User login
Trastuzumab Benefit Persists at 4 Years in HER2-Positive Breast Cancer
One year of adjuvant trastuzumab following standard chemotherapy is associated with significantly improved long-term, disease-free survival in women with early-stage HER2-positive breast cancer, according to updated findings from the ongoing international, randomized phase III Herceptin Adjuvant trial.
Disease-free survival at a median follow-up of 48.4 months was 78.6% in 1,703 women who were initially randomized to receive 1 year of treatment with trastuzumab (Herceptin) following chemotherapy, compared with 72.2% in 1,698 women randomized to observation following chemotherapy (hazard ratio, 0.76), Dr. Luca Gianni of the Istituto Nazioniale dei Tumori in Milan and colleagues from the HERA Trial Study Team reported online in the Feb. 25 issue of the Lancet Oncology.
Overall survival did not differ significantly between the treatment and observation groups (89.3% and 87.7%, respectively), but the investigators attributed this to the substantial crossover from the observation group to the treatment group after 1-year follow-up results from this study, which were published in 2005.
"This effect was not recorded at 2-year median follow-up, probably because of the short duration of follow-up after crossover at that time" (median, 2.6 moths vs. 29.1 months in this analysis)," they explained.
More than half (52%) of the observation group patients crossed over to receive trastuzumab after the 1-year analysis, beginning treatment at a median of 22.8 months after randomization. Those patients were found in the current study to have fewer disease-free survival events than did those who did not cross over (adjusted hazard ratio, 0.68), the investigators said (Lancet Oncol. 2011 Feb. 25 [doi:10.1016/S1470-2045(11)70033-x]).
Women in the HERA trial had early-stage HER-2-positive breast cancer, an aggressive form of breast cancer that represents about 15%-25% of breast cancers and confers an increased risk of recurrence and mortality. They were enrolled between December 2001 and June 2005, and were randomized to an observation group, a 1-year treatment group, or a 2-year treatment group. Treatment group patients received trastuzumab, a humanized monoclonal antibody that targets the extracellular domain of the HER2 receptor. Treatment was given as an intravenous infusion over 90 minutes every 3 weeks at an initial loading dose of 8 mg/kg and at a dose of 6 mg/kg thereafter.
Trastuzumab was generally well tolerated, although higher incidence of grades 3/4 and fatal adverse events occurred in the 1-year treatment group than in the observation group, they noted, adding that the most common of these – cardiac failure, hypertension, arthralgia, back pain, central-line infection, hot flush, headache, and diarrhea – each occurred in fewer than 1% of patients.
The interim analysis at 1 year showed that 12 months of treatment with trastuzumab was associated with a 46% reduction in disease recurrence. The 2-year follow-up data that were published in 2007 confirmed the disease-free survival benefit (HR, 0.64) and also demonstrated an overall survival benefit (HR, 0.66), the investigators noted.
"The HERA trial results confirm that treatment with adjuvant trastuzumab for 1 year is associated with persisting benefit in women with HER2-positive early breast cancer," the investigators said, concluding that trastuzumab given sequentially to chemotherapy "remains an appropriate treatment modality" in these patients.
They also noted that the possibility that women might derive further benefits from treatment for longer than 1 year is currently being explored in a comparison of the outcomes in the 1-year and 2-year treatment groups of the HERA trial.
F. Hoffmann-La Roche and the Michelangelo Foundation funded the study, which was conducted by the Breast International Group (BIG). Several authors, including Dr. Gianni, reported receiving funding from Roche, such as for advisory board membership, research support, speakers honoraria, consultancy, and travel. One author, Susanne Muehlbauer, is an employee of Roche and has stock options in the company.
In an accompanying editorial, Dr. Heikki Joensuu noted that when the
HERA trial was designed, a sequential approach was preferred, and thus
trastuzumab was given as a single drug (similar to endocrine therapy
after chemotherapy).
Increasingly, however, evidence suggests
that concomitant administration might be more effective, she said. Large
trials using a concomitant approach have demonstrated an overall
survival advantage with combination treatment, whereas HERA and two
other trials comparing sequential treatment have not.
In
addition, although the crossover data from HERA are provocative, they
"cannot be regarded sufficient evidence to recommend deferring the start
of trastuzumab 1-3 years after the completion of chemotherapy," Dr.
Joensuu argued, adding that the "data were not from a randomized
comparison and are probably confounded by patient selection, and thus
supportive evidence, preferably from randomized trials, is needed before
deferred trastuzumab can be accepted as standard therapy" (Lancet Oncol. 2011 Feb. 25 [doi:10.1016/S1470-2045(11)70039-0]).
Longer
follow-up is needed, as is more research regarding concomitant
treatment and integration of other therapies; recent findings suggest
that integration of two anti-HER2 drugs and taxane might add further
efficacy, Dr. Joensuu said.
In another editorial, Dr. Ivana
Bozovic-Spasojevic and colleagues also addressed the use of concurrent
treatments – specifically trastuzumab and anthracyclines-based
chemotherapy – arguing that the evidence is insufficient to safely
promote concurrent treatment for primary HER2-positive breast cancer.
In
a combined analysis of data from three neoadjuvant studies, they
demonstrated an increased risk of cardiac toxicity with concurrent
treatment. Their comment calls for a randomized phase III trial to
compare sequential with concomitant administration of trastuzumab and
anthracycline-based chemotherapy.
Until a higher risk-benefit
ratio can be "convincingly shown," these authors "strongly discourage
the concurrent use of trastuzumab and anthracylines-based regimens in
clinical practice outside of the context of a clinical trial (Lancet Oncol. 2011 Feb 25 [doi:10.1016/S1470-2045(11)70013-4]).
Dr. Joensuu is with Helsinki University Central Hospital. Dr. Bozovic-Spasojevic is with Université Libre de Bruxelles (Brussels). Neither Dr. Joensuu nor Dr. Bozovic-Spasojevic had disclosures to report, but several of Dr.
Bozovic-Spasojevic’s coauthors received payment for honoraria,
consultancy work, lectures, grant, and travel support from Roche.
In an accompanying editorial, Dr. Heikki Joensuu noted that when the
HERA trial was designed, a sequential approach was preferred, and thus
trastuzumab was given as a single drug (similar to endocrine therapy
after chemotherapy).
Increasingly, however, evidence suggests
that concomitant administration might be more effective, she said. Large
trials using a concomitant approach have demonstrated an overall
survival advantage with combination treatment, whereas HERA and two
other trials comparing sequential treatment have not.
In
addition, although the crossover data from HERA are provocative, they
"cannot be regarded sufficient evidence to recommend deferring the start
of trastuzumab 1-3 years after the completion of chemotherapy," Dr.
Joensuu argued, adding that the "data were not from a randomized
comparison and are probably confounded by patient selection, and thus
supportive evidence, preferably from randomized trials, is needed before
deferred trastuzumab can be accepted as standard therapy" (Lancet Oncol. 2011 Feb. 25 [doi:10.1016/S1470-2045(11)70039-0]).
Longer
follow-up is needed, as is more research regarding concomitant
treatment and integration of other therapies; recent findings suggest
that integration of two anti-HER2 drugs and taxane might add further
efficacy, Dr. Joensuu said.
In another editorial, Dr. Ivana
Bozovic-Spasojevic and colleagues also addressed the use of concurrent
treatments – specifically trastuzumab and anthracyclines-based
chemotherapy – arguing that the evidence is insufficient to safely
promote concurrent treatment for primary HER2-positive breast cancer.
In
a combined analysis of data from three neoadjuvant studies, they
demonstrated an increased risk of cardiac toxicity with concurrent
treatment. Their comment calls for a randomized phase III trial to
compare sequential with concomitant administration of trastuzumab and
anthracycline-based chemotherapy.
Until a higher risk-benefit
ratio can be "convincingly shown," these authors "strongly discourage
the concurrent use of trastuzumab and anthracylines-based regimens in
clinical practice outside of the context of a clinical trial (Lancet Oncol. 2011 Feb 25 [doi:10.1016/S1470-2045(11)70013-4]).
Dr. Joensuu is with Helsinki University Central Hospital. Dr. Bozovic-Spasojevic is with Université Libre de Bruxelles (Brussels). Neither Dr. Joensuu nor Dr. Bozovic-Spasojevic had disclosures to report, but several of Dr.
Bozovic-Spasojevic’s coauthors received payment for honoraria,
consultancy work, lectures, grant, and travel support from Roche.
In an accompanying editorial, Dr. Heikki Joensuu noted that when the
HERA trial was designed, a sequential approach was preferred, and thus
trastuzumab was given as a single drug (similar to endocrine therapy
after chemotherapy).
Increasingly, however, evidence suggests
that concomitant administration might be more effective, she said. Large
trials using a concomitant approach have demonstrated an overall
survival advantage with combination treatment, whereas HERA and two
other trials comparing sequential treatment have not.
In
addition, although the crossover data from HERA are provocative, they
"cannot be regarded sufficient evidence to recommend deferring the start
of trastuzumab 1-3 years after the completion of chemotherapy," Dr.
Joensuu argued, adding that the "data were not from a randomized
comparison and are probably confounded by patient selection, and thus
supportive evidence, preferably from randomized trials, is needed before
deferred trastuzumab can be accepted as standard therapy" (Lancet Oncol. 2011 Feb. 25 [doi:10.1016/S1470-2045(11)70039-0]).
Longer
follow-up is needed, as is more research regarding concomitant
treatment and integration of other therapies; recent findings suggest
that integration of two anti-HER2 drugs and taxane might add further
efficacy, Dr. Joensuu said.
In another editorial, Dr. Ivana
Bozovic-Spasojevic and colleagues also addressed the use of concurrent
treatments – specifically trastuzumab and anthracyclines-based
chemotherapy – arguing that the evidence is insufficient to safely
promote concurrent treatment for primary HER2-positive breast cancer.
In
a combined analysis of data from three neoadjuvant studies, they
demonstrated an increased risk of cardiac toxicity with concurrent
treatment. Their comment calls for a randomized phase III trial to
compare sequential with concomitant administration of trastuzumab and
anthracycline-based chemotherapy.
Until a higher risk-benefit
ratio can be "convincingly shown," these authors "strongly discourage
the concurrent use of trastuzumab and anthracylines-based regimens in
clinical practice outside of the context of a clinical trial (Lancet Oncol. 2011 Feb 25 [doi:10.1016/S1470-2045(11)70013-4]).
Dr. Joensuu is with Helsinki University Central Hospital. Dr. Bozovic-Spasojevic is with Université Libre de Bruxelles (Brussels). Neither Dr. Joensuu nor Dr. Bozovic-Spasojevic had disclosures to report, but several of Dr.
Bozovic-Spasojevic’s coauthors received payment for honoraria,
consultancy work, lectures, grant, and travel support from Roche.
One year of adjuvant trastuzumab following standard chemotherapy is associated with significantly improved long-term, disease-free survival in women with early-stage HER2-positive breast cancer, according to updated findings from the ongoing international, randomized phase III Herceptin Adjuvant trial.
Disease-free survival at a median follow-up of 48.4 months was 78.6% in 1,703 women who were initially randomized to receive 1 year of treatment with trastuzumab (Herceptin) following chemotherapy, compared with 72.2% in 1,698 women randomized to observation following chemotherapy (hazard ratio, 0.76), Dr. Luca Gianni of the Istituto Nazioniale dei Tumori in Milan and colleagues from the HERA Trial Study Team reported online in the Feb. 25 issue of the Lancet Oncology.
Overall survival did not differ significantly between the treatment and observation groups (89.3% and 87.7%, respectively), but the investigators attributed this to the substantial crossover from the observation group to the treatment group after 1-year follow-up results from this study, which were published in 2005.
"This effect was not recorded at 2-year median follow-up, probably because of the short duration of follow-up after crossover at that time" (median, 2.6 moths vs. 29.1 months in this analysis)," they explained.
More than half (52%) of the observation group patients crossed over to receive trastuzumab after the 1-year analysis, beginning treatment at a median of 22.8 months after randomization. Those patients were found in the current study to have fewer disease-free survival events than did those who did not cross over (adjusted hazard ratio, 0.68), the investigators said (Lancet Oncol. 2011 Feb. 25 [doi:10.1016/S1470-2045(11)70033-x]).
Women in the HERA trial had early-stage HER-2-positive breast cancer, an aggressive form of breast cancer that represents about 15%-25% of breast cancers and confers an increased risk of recurrence and mortality. They were enrolled between December 2001 and June 2005, and were randomized to an observation group, a 1-year treatment group, or a 2-year treatment group. Treatment group patients received trastuzumab, a humanized monoclonal antibody that targets the extracellular domain of the HER2 receptor. Treatment was given as an intravenous infusion over 90 minutes every 3 weeks at an initial loading dose of 8 mg/kg and at a dose of 6 mg/kg thereafter.
Trastuzumab was generally well tolerated, although higher incidence of grades 3/4 and fatal adverse events occurred in the 1-year treatment group than in the observation group, they noted, adding that the most common of these – cardiac failure, hypertension, arthralgia, back pain, central-line infection, hot flush, headache, and diarrhea – each occurred in fewer than 1% of patients.
The interim analysis at 1 year showed that 12 months of treatment with trastuzumab was associated with a 46% reduction in disease recurrence. The 2-year follow-up data that were published in 2007 confirmed the disease-free survival benefit (HR, 0.64) and also demonstrated an overall survival benefit (HR, 0.66), the investigators noted.
"The HERA trial results confirm that treatment with adjuvant trastuzumab for 1 year is associated with persisting benefit in women with HER2-positive early breast cancer," the investigators said, concluding that trastuzumab given sequentially to chemotherapy "remains an appropriate treatment modality" in these patients.
They also noted that the possibility that women might derive further benefits from treatment for longer than 1 year is currently being explored in a comparison of the outcomes in the 1-year and 2-year treatment groups of the HERA trial.
F. Hoffmann-La Roche and the Michelangelo Foundation funded the study, which was conducted by the Breast International Group (BIG). Several authors, including Dr. Gianni, reported receiving funding from Roche, such as for advisory board membership, research support, speakers honoraria, consultancy, and travel. One author, Susanne Muehlbauer, is an employee of Roche and has stock options in the company.
One year of adjuvant trastuzumab following standard chemotherapy is associated with significantly improved long-term, disease-free survival in women with early-stage HER2-positive breast cancer, according to updated findings from the ongoing international, randomized phase III Herceptin Adjuvant trial.
Disease-free survival at a median follow-up of 48.4 months was 78.6% in 1,703 women who were initially randomized to receive 1 year of treatment with trastuzumab (Herceptin) following chemotherapy, compared with 72.2% in 1,698 women randomized to observation following chemotherapy (hazard ratio, 0.76), Dr. Luca Gianni of the Istituto Nazioniale dei Tumori in Milan and colleagues from the HERA Trial Study Team reported online in the Feb. 25 issue of the Lancet Oncology.
Overall survival did not differ significantly between the treatment and observation groups (89.3% and 87.7%, respectively), but the investigators attributed this to the substantial crossover from the observation group to the treatment group after 1-year follow-up results from this study, which were published in 2005.
"This effect was not recorded at 2-year median follow-up, probably because of the short duration of follow-up after crossover at that time" (median, 2.6 moths vs. 29.1 months in this analysis)," they explained.
More than half (52%) of the observation group patients crossed over to receive trastuzumab after the 1-year analysis, beginning treatment at a median of 22.8 months after randomization. Those patients were found in the current study to have fewer disease-free survival events than did those who did not cross over (adjusted hazard ratio, 0.68), the investigators said (Lancet Oncol. 2011 Feb. 25 [doi:10.1016/S1470-2045(11)70033-x]).
Women in the HERA trial had early-stage HER-2-positive breast cancer, an aggressive form of breast cancer that represents about 15%-25% of breast cancers and confers an increased risk of recurrence and mortality. They were enrolled between December 2001 and June 2005, and were randomized to an observation group, a 1-year treatment group, or a 2-year treatment group. Treatment group patients received trastuzumab, a humanized monoclonal antibody that targets the extracellular domain of the HER2 receptor. Treatment was given as an intravenous infusion over 90 minutes every 3 weeks at an initial loading dose of 8 mg/kg and at a dose of 6 mg/kg thereafter.
Trastuzumab was generally well tolerated, although higher incidence of grades 3/4 and fatal adverse events occurred in the 1-year treatment group than in the observation group, they noted, adding that the most common of these – cardiac failure, hypertension, arthralgia, back pain, central-line infection, hot flush, headache, and diarrhea – each occurred in fewer than 1% of patients.
The interim analysis at 1 year showed that 12 months of treatment with trastuzumab was associated with a 46% reduction in disease recurrence. The 2-year follow-up data that were published in 2007 confirmed the disease-free survival benefit (HR, 0.64) and also demonstrated an overall survival benefit (HR, 0.66), the investigators noted.
"The HERA trial results confirm that treatment with adjuvant trastuzumab for 1 year is associated with persisting benefit in women with HER2-positive early breast cancer," the investigators said, concluding that trastuzumab given sequentially to chemotherapy "remains an appropriate treatment modality" in these patients.
They also noted that the possibility that women might derive further benefits from treatment for longer than 1 year is currently being explored in a comparison of the outcomes in the 1-year and 2-year treatment groups of the HERA trial.
F. Hoffmann-La Roche and the Michelangelo Foundation funded the study, which was conducted by the Breast International Group (BIG). Several authors, including Dr. Gianni, reported receiving funding from Roche, such as for advisory board membership, research support, speakers honoraria, consultancy, and travel. One author, Susanne Muehlbauer, is an employee of Roche and has stock options in the company.
Major Finding: Disease-free survival at a median follow-up of 48.4 months in 1,703 women initially randomized to receive 1 year of treatment with trastuzumab following chemotherapy was 78.6%, compared with 72.2% in 1,698 women randomized to observation following chemotherapy (HR, 0.76).
Data Source: The ongoing phase III international, randomized, controlled HERA trial in women with early-stage HER2-positive breast cancer.
Disclosures: F. Hoffmann-La Roche and the Michelangelo Foundation funded the study, which was conducted by the Breast International Group (BIG). Several authors, including Dr. Gianni, reported receiving funding from Roche, such as for advisory board membership, research support, speakers honoraria, consultancy, and travel. One author, Susanne Muehlbauer, is an employee of Roche and has stock options in the company.
FDA Grants Hearing on Withdrawal of Bevacizumab Approval
The Food and Drug Administration has granted Genentech a 2-day hearing on the agency’s plan to strip bevacizumab of accelerated approval for the treatment of metastatic breast cancer, the company announced on Feb. 24.
Genentech, a member of the Roche group, has appealed the proposed withdrawal of the indication for bevacizumab (Avastin) in combination with paclitaxel (Taxol) as a first-line treatment of HER2-negative metastatic breast cancer. The decision was based on the failure of a follow-up study to confirm a progression-free survival benefit for the regimen. It followed a near-unanimous recommendation favoring withdrawal by the FDA’s Oncologic Drugs Advisory Committee, which expressed concern about risks associated with treatment.
In 2008, bevacizumab received the accelerated approval for the metastatic breast cancer indication; conversion to full approval was contingent on the confirmation of benefit in follow-up studies. It is approved for other indications, so the drug itself is not being taken off the market.
The hearing is scheduled for June 28-29, 2011. "We appreciate the opportunity to continue our discussion with the FDA during a public hearing about the use of Avastin in metastatic breast cancer," Dr. Hal Barron, chief medical office and head of Global Product Development at Genentech said in the company statement.
The Food and Drug Administration has granted Genentech a 2-day hearing on the agency’s plan to strip bevacizumab of accelerated approval for the treatment of metastatic breast cancer, the company announced on Feb. 24.
Genentech, a member of the Roche group, has appealed the proposed withdrawal of the indication for bevacizumab (Avastin) in combination with paclitaxel (Taxol) as a first-line treatment of HER2-negative metastatic breast cancer. The decision was based on the failure of a follow-up study to confirm a progression-free survival benefit for the regimen. It followed a near-unanimous recommendation favoring withdrawal by the FDA’s Oncologic Drugs Advisory Committee, which expressed concern about risks associated with treatment.
In 2008, bevacizumab received the accelerated approval for the metastatic breast cancer indication; conversion to full approval was contingent on the confirmation of benefit in follow-up studies. It is approved for other indications, so the drug itself is not being taken off the market.
The hearing is scheduled for June 28-29, 2011. "We appreciate the opportunity to continue our discussion with the FDA during a public hearing about the use of Avastin in metastatic breast cancer," Dr. Hal Barron, chief medical office and head of Global Product Development at Genentech said in the company statement.
The Food and Drug Administration has granted Genentech a 2-day hearing on the agency’s plan to strip bevacizumab of accelerated approval for the treatment of metastatic breast cancer, the company announced on Feb. 24.
Genentech, a member of the Roche group, has appealed the proposed withdrawal of the indication for bevacizumab (Avastin) in combination with paclitaxel (Taxol) as a first-line treatment of HER2-negative metastatic breast cancer. The decision was based on the failure of a follow-up study to confirm a progression-free survival benefit for the regimen. It followed a near-unanimous recommendation favoring withdrawal by the FDA’s Oncologic Drugs Advisory Committee, which expressed concern about risks associated with treatment.
In 2008, bevacizumab received the accelerated approval for the metastatic breast cancer indication; conversion to full approval was contingent on the confirmation of benefit in follow-up studies. It is approved for other indications, so the drug itself is not being taken off the market.
The hearing is scheduled for June 28-29, 2011. "We appreciate the opportunity to continue our discussion with the FDA during a public hearing about the use of Avastin in metastatic breast cancer," Dr. Hal Barron, chief medical office and head of Global Product Development at Genentech said in the company statement.
Letter - Acneiform Rash as a Reaction to Radiotherapy in a Breast Cancer Patient
Yevgeniy Balagulaa, Jennifer R. Hensleyb, Pedram Geramic and Mario E. Lacouturea
Available online 25 January 2011.
Acute dermatologic toxicities such as radiation dermatitis and oropharyngeal mucositis may affect up to 90% of treated breast and head-and-neck cancer patients.[1] and [2] These adverse events can be accompanied by a significant amount of pain, negatively impact patients' quality of life, and result in interruption of therapy.3 The cutaneous changes of acute radiation dermatitis, characterized by erythema and dry desquamation that can potentially progress to edema and moist desquamation, ulceration, and necrosis, are typically seen within 90 days of radiotherapy exposure.4 In addition to acute toxicity, late sequelae of radiation injury include telangiectasias, fat necrosis, skin fibrosis, pigmentary changes, and atrophy. These changes may manifest months to years after radiotherapy, even in the absence of the initial significant acute reaction.4 Radiation-induced acneiform rash, also referred to as a “comedo reaction,” is a rare dermatologic reaction that has been documented in a variety of cancers and with different types of radiotherapy. Although this particular toxicity is observed much less commonly, familiarity with this entity is important in order to ensure timely recognition and institution of the appropriate treatment. In this case report we describe a breast cancer patient who developed acneiform rash to radiation and review its clinical characteristics, risk factors, potential underlying mechanisms, and management strategies.
Case Report
A 56-year-old female was referred to dermatology for evaluation of a pruritic rash on her left chest and back of 4 months' duration. Her past medical history was significant for a right breast carcinoma treated with mastectomy and radiation 22 years ago. Subsequently, she developed a second primary carcinoma of the left breast, for which treatment with chemotherapy and radiation was completed 4 months prior to her presentation. Initially, she reported developing eruptive tender papules and pustules affecting her left chest and back after radiotherapy. Physical examination revealed a right mastectomy scar with abundant telangiectasias. Numerous dilated comedones, pustules, and deep nodules were seen limited to the left chest, the area of recent radiation. In addition, dilated comedones were seen on the left back (Figure 1). Histopathologic examination of the affected skin revealed a dilated and ruptured follicular infundibulum with markedly atrophic epithelial lining. There was a dense suppurative inflammatory infiltrate in the follicle with rare Demodex mites. Mild spongiosis was noted in the overlying epidermis, which otherwise was unremarkable (Figure 2). At the time of her visit, the patient was not taking comedogenic drugs, such as corticosteroids, sex hormones, isoniazid, and anticonvulsants. The diagnosis of acneiform rash as a reaction to radiation therapy was made, and the patient was treated with daily application of topical tretinoin 0.025% cream, benzoyl peroxide 5% gel, and oral doxycycline 100 mg twice a day. This resulted in partial response within 8 weeks of therapy that had been sustained through the last recorded visit at 12 weeks.
Discussion
The development of localized comedos or an acneiform rash is a relatively rare reaction to radiation therapy. This observation was first reported in 1947 as a concentric ring of comedones forming at the margin of a superficial radiation field after 3 months of treatment.5 Subsequently, reports have been published in the literature, occurring in the setting of different types of radiotherapy. Comedonal or acneiform eruptions have been described as sequelae of superficial radiation for treatment of cutaneous nonmelanoma skin cancers (NMSCs);[5] and [6] cobalt radiation utilized in breast,7 brain,8 NMSC,9 lymphoma,10 and lung[10] and [11] cancer patients; and following megavoltage radiotherapy.12 A spectrum of lesion morphologies can be seen, with some patients presenting with only open8 or closed[9] and [13] comedones, occasional scattered inflammatory papules,14 or a florid eruption with erythematous papules, pustules, and comedones,[7] and [15] as was seen in our patient. Acneiform rash has been reported to occur following the resolution of acute radiation dermatitis,[7], [16] and [17] in those without a preceding acute skin reaction,[9] and [11] or superimposed on changes of chronic radiation dermatitis, characterized by pigmentary abnormalities and fibrosis.[8] and [11] Interestingly, in addition to skin directly affected by the incident radiation, the eruption can involve skin regions where a fraction of penetrating radiation exits directly opposite of the irradiated site, such as the back of a breast cancer patient.11
Martin and Bardsley17 reviewed 27 cases of radiation-induced acne in an attempt to better characterize the rash and its clinical presentation. This analysis demonstrated a variable latent period, ranging from 2 weeks to 6 months following radiation treatment. While involved body sites included any irradiated skin area, from the scalp to the pelvis, the majority of cases manifested on the scalp, face, or neck (16 out of 27). Notably, the upper trunk was another common site of involvement (10 cases). There was also a suggestion that the reaction was more common in patients who had recently been treated with agents known to induce acne, such as corticosteroids, sex hormones, isoniazid, and anticonvulsants. In contrast, previous personal history of acne did not appear as a significant predisposing factor.17
The pathophysiology of radiation-induced acne is currently unknown. However, the underlying mechanisms responsible for the development of acne vulgaris can offer insights into our understanding of radiation-induced changes. The pilosebaceous unit is the site of acne formation in normal skin. Formation of a microcomedone, a critical initial step in the development of acne, and its progression to noninflammatory lesions such as open comedone (black head), closed comedone (white head), and inflammation, characterized by erythematous papules, pustules, and nodules, is a complex multifactorial process. The principal event currently thought to drive comedogenesis is hyperproliferation of keratinocytes in the pilosebaceous ducts, leading to accumulation of corneocytes (anucleate cells filled with keratin) and sebum with subsequent occlusion of the follicular infundibulum.18 The triggers that initiate this process, however, are not completely understood. Several pathogenic factors have been implicated as potential etiologies. Testosterone and its more active form 5α-dihydrotestosterone stimulate excessive sebum production and may contribute to ductal hyperproliferation.[19] and [20] Aberrations in sebaceous lipids such as an increase in fatty acids, which possess proinflammatory and comedogenic properties, and low levels of linoleic acid may be important factors in inducing ductal hyperproliferation and comedogenesis.21 Interleukin (IL)-1α has been shown to induce comedogenesis in in vitro models[22] and [23] and is found at high concentration in open comedones, potentially playing a role in the progression of comedones to inflammatory lesions.24 Secondary colonization and overgrowth of Propionibacterium acnes can result in increased production of IL-8 and tumor necrosis factor (TNF)-α,25 lead to recruitment of neutrophils and lymphocytes,26 and induce a hypersensitivity reaction,27 events that may contribute to the development of inflammatory lesions.
It is unclear how radiation can rarely induce comedogenesis. However, it is possible that a florid inflammatory response induced by an acute radiation injury and characterized by increased expression of leukocyte adhesion molecules and inflammatory cytokines such as IL-1, IL-6, and TNF-α28 may play a role. Alternatively, radiation-induced changes in the lipid composition of sebum may lead to keratinocyte hyperproliferation in the sebaceous ducts.17 Other authors have implicated chronic follicular inflammation and increased follicular hyperkeratosis as potential culprits.11 Chronic sequelae of radiation injury in skin develop months to years following the period of acute exposure and are characterized by the absence of hair follicles and sebaceous glands and the presence of fibrosis, thought to be mediated by transforming growth factor (TGF)-β.29 Accordingly, it had been postulated that remnants of pilosebaceous units in the skin may serve as foreign bodies that are able to induce an inflammatory reaction that clinically manifests with acne lesions.30
Timely and accurate recognition of this rare adverse event may facilitate implementation of appropriate treatment strategies. Although no evidence-based data support the use of typical anti-acne treatments in this patient population due to its low incidence, similar strategies have been employed to manage radiation-associated acneiform rash. Typical agents for acne vulgaris such as topical retinoic acid, benzoyl peroxide, antiseptic cleansing solutions, and oral antibiotics have been used, usually with good response and subsequent resolution.[7], [8], [9], [13], [14], [15] and [30] In addition, manual extraction of comedones with a comedo extractor has been successfully utilized.17 The use of lower concentrations of benzoyl peroxide (2.5% and 5%) is preferred to 10% formulations, considering their similar clinical efficacy in acne vulgaris but diminished frequency and severity of peeling, erythema, and burning.31 Combining benzoyl peroxide with topical antimicrobial agents such as clindamycin or with topical retinoids improves the clinical response. Of note, generic tretinoin undergoes oxidative degradation and should be applied separately from benzoyl peroxide.32 Topical retinoids possess a microcomedolytic activity and are also effective against noninflammatory and inflammatory lesions. Their combination with either topical or systemic antibiotics enhances therapeutic efficacy and can be used to manage more severe manifestations.33 Retinoids can induce skin erythema and burning, which can be mitigated by consistent use of a moisturizing cream.33 The benefit of systemic semisynthetic tetracycline antibiotics is derived from their antimicrobial and anti-inflammatory properties. Even though doxycycline is phototoxic, its use is preferred to minocycline, which is not more effective and may be associated with higher rates of toxicity, including more severe adverse events such as drug-induced systemic lupus erythematosus and autoimmune hepatitis.34 The clinical response in patients with radiation-induced acne is not immediate and, similar to acne vulgaris, may require several months of treatment. Compliance with therapy is important, and patients may be counseled that prolonged therapy may be required but subsequent resolution can be typically achieved.
Conclusion
In conclusion, acneiform rash is a relatively rare adverse event of radiotherapy that tends to affect areas with a high density of sebaceous glands, such as the face, scalp, and upper trunk, and can be usually successfully managed with typical anti-acne agents.
References1
1 J.L. Harper, L.E. Franklin, J.M. Jenrette and E.G. Aguero, Skin toxicity during breast irradiation: pathophysiology and management, South Med J 97 (10) (2004), pp. 989–993. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (35)
2 A. Trotti, L.A. Bellm, J.B. Epstein, D. Frame, H.J. Fuchs and C.K. Gwede et al., Mucositis incidence, severity and associated outcomes in patients with head and neck cancer receiving radiotherapy with or without chemotherapy: a systematic literature review, Radiother Oncol 66 (3) (2003), pp. 253–262. Article |
3 E.A. Elliott, J.R. Wright, R.S. Swann, F. Nguyen-Tan, C. Takita and M.K. Bucci et al., Phase III trial of an emulsion containing trolamine for the prevention of radiation dermatitis in patients with advanced squamous cell carcinoma of the head and neck: results of Radiation Therapy Oncology Group Trial 99-13, J Clin Oncol 24 (13) (2006), pp. 2092–2097. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (13)
4 S.R. Hymes, E.A. Strom and C. Fife, Radiation dermatitis: clinical presentation, pathophysiology, and treatment 2006, J Am Acad Dermatol 54 (1) (2006), pp. 28–46. Article |
5 S.M. Bluefarb, Comedos following roentgen ray therapy, Arch Dermatol Syph 56 (1947), pp. 537–539.
6 F. Ronchese, Cicatricial comedos and milia, Arch Dermatol Syph 61 (1950), pp. 498–500. View Record in Scopus | Cited By in Scopus (8)
7 B. Adriaans and A. du Vivier, Acne in an irradiated area, Arch Dermatol 125 (7) (1989), p. 1005. View Record in Scopus | Cited By in Scopus (3)
8 J.F. Walter, Cobalt radiation–induced comedones, Arch Dermatol 116 (9) (1980), pp. 1073–1074. View Record in Scopus | Cited By in Scopus (5)
9 F.S. Larsen, G. Heydenreich and J.V. Christiansen, Comedo formation following cobalt irradiation, Dermatologica 158 (4) (1979), pp. 287–292.
10 E.P. Engels, U. Leavell and Y. Maruyama, Radiogenic acne and comedones, Radiol Clin Biol 43 (1) (1974), pp. 48–55. View Record in Scopus | Cited By in Scopus (6)
11 K.M. Stein, J.J. Leyden and H. Goldschmidt, Localized acneiform eruption following cobalt irradiation, Br J Dermatol 87 (3) (1972), pp. 274–279. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (9)
12 N.C. Hepburn, R.P. Crellin, G.W. Beveridge, A. Rodger and M.J. Tidman, Localized acne as a complication of megavoltage radiotherapy, J Dermatol Treat 3 (1992), pp. 137–138. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (7)
13 P.L. Myskowski and B. Safai, Localized comedo formation after cobalt irradiation, Int J Dermatol 20 (8) (1981), pp. 550–551. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (4)
14 A.J. Aversa and R. Nagy, Localized comedones following radiation therapy, Cutis 31 (3) (1983), pp. 296–303.
15 J. Song, S.J. Ha, C.W. Kim and H.O. Kim, A case of localized acne following radiation therapy, Acta Derm Venereol 82 (1) (2002), pp. 69–70. Full Text via CrossRef
16 S. Swift, Localized acne following deep X-ray therapy, AMA Arch Dermatol 74 (1) (1956), pp. 97–98.
17 W.M. Martin and A.F. Bardsley, The comedo skin reaction to radiotherapy, Br J Radiol 75 (893) (2002), pp. 478–481. View Record in Scopus | Cited By in Scopus (7)
18 W.J. Cunliffe, D.B. Holland, S.M. Clark and G.I. Stables, Comedogenesis: some new aetiological, clinical and therapeutic strategies, Br J Dermatol 142 (6) (2000), pp. 1084–1091. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (76)
19 D. Thiboutot, H. Knaggs, K. Gilliland and G. Lin, Activity of 5-alpha-reductase and 17-beta-hydroxysteroid dehydrogenase in the infrainfundibulum of subjects with and without acne vulgaris, Dermatology 196 (1) (1998), pp. 38–42. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (38)
20 C.C. Zouboulis, L. Xia and H. Akamatsu et al., The human sebocyte culture model provides new insights into development and management of seborrhoea and acne, Dermatology 196 (1) (1998), pp. 21–31. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (96)
21 H. Gollnick, Current concepts of the pathogenesis of acne: implications for drug treatment, Drugs 63 (15) (2003), pp. 1579–1596. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (83)
22 R. Guy, M.R. Green and T. Kealey, Modeling acne in vitro, J Invest Dermatol 106 (1) (1996), pp. 176–182. View Record in Scopus | Cited By in Scopus (82)
23 R. Guy and T. Kealey, The effects of inflammatory cytokines on the isolated human sebaceous infundibulum, J Invest Dermatol 110 (4) (1998), pp. 410–415. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (27)
24 E. Ingham, E.A. Eady, C.E. Goodwin, J.H. Cove and W.J. Cunliffe, Pro-inflammatory levels of interleukin-1 alpha-like bioactivity are present in the majority of open comedones in acne vulgaris, J Invest Dermatol 98 (6) (1992), pp. 895–901. View Record in Scopus | Cited By in Scopus (63)
25 G.F. Webster and J.J. Leyden, Characterization of serum-independent polymorphonuclear leukocyte chemotactic factors produced by Propionibacterium acnes, Inflammation 4 (3) (1980), pp. 261–269. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (34)
26 D.G. Scott, W.J. Cunliffe and G. Gowland, Activation of complement—a mechanism for the inflammation in acne, Br J Dermatol 101 (3) (1979), pp. 315–320. View Record in Scopus | Cited By in Scopus (11)
27 H.R. Ashbee, S.R. Muir, W.J. Cunliffe and E. Ingham, IgG subclasses specific to Staphylococcus epidermidis and Propionibacterium acnes in patients with acne vulgaris, Br J Dermatol 136 (5) (1997), pp. 730–733. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (31)
28 J.W. Denham and M. Hauer-Jensen, The radiotherapeutic injury—a complex ”wound.”, Radiother Oncol 63 (2) (2002), pp. 129–145. Article |
29 M.E. Lacouture, C. Hwang, M.H. Marymont and J. Patel, Temporal dependence of the effect of radiation on erlotinib-induced skin rash, J Clin Oncol 25 (15) (2007), p. 2140 author reply 2141. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (15)
30 T.N. Trunnell, R.L. Baer and P. Michaelides, Acneform changes in areas of cobalt irradiation, Arch Dermatol 106 (1) (1972), pp. 73–75. View Record in Scopus | Cited By in Scopus (8)
31 O.H. Mills Jr, A.M. Kligman, P. Pochi and H. Comite, Comparing 2.5%, 5%, and 10% benzoyl peroxide on inflammatory acne vulgaris, Int J Dermatol 25 (10) (1986), pp. 664–667. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (39)
32 M. Sagransky, B.A. Yentzer and S.R. Feldman, Benzoyl peroxide: a review of its current use in the treatment of acne vulgaris, Expert Opin Pharmacother 10 (15) (2009), pp. 2555–2562. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (7)
33 A. Thielitz, M.B. Abdel-Naser, J.W. Fluhr, C.C. Zouboulis and H. Gollnick, Topical retinoids in acne—an evidence-based overview, J Dtsch Dermatol Ges 6 (12) (2008), pp. 1023–1031. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (9)
34 F. Ochsendorf, Minocycline in acne vulgaris: benefits and risks, Am J Clin Dermatol 11 (5) (2010), pp. 327–341. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (2)
Yevgeniy Balagulaa, Jennifer R. Hensleyb, Pedram Geramic and Mario E. Lacouturea
Available online 25 January 2011.
Acute dermatologic toxicities such as radiation dermatitis and oropharyngeal mucositis may affect up to 90% of treated breast and head-and-neck cancer patients.[1] and [2] These adverse events can be accompanied by a significant amount of pain, negatively impact patients' quality of life, and result in interruption of therapy.3 The cutaneous changes of acute radiation dermatitis, characterized by erythema and dry desquamation that can potentially progress to edema and moist desquamation, ulceration, and necrosis, are typically seen within 90 days of radiotherapy exposure.4 In addition to acute toxicity, late sequelae of radiation injury include telangiectasias, fat necrosis, skin fibrosis, pigmentary changes, and atrophy. These changes may manifest months to years after radiotherapy, even in the absence of the initial significant acute reaction.4 Radiation-induced acneiform rash, also referred to as a “comedo reaction,” is a rare dermatologic reaction that has been documented in a variety of cancers and with different types of radiotherapy. Although this particular toxicity is observed much less commonly, familiarity with this entity is important in order to ensure timely recognition and institution of the appropriate treatment. In this case report we describe a breast cancer patient who developed acneiform rash to radiation and review its clinical characteristics, risk factors, potential underlying mechanisms, and management strategies.
Case Report
A 56-year-old female was referred to dermatology for evaluation of a pruritic rash on her left chest and back of 4 months' duration. Her past medical history was significant for a right breast carcinoma treated with mastectomy and radiation 22 years ago. Subsequently, she developed a second primary carcinoma of the left breast, for which treatment with chemotherapy and radiation was completed 4 months prior to her presentation. Initially, she reported developing eruptive tender papules and pustules affecting her left chest and back after radiotherapy. Physical examination revealed a right mastectomy scar with abundant telangiectasias. Numerous dilated comedones, pustules, and deep nodules were seen limited to the left chest, the area of recent radiation. In addition, dilated comedones were seen on the left back (Figure 1). Histopathologic examination of the affected skin revealed a dilated and ruptured follicular infundibulum with markedly atrophic epithelial lining. There was a dense suppurative inflammatory infiltrate in the follicle with rare Demodex mites. Mild spongiosis was noted in the overlying epidermis, which otherwise was unremarkable (Figure 2). At the time of her visit, the patient was not taking comedogenic drugs, such as corticosteroids, sex hormones, isoniazid, and anticonvulsants. The diagnosis of acneiform rash as a reaction to radiation therapy was made, and the patient was treated with daily application of topical tretinoin 0.025% cream, benzoyl peroxide 5% gel, and oral doxycycline 100 mg twice a day. This resulted in partial response within 8 weeks of therapy that had been sustained through the last recorded visit at 12 weeks.
Discussion
The development of localized comedos or an acneiform rash is a relatively rare reaction to radiation therapy. This observation was first reported in 1947 as a concentric ring of comedones forming at the margin of a superficial radiation field after 3 months of treatment.5 Subsequently, reports have been published in the literature, occurring in the setting of different types of radiotherapy. Comedonal or acneiform eruptions have been described as sequelae of superficial radiation for treatment of cutaneous nonmelanoma skin cancers (NMSCs);[5] and [6] cobalt radiation utilized in breast,7 brain,8 NMSC,9 lymphoma,10 and lung[10] and [11] cancer patients; and following megavoltage radiotherapy.12 A spectrum of lesion morphologies can be seen, with some patients presenting with only open8 or closed[9] and [13] comedones, occasional scattered inflammatory papules,14 or a florid eruption with erythematous papules, pustules, and comedones,[7] and [15] as was seen in our patient. Acneiform rash has been reported to occur following the resolution of acute radiation dermatitis,[7], [16] and [17] in those without a preceding acute skin reaction,[9] and [11] or superimposed on changes of chronic radiation dermatitis, characterized by pigmentary abnormalities and fibrosis.[8] and [11] Interestingly, in addition to skin directly affected by the incident radiation, the eruption can involve skin regions where a fraction of penetrating radiation exits directly opposite of the irradiated site, such as the back of a breast cancer patient.11
Martin and Bardsley17 reviewed 27 cases of radiation-induced acne in an attempt to better characterize the rash and its clinical presentation. This analysis demonstrated a variable latent period, ranging from 2 weeks to 6 months following radiation treatment. While involved body sites included any irradiated skin area, from the scalp to the pelvis, the majority of cases manifested on the scalp, face, or neck (16 out of 27). Notably, the upper trunk was another common site of involvement (10 cases). There was also a suggestion that the reaction was more common in patients who had recently been treated with agents known to induce acne, such as corticosteroids, sex hormones, isoniazid, and anticonvulsants. In contrast, previous personal history of acne did not appear as a significant predisposing factor.17
The pathophysiology of radiation-induced acne is currently unknown. However, the underlying mechanisms responsible for the development of acne vulgaris can offer insights into our understanding of radiation-induced changes. The pilosebaceous unit is the site of acne formation in normal skin. Formation of a microcomedone, a critical initial step in the development of acne, and its progression to noninflammatory lesions such as open comedone (black head), closed comedone (white head), and inflammation, characterized by erythematous papules, pustules, and nodules, is a complex multifactorial process. The principal event currently thought to drive comedogenesis is hyperproliferation of keratinocytes in the pilosebaceous ducts, leading to accumulation of corneocytes (anucleate cells filled with keratin) and sebum with subsequent occlusion of the follicular infundibulum.18 The triggers that initiate this process, however, are not completely understood. Several pathogenic factors have been implicated as potential etiologies. Testosterone and its more active form 5α-dihydrotestosterone stimulate excessive sebum production and may contribute to ductal hyperproliferation.[19] and [20] Aberrations in sebaceous lipids such as an increase in fatty acids, which possess proinflammatory and comedogenic properties, and low levels of linoleic acid may be important factors in inducing ductal hyperproliferation and comedogenesis.21 Interleukin (IL)-1α has been shown to induce comedogenesis in in vitro models[22] and [23] and is found at high concentration in open comedones, potentially playing a role in the progression of comedones to inflammatory lesions.24 Secondary colonization and overgrowth of Propionibacterium acnes can result in increased production of IL-8 and tumor necrosis factor (TNF)-α,25 lead to recruitment of neutrophils and lymphocytes,26 and induce a hypersensitivity reaction,27 events that may contribute to the development of inflammatory lesions.
It is unclear how radiation can rarely induce comedogenesis. However, it is possible that a florid inflammatory response induced by an acute radiation injury and characterized by increased expression of leukocyte adhesion molecules and inflammatory cytokines such as IL-1, IL-6, and TNF-α28 may play a role. Alternatively, radiation-induced changes in the lipid composition of sebum may lead to keratinocyte hyperproliferation in the sebaceous ducts.17 Other authors have implicated chronic follicular inflammation and increased follicular hyperkeratosis as potential culprits.11 Chronic sequelae of radiation injury in skin develop months to years following the period of acute exposure and are characterized by the absence of hair follicles and sebaceous glands and the presence of fibrosis, thought to be mediated by transforming growth factor (TGF)-β.29 Accordingly, it had been postulated that remnants of pilosebaceous units in the skin may serve as foreign bodies that are able to induce an inflammatory reaction that clinically manifests with acne lesions.30
Timely and accurate recognition of this rare adverse event may facilitate implementation of appropriate treatment strategies. Although no evidence-based data support the use of typical anti-acne treatments in this patient population due to its low incidence, similar strategies have been employed to manage radiation-associated acneiform rash. Typical agents for acne vulgaris such as topical retinoic acid, benzoyl peroxide, antiseptic cleansing solutions, and oral antibiotics have been used, usually with good response and subsequent resolution.[7], [8], [9], [13], [14], [15] and [30] In addition, manual extraction of comedones with a comedo extractor has been successfully utilized.17 The use of lower concentrations of benzoyl peroxide (2.5% and 5%) is preferred to 10% formulations, considering their similar clinical efficacy in acne vulgaris but diminished frequency and severity of peeling, erythema, and burning.31 Combining benzoyl peroxide with topical antimicrobial agents such as clindamycin or with topical retinoids improves the clinical response. Of note, generic tretinoin undergoes oxidative degradation and should be applied separately from benzoyl peroxide.32 Topical retinoids possess a microcomedolytic activity and are also effective against noninflammatory and inflammatory lesions. Their combination with either topical or systemic antibiotics enhances therapeutic efficacy and can be used to manage more severe manifestations.33 Retinoids can induce skin erythema and burning, which can be mitigated by consistent use of a moisturizing cream.33 The benefit of systemic semisynthetic tetracycline antibiotics is derived from their antimicrobial and anti-inflammatory properties. Even though doxycycline is phototoxic, its use is preferred to minocycline, which is not more effective and may be associated with higher rates of toxicity, including more severe adverse events such as drug-induced systemic lupus erythematosus and autoimmune hepatitis.34 The clinical response in patients with radiation-induced acne is not immediate and, similar to acne vulgaris, may require several months of treatment. Compliance with therapy is important, and patients may be counseled that prolonged therapy may be required but subsequent resolution can be typically achieved.
Conclusion
In conclusion, acneiform rash is a relatively rare adverse event of radiotherapy that tends to affect areas with a high density of sebaceous glands, such as the face, scalp, and upper trunk, and can be usually successfully managed with typical anti-acne agents.
References1
1 J.L. Harper, L.E. Franklin, J.M. Jenrette and E.G. Aguero, Skin toxicity during breast irradiation: pathophysiology and management, South Med J 97 (10) (2004), pp. 989–993. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (35)
2 A. Trotti, L.A. Bellm, J.B. Epstein, D. Frame, H.J. Fuchs and C.K. Gwede et al., Mucositis incidence, severity and associated outcomes in patients with head and neck cancer receiving radiotherapy with or without chemotherapy: a systematic literature review, Radiother Oncol 66 (3) (2003), pp. 253–262. Article |
3 E.A. Elliott, J.R. Wright, R.S. Swann, F. Nguyen-Tan, C. Takita and M.K. Bucci et al., Phase III trial of an emulsion containing trolamine for the prevention of radiation dermatitis in patients with advanced squamous cell carcinoma of the head and neck: results of Radiation Therapy Oncology Group Trial 99-13, J Clin Oncol 24 (13) (2006), pp. 2092–2097. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (13)
4 S.R. Hymes, E.A. Strom and C. Fife, Radiation dermatitis: clinical presentation, pathophysiology, and treatment 2006, J Am Acad Dermatol 54 (1) (2006), pp. 28–46. Article |
5 S.M. Bluefarb, Comedos following roentgen ray therapy, Arch Dermatol Syph 56 (1947), pp. 537–539.
6 F. Ronchese, Cicatricial comedos and milia, Arch Dermatol Syph 61 (1950), pp. 498–500. View Record in Scopus | Cited By in Scopus (8)
7 B. Adriaans and A. du Vivier, Acne in an irradiated area, Arch Dermatol 125 (7) (1989), p. 1005. View Record in Scopus | Cited By in Scopus (3)
8 J.F. Walter, Cobalt radiation–induced comedones, Arch Dermatol 116 (9) (1980), pp. 1073–1074. View Record in Scopus | Cited By in Scopus (5)
9 F.S. Larsen, G. Heydenreich and J.V. Christiansen, Comedo formation following cobalt irradiation, Dermatologica 158 (4) (1979), pp. 287–292.
10 E.P. Engels, U. Leavell and Y. Maruyama, Radiogenic acne and comedones, Radiol Clin Biol 43 (1) (1974), pp. 48–55. View Record in Scopus | Cited By in Scopus (6)
11 K.M. Stein, J.J. Leyden and H. Goldschmidt, Localized acneiform eruption following cobalt irradiation, Br J Dermatol 87 (3) (1972), pp. 274–279. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (9)
12 N.C. Hepburn, R.P. Crellin, G.W. Beveridge, A. Rodger and M.J. Tidman, Localized acne as a complication of megavoltage radiotherapy, J Dermatol Treat 3 (1992), pp. 137–138. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (7)
13 P.L. Myskowski and B. Safai, Localized comedo formation after cobalt irradiation, Int J Dermatol 20 (8) (1981), pp. 550–551. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (4)
14 A.J. Aversa and R. Nagy, Localized comedones following radiation therapy, Cutis 31 (3) (1983), pp. 296–303.
15 J. Song, S.J. Ha, C.W. Kim and H.O. Kim, A case of localized acne following radiation therapy, Acta Derm Venereol 82 (1) (2002), pp. 69–70. Full Text via CrossRef
16 S. Swift, Localized acne following deep X-ray therapy, AMA Arch Dermatol 74 (1) (1956), pp. 97–98.
17 W.M. Martin and A.F. Bardsley, The comedo skin reaction to radiotherapy, Br J Radiol 75 (893) (2002), pp. 478–481. View Record in Scopus | Cited By in Scopus (7)
18 W.J. Cunliffe, D.B. Holland, S.M. Clark and G.I. Stables, Comedogenesis: some new aetiological, clinical and therapeutic strategies, Br J Dermatol 142 (6) (2000), pp. 1084–1091. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (76)
19 D. Thiboutot, H. Knaggs, K. Gilliland and G. Lin, Activity of 5-alpha-reductase and 17-beta-hydroxysteroid dehydrogenase in the infrainfundibulum of subjects with and without acne vulgaris, Dermatology 196 (1) (1998), pp. 38–42. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (38)
20 C.C. Zouboulis, L. Xia and H. Akamatsu et al., The human sebocyte culture model provides new insights into development and management of seborrhoea and acne, Dermatology 196 (1) (1998), pp. 21–31. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (96)
21 H. Gollnick, Current concepts of the pathogenesis of acne: implications for drug treatment, Drugs 63 (15) (2003), pp. 1579–1596. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (83)
22 R. Guy, M.R. Green and T. Kealey, Modeling acne in vitro, J Invest Dermatol 106 (1) (1996), pp. 176–182. View Record in Scopus | Cited By in Scopus (82)
23 R. Guy and T. Kealey, The effects of inflammatory cytokines on the isolated human sebaceous infundibulum, J Invest Dermatol 110 (4) (1998), pp. 410–415. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (27)
24 E. Ingham, E.A. Eady, C.E. Goodwin, J.H. Cove and W.J. Cunliffe, Pro-inflammatory levels of interleukin-1 alpha-like bioactivity are present in the majority of open comedones in acne vulgaris, J Invest Dermatol 98 (6) (1992), pp. 895–901. View Record in Scopus | Cited By in Scopus (63)
25 G.F. Webster and J.J. Leyden, Characterization of serum-independent polymorphonuclear leukocyte chemotactic factors produced by Propionibacterium acnes, Inflammation 4 (3) (1980), pp. 261–269. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (34)
26 D.G. Scott, W.J. Cunliffe and G. Gowland, Activation of complement—a mechanism for the inflammation in acne, Br J Dermatol 101 (3) (1979), pp. 315–320. View Record in Scopus | Cited By in Scopus (11)
27 H.R. Ashbee, S.R. Muir, W.J. Cunliffe and E. Ingham, IgG subclasses specific to Staphylococcus epidermidis and Propionibacterium acnes in patients with acne vulgaris, Br J Dermatol 136 (5) (1997), pp. 730–733. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (31)
28 J.W. Denham and M. Hauer-Jensen, The radiotherapeutic injury—a complex ”wound.”, Radiother Oncol 63 (2) (2002), pp. 129–145. Article |
29 M.E. Lacouture, C. Hwang, M.H. Marymont and J. Patel, Temporal dependence of the effect of radiation on erlotinib-induced skin rash, J Clin Oncol 25 (15) (2007), p. 2140 author reply 2141. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (15)
30 T.N. Trunnell, R.L. Baer and P. Michaelides, Acneform changes in areas of cobalt irradiation, Arch Dermatol 106 (1) (1972), pp. 73–75. View Record in Scopus | Cited By in Scopus (8)
31 O.H. Mills Jr, A.M. Kligman, P. Pochi and H. Comite, Comparing 2.5%, 5%, and 10% benzoyl peroxide on inflammatory acne vulgaris, Int J Dermatol 25 (10) (1986), pp. 664–667. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (39)
32 M. Sagransky, B.A. Yentzer and S.R. Feldman, Benzoyl peroxide: a review of its current use in the treatment of acne vulgaris, Expert Opin Pharmacother 10 (15) (2009), pp. 2555–2562. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (7)
33 A. Thielitz, M.B. Abdel-Naser, J.W. Fluhr, C.C. Zouboulis and H. Gollnick, Topical retinoids in acne—an evidence-based overview, J Dtsch Dermatol Ges 6 (12) (2008), pp. 1023–1031. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (9)
34 F. Ochsendorf, Minocycline in acne vulgaris: benefits and risks, Am J Clin Dermatol 11 (5) (2010), pp. 327–341. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (2)
Yevgeniy Balagulaa, Jennifer R. Hensleyb, Pedram Geramic and Mario E. Lacouturea
Available online 25 January 2011.
Acute dermatologic toxicities such as radiation dermatitis and oropharyngeal mucositis may affect up to 90% of treated breast and head-and-neck cancer patients.[1] and [2] These adverse events can be accompanied by a significant amount of pain, negatively impact patients' quality of life, and result in interruption of therapy.3 The cutaneous changes of acute radiation dermatitis, characterized by erythema and dry desquamation that can potentially progress to edema and moist desquamation, ulceration, and necrosis, are typically seen within 90 days of radiotherapy exposure.4 In addition to acute toxicity, late sequelae of radiation injury include telangiectasias, fat necrosis, skin fibrosis, pigmentary changes, and atrophy. These changes may manifest months to years after radiotherapy, even in the absence of the initial significant acute reaction.4 Radiation-induced acneiform rash, also referred to as a “comedo reaction,” is a rare dermatologic reaction that has been documented in a variety of cancers and with different types of radiotherapy. Although this particular toxicity is observed much less commonly, familiarity with this entity is important in order to ensure timely recognition and institution of the appropriate treatment. In this case report we describe a breast cancer patient who developed acneiform rash to radiation and review its clinical characteristics, risk factors, potential underlying mechanisms, and management strategies.
Case Report
A 56-year-old female was referred to dermatology for evaluation of a pruritic rash on her left chest and back of 4 months' duration. Her past medical history was significant for a right breast carcinoma treated with mastectomy and radiation 22 years ago. Subsequently, she developed a second primary carcinoma of the left breast, for which treatment with chemotherapy and radiation was completed 4 months prior to her presentation. Initially, she reported developing eruptive tender papules and pustules affecting her left chest and back after radiotherapy. Physical examination revealed a right mastectomy scar with abundant telangiectasias. Numerous dilated comedones, pustules, and deep nodules were seen limited to the left chest, the area of recent radiation. In addition, dilated comedones were seen on the left back (Figure 1). Histopathologic examination of the affected skin revealed a dilated and ruptured follicular infundibulum with markedly atrophic epithelial lining. There was a dense suppurative inflammatory infiltrate in the follicle with rare Demodex mites. Mild spongiosis was noted in the overlying epidermis, which otherwise was unremarkable (Figure 2). At the time of her visit, the patient was not taking comedogenic drugs, such as corticosteroids, sex hormones, isoniazid, and anticonvulsants. The diagnosis of acneiform rash as a reaction to radiation therapy was made, and the patient was treated with daily application of topical tretinoin 0.025% cream, benzoyl peroxide 5% gel, and oral doxycycline 100 mg twice a day. This resulted in partial response within 8 weeks of therapy that had been sustained through the last recorded visit at 12 weeks.
Discussion
The development of localized comedos or an acneiform rash is a relatively rare reaction to radiation therapy. This observation was first reported in 1947 as a concentric ring of comedones forming at the margin of a superficial radiation field after 3 months of treatment.5 Subsequently, reports have been published in the literature, occurring in the setting of different types of radiotherapy. Comedonal or acneiform eruptions have been described as sequelae of superficial radiation for treatment of cutaneous nonmelanoma skin cancers (NMSCs);[5] and [6] cobalt radiation utilized in breast,7 brain,8 NMSC,9 lymphoma,10 and lung[10] and [11] cancer patients; and following megavoltage radiotherapy.12 A spectrum of lesion morphologies can be seen, with some patients presenting with only open8 or closed[9] and [13] comedones, occasional scattered inflammatory papules,14 or a florid eruption with erythematous papules, pustules, and comedones,[7] and [15] as was seen in our patient. Acneiform rash has been reported to occur following the resolution of acute radiation dermatitis,[7], [16] and [17] in those without a preceding acute skin reaction,[9] and [11] or superimposed on changes of chronic radiation dermatitis, characterized by pigmentary abnormalities and fibrosis.[8] and [11] Interestingly, in addition to skin directly affected by the incident radiation, the eruption can involve skin regions where a fraction of penetrating radiation exits directly opposite of the irradiated site, such as the back of a breast cancer patient.11
Martin and Bardsley17 reviewed 27 cases of radiation-induced acne in an attempt to better characterize the rash and its clinical presentation. This analysis demonstrated a variable latent period, ranging from 2 weeks to 6 months following radiation treatment. While involved body sites included any irradiated skin area, from the scalp to the pelvis, the majority of cases manifested on the scalp, face, or neck (16 out of 27). Notably, the upper trunk was another common site of involvement (10 cases). There was also a suggestion that the reaction was more common in patients who had recently been treated with agents known to induce acne, such as corticosteroids, sex hormones, isoniazid, and anticonvulsants. In contrast, previous personal history of acne did not appear as a significant predisposing factor.17
The pathophysiology of radiation-induced acne is currently unknown. However, the underlying mechanisms responsible for the development of acne vulgaris can offer insights into our understanding of radiation-induced changes. The pilosebaceous unit is the site of acne formation in normal skin. Formation of a microcomedone, a critical initial step in the development of acne, and its progression to noninflammatory lesions such as open comedone (black head), closed comedone (white head), and inflammation, characterized by erythematous papules, pustules, and nodules, is a complex multifactorial process. The principal event currently thought to drive comedogenesis is hyperproliferation of keratinocytes in the pilosebaceous ducts, leading to accumulation of corneocytes (anucleate cells filled with keratin) and sebum with subsequent occlusion of the follicular infundibulum.18 The triggers that initiate this process, however, are not completely understood. Several pathogenic factors have been implicated as potential etiologies. Testosterone and its more active form 5α-dihydrotestosterone stimulate excessive sebum production and may contribute to ductal hyperproliferation.[19] and [20] Aberrations in sebaceous lipids such as an increase in fatty acids, which possess proinflammatory and comedogenic properties, and low levels of linoleic acid may be important factors in inducing ductal hyperproliferation and comedogenesis.21 Interleukin (IL)-1α has been shown to induce comedogenesis in in vitro models[22] and [23] and is found at high concentration in open comedones, potentially playing a role in the progression of comedones to inflammatory lesions.24 Secondary colonization and overgrowth of Propionibacterium acnes can result in increased production of IL-8 and tumor necrosis factor (TNF)-α,25 lead to recruitment of neutrophils and lymphocytes,26 and induce a hypersensitivity reaction,27 events that may contribute to the development of inflammatory lesions.
It is unclear how radiation can rarely induce comedogenesis. However, it is possible that a florid inflammatory response induced by an acute radiation injury and characterized by increased expression of leukocyte adhesion molecules and inflammatory cytokines such as IL-1, IL-6, and TNF-α28 may play a role. Alternatively, radiation-induced changes in the lipid composition of sebum may lead to keratinocyte hyperproliferation in the sebaceous ducts.17 Other authors have implicated chronic follicular inflammation and increased follicular hyperkeratosis as potential culprits.11 Chronic sequelae of radiation injury in skin develop months to years following the period of acute exposure and are characterized by the absence of hair follicles and sebaceous glands and the presence of fibrosis, thought to be mediated by transforming growth factor (TGF)-β.29 Accordingly, it had been postulated that remnants of pilosebaceous units in the skin may serve as foreign bodies that are able to induce an inflammatory reaction that clinically manifests with acne lesions.30
Timely and accurate recognition of this rare adverse event may facilitate implementation of appropriate treatment strategies. Although no evidence-based data support the use of typical anti-acne treatments in this patient population due to its low incidence, similar strategies have been employed to manage radiation-associated acneiform rash. Typical agents for acne vulgaris such as topical retinoic acid, benzoyl peroxide, antiseptic cleansing solutions, and oral antibiotics have been used, usually with good response and subsequent resolution.[7], [8], [9], [13], [14], [15] and [30] In addition, manual extraction of comedones with a comedo extractor has been successfully utilized.17 The use of lower concentrations of benzoyl peroxide (2.5% and 5%) is preferred to 10% formulations, considering their similar clinical efficacy in acne vulgaris but diminished frequency and severity of peeling, erythema, and burning.31 Combining benzoyl peroxide with topical antimicrobial agents such as clindamycin or with topical retinoids improves the clinical response. Of note, generic tretinoin undergoes oxidative degradation and should be applied separately from benzoyl peroxide.32 Topical retinoids possess a microcomedolytic activity and are also effective against noninflammatory and inflammatory lesions. Their combination with either topical or systemic antibiotics enhances therapeutic efficacy and can be used to manage more severe manifestations.33 Retinoids can induce skin erythema and burning, which can be mitigated by consistent use of a moisturizing cream.33 The benefit of systemic semisynthetic tetracycline antibiotics is derived from their antimicrobial and anti-inflammatory properties. Even though doxycycline is phototoxic, its use is preferred to minocycline, which is not more effective and may be associated with higher rates of toxicity, including more severe adverse events such as drug-induced systemic lupus erythematosus and autoimmune hepatitis.34 The clinical response in patients with radiation-induced acne is not immediate and, similar to acne vulgaris, may require several months of treatment. Compliance with therapy is important, and patients may be counseled that prolonged therapy may be required but subsequent resolution can be typically achieved.
Conclusion
In conclusion, acneiform rash is a relatively rare adverse event of radiotherapy that tends to affect areas with a high density of sebaceous glands, such as the face, scalp, and upper trunk, and can be usually successfully managed with typical anti-acne agents.
References1
1 J.L. Harper, L.E. Franklin, J.M. Jenrette and E.G. Aguero, Skin toxicity during breast irradiation: pathophysiology and management, South Med J 97 (10) (2004), pp. 989–993. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (35)
2 A. Trotti, L.A. Bellm, J.B. Epstein, D. Frame, H.J. Fuchs and C.K. Gwede et al., Mucositis incidence, severity and associated outcomes in patients with head and neck cancer receiving radiotherapy with or without chemotherapy: a systematic literature review, Radiother Oncol 66 (3) (2003), pp. 253–262. Article |
3 E.A. Elliott, J.R. Wright, R.S. Swann, F. Nguyen-Tan, C. Takita and M.K. Bucci et al., Phase III trial of an emulsion containing trolamine for the prevention of radiation dermatitis in patients with advanced squamous cell carcinoma of the head and neck: results of Radiation Therapy Oncology Group Trial 99-13, J Clin Oncol 24 (13) (2006), pp. 2092–2097. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (13)
4 S.R. Hymes, E.A. Strom and C. Fife, Radiation dermatitis: clinical presentation, pathophysiology, and treatment 2006, J Am Acad Dermatol 54 (1) (2006), pp. 28–46. Article |
5 S.M. Bluefarb, Comedos following roentgen ray therapy, Arch Dermatol Syph 56 (1947), pp. 537–539.
6 F. Ronchese, Cicatricial comedos and milia, Arch Dermatol Syph 61 (1950), pp. 498–500. View Record in Scopus | Cited By in Scopus (8)
7 B. Adriaans and A. du Vivier, Acne in an irradiated area, Arch Dermatol 125 (7) (1989), p. 1005. View Record in Scopus | Cited By in Scopus (3)
8 J.F. Walter, Cobalt radiation–induced comedones, Arch Dermatol 116 (9) (1980), pp. 1073–1074. View Record in Scopus | Cited By in Scopus (5)
9 F.S. Larsen, G. Heydenreich and J.V. Christiansen, Comedo formation following cobalt irradiation, Dermatologica 158 (4) (1979), pp. 287–292.
10 E.P. Engels, U. Leavell and Y. Maruyama, Radiogenic acne and comedones, Radiol Clin Biol 43 (1) (1974), pp. 48–55. View Record in Scopus | Cited By in Scopus (6)
11 K.M. Stein, J.J. Leyden and H. Goldschmidt, Localized acneiform eruption following cobalt irradiation, Br J Dermatol 87 (3) (1972), pp. 274–279. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (9)
12 N.C. Hepburn, R.P. Crellin, G.W. Beveridge, A. Rodger and M.J. Tidman, Localized acne as a complication of megavoltage radiotherapy, J Dermatol Treat 3 (1992), pp. 137–138. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (7)
13 P.L. Myskowski and B. Safai, Localized comedo formation after cobalt irradiation, Int J Dermatol 20 (8) (1981), pp. 550–551. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (4)
14 A.J. Aversa and R. Nagy, Localized comedones following radiation therapy, Cutis 31 (3) (1983), pp. 296–303.
15 J. Song, S.J. Ha, C.W. Kim and H.O. Kim, A case of localized acne following radiation therapy, Acta Derm Venereol 82 (1) (2002), pp. 69–70. Full Text via CrossRef
16 S. Swift, Localized acne following deep X-ray therapy, AMA Arch Dermatol 74 (1) (1956), pp. 97–98.
17 W.M. Martin and A.F. Bardsley, The comedo skin reaction to radiotherapy, Br J Radiol 75 (893) (2002), pp. 478–481. View Record in Scopus | Cited By in Scopus (7)
18 W.J. Cunliffe, D.B. Holland, S.M. Clark and G.I. Stables, Comedogenesis: some new aetiological, clinical and therapeutic strategies, Br J Dermatol 142 (6) (2000), pp. 1084–1091. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (76)
19 D. Thiboutot, H. Knaggs, K. Gilliland and G. Lin, Activity of 5-alpha-reductase and 17-beta-hydroxysteroid dehydrogenase in the infrainfundibulum of subjects with and without acne vulgaris, Dermatology 196 (1) (1998), pp. 38–42. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (38)
20 C.C. Zouboulis, L. Xia and H. Akamatsu et al., The human sebocyte culture model provides new insights into development and management of seborrhoea and acne, Dermatology 196 (1) (1998), pp. 21–31. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (96)
21 H. Gollnick, Current concepts of the pathogenesis of acne: implications for drug treatment, Drugs 63 (15) (2003), pp. 1579–1596. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (83)
22 R. Guy, M.R. Green and T. Kealey, Modeling acne in vitro, J Invest Dermatol 106 (1) (1996), pp. 176–182. View Record in Scopus | Cited By in Scopus (82)
23 R. Guy and T. Kealey, The effects of inflammatory cytokines on the isolated human sebaceous infundibulum, J Invest Dermatol 110 (4) (1998), pp. 410–415. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (27)
24 E. Ingham, E.A. Eady, C.E. Goodwin, J.H. Cove and W.J. Cunliffe, Pro-inflammatory levels of interleukin-1 alpha-like bioactivity are present in the majority of open comedones in acne vulgaris, J Invest Dermatol 98 (6) (1992), pp. 895–901. View Record in Scopus | Cited By in Scopus (63)
25 G.F. Webster and J.J. Leyden, Characterization of serum-independent polymorphonuclear leukocyte chemotactic factors produced by Propionibacterium acnes, Inflammation 4 (3) (1980), pp. 261–269. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (34)
26 D.G. Scott, W.J. Cunliffe and G. Gowland, Activation of complement—a mechanism for the inflammation in acne, Br J Dermatol 101 (3) (1979), pp. 315–320. View Record in Scopus | Cited By in Scopus (11)
27 H.R. Ashbee, S.R. Muir, W.J. Cunliffe and E. Ingham, IgG subclasses specific to Staphylococcus epidermidis and Propionibacterium acnes in patients with acne vulgaris, Br J Dermatol 136 (5) (1997), pp. 730–733. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (31)
28 J.W. Denham and M. Hauer-Jensen, The radiotherapeutic injury—a complex ”wound.”, Radiother Oncol 63 (2) (2002), pp. 129–145. Article |
29 M.E. Lacouture, C. Hwang, M.H. Marymont and J. Patel, Temporal dependence of the effect of radiation on erlotinib-induced skin rash, J Clin Oncol 25 (15) (2007), p. 2140 author reply 2141. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (15)
30 T.N. Trunnell, R.L. Baer and P. Michaelides, Acneform changes in areas of cobalt irradiation, Arch Dermatol 106 (1) (1972), pp. 73–75. View Record in Scopus | Cited By in Scopus (8)
31 O.H. Mills Jr, A.M. Kligman, P. Pochi and H. Comite, Comparing 2.5%, 5%, and 10% benzoyl peroxide on inflammatory acne vulgaris, Int J Dermatol 25 (10) (1986), pp. 664–667. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (39)
32 M. Sagransky, B.A. Yentzer and S.R. Feldman, Benzoyl peroxide: a review of its current use in the treatment of acne vulgaris, Expert Opin Pharmacother 10 (15) (2009), pp. 2555–2562. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (7)
33 A. Thielitz, M.B. Abdel-Naser, J.W. Fluhr, C.C. Zouboulis and H. Gollnick, Topical retinoids in acne—an evidence-based overview, J Dtsch Dermatol Ges 6 (12) (2008), pp. 1023–1031. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (9)
34 F. Ochsendorf, Minocycline in acne vulgaris: benefits and risks, Am J Clin Dermatol 11 (5) (2010), pp. 327–341. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (2)
Cost–Utility Analysis of Palonosetron-Based Therapy in Preventing Emesis Among Breast Cancer Patients
Original research
Elenir B.C. Avritscher MD, PhD, MBA/MHA
Abstract
We estimated the cost-utility of palonosetron-based therapy compared with generic ondansetron-based therapy throughout four cycles of anthracycline and cyclophosphamide for treating women with breast cancer. We developed a Markov model comparing six strategies in which ondansetron and palonosetron are combined with either dexamethasone alone, dexamethasone plus aprepitant following emesis, or dexamethasone plus aprepitant up front. Data on the effectiveness of antiemetics and emesis-related utility were obtained from published sources. Relative to the ondansetron-based two-drug therapy, the incremental cost–effectiveness ratios for the palonosetron-based regimens were $115,490/quality-adjusted life years (QALY) for the two-drug strategy, $199,375/QALY for the two-drug regimen plus aprepitant after emesis, and $200,526/QALY for the three-drug strategy. In sensitivity analysis, using the $100,000/QALY benchmark, the palonosetron-based two-drug strategy and the two-drug regimen plus aprepitant following emesis were shown to be cost-effective in 39% and 26% of the Monte Carlo simulations, respectively, and with changes in values for the effectiveness of antiemetics and the rate of hospitalization. The cost-utility of palonosetron-based therapy exceeds the $100,000/QALY threshold. Future research incorporating the price structure of all antiemetics following ondansetron's recent patent expiration is needed.
Article Outline
Recent advances in emesis control have been possible due to the availability of increasingly more effective antiemetic agents. During the 1990s, the development of first-generation 5-hydroxytryptamine-3 (5-HT3) antagonists (ondansetron, granisetron, tropisetron, and dolasetron) marked a significant improvement in the control of emesis induced by chemotherapy, particularly acute emesis (ie, occurring within 24 hours following chemotherapy).
More recently, two new drugs—palonosetron, a second-generation 5-HT3 antagonist, and aprepitant, a centrally acting neurokinin-1 antagonist—were added to the armamentarium of antiemetic therapy. Compared with other single-dose 5-HT3 antagonists, palonosetron has a higher 5-HT3 binding affinity and longer plasma half-life and has shown superiority in the prevention of delayed emesis (ie, occurring more than 24 hours after chemotherapy administration) following moderately emetogenic chemotherapy with methotrexate, epirubicin, or cisplatin (MEC), including AC-based regimens.[4] and [5] In a recently published clinical trial conducted by Saito et al,6 palonosetron was also shown to be superior to granisetron in preventing delayed and overall emesis when both drugs were combined with dexamethasone following chemotherapy with either AC or cisplatin. As for aprepitant, when added to the standard of a 5-HT3 antagonist and dexamethasone therapy, it has been shown to improve emesis prevention among patients receiving AC-based chemotherapy during the acute, delayed, and overall periods.7
Such benefits have led to a recent revision in the antiemetics guidelines of both the American Society of Clinical Oncology (ASCO) and the National Comprehensive Cancer Network (NCCN), incorporating both palonosetron as one of the recommended 5-HT3 antagonists and aprepitant in combination with a 5-HT3 antagonist and dexamethasone for patients receiving AC-based chemotherapy.[8] and [9] Of note is that the revised 2010 NCCN antiemetic guidelines suggest that palonosetron may be used prior to the start of multiday chemotherapy, which is more likely to cause significant delayed emesis, instead of repeated daily doses of other first-generation 5-HT3 antagonists.9
Given the multiplicity of antiemetic strategies available for prophylaxis of nausea and vomiting associated with AC-based chemotherapy with inherent variability in effectiveness and price, it is critical for existing therapies to be analyzed in terms of both their outcomes and costs. Thus, the purpose of this study is to determine, from a third-party payer perspective, the cost-utility of palonosetron-based therapy in preventing emesis among breast cancer patients receiving four cycles of AC-based chemotherapy relative to generic ondansetron-based antiemetic therapy. Due to variations in the definition of complete emetic response found across antiemetic studies, the analysis will focus on chemotherapy-induced emesis only, rather than nausea and vomiting, as vomiting can be more objectively measured than nausea and, as such, has been more consistently reported.
Patients and Methods
We developed a Markov model to estimate the costs (in 2008 U.S. dollars) and health outcomes associated with emesis among breast cancer patients receiving multiple cycles of AC-based chemotherapy under six prophylactic strategies containing either generic ondansetron (onda) or palonosetron (palo) when each is combined with either dexamethasone (dex) alone, dex plus aprepitant in the subsequent cycles following the occurrence of emesis, or dex plus aprepitant up front (Figure 1). The time horizon for the risk of chemotherapy-induced emesis during each cycle of chemotherapy was 21 days, which is the standard duration of a cycle of AC-based chemotherapy.
Markov Model Comparing Palo-Based Therapy vs Onda-Based Therapy for Prophylaxis of Chemotherapy-Induced Emesis in Breast Cancer Patients Receiving Four Cycles of AC-Based Chemotherapy (1) Onda (32 mg intravenously) + dex (8 mg intravenously) on day 1, followed by dex (4 mg orally twice a day) on days 2−5. (2) Onda (32 mg intravenously) + dex (8 mg intravenously) on day 1, followed by dex (4 mg orally twice a day) on days 2−5 and aprepitant in the subsequent cycles following the occurrence of emesis (ie, onda 16 mg orally + aprepitant 125 mg orally + dex 12 mg orally on day 1 followed by aprepitant 80 mg orally on days 2−3). (3) Palo (0.25 mg intravenously) + dex (8 mg intravenously) on day 1, followed by dex (4 mg orally twice a day) on days 2−5. (4) Palo (0.25 mg intravenously) + dex (8 mg intravenously) on day 1, followed by dex (4 mg orally twice a day) on days 2−5 and aprepitant in the subsequent cycles following the occurrence of emesis (ie, palo 0.25 mg intravenously + aprepitant 125 mg orally + dex 12 mg orally on day 1 followed by aprepitant 80 mg orally on days 2−3). (5) Onda (16 mg orally) + aprepitant (125 mg orally) + dex (12 mg orally) on day 1 followed by aprepitant (80 mg orally) on days 2−3. (6) Palo (0.25 mg intravenously) + aprepitant (125 mg orally) + dex (12 mg orally) on day 1 followed by aprepitant (80 mg orally) on days 2−3. Palo = palonosetron; onda = ondansetron; AC = anthracycline and cyclophosphamide; dex, dexamethasone
We modeled emesis-related outcomes and direct medical costs (from a third-party payer perspective within the context of the U.S. health-care system) over a total of four cycles of chemotherapy as patients receiving AC-based regimens usually undergo at least four cycles of AC.10 We performed all analyses using TreeAge Pro 2009 Suite (Decision Analysis; TreeAge Software, Williamstown, MA). The study was submitted to our institutional review board and was determined to be exempt from review.
Probability Data
Two-drug prophylactic regimens
We estimated the effectiveness of the 5-HT3 antagonists based on secondary analysis of the raw data from the randomized clinical trial (RCT) directly comparing onda and palo when used alone for prevention of emesis associated with MEC, including 90 breast cancer patients from the palo 0.25-mg arm and 82 from the onda 32-mg arm who received AC-based chemotherapy (Table 1).5 Effectiveness estimates for palo 0.25 mg were augmented by data on 117 breast cancer patients on AC-based chemotherapy participating in a multicenter RCT comparing palo with dolasetron (Table 1).4 We assumed that dex adds the same relative benefit to either first- or second-generation 5-HT3 antagonists and obtained the expected additional benefit of dex in preventing acute emesis based on the results of an RCT comparing a single-dose of granisetron in combination with dex vs granisetron given alone to patients undergoing MEC (Table 2).11 Since in the aforementioned study dex was only given on day 1 of chemotherapy, the estimated additional benefit of adding dex to a 5-HT3 inhibitor on the delayed period was obtained from another RCT; this study, conducted by the Italian Group for Antiemetic Research, compared dex alone, dex plus onda, or placebo on days 2−5 of MEC.12
MODEL PARAMETERS | BASE-CASE VALUES (RANGES) | DATA SOURCES |
---|---|---|
Probability of acute emesis control on cycle 1 of AC: | ||
Onda-based two-drug strategyc | 0.84 (0.74−0.93) | Gralla et al,a The Italian Group[5] and [11] |
Palo-based two-drug strategyc | 0.87 (0.81−0.94) | Eisenberg et al,a Gralla et al,a The Italian Group[4], [5] and [11] |
Onda-based three-drug strategyd | 0.88 (0.85−0.91) | Warr et al7 |
Palo-based three-drug strategyd | 0.96 (0.89−0.99) | Grote et al, Grunberg et al[40] and [41] |
Probability of delayed emesis control following control of acute emesis on cycle 1 of ACc: | ||
Onda-based two-drug strategyd | 0.75 (0.62–0.85) | The Italian Group12 |
Palo-based two-drug strategyc | 0.85 (0.78–0.91) | Eisenberg et al,a Gralla et al,a The Italian Group[4], [5] and [12] |
Onda-based three-drug strategyd | 0.86 (0.82–0.90) | Warr et al7 |
Palo-based three-drug strategyc | 0.96 (0.91–0.97) | Eisenberg et al,a Gralla et al,a Warr et al[4], [5] and [7] |
Probability of delayed emesis control following acute emesis on cycle 1 of ACc: | ||
Onda-based two-drug strategyc | 0.46 (0.31–0.62) | Gralla et al,a The Italian Group[5] and [12] |
Palo-based two-drug strategyc | 0.44 (0.27–0.59) | Eisenberg et al,a Gralla et al,a The Italian Group[4], [5] and [12] |
Onda-based three-drug strategyd | 0.44 (0.29–0.57) | Warr et al7 |
Palo-based three-drug strategyc | 0.51 (0.41–0.67) | Eisenberg et al,a Gralla et al,a Warr et al[4], [5] and [7] |
Relative probability of emesis control in subsequent cycles of ACc: | ||
Two-drug therapy | 0.987 (0.970–1.0) | Herrstedt et al14e |
Three-drug therapy | 1.013 (1.0–1.030) | Herrstedt et al14e |
Probability of hospitalization (among patients who develop emesis) per cycle of ACd: | ||
Onda-based regimens | 0.0035 (0.0001−0.019) | Data from Medstat MarketScan16 |
Palo-based regimens | 0.0017 (0.00004−0.0089) | Data from Medstat MarketScan, Haislip et al[16] and [19]b |
Probability of office visit use (among patients who develop emesis) per cycle of ACd: | ||
Onda-based regimens | 0.10 (0.07−0.14) | Data from Medstat MarketScan16 |
Palo-based regimens | 0.05 (0.03−0.07) | Data from Medstat MarketScan, Haislip et al[16] and [19]b |
Probability of rescue medicine utilization use (among patients who develop emesis) per cycle of ACd: | ||
Onda-based regimens | 0.61 (0.46−0.75) | Gralla et al5a |
Palo-based regimens | 0.56 (0.45−0.66) | Eisenberg et al, Gralla et al[4] and [5]a |
Utility weights for emesis per cycle of ACf: | ||
Acute and delayed emesis | 0.15 (0.10−0.20) | Sun et al20 |
Acute emesis and no delayed emesis | 0.76 (0.70−0.83) | Sun et al20 |
No acute emesis and delayed emesis | 0.20 (0.14−0.26) | Sun et al20 |
No acute and no delayed emesis | 0.92 (0.86−0.99) | Sun et al20 |
AC = anthracycline and cyclophosphamide; onda = ondansetron; palo = palonosetron.
a Included in the analysis was the subset of women with breast cancer receiving AC-based chemotherapy.b We obtained an estimate of emesis-related hospitalization and office visit utilization based on data from Medstat MarketScan, HPM subset (Medstat Group, Inc., Ann Arbor, MI) on 707 breast cancer patients who received the first cycle of AC-based chemotherapy from 1996 to 2002 and either were admitted to the hospital or had an office visit for treatment of vomiting or dehydration. Since palo was only introduced into the U.S. market in 2003, we assumed that all these breast cancer patients received onda-based antiemetic prophylaxis. As a result, we estimated the differential rate of health-care resource utilization based on Haislip et al's19 reported differential incidence of extreme events associated with chemotherapy-induced nausea and vomiting experienced by community-based breast cancer patients who received either onda or palo for emesis prophylaxis following the first cycle of chemotherapy.c Of note is that there are two different methods for applying the benefit of adding dex and/or aprepitant to a 5-HT3 antagonist: (1) rate of emesis with 5-HT3* relative risk of emesis by adding dex and/or aprepitant and (2) rate of emesis control with 5-HT3 * relative risk of emesis control by adding dex and/or aprepitant. These produce substantially different results, with the former method skewing the results toward the least effective 5-HT3 and the latter skewing it toward the most effective one. As a result, we estimated the probability of emesis by averaging the results obtained using the two different methods. Of note is that the ranges for these effectiveness estimates were obtained by applying the two different methods to the lower and upper bounds of the 95% confidence intervals derived from the clinical trials comparing the 5-HT3 antagonists when used alone.d Ranges were obtained by constructing 95% confidence intervals for observed proportions using the normal approximation to the binomial distribution.e Ranges are based on the minimum and maximum values observed in Herrstedt et al's14 clinical trial of multicycle chemotherapy.f Ranges are based on the estimate's actual 95% confidence intervals obtained from Sun et al's20 data.
Three-drug prophylactic regimens
We estimated the rate of acute emesis for the three-drug regimens based on data from published studies in which either onda or palo was given in combination with dex and aprepitant on day 1 of MEC (Table 2).[5], [7] and [13] Because aprepitant was either used in combination with dexamethasone or not used on days 2−3 in the trials of palo-based three-drug therapy, we estimated the benefit of adding aprepitant alone to palo on days 2−3 by assuming that the added benefit in the delayed period would be the same as the benefit added to onda. Specifically, we obtained information on the relative risk of delayed emesis control when aprepitant is added on days 2−3 from a large clinical trial of aprepitant combined with onda and dex in breast cancer patients receiving either A or AC chemotherapy (Table 2).7
Effectiveness of antiemetics over multiple cycles of chemotherapy
The estimates of changes in the probability of emesis control over multiple cycles of chemotherapy were obtained from a RCT conducted by Herrstedt et al14 of ondansetron-based two- and three-drug regimens for prevention of chemotherapy-induced nausea and vomiting among breast cancer patients undergoing multiple cycles of AC-based chemotherapy. We assumed that changes in emesis control over four cycles of AC for the palo-based two- and three-drug regimens were similar to the observed changes for the onda-based two- and three-drug strategies, respectively.14
Resource Utilization and Cost Data
The cost of antiemetic prophylaxis was based on the 2008 Medicare Part B reimbursement rates for pharmaceuticals, which reflects the price of ondansetron following its recent patent expiration (Table 3).15 The costs of prophylaxis failures were estimated as follows. In the majority of prophylaxis failures, the only cost is the cost of rescue medication. In such cases, we obtained costs by multiplying the individual doses used for rescue treatment of breast cancer patients on AC participating in the clinical trials comparing palo 0.25 mg with single doses of onda or dolasetron by their unit costs based on the 2008 Medicare Part B reimbursement rates.[5] and [15] For the few patients who are seen in the office for uncontrolled emesis, we obtained estimates of the risk of such emesis-related office visits based on the MarketScan Health Productivity Management (HPM) database from Thomson Reuters on 707 breast cancer patients who received their first cycle of AC-based chemotherapy between 1997 and 2002 (Table 2) and its costs from the 2008 Medicare Physician Fee Schedule Reimbursement for a level III office visit (CPT 99213).[16] and [17]
COST COMPONENT | 2008 U.S.$ (RANGES) | DATA SOURCE |
---|---|---|
Hospitalization | $5,237.00 ($3,921−$6,112)a | HCUP charge data18 Consumer Price Index42 Medicare cost-to-charge ratio43 |
Level III office visit (CPT 99213) | $60.30 ($19.96–$122.46)d | 2008 Medicare Physician Fee Schedule Reimbursement17 |
Prophylactic antiemetics | 2008 Medicare Part B reimbursement rates for pharmaceuticals15 | |
Onda-based two-drug regimen | $49.74 | |
Palo-based two-drug regimen | $207.20 | |
Onda-based three-drug regimen | $324.51 | |
Palo-based three-drug regimen | $482.46 | |
Rescue medicinesb | $35.25 ($21.66–$48.80)c | Eisenberg et al,4 Gralla et al,5 2008 Medicare Part B reimbursement rates for pharmaceuticals15 |
AC = anthracycline and cyclophosphamide; onda = ondansetron; palo = palonosetron; HCUP = Healthcare Cost and Utilization Project
a Charges were inflated to 2008 U.S. dollars using the Consumer Price Index (CPI) for medical care and adjusted to costs using Medicare cost-to-charge ratio. The ranges were based on estimates of the 95% confidence interval.b In the randomized clinical trial directly comparing ondansetron and palonosetron, propulsives accounted for 71% of the rescue medicines used, 5-hydroxytryptamine antagonists for 20%, glucocorticoids for 7%, and aminoalkyl ethers for 2%.5c Costs for rescue medication were obtained by multiplying all drug unit costs by the individual doses used for rescue treatment of breast cancer patients on AC participating in the clinical trials comparing palo 0.25 mg with single doses of onda or dolasetron.[5] and [15] The ranges were based on estimates of the 95% confidence interval.d Ranges were based on the Medicare physician fee schedule for levels I and VI office visits.
Finally, although hospitalization for emesis is extremely rare in this population, when it occurs, it is quite expensive. For completeness, we obtained estimates of the risk of emesis-related hospitalization from the same population of breast cancer patients from whom we obtained the estimate for the risk of emesis-related office visit, whereas hospital costs were obtained from Healthcare Cost and Utilization Project (HCUP) data on 2,342 breast cancer patients who were hospitalized with a primary or admitting diagnosis of vomiting or dehydration from 1997 to 2003 ([Table 2] and [Table 3]).[16] and [18]
Of note is that since palo was only introduced into the U.S. market in 2003, we anticipated the observed risk of emesis-related office visit and hospital admission obtained from MarketScan data during the period 1997−2002 reflected the risk associated with prophylaxis with onda. As a result, given that, when compared with onda, palo has also shown superiority in reducing the severity of emetic episodes when they occur, we estimated the differential rate of health-care resource utilization for palo and onda based on Haislip et al's reported differential incidence of extreme events associated with chemotherapy-induced nausea and vomiting (CINV) experienced by community-based breast cancer patients who received either palo or onda for emesis prophylaxis following the first cycle of chemotherapy (Table 2).[5] and [19]
Utility Data
We obtained the utility weights for acute and delayed emesis from a published study of preferences elicited from ovarian cancer patients undergoing chemotherapy using a modified visual analog scale (VAS) (Table 2).20 We equally applied these emesis-related utility weights to the initial 5-day period of chemotherapy (the standard duration of follow-up in clinical trials of prophylactic antiemetics) in all six prophylactic strategies of the decision tree. Furthermore, because the risk of CINV after 5 days of chemotherapy is usually so negligible as to be unmeasured in clinical trials of antiemetics, we assumed the utility weights for the remaining 16 days of each of the chemotherapy cycles to be the same as the weight associated with complete emesis control (ie, 0.92). We subsequently converted the resulting estimates of quality-adjusted life days into quality-adjusted life years (QALY).
Analysis
We used a stepwise method to calculate the incremental cost–effectiveness ratios of the different prophylactic therapy strategies, with the generic onda-based two-drug therapy (ie, the lowest cost strategy) as the base comparator (also known as the “anchor”).21 We adopted the benchmark range of U.S. $50,000−$100,000 per QALY, which has been commonly cited for oncology-related interventions as the threshold for acceptable cost–effectiveness, and examined the robustness of the results by performing one-way sensitivity analyses of plausible ranges for the model's key parameters based on the data sources used as well as probabilistic sensitivity analysis using Monte Carlo simulation.[21] and [22]
Results
The overall rate of emesis control (on days 1−5) among breast cancer patients following a cycle of AC-based chemotherapy was estimated to be 63% (range 46%−79%) for the onda-based two-drug therapy, 74% (range 66%−85%) for the palo-based two-drug therapy, 76% (range 75%−82%) for the onda-based three-drug therapy, and 92% (range 81%−96%) for the palo-based three-drug therapy. Based on these estimates, relative to the onda-based two-drug therapy, the incremental cost–effectiveness ratios (ICERs) for the palo-based regimens were $115,490/QALY for the two-drug strategy, $199,375/QALY for the two-drug regimen plus aprepitant after emesis, and $200,526/QALY for the three-drug strategy (Table 4). The onda-based two-drug combination plus aprepitant after the onset of emesis was eliminated through extended dominance as it has a greater ICER than the next more effective therapy, the palo-based two-drug treatment strategy (Table 4). The onda-based three-drug strategy was dominated by the palo-based two-drug combination plus aprepitant after the onset of emesis as the former strategy is both less effective and more expensive than the latter (Table 4).
STRATEGY | TOTAL COST (U.S.$) | INCREMENTAL COST (U.S.$) | EFFECTIVENESS (QALY) | INCREMENTAL EFFECTIVENESS (QALY) | INCREMENTAL COST–EFFECTIVENESS (U.S.$/QALY) |
---|---|---|---|---|---|
Onda-based two-drug therapy | $269 | — | 0.1989 | — | — |
Onda-based two-drug therapy with aprepitant after emesis | $635 | $366 | 0.2010 | 0.0021 | $174, 286 Eliminated through extended dominancea |
Palo-based two-drug therapy | $858 | $589 | 0.2040 | 0.0051 | $115,490c |
Palo-based two-drug therapy plus aprepitant after emesis | $1,177 | $319 | 0.2056 | 0.0016 | 199,375 |
Onda-based three-drug therapy | $1,336 | $159 | 0.205 | (0.0006) | Dominatedb |
Palo-based three-drug therapy | $1,939 | $603 | 0.2094 | 0.0044 | $200,526d |
QALY = quality-adjusted life year; AC = anthracycline and cyclophosphamide; ICER = incremental cost–effectiveness ratio; onda = ondansetron; palo = palonosetron
a Extended dominance occurs when one of the treatment alternatives has a greater ICER than the next more effective alternative.b One intervention is said to be dominated by another when it is both less effective and more expensive than the previous less costly alternative.c Because the onda-based two-drug combination plus aprepitant after the onset of emesis was eliminated through extended dominance, the palo-based two-drug therapy was compared with the onda-based two-drug therapy.d Because the onda-based three-drug combination was dominated by the palo-based two-drug combination plus aprepitant after the onset of emesis, the palo-based three-drug therapy was compared with the latter regimen.
In sensitivity analyses using the commonly accepted cost–effectiveness benchmark range of $50,000−$100,000/QALY, the results were sensitive to changes in the overall emesis control rates for the onda-based two-drug strategy. If the probability of overall emesis control for the onda-based two-drug strategy was as low as its estimated lower bound (46%), the ICER for the palo-based two-drug treatment alternative would drop to $53,892/QALY. The results were also sensitive to changes in the effectiveness for the palo-based two-drug regimen: When its overall control rate was as high as its estimated upper bound (86%), its ICER would be $71,472. In contrast, the results were not sensitive to variations in the probability of overall emesis control for the three-drug strategies, nor were they sensitive to changes in the relative probability of emesis control in subsequent cycles of AC for either the two- or three-drug strategies.
If the probability of emesis-related hospitalization was as high as the upper limit of its 95% confidence interval (CI), the ICER for the palo-based two-drug regimen would be $97,301/QALY. However, changes in the cost of an emesis-related admission (95% CI $3,921−$6,112) did not significantly alter the results, nor did variations in office visit and rescue medicine utilization and their associated costs. The results were also not sensitive to variations in the values for the utility weights throughout their 95% CIs. We performed a threshold analysis to explore the price per dose of palo that would result in an acceptable cost–effectiveness ratio under the $100,000/QALY benchmark and found that the ICER for the palo-based two-drug treatment alternative would only fall to a $100,000/QALY threshold when the cost of palo is decreased by 11%.
Figure 2 shows the cost–effectiveness acceptability curves for each strategy, with the onda-based two-drug therapy as the base comparator. These curves show the proportion of the 100,000 simulations in which the comparing antiemetic regimen was considered more cost-effective than the base comparator at different thresholds. Using the benchmark of U.S. $100,000/QALY, the palo-based two-drug strategy and the two-drug regimen plus aprepitant following the onset of emesis were shown to be cost-effective in 39% and 26% of the simulations with the onda-based standard therapy as the baseline, respectively, whereas the palo-based and onda-based three-drug strategies and the onda-based two-drug regimen with aprepitant after emesis were cost-effective in fewer than 10% of the simulations. Of note is that the slope of the acceptability curves for the palo-based two-drug strategies are steep when willingness to pay exceeds $50,000/QALY, indicating that the greater the threshold, the greater the increase in the level of confidence that these strategies could be cost-effective. For example, the probability that the palo-based two-drug strategy is more cost-effective than the onda-based two-drug strategy rises to 51% at a threshold value of $125,000/QALY and exceeds 60% at $150,000/QALY.
Figure 3 presents the scatterplot of the results of the probabilistic sensitivity analysis for the palo-based two-drug strategy. Nearly 96% of the simulations fell within the first quadrant of the chart (ie, on the upper right quadrant), which represents the scenario where the palo-based two-drug therapy is more costly but also more effective than the onda-based standard therapy. However, only 39% of the simulations fell below the $100,000/QALY dashed threshold line, which represents the scenario where the palo-based two-drug strategy is more cost-effective than the onda-based standard therapy at the $100,000/QALY benchmark.
Discussion
Our estimates of emesis-related costs and outcomes following four cycles of AC-based chemotherapy in women with breast cancer indicate that at current antiemetic prices and utilities placed on emesis, the additional costs of palo and aprepitant are not warranted at the $100,000/QALY threshold. In probabilistic sensitivity analysis, the palo-based two-drug strategy and the two-drug regimen plus aprepitant following the onset of emesis were shown to be cost-effective at the $100,000/QALY threshold in only 39% and 26% of the simulations, respectively. The model was sensitive to changes in the values of antiemetic effectiveness for the two-drug regimens and the risk of emesis-related hospitalization.
In threshold analysis, the two-drug palo-based regimen was cost-effective at the $100,000/QALY benchmark when the cost of palo is decreased by 11%. Because the use of the $100,000/QALY threshold is uncommon in clinical practice, the cost-effectiveness of the palo-based two-drug strategy (estimated at $115,490/QALY in our study) compares favorably with other commonly used supportive care measures for women with breast cancer. Such measures include primary prophylaxis with granulocyte colony-stimulating factor in women undergoing chemotherapy with moderate to high myelosuppressive risk (ICER of $116,000/QALY, or $125,948/QALY in 2008 U.S. dollars) and the use of bisphosphonates for the prevention of skeletal complications in breast cancer patients with lytic bone metastases (ICER ranging from $108,200/QALY with chemotherapy as systemic therapy to $305,300 in conjunction with hormonal systemic therapy, or $166,381/QALY to $469,466/QALY in 2008 U.S. dollars, respectively).[23] and [24] Both interventions are considered recommended standards of supportive care for patients with breast cancer and are widely used in breast oncology practices.[25] and [26]
Decision-analytic models, such as the Markov model presented in our study, aim to reflect the reality of clinical practice in a simplified way. Therefore, modelers often need to make decisions regarding the study time frame and model parameters based on the best use of available data. In our study, we obtained estimates for the probability of chemotherapy-induced emesis from studies in which the standard duration of follow-up is 5 days. By so doing, we may have underestimated the cost-effectiveness for the palo-based and aprepitant-based regimens. Although the risk of CINV after 5 days of chemotherapy is usually negligible, anticipation of vomiting may affect a patient's quality of life throughout the cycle of chemotherapy.
In addition, our estimates of costs, which were mostly obtained from Medicare, may differ from those of other third-party payers. However, Medicare is among the largest payers for breast cancer care as 42% of the women diagnosed with cancer in the United States are older than 64 years, and many private organizations set their own reimbursement rates based on the Medicare schedule. Therefore, we believe that Medicare reimbursement data provide a suitable estimate for emesis-related medical costs for all breast cancer patients in the United States.[27] and [28]
The present results should solely be interpreted in light of the cost–effectiveness benchmark of $50,000−$100,000/QALY, which has been frequently used in the context of the U.S. health-care system.[22] and [29] Such a benchmark, however, is a historic, precedent-based threshold set by the cost of caring for patients on dialysis, which was estimated at $50,000/QALY in 1982 ($74,000−$95,000 in 1997 U.S. dollars).[30] and [31] Given the arbitrariness of such a threshold, it has been suggested that the current willingness to pay for medical interventions in the United States probably exceeds $100,000/QALY, with values as high as $300,000/QALY being cited in some oncology publications.[22], [29], [31], [32], [33] and [34] In support of that argument is the public and policy makers' strong negative reaction to the National Institutes of Health Consensus Panel not recommending mammography screening for women aged 40−49 years, a procedure reported to provide an ICER of $105,000 per life-year gained.[35] and [36] As a result, if willingness to pay goes beyond $100,000/QALY, the alternative of adding aprepitant to palo plus dex may also be deemed attractive as the slope of its acceptability curve becomes substantially steep when the willingness to pay for a QALY exceeds $125,000 (Figure 2), suggesting that its marginal gain may exceed its marginal costs at higher thresholds.
In addition, it is worth noting that the present analysis has been conducted from the perspective of a third-party payer within the context of the U.S. health-care system. The large difference in the acquisition cost of palo-based and onda-based therapy observed in the United States is mostly driven by the differential stage of product life cycles for palo and onda. Although at the time of this study palo was still under patent protection, generic onda had entered the U.S. market prior to our study. The large price discrepancy between brand and generic drugs explains the difference in drug costs in this U.S.-based analysis. As such, our results may not reflect the situation in countries with a widely different cost structure, in which the acquisition cost of palo may be substantially lower. When that is the case, the cost–effectiveness profile of the palo-based prophylactic therapy may be deemed substantially more favorable than the profile presented here. Similarly, we anticipate finding a more attractive cost–effectiveness profile for the palo-based therapies as palo reaches the end of its product life cycle in the U.S. market.37 Also of note is that the cost–effectiveness of the palo-based therapy may greatly differ when different perspectives (other than the third-party payer's perspective) are adopted.
Our study, however, has several limitations. First, the utility scores used in our model were derived with a VAS instrument, which does not incorporate patients' preferences under uncertainty. Nevertheless, the VAS approach has been shown to provide utility scores for nausea and vomiting with more variability than scores derived using other methods such as the Standard Gamble (personal communication, Grunberg SM et al, CALGB study 309801). Notwithstanding that, it remains unclear which method gives utility scores for transient health states, such as CINV, with the greatest validity.
Also of note is that due to a lack of information on emesis-related utilities among breast cancer patients in the literature, we used utilities elicited from patients with ovarian cancer. To the best of our knowledge, the utilities in Sun et al20 were the only ones available in the literature that were elicited from a homogeneous population of cancer patients (ie, solely patients with ovarian cancer) and were based on a wide range of health states combining the presence and absence of emesis during either the acute or the delayed period. In addition, the participants in the Sun et al study were treated with carboplatin, which, like the regimen used in our model, is classified as moderately emetogenic in established antiemetic guidelines.[8], [9] and [38] It is also important to emphasize that the population in that study, like our study's population, was composed exclusively of women, who are known to be at increased risk for developing CINV.39
Second, in the absence of clinical trial data, we assumed conservatively that dex and aprepitant add the same relative benefit to both onda and palo. This assumption results in an imperfect estimate of cost–effectiveness. As such, we may have overestimated or underestimated the cost–effectiveness of palo as dex and aprepitant may potentially add less value to the intrinsically more active 5-HT3 antagonist or uniquely complementary mechanisms of action could contribute to even greater activity with the palo-based therapy. However, our study's estimate of the relative effectiveness of the palo-based two-drug prophylactic therapy versus the onda-based two-drug therapy for preventing delayed emesis is consistent with that reported in a recently published clinical trial comparing palo and granisetron when both drugs are combined with dex following chemotherapy with either AC or cisplatin (1.18 vs 1.17, respectively).6
Third, our study did not include the outcomes associated with the adverse effects of antiemetics, and by so doing, we may have underestimated the costs associated with antiemetic prophylaxis. However, the incidence and duration of treatment-related adverse events occurring in the two RCTs comparing palo with either onda or dolasetron were mild and similar across treatment cohorts.[4] and [5]
Fourth, we assumed that changes in emesis control in subsequent cycles of AC for the palo-based regimens were the same as for the onda-based therapy. By so doing, we may have underestimated the cost–effectiveness of palo as the superiority of the more active 5-HT3 antagonist could be maintained in the subsequent cycles of chemotherapy (or even increased, as seen in the aprepitant-based arm of Herrstedt et al's14 study). As a result, if future prospective trials of palo-based antiemetic prophylaxis confirm its superiority in maintaining antiemetic efficacy over multiple cycles of AC, the cost–effectiveness profiles for the palo-based strategies may be more favorable than the profiles presented herein.
Last, the incremental gains in QALY observed in cost–utility analysis of interventions associated with transitory and non-life-threatening health states, such as the antiemetic regimens analyzed in our study, tend to render small denominators to be used in the incremental cost–effectiveness ratios. The issue of small denominators has led some researchers to question whether the current methodology of cost–effectiveness analysis is appropriate to determine the cost–effectiveness of treatments for terminal or supportive care.32 However, despite this shortcoming, these types of analysis benefit from having a wider scope as they allow comparisons over different types of health interventions across various diseases. In addition, by incorporating patients' utility levels over different health states (instead of merely looking into cost per additional patient controlled), cost–utility analysis makes explicit the impact of the target population's preferences for the different outcomes. Of importance is that both the Panel on Cost–Effectiveness in Health and Medicine and the Institute of Medicine (IOM) Committee on Regulatory Cost–Effectiveness Analysis recommend the use of QALY as the preferred outcome measure for economic evaluation of health-care interventions.
Conclusion
Although our base-case analysis suggests that, from a third-party payer perspective within the context of the U.S. health-care system, the cost–utility of the palo-based two-drug prophylactic therapy for breast cancer patients receiving four cycles of AC-based chemotherapy exceeds the $50,000–$100,000/QALY threshold, it is comparable to other commonly used supportive care interventions for women with breast cancer. In sensitivity analyses, such a strategy was associated with a 39% chance of being cost-effective at the $100,000/QALY threshold, and the model was sensitive to changes in the values of antiemetic effectiveness and of the probability of emesis-related hospitalization. In threshold analysis, the combination of palo and dex was shown to become cost-effective (at the $100,000/QALY benchmark) when the cost of palo is decreased by 11%. As a result, future research incorporating the price structure of all antiemetics following the recent expiration of onda's patent is needed.
References1
1 S.M. Grunberg, D. Osoba and P.J. Hesketh et al., Evaluation of new antiemetic agents and definition of antineoplastic agent emetogenicity—an update, Support Care Cancer 13 (2005), pp. 80–84 [15599601]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (68)
2 C.M. Booth, M. Clemons and G. Dranitsaris et al., Chemotherapy-induced nausea and vomiting in breast cancer patients: a prospective observational study, J Support Oncol 5 (2007), pp. 374–380 [17944146]. View Record in Scopus | Cited By in Scopus (10)
3 M. de Boer-Dennert, R. de Wit and P.I. Schmitz et al., Patient perceptions of the side-effects of chemotherapy: the influence of 5HT3 antagonists, Br J Cancer 76 (1997), pp. 1055–1061 [9376266]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (128)
4 P. Eisenberg, J. Figueroa-Vadillo, R. Zamora et al. and 99-04 Palonosetron Study Group, Improved prevention of moderately emetogenic chemotherapy-induced nausea and vomiting with palonosetron, a pharmacologically novel 5-HT3 receptor antagonist: results of a phase III, single-dose trial versus dolasetron, Cancer 98 (2003), pp. 2473–2482 [14635083]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (171)
5 R. Gralla, M. Lichinitser and S. Van Der Vegt et al., Palonosetron improves prevention of chemotherapy-induced nausea and vomiting following moderately emetogenic chemotherapy: results of a double-blind randomized phase III trial comparing single doses of palonosetron with ondansetron, Ann Oncol 14 (2003), pp. 1570–1577 [14504060]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (177)
6 M. Saito, K. Aogi and I. Sekine et al., Palonosetron plus dexamethasone versus granisetron plus dexamethasone for prevention of nausea and vomiting during chemotherapy: a double-blind, double-dummy, randomised, comparative phase III trial, Lancet Oncol 10 (2009), pp. 115–124 [19135415]. Article |
7 D.G. Warr, P.J. Hesketh and R.J. Gralla et al., Efficacy and tolerability of aprepitant for the prevention of chemotherapy-induced nausea and vomiting in patients with breast cancer after moderately emetogenic chemotherapy, J Clin Oncol 23 (2005), pp. 2822–2830 [15837996]. View Record in Scopus | Cited By in Scopus (139)
8 American Society of Clinical Oncology, M.G. Kris, P.J. Hesketh and M.R. Somerfield et al., American Society of Clinical Oncology guideline for antiemetics in oncology: update 2006, J Clin Oncol 24 (2006), pp. 2932–2947 [16717289]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (311)
9 D.S. Ettinger, D.K. Armstrong and S. Barbour et al., National Comprehensive Cancer Network Clinical Practice Guidelines in Oncology—Antiemesis, version 2.2010 http://www.nccn.org/professionals/physician_gls/PDF/antiemesis.pdf Accessed September 20, 2010.
10 R.W. Carlson and B. McCormick, Update: NCCN breast cancer clinical practice guidelines, J Natl Compr Cancer Netw 3 (suppl 1) (2005), pp. S7–S11 [16280118].
11 The Italian Group for Antiemetic Research, Dexamethasone, granisetron, or both for the prevention of nausea and vomiting during chemotherapy for cancer, N Engl J Med 332 (1995), pp. 1–5 [7990859].
12 The Italian Group for Antiemetic Research, Dexamethasone alone or in combination with ondansetron for the prevention of delayed nausea and vomiting induced by chemotherapy, N Engl J Med 342 (2000), pp. 1554–1559 [10824073].
13 S.M. Grunberg, M. Dugan and H. Muss et al., Effectiveness of a single-day three-drug regimen of dexamethasone, palonosetron, and aprepitant for the prevention of acute and delayed nausea and vomiting caused by moderately emetogenic chemotherapy, Support Care Cancer 17 (2009), pp. 589–594 [19037667]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (14)
14 J. Herrstedt, H.B. Muss and D.G. Warr et al., Efficacy and tolerability of aprepitant for the prevention of chemotherapy-induced nausea and emesis over multiple cycles of moderately emetogenic chemotherapy, Cancer 104 (2005), pp. 1548–1555 [16104039]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (43)
15 Centers for Medicare and Medicaid Services, Medicare Part B Drug Average Sales Price: 2008 ASP Drug Pricing Files http://www.cms.hhs.gov/apps/ama/license.asp?file=/McrPartBDrugAvgSalesPrice/downloads/July2008ASPPricingFilebyHCPCS.zip Accessed July 18, 2008.
16 Thomson. Medstat, 1997–2002 MarketScan Health and Productivity Management Database User Guide and Data Dictionary, Thomson Medstat, Ann Arbor, MI (2003).
17 Centers for Medicare and Medicaid Services, National Physician Fee Schedule and Relative Value: 2008 Physician Fee Schedule National Payment Amount File http://www.cms.hhs.gov/PFSlookup/02_PFSSearch.asp Accessed July 18, 2008.
18 National Inpatient Sample (NIS), NIS description of data elements, Healthcare Cost and Utilization Project (HCUP) databases, Agency for Healthcare Research and Quality, Rockville, MD (2004) http://www.hcup-us.ahrq.gov/nisoverview.jsp#Data Accessed May 16, 2010.
19 S. Haislip, J. Gilmore, W.H. Lenz, T. Gondesen and B. Feinberg, Theory in practice: improving patient outcomes and practice efficiency with a simple change in 5-HT3 receptor antagonist for preventing chemotherapy-induced nausea and vomiting (CINV) In: Third Annual Meeting of the Hematology/Oncology Pharmacy Association; Abstract #PR6. June 14–16, 2007; Denver, Colorado http://www.hoparx.org/documents/2007programbook.pdf Accessed November 2, 2010.
20 C.C. Sun, D.C. Bodurka and C.B. Weaver et al., Rankings and symptom assessments of side effects from chemotherapy: insights from experienced patients with ovarian cancer, Support Care Cancer 13 (2005), pp. 219–227 [15538640]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (53)
21 M.F. Drummond, M.J. Sculpher, G.W. Torrance, B.J. O'Brien and G.L. Stoddart, Methods for the Economic Evaluation of Health Care Programmes (3rd ed.), Oxford University Press, New York (2005).
22 J. Hayman, J. Weeks and P. Mauch, Economic analyses in health care: an introduction to the methodology with an emphasis on radiation therapy, Int J Radiat Oncol Biol Phys 35 (1996), pp. 827–841 [8690653]. Article |
23 B.E. Hillner, J.C. Weeks, C.E. Desch and T.J. Smith, Pamidronate in prevention of bone complications in metastatic breast cancer: a cost–effectiveness analysis, J Clin Oncol 18 (2000), pp. 72–79 [10623695]. View Record in Scopus | Cited By in Scopus (90)
24 S.D. Ramsey, Z. Liu and R. Boer et al., Cost–effectiveness of primary versus secondary prophylaxis with pegfilgrastim in women with early-stage breast cancer receiving chemotherapy, Value Health 11 (2008), pp. 172–179 [18673353].
25 B.E. Hillner, J.N. Ingle, R.T. Chlebowski et al. and American Society of Clinical Oncology, American Society of Clinical Oncology 2003 update on the role of bisphosphonates and bone health issues in women with breast cancer, J Clin Oncol 21 (2003), pp. 4042–4057 [12963702]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (533)
26 T.J. Smith, J. Khatcheressian and G.H. Lyman et al., 2006 update of recommendations for the use of white blood cell growth factors: an evidence-based clinical practice guideline, J Clin Oncol 24 (2006), pp. 3187–3205 [16682719]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (485)
27 National Cancer Institute, Surveillance Epidemiology and End Results: SEER Stat Fact Sheets: Breast http://seer.cancer.gov/statfacts/html/breast.html Accessed May 16, 2010.
28 J.W. Tumeh, S.G. Moore, R. Shapiro and C.R. Flowers, Practical approach for using Medicare data to estimate costs for cost–effectiveness analysis, Expert Rev Pharmacoecon Outcomes Res 5 (2005), pp. 153–162 [19807571]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (5)
29 P.A. Ubel, R.A. Hirth, M.E. Chernew and A.M. Fendrick, What is the price of life and why doesn't it increase at the rate of inflation?, Arch Intern Med 163 (2003), pp. 1637–1641 [12885677]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (225)
30 J.C. Hornberger, D.A. Redelmeier and J. Petersen, Variability among methods to assess patients' well-being and consequent effect on a cost–effectiveness analysis, J Clin Epidemiol 45 (1992), pp. 505–512 [1588356]. Article |
31 R.A. Hirth, M.E. Chernew, E. Miller, A.M. Fendrick and W.G. Weissert, Willingness to pay for a quality-adjusted life year: in search of a standard, Med Decis Making 20 (2000), pp. 332–342 [10929856]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (291)
32 Y.C. Shih and M.T. Halpern, Economic evaluations of medical care interventions for cancer patients: how, why, and what does it mean?, CA Cancer J Clin 58 (2008), pp. 231–244 [18596196]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (18)
33 E. Nadler, B. Eckert and P.J. Neumann, Do oncologists believe new cancer drugs offer good value?, Oncologist 11 (2006), pp. 90–95 [16476830]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (50)
34 R.S. Braithwaite, D.O. Meltzer, J.T. King Jr, D. Leslie and M.S. Roberts, What does the value of modern medicine say about the $50,000 per quality-adjusted life-year decision rule?, Med Care 46 (2008), pp. 349–356 [18362813]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (64)
35 National Institutes of Health Consensus Development Panel, 1997 Consensus Statement: Breast Cancer Screening for Women Ages 40–49 http://consensus.nih.gov/1997/1997BreastCancerScreening103html.htm Accessed October 13, 2007.
36 P. Salzmann, K. Kerlikowske and K. Phillips, Cost–effectiveness of extending screening mammography guidelines to include women 40 to 49 years of age, Ann Intern Med 127 (1997), pp. 955–965 [9412300]. View Record in Scopus | Cited By in Scopus (169)
37 Y.C. Shih, S. Han and S.B. Cantor, Impact of generic drug entry on cost–effectiveness analysis, Med Decis Making 25 (2005), pp. 71–80 [15673583]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (6)
38 F. Roila, P.J. Hesketh, J. Herrstedt and Antiemetic Subcommittee of the Multinational Association of Supportive Care in Cancer, Prevention of chemotherapy- and radiotherapy-induced emesis: results of the 2004 Perugia International Antiemetic Consensus Conference, Ann Oncol 17 (2006), pp. 20–28 [16314401]. View Record in Scopus | Cited By in Scopus (90)
39 S.M. Grunberg and A. Ireland, Epidemiology of chemotherapy-induced nausea and vomiting, Adv Studies Nurs 3 (1) (2005), pp. 9–15 http://www.jhasin.com/files/articlefiles/pdf/XASIN_3_1_p9_15.pdf Accessed September 16, 2010.
40 T. Grote, J. Hajdenberg, A. Cartmell, S. Ferguson, A. Ginkel and V. Charu, Combination therapy for chemotherapy-induced nausea and vomiting in patients receiving moderately emetogenic chemotherapy: palonosetron, dexamethasone, and aprepitant, J Support Oncol 4 (2006), pp. 403–408 [17004515]. View Record in Scopus | Cited By in Scopus (38)
41 S.M. Grunberg, M. Dugan, H.B. Muss, M. Wood, S. Burdette-Radoux and T. Weisberg, Efficacy of a 1-day 3-drug antiemetic regimen for prevention of acute and delayed nausea and vomiting induced by moderately emetogenic chemotherapy, J Clin Oncol 25 (18S) (2007), p. 9111.
42 U. S. Department of Labor. Bureau of Labor Statistics. Consumer Price Index http://www.bls.gov/cpi/home.htm Accessed May 16, 2010.
43 Department of Health and Human Services. Centers for Medicare & Medicaid Services, Medicare Program; Proposed Changes to the Hospital Inpatient Prospective Payment Systems and Fiscal Year 2008 Rates CMS-1533-P, pp 1070–1073 http://www.cms.hhs.gov/AcuteInpatientPPS/downloads/CMS-1533-P.pdf Accessed May 16, 2010.
Conflicts of interest: Dr. Sun discloses that her husband was an employee of MGI Pharma, Inc., at the time this article was being written. Dr. Gralla discloses that he is a consultant for MGI Pharma, Inc., GlaxoSmithKline, Sanofi-aventis, and Merck; he also receives honoraria from MGI Pharma, Inc., and Merck and research support from Sanofi-aventis. Dr. Grunberg discloses that he is a consultant for MGI Pharma, Inc.
The Journal of Supportive Oncology
Volume 8, Issue 6, November-December 2010, Pages 242-25
Original research
Elenir B.C. Avritscher MD, PhD, MBA/MHA
Abstract
We estimated the cost-utility of palonosetron-based therapy compared with generic ondansetron-based therapy throughout four cycles of anthracycline and cyclophosphamide for treating women with breast cancer. We developed a Markov model comparing six strategies in which ondansetron and palonosetron are combined with either dexamethasone alone, dexamethasone plus aprepitant following emesis, or dexamethasone plus aprepitant up front. Data on the effectiveness of antiemetics and emesis-related utility were obtained from published sources. Relative to the ondansetron-based two-drug therapy, the incremental cost–effectiveness ratios for the palonosetron-based regimens were $115,490/quality-adjusted life years (QALY) for the two-drug strategy, $199,375/QALY for the two-drug regimen plus aprepitant after emesis, and $200,526/QALY for the three-drug strategy. In sensitivity analysis, using the $100,000/QALY benchmark, the palonosetron-based two-drug strategy and the two-drug regimen plus aprepitant following emesis were shown to be cost-effective in 39% and 26% of the Monte Carlo simulations, respectively, and with changes in values for the effectiveness of antiemetics and the rate of hospitalization. The cost-utility of palonosetron-based therapy exceeds the $100,000/QALY threshold. Future research incorporating the price structure of all antiemetics following ondansetron's recent patent expiration is needed.
Article Outline
Recent advances in emesis control have been possible due to the availability of increasingly more effective antiemetic agents. During the 1990s, the development of first-generation 5-hydroxytryptamine-3 (5-HT3) antagonists (ondansetron, granisetron, tropisetron, and dolasetron) marked a significant improvement in the control of emesis induced by chemotherapy, particularly acute emesis (ie, occurring within 24 hours following chemotherapy).
More recently, two new drugs—palonosetron, a second-generation 5-HT3 antagonist, and aprepitant, a centrally acting neurokinin-1 antagonist—were added to the armamentarium of antiemetic therapy. Compared with other single-dose 5-HT3 antagonists, palonosetron has a higher 5-HT3 binding affinity and longer plasma half-life and has shown superiority in the prevention of delayed emesis (ie, occurring more than 24 hours after chemotherapy administration) following moderately emetogenic chemotherapy with methotrexate, epirubicin, or cisplatin (MEC), including AC-based regimens.[4] and [5] In a recently published clinical trial conducted by Saito et al,6 palonosetron was also shown to be superior to granisetron in preventing delayed and overall emesis when both drugs were combined with dexamethasone following chemotherapy with either AC or cisplatin. As for aprepitant, when added to the standard of a 5-HT3 antagonist and dexamethasone therapy, it has been shown to improve emesis prevention among patients receiving AC-based chemotherapy during the acute, delayed, and overall periods.7
Such benefits have led to a recent revision in the antiemetics guidelines of both the American Society of Clinical Oncology (ASCO) and the National Comprehensive Cancer Network (NCCN), incorporating both palonosetron as one of the recommended 5-HT3 antagonists and aprepitant in combination with a 5-HT3 antagonist and dexamethasone for patients receiving AC-based chemotherapy.[8] and [9] Of note is that the revised 2010 NCCN antiemetic guidelines suggest that palonosetron may be used prior to the start of multiday chemotherapy, which is more likely to cause significant delayed emesis, instead of repeated daily doses of other first-generation 5-HT3 antagonists.9
Given the multiplicity of antiemetic strategies available for prophylaxis of nausea and vomiting associated with AC-based chemotherapy with inherent variability in effectiveness and price, it is critical for existing therapies to be analyzed in terms of both their outcomes and costs. Thus, the purpose of this study is to determine, from a third-party payer perspective, the cost-utility of palonosetron-based therapy in preventing emesis among breast cancer patients receiving four cycles of AC-based chemotherapy relative to generic ondansetron-based antiemetic therapy. Due to variations in the definition of complete emetic response found across antiemetic studies, the analysis will focus on chemotherapy-induced emesis only, rather than nausea and vomiting, as vomiting can be more objectively measured than nausea and, as such, has been more consistently reported.
Patients and Methods
We developed a Markov model to estimate the costs (in 2008 U.S. dollars) and health outcomes associated with emesis among breast cancer patients receiving multiple cycles of AC-based chemotherapy under six prophylactic strategies containing either generic ondansetron (onda) or palonosetron (palo) when each is combined with either dexamethasone (dex) alone, dex plus aprepitant in the subsequent cycles following the occurrence of emesis, or dex plus aprepitant up front (Figure 1). The time horizon for the risk of chemotherapy-induced emesis during each cycle of chemotherapy was 21 days, which is the standard duration of a cycle of AC-based chemotherapy.
Markov Model Comparing Palo-Based Therapy vs Onda-Based Therapy for Prophylaxis of Chemotherapy-Induced Emesis in Breast Cancer Patients Receiving Four Cycles of AC-Based Chemotherapy (1) Onda (32 mg intravenously) + dex (8 mg intravenously) on day 1, followed by dex (4 mg orally twice a day) on days 2−5. (2) Onda (32 mg intravenously) + dex (8 mg intravenously) on day 1, followed by dex (4 mg orally twice a day) on days 2−5 and aprepitant in the subsequent cycles following the occurrence of emesis (ie, onda 16 mg orally + aprepitant 125 mg orally + dex 12 mg orally on day 1 followed by aprepitant 80 mg orally on days 2−3). (3) Palo (0.25 mg intravenously) + dex (8 mg intravenously) on day 1, followed by dex (4 mg orally twice a day) on days 2−5. (4) Palo (0.25 mg intravenously) + dex (8 mg intravenously) on day 1, followed by dex (4 mg orally twice a day) on days 2−5 and aprepitant in the subsequent cycles following the occurrence of emesis (ie, palo 0.25 mg intravenously + aprepitant 125 mg orally + dex 12 mg orally on day 1 followed by aprepitant 80 mg orally on days 2−3). (5) Onda (16 mg orally) + aprepitant (125 mg orally) + dex (12 mg orally) on day 1 followed by aprepitant (80 mg orally) on days 2−3. (6) Palo (0.25 mg intravenously) + aprepitant (125 mg orally) + dex (12 mg orally) on day 1 followed by aprepitant (80 mg orally) on days 2−3. Palo = palonosetron; onda = ondansetron; AC = anthracycline and cyclophosphamide; dex, dexamethasone
We modeled emesis-related outcomes and direct medical costs (from a third-party payer perspective within the context of the U.S. health-care system) over a total of four cycles of chemotherapy as patients receiving AC-based regimens usually undergo at least four cycles of AC.10 We performed all analyses using TreeAge Pro 2009 Suite (Decision Analysis; TreeAge Software, Williamstown, MA). The study was submitted to our institutional review board and was determined to be exempt from review.
Probability Data
Two-drug prophylactic regimens
We estimated the effectiveness of the 5-HT3 antagonists based on secondary analysis of the raw data from the randomized clinical trial (RCT) directly comparing onda and palo when used alone for prevention of emesis associated with MEC, including 90 breast cancer patients from the palo 0.25-mg arm and 82 from the onda 32-mg arm who received AC-based chemotherapy (Table 1).5 Effectiveness estimates for palo 0.25 mg were augmented by data on 117 breast cancer patients on AC-based chemotherapy participating in a multicenter RCT comparing palo with dolasetron (Table 1).4 We assumed that dex adds the same relative benefit to either first- or second-generation 5-HT3 antagonists and obtained the expected additional benefit of dex in preventing acute emesis based on the results of an RCT comparing a single-dose of granisetron in combination with dex vs granisetron given alone to patients undergoing MEC (Table 2).11 Since in the aforementioned study dex was only given on day 1 of chemotherapy, the estimated additional benefit of adding dex to a 5-HT3 inhibitor on the delayed period was obtained from another RCT; this study, conducted by the Italian Group for Antiemetic Research, compared dex alone, dex plus onda, or placebo on days 2−5 of MEC.12
MODEL PARAMETERS | BASE-CASE VALUES (RANGES) | DATA SOURCES |
---|---|---|
Probability of acute emesis control on cycle 1 of AC: | ||
Onda-based two-drug strategyc | 0.84 (0.74−0.93) | Gralla et al,a The Italian Group[5] and [11] |
Palo-based two-drug strategyc | 0.87 (0.81−0.94) | Eisenberg et al,a Gralla et al,a The Italian Group[4], [5] and [11] |
Onda-based three-drug strategyd | 0.88 (0.85−0.91) | Warr et al7 |
Palo-based three-drug strategyd | 0.96 (0.89−0.99) | Grote et al, Grunberg et al[40] and [41] |
Probability of delayed emesis control following control of acute emesis on cycle 1 of ACc: | ||
Onda-based two-drug strategyd | 0.75 (0.62–0.85) | The Italian Group12 |
Palo-based two-drug strategyc | 0.85 (0.78–0.91) | Eisenberg et al,a Gralla et al,a The Italian Group[4], [5] and [12] |
Onda-based three-drug strategyd | 0.86 (0.82–0.90) | Warr et al7 |
Palo-based three-drug strategyc | 0.96 (0.91–0.97) | Eisenberg et al,a Gralla et al,a Warr et al[4], [5] and [7] |
Probability of delayed emesis control following acute emesis on cycle 1 of ACc: | ||
Onda-based two-drug strategyc | 0.46 (0.31–0.62) | Gralla et al,a The Italian Group[5] and [12] |
Palo-based two-drug strategyc | 0.44 (0.27–0.59) | Eisenberg et al,a Gralla et al,a The Italian Group[4], [5] and [12] |
Onda-based three-drug strategyd | 0.44 (0.29–0.57) | Warr et al7 |
Palo-based three-drug strategyc | 0.51 (0.41–0.67) | Eisenberg et al,a Gralla et al,a Warr et al[4], [5] and [7] |
Relative probability of emesis control in subsequent cycles of ACc: | ||
Two-drug therapy | 0.987 (0.970–1.0) | Herrstedt et al14e |
Three-drug therapy | 1.013 (1.0–1.030) | Herrstedt et al14e |
Probability of hospitalization (among patients who develop emesis) per cycle of ACd: | ||
Onda-based regimens | 0.0035 (0.0001−0.019) | Data from Medstat MarketScan16 |
Palo-based regimens | 0.0017 (0.00004−0.0089) | Data from Medstat MarketScan, Haislip et al[16] and [19]b |
Probability of office visit use (among patients who develop emesis) per cycle of ACd: | ||
Onda-based regimens | 0.10 (0.07−0.14) | Data from Medstat MarketScan16 |
Palo-based regimens | 0.05 (0.03−0.07) | Data from Medstat MarketScan, Haislip et al[16] and [19]b |
Probability of rescue medicine utilization use (among patients who develop emesis) per cycle of ACd: | ||
Onda-based regimens | 0.61 (0.46−0.75) | Gralla et al5a |
Palo-based regimens | 0.56 (0.45−0.66) | Eisenberg et al, Gralla et al[4] and [5]a |
Utility weights for emesis per cycle of ACf: | ||
Acute and delayed emesis | 0.15 (0.10−0.20) | Sun et al20 |
Acute emesis and no delayed emesis | 0.76 (0.70−0.83) | Sun et al20 |
No acute emesis and delayed emesis | 0.20 (0.14−0.26) | Sun et al20 |
No acute and no delayed emesis | 0.92 (0.86−0.99) | Sun et al20 |
AC = anthracycline and cyclophosphamide; onda = ondansetron; palo = palonosetron.
a Included in the analysis was the subset of women with breast cancer receiving AC-based chemotherapy.b We obtained an estimate of emesis-related hospitalization and office visit utilization based on data from Medstat MarketScan, HPM subset (Medstat Group, Inc., Ann Arbor, MI) on 707 breast cancer patients who received the first cycle of AC-based chemotherapy from 1996 to 2002 and either were admitted to the hospital or had an office visit for treatment of vomiting or dehydration. Since palo was only introduced into the U.S. market in 2003, we assumed that all these breast cancer patients received onda-based antiemetic prophylaxis. As a result, we estimated the differential rate of health-care resource utilization based on Haislip et al's19 reported differential incidence of extreme events associated with chemotherapy-induced nausea and vomiting experienced by community-based breast cancer patients who received either onda or palo for emesis prophylaxis following the first cycle of chemotherapy.c Of note is that there are two different methods for applying the benefit of adding dex and/or aprepitant to a 5-HT3 antagonist: (1) rate of emesis with 5-HT3* relative risk of emesis by adding dex and/or aprepitant and (2) rate of emesis control with 5-HT3 * relative risk of emesis control by adding dex and/or aprepitant. These produce substantially different results, with the former method skewing the results toward the least effective 5-HT3 and the latter skewing it toward the most effective one. As a result, we estimated the probability of emesis by averaging the results obtained using the two different methods. Of note is that the ranges for these effectiveness estimates were obtained by applying the two different methods to the lower and upper bounds of the 95% confidence intervals derived from the clinical trials comparing the 5-HT3 antagonists when used alone.d Ranges were obtained by constructing 95% confidence intervals for observed proportions using the normal approximation to the binomial distribution.e Ranges are based on the minimum and maximum values observed in Herrstedt et al's14 clinical trial of multicycle chemotherapy.f Ranges are based on the estimate's actual 95% confidence intervals obtained from Sun et al's20 data.
Three-drug prophylactic regimens
We estimated the rate of acute emesis for the three-drug regimens based on data from published studies in which either onda or palo was given in combination with dex and aprepitant on day 1 of MEC (Table 2).[5], [7] and [13] Because aprepitant was either used in combination with dexamethasone or not used on days 2−3 in the trials of palo-based three-drug therapy, we estimated the benefit of adding aprepitant alone to palo on days 2−3 by assuming that the added benefit in the delayed period would be the same as the benefit added to onda. Specifically, we obtained information on the relative risk of delayed emesis control when aprepitant is added on days 2−3 from a large clinical trial of aprepitant combined with onda and dex in breast cancer patients receiving either A or AC chemotherapy (Table 2).7
Effectiveness of antiemetics over multiple cycles of chemotherapy
The estimates of changes in the probability of emesis control over multiple cycles of chemotherapy were obtained from a RCT conducted by Herrstedt et al14 of ondansetron-based two- and three-drug regimens for prevention of chemotherapy-induced nausea and vomiting among breast cancer patients undergoing multiple cycles of AC-based chemotherapy. We assumed that changes in emesis control over four cycles of AC for the palo-based two- and three-drug regimens were similar to the observed changes for the onda-based two- and three-drug strategies, respectively.14
Resource Utilization and Cost Data
The cost of antiemetic prophylaxis was based on the 2008 Medicare Part B reimbursement rates for pharmaceuticals, which reflects the price of ondansetron following its recent patent expiration (Table 3).15 The costs of prophylaxis failures were estimated as follows. In the majority of prophylaxis failures, the only cost is the cost of rescue medication. In such cases, we obtained costs by multiplying the individual doses used for rescue treatment of breast cancer patients on AC participating in the clinical trials comparing palo 0.25 mg with single doses of onda or dolasetron by their unit costs based on the 2008 Medicare Part B reimbursement rates.[5] and [15] For the few patients who are seen in the office for uncontrolled emesis, we obtained estimates of the risk of such emesis-related office visits based on the MarketScan Health Productivity Management (HPM) database from Thomson Reuters on 707 breast cancer patients who received their first cycle of AC-based chemotherapy between 1997 and 2002 (Table 2) and its costs from the 2008 Medicare Physician Fee Schedule Reimbursement for a level III office visit (CPT 99213).[16] and [17]
COST COMPONENT | 2008 U.S.$ (RANGES) | DATA SOURCE |
---|---|---|
Hospitalization | $5,237.00 ($3,921−$6,112)a | HCUP charge data18 Consumer Price Index42 Medicare cost-to-charge ratio43 |
Level III office visit (CPT 99213) | $60.30 ($19.96–$122.46)d | 2008 Medicare Physician Fee Schedule Reimbursement17 |
Prophylactic antiemetics | 2008 Medicare Part B reimbursement rates for pharmaceuticals15 | |
Onda-based two-drug regimen | $49.74 | |
Palo-based two-drug regimen | $207.20 | |
Onda-based three-drug regimen | $324.51 | |
Palo-based three-drug regimen | $482.46 | |
Rescue medicinesb | $35.25 ($21.66–$48.80)c | Eisenberg et al,4 Gralla et al,5 2008 Medicare Part B reimbursement rates for pharmaceuticals15 |
AC = anthracycline and cyclophosphamide; onda = ondansetron; palo = palonosetron; HCUP = Healthcare Cost and Utilization Project
a Charges were inflated to 2008 U.S. dollars using the Consumer Price Index (CPI) for medical care and adjusted to costs using Medicare cost-to-charge ratio. The ranges were based on estimates of the 95% confidence interval.b In the randomized clinical trial directly comparing ondansetron and palonosetron, propulsives accounted for 71% of the rescue medicines used, 5-hydroxytryptamine antagonists for 20%, glucocorticoids for 7%, and aminoalkyl ethers for 2%.5c Costs for rescue medication were obtained by multiplying all drug unit costs by the individual doses used for rescue treatment of breast cancer patients on AC participating in the clinical trials comparing palo 0.25 mg with single doses of onda or dolasetron.[5] and [15] The ranges were based on estimates of the 95% confidence interval.d Ranges were based on the Medicare physician fee schedule for levels I and VI office visits.
Finally, although hospitalization for emesis is extremely rare in this population, when it occurs, it is quite expensive. For completeness, we obtained estimates of the risk of emesis-related hospitalization from the same population of breast cancer patients from whom we obtained the estimate for the risk of emesis-related office visit, whereas hospital costs were obtained from Healthcare Cost and Utilization Project (HCUP) data on 2,342 breast cancer patients who were hospitalized with a primary or admitting diagnosis of vomiting or dehydration from 1997 to 2003 ([Table 2] and [Table 3]).[16] and [18]
Of note is that since palo was only introduced into the U.S. market in 2003, we anticipated the observed risk of emesis-related office visit and hospital admission obtained from MarketScan data during the period 1997−2002 reflected the risk associated with prophylaxis with onda. As a result, given that, when compared with onda, palo has also shown superiority in reducing the severity of emetic episodes when they occur, we estimated the differential rate of health-care resource utilization for palo and onda based on Haislip et al's reported differential incidence of extreme events associated with chemotherapy-induced nausea and vomiting (CINV) experienced by community-based breast cancer patients who received either palo or onda for emesis prophylaxis following the first cycle of chemotherapy (Table 2).[5] and [19]
Utility Data
We obtained the utility weights for acute and delayed emesis from a published study of preferences elicited from ovarian cancer patients undergoing chemotherapy using a modified visual analog scale (VAS) (Table 2).20 We equally applied these emesis-related utility weights to the initial 5-day period of chemotherapy (the standard duration of follow-up in clinical trials of prophylactic antiemetics) in all six prophylactic strategies of the decision tree. Furthermore, because the risk of CINV after 5 days of chemotherapy is usually so negligible as to be unmeasured in clinical trials of antiemetics, we assumed the utility weights for the remaining 16 days of each of the chemotherapy cycles to be the same as the weight associated with complete emesis control (ie, 0.92). We subsequently converted the resulting estimates of quality-adjusted life days into quality-adjusted life years (QALY).
Analysis
We used a stepwise method to calculate the incremental cost–effectiveness ratios of the different prophylactic therapy strategies, with the generic onda-based two-drug therapy (ie, the lowest cost strategy) as the base comparator (also known as the “anchor”).21 We adopted the benchmark range of U.S. $50,000−$100,000 per QALY, which has been commonly cited for oncology-related interventions as the threshold for acceptable cost–effectiveness, and examined the robustness of the results by performing one-way sensitivity analyses of plausible ranges for the model's key parameters based on the data sources used as well as probabilistic sensitivity analysis using Monte Carlo simulation.[21] and [22]
Results
The overall rate of emesis control (on days 1−5) among breast cancer patients following a cycle of AC-based chemotherapy was estimated to be 63% (range 46%−79%) for the onda-based two-drug therapy, 74% (range 66%−85%) for the palo-based two-drug therapy, 76% (range 75%−82%) for the onda-based three-drug therapy, and 92% (range 81%−96%) for the palo-based three-drug therapy. Based on these estimates, relative to the onda-based two-drug therapy, the incremental cost–effectiveness ratios (ICERs) for the palo-based regimens were $115,490/QALY for the two-drug strategy, $199,375/QALY for the two-drug regimen plus aprepitant after emesis, and $200,526/QALY for the three-drug strategy (Table 4). The onda-based two-drug combination plus aprepitant after the onset of emesis was eliminated through extended dominance as it has a greater ICER than the next more effective therapy, the palo-based two-drug treatment strategy (Table 4). The onda-based three-drug strategy was dominated by the palo-based two-drug combination plus aprepitant after the onset of emesis as the former strategy is both less effective and more expensive than the latter (Table 4).
STRATEGY | TOTAL COST (U.S.$) | INCREMENTAL COST (U.S.$) | EFFECTIVENESS (QALY) | INCREMENTAL EFFECTIVENESS (QALY) | INCREMENTAL COST–EFFECTIVENESS (U.S.$/QALY) |
---|---|---|---|---|---|
Onda-based two-drug therapy | $269 | — | 0.1989 | — | — |
Onda-based two-drug therapy with aprepitant after emesis | $635 | $366 | 0.2010 | 0.0021 | $174, 286 Eliminated through extended dominancea |
Palo-based two-drug therapy | $858 | $589 | 0.2040 | 0.0051 | $115,490c |
Palo-based two-drug therapy plus aprepitant after emesis | $1,177 | $319 | 0.2056 | 0.0016 | 199,375 |
Onda-based three-drug therapy | $1,336 | $159 | 0.205 | (0.0006) | Dominatedb |
Palo-based three-drug therapy | $1,939 | $603 | 0.2094 | 0.0044 | $200,526d |
QALY = quality-adjusted life year; AC = anthracycline and cyclophosphamide; ICER = incremental cost–effectiveness ratio; onda = ondansetron; palo = palonosetron
a Extended dominance occurs when one of the treatment alternatives has a greater ICER than the next more effective alternative.b One intervention is said to be dominated by another when it is both less effective and more expensive than the previous less costly alternative.c Because the onda-based two-drug combination plus aprepitant after the onset of emesis was eliminated through extended dominance, the palo-based two-drug therapy was compared with the onda-based two-drug therapy.d Because the onda-based three-drug combination was dominated by the palo-based two-drug combination plus aprepitant after the onset of emesis, the palo-based three-drug therapy was compared with the latter regimen.
In sensitivity analyses using the commonly accepted cost–effectiveness benchmark range of $50,000−$100,000/QALY, the results were sensitive to changes in the overall emesis control rates for the onda-based two-drug strategy. If the probability of overall emesis control for the onda-based two-drug strategy was as low as its estimated lower bound (46%), the ICER for the palo-based two-drug treatment alternative would drop to $53,892/QALY. The results were also sensitive to changes in the effectiveness for the palo-based two-drug regimen: When its overall control rate was as high as its estimated upper bound (86%), its ICER would be $71,472. In contrast, the results were not sensitive to variations in the probability of overall emesis control for the three-drug strategies, nor were they sensitive to changes in the relative probability of emesis control in subsequent cycles of AC for either the two- or three-drug strategies.
If the probability of emesis-related hospitalization was as high as the upper limit of its 95% confidence interval (CI), the ICER for the palo-based two-drug regimen would be $97,301/QALY. However, changes in the cost of an emesis-related admission (95% CI $3,921−$6,112) did not significantly alter the results, nor did variations in office visit and rescue medicine utilization and their associated costs. The results were also not sensitive to variations in the values for the utility weights throughout their 95% CIs. We performed a threshold analysis to explore the price per dose of palo that would result in an acceptable cost–effectiveness ratio under the $100,000/QALY benchmark and found that the ICER for the palo-based two-drug treatment alternative would only fall to a $100,000/QALY threshold when the cost of palo is decreased by 11%.
Figure 2 shows the cost–effectiveness acceptability curves for each strategy, with the onda-based two-drug therapy as the base comparator. These curves show the proportion of the 100,000 simulations in which the comparing antiemetic regimen was considered more cost-effective than the base comparator at different thresholds. Using the benchmark of U.S. $100,000/QALY, the palo-based two-drug strategy and the two-drug regimen plus aprepitant following the onset of emesis were shown to be cost-effective in 39% and 26% of the simulations with the onda-based standard therapy as the baseline, respectively, whereas the palo-based and onda-based three-drug strategies and the onda-based two-drug regimen with aprepitant after emesis were cost-effective in fewer than 10% of the simulations. Of note is that the slope of the acceptability curves for the palo-based two-drug strategies are steep when willingness to pay exceeds $50,000/QALY, indicating that the greater the threshold, the greater the increase in the level of confidence that these strategies could be cost-effective. For example, the probability that the palo-based two-drug strategy is more cost-effective than the onda-based two-drug strategy rises to 51% at a threshold value of $125,000/QALY and exceeds 60% at $150,000/QALY.
Figure 3 presents the scatterplot of the results of the probabilistic sensitivity analysis for the palo-based two-drug strategy. Nearly 96% of the simulations fell within the first quadrant of the chart (ie, on the upper right quadrant), which represents the scenario where the palo-based two-drug therapy is more costly but also more effective than the onda-based standard therapy. However, only 39% of the simulations fell below the $100,000/QALY dashed threshold line, which represents the scenario where the palo-based two-drug strategy is more cost-effective than the onda-based standard therapy at the $100,000/QALY benchmark.
Discussion
Our estimates of emesis-related costs and outcomes following four cycles of AC-based chemotherapy in women with breast cancer indicate that at current antiemetic prices and utilities placed on emesis, the additional costs of palo and aprepitant are not warranted at the $100,000/QALY threshold. In probabilistic sensitivity analysis, the palo-based two-drug strategy and the two-drug regimen plus aprepitant following the onset of emesis were shown to be cost-effective at the $100,000/QALY threshold in only 39% and 26% of the simulations, respectively. The model was sensitive to changes in the values of antiemetic effectiveness for the two-drug regimens and the risk of emesis-related hospitalization.
In threshold analysis, the two-drug palo-based regimen was cost-effective at the $100,000/QALY benchmark when the cost of palo is decreased by 11%. Because the use of the $100,000/QALY threshold is uncommon in clinical practice, the cost-effectiveness of the palo-based two-drug strategy (estimated at $115,490/QALY in our study) compares favorably with other commonly used supportive care measures for women with breast cancer. Such measures include primary prophylaxis with granulocyte colony-stimulating factor in women undergoing chemotherapy with moderate to high myelosuppressive risk (ICER of $116,000/QALY, or $125,948/QALY in 2008 U.S. dollars) and the use of bisphosphonates for the prevention of skeletal complications in breast cancer patients with lytic bone metastases (ICER ranging from $108,200/QALY with chemotherapy as systemic therapy to $305,300 in conjunction with hormonal systemic therapy, or $166,381/QALY to $469,466/QALY in 2008 U.S. dollars, respectively).[23] and [24] Both interventions are considered recommended standards of supportive care for patients with breast cancer and are widely used in breast oncology practices.[25] and [26]
Decision-analytic models, such as the Markov model presented in our study, aim to reflect the reality of clinical practice in a simplified way. Therefore, modelers often need to make decisions regarding the study time frame and model parameters based on the best use of available data. In our study, we obtained estimates for the probability of chemotherapy-induced emesis from studies in which the standard duration of follow-up is 5 days. By so doing, we may have underestimated the cost-effectiveness for the palo-based and aprepitant-based regimens. Although the risk of CINV after 5 days of chemotherapy is usually negligible, anticipation of vomiting may affect a patient's quality of life throughout the cycle of chemotherapy.
In addition, our estimates of costs, which were mostly obtained from Medicare, may differ from those of other third-party payers. However, Medicare is among the largest payers for breast cancer care as 42% of the women diagnosed with cancer in the United States are older than 64 years, and many private organizations set their own reimbursement rates based on the Medicare schedule. Therefore, we believe that Medicare reimbursement data provide a suitable estimate for emesis-related medical costs for all breast cancer patients in the United States.[27] and [28]
The present results should solely be interpreted in light of the cost–effectiveness benchmark of $50,000−$100,000/QALY, which has been frequently used in the context of the U.S. health-care system.[22] and [29] Such a benchmark, however, is a historic, precedent-based threshold set by the cost of caring for patients on dialysis, which was estimated at $50,000/QALY in 1982 ($74,000−$95,000 in 1997 U.S. dollars).[30] and [31] Given the arbitrariness of such a threshold, it has been suggested that the current willingness to pay for medical interventions in the United States probably exceeds $100,000/QALY, with values as high as $300,000/QALY being cited in some oncology publications.[22], [29], [31], [32], [33] and [34] In support of that argument is the public and policy makers' strong negative reaction to the National Institutes of Health Consensus Panel not recommending mammography screening for women aged 40−49 years, a procedure reported to provide an ICER of $105,000 per life-year gained.[35] and [36] As a result, if willingness to pay goes beyond $100,000/QALY, the alternative of adding aprepitant to palo plus dex may also be deemed attractive as the slope of its acceptability curve becomes substantially steep when the willingness to pay for a QALY exceeds $125,000 (Figure 2), suggesting that its marginal gain may exceed its marginal costs at higher thresholds.
In addition, it is worth noting that the present analysis has been conducted from the perspective of a third-party payer within the context of the U.S. health-care system. The large difference in the acquisition cost of palo-based and onda-based therapy observed in the United States is mostly driven by the differential stage of product life cycles for palo and onda. Although at the time of this study palo was still under patent protection, generic onda had entered the U.S. market prior to our study. The large price discrepancy between brand and generic drugs explains the difference in drug costs in this U.S.-based analysis. As such, our results may not reflect the situation in countries with a widely different cost structure, in which the acquisition cost of palo may be substantially lower. When that is the case, the cost–effectiveness profile of the palo-based prophylactic therapy may be deemed substantially more favorable than the profile presented here. Similarly, we anticipate finding a more attractive cost–effectiveness profile for the palo-based therapies as palo reaches the end of its product life cycle in the U.S. market.37 Also of note is that the cost–effectiveness of the palo-based therapy may greatly differ when different perspectives (other than the third-party payer's perspective) are adopted.
Our study, however, has several limitations. First, the utility scores used in our model were derived with a VAS instrument, which does not incorporate patients' preferences under uncertainty. Nevertheless, the VAS approach has been shown to provide utility scores for nausea and vomiting with more variability than scores derived using other methods such as the Standard Gamble (personal communication, Grunberg SM et al, CALGB study 309801). Notwithstanding that, it remains unclear which method gives utility scores for transient health states, such as CINV, with the greatest validity.
Also of note is that due to a lack of information on emesis-related utilities among breast cancer patients in the literature, we used utilities elicited from patients with ovarian cancer. To the best of our knowledge, the utilities in Sun et al20 were the only ones available in the literature that were elicited from a homogeneous population of cancer patients (ie, solely patients with ovarian cancer) and were based on a wide range of health states combining the presence and absence of emesis during either the acute or the delayed period. In addition, the participants in the Sun et al study were treated with carboplatin, which, like the regimen used in our model, is classified as moderately emetogenic in established antiemetic guidelines.[8], [9] and [38] It is also important to emphasize that the population in that study, like our study's population, was composed exclusively of women, who are known to be at increased risk for developing CINV.39
Second, in the absence of clinical trial data, we assumed conservatively that dex and aprepitant add the same relative benefit to both onda and palo. This assumption results in an imperfect estimate of cost–effectiveness. As such, we may have overestimated or underestimated the cost–effectiveness of palo as dex and aprepitant may potentially add less value to the intrinsically more active 5-HT3 antagonist or uniquely complementary mechanisms of action could contribute to even greater activity with the palo-based therapy. However, our study's estimate of the relative effectiveness of the palo-based two-drug prophylactic therapy versus the onda-based two-drug therapy for preventing delayed emesis is consistent with that reported in a recently published clinical trial comparing palo and granisetron when both drugs are combined with dex following chemotherapy with either AC or cisplatin (1.18 vs 1.17, respectively).6
Third, our study did not include the outcomes associated with the adverse effects of antiemetics, and by so doing, we may have underestimated the costs associated with antiemetic prophylaxis. However, the incidence and duration of treatment-related adverse events occurring in the two RCTs comparing palo with either onda or dolasetron were mild and similar across treatment cohorts.[4] and [5]
Fourth, we assumed that changes in emesis control in subsequent cycles of AC for the palo-based regimens were the same as for the onda-based therapy. By so doing, we may have underestimated the cost–effectiveness of palo as the superiority of the more active 5-HT3 antagonist could be maintained in the subsequent cycles of chemotherapy (or even increased, as seen in the aprepitant-based arm of Herrstedt et al's14 study). As a result, if future prospective trials of palo-based antiemetic prophylaxis confirm its superiority in maintaining antiemetic efficacy over multiple cycles of AC, the cost–effectiveness profiles for the palo-based strategies may be more favorable than the profiles presented herein.
Last, the incremental gains in QALY observed in cost–utility analysis of interventions associated with transitory and non-life-threatening health states, such as the antiemetic regimens analyzed in our study, tend to render small denominators to be used in the incremental cost–effectiveness ratios. The issue of small denominators has led some researchers to question whether the current methodology of cost–effectiveness analysis is appropriate to determine the cost–effectiveness of treatments for terminal or supportive care.32 However, despite this shortcoming, these types of analysis benefit from having a wider scope as they allow comparisons over different types of health interventions across various diseases. In addition, by incorporating patients' utility levels over different health states (instead of merely looking into cost per additional patient controlled), cost–utility analysis makes explicit the impact of the target population's preferences for the different outcomes. Of importance is that both the Panel on Cost–Effectiveness in Health and Medicine and the Institute of Medicine (IOM) Committee on Regulatory Cost–Effectiveness Analysis recommend the use of QALY as the preferred outcome measure for economic evaluation of health-care interventions.
Conclusion
Although our base-case analysis suggests that, from a third-party payer perspective within the context of the U.S. health-care system, the cost–utility of the palo-based two-drug prophylactic therapy for breast cancer patients receiving four cycles of AC-based chemotherapy exceeds the $50,000–$100,000/QALY threshold, it is comparable to other commonly used supportive care interventions for women with breast cancer. In sensitivity analyses, such a strategy was associated with a 39% chance of being cost-effective at the $100,000/QALY threshold, and the model was sensitive to changes in the values of antiemetic effectiveness and of the probability of emesis-related hospitalization. In threshold analysis, the combination of palo and dex was shown to become cost-effective (at the $100,000/QALY benchmark) when the cost of palo is decreased by 11%. As a result, future research incorporating the price structure of all antiemetics following the recent expiration of onda's patent is needed.
References1
1 S.M. Grunberg, D. Osoba and P.J. Hesketh et al., Evaluation of new antiemetic agents and definition of antineoplastic agent emetogenicity—an update, Support Care Cancer 13 (2005), pp. 80–84 [15599601]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (68)
2 C.M. Booth, M. Clemons and G. Dranitsaris et al., Chemotherapy-induced nausea and vomiting in breast cancer patients: a prospective observational study, J Support Oncol 5 (2007), pp. 374–380 [17944146]. View Record in Scopus | Cited By in Scopus (10)
3 M. de Boer-Dennert, R. de Wit and P.I. Schmitz et al., Patient perceptions of the side-effects of chemotherapy: the influence of 5HT3 antagonists, Br J Cancer 76 (1997), pp. 1055–1061 [9376266]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (128)
4 P. Eisenberg, J. Figueroa-Vadillo, R. Zamora et al. and 99-04 Palonosetron Study Group, Improved prevention of moderately emetogenic chemotherapy-induced nausea and vomiting with palonosetron, a pharmacologically novel 5-HT3 receptor antagonist: results of a phase III, single-dose trial versus dolasetron, Cancer 98 (2003), pp. 2473–2482 [14635083]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (171)
5 R. Gralla, M. Lichinitser and S. Van Der Vegt et al., Palonosetron improves prevention of chemotherapy-induced nausea and vomiting following moderately emetogenic chemotherapy: results of a double-blind randomized phase III trial comparing single doses of palonosetron with ondansetron, Ann Oncol 14 (2003), pp. 1570–1577 [14504060]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (177)
6 M. Saito, K. Aogi and I. Sekine et al., Palonosetron plus dexamethasone versus granisetron plus dexamethasone for prevention of nausea and vomiting during chemotherapy: a double-blind, double-dummy, randomised, comparative phase III trial, Lancet Oncol 10 (2009), pp. 115–124 [19135415]. Article |
7 D.G. Warr, P.J. Hesketh and R.J. Gralla et al., Efficacy and tolerability of aprepitant for the prevention of chemotherapy-induced nausea and vomiting in patients with breast cancer after moderately emetogenic chemotherapy, J Clin Oncol 23 (2005), pp. 2822–2830 [15837996]. View Record in Scopus | Cited By in Scopus (139)
8 American Society of Clinical Oncology, M.G. Kris, P.J. Hesketh and M.R. Somerfield et al., American Society of Clinical Oncology guideline for antiemetics in oncology: update 2006, J Clin Oncol 24 (2006), pp. 2932–2947 [16717289]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (311)
9 D.S. Ettinger, D.K. Armstrong and S. Barbour et al., National Comprehensive Cancer Network Clinical Practice Guidelines in Oncology—Antiemesis, version 2.2010 http://www.nccn.org/professionals/physician_gls/PDF/antiemesis.pdf Accessed September 20, 2010.
10 R.W. Carlson and B. McCormick, Update: NCCN breast cancer clinical practice guidelines, J Natl Compr Cancer Netw 3 (suppl 1) (2005), pp. S7–S11 [16280118].
11 The Italian Group for Antiemetic Research, Dexamethasone, granisetron, or both for the prevention of nausea and vomiting during chemotherapy for cancer, N Engl J Med 332 (1995), pp. 1–5 [7990859].
12 The Italian Group for Antiemetic Research, Dexamethasone alone or in combination with ondansetron for the prevention of delayed nausea and vomiting induced by chemotherapy, N Engl J Med 342 (2000), pp. 1554–1559 [10824073].
13 S.M. Grunberg, M. Dugan and H. Muss et al., Effectiveness of a single-day three-drug regimen of dexamethasone, palonosetron, and aprepitant for the prevention of acute and delayed nausea and vomiting caused by moderately emetogenic chemotherapy, Support Care Cancer 17 (2009), pp. 589–594 [19037667]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (14)
14 J. Herrstedt, H.B. Muss and D.G. Warr et al., Efficacy and tolerability of aprepitant for the prevention of chemotherapy-induced nausea and emesis over multiple cycles of moderately emetogenic chemotherapy, Cancer 104 (2005), pp. 1548–1555 [16104039]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (43)
15 Centers for Medicare and Medicaid Services, Medicare Part B Drug Average Sales Price: 2008 ASP Drug Pricing Files http://www.cms.hhs.gov/apps/ama/license.asp?file=/McrPartBDrugAvgSalesPrice/downloads/July2008ASPPricingFilebyHCPCS.zip Accessed July 18, 2008.
16 Thomson. Medstat, 1997–2002 MarketScan Health and Productivity Management Database User Guide and Data Dictionary, Thomson Medstat, Ann Arbor, MI (2003).
17 Centers for Medicare and Medicaid Services, National Physician Fee Schedule and Relative Value: 2008 Physician Fee Schedule National Payment Amount File http://www.cms.hhs.gov/PFSlookup/02_PFSSearch.asp Accessed July 18, 2008.
18 National Inpatient Sample (NIS), NIS description of data elements, Healthcare Cost and Utilization Project (HCUP) databases, Agency for Healthcare Research and Quality, Rockville, MD (2004) http://www.hcup-us.ahrq.gov/nisoverview.jsp#Data Accessed May 16, 2010.
19 S. Haislip, J. Gilmore, W.H. Lenz, T. Gondesen and B. Feinberg, Theory in practice: improving patient outcomes and practice efficiency with a simple change in 5-HT3 receptor antagonist for preventing chemotherapy-induced nausea and vomiting (CINV) In: Third Annual Meeting of the Hematology/Oncology Pharmacy Association; Abstract #PR6. June 14–16, 2007; Denver, Colorado http://www.hoparx.org/documents/2007programbook.pdf Accessed November 2, 2010.
20 C.C. Sun, D.C. Bodurka and C.B. Weaver et al., Rankings and symptom assessments of side effects from chemotherapy: insights from experienced patients with ovarian cancer, Support Care Cancer 13 (2005), pp. 219–227 [15538640]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (53)
21 M.F. Drummond, M.J. Sculpher, G.W. Torrance, B.J. O'Brien and G.L. Stoddart, Methods for the Economic Evaluation of Health Care Programmes (3rd ed.), Oxford University Press, New York (2005).
22 J. Hayman, J. Weeks and P. Mauch, Economic analyses in health care: an introduction to the methodology with an emphasis on radiation therapy, Int J Radiat Oncol Biol Phys 35 (1996), pp. 827–841 [8690653]. Article |
23 B.E. Hillner, J.C. Weeks, C.E. Desch and T.J. Smith, Pamidronate in prevention of bone complications in metastatic breast cancer: a cost–effectiveness analysis, J Clin Oncol 18 (2000), pp. 72–79 [10623695]. View Record in Scopus | Cited By in Scopus (90)
24 S.D. Ramsey, Z. Liu and R. Boer et al., Cost–effectiveness of primary versus secondary prophylaxis with pegfilgrastim in women with early-stage breast cancer receiving chemotherapy, Value Health 11 (2008), pp. 172–179 [18673353].
25 B.E. Hillner, J.N. Ingle, R.T. Chlebowski et al. and American Society of Clinical Oncology, American Society of Clinical Oncology 2003 update on the role of bisphosphonates and bone health issues in women with breast cancer, J Clin Oncol 21 (2003), pp. 4042–4057 [12963702]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (533)
26 T.J. Smith, J. Khatcheressian and G.H. Lyman et al., 2006 update of recommendations for the use of white blood cell growth factors: an evidence-based clinical practice guideline, J Clin Oncol 24 (2006), pp. 3187–3205 [16682719]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (485)
27 National Cancer Institute, Surveillance Epidemiology and End Results: SEER Stat Fact Sheets: Breast http://seer.cancer.gov/statfacts/html/breast.html Accessed May 16, 2010.
28 J.W. Tumeh, S.G. Moore, R. Shapiro and C.R. Flowers, Practical approach for using Medicare data to estimate costs for cost–effectiveness analysis, Expert Rev Pharmacoecon Outcomes Res 5 (2005), pp. 153–162 [19807571]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (5)
29 P.A. Ubel, R.A. Hirth, M.E. Chernew and A.M. Fendrick, What is the price of life and why doesn't it increase at the rate of inflation?, Arch Intern Med 163 (2003), pp. 1637–1641 [12885677]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (225)
30 J.C. Hornberger, D.A. Redelmeier and J. Petersen, Variability among methods to assess patients' well-being and consequent effect on a cost–effectiveness analysis, J Clin Epidemiol 45 (1992), pp. 505–512 [1588356]. Article |
31 R.A. Hirth, M.E. Chernew, E. Miller, A.M. Fendrick and W.G. Weissert, Willingness to pay for a quality-adjusted life year: in search of a standard, Med Decis Making 20 (2000), pp. 332–342 [10929856]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (291)
32 Y.C. Shih and M.T. Halpern, Economic evaluations of medical care interventions for cancer patients: how, why, and what does it mean?, CA Cancer J Clin 58 (2008), pp. 231–244 [18596196]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (18)
33 E. Nadler, B. Eckert and P.J. Neumann, Do oncologists believe new cancer drugs offer good value?, Oncologist 11 (2006), pp. 90–95 [16476830]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (50)
34 R.S. Braithwaite, D.O. Meltzer, J.T. King Jr, D. Leslie and M.S. Roberts, What does the value of modern medicine say about the $50,000 per quality-adjusted life-year decision rule?, Med Care 46 (2008), pp. 349–356 [18362813]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (64)
35 National Institutes of Health Consensus Development Panel, 1997 Consensus Statement: Breast Cancer Screening for Women Ages 40–49 http://consensus.nih.gov/1997/1997BreastCancerScreening103html.htm Accessed October 13, 2007.
36 P. Salzmann, K. Kerlikowske and K. Phillips, Cost–effectiveness of extending screening mammography guidelines to include women 40 to 49 years of age, Ann Intern Med 127 (1997), pp. 955–965 [9412300]. View Record in Scopus | Cited By in Scopus (169)
37 Y.C. Shih, S. Han and S.B. Cantor, Impact of generic drug entry on cost–effectiveness analysis, Med Decis Making 25 (2005), pp. 71–80 [15673583]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (6)
38 F. Roila, P.J. Hesketh, J. Herrstedt and Antiemetic Subcommittee of the Multinational Association of Supportive Care in Cancer, Prevention of chemotherapy- and radiotherapy-induced emesis: results of the 2004 Perugia International Antiemetic Consensus Conference, Ann Oncol 17 (2006), pp. 20–28 [16314401]. View Record in Scopus | Cited By in Scopus (90)
39 S.M. Grunberg and A. Ireland, Epidemiology of chemotherapy-induced nausea and vomiting, Adv Studies Nurs 3 (1) (2005), pp. 9–15 http://www.jhasin.com/files/articlefiles/pdf/XASIN_3_1_p9_15.pdf Accessed September 16, 2010.
40 T. Grote, J. Hajdenberg, A. Cartmell, S. Ferguson, A. Ginkel and V. Charu, Combination therapy for chemotherapy-induced nausea and vomiting in patients receiving moderately emetogenic chemotherapy: palonosetron, dexamethasone, and aprepitant, J Support Oncol 4 (2006), pp. 403–408 [17004515]. View Record in Scopus | Cited By in Scopus (38)
41 S.M. Grunberg, M. Dugan, H.B. Muss, M. Wood, S. Burdette-Radoux and T. Weisberg, Efficacy of a 1-day 3-drug antiemetic regimen for prevention of acute and delayed nausea and vomiting induced by moderately emetogenic chemotherapy, J Clin Oncol 25 (18S) (2007), p. 9111.
42 U. S. Department of Labor. Bureau of Labor Statistics. Consumer Price Index http://www.bls.gov/cpi/home.htm Accessed May 16, 2010.
43 Department of Health and Human Services. Centers for Medicare & Medicaid Services, Medicare Program; Proposed Changes to the Hospital Inpatient Prospective Payment Systems and Fiscal Year 2008 Rates CMS-1533-P, pp 1070–1073 http://www.cms.hhs.gov/AcuteInpatientPPS/downloads/CMS-1533-P.pdf Accessed May 16, 2010.
Conflicts of interest: Dr. Sun discloses that her husband was an employee of MGI Pharma, Inc., at the time this article was being written. Dr. Gralla discloses that he is a consultant for MGI Pharma, Inc., GlaxoSmithKline, Sanofi-aventis, and Merck; he also receives honoraria from MGI Pharma, Inc., and Merck and research support from Sanofi-aventis. Dr. Grunberg discloses that he is a consultant for MGI Pharma, Inc.
The Journal of Supportive Oncology
Volume 8, Issue 6, November-December 2010, Pages 242-25
Original research
Elenir B.C. Avritscher MD, PhD, MBA/MHA
Abstract
We estimated the cost-utility of palonosetron-based therapy compared with generic ondansetron-based therapy throughout four cycles of anthracycline and cyclophosphamide for treating women with breast cancer. We developed a Markov model comparing six strategies in which ondansetron and palonosetron are combined with either dexamethasone alone, dexamethasone plus aprepitant following emesis, or dexamethasone plus aprepitant up front. Data on the effectiveness of antiemetics and emesis-related utility were obtained from published sources. Relative to the ondansetron-based two-drug therapy, the incremental cost–effectiveness ratios for the palonosetron-based regimens were $115,490/quality-adjusted life years (QALY) for the two-drug strategy, $199,375/QALY for the two-drug regimen plus aprepitant after emesis, and $200,526/QALY for the three-drug strategy. In sensitivity analysis, using the $100,000/QALY benchmark, the palonosetron-based two-drug strategy and the two-drug regimen plus aprepitant following emesis were shown to be cost-effective in 39% and 26% of the Monte Carlo simulations, respectively, and with changes in values for the effectiveness of antiemetics and the rate of hospitalization. The cost-utility of palonosetron-based therapy exceeds the $100,000/QALY threshold. Future research incorporating the price structure of all antiemetics following ondansetron's recent patent expiration is needed.
Article Outline
Recent advances in emesis control have been possible due to the availability of increasingly more effective antiemetic agents. During the 1990s, the development of first-generation 5-hydroxytryptamine-3 (5-HT3) antagonists (ondansetron, granisetron, tropisetron, and dolasetron) marked a significant improvement in the control of emesis induced by chemotherapy, particularly acute emesis (ie, occurring within 24 hours following chemotherapy).
More recently, two new drugs—palonosetron, a second-generation 5-HT3 antagonist, and aprepitant, a centrally acting neurokinin-1 antagonist—were added to the armamentarium of antiemetic therapy. Compared with other single-dose 5-HT3 antagonists, palonosetron has a higher 5-HT3 binding affinity and longer plasma half-life and has shown superiority in the prevention of delayed emesis (ie, occurring more than 24 hours after chemotherapy administration) following moderately emetogenic chemotherapy with methotrexate, epirubicin, or cisplatin (MEC), including AC-based regimens.[4] and [5] In a recently published clinical trial conducted by Saito et al,6 palonosetron was also shown to be superior to granisetron in preventing delayed and overall emesis when both drugs were combined with dexamethasone following chemotherapy with either AC or cisplatin. As for aprepitant, when added to the standard of a 5-HT3 antagonist and dexamethasone therapy, it has been shown to improve emesis prevention among patients receiving AC-based chemotherapy during the acute, delayed, and overall periods.7
Such benefits have led to a recent revision in the antiemetics guidelines of both the American Society of Clinical Oncology (ASCO) and the National Comprehensive Cancer Network (NCCN), incorporating both palonosetron as one of the recommended 5-HT3 antagonists and aprepitant in combination with a 5-HT3 antagonist and dexamethasone for patients receiving AC-based chemotherapy.[8] and [9] Of note is that the revised 2010 NCCN antiemetic guidelines suggest that palonosetron may be used prior to the start of multiday chemotherapy, which is more likely to cause significant delayed emesis, instead of repeated daily doses of other first-generation 5-HT3 antagonists.9
Given the multiplicity of antiemetic strategies available for prophylaxis of nausea and vomiting associated with AC-based chemotherapy with inherent variability in effectiveness and price, it is critical for existing therapies to be analyzed in terms of both their outcomes and costs. Thus, the purpose of this study is to determine, from a third-party payer perspective, the cost-utility of palonosetron-based therapy in preventing emesis among breast cancer patients receiving four cycles of AC-based chemotherapy relative to generic ondansetron-based antiemetic therapy. Due to variations in the definition of complete emetic response found across antiemetic studies, the analysis will focus on chemotherapy-induced emesis only, rather than nausea and vomiting, as vomiting can be more objectively measured than nausea and, as such, has been more consistently reported.
Patients and Methods
We developed a Markov model to estimate the costs (in 2008 U.S. dollars) and health outcomes associated with emesis among breast cancer patients receiving multiple cycles of AC-based chemotherapy under six prophylactic strategies containing either generic ondansetron (onda) or palonosetron (palo) when each is combined with either dexamethasone (dex) alone, dex plus aprepitant in the subsequent cycles following the occurrence of emesis, or dex plus aprepitant up front (Figure 1). The time horizon for the risk of chemotherapy-induced emesis during each cycle of chemotherapy was 21 days, which is the standard duration of a cycle of AC-based chemotherapy.
Markov Model Comparing Palo-Based Therapy vs Onda-Based Therapy for Prophylaxis of Chemotherapy-Induced Emesis in Breast Cancer Patients Receiving Four Cycles of AC-Based Chemotherapy (1) Onda (32 mg intravenously) + dex (8 mg intravenously) on day 1, followed by dex (4 mg orally twice a day) on days 2−5. (2) Onda (32 mg intravenously) + dex (8 mg intravenously) on day 1, followed by dex (4 mg orally twice a day) on days 2−5 and aprepitant in the subsequent cycles following the occurrence of emesis (ie, onda 16 mg orally + aprepitant 125 mg orally + dex 12 mg orally on day 1 followed by aprepitant 80 mg orally on days 2−3). (3) Palo (0.25 mg intravenously) + dex (8 mg intravenously) on day 1, followed by dex (4 mg orally twice a day) on days 2−5. (4) Palo (0.25 mg intravenously) + dex (8 mg intravenously) on day 1, followed by dex (4 mg orally twice a day) on days 2−5 and aprepitant in the subsequent cycles following the occurrence of emesis (ie, palo 0.25 mg intravenously + aprepitant 125 mg orally + dex 12 mg orally on day 1 followed by aprepitant 80 mg orally on days 2−3). (5) Onda (16 mg orally) + aprepitant (125 mg orally) + dex (12 mg orally) on day 1 followed by aprepitant (80 mg orally) on days 2−3. (6) Palo (0.25 mg intravenously) + aprepitant (125 mg orally) + dex (12 mg orally) on day 1 followed by aprepitant (80 mg orally) on days 2−3. Palo = palonosetron; onda = ondansetron; AC = anthracycline and cyclophosphamide; dex, dexamethasone
We modeled emesis-related outcomes and direct medical costs (from a third-party payer perspective within the context of the U.S. health-care system) over a total of four cycles of chemotherapy as patients receiving AC-based regimens usually undergo at least four cycles of AC.10 We performed all analyses using TreeAge Pro 2009 Suite (Decision Analysis; TreeAge Software, Williamstown, MA). The study was submitted to our institutional review board and was determined to be exempt from review.
Probability Data
Two-drug prophylactic regimens
We estimated the effectiveness of the 5-HT3 antagonists based on secondary analysis of the raw data from the randomized clinical trial (RCT) directly comparing onda and palo when used alone for prevention of emesis associated with MEC, including 90 breast cancer patients from the palo 0.25-mg arm and 82 from the onda 32-mg arm who received AC-based chemotherapy (Table 1).5 Effectiveness estimates for palo 0.25 mg were augmented by data on 117 breast cancer patients on AC-based chemotherapy participating in a multicenter RCT comparing palo with dolasetron (Table 1).4 We assumed that dex adds the same relative benefit to either first- or second-generation 5-HT3 antagonists and obtained the expected additional benefit of dex in preventing acute emesis based on the results of an RCT comparing a single-dose of granisetron in combination with dex vs granisetron given alone to patients undergoing MEC (Table 2).11 Since in the aforementioned study dex was only given on day 1 of chemotherapy, the estimated additional benefit of adding dex to a 5-HT3 inhibitor on the delayed period was obtained from another RCT; this study, conducted by the Italian Group for Antiemetic Research, compared dex alone, dex plus onda, or placebo on days 2−5 of MEC.12
MODEL PARAMETERS | BASE-CASE VALUES (RANGES) | DATA SOURCES |
---|---|---|
Probability of acute emesis control on cycle 1 of AC: | ||
Onda-based two-drug strategyc | 0.84 (0.74−0.93) | Gralla et al,a The Italian Group[5] and [11] |
Palo-based two-drug strategyc | 0.87 (0.81−0.94) | Eisenberg et al,a Gralla et al,a The Italian Group[4], [5] and [11] |
Onda-based three-drug strategyd | 0.88 (0.85−0.91) | Warr et al7 |
Palo-based three-drug strategyd | 0.96 (0.89−0.99) | Grote et al, Grunberg et al[40] and [41] |
Probability of delayed emesis control following control of acute emesis on cycle 1 of ACc: | ||
Onda-based two-drug strategyd | 0.75 (0.62–0.85) | The Italian Group12 |
Palo-based two-drug strategyc | 0.85 (0.78–0.91) | Eisenberg et al,a Gralla et al,a The Italian Group[4], [5] and [12] |
Onda-based three-drug strategyd | 0.86 (0.82–0.90) | Warr et al7 |
Palo-based three-drug strategyc | 0.96 (0.91–0.97) | Eisenberg et al,a Gralla et al,a Warr et al[4], [5] and [7] |
Probability of delayed emesis control following acute emesis on cycle 1 of ACc: | ||
Onda-based two-drug strategyc | 0.46 (0.31–0.62) | Gralla et al,a The Italian Group[5] and [12] |
Palo-based two-drug strategyc | 0.44 (0.27–0.59) | Eisenberg et al,a Gralla et al,a The Italian Group[4], [5] and [12] |
Onda-based three-drug strategyd | 0.44 (0.29–0.57) | Warr et al7 |
Palo-based three-drug strategyc | 0.51 (0.41–0.67) | Eisenberg et al,a Gralla et al,a Warr et al[4], [5] and [7] |
Relative probability of emesis control in subsequent cycles of ACc: | ||
Two-drug therapy | 0.987 (0.970–1.0) | Herrstedt et al14e |
Three-drug therapy | 1.013 (1.0–1.030) | Herrstedt et al14e |
Probability of hospitalization (among patients who develop emesis) per cycle of ACd: | ||
Onda-based regimens | 0.0035 (0.0001−0.019) | Data from Medstat MarketScan16 |
Palo-based regimens | 0.0017 (0.00004−0.0089) | Data from Medstat MarketScan, Haislip et al[16] and [19]b |
Probability of office visit use (among patients who develop emesis) per cycle of ACd: | ||
Onda-based regimens | 0.10 (0.07−0.14) | Data from Medstat MarketScan16 |
Palo-based regimens | 0.05 (0.03−0.07) | Data from Medstat MarketScan, Haislip et al[16] and [19]b |
Probability of rescue medicine utilization use (among patients who develop emesis) per cycle of ACd: | ||
Onda-based regimens | 0.61 (0.46−0.75) | Gralla et al5a |
Palo-based regimens | 0.56 (0.45−0.66) | Eisenberg et al, Gralla et al[4] and [5]a |
Utility weights for emesis per cycle of ACf: | ||
Acute and delayed emesis | 0.15 (0.10−0.20) | Sun et al20 |
Acute emesis and no delayed emesis | 0.76 (0.70−0.83) | Sun et al20 |
No acute emesis and delayed emesis | 0.20 (0.14−0.26) | Sun et al20 |
No acute and no delayed emesis | 0.92 (0.86−0.99) | Sun et al20 |
AC = anthracycline and cyclophosphamide; onda = ondansetron; palo = palonosetron.
a Included in the analysis was the subset of women with breast cancer receiving AC-based chemotherapy.b We obtained an estimate of emesis-related hospitalization and office visit utilization based on data from Medstat MarketScan, HPM subset (Medstat Group, Inc., Ann Arbor, MI) on 707 breast cancer patients who received the first cycle of AC-based chemotherapy from 1996 to 2002 and either were admitted to the hospital or had an office visit for treatment of vomiting or dehydration. Since palo was only introduced into the U.S. market in 2003, we assumed that all these breast cancer patients received onda-based antiemetic prophylaxis. As a result, we estimated the differential rate of health-care resource utilization based on Haislip et al's19 reported differential incidence of extreme events associated with chemotherapy-induced nausea and vomiting experienced by community-based breast cancer patients who received either onda or palo for emesis prophylaxis following the first cycle of chemotherapy.c Of note is that there are two different methods for applying the benefit of adding dex and/or aprepitant to a 5-HT3 antagonist: (1) rate of emesis with 5-HT3* relative risk of emesis by adding dex and/or aprepitant and (2) rate of emesis control with 5-HT3 * relative risk of emesis control by adding dex and/or aprepitant. These produce substantially different results, with the former method skewing the results toward the least effective 5-HT3 and the latter skewing it toward the most effective one. As a result, we estimated the probability of emesis by averaging the results obtained using the two different methods. Of note is that the ranges for these effectiveness estimates were obtained by applying the two different methods to the lower and upper bounds of the 95% confidence intervals derived from the clinical trials comparing the 5-HT3 antagonists when used alone.d Ranges were obtained by constructing 95% confidence intervals for observed proportions using the normal approximation to the binomial distribution.e Ranges are based on the minimum and maximum values observed in Herrstedt et al's14 clinical trial of multicycle chemotherapy.f Ranges are based on the estimate's actual 95% confidence intervals obtained from Sun et al's20 data.
Three-drug prophylactic regimens
We estimated the rate of acute emesis for the three-drug regimens based on data from published studies in which either onda or palo was given in combination with dex and aprepitant on day 1 of MEC (Table 2).[5], [7] and [13] Because aprepitant was either used in combination with dexamethasone or not used on days 2−3 in the trials of palo-based three-drug therapy, we estimated the benefit of adding aprepitant alone to palo on days 2−3 by assuming that the added benefit in the delayed period would be the same as the benefit added to onda. Specifically, we obtained information on the relative risk of delayed emesis control when aprepitant is added on days 2−3 from a large clinical trial of aprepitant combined with onda and dex in breast cancer patients receiving either A or AC chemotherapy (Table 2).7
Effectiveness of antiemetics over multiple cycles of chemotherapy
The estimates of changes in the probability of emesis control over multiple cycles of chemotherapy were obtained from a RCT conducted by Herrstedt et al14 of ondansetron-based two- and three-drug regimens for prevention of chemotherapy-induced nausea and vomiting among breast cancer patients undergoing multiple cycles of AC-based chemotherapy. We assumed that changes in emesis control over four cycles of AC for the palo-based two- and three-drug regimens were similar to the observed changes for the onda-based two- and three-drug strategies, respectively.14
Resource Utilization and Cost Data
The cost of antiemetic prophylaxis was based on the 2008 Medicare Part B reimbursement rates for pharmaceuticals, which reflects the price of ondansetron following its recent patent expiration (Table 3).15 The costs of prophylaxis failures were estimated as follows. In the majority of prophylaxis failures, the only cost is the cost of rescue medication. In such cases, we obtained costs by multiplying the individual doses used for rescue treatment of breast cancer patients on AC participating in the clinical trials comparing palo 0.25 mg with single doses of onda or dolasetron by their unit costs based on the 2008 Medicare Part B reimbursement rates.[5] and [15] For the few patients who are seen in the office for uncontrolled emesis, we obtained estimates of the risk of such emesis-related office visits based on the MarketScan Health Productivity Management (HPM) database from Thomson Reuters on 707 breast cancer patients who received their first cycle of AC-based chemotherapy between 1997 and 2002 (Table 2) and its costs from the 2008 Medicare Physician Fee Schedule Reimbursement for a level III office visit (CPT 99213).[16] and [17]
COST COMPONENT | 2008 U.S.$ (RANGES) | DATA SOURCE |
---|---|---|
Hospitalization | $5,237.00 ($3,921−$6,112)a | HCUP charge data18 Consumer Price Index42 Medicare cost-to-charge ratio43 |
Level III office visit (CPT 99213) | $60.30 ($19.96–$122.46)d | 2008 Medicare Physician Fee Schedule Reimbursement17 |
Prophylactic antiemetics | 2008 Medicare Part B reimbursement rates for pharmaceuticals15 | |
Onda-based two-drug regimen | $49.74 | |
Palo-based two-drug regimen | $207.20 | |
Onda-based three-drug regimen | $324.51 | |
Palo-based three-drug regimen | $482.46 | |
Rescue medicinesb | $35.25 ($21.66–$48.80)c | Eisenberg et al,4 Gralla et al,5 2008 Medicare Part B reimbursement rates for pharmaceuticals15 |
AC = anthracycline and cyclophosphamide; onda = ondansetron; palo = palonosetron; HCUP = Healthcare Cost and Utilization Project
a Charges were inflated to 2008 U.S. dollars using the Consumer Price Index (CPI) for medical care and adjusted to costs using Medicare cost-to-charge ratio. The ranges were based on estimates of the 95% confidence interval.b In the randomized clinical trial directly comparing ondansetron and palonosetron, propulsives accounted for 71% of the rescue medicines used, 5-hydroxytryptamine antagonists for 20%, glucocorticoids for 7%, and aminoalkyl ethers for 2%.5c Costs for rescue medication were obtained by multiplying all drug unit costs by the individual doses used for rescue treatment of breast cancer patients on AC participating in the clinical trials comparing palo 0.25 mg with single doses of onda or dolasetron.[5] and [15] The ranges were based on estimates of the 95% confidence interval.d Ranges were based on the Medicare physician fee schedule for levels I and VI office visits.
Finally, although hospitalization for emesis is extremely rare in this population, when it occurs, it is quite expensive. For completeness, we obtained estimates of the risk of emesis-related hospitalization from the same population of breast cancer patients from whom we obtained the estimate for the risk of emesis-related office visit, whereas hospital costs were obtained from Healthcare Cost and Utilization Project (HCUP) data on 2,342 breast cancer patients who were hospitalized with a primary or admitting diagnosis of vomiting or dehydration from 1997 to 2003 ([Table 2] and [Table 3]).[16] and [18]
Of note is that since palo was only introduced into the U.S. market in 2003, we anticipated the observed risk of emesis-related office visit and hospital admission obtained from MarketScan data during the period 1997−2002 reflected the risk associated with prophylaxis with onda. As a result, given that, when compared with onda, palo has also shown superiority in reducing the severity of emetic episodes when they occur, we estimated the differential rate of health-care resource utilization for palo and onda based on Haislip et al's reported differential incidence of extreme events associated with chemotherapy-induced nausea and vomiting (CINV) experienced by community-based breast cancer patients who received either palo or onda for emesis prophylaxis following the first cycle of chemotherapy (Table 2).[5] and [19]
Utility Data
We obtained the utility weights for acute and delayed emesis from a published study of preferences elicited from ovarian cancer patients undergoing chemotherapy using a modified visual analog scale (VAS) (Table 2).20 We equally applied these emesis-related utility weights to the initial 5-day period of chemotherapy (the standard duration of follow-up in clinical trials of prophylactic antiemetics) in all six prophylactic strategies of the decision tree. Furthermore, because the risk of CINV after 5 days of chemotherapy is usually so negligible as to be unmeasured in clinical trials of antiemetics, we assumed the utility weights for the remaining 16 days of each of the chemotherapy cycles to be the same as the weight associated with complete emesis control (ie, 0.92). We subsequently converted the resulting estimates of quality-adjusted life days into quality-adjusted life years (QALY).
Analysis
We used a stepwise method to calculate the incremental cost–effectiveness ratios of the different prophylactic therapy strategies, with the generic onda-based two-drug therapy (ie, the lowest cost strategy) as the base comparator (also known as the “anchor”).21 We adopted the benchmark range of U.S. $50,000−$100,000 per QALY, which has been commonly cited for oncology-related interventions as the threshold for acceptable cost–effectiveness, and examined the robustness of the results by performing one-way sensitivity analyses of plausible ranges for the model's key parameters based on the data sources used as well as probabilistic sensitivity analysis using Monte Carlo simulation.[21] and [22]
Results
The overall rate of emesis control (on days 1−5) among breast cancer patients following a cycle of AC-based chemotherapy was estimated to be 63% (range 46%−79%) for the onda-based two-drug therapy, 74% (range 66%−85%) for the palo-based two-drug therapy, 76% (range 75%−82%) for the onda-based three-drug therapy, and 92% (range 81%−96%) for the palo-based three-drug therapy. Based on these estimates, relative to the onda-based two-drug therapy, the incremental cost–effectiveness ratios (ICERs) for the palo-based regimens were $115,490/QALY for the two-drug strategy, $199,375/QALY for the two-drug regimen plus aprepitant after emesis, and $200,526/QALY for the three-drug strategy (Table 4). The onda-based two-drug combination plus aprepitant after the onset of emesis was eliminated through extended dominance as it has a greater ICER than the next more effective therapy, the palo-based two-drug treatment strategy (Table 4). The onda-based three-drug strategy was dominated by the palo-based two-drug combination plus aprepitant after the onset of emesis as the former strategy is both less effective and more expensive than the latter (Table 4).
STRATEGY | TOTAL COST (U.S.$) | INCREMENTAL COST (U.S.$) | EFFECTIVENESS (QALY) | INCREMENTAL EFFECTIVENESS (QALY) | INCREMENTAL COST–EFFECTIVENESS (U.S.$/QALY) |
---|---|---|---|---|---|
Onda-based two-drug therapy | $269 | — | 0.1989 | — | — |
Onda-based two-drug therapy with aprepitant after emesis | $635 | $366 | 0.2010 | 0.0021 | $174, 286 Eliminated through extended dominancea |
Palo-based two-drug therapy | $858 | $589 | 0.2040 | 0.0051 | $115,490c |
Palo-based two-drug therapy plus aprepitant after emesis | $1,177 | $319 | 0.2056 | 0.0016 | 199,375 |
Onda-based three-drug therapy | $1,336 | $159 | 0.205 | (0.0006) | Dominatedb |
Palo-based three-drug therapy | $1,939 | $603 | 0.2094 | 0.0044 | $200,526d |
QALY = quality-adjusted life year; AC = anthracycline and cyclophosphamide; ICER = incremental cost–effectiveness ratio; onda = ondansetron; palo = palonosetron
a Extended dominance occurs when one of the treatment alternatives has a greater ICER than the next more effective alternative.b One intervention is said to be dominated by another when it is both less effective and more expensive than the previous less costly alternative.c Because the onda-based two-drug combination plus aprepitant after the onset of emesis was eliminated through extended dominance, the palo-based two-drug therapy was compared with the onda-based two-drug therapy.d Because the onda-based three-drug combination was dominated by the palo-based two-drug combination plus aprepitant after the onset of emesis, the palo-based three-drug therapy was compared with the latter regimen.
In sensitivity analyses using the commonly accepted cost–effectiveness benchmark range of $50,000−$100,000/QALY, the results were sensitive to changes in the overall emesis control rates for the onda-based two-drug strategy. If the probability of overall emesis control for the onda-based two-drug strategy was as low as its estimated lower bound (46%), the ICER for the palo-based two-drug treatment alternative would drop to $53,892/QALY. The results were also sensitive to changes in the effectiveness for the palo-based two-drug regimen: When its overall control rate was as high as its estimated upper bound (86%), its ICER would be $71,472. In contrast, the results were not sensitive to variations in the probability of overall emesis control for the three-drug strategies, nor were they sensitive to changes in the relative probability of emesis control in subsequent cycles of AC for either the two- or three-drug strategies.
If the probability of emesis-related hospitalization was as high as the upper limit of its 95% confidence interval (CI), the ICER for the palo-based two-drug regimen would be $97,301/QALY. However, changes in the cost of an emesis-related admission (95% CI $3,921−$6,112) did not significantly alter the results, nor did variations in office visit and rescue medicine utilization and their associated costs. The results were also not sensitive to variations in the values for the utility weights throughout their 95% CIs. We performed a threshold analysis to explore the price per dose of palo that would result in an acceptable cost–effectiveness ratio under the $100,000/QALY benchmark and found that the ICER for the palo-based two-drug treatment alternative would only fall to a $100,000/QALY threshold when the cost of palo is decreased by 11%.
Figure 2 shows the cost–effectiveness acceptability curves for each strategy, with the onda-based two-drug therapy as the base comparator. These curves show the proportion of the 100,000 simulations in which the comparing antiemetic regimen was considered more cost-effective than the base comparator at different thresholds. Using the benchmark of U.S. $100,000/QALY, the palo-based two-drug strategy and the two-drug regimen plus aprepitant following the onset of emesis were shown to be cost-effective in 39% and 26% of the simulations with the onda-based standard therapy as the baseline, respectively, whereas the palo-based and onda-based three-drug strategies and the onda-based two-drug regimen with aprepitant after emesis were cost-effective in fewer than 10% of the simulations. Of note is that the slope of the acceptability curves for the palo-based two-drug strategies are steep when willingness to pay exceeds $50,000/QALY, indicating that the greater the threshold, the greater the increase in the level of confidence that these strategies could be cost-effective. For example, the probability that the palo-based two-drug strategy is more cost-effective than the onda-based two-drug strategy rises to 51% at a threshold value of $125,000/QALY and exceeds 60% at $150,000/QALY.
Figure 3 presents the scatterplot of the results of the probabilistic sensitivity analysis for the palo-based two-drug strategy. Nearly 96% of the simulations fell within the first quadrant of the chart (ie, on the upper right quadrant), which represents the scenario where the palo-based two-drug therapy is more costly but also more effective than the onda-based standard therapy. However, only 39% of the simulations fell below the $100,000/QALY dashed threshold line, which represents the scenario where the palo-based two-drug strategy is more cost-effective than the onda-based standard therapy at the $100,000/QALY benchmark.
Discussion
Our estimates of emesis-related costs and outcomes following four cycles of AC-based chemotherapy in women with breast cancer indicate that at current antiemetic prices and utilities placed on emesis, the additional costs of palo and aprepitant are not warranted at the $100,000/QALY threshold. In probabilistic sensitivity analysis, the palo-based two-drug strategy and the two-drug regimen plus aprepitant following the onset of emesis were shown to be cost-effective at the $100,000/QALY threshold in only 39% and 26% of the simulations, respectively. The model was sensitive to changes in the values of antiemetic effectiveness for the two-drug regimens and the risk of emesis-related hospitalization.
In threshold analysis, the two-drug palo-based regimen was cost-effective at the $100,000/QALY benchmark when the cost of palo is decreased by 11%. Because the use of the $100,000/QALY threshold is uncommon in clinical practice, the cost-effectiveness of the palo-based two-drug strategy (estimated at $115,490/QALY in our study) compares favorably with other commonly used supportive care measures for women with breast cancer. Such measures include primary prophylaxis with granulocyte colony-stimulating factor in women undergoing chemotherapy with moderate to high myelosuppressive risk (ICER of $116,000/QALY, or $125,948/QALY in 2008 U.S. dollars) and the use of bisphosphonates for the prevention of skeletal complications in breast cancer patients with lytic bone metastases (ICER ranging from $108,200/QALY with chemotherapy as systemic therapy to $305,300 in conjunction with hormonal systemic therapy, or $166,381/QALY to $469,466/QALY in 2008 U.S. dollars, respectively).[23] and [24] Both interventions are considered recommended standards of supportive care for patients with breast cancer and are widely used in breast oncology practices.[25] and [26]
Decision-analytic models, such as the Markov model presented in our study, aim to reflect the reality of clinical practice in a simplified way. Therefore, modelers often need to make decisions regarding the study time frame and model parameters based on the best use of available data. In our study, we obtained estimates for the probability of chemotherapy-induced emesis from studies in which the standard duration of follow-up is 5 days. By so doing, we may have underestimated the cost-effectiveness for the palo-based and aprepitant-based regimens. Although the risk of CINV after 5 days of chemotherapy is usually negligible, anticipation of vomiting may affect a patient's quality of life throughout the cycle of chemotherapy.
In addition, our estimates of costs, which were mostly obtained from Medicare, may differ from those of other third-party payers. However, Medicare is among the largest payers for breast cancer care as 42% of the women diagnosed with cancer in the United States are older than 64 years, and many private organizations set their own reimbursement rates based on the Medicare schedule. Therefore, we believe that Medicare reimbursement data provide a suitable estimate for emesis-related medical costs for all breast cancer patients in the United States.[27] and [28]
The present results should solely be interpreted in light of the cost–effectiveness benchmark of $50,000−$100,000/QALY, which has been frequently used in the context of the U.S. health-care system.[22] and [29] Such a benchmark, however, is a historic, precedent-based threshold set by the cost of caring for patients on dialysis, which was estimated at $50,000/QALY in 1982 ($74,000−$95,000 in 1997 U.S. dollars).[30] and [31] Given the arbitrariness of such a threshold, it has been suggested that the current willingness to pay for medical interventions in the United States probably exceeds $100,000/QALY, with values as high as $300,000/QALY being cited in some oncology publications.[22], [29], [31], [32], [33] and [34] In support of that argument is the public and policy makers' strong negative reaction to the National Institutes of Health Consensus Panel not recommending mammography screening for women aged 40−49 years, a procedure reported to provide an ICER of $105,000 per life-year gained.[35] and [36] As a result, if willingness to pay goes beyond $100,000/QALY, the alternative of adding aprepitant to palo plus dex may also be deemed attractive as the slope of its acceptability curve becomes substantially steep when the willingness to pay for a QALY exceeds $125,000 (Figure 2), suggesting that its marginal gain may exceed its marginal costs at higher thresholds.
In addition, it is worth noting that the present analysis has been conducted from the perspective of a third-party payer within the context of the U.S. health-care system. The large difference in the acquisition cost of palo-based and onda-based therapy observed in the United States is mostly driven by the differential stage of product life cycles for palo and onda. Although at the time of this study palo was still under patent protection, generic onda had entered the U.S. market prior to our study. The large price discrepancy between brand and generic drugs explains the difference in drug costs in this U.S.-based analysis. As such, our results may not reflect the situation in countries with a widely different cost structure, in which the acquisition cost of palo may be substantially lower. When that is the case, the cost–effectiveness profile of the palo-based prophylactic therapy may be deemed substantially more favorable than the profile presented here. Similarly, we anticipate finding a more attractive cost–effectiveness profile for the palo-based therapies as palo reaches the end of its product life cycle in the U.S. market.37 Also of note is that the cost–effectiveness of the palo-based therapy may greatly differ when different perspectives (other than the third-party payer's perspective) are adopted.
Our study, however, has several limitations. First, the utility scores used in our model were derived with a VAS instrument, which does not incorporate patients' preferences under uncertainty. Nevertheless, the VAS approach has been shown to provide utility scores for nausea and vomiting with more variability than scores derived using other methods such as the Standard Gamble (personal communication, Grunberg SM et al, CALGB study 309801). Notwithstanding that, it remains unclear which method gives utility scores for transient health states, such as CINV, with the greatest validity.
Also of note is that due to a lack of information on emesis-related utilities among breast cancer patients in the literature, we used utilities elicited from patients with ovarian cancer. To the best of our knowledge, the utilities in Sun et al20 were the only ones available in the literature that were elicited from a homogeneous population of cancer patients (ie, solely patients with ovarian cancer) and were based on a wide range of health states combining the presence and absence of emesis during either the acute or the delayed period. In addition, the participants in the Sun et al study were treated with carboplatin, which, like the regimen used in our model, is classified as moderately emetogenic in established antiemetic guidelines.[8], [9] and [38] It is also important to emphasize that the population in that study, like our study's population, was composed exclusively of women, who are known to be at increased risk for developing CINV.39
Second, in the absence of clinical trial data, we assumed conservatively that dex and aprepitant add the same relative benefit to both onda and palo. This assumption results in an imperfect estimate of cost–effectiveness. As such, we may have overestimated or underestimated the cost–effectiveness of palo as dex and aprepitant may potentially add less value to the intrinsically more active 5-HT3 antagonist or uniquely complementary mechanisms of action could contribute to even greater activity with the palo-based therapy. However, our study's estimate of the relative effectiveness of the palo-based two-drug prophylactic therapy versus the onda-based two-drug therapy for preventing delayed emesis is consistent with that reported in a recently published clinical trial comparing palo and granisetron when both drugs are combined with dex following chemotherapy with either AC or cisplatin (1.18 vs 1.17, respectively).6
Third, our study did not include the outcomes associated with the adverse effects of antiemetics, and by so doing, we may have underestimated the costs associated with antiemetic prophylaxis. However, the incidence and duration of treatment-related adverse events occurring in the two RCTs comparing palo with either onda or dolasetron were mild and similar across treatment cohorts.[4] and [5]
Fourth, we assumed that changes in emesis control in subsequent cycles of AC for the palo-based regimens were the same as for the onda-based therapy. By so doing, we may have underestimated the cost–effectiveness of palo as the superiority of the more active 5-HT3 antagonist could be maintained in the subsequent cycles of chemotherapy (or even increased, as seen in the aprepitant-based arm of Herrstedt et al's14 study). As a result, if future prospective trials of palo-based antiemetic prophylaxis confirm its superiority in maintaining antiemetic efficacy over multiple cycles of AC, the cost–effectiveness profiles for the palo-based strategies may be more favorable than the profiles presented herein.
Last, the incremental gains in QALY observed in cost–utility analysis of interventions associated with transitory and non-life-threatening health states, such as the antiemetic regimens analyzed in our study, tend to render small denominators to be used in the incremental cost–effectiveness ratios. The issue of small denominators has led some researchers to question whether the current methodology of cost–effectiveness analysis is appropriate to determine the cost–effectiveness of treatments for terminal or supportive care.32 However, despite this shortcoming, these types of analysis benefit from having a wider scope as they allow comparisons over different types of health interventions across various diseases. In addition, by incorporating patients' utility levels over different health states (instead of merely looking into cost per additional patient controlled), cost–utility analysis makes explicit the impact of the target population's preferences for the different outcomes. Of importance is that both the Panel on Cost–Effectiveness in Health and Medicine and the Institute of Medicine (IOM) Committee on Regulatory Cost–Effectiveness Analysis recommend the use of QALY as the preferred outcome measure for economic evaluation of health-care interventions.
Conclusion
Although our base-case analysis suggests that, from a third-party payer perspective within the context of the U.S. health-care system, the cost–utility of the palo-based two-drug prophylactic therapy for breast cancer patients receiving four cycles of AC-based chemotherapy exceeds the $50,000–$100,000/QALY threshold, it is comparable to other commonly used supportive care interventions for women with breast cancer. In sensitivity analyses, such a strategy was associated with a 39% chance of being cost-effective at the $100,000/QALY threshold, and the model was sensitive to changes in the values of antiemetic effectiveness and of the probability of emesis-related hospitalization. In threshold analysis, the combination of palo and dex was shown to become cost-effective (at the $100,000/QALY benchmark) when the cost of palo is decreased by 11%. As a result, future research incorporating the price structure of all antiemetics following the recent expiration of onda's patent is needed.
References1
1 S.M. Grunberg, D. Osoba and P.J. Hesketh et al., Evaluation of new antiemetic agents and definition of antineoplastic agent emetogenicity—an update, Support Care Cancer 13 (2005), pp. 80–84 [15599601]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (68)
2 C.M. Booth, M. Clemons and G. Dranitsaris et al., Chemotherapy-induced nausea and vomiting in breast cancer patients: a prospective observational study, J Support Oncol 5 (2007), pp. 374–380 [17944146]. View Record in Scopus | Cited By in Scopus (10)
3 M. de Boer-Dennert, R. de Wit and P.I. Schmitz et al., Patient perceptions of the side-effects of chemotherapy: the influence of 5HT3 antagonists, Br J Cancer 76 (1997), pp. 1055–1061 [9376266]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (128)
4 P. Eisenberg, J. Figueroa-Vadillo, R. Zamora et al. and 99-04 Palonosetron Study Group, Improved prevention of moderately emetogenic chemotherapy-induced nausea and vomiting with palonosetron, a pharmacologically novel 5-HT3 receptor antagonist: results of a phase III, single-dose trial versus dolasetron, Cancer 98 (2003), pp. 2473–2482 [14635083]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (171)
5 R. Gralla, M. Lichinitser and S. Van Der Vegt et al., Palonosetron improves prevention of chemotherapy-induced nausea and vomiting following moderately emetogenic chemotherapy: results of a double-blind randomized phase III trial comparing single doses of palonosetron with ondansetron, Ann Oncol 14 (2003), pp. 1570–1577 [14504060]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (177)
6 M. Saito, K. Aogi and I. Sekine et al., Palonosetron plus dexamethasone versus granisetron plus dexamethasone for prevention of nausea and vomiting during chemotherapy: a double-blind, double-dummy, randomised, comparative phase III trial, Lancet Oncol 10 (2009), pp. 115–124 [19135415]. Article |
7 D.G. Warr, P.J. Hesketh and R.J. Gralla et al., Efficacy and tolerability of aprepitant for the prevention of chemotherapy-induced nausea and vomiting in patients with breast cancer after moderately emetogenic chemotherapy, J Clin Oncol 23 (2005), pp. 2822–2830 [15837996]. View Record in Scopus | Cited By in Scopus (139)
8 American Society of Clinical Oncology, M.G. Kris, P.J. Hesketh and M.R. Somerfield et al., American Society of Clinical Oncology guideline for antiemetics in oncology: update 2006, J Clin Oncol 24 (2006), pp. 2932–2947 [16717289]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (311)
9 D.S. Ettinger, D.K. Armstrong and S. Barbour et al., National Comprehensive Cancer Network Clinical Practice Guidelines in Oncology—Antiemesis, version 2.2010 http://www.nccn.org/professionals/physician_gls/PDF/antiemesis.pdf Accessed September 20, 2010.
10 R.W. Carlson and B. McCormick, Update: NCCN breast cancer clinical practice guidelines, J Natl Compr Cancer Netw 3 (suppl 1) (2005), pp. S7–S11 [16280118].
11 The Italian Group for Antiemetic Research, Dexamethasone, granisetron, or both for the prevention of nausea and vomiting during chemotherapy for cancer, N Engl J Med 332 (1995), pp. 1–5 [7990859].
12 The Italian Group for Antiemetic Research, Dexamethasone alone or in combination with ondansetron for the prevention of delayed nausea and vomiting induced by chemotherapy, N Engl J Med 342 (2000), pp. 1554–1559 [10824073].
13 S.M. Grunberg, M. Dugan and H. Muss et al., Effectiveness of a single-day three-drug regimen of dexamethasone, palonosetron, and aprepitant for the prevention of acute and delayed nausea and vomiting caused by moderately emetogenic chemotherapy, Support Care Cancer 17 (2009), pp. 589–594 [19037667]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (14)
14 J. Herrstedt, H.B. Muss and D.G. Warr et al., Efficacy and tolerability of aprepitant for the prevention of chemotherapy-induced nausea and emesis over multiple cycles of moderately emetogenic chemotherapy, Cancer 104 (2005), pp. 1548–1555 [16104039]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (43)
15 Centers for Medicare and Medicaid Services, Medicare Part B Drug Average Sales Price: 2008 ASP Drug Pricing Files http://www.cms.hhs.gov/apps/ama/license.asp?file=/McrPartBDrugAvgSalesPrice/downloads/July2008ASPPricingFilebyHCPCS.zip Accessed July 18, 2008.
16 Thomson. Medstat, 1997–2002 MarketScan Health and Productivity Management Database User Guide and Data Dictionary, Thomson Medstat, Ann Arbor, MI (2003).
17 Centers for Medicare and Medicaid Services, National Physician Fee Schedule and Relative Value: 2008 Physician Fee Schedule National Payment Amount File http://www.cms.hhs.gov/PFSlookup/02_PFSSearch.asp Accessed July 18, 2008.
18 National Inpatient Sample (NIS), NIS description of data elements, Healthcare Cost and Utilization Project (HCUP) databases, Agency for Healthcare Research and Quality, Rockville, MD (2004) http://www.hcup-us.ahrq.gov/nisoverview.jsp#Data Accessed May 16, 2010.
19 S. Haislip, J. Gilmore, W.H. Lenz, T. Gondesen and B. Feinberg, Theory in practice: improving patient outcomes and practice efficiency with a simple change in 5-HT3 receptor antagonist for preventing chemotherapy-induced nausea and vomiting (CINV) In: Third Annual Meeting of the Hematology/Oncology Pharmacy Association; Abstract #PR6. June 14–16, 2007; Denver, Colorado http://www.hoparx.org/documents/2007programbook.pdf Accessed November 2, 2010.
20 C.C. Sun, D.C. Bodurka and C.B. Weaver et al., Rankings and symptom assessments of side effects from chemotherapy: insights from experienced patients with ovarian cancer, Support Care Cancer 13 (2005), pp. 219–227 [15538640]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (53)
21 M.F. Drummond, M.J. Sculpher, G.W. Torrance, B.J. O'Brien and G.L. Stoddart, Methods for the Economic Evaluation of Health Care Programmes (3rd ed.), Oxford University Press, New York (2005).
22 J. Hayman, J. Weeks and P. Mauch, Economic analyses in health care: an introduction to the methodology with an emphasis on radiation therapy, Int J Radiat Oncol Biol Phys 35 (1996), pp. 827–841 [8690653]. Article |
23 B.E. Hillner, J.C. Weeks, C.E. Desch and T.J. Smith, Pamidronate in prevention of bone complications in metastatic breast cancer: a cost–effectiveness analysis, J Clin Oncol 18 (2000), pp. 72–79 [10623695]. View Record in Scopus | Cited By in Scopus (90)
24 S.D. Ramsey, Z. Liu and R. Boer et al., Cost–effectiveness of primary versus secondary prophylaxis with pegfilgrastim in women with early-stage breast cancer receiving chemotherapy, Value Health 11 (2008), pp. 172–179 [18673353].
25 B.E. Hillner, J.N. Ingle, R.T. Chlebowski et al. and American Society of Clinical Oncology, American Society of Clinical Oncology 2003 update on the role of bisphosphonates and bone health issues in women with breast cancer, J Clin Oncol 21 (2003), pp. 4042–4057 [12963702]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (533)
26 T.J. Smith, J. Khatcheressian and G.H. Lyman et al., 2006 update of recommendations for the use of white blood cell growth factors: an evidence-based clinical practice guideline, J Clin Oncol 24 (2006), pp. 3187–3205 [16682719]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (485)
27 National Cancer Institute, Surveillance Epidemiology and End Results: SEER Stat Fact Sheets: Breast http://seer.cancer.gov/statfacts/html/breast.html Accessed May 16, 2010.
28 J.W. Tumeh, S.G. Moore, R. Shapiro and C.R. Flowers, Practical approach for using Medicare data to estimate costs for cost–effectiveness analysis, Expert Rev Pharmacoecon Outcomes Res 5 (2005), pp. 153–162 [19807571]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (5)
29 P.A. Ubel, R.A. Hirth, M.E. Chernew and A.M. Fendrick, What is the price of life and why doesn't it increase at the rate of inflation?, Arch Intern Med 163 (2003), pp. 1637–1641 [12885677]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (225)
30 J.C. Hornberger, D.A. Redelmeier and J. Petersen, Variability among methods to assess patients' well-being and consequent effect on a cost–effectiveness analysis, J Clin Epidemiol 45 (1992), pp. 505–512 [1588356]. Article |
31 R.A. Hirth, M.E. Chernew, E. Miller, A.M. Fendrick and W.G. Weissert, Willingness to pay for a quality-adjusted life year: in search of a standard, Med Decis Making 20 (2000), pp. 332–342 [10929856]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (291)
32 Y.C. Shih and M.T. Halpern, Economic evaluations of medical care interventions for cancer patients: how, why, and what does it mean?, CA Cancer J Clin 58 (2008), pp. 231–244 [18596196]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (18)
33 E. Nadler, B. Eckert and P.J. Neumann, Do oncologists believe new cancer drugs offer good value?, Oncologist 11 (2006), pp. 90–95 [16476830]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (50)
34 R.S. Braithwaite, D.O. Meltzer, J.T. King Jr, D. Leslie and M.S. Roberts, What does the value of modern medicine say about the $50,000 per quality-adjusted life-year decision rule?, Med Care 46 (2008), pp. 349–356 [18362813]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (64)
35 National Institutes of Health Consensus Development Panel, 1997 Consensus Statement: Breast Cancer Screening for Women Ages 40–49 http://consensus.nih.gov/1997/1997BreastCancerScreening103html.htm Accessed October 13, 2007.
36 P. Salzmann, K. Kerlikowske and K. Phillips, Cost–effectiveness of extending screening mammography guidelines to include women 40 to 49 years of age, Ann Intern Med 127 (1997), pp. 955–965 [9412300]. View Record in Scopus | Cited By in Scopus (169)
37 Y.C. Shih, S. Han and S.B. Cantor, Impact of generic drug entry on cost–effectiveness analysis, Med Decis Making 25 (2005), pp. 71–80 [15673583]. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (6)
38 F. Roila, P.J. Hesketh, J. Herrstedt and Antiemetic Subcommittee of the Multinational Association of Supportive Care in Cancer, Prevention of chemotherapy- and radiotherapy-induced emesis: results of the 2004 Perugia International Antiemetic Consensus Conference, Ann Oncol 17 (2006), pp. 20–28 [16314401]. View Record in Scopus | Cited By in Scopus (90)
39 S.M. Grunberg and A. Ireland, Epidemiology of chemotherapy-induced nausea and vomiting, Adv Studies Nurs 3 (1) (2005), pp. 9–15 http://www.jhasin.com/files/articlefiles/pdf/XASIN_3_1_p9_15.pdf Accessed September 16, 2010.
40 T. Grote, J. Hajdenberg, A. Cartmell, S. Ferguson, A. Ginkel and V. Charu, Combination therapy for chemotherapy-induced nausea and vomiting in patients receiving moderately emetogenic chemotherapy: palonosetron, dexamethasone, and aprepitant, J Support Oncol 4 (2006), pp. 403–408 [17004515]. View Record in Scopus | Cited By in Scopus (38)
41 S.M. Grunberg, M. Dugan, H.B. Muss, M. Wood, S. Burdette-Radoux and T. Weisberg, Efficacy of a 1-day 3-drug antiemetic regimen for prevention of acute and delayed nausea and vomiting induced by moderately emetogenic chemotherapy, J Clin Oncol 25 (18S) (2007), p. 9111.
42 U. S. Department of Labor. Bureau of Labor Statistics. Consumer Price Index http://www.bls.gov/cpi/home.htm Accessed May 16, 2010.
43 Department of Health and Human Services. Centers for Medicare & Medicaid Services, Medicare Program; Proposed Changes to the Hospital Inpatient Prospective Payment Systems and Fiscal Year 2008 Rates CMS-1533-P, pp 1070–1073 http://www.cms.hhs.gov/AcuteInpatientPPS/downloads/CMS-1533-P.pdf Accessed May 16, 2010.
Conflicts of interest: Dr. Sun discloses that her husband was an employee of MGI Pharma, Inc., at the time this article was being written. Dr. Gralla discloses that he is a consultant for MGI Pharma, Inc., GlaxoSmithKline, Sanofi-aventis, and Merck; he also receives honoraria from MGI Pharma, Inc., and Merck and research support from Sanofi-aventis. Dr. Grunberg discloses that he is a consultant for MGI Pharma, Inc.
The Journal of Supportive Oncology
Volume 8, Issue 6, November-December 2010, Pages 242-25
Retrospective analysis of communication with patients undergoing radiological breast biopsy
Following a diagnostic or screening mammogram, patients with breast lesions are often referred for a biopsy.1 Time between the procedure and the notification of results is anxiety-provoking as women wait to find out if the lesion is malignant or benign.2
The preferences of women in this scenario regarding the method of communication and the provider who gives results are unknown. Providers try to balance different priorities: getting the information to the woman quickly,[3], [4] and [5] providing as much information as possible,[3], [4], [5], [6] and [7] having the person who talks to the woman be someone they know and trust,8 and giving the information in person rather than on the phone.3 One may not be able to maximize all of the competing variables. If the sole priority is speed, then one would develop a system where the radiologist or nurse calls as soon as the biopsy result comes back; if complete information is most important, having someone from an oncologist's office call about positive results may be best. The problem is that there is a lack of published data on women's preferences, leading different programs to be based on assumptions rather than evidence.
Complicating this problem is that women likely have different preferences when the results are benign versus when they are malignant. To our knowledge, the communication preferences of these two groups of patients have never been compared. With evidence-based data about what women prefer, programs can develop more patient-centered programs to communicate biopsy results.
The goal of this study was to ascertain how women who have had a breast biopsy prefer to receive their test results. We also wanted to determine their satisfaction with the way they did receive their biopsy results at our cancer center and whether satisfaction differed based on patient age, race, or biopsy results. It is hoped that these data will help other programs develop communication policies.
Materials and Methods
Study Setting and Patient Recruitment
This study was based on a telephone survey of all radiologic breast biopsy patients seen at a large urban academic breast center between June 1, 2008, and July 31, 2008. The study was approved by the University of Pittsburgh Institutional Review Board. Study participants were adult females receiving a minimally invasive radiologic breast biopsy who spoke English and had a working phone. All patients fitting the inclusion criteria were approached before their procedure and given the option to participate in the study.
The center performed over 3,500 breast biopsies in 2009. At the center, two nurses gave results to an average of 30 patients a day. In addition to making calls, the nurses are responsible for admitting and discharging patients and work on rotation in order to call patients they have personally met. They make notes in patients' charts about their demeanor and concerns to help them tailor the phone calls to the patients' personalities. When patients leave after the biopsy, the nurses discuss the results call and ask the patients if they would prefer the nurse to call them or if they would like to call the nurse on their own time. No option is available for an in-person results visit except by the physician ordering the biopsy.
Study participants received biopsy results within 4 business days. Information about positive and negative results is communicated in different ways. While all results are faxed to the referring physician, positive results have a cover sheet indicating the urgency of the information. If results are positive or require further surgical biopsy, the nurses call in a room with a closed door and a “do not disturb” sign, to minimize interruptions. Nurses provide information using a standardized script that describes the result and their implications. Patients with a malignant biopsy are given a phone number to make a breast magnetic resonance imaging appointment. They are also told that they need to make a surgical appointment, but the choice of surgeon is left up to the patient and the referring physician. Patients are given time to ask questions and the direct phone number if they wish to speak to the nurse again.
Phone Survey Procedure
Two weeks were allotted between receipt of results and the study interview to allow time for patients to understand their diagnosis and seek follow-up care as necessary. After the 2-week waiting period, a study staff member contacted patients by telephone. Calls were conducted in the order in which patients received their results, and four attempts were made to call each participant, with a message left each time.
Study Survey
The phone survey consisted of four sections: an informational section, which collected data about how the patient received the results; a communication skills section, which assessed patient impressions of the person giving results; an improvement section, which assessed patient views about how to improve the communication of results; and finally, a communication priorities section, which assessed the relative importance of four distinct aspects of communication (Table 1). In addition, patients were asked “What did you like best about how you were told your results?” and “What can we do to make the process of giving results better?” The communication skills and improvement sections were scored on a five-point Likert scale, and the communication priorities section was scored on a rank scale from most to least important. (The survey is available on request.) Demographic information as well as the number of previous biopsies the woman had were also collected.
Receiving the results of the biopsy as soon as possible |
Being told by a person who knows the most about what the results mean |
Being told the results in person |
Being told by your primary care provider |
Statistical Analysis
Survey statistics were analyzed using IBM SPSS Statistics software (SPSS, Inc., Chicago, IL). A one-sample Kolmogorov-Smirnov test was used to test variable normality. As all Likert-scaled survey variables were not normally distributed, a Mann-Whitney U-test was used to compare Likert scores between cancer and benign groups as well as first-time biopsy and repeat biopsy groups. Ordinal regression was used to evaluate the effects of age on Likert-scaled variables.
Results
We screened 133 patients, and of these, 131 patients consented to participate in the study. Of these, 64 could not be reached during follow-up and one patient withdrew from the study, for a total of 66 patients completing the study. The overall response rate was 50.4%. Of the patients who completed the telephone interview, 39 had benign biopsies and 27 had cancer. Of the patients who did not complete the survey, 10 had cancer and 55 were benign (P = 0.004). Other demographic data from the survey cohort are illustrated in Table 2. As the vast majority of patients were white, a comparison between different races could not be performed. Age did not have any significant effect on any of study variables.
Communication Interactions
Of all patients in the study, 53 (80.3%) were contacted by a nurse from the breast center. The other patients were contacted by their primary care provider first (n = 5) or a radiologist (n = 3) or did not know who they were contacted by (n = 5). Forty-one patients (62.1%) recalled meeting the provider they spoke with, while 15 patients reported they did not meet the person who contacted them and 10 were not sure. Sixty-three patients (95.5%) were told their results over the phone, two were told in person, and one person did not respond.
Communication Skills
Mean Likert scales are reported in Table 3. There were no significant differences in the patients' assessments based on demographic or clinical variables. Overall, patients rated the communication skills of the person who gave their results very positively.
SURVEY ITEM | MEAN LIKERT SCORE | STANDARD DEVIATION | % OF PATIENTS REPORTING “AGREE” OR “STRONGLY AGREE” |
---|---|---|---|
You were given the diagnosis in a timely fashion | 4.35 | 0.76 | 93.2% |
The person who gave you the diagnosis was considerate and tactful | 4.60 | 0.63 | 93.2% |
The person who told you the diagnosis was honest | 4.46 | 0.50 | 100% |
The person told you the results in a way you could understand | 4.31 | 0.77 | 94.9% |
The person who told you the results did not rush | 4.08 | 0.85 | 86.4% |
The person who told you the results gave you the opportunity to ask questions | 4.13 | 0.77 | 87.9% |
The person who told you the results was sensitive to your emotional reaction | 4.26 | 0.81 | 87.5% |
You were satisfied with hearing your results by the method you did (eg, over the phone) | 3.98 | 0.98 | 79.7% |
You were satisfied with hearing the results from the person you heard from | 4.11 | 0.95 | 86.4% |
Areas for Improvement
The proportions of patients responding “agree” or “strongly agree” to each item are reported in Figure 1 and are compared between several patient groups in Table 4. Patients were more likely to want additional materials to help them understand their diagnosis. This was significantly more common among patients having a first biopsy and patients who had cancer (P < 0.05). For example, 65.4% of cancer patients wanted more information versus 43.5% of benign patients. Also, 60.5% of patients having a first biopsy wanted additional information versus 37.0% of patients having a repeat biopsy. For all other items, less than 50% of patients answered “agree” or “strongly agree,” and there were no significant trends based on clinical or sociodemographic variables.
SURVEY ITEM | MEAN LIKERTa ± SD | P | MEAN LIKERTa ± SD | P | ||
---|---|---|---|---|---|---|
CANCER | BENIGN | FIRST BIOPSY | NOT FIRST BIOPSY | |||
You would have preferred additional materials to help you understand the diagnosis | 3.50 ± 0.99 | 2.82 ± 1.14 | 0.018![]() | 3.34 ± 1.05 | 2.74 ± 1.16 | 0.036![]() |
You would have preferred to talk to someone beforehand to discuss how much you wanted to know about your results | 2.78 ± 1.09 | 2.77 ± 1.16 | 0.977 | 2.97 ± 1.08 | 2.50 ± 1.13 | 0.068 |
You would have preferred more assistance making follow-up appointments | 2.19 ± 0.62 | 2.58 ± 1.22 | 0.370 | 2.57 ± 1.02 | 2.21 ± 1.03 | 0.088 |
You would have preferred to choose who gave you the results | 2.54 ± 1.07 | 2.54 ± 1.07 | 0.896 | 2.55 ± 1.00 | 2.46 ± 1.07 | 0.618 |
You would have preferred to receive the results faster | 2.85 ± 1.20 | 2.85 ± 1.20 | 0.428 | 3.00 ± 1.27 | 2.86 ± 1.17 | 0.638 |

a 1, strongly disagree; 2, disagree; 3, neutral; 4, agree; 5, strongly agree
Patient Priorities for Receiving Biopsy Results
For patients with benign and those with malignant disease, receiving results quickly was the most important factor, followed by being told by a person who knows the most about what the results mean (Figure 2). Hearing from a primary care provider and hearing in person were of much lower priority. Cancer patients ranked “Being told by a person who knows the most about what the results mean” significantly higher in priority than benign patients (P < 0.05).
Discussion
In our study population of women who had a breast biopsy, the number one priority was receiving the results as soon as possible. We found that women were generally satisfied with learning about their results from a nurse over the phone. However, a majority of patients said they would prefer additional materials to help them understand their diagnosis. This trend was more pronounced in women with cancer or those for whom this was the first biopsy. Previous literature has shown that both doctors and patients agree that potentially bad news should be given in a quiet, uninterrupted, face-to-face conversation3 and that it should be given by a provider they know well.8 However, it has also been suggested that many women want to hear test results as quickly as possible, even if that means they will receive them from a provider they do not know well.[3], [4] and [5] This study is unique in that it forced women to choose which of these aspects of communication were most important as we believe that rapid results and hearing in person are often mutually exclusive. Women in this study clearly preferred to hear quickly more than in person, whether they were given a diagnosis of cancer or not.
Some studies suggest that providing written information along with verbal communication would be beneficial. For example, in a 2004 study by Lobb et al,9 genetic counselors who added a summary letter after communicating breast cancer risks to a patient significantly increased realistic risk assessments in patients, as well as lowering anxiety. Our study found that women would prefer additional materials. Since most communication in this study was over the phone, women may not have had time to fully process all the information given and therefore wanted information supplements as well. In women with cancer or those receiving a first biopsy, information and follow-up instructions are even more complex or overwhelming; and it follows that they are more likely to want informational materials than other patients.
As expected, patients who are diagnosed with cancer want to talk to someone with more knowledge of their specific condition. While patients in this study were not asked specifically about the apparent knowledge base of the nurse who gave results, their overall satisfaction (86.4%) seems to suggest that our system with specific scripts for each diagnosis was adequate.
This study is limited in several ways. First, as a single-center satisfaction study, we are only measuring the experience of patients with a particular system of communication. While these data reflect the general system in place at the breast center, they are also contingent on the specific providers communicating with patients. However, we do believe our results are reproducible at other centers as scripts are often used for sharing patient results. This also means that these data are a reflection of a population that was contacted by telephone. We cannot make any assumptions about how these preferences may differ from those of patients contacted in person. Second, only general data were gathered about the interaction of the nurse with each woman. It is not known what was specifically said to each patient, so we can only report the patient's view of the discussion. However, since responses are scripted at the breast center, we assume that the communication was relatively standardized for all conversations. Third, patients in the study were more likely to have a cancer diagnosis than the total population of biopsy patients. This may represent a greater commitment by cancer patients to aid in the improvement of communication. It also may indicate that women with a benign biopsy were less opinionated about their communication in general and less likely to want to express their opinions in the study.
In conclusion, patients generally prefer to hear breast biopsy results quickly over other factors, including hearing in person or from a more experienced practitioner. Therefore, a program similar to the one at our center meets most patient needs; it minimizes wait time by calling patients as soon as biopsy results are in, utilizes nurses to facilitate the large amount of calls that must be made every day, and ensures patients are contacted by a provider they personally met during their biopsy. A majority of patients desired additional materials to supplement phone communication. We highly recommend providing a variety of materials, including both written and Web-based, to address this need. Further research is necessary to determine the effects of these interventions on patient understanding and long-term emotional outcomes.
1 A.J. Doyle, K.A. Murray, E.W. Nelson and D.G. Bragg, Selective use of image-guided large-core needle biopsy of the breast: accuracy and cost-effectiveness, Am J Roentgenol 165 (1995), pp. 281–284. View Record in Scopus | Cited By in Scopus (59)
2 J.R. Maxwell, M.E. Bugbee and D. Wellisch et al., Imaging-guided core needle biopsy of the breast: study of psychological outcomes, Breast J 1 (2000), pp. 53–61. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (24)
3 A. Girgis, R.W. Sanson-Fisher and M.J. Schofield, Is there consensus between breast cancer patients and providers on guidelines for breaking bad news?, Behav Med 25 (1999), pp. 69–77. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (44)
4 S. Liu, L.W. Bassett and J. Sayre, Women's attitudes about receiving mammographic results directly from radiologists, Radiology 193 (1994), pp. 783–786. View Record in Scopus | Cited By in Scopus (26)
5 S.R. Vallely and J.O. Manton Mills, Should radiologists talk to patients?, Br Med J 300 (1990), pp. 305–306. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (16)
6 J. Graydon, S. Galloway and S. Palmer-Wickham et al., Information needs of women during early treatment for breast cancer, J Adv Nurs Sci 26 (1997), pp. 59–64. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (90)
7 M. Cawley, J. Kostic and C. Cappello, Informational and psychological needs of women choosing conservative surgery/primary radiation for early stage breast cancer, Cancer Nurs 13 (1990), pp. 90–94. View Record in Scopus | Cited By in Scopus (41)
8 G.L. Krahn, A. Hallum and C. Kime, Are there good ways to give “bad news”?, Pediatrics 91 (1993), pp. 578–582. View Record in Scopus | Cited By in Scopus (57)
9 E.A. Lobb, P.N. Butow and A. Barratt et al., Communication and information-giving in high-risk breast cancer consultations: influence on patient outcomes, Br J Cancer 90 (2004), pp. 321–327. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (54)
Following a diagnostic or screening mammogram, patients with breast lesions are often referred for a biopsy.1 Time between the procedure and the notification of results is anxiety-provoking as women wait to find out if the lesion is malignant or benign.2
The preferences of women in this scenario regarding the method of communication and the provider who gives results are unknown. Providers try to balance different priorities: getting the information to the woman quickly,[3], [4] and [5] providing as much information as possible,[3], [4], [5], [6] and [7] having the person who talks to the woman be someone they know and trust,8 and giving the information in person rather than on the phone.3 One may not be able to maximize all of the competing variables. If the sole priority is speed, then one would develop a system where the radiologist or nurse calls as soon as the biopsy result comes back; if complete information is most important, having someone from an oncologist's office call about positive results may be best. The problem is that there is a lack of published data on women's preferences, leading different programs to be based on assumptions rather than evidence.
Complicating this problem is that women likely have different preferences when the results are benign versus when they are malignant. To our knowledge, the communication preferences of these two groups of patients have never been compared. With evidence-based data about what women prefer, programs can develop more patient-centered programs to communicate biopsy results.
The goal of this study was to ascertain how women who have had a breast biopsy prefer to receive their test results. We also wanted to determine their satisfaction with the way they did receive their biopsy results at our cancer center and whether satisfaction differed based on patient age, race, or biopsy results. It is hoped that these data will help other programs develop communication policies.
Materials and Methods
Study Setting and Patient Recruitment
This study was based on a telephone survey of all radiologic breast biopsy patients seen at a large urban academic breast center between June 1, 2008, and July 31, 2008. The study was approved by the University of Pittsburgh Institutional Review Board. Study participants were adult females receiving a minimally invasive radiologic breast biopsy who spoke English and had a working phone. All patients fitting the inclusion criteria were approached before their procedure and given the option to participate in the study.
The center performed over 3,500 breast biopsies in 2009. At the center, two nurses gave results to an average of 30 patients a day. In addition to making calls, the nurses are responsible for admitting and discharging patients and work on rotation in order to call patients they have personally met. They make notes in patients' charts about their demeanor and concerns to help them tailor the phone calls to the patients' personalities. When patients leave after the biopsy, the nurses discuss the results call and ask the patients if they would prefer the nurse to call them or if they would like to call the nurse on their own time. No option is available for an in-person results visit except by the physician ordering the biopsy.
Study participants received biopsy results within 4 business days. Information about positive and negative results is communicated in different ways. While all results are faxed to the referring physician, positive results have a cover sheet indicating the urgency of the information. If results are positive or require further surgical biopsy, the nurses call in a room with a closed door and a “do not disturb” sign, to minimize interruptions. Nurses provide information using a standardized script that describes the result and their implications. Patients with a malignant biopsy are given a phone number to make a breast magnetic resonance imaging appointment. They are also told that they need to make a surgical appointment, but the choice of surgeon is left up to the patient and the referring physician. Patients are given time to ask questions and the direct phone number if they wish to speak to the nurse again.
Phone Survey Procedure
Two weeks were allotted between receipt of results and the study interview to allow time for patients to understand their diagnosis and seek follow-up care as necessary. After the 2-week waiting period, a study staff member contacted patients by telephone. Calls were conducted in the order in which patients received their results, and four attempts were made to call each participant, with a message left each time.
Study Survey
The phone survey consisted of four sections: an informational section, which collected data about how the patient received the results; a communication skills section, which assessed patient impressions of the person giving results; an improvement section, which assessed patient views about how to improve the communication of results; and finally, a communication priorities section, which assessed the relative importance of four distinct aspects of communication (Table 1). In addition, patients were asked “What did you like best about how you were told your results?” and “What can we do to make the process of giving results better?” The communication skills and improvement sections were scored on a five-point Likert scale, and the communication priorities section was scored on a rank scale from most to least important. (The survey is available on request.) Demographic information as well as the number of previous biopsies the woman had were also collected.
Receiving the results of the biopsy as soon as possible |
Being told by a person who knows the most about what the results mean |
Being told the results in person |
Being told by your primary care provider |
Statistical Analysis
Survey statistics were analyzed using IBM SPSS Statistics software (SPSS, Inc., Chicago, IL). A one-sample Kolmogorov-Smirnov test was used to test variable normality. As all Likert-scaled survey variables were not normally distributed, a Mann-Whitney U-test was used to compare Likert scores between cancer and benign groups as well as first-time biopsy and repeat biopsy groups. Ordinal regression was used to evaluate the effects of age on Likert-scaled variables.
Results
We screened 133 patients, and of these, 131 patients consented to participate in the study. Of these, 64 could not be reached during follow-up and one patient withdrew from the study, for a total of 66 patients completing the study. The overall response rate was 50.4%. Of the patients who completed the telephone interview, 39 had benign biopsies and 27 had cancer. Of the patients who did not complete the survey, 10 had cancer and 55 were benign (P = 0.004). Other demographic data from the survey cohort are illustrated in Table 2. As the vast majority of patients were white, a comparison between different races could not be performed. Age did not have any significant effect on any of study variables.
Communication Interactions
Of all patients in the study, 53 (80.3%) were contacted by a nurse from the breast center. The other patients were contacted by their primary care provider first (n = 5) or a radiologist (n = 3) or did not know who they were contacted by (n = 5). Forty-one patients (62.1%) recalled meeting the provider they spoke with, while 15 patients reported they did not meet the person who contacted them and 10 were not sure. Sixty-three patients (95.5%) were told their results over the phone, two were told in person, and one person did not respond.
Communication Skills
Mean Likert scales are reported in Table 3. There were no significant differences in the patients' assessments based on demographic or clinical variables. Overall, patients rated the communication skills of the person who gave their results very positively.
SURVEY ITEM | MEAN LIKERT SCORE | STANDARD DEVIATION | % OF PATIENTS REPORTING “AGREE” OR “STRONGLY AGREE” |
---|---|---|---|
You were given the diagnosis in a timely fashion | 4.35 | 0.76 | 93.2% |
The person who gave you the diagnosis was considerate and tactful | 4.60 | 0.63 | 93.2% |
The person who told you the diagnosis was honest | 4.46 | 0.50 | 100% |
The person told you the results in a way you could understand | 4.31 | 0.77 | 94.9% |
The person who told you the results did not rush | 4.08 | 0.85 | 86.4% |
The person who told you the results gave you the opportunity to ask questions | 4.13 | 0.77 | 87.9% |
The person who told you the results was sensitive to your emotional reaction | 4.26 | 0.81 | 87.5% |
You were satisfied with hearing your results by the method you did (eg, over the phone) | 3.98 | 0.98 | 79.7% |
You were satisfied with hearing the results from the person you heard from | 4.11 | 0.95 | 86.4% |
Areas for Improvement
The proportions of patients responding “agree” or “strongly agree” to each item are reported in Figure 1 and are compared between several patient groups in Table 4. Patients were more likely to want additional materials to help them understand their diagnosis. This was significantly more common among patients having a first biopsy and patients who had cancer (P < 0.05). For example, 65.4% of cancer patients wanted more information versus 43.5% of benign patients. Also, 60.5% of patients having a first biopsy wanted additional information versus 37.0% of patients having a repeat biopsy. For all other items, less than 50% of patients answered “agree” or “strongly agree,” and there were no significant trends based on clinical or sociodemographic variables.
SURVEY ITEM | MEAN LIKERTa ± SD | P | MEAN LIKERTa ± SD | P | ||
---|---|---|---|---|---|---|
CANCER | BENIGN | FIRST BIOPSY | NOT FIRST BIOPSY | |||
You would have preferred additional materials to help you understand the diagnosis | 3.50 ± 0.99 | 2.82 ± 1.14 | 0.018![]() | 3.34 ± 1.05 | 2.74 ± 1.16 | 0.036![]() |
You would have preferred to talk to someone beforehand to discuss how much you wanted to know about your results | 2.78 ± 1.09 | 2.77 ± 1.16 | 0.977 | 2.97 ± 1.08 | 2.50 ± 1.13 | 0.068 |
You would have preferred more assistance making follow-up appointments | 2.19 ± 0.62 | 2.58 ± 1.22 | 0.370 | 2.57 ± 1.02 | 2.21 ± 1.03 | 0.088 |
You would have preferred to choose who gave you the results | 2.54 ± 1.07 | 2.54 ± 1.07 | 0.896 | 2.55 ± 1.00 | 2.46 ± 1.07 | 0.618 |
You would have preferred to receive the results faster | 2.85 ± 1.20 | 2.85 ± 1.20 | 0.428 | 3.00 ± 1.27 | 2.86 ± 1.17 | 0.638 |

a 1, strongly disagree; 2, disagree; 3, neutral; 4, agree; 5, strongly agree
Patient Priorities for Receiving Biopsy Results
For patients with benign and those with malignant disease, receiving results quickly was the most important factor, followed by being told by a person who knows the most about what the results mean (Figure 2). Hearing from a primary care provider and hearing in person were of much lower priority. Cancer patients ranked “Being told by a person who knows the most about what the results mean” significantly higher in priority than benign patients (P < 0.05).
Discussion
In our study population of women who had a breast biopsy, the number one priority was receiving the results as soon as possible. We found that women were generally satisfied with learning about their results from a nurse over the phone. However, a majority of patients said they would prefer additional materials to help them understand their diagnosis. This trend was more pronounced in women with cancer or those for whom this was the first biopsy. Previous literature has shown that both doctors and patients agree that potentially bad news should be given in a quiet, uninterrupted, face-to-face conversation3 and that it should be given by a provider they know well.8 However, it has also been suggested that many women want to hear test results as quickly as possible, even if that means they will receive them from a provider they do not know well.[3], [4] and [5] This study is unique in that it forced women to choose which of these aspects of communication were most important as we believe that rapid results and hearing in person are often mutually exclusive. Women in this study clearly preferred to hear quickly more than in person, whether they were given a diagnosis of cancer or not.
Some studies suggest that providing written information along with verbal communication would be beneficial. For example, in a 2004 study by Lobb et al,9 genetic counselors who added a summary letter after communicating breast cancer risks to a patient significantly increased realistic risk assessments in patients, as well as lowering anxiety. Our study found that women would prefer additional materials. Since most communication in this study was over the phone, women may not have had time to fully process all the information given and therefore wanted information supplements as well. In women with cancer or those receiving a first biopsy, information and follow-up instructions are even more complex or overwhelming; and it follows that they are more likely to want informational materials than other patients.
As expected, patients who are diagnosed with cancer want to talk to someone with more knowledge of their specific condition. While patients in this study were not asked specifically about the apparent knowledge base of the nurse who gave results, their overall satisfaction (86.4%) seems to suggest that our system with specific scripts for each diagnosis was adequate.
This study is limited in several ways. First, as a single-center satisfaction study, we are only measuring the experience of patients with a particular system of communication. While these data reflect the general system in place at the breast center, they are also contingent on the specific providers communicating with patients. However, we do believe our results are reproducible at other centers as scripts are often used for sharing patient results. This also means that these data are a reflection of a population that was contacted by telephone. We cannot make any assumptions about how these preferences may differ from those of patients contacted in person. Second, only general data were gathered about the interaction of the nurse with each woman. It is not known what was specifically said to each patient, so we can only report the patient's view of the discussion. However, since responses are scripted at the breast center, we assume that the communication was relatively standardized for all conversations. Third, patients in the study were more likely to have a cancer diagnosis than the total population of biopsy patients. This may represent a greater commitment by cancer patients to aid in the improvement of communication. It also may indicate that women with a benign biopsy were less opinionated about their communication in general and less likely to want to express their opinions in the study.
In conclusion, patients generally prefer to hear breast biopsy results quickly over other factors, including hearing in person or from a more experienced practitioner. Therefore, a program similar to the one at our center meets most patient needs; it minimizes wait time by calling patients as soon as biopsy results are in, utilizes nurses to facilitate the large amount of calls that must be made every day, and ensures patients are contacted by a provider they personally met during their biopsy. A majority of patients desired additional materials to supplement phone communication. We highly recommend providing a variety of materials, including both written and Web-based, to address this need. Further research is necessary to determine the effects of these interventions on patient understanding and long-term emotional outcomes.
Following a diagnostic or screening mammogram, patients with breast lesions are often referred for a biopsy.1 Time between the procedure and the notification of results is anxiety-provoking as women wait to find out if the lesion is malignant or benign.2
The preferences of women in this scenario regarding the method of communication and the provider who gives results are unknown. Providers try to balance different priorities: getting the information to the woman quickly,[3], [4] and [5] providing as much information as possible,[3], [4], [5], [6] and [7] having the person who talks to the woman be someone they know and trust,8 and giving the information in person rather than on the phone.3 One may not be able to maximize all of the competing variables. If the sole priority is speed, then one would develop a system where the radiologist or nurse calls as soon as the biopsy result comes back; if complete information is most important, having someone from an oncologist's office call about positive results may be best. The problem is that there is a lack of published data on women's preferences, leading different programs to be based on assumptions rather than evidence.
Complicating this problem is that women likely have different preferences when the results are benign versus when they are malignant. To our knowledge, the communication preferences of these two groups of patients have never been compared. With evidence-based data about what women prefer, programs can develop more patient-centered programs to communicate biopsy results.
The goal of this study was to ascertain how women who have had a breast biopsy prefer to receive their test results. We also wanted to determine their satisfaction with the way they did receive their biopsy results at our cancer center and whether satisfaction differed based on patient age, race, or biopsy results. It is hoped that these data will help other programs develop communication policies.
Materials and Methods
Study Setting and Patient Recruitment
This study was based on a telephone survey of all radiologic breast biopsy patients seen at a large urban academic breast center between June 1, 2008, and July 31, 2008. The study was approved by the University of Pittsburgh Institutional Review Board. Study participants were adult females receiving a minimally invasive radiologic breast biopsy who spoke English and had a working phone. All patients fitting the inclusion criteria were approached before their procedure and given the option to participate in the study.
The center performed over 3,500 breast biopsies in 2009. At the center, two nurses gave results to an average of 30 patients a day. In addition to making calls, the nurses are responsible for admitting and discharging patients and work on rotation in order to call patients they have personally met. They make notes in patients' charts about their demeanor and concerns to help them tailor the phone calls to the patients' personalities. When patients leave after the biopsy, the nurses discuss the results call and ask the patients if they would prefer the nurse to call them or if they would like to call the nurse on their own time. No option is available for an in-person results visit except by the physician ordering the biopsy.
Study participants received biopsy results within 4 business days. Information about positive and negative results is communicated in different ways. While all results are faxed to the referring physician, positive results have a cover sheet indicating the urgency of the information. If results are positive or require further surgical biopsy, the nurses call in a room with a closed door and a “do not disturb” sign, to minimize interruptions. Nurses provide information using a standardized script that describes the result and their implications. Patients with a malignant biopsy are given a phone number to make a breast magnetic resonance imaging appointment. They are also told that they need to make a surgical appointment, but the choice of surgeon is left up to the patient and the referring physician. Patients are given time to ask questions and the direct phone number if they wish to speak to the nurse again.
Phone Survey Procedure
Two weeks were allotted between receipt of results and the study interview to allow time for patients to understand their diagnosis and seek follow-up care as necessary. After the 2-week waiting period, a study staff member contacted patients by telephone. Calls were conducted in the order in which patients received their results, and four attempts were made to call each participant, with a message left each time.
Study Survey
The phone survey consisted of four sections: an informational section, which collected data about how the patient received the results; a communication skills section, which assessed patient impressions of the person giving results; an improvement section, which assessed patient views about how to improve the communication of results; and finally, a communication priorities section, which assessed the relative importance of four distinct aspects of communication (Table 1). In addition, patients were asked “What did you like best about how you were told your results?” and “What can we do to make the process of giving results better?” The communication skills and improvement sections were scored on a five-point Likert scale, and the communication priorities section was scored on a rank scale from most to least important. (The survey is available on request.) Demographic information as well as the number of previous biopsies the woman had were also collected.
Receiving the results of the biopsy as soon as possible |
Being told by a person who knows the most about what the results mean |
Being told the results in person |
Being told by your primary care provider |
Statistical Analysis
Survey statistics were analyzed using IBM SPSS Statistics software (SPSS, Inc., Chicago, IL). A one-sample Kolmogorov-Smirnov test was used to test variable normality. As all Likert-scaled survey variables were not normally distributed, a Mann-Whitney U-test was used to compare Likert scores between cancer and benign groups as well as first-time biopsy and repeat biopsy groups. Ordinal regression was used to evaluate the effects of age on Likert-scaled variables.
Results
We screened 133 patients, and of these, 131 patients consented to participate in the study. Of these, 64 could not be reached during follow-up and one patient withdrew from the study, for a total of 66 patients completing the study. The overall response rate was 50.4%. Of the patients who completed the telephone interview, 39 had benign biopsies and 27 had cancer. Of the patients who did not complete the survey, 10 had cancer and 55 were benign (P = 0.004). Other demographic data from the survey cohort are illustrated in Table 2. As the vast majority of patients were white, a comparison between different races could not be performed. Age did not have any significant effect on any of study variables.
Communication Interactions
Of all patients in the study, 53 (80.3%) were contacted by a nurse from the breast center. The other patients were contacted by their primary care provider first (n = 5) or a radiologist (n = 3) or did not know who they were contacted by (n = 5). Forty-one patients (62.1%) recalled meeting the provider they spoke with, while 15 patients reported they did not meet the person who contacted them and 10 were not sure. Sixty-three patients (95.5%) were told their results over the phone, two were told in person, and one person did not respond.
Communication Skills
Mean Likert scales are reported in Table 3. There were no significant differences in the patients' assessments based on demographic or clinical variables. Overall, patients rated the communication skills of the person who gave their results very positively.
SURVEY ITEM | MEAN LIKERT SCORE | STANDARD DEVIATION | % OF PATIENTS REPORTING “AGREE” OR “STRONGLY AGREE” |
---|---|---|---|
You were given the diagnosis in a timely fashion | 4.35 | 0.76 | 93.2% |
The person who gave you the diagnosis was considerate and tactful | 4.60 | 0.63 | 93.2% |
The person who told you the diagnosis was honest | 4.46 | 0.50 | 100% |
The person told you the results in a way you could understand | 4.31 | 0.77 | 94.9% |
The person who told you the results did not rush | 4.08 | 0.85 | 86.4% |
The person who told you the results gave you the opportunity to ask questions | 4.13 | 0.77 | 87.9% |
The person who told you the results was sensitive to your emotional reaction | 4.26 | 0.81 | 87.5% |
You were satisfied with hearing your results by the method you did (eg, over the phone) | 3.98 | 0.98 | 79.7% |
You were satisfied with hearing the results from the person you heard from | 4.11 | 0.95 | 86.4% |
Areas for Improvement
The proportions of patients responding “agree” or “strongly agree” to each item are reported in Figure 1 and are compared between several patient groups in Table 4. Patients were more likely to want additional materials to help them understand their diagnosis. This was significantly more common among patients having a first biopsy and patients who had cancer (P < 0.05). For example, 65.4% of cancer patients wanted more information versus 43.5% of benign patients. Also, 60.5% of patients having a first biopsy wanted additional information versus 37.0% of patients having a repeat biopsy. For all other items, less than 50% of patients answered “agree” or “strongly agree,” and there were no significant trends based on clinical or sociodemographic variables.
SURVEY ITEM | MEAN LIKERTa ± SD | P | MEAN LIKERTa ± SD | P | ||
---|---|---|---|---|---|---|
CANCER | BENIGN | FIRST BIOPSY | NOT FIRST BIOPSY | |||
You would have preferred additional materials to help you understand the diagnosis | 3.50 ± 0.99 | 2.82 ± 1.14 | 0.018![]() | 3.34 ± 1.05 | 2.74 ± 1.16 | 0.036![]() |
You would have preferred to talk to someone beforehand to discuss how much you wanted to know about your results | 2.78 ± 1.09 | 2.77 ± 1.16 | 0.977 | 2.97 ± 1.08 | 2.50 ± 1.13 | 0.068 |
You would have preferred more assistance making follow-up appointments | 2.19 ± 0.62 | 2.58 ± 1.22 | 0.370 | 2.57 ± 1.02 | 2.21 ± 1.03 | 0.088 |
You would have preferred to choose who gave you the results | 2.54 ± 1.07 | 2.54 ± 1.07 | 0.896 | 2.55 ± 1.00 | 2.46 ± 1.07 | 0.618 |
You would have preferred to receive the results faster | 2.85 ± 1.20 | 2.85 ± 1.20 | 0.428 | 3.00 ± 1.27 | 2.86 ± 1.17 | 0.638 |

a 1, strongly disagree; 2, disagree; 3, neutral; 4, agree; 5, strongly agree
Patient Priorities for Receiving Biopsy Results
For patients with benign and those with malignant disease, receiving results quickly was the most important factor, followed by being told by a person who knows the most about what the results mean (Figure 2). Hearing from a primary care provider and hearing in person were of much lower priority. Cancer patients ranked “Being told by a person who knows the most about what the results mean” significantly higher in priority than benign patients (P < 0.05).
Discussion
In our study population of women who had a breast biopsy, the number one priority was receiving the results as soon as possible. We found that women were generally satisfied with learning about their results from a nurse over the phone. However, a majority of patients said they would prefer additional materials to help them understand their diagnosis. This trend was more pronounced in women with cancer or those for whom this was the first biopsy. Previous literature has shown that both doctors and patients agree that potentially bad news should be given in a quiet, uninterrupted, face-to-face conversation3 and that it should be given by a provider they know well.8 However, it has also been suggested that many women want to hear test results as quickly as possible, even if that means they will receive them from a provider they do not know well.[3], [4] and [5] This study is unique in that it forced women to choose which of these aspects of communication were most important as we believe that rapid results and hearing in person are often mutually exclusive. Women in this study clearly preferred to hear quickly more than in person, whether they were given a diagnosis of cancer or not.
Some studies suggest that providing written information along with verbal communication would be beneficial. For example, in a 2004 study by Lobb et al,9 genetic counselors who added a summary letter after communicating breast cancer risks to a patient significantly increased realistic risk assessments in patients, as well as lowering anxiety. Our study found that women would prefer additional materials. Since most communication in this study was over the phone, women may not have had time to fully process all the information given and therefore wanted information supplements as well. In women with cancer or those receiving a first biopsy, information and follow-up instructions are even more complex or overwhelming; and it follows that they are more likely to want informational materials than other patients.
As expected, patients who are diagnosed with cancer want to talk to someone with more knowledge of their specific condition. While patients in this study were not asked specifically about the apparent knowledge base of the nurse who gave results, their overall satisfaction (86.4%) seems to suggest that our system with specific scripts for each diagnosis was adequate.
This study is limited in several ways. First, as a single-center satisfaction study, we are only measuring the experience of patients with a particular system of communication. While these data reflect the general system in place at the breast center, they are also contingent on the specific providers communicating with patients. However, we do believe our results are reproducible at other centers as scripts are often used for sharing patient results. This also means that these data are a reflection of a population that was contacted by telephone. We cannot make any assumptions about how these preferences may differ from those of patients contacted in person. Second, only general data were gathered about the interaction of the nurse with each woman. It is not known what was specifically said to each patient, so we can only report the patient's view of the discussion. However, since responses are scripted at the breast center, we assume that the communication was relatively standardized for all conversations. Third, patients in the study were more likely to have a cancer diagnosis than the total population of biopsy patients. This may represent a greater commitment by cancer patients to aid in the improvement of communication. It also may indicate that women with a benign biopsy were less opinionated about their communication in general and less likely to want to express their opinions in the study.
In conclusion, patients generally prefer to hear breast biopsy results quickly over other factors, including hearing in person or from a more experienced practitioner. Therefore, a program similar to the one at our center meets most patient needs; it minimizes wait time by calling patients as soon as biopsy results are in, utilizes nurses to facilitate the large amount of calls that must be made every day, and ensures patients are contacted by a provider they personally met during their biopsy. A majority of patients desired additional materials to supplement phone communication. We highly recommend providing a variety of materials, including both written and Web-based, to address this need. Further research is necessary to determine the effects of these interventions on patient understanding and long-term emotional outcomes.
1 A.J. Doyle, K.A. Murray, E.W. Nelson and D.G. Bragg, Selective use of image-guided large-core needle biopsy of the breast: accuracy and cost-effectiveness, Am J Roentgenol 165 (1995), pp. 281–284. View Record in Scopus | Cited By in Scopus (59)
2 J.R. Maxwell, M.E. Bugbee and D. Wellisch et al., Imaging-guided core needle biopsy of the breast: study of psychological outcomes, Breast J 1 (2000), pp. 53–61. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (24)
3 A. Girgis, R.W. Sanson-Fisher and M.J. Schofield, Is there consensus between breast cancer patients and providers on guidelines for breaking bad news?, Behav Med 25 (1999), pp. 69–77. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (44)
4 S. Liu, L.W. Bassett and J. Sayre, Women's attitudes about receiving mammographic results directly from radiologists, Radiology 193 (1994), pp. 783–786. View Record in Scopus | Cited By in Scopus (26)
5 S.R. Vallely and J.O. Manton Mills, Should radiologists talk to patients?, Br Med J 300 (1990), pp. 305–306. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (16)
6 J. Graydon, S. Galloway and S. Palmer-Wickham et al., Information needs of women during early treatment for breast cancer, J Adv Nurs Sci 26 (1997), pp. 59–64. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (90)
7 M. Cawley, J. Kostic and C. Cappello, Informational and psychological needs of women choosing conservative surgery/primary radiation for early stage breast cancer, Cancer Nurs 13 (1990), pp. 90–94. View Record in Scopus | Cited By in Scopus (41)
8 G.L. Krahn, A. Hallum and C. Kime, Are there good ways to give “bad news”?, Pediatrics 91 (1993), pp. 578–582. View Record in Scopus | Cited By in Scopus (57)
9 E.A. Lobb, P.N. Butow and A. Barratt et al., Communication and information-giving in high-risk breast cancer consultations: influence on patient outcomes, Br J Cancer 90 (2004), pp. 321–327. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (54)
1 A.J. Doyle, K.A. Murray, E.W. Nelson and D.G. Bragg, Selective use of image-guided large-core needle biopsy of the breast: accuracy and cost-effectiveness, Am J Roentgenol 165 (1995), pp. 281–284. View Record in Scopus | Cited By in Scopus (59)
2 J.R. Maxwell, M.E. Bugbee and D. Wellisch et al., Imaging-guided core needle biopsy of the breast: study of psychological outcomes, Breast J 1 (2000), pp. 53–61. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (24)
3 A. Girgis, R.W. Sanson-Fisher and M.J. Schofield, Is there consensus between breast cancer patients and providers on guidelines for breaking bad news?, Behav Med 25 (1999), pp. 69–77. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (44)
4 S. Liu, L.W. Bassett and J. Sayre, Women's attitudes about receiving mammographic results directly from radiologists, Radiology 193 (1994), pp. 783–786. View Record in Scopus | Cited By in Scopus (26)
5 S.R. Vallely and J.O. Manton Mills, Should radiologists talk to patients?, Br Med J 300 (1990), pp. 305–306. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (16)
6 J. Graydon, S. Galloway and S. Palmer-Wickham et al., Information needs of women during early treatment for breast cancer, J Adv Nurs Sci 26 (1997), pp. 59–64. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (90)
7 M. Cawley, J. Kostic and C. Cappello, Informational and psychological needs of women choosing conservative surgery/primary radiation for early stage breast cancer, Cancer Nurs 13 (1990), pp. 90–94. View Record in Scopus | Cited By in Scopus (41)
8 G.L. Krahn, A. Hallum and C. Kime, Are there good ways to give “bad news”?, Pediatrics 91 (1993), pp. 578–582. View Record in Scopus | Cited By in Scopus (57)
9 E.A. Lobb, P.N. Butow and A. Barratt et al., Communication and information-giving in high-risk breast cancer consultations: influence on patient outcomes, Br J Cancer 90 (2004), pp. 321–327. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (54)
Radiation After Lumpectomy Reduced Mortality, Recurrence Risk
Adding radiation therapy after lumpectomy reduced the risk of dying of recurrent breast cancer within 15 years by nearly 4%, Sarah C. Darby, Ph.D., reports.
Adding radiation therapy after lumpectomy reduced the risk of dying of recurrent breast cancer within 15 years by nearly 4%, Sarah C. Darby, Ph.D., reports.
Adding radiation therapy after lumpectomy reduced the risk of dying of recurrent breast cancer within 15 years by nearly 4%, Sarah C. Darby, Ph.D., reports.
Can nonhormonal treatments relieve hot flushes in breast Ca survivors?
A frequent challenge facing clinicians who manage breast cancer survivors is identifying treatment options to attenuate hot flushes and night sweats without resorting to estrogen, which is contraindicated because it can induce cancer growth.
Variables associated with a high prevalence of hot flushes in this population:
- age at diagnosis (>50 years)
- abrupt discontinuation of estrogen therapy at diagnosis
- induction of premature menopause by therapy (i.e., chemotherapy and surgical or medical ovarian ablation)
- induction of estrogen deficiency symptoms by chemotherapy (e.g., tamoxifen or an aromatase inhibitor).
There are no FDA-approved nonhormonal pharmaceutical options to alleviate bothersome hot flushes that accompany breast cancer treatment and the menopausal transition, whether spontaneous or induced. Moreover, meaningful guidance from published trials is limited by the small number of enrolled subjects and short duration of study (i.e., ≤12 weeks).
How hot flushes happen
According to Freedman, body temperature is regulated over a range called the thermo-neutral zone.1,2 Reduced or fluctuating ovarian hormones are believed to narrow the thermoregulatory zone such that variations in core body temperature trigger heat loss mechanisms. A narrowed thermoregulatory zone has been associated with increased norepinephrine.
Clonidine, an α-2 adrenergic agonist, decreases norepinephrine and has been found to reduce hot flushes. Other nonhormonal agents that have been found to be at least partially effective in reducing hot flushes include SSRI and SNRI antidepressants, which enhance central serotonin and norepinephrine activity. Gabapentin has also proved to be effective.
Potential adverse events or negative side effects, such as insomnia, weight gain, drowsiness, and sedation, need to be taken into account when evaluating the benefits of pharmaceutical options.
There are no FDA-approved nonhormonal therapies for hot-flush reduction in breast cancer survivors.
Potentially effective drug therapies include clonidine, SSRIs, SNRIs, and gabapentin. Benefits need to be weighed carefully against side effects, because the reduction in absolute hot flushes is only mild to moderate.
Nonpharmaceutical therapies that are not beneficial include homeopathy, magnet therapy, and acupuncture. However, more recent RCT data suggest that, in breast cancer patients, traditional acupuncture (and, in some studies, sham acupuncture) may, in fact, significantly reduce frequency of hot flushes, with a prolonged reduction at 3 to 6 months.3,4 Relaxation therapy has a modest benefit.
When a patient reports bothersome hot flushes, I recommend that she avoid overheating, use cooling techniques, and try relaxation therapy or acupuncture.
For medical therapy, I usually recommend venlafaxine or gabapentin, both of which have an effect on hot flushes within 2 weeks and both of which are associated with side effects. I start with 37.5 mg of venlafaxine, increasing to 75 mg after 2 weeks, if needed. If using gabapentin, I start with 300 mg, increasing to 600 mg at night and adding 300 mg in the morning or afternoon, if needed, aiming for 900 to 1,800 mg per day.
For vaginal dryness, I recommend vaginal moisturizers (used twice weekly) and lubricants (as needed) for sexual activity. The use of vaginal dilators or topical estrogen therapy is individualized.—JOANN V. PINKERTON, MD
We want to hear from you! Tell us what you think.
1. Freedman RR, Krell W. Reduced thermoregulatory null zone in postmenopausal women with hot flashes. Am J Obstet Gynecol. 1999;181(1):66-70.
2. Freedman RR. Core body temperature variation in symptomatic and asymptomatic postmenopausal women: brief report. Menopause. 2002;9(6):399-401.
3. Hervik J, Mialand O. Acupuncture for the treatment of hot flashes in breast cancer patients: a randomized, controlled trial. Breast Cancer Res Treat. 2009;116(2):311-316.
4. de Valois BA, Young TE, Robinson N, McCourt C, Maher EJ. Using traditional acupuncture for breast cancer-related hot flashes and night sweats. J Altern Complement Med. 2010;16(10):1047-1057.
A frequent challenge facing clinicians who manage breast cancer survivors is identifying treatment options to attenuate hot flushes and night sweats without resorting to estrogen, which is contraindicated because it can induce cancer growth.
Variables associated with a high prevalence of hot flushes in this population:
- age at diagnosis (>50 years)
- abrupt discontinuation of estrogen therapy at diagnosis
- induction of premature menopause by therapy (i.e., chemotherapy and surgical or medical ovarian ablation)
- induction of estrogen deficiency symptoms by chemotherapy (e.g., tamoxifen or an aromatase inhibitor).
There are no FDA-approved nonhormonal pharmaceutical options to alleviate bothersome hot flushes that accompany breast cancer treatment and the menopausal transition, whether spontaneous or induced. Moreover, meaningful guidance from published trials is limited by the small number of enrolled subjects and short duration of study (i.e., ≤12 weeks).
How hot flushes happen
According to Freedman, body temperature is regulated over a range called the thermo-neutral zone.1,2 Reduced or fluctuating ovarian hormones are believed to narrow the thermoregulatory zone such that variations in core body temperature trigger heat loss mechanisms. A narrowed thermoregulatory zone has been associated with increased norepinephrine.
Clonidine, an α-2 adrenergic agonist, decreases norepinephrine and has been found to reduce hot flushes. Other nonhormonal agents that have been found to be at least partially effective in reducing hot flushes include SSRI and SNRI antidepressants, which enhance central serotonin and norepinephrine activity. Gabapentin has also proved to be effective.
Potential adverse events or negative side effects, such as insomnia, weight gain, drowsiness, and sedation, need to be taken into account when evaluating the benefits of pharmaceutical options.
There are no FDA-approved nonhormonal therapies for hot-flush reduction in breast cancer survivors.
Potentially effective drug therapies include clonidine, SSRIs, SNRIs, and gabapentin. Benefits need to be weighed carefully against side effects, because the reduction in absolute hot flushes is only mild to moderate.
Nonpharmaceutical therapies that are not beneficial include homeopathy, magnet therapy, and acupuncture. However, more recent RCT data suggest that, in breast cancer patients, traditional acupuncture (and, in some studies, sham acupuncture) may, in fact, significantly reduce frequency of hot flushes, with a prolonged reduction at 3 to 6 months.3,4 Relaxation therapy has a modest benefit.
When a patient reports bothersome hot flushes, I recommend that she avoid overheating, use cooling techniques, and try relaxation therapy or acupuncture.
For medical therapy, I usually recommend venlafaxine or gabapentin, both of which have an effect on hot flushes within 2 weeks and both of which are associated with side effects. I start with 37.5 mg of venlafaxine, increasing to 75 mg after 2 weeks, if needed. If using gabapentin, I start with 300 mg, increasing to 600 mg at night and adding 300 mg in the morning or afternoon, if needed, aiming for 900 to 1,800 mg per day.
For vaginal dryness, I recommend vaginal moisturizers (used twice weekly) and lubricants (as needed) for sexual activity. The use of vaginal dilators or topical estrogen therapy is individualized.—JOANN V. PINKERTON, MD
We want to hear from you! Tell us what you think.
A frequent challenge facing clinicians who manage breast cancer survivors is identifying treatment options to attenuate hot flushes and night sweats without resorting to estrogen, which is contraindicated because it can induce cancer growth.
Variables associated with a high prevalence of hot flushes in this population:
- age at diagnosis (>50 years)
- abrupt discontinuation of estrogen therapy at diagnosis
- induction of premature menopause by therapy (i.e., chemotherapy and surgical or medical ovarian ablation)
- induction of estrogen deficiency symptoms by chemotherapy (e.g., tamoxifen or an aromatase inhibitor).
There are no FDA-approved nonhormonal pharmaceutical options to alleviate bothersome hot flushes that accompany breast cancer treatment and the menopausal transition, whether spontaneous or induced. Moreover, meaningful guidance from published trials is limited by the small number of enrolled subjects and short duration of study (i.e., ≤12 weeks).
How hot flushes happen
According to Freedman, body temperature is regulated over a range called the thermo-neutral zone.1,2 Reduced or fluctuating ovarian hormones are believed to narrow the thermoregulatory zone such that variations in core body temperature trigger heat loss mechanisms. A narrowed thermoregulatory zone has been associated with increased norepinephrine.
Clonidine, an α-2 adrenergic agonist, decreases norepinephrine and has been found to reduce hot flushes. Other nonhormonal agents that have been found to be at least partially effective in reducing hot flushes include SSRI and SNRI antidepressants, which enhance central serotonin and norepinephrine activity. Gabapentin has also proved to be effective.
Potential adverse events or negative side effects, such as insomnia, weight gain, drowsiness, and sedation, need to be taken into account when evaluating the benefits of pharmaceutical options.
There are no FDA-approved nonhormonal therapies for hot-flush reduction in breast cancer survivors.
Potentially effective drug therapies include clonidine, SSRIs, SNRIs, and gabapentin. Benefits need to be weighed carefully against side effects, because the reduction in absolute hot flushes is only mild to moderate.
Nonpharmaceutical therapies that are not beneficial include homeopathy, magnet therapy, and acupuncture. However, more recent RCT data suggest that, in breast cancer patients, traditional acupuncture (and, in some studies, sham acupuncture) may, in fact, significantly reduce frequency of hot flushes, with a prolonged reduction at 3 to 6 months.3,4 Relaxation therapy has a modest benefit.
When a patient reports bothersome hot flushes, I recommend that she avoid overheating, use cooling techniques, and try relaxation therapy or acupuncture.
For medical therapy, I usually recommend venlafaxine or gabapentin, both of which have an effect on hot flushes within 2 weeks and both of which are associated with side effects. I start with 37.5 mg of venlafaxine, increasing to 75 mg after 2 weeks, if needed. If using gabapentin, I start with 300 mg, increasing to 600 mg at night and adding 300 mg in the morning or afternoon, if needed, aiming for 900 to 1,800 mg per day.
For vaginal dryness, I recommend vaginal moisturizers (used twice weekly) and lubricants (as needed) for sexual activity. The use of vaginal dilators or topical estrogen therapy is individualized.—JOANN V. PINKERTON, MD
We want to hear from you! Tell us what you think.
1. Freedman RR, Krell W. Reduced thermoregulatory null zone in postmenopausal women with hot flashes. Am J Obstet Gynecol. 1999;181(1):66-70.
2. Freedman RR. Core body temperature variation in symptomatic and asymptomatic postmenopausal women: brief report. Menopause. 2002;9(6):399-401.
3. Hervik J, Mialand O. Acupuncture for the treatment of hot flashes in breast cancer patients: a randomized, controlled trial. Breast Cancer Res Treat. 2009;116(2):311-316.
4. de Valois BA, Young TE, Robinson N, McCourt C, Maher EJ. Using traditional acupuncture for breast cancer-related hot flashes and night sweats. J Altern Complement Med. 2010;16(10):1047-1057.
1. Freedman RR, Krell W. Reduced thermoregulatory null zone in postmenopausal women with hot flashes. Am J Obstet Gynecol. 1999;181(1):66-70.
2. Freedman RR. Core body temperature variation in symptomatic and asymptomatic postmenopausal women: brief report. Menopause. 2002;9(6):399-401.
3. Hervik J, Mialand O. Acupuncture for the treatment of hot flashes in breast cancer patients: a randomized, controlled trial. Breast Cancer Res Treat. 2009;116(2):311-316.
4. de Valois BA, Young TE, Robinson N, McCourt C, Maher EJ. Using traditional acupuncture for breast cancer-related hot flashes and night sweats. J Altern Complement Med. 2010;16(10):1047-1057.
Hope for Zoledronic Acid in Breast Cancer?
Updated results for the ABCSG Trial 12 continue to show disease-free and overall survival benefits 2 years after stopping adjuvant endocrine treatment with zoledronic acid, Dr. Michael Gnant explains.
Updated results for the ABCSG Trial 12 continue to show disease-free and overall survival benefits 2 years after stopping adjuvant endocrine treatment with zoledronic acid, Dr. Michael Gnant explains.
Updated results for the ABCSG Trial 12 continue to show disease-free and overall survival benefits 2 years after stopping adjuvant endocrine treatment with zoledronic acid, Dr. Michael Gnant explains.
Zoledronic Acid Fizzles for Breast Cancer
Half of Women Don't Get Regular Mammograms
Screening rates among fully insured women fall far short of guidelines, explains Dr. Milayna Subar, with half of women failing to get regular mammograms.
Screening rates among fully insured women fall far short of guidelines, explains Dr. Milayna Subar, with half of women failing to get regular mammograms.
Screening rates among fully insured women fall far short of guidelines, explains Dr. Milayna Subar, with half of women failing to get regular mammograms.