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Supreme Court receptive to case that could overturn Roe v. Wade
The justices heard from lawyers arguing for and against a 2018 Mississippi law that, with few exceptions, bans abortion after 15 weeks, claiming that a fetus is viable outside the womb at that age. The Supreme Court’s 1973 Roe v. Wade decision and legal rulings in the decades since, including the 1992 decision in Planned Parenthood v. Casey, have said that abortion should be available to the point of viability – established as about 23 weeks.
The court also ruled in Casey that state laws could not present an “undue burden” on a woman’s ability to obtain an abortion.
The Mississippi attorney general did not initially seek to overturn Roe and Casey, but later argued in Dobbs v. Jackson Women’s Health Organization that both cases were erroneously decided and should be completely thrown out.
“It is an egregiously wrong decision that has inflicted tremendous damage on our country and will continue to do so and take innumerable human lives unless and until this court overrules it,” said Scott G. Stewart, Mississippi’s solicitor general.
When it accepted the Mississippi case, the Supreme Court did not agree to weigh in on overturning Roe or Casey, but the justices’ leanings were evident during the hearing, and it is possible they would throw out those landmark cases.
Justice Clarence Thomas asked repeatedly for the law’s challengers to point out where the right to an abortion was written in the Constitution, as did Justice Samuel Alito.
“If we were talking about the Second Amendment, I know exactly what we’re talking about, if we’re talking about the Fourth Amendment, I know what we’re talking about, because it’s written, it’s there,” said Justice Thomas. “What specifically is the right here that we’re talking about?” he asked U.S. Solicitor General Elizabeth Prelogar.
She said the right to abortion was embedded in the 14th amendment’s guarantee of the pursuit of liberty.
“If this Court renounces the liberty interest recognized in Roe and reaffirmed in Casey, it would be an unprecedented contraction of individual rights,” and a departure from court doctrine of upholding precedent, known as stare decisis, she said.
Chief Justice John Roberts seemed to be against throwing out either of the landmark abortion cases, but instead wanted to focus on whether the 15 weeks was a reasonable time point. But he seemed to be alone in honing-in on that issue.
“Roberts seem desperate for some limiting principle that isn’t reversing Roe, and none of the other conservative justices are biting,” tweeted Mary Ziegler, a historian who has written about abortion.
But justices Neil Gorsuch, Amy Coney Barrett, and Brett Kavanaugh all appeared to be receptive to the idea that the prior precedent set by Roe and Casey could be overturned.
Neil Katyal, the former U.S. acting solicitor general and a Supreme Court lawyer, tweeted during the arguments that he saw “nothing so far sympathetic to the challengers. And a lot that has been very hostile.”
He cautioned that questions during oral arguments “often are just trying to understand a lawyer’s position,” adding, “But the tea leaves here are ominous.”
If Roe v. Wade is overturned, 22 states have laws already on the books that could be used to restrict abortion, according to the Guttmacher Institute. Almost all abortions would be banned in 12 states that have so-called “trigger” laws: Arkansas, Idaho, Kentucky, Louisiana, Mississippi, Missouri, North Dakota, Oklahoma, South Dakota, Tennessee, Texas, and Utah.
Seventeen states have abortion restrictions that have been unenforced or blocked by courts that would go back into effect if Roe is nullified. An additional seven states have laws that intend to restrict abortion in the absence of Roe and four states have passed constitutional amendments to specifically not protect the right to abortion.
Guttmacher reports that 15 states and the District of Columbia have passed laws that protect the right to abortion.
Jackson Women’s Health – the state’s sole abortion provider – sued to block the Mississippi law soon after it passed. A federal judge ruled against the state and that decision was upheld by the U.S. Fifth Circuit Court of Appeals, which also issued a permanent injunction against the law. The Supreme Court in May 2021 agreed to take Mississippi’s appeal.
Earlier in November, the Supreme Court heard arguments in two cases challenging a restrictive Texas law, Whole Woman’s Health v. Jackson and U.S. v. Texas. The justices seemed receptive to the idea that the law, SB 8, was unconstitutional. But the court did not grant a request by the Biden administration to halt the law while the challenges made their way through the courts.
A version of this article first appeared on WebMD.com.
The justices heard from lawyers arguing for and against a 2018 Mississippi law that, with few exceptions, bans abortion after 15 weeks, claiming that a fetus is viable outside the womb at that age. The Supreme Court’s 1973 Roe v. Wade decision and legal rulings in the decades since, including the 1992 decision in Planned Parenthood v. Casey, have said that abortion should be available to the point of viability – established as about 23 weeks.
The court also ruled in Casey that state laws could not present an “undue burden” on a woman’s ability to obtain an abortion.
The Mississippi attorney general did not initially seek to overturn Roe and Casey, but later argued in Dobbs v. Jackson Women’s Health Organization that both cases were erroneously decided and should be completely thrown out.
“It is an egregiously wrong decision that has inflicted tremendous damage on our country and will continue to do so and take innumerable human lives unless and until this court overrules it,” said Scott G. Stewart, Mississippi’s solicitor general.
When it accepted the Mississippi case, the Supreme Court did not agree to weigh in on overturning Roe or Casey, but the justices’ leanings were evident during the hearing, and it is possible they would throw out those landmark cases.
Justice Clarence Thomas asked repeatedly for the law’s challengers to point out where the right to an abortion was written in the Constitution, as did Justice Samuel Alito.
“If we were talking about the Second Amendment, I know exactly what we’re talking about, if we’re talking about the Fourth Amendment, I know what we’re talking about, because it’s written, it’s there,” said Justice Thomas. “What specifically is the right here that we’re talking about?” he asked U.S. Solicitor General Elizabeth Prelogar.
She said the right to abortion was embedded in the 14th amendment’s guarantee of the pursuit of liberty.
“If this Court renounces the liberty interest recognized in Roe and reaffirmed in Casey, it would be an unprecedented contraction of individual rights,” and a departure from court doctrine of upholding precedent, known as stare decisis, she said.
Chief Justice John Roberts seemed to be against throwing out either of the landmark abortion cases, but instead wanted to focus on whether the 15 weeks was a reasonable time point. But he seemed to be alone in honing-in on that issue.
“Roberts seem desperate for some limiting principle that isn’t reversing Roe, and none of the other conservative justices are biting,” tweeted Mary Ziegler, a historian who has written about abortion.
But justices Neil Gorsuch, Amy Coney Barrett, and Brett Kavanaugh all appeared to be receptive to the idea that the prior precedent set by Roe and Casey could be overturned.
Neil Katyal, the former U.S. acting solicitor general and a Supreme Court lawyer, tweeted during the arguments that he saw “nothing so far sympathetic to the challengers. And a lot that has been very hostile.”
He cautioned that questions during oral arguments “often are just trying to understand a lawyer’s position,” adding, “But the tea leaves here are ominous.”
If Roe v. Wade is overturned, 22 states have laws already on the books that could be used to restrict abortion, according to the Guttmacher Institute. Almost all abortions would be banned in 12 states that have so-called “trigger” laws: Arkansas, Idaho, Kentucky, Louisiana, Mississippi, Missouri, North Dakota, Oklahoma, South Dakota, Tennessee, Texas, and Utah.
Seventeen states have abortion restrictions that have been unenforced or blocked by courts that would go back into effect if Roe is nullified. An additional seven states have laws that intend to restrict abortion in the absence of Roe and four states have passed constitutional amendments to specifically not protect the right to abortion.
Guttmacher reports that 15 states and the District of Columbia have passed laws that protect the right to abortion.
Jackson Women’s Health – the state’s sole abortion provider – sued to block the Mississippi law soon after it passed. A federal judge ruled against the state and that decision was upheld by the U.S. Fifth Circuit Court of Appeals, which also issued a permanent injunction against the law. The Supreme Court in May 2021 agreed to take Mississippi’s appeal.
Earlier in November, the Supreme Court heard arguments in two cases challenging a restrictive Texas law, Whole Woman’s Health v. Jackson and U.S. v. Texas. The justices seemed receptive to the idea that the law, SB 8, was unconstitutional. But the court did not grant a request by the Biden administration to halt the law while the challenges made their way through the courts.
A version of this article first appeared on WebMD.com.
The justices heard from lawyers arguing for and against a 2018 Mississippi law that, with few exceptions, bans abortion after 15 weeks, claiming that a fetus is viable outside the womb at that age. The Supreme Court’s 1973 Roe v. Wade decision and legal rulings in the decades since, including the 1992 decision in Planned Parenthood v. Casey, have said that abortion should be available to the point of viability – established as about 23 weeks.
The court also ruled in Casey that state laws could not present an “undue burden” on a woman’s ability to obtain an abortion.
The Mississippi attorney general did not initially seek to overturn Roe and Casey, but later argued in Dobbs v. Jackson Women’s Health Organization that both cases were erroneously decided and should be completely thrown out.
“It is an egregiously wrong decision that has inflicted tremendous damage on our country and will continue to do so and take innumerable human lives unless and until this court overrules it,” said Scott G. Stewart, Mississippi’s solicitor general.
When it accepted the Mississippi case, the Supreme Court did not agree to weigh in on overturning Roe or Casey, but the justices’ leanings were evident during the hearing, and it is possible they would throw out those landmark cases.
Justice Clarence Thomas asked repeatedly for the law’s challengers to point out where the right to an abortion was written in the Constitution, as did Justice Samuel Alito.
“If we were talking about the Second Amendment, I know exactly what we’re talking about, if we’re talking about the Fourth Amendment, I know what we’re talking about, because it’s written, it’s there,” said Justice Thomas. “What specifically is the right here that we’re talking about?” he asked U.S. Solicitor General Elizabeth Prelogar.
She said the right to abortion was embedded in the 14th amendment’s guarantee of the pursuit of liberty.
“If this Court renounces the liberty interest recognized in Roe and reaffirmed in Casey, it would be an unprecedented contraction of individual rights,” and a departure from court doctrine of upholding precedent, known as stare decisis, she said.
Chief Justice John Roberts seemed to be against throwing out either of the landmark abortion cases, but instead wanted to focus on whether the 15 weeks was a reasonable time point. But he seemed to be alone in honing-in on that issue.
“Roberts seem desperate for some limiting principle that isn’t reversing Roe, and none of the other conservative justices are biting,” tweeted Mary Ziegler, a historian who has written about abortion.
But justices Neil Gorsuch, Amy Coney Barrett, and Brett Kavanaugh all appeared to be receptive to the idea that the prior precedent set by Roe and Casey could be overturned.
Neil Katyal, the former U.S. acting solicitor general and a Supreme Court lawyer, tweeted during the arguments that he saw “nothing so far sympathetic to the challengers. And a lot that has been very hostile.”
He cautioned that questions during oral arguments “often are just trying to understand a lawyer’s position,” adding, “But the tea leaves here are ominous.”
If Roe v. Wade is overturned, 22 states have laws already on the books that could be used to restrict abortion, according to the Guttmacher Institute. Almost all abortions would be banned in 12 states that have so-called “trigger” laws: Arkansas, Idaho, Kentucky, Louisiana, Mississippi, Missouri, North Dakota, Oklahoma, South Dakota, Tennessee, Texas, and Utah.
Seventeen states have abortion restrictions that have been unenforced or blocked by courts that would go back into effect if Roe is nullified. An additional seven states have laws that intend to restrict abortion in the absence of Roe and four states have passed constitutional amendments to specifically not protect the right to abortion.
Guttmacher reports that 15 states and the District of Columbia have passed laws that protect the right to abortion.
Jackson Women’s Health – the state’s sole abortion provider – sued to block the Mississippi law soon after it passed. A federal judge ruled against the state and that decision was upheld by the U.S. Fifth Circuit Court of Appeals, which also issued a permanent injunction against the law. The Supreme Court in May 2021 agreed to take Mississippi’s appeal.
Earlier in November, the Supreme Court heard arguments in two cases challenging a restrictive Texas law, Whole Woman’s Health v. Jackson and U.S. v. Texas. The justices seemed receptive to the idea that the law, SB 8, was unconstitutional. But the court did not grant a request by the Biden administration to halt the law while the challenges made their way through the courts.
A version of this article first appeared on WebMD.com.
IUDs may increase background enhancement on breast MRI
Intrauterine contraceptive devices (IUDs) have been linked to increased background enhancement on breast MRI, according to research presented at the Radiological Society of North America 2021 annual meeting.
About 10.4% of women 15-49 years of age who use contraception have an IUD or contraceptive implant, according to the Centers for Disease Control and Prevention. Unlike oral or transdermal hormonal contraceptives and hormone replacement therapy, levonorgestrel-releasing IUDs release a small amount of the hormone directly into the uterus and are thought to have a much more localized effect, Luisa Huck, MD, the lead author of the study, said in an interview.
But women with IUDs have long reported adverse effects associated with other hormonal medication. “In the past, some women reported depression, headaches, sleep disorders, and panic attacks,” noted Dr. Huck, a radiology resident at RWTH Aachen University in Germany.
Christiane Kuhl, MD, chief of the department of radiology at RWTH Aachen University and senior author of the research, had also observed that women with hormonal IUDs often have increased background parenchymal enhancement (BPE) on contrast-enhanced MRI. BPE “has been established as a sensitive marker of hormonal stimulation of breast,” the study authors wrote, and previous studies have shown that women using hormonal medications have higher BPE on breast MRIs.
To better understand whether IUDs can increase BPE, Dr. Huck and colleagues used the hospital database to search for premenopausal women who had undergone breast MRIs for screening between January 2014 and July 2020. To be included, women had to have had at least two scans: one with and one without an IUD in place, with the scan conducted at least 4 weeks after IUD placement or removal. All women in the study had no history of breast cancer or hormone or antihormone intake.
The study involved 48 women with an average age of 45 years and a median of 27 months between the two scans. Forty-six of the women had the Mirena levonorgestrel-releasing IUD and two had the Jaydess IUD. To account for hormone variations between patients, the researchers used each patient as their own reference point. To control for age-related effects, 25 women had their first MRI without an IUD and their second scan with an IUD in place. The second group of 23 women underwent their first MRI with an IUD and had it removed before the second scan.
Hormonal effects on breast enhancement are very complex, and hormonal stimulation is not always predictably correlated with changes on MRI imaging.
For 23 women in the study, background enhancement was higher on scans with the IUD than without (P < .001). For 24 women, there was no change in BPE with or without an IUD, and one woman had lower BPE with an IUD than without.
“It is very interesting and relevant to practice to consider that the presence of an intrauterine device would have potential impact on the enhancement we see in the breast on MRI imaging,” Samantha Heller, MD, PhD, associate professor of radiology at New York University, said in an interview.
However, the study used BPE as a measure for hormonal shifts, and “hormonal effects on breast enhancement are very complex, and hormonal stimulation is not always predictably correlated with changes on MRI imaging,” she noted. BPE on MRI can fluctuate, so testing actual hormone levels in patients with elevated BPE could be helpful to identify hormonal shifts, she added. It is also important to understand why half of the women in the study showed no variation in BPE, she said.
The study findings are not very surprising, considering that it is known that low levels of progesterone from IUDs circulate in the blood stream, Frances Casey, MD, MPH, associate professor in the department of obstetrics and gynecology at Virginia Commonwealth University in Richmond, said in an interview. They do not suggest that there should be any changes to IUD guidelines, she added.
However, “the study findings raise the question as to whether IUD status should be documented as a matter of course prior to performing breast MRI,” said Dr. Heller. “It is standard to document the timing of a woman’s menstrual cycle, as well as to note any hormone suppression or replacement therapy. This is in part so that the radiologist may understand the etiology of any observed variation in background enhancement,” she explained.
Although increased enhancement on MRI has sometimes been linked to higher chances of recommendations for additional imaging or biopsies, she noted, “more work would be needed to understand the impact – if any – of an IUD on breast MRI recommendations due to enhancement changes.”
Dr. Huck, Dr. Heller, and Dr. Casey disclosed no relevant financial relationships.
A version of this article first appeared on Medscape.com.
Intrauterine contraceptive devices (IUDs) have been linked to increased background enhancement on breast MRI, according to research presented at the Radiological Society of North America 2021 annual meeting.
About 10.4% of women 15-49 years of age who use contraception have an IUD or contraceptive implant, according to the Centers for Disease Control and Prevention. Unlike oral or transdermal hormonal contraceptives and hormone replacement therapy, levonorgestrel-releasing IUDs release a small amount of the hormone directly into the uterus and are thought to have a much more localized effect, Luisa Huck, MD, the lead author of the study, said in an interview.
But women with IUDs have long reported adverse effects associated with other hormonal medication. “In the past, some women reported depression, headaches, sleep disorders, and panic attacks,” noted Dr. Huck, a radiology resident at RWTH Aachen University in Germany.
Christiane Kuhl, MD, chief of the department of radiology at RWTH Aachen University and senior author of the research, had also observed that women with hormonal IUDs often have increased background parenchymal enhancement (BPE) on contrast-enhanced MRI. BPE “has been established as a sensitive marker of hormonal stimulation of breast,” the study authors wrote, and previous studies have shown that women using hormonal medications have higher BPE on breast MRIs.
To better understand whether IUDs can increase BPE, Dr. Huck and colleagues used the hospital database to search for premenopausal women who had undergone breast MRIs for screening between January 2014 and July 2020. To be included, women had to have had at least two scans: one with and one without an IUD in place, with the scan conducted at least 4 weeks after IUD placement or removal. All women in the study had no history of breast cancer or hormone or antihormone intake.
The study involved 48 women with an average age of 45 years and a median of 27 months between the two scans. Forty-six of the women had the Mirena levonorgestrel-releasing IUD and two had the Jaydess IUD. To account for hormone variations between patients, the researchers used each patient as their own reference point. To control for age-related effects, 25 women had their first MRI without an IUD and their second scan with an IUD in place. The second group of 23 women underwent their first MRI with an IUD and had it removed before the second scan.
Hormonal effects on breast enhancement are very complex, and hormonal stimulation is not always predictably correlated with changes on MRI imaging.
For 23 women in the study, background enhancement was higher on scans with the IUD than without (P < .001). For 24 women, there was no change in BPE with or without an IUD, and one woman had lower BPE with an IUD than without.
“It is very interesting and relevant to practice to consider that the presence of an intrauterine device would have potential impact on the enhancement we see in the breast on MRI imaging,” Samantha Heller, MD, PhD, associate professor of radiology at New York University, said in an interview.
However, the study used BPE as a measure for hormonal shifts, and “hormonal effects on breast enhancement are very complex, and hormonal stimulation is not always predictably correlated with changes on MRI imaging,” she noted. BPE on MRI can fluctuate, so testing actual hormone levels in patients with elevated BPE could be helpful to identify hormonal shifts, she added. It is also important to understand why half of the women in the study showed no variation in BPE, she said.
The study findings are not very surprising, considering that it is known that low levels of progesterone from IUDs circulate in the blood stream, Frances Casey, MD, MPH, associate professor in the department of obstetrics and gynecology at Virginia Commonwealth University in Richmond, said in an interview. They do not suggest that there should be any changes to IUD guidelines, she added.
However, “the study findings raise the question as to whether IUD status should be documented as a matter of course prior to performing breast MRI,” said Dr. Heller. “It is standard to document the timing of a woman’s menstrual cycle, as well as to note any hormone suppression or replacement therapy. This is in part so that the radiologist may understand the etiology of any observed variation in background enhancement,” she explained.
Although increased enhancement on MRI has sometimes been linked to higher chances of recommendations for additional imaging or biopsies, she noted, “more work would be needed to understand the impact – if any – of an IUD on breast MRI recommendations due to enhancement changes.”
Dr. Huck, Dr. Heller, and Dr. Casey disclosed no relevant financial relationships.
A version of this article first appeared on Medscape.com.
Intrauterine contraceptive devices (IUDs) have been linked to increased background enhancement on breast MRI, according to research presented at the Radiological Society of North America 2021 annual meeting.
About 10.4% of women 15-49 years of age who use contraception have an IUD or contraceptive implant, according to the Centers for Disease Control and Prevention. Unlike oral or transdermal hormonal contraceptives and hormone replacement therapy, levonorgestrel-releasing IUDs release a small amount of the hormone directly into the uterus and are thought to have a much more localized effect, Luisa Huck, MD, the lead author of the study, said in an interview.
But women with IUDs have long reported adverse effects associated with other hormonal medication. “In the past, some women reported depression, headaches, sleep disorders, and panic attacks,” noted Dr. Huck, a radiology resident at RWTH Aachen University in Germany.
Christiane Kuhl, MD, chief of the department of radiology at RWTH Aachen University and senior author of the research, had also observed that women with hormonal IUDs often have increased background parenchymal enhancement (BPE) on contrast-enhanced MRI. BPE “has been established as a sensitive marker of hormonal stimulation of breast,” the study authors wrote, and previous studies have shown that women using hormonal medications have higher BPE on breast MRIs.
To better understand whether IUDs can increase BPE, Dr. Huck and colleagues used the hospital database to search for premenopausal women who had undergone breast MRIs for screening between January 2014 and July 2020. To be included, women had to have had at least two scans: one with and one without an IUD in place, with the scan conducted at least 4 weeks after IUD placement or removal. All women in the study had no history of breast cancer or hormone or antihormone intake.
The study involved 48 women with an average age of 45 years and a median of 27 months between the two scans. Forty-six of the women had the Mirena levonorgestrel-releasing IUD and two had the Jaydess IUD. To account for hormone variations between patients, the researchers used each patient as their own reference point. To control for age-related effects, 25 women had their first MRI without an IUD and their second scan with an IUD in place. The second group of 23 women underwent their first MRI with an IUD and had it removed before the second scan.
Hormonal effects on breast enhancement are very complex, and hormonal stimulation is not always predictably correlated with changes on MRI imaging.
For 23 women in the study, background enhancement was higher on scans with the IUD than without (P < .001). For 24 women, there was no change in BPE with or without an IUD, and one woman had lower BPE with an IUD than without.
“It is very interesting and relevant to practice to consider that the presence of an intrauterine device would have potential impact on the enhancement we see in the breast on MRI imaging,” Samantha Heller, MD, PhD, associate professor of radiology at New York University, said in an interview.
However, the study used BPE as a measure for hormonal shifts, and “hormonal effects on breast enhancement are very complex, and hormonal stimulation is not always predictably correlated with changes on MRI imaging,” she noted. BPE on MRI can fluctuate, so testing actual hormone levels in patients with elevated BPE could be helpful to identify hormonal shifts, she added. It is also important to understand why half of the women in the study showed no variation in BPE, she said.
The study findings are not very surprising, considering that it is known that low levels of progesterone from IUDs circulate in the blood stream, Frances Casey, MD, MPH, associate professor in the department of obstetrics and gynecology at Virginia Commonwealth University in Richmond, said in an interview. They do not suggest that there should be any changes to IUD guidelines, she added.
However, “the study findings raise the question as to whether IUD status should be documented as a matter of course prior to performing breast MRI,” said Dr. Heller. “It is standard to document the timing of a woman’s menstrual cycle, as well as to note any hormone suppression or replacement therapy. This is in part so that the radiologist may understand the etiology of any observed variation in background enhancement,” she explained.
Although increased enhancement on MRI has sometimes been linked to higher chances of recommendations for additional imaging or biopsies, she noted, “more work would be needed to understand the impact – if any – of an IUD on breast MRI recommendations due to enhancement changes.”
Dr. Huck, Dr. Heller, and Dr. Casey disclosed no relevant financial relationships.
A version of this article first appeared on Medscape.com.
Sickle cell raises risk for stillbirth
Both sickle cell trait and sickle cell disease were significantly associated with an increased risk of stillbirth, based on data from more than 50,000 women.
Pregnant women with sickle cell disease (SCD) are at increased risk of complications, including stillbirth, but many women with the disease in the United States lack access to specialty care, Silvia P. Canelón, PhD, of the University of Pennsylvania, Philadelphia, and colleagues wrote. Sickle cell trait (SCT), defined as one abnormal allele of the hemoglobin gene, is not considered a disease state because many carriers are asymptomatic, and therefore even less likely to be assessed for potential complications. “However, it is possible for people with SCT to experience sickling of red blood cells under severe hypoxia, dehydration, and hyperthermia. This condition can lead to severe medical complications for sickle cell carriers, including fetal loss, splenic infarction, exercise-related sudden death, and others,” they noted.
In a study published in JAMA Network Open, the researchers reviewed data from 63,334 deliveries in 50,560 women between Jan. 1, 2010, and Aug. 15, 2017, at four quaternary academic medical centers in Pennsylvania. Of these, 1,904 had SCT but not SCD, and 164 had SCD. The mean age of the women was 29.5 years, and approximately 56% were single at the time of delivery. A majority (87%) of the study population was Rhesus-factor positive, 47.0% were Black or African American, 33.7% were White, and 45.2% had ABO blood type O.
Risk factors for stillbirth used in the analysis included SCD, numbers of pain crises and blood transfusions before delivery, delivery episode (to represent parity), history of cesarean delivery, multiple gestation, age, marital status, race and ethnicity, ABO blood type, Rhesus factor, and year of delivery.
Overall, the prevalence of stillbirth in women with SCT was 1.1%, compared with 0.8% in the general study population, and was significantly associated with increased risk of stillbirth after controlling for multiple risk factors. The adjusted odds ratio was 8.94 for stillbirth risk in women with SCT, compared with women without SCT (P = .045), although the risk was greater among women with SCD, compared with those without SCD (aOR, 26.40).
“In addition, the stratified analysis found Black or African American patients with SCD to be at higher risk of stillbirth, compared with Black or African American patients without SCD (aOR, 3.59),” but no significant association was noted between stillbirth and SCT, the researchers wrote. Stillbirth rates were 1.1% in Black or African American women overall, 2.7% in those with SCD, and 1.0% in those with SCT. Overall, multiple gestation was associated with an increased risk of stillbirth (aOR, 4.68), while a history of cesarean delivery and being married at the time of delivery were associated with decreased risk (aOR, 0.44 and 0.72, respectively).
The lack of association between stillbirth and SCT in Black or African American patients supports some previous research, but contradicts other studies, the researchers wrote. “Ultimately, it may be impossible to disentangle the risks due to the disease and those due to disparities associated with the disease that have resulted from longstanding inequity and stigma,” they said. The findings also suggest that biological mechanisms of SCT may contribute to severe clinical complications, and therefore “invite a more critical examination of the assumption that SCT is not a disease state.”
The study findings were limited by several factors including the lack of assessment of SCT independent of other comorbidities, such as hypertension, preeclampsia, diabetes, and obesity, and by the use of billing codes that could misclassify patients, the researchers noted.
However, the results support some findings from previous studies of the potential health complications for pregnant SCT patients. The large study population highlights the need to identify women’s SCT status during obstetric care, and to provide both pregnancy guidance for SCT patients and systemic support of comprehensive care for SCD and SCT patients, they concluded.
Disparities may drive stillbirth in sickle cell trait women
“There is a paucity of research evaluating sickle cell trait and the risk of adverse pregnancy outcomes such as stillbirth,” Iris Krishna, MD, of Emory University, Atlanta, said in an interview. “Prior studies evaluating the risk of stillbirth have yielded mixed results, and an increased risk of stillbirth in women with sickle cell trait has not been established. This study is unique in that it attempts to address how racial inequities and health disparities may contribute to risk of stillbirth in women with sickle cell trait.”
Although the study findings suggest an increased risk of stillbirth in women with sickle cell trait, an analysis stratified for Black or African American patients showed no association, Dr. Krishna said. “The prevalence of stillbirth was noted to be 1% among Black or African American patients with sickle cell trait compared to the prevalence of stillbirth of 1.1% among Black or African American women with no sickle cell trait or disease. Although, sickle cell trait or sickle cell disease can be found in any racial or ethnic group, it disproportionately affects Black or African Americans, with a sickle cell trait carrier rate of approximately 1 in 10. The mixed findings in this study amongst racial/ethnic groups further suggest that there is more research needed before an association between stillbirth and sickle cell trait can be supported.”
As for clinical implications, “it is well established that for women with sickle cell trait there is an increased risk of urinary tract infections in pregnancy,” said Dr. Krishna. “Women with sickle cell trait should have a urine culture performed at their first prenatal visit and each trimester. At this time, studies evaluating risk of stillbirth in women with sickle cell trait have yielded conflicting results, and current consensus is that women with sickle cell trait are not at increased risk. In comparison, women with sickle cell disease are at increased risk for stillbirth and adverse pregnancy outcomes. Women with sickle cell disease should be followed closely during pregnancy and fetal surveillance implemented at 32 weeks, if not sooner, to reduce risk of stillbirth.
“Prior studies evaluating risk of stillbirth in women with sickle cell trait consist of retrospective cohorts with small study populations,” Dr. Krishna added. Notably, the current study was limited by the inability to adjust for comorbidities including diabetes, hypertension, and obesity, that are not only associated with an increased risk for stillbirth, but also disproportionately common among Black women.
“More studies are needed evaluating the relationship between these comorbidities as well as studies specifically evaluating how race affects care and pregnancy outcomes,” Dr. Krisha emphasized.
The study was funded by the University of Pennsylvania department of biostatistics, epidemiology, and informatics. Lead author Dr. Canelón disclosed grants from the Centers for Disease Control and Prevention, Clinical and Translational Science Awards, and grants from the National Institutes of Health outside the submitted work. Dr. Krishna had no financial conflicts to disclose, but serves on the editorial advisory board of Ob.Gyn News.
Both sickle cell trait and sickle cell disease were significantly associated with an increased risk of stillbirth, based on data from more than 50,000 women.
Pregnant women with sickle cell disease (SCD) are at increased risk of complications, including stillbirth, but many women with the disease in the United States lack access to specialty care, Silvia P. Canelón, PhD, of the University of Pennsylvania, Philadelphia, and colleagues wrote. Sickle cell trait (SCT), defined as one abnormal allele of the hemoglobin gene, is not considered a disease state because many carriers are asymptomatic, and therefore even less likely to be assessed for potential complications. “However, it is possible for people with SCT to experience sickling of red blood cells under severe hypoxia, dehydration, and hyperthermia. This condition can lead to severe medical complications for sickle cell carriers, including fetal loss, splenic infarction, exercise-related sudden death, and others,” they noted.
In a study published in JAMA Network Open, the researchers reviewed data from 63,334 deliveries in 50,560 women between Jan. 1, 2010, and Aug. 15, 2017, at four quaternary academic medical centers in Pennsylvania. Of these, 1,904 had SCT but not SCD, and 164 had SCD. The mean age of the women was 29.5 years, and approximately 56% were single at the time of delivery. A majority (87%) of the study population was Rhesus-factor positive, 47.0% were Black or African American, 33.7% were White, and 45.2% had ABO blood type O.
Risk factors for stillbirth used in the analysis included SCD, numbers of pain crises and blood transfusions before delivery, delivery episode (to represent parity), history of cesarean delivery, multiple gestation, age, marital status, race and ethnicity, ABO blood type, Rhesus factor, and year of delivery.
Overall, the prevalence of stillbirth in women with SCT was 1.1%, compared with 0.8% in the general study population, and was significantly associated with increased risk of stillbirth after controlling for multiple risk factors. The adjusted odds ratio was 8.94 for stillbirth risk in women with SCT, compared with women without SCT (P = .045), although the risk was greater among women with SCD, compared with those without SCD (aOR, 26.40).
“In addition, the stratified analysis found Black or African American patients with SCD to be at higher risk of stillbirth, compared with Black or African American patients without SCD (aOR, 3.59),” but no significant association was noted between stillbirth and SCT, the researchers wrote. Stillbirth rates were 1.1% in Black or African American women overall, 2.7% in those with SCD, and 1.0% in those with SCT. Overall, multiple gestation was associated with an increased risk of stillbirth (aOR, 4.68), while a history of cesarean delivery and being married at the time of delivery were associated with decreased risk (aOR, 0.44 and 0.72, respectively).
The lack of association between stillbirth and SCT in Black or African American patients supports some previous research, but contradicts other studies, the researchers wrote. “Ultimately, it may be impossible to disentangle the risks due to the disease and those due to disparities associated with the disease that have resulted from longstanding inequity and stigma,” they said. The findings also suggest that biological mechanisms of SCT may contribute to severe clinical complications, and therefore “invite a more critical examination of the assumption that SCT is not a disease state.”
The study findings were limited by several factors including the lack of assessment of SCT independent of other comorbidities, such as hypertension, preeclampsia, diabetes, and obesity, and by the use of billing codes that could misclassify patients, the researchers noted.
However, the results support some findings from previous studies of the potential health complications for pregnant SCT patients. The large study population highlights the need to identify women’s SCT status during obstetric care, and to provide both pregnancy guidance for SCT patients and systemic support of comprehensive care for SCD and SCT patients, they concluded.
Disparities may drive stillbirth in sickle cell trait women
“There is a paucity of research evaluating sickle cell trait and the risk of adverse pregnancy outcomes such as stillbirth,” Iris Krishna, MD, of Emory University, Atlanta, said in an interview. “Prior studies evaluating the risk of stillbirth have yielded mixed results, and an increased risk of stillbirth in women with sickle cell trait has not been established. This study is unique in that it attempts to address how racial inequities and health disparities may contribute to risk of stillbirth in women with sickle cell trait.”
Although the study findings suggest an increased risk of stillbirth in women with sickle cell trait, an analysis stratified for Black or African American patients showed no association, Dr. Krishna said. “The prevalence of stillbirth was noted to be 1% among Black or African American patients with sickle cell trait compared to the prevalence of stillbirth of 1.1% among Black or African American women with no sickle cell trait or disease. Although, sickle cell trait or sickle cell disease can be found in any racial or ethnic group, it disproportionately affects Black or African Americans, with a sickle cell trait carrier rate of approximately 1 in 10. The mixed findings in this study amongst racial/ethnic groups further suggest that there is more research needed before an association between stillbirth and sickle cell trait can be supported.”
As for clinical implications, “it is well established that for women with sickle cell trait there is an increased risk of urinary tract infections in pregnancy,” said Dr. Krishna. “Women with sickle cell trait should have a urine culture performed at their first prenatal visit and each trimester. At this time, studies evaluating risk of stillbirth in women with sickle cell trait have yielded conflicting results, and current consensus is that women with sickle cell trait are not at increased risk. In comparison, women with sickle cell disease are at increased risk for stillbirth and adverse pregnancy outcomes. Women with sickle cell disease should be followed closely during pregnancy and fetal surveillance implemented at 32 weeks, if not sooner, to reduce risk of stillbirth.
“Prior studies evaluating risk of stillbirth in women with sickle cell trait consist of retrospective cohorts with small study populations,” Dr. Krishna added. Notably, the current study was limited by the inability to adjust for comorbidities including diabetes, hypertension, and obesity, that are not only associated with an increased risk for stillbirth, but also disproportionately common among Black women.
“More studies are needed evaluating the relationship between these comorbidities as well as studies specifically evaluating how race affects care and pregnancy outcomes,” Dr. Krisha emphasized.
The study was funded by the University of Pennsylvania department of biostatistics, epidemiology, and informatics. Lead author Dr. Canelón disclosed grants from the Centers for Disease Control and Prevention, Clinical and Translational Science Awards, and grants from the National Institutes of Health outside the submitted work. Dr. Krishna had no financial conflicts to disclose, but serves on the editorial advisory board of Ob.Gyn News.
Both sickle cell trait and sickle cell disease were significantly associated with an increased risk of stillbirth, based on data from more than 50,000 women.
Pregnant women with sickle cell disease (SCD) are at increased risk of complications, including stillbirth, but many women with the disease in the United States lack access to specialty care, Silvia P. Canelón, PhD, of the University of Pennsylvania, Philadelphia, and colleagues wrote. Sickle cell trait (SCT), defined as one abnormal allele of the hemoglobin gene, is not considered a disease state because many carriers are asymptomatic, and therefore even less likely to be assessed for potential complications. “However, it is possible for people with SCT to experience sickling of red blood cells under severe hypoxia, dehydration, and hyperthermia. This condition can lead to severe medical complications for sickle cell carriers, including fetal loss, splenic infarction, exercise-related sudden death, and others,” they noted.
In a study published in JAMA Network Open, the researchers reviewed data from 63,334 deliveries in 50,560 women between Jan. 1, 2010, and Aug. 15, 2017, at four quaternary academic medical centers in Pennsylvania. Of these, 1,904 had SCT but not SCD, and 164 had SCD. The mean age of the women was 29.5 years, and approximately 56% were single at the time of delivery. A majority (87%) of the study population was Rhesus-factor positive, 47.0% were Black or African American, 33.7% were White, and 45.2% had ABO blood type O.
Risk factors for stillbirth used in the analysis included SCD, numbers of pain crises and blood transfusions before delivery, delivery episode (to represent parity), history of cesarean delivery, multiple gestation, age, marital status, race and ethnicity, ABO blood type, Rhesus factor, and year of delivery.
Overall, the prevalence of stillbirth in women with SCT was 1.1%, compared with 0.8% in the general study population, and was significantly associated with increased risk of stillbirth after controlling for multiple risk factors. The adjusted odds ratio was 8.94 for stillbirth risk in women with SCT, compared with women without SCT (P = .045), although the risk was greater among women with SCD, compared with those without SCD (aOR, 26.40).
“In addition, the stratified analysis found Black or African American patients with SCD to be at higher risk of stillbirth, compared with Black or African American patients without SCD (aOR, 3.59),” but no significant association was noted between stillbirth and SCT, the researchers wrote. Stillbirth rates were 1.1% in Black or African American women overall, 2.7% in those with SCD, and 1.0% in those with SCT. Overall, multiple gestation was associated with an increased risk of stillbirth (aOR, 4.68), while a history of cesarean delivery and being married at the time of delivery were associated with decreased risk (aOR, 0.44 and 0.72, respectively).
The lack of association between stillbirth and SCT in Black or African American patients supports some previous research, but contradicts other studies, the researchers wrote. “Ultimately, it may be impossible to disentangle the risks due to the disease and those due to disparities associated with the disease that have resulted from longstanding inequity and stigma,” they said. The findings also suggest that biological mechanisms of SCT may contribute to severe clinical complications, and therefore “invite a more critical examination of the assumption that SCT is not a disease state.”
The study findings were limited by several factors including the lack of assessment of SCT independent of other comorbidities, such as hypertension, preeclampsia, diabetes, and obesity, and by the use of billing codes that could misclassify patients, the researchers noted.
However, the results support some findings from previous studies of the potential health complications for pregnant SCT patients. The large study population highlights the need to identify women’s SCT status during obstetric care, and to provide both pregnancy guidance for SCT patients and systemic support of comprehensive care for SCD and SCT patients, they concluded.
Disparities may drive stillbirth in sickle cell trait women
“There is a paucity of research evaluating sickle cell trait and the risk of adverse pregnancy outcomes such as stillbirth,” Iris Krishna, MD, of Emory University, Atlanta, said in an interview. “Prior studies evaluating the risk of stillbirth have yielded mixed results, and an increased risk of stillbirth in women with sickle cell trait has not been established. This study is unique in that it attempts to address how racial inequities and health disparities may contribute to risk of stillbirth in women with sickle cell trait.”
Although the study findings suggest an increased risk of stillbirth in women with sickle cell trait, an analysis stratified for Black or African American patients showed no association, Dr. Krishna said. “The prevalence of stillbirth was noted to be 1% among Black or African American patients with sickle cell trait compared to the prevalence of stillbirth of 1.1% among Black or African American women with no sickle cell trait or disease. Although, sickle cell trait or sickle cell disease can be found in any racial or ethnic group, it disproportionately affects Black or African Americans, with a sickle cell trait carrier rate of approximately 1 in 10. The mixed findings in this study amongst racial/ethnic groups further suggest that there is more research needed before an association between stillbirth and sickle cell trait can be supported.”
As for clinical implications, “it is well established that for women with sickle cell trait there is an increased risk of urinary tract infections in pregnancy,” said Dr. Krishna. “Women with sickle cell trait should have a urine culture performed at their first prenatal visit and each trimester. At this time, studies evaluating risk of stillbirth in women with sickle cell trait have yielded conflicting results, and current consensus is that women with sickle cell trait are not at increased risk. In comparison, women with sickle cell disease are at increased risk for stillbirth and adverse pregnancy outcomes. Women with sickle cell disease should be followed closely during pregnancy and fetal surveillance implemented at 32 weeks, if not sooner, to reduce risk of stillbirth.
“Prior studies evaluating risk of stillbirth in women with sickle cell trait consist of retrospective cohorts with small study populations,” Dr. Krishna added. Notably, the current study was limited by the inability to adjust for comorbidities including diabetes, hypertension, and obesity, that are not only associated with an increased risk for stillbirth, but also disproportionately common among Black women.
“More studies are needed evaluating the relationship between these comorbidities as well as studies specifically evaluating how race affects care and pregnancy outcomes,” Dr. Krisha emphasized.
The study was funded by the University of Pennsylvania department of biostatistics, epidemiology, and informatics. Lead author Dr. Canelón disclosed grants from the Centers for Disease Control and Prevention, Clinical and Translational Science Awards, and grants from the National Institutes of Health outside the submitted work. Dr. Krishna had no financial conflicts to disclose, but serves on the editorial advisory board of Ob.Gyn News.
FROM JAMA NETWORK OPEN
FDA approves imaging drug for detecting ovarian cancer lesions
The new drug “is designed to improve the ability to locate additional ovarian cancerous tissue that is normally difficult to detect during surgery,” according to the agency.
Pafolacianine, administered via intravenous injection prior to surgery, is the first FDA-approved tumor-targeted fluorescent agent for ovarian cancer.
In a press statement, drug inventor Philip Low, PhD, of Purdue University in West Lafayette, Ind., said the agent causes ovarian cancer lesions to “light up like stars against a night sky.”
Improving detection of ovarian cancer lesions is critical given that ovarian cancer is one of the “deadliest of all female reproductive system cancers,” according to the American Cancer Society. The organization estimates that there will be more than 21,000 new cases and more than 13,000 deaths in 2021.
Currently, surgeons use preoperative imaging as well as visual inspection of tumors under normal light and examination by touch to identify ovarian cancer lesions.
Pafolacianine offers a new tool to enhance surgeons’ ability “to identify deadly ovarian tumors that may otherwise go undetected,” Alex Gorovets, MD, deputy director of the office of specialty medicine in the FDA’s Center for Drug Evaluation and Research, said in a press statement.
Ovarian cancer often causes the body to overproduce the folate receptor protein in cell membranes. Pafolacianine, employed with a near-infrared fluorescence imaging system cleared by the FDA for use alongside the drug, binds to and illuminates these proteins under fluorescent light, “boosting surgeons’ ability to identify the cancerous tissue,” the agency in a statement.
The safety and effectiveness of pafolacianine was evaluated in a randomized, multi-center, open-label study of women diagnosed with ovarian cancer or with high clinical suspicion of ovarian cancer. Of the 134 women undergoing surgery who received a dose of pafolacianine and were evaluated under both normal and fluorescent light, 26.9% had at least one cancerous lesion detected that was not observed by standard visual or tactile inspection.
The most common side effects of pafolacianine were infusion-related reactions, including nausea, vomiting, abdominal pain, flushing, dyspepsia, chest discomfort, itching, and hypersensitivity.
Pafolacianine may cause fetal harm when administered to a pregnant woman. The use of folate, folic acid, or folate-containing supplements should be avoided within 48 hours before administration of pafolacianine.
The FDA also cautioned about the possible risk of image interpretation errors, including false negatives and false positives, with the use of the new drug and near-infrared fluorescence imaging system.
The FDA previously granted pafolacianine orphan-drug, priority, and fast track designations.
A version of this article first appeared on Medscape.com.
The new drug “is designed to improve the ability to locate additional ovarian cancerous tissue that is normally difficult to detect during surgery,” according to the agency.
Pafolacianine, administered via intravenous injection prior to surgery, is the first FDA-approved tumor-targeted fluorescent agent for ovarian cancer.
In a press statement, drug inventor Philip Low, PhD, of Purdue University in West Lafayette, Ind., said the agent causes ovarian cancer lesions to “light up like stars against a night sky.”
Improving detection of ovarian cancer lesions is critical given that ovarian cancer is one of the “deadliest of all female reproductive system cancers,” according to the American Cancer Society. The organization estimates that there will be more than 21,000 new cases and more than 13,000 deaths in 2021.
Currently, surgeons use preoperative imaging as well as visual inspection of tumors under normal light and examination by touch to identify ovarian cancer lesions.
Pafolacianine offers a new tool to enhance surgeons’ ability “to identify deadly ovarian tumors that may otherwise go undetected,” Alex Gorovets, MD, deputy director of the office of specialty medicine in the FDA’s Center for Drug Evaluation and Research, said in a press statement.
Ovarian cancer often causes the body to overproduce the folate receptor protein in cell membranes. Pafolacianine, employed with a near-infrared fluorescence imaging system cleared by the FDA for use alongside the drug, binds to and illuminates these proteins under fluorescent light, “boosting surgeons’ ability to identify the cancerous tissue,” the agency in a statement.
The safety and effectiveness of pafolacianine was evaluated in a randomized, multi-center, open-label study of women diagnosed with ovarian cancer or with high clinical suspicion of ovarian cancer. Of the 134 women undergoing surgery who received a dose of pafolacianine and were evaluated under both normal and fluorescent light, 26.9% had at least one cancerous lesion detected that was not observed by standard visual or tactile inspection.
The most common side effects of pafolacianine were infusion-related reactions, including nausea, vomiting, abdominal pain, flushing, dyspepsia, chest discomfort, itching, and hypersensitivity.
Pafolacianine may cause fetal harm when administered to a pregnant woman. The use of folate, folic acid, or folate-containing supplements should be avoided within 48 hours before administration of pafolacianine.
The FDA also cautioned about the possible risk of image interpretation errors, including false negatives and false positives, with the use of the new drug and near-infrared fluorescence imaging system.
The FDA previously granted pafolacianine orphan-drug, priority, and fast track designations.
A version of this article first appeared on Medscape.com.
The new drug “is designed to improve the ability to locate additional ovarian cancerous tissue that is normally difficult to detect during surgery,” according to the agency.
Pafolacianine, administered via intravenous injection prior to surgery, is the first FDA-approved tumor-targeted fluorescent agent for ovarian cancer.
In a press statement, drug inventor Philip Low, PhD, of Purdue University in West Lafayette, Ind., said the agent causes ovarian cancer lesions to “light up like stars against a night sky.”
Improving detection of ovarian cancer lesions is critical given that ovarian cancer is one of the “deadliest of all female reproductive system cancers,” according to the American Cancer Society. The organization estimates that there will be more than 21,000 new cases and more than 13,000 deaths in 2021.
Currently, surgeons use preoperative imaging as well as visual inspection of tumors under normal light and examination by touch to identify ovarian cancer lesions.
Pafolacianine offers a new tool to enhance surgeons’ ability “to identify deadly ovarian tumors that may otherwise go undetected,” Alex Gorovets, MD, deputy director of the office of specialty medicine in the FDA’s Center for Drug Evaluation and Research, said in a press statement.
Ovarian cancer often causes the body to overproduce the folate receptor protein in cell membranes. Pafolacianine, employed with a near-infrared fluorescence imaging system cleared by the FDA for use alongside the drug, binds to and illuminates these proteins under fluorescent light, “boosting surgeons’ ability to identify the cancerous tissue,” the agency in a statement.
The safety and effectiveness of pafolacianine was evaluated in a randomized, multi-center, open-label study of women diagnosed with ovarian cancer or with high clinical suspicion of ovarian cancer. Of the 134 women undergoing surgery who received a dose of pafolacianine and were evaluated under both normal and fluorescent light, 26.9% had at least one cancerous lesion detected that was not observed by standard visual or tactile inspection.
The most common side effects of pafolacianine were infusion-related reactions, including nausea, vomiting, abdominal pain, flushing, dyspepsia, chest discomfort, itching, and hypersensitivity.
Pafolacianine may cause fetal harm when administered to a pregnant woman. The use of folate, folic acid, or folate-containing supplements should be avoided within 48 hours before administration of pafolacianine.
The FDA also cautioned about the possible risk of image interpretation errors, including false negatives and false positives, with the use of the new drug and near-infrared fluorescence imaging system.
The FDA previously granted pafolacianine orphan-drug, priority, and fast track designations.
A version of this article first appeared on Medscape.com.
Congress OKs Veterans Affairs Expansive New Maternal Care Program
It’s called the Momnibus—the Black Maternal Health Momnibus Act of 2021 (HR 959) with 12 bills addressing “every dimension of the maternal health crisis in America.” The first bill in the Momnibus to pass Congress is the Protecting Moms Who Served act, which sets up a $15 million maternal care program within the US Department of Veterans Affairs (VA). “There has never been a comprehensive evaluation of how our nation’s growing maternal mortality crisis is impacting our women veterans, even though they may be at higher risk due to their service,” said Sen. Tammy Duckworth (D-IL), a co-sponsor of the Momnibus. The bill has passed Congress and awaits President Biden’s signature.
Rep. Lauren Underwood (D-IL) along with Rep. Alma Adams (D- NC-12), Sen. Cory Booker D-NJ), and members of the Black Maternal Health Caucus reintroduced the bill (first introduced last year). According to Rep. Underwood, the act would codify and strengthen the VA maternity care coordination programs. It also will require the US Government Accountability Office to report the deaths of pregnant and postpartum veterans and to focus on any racial or ethnic disparities. The bill passed overwhelmingly, 414 to 9 and awaits President Biden’s signature.
The Momnibus’s cute name represents a very serious purpose. “Maternal mortality has historically been used as a key indicator of the health of a population,” say researchers from National Vital Statistics Reports. But American mothers are dying at the highest rate in the developed world, and the numbers have been rising dramatically. Between 1987, when the Centers for Disease Control and Prevention (CDC) launched the Pregnancy Mortality Surveillance System in 2017, the latest year for available data, the number of reported pregnancy-related deaths in the United States rose steadily from 7.2 deaths per 100,000 live births to 17.3 per 100,000.
The maternal morbidity crisis is particularly stark among certain groups of women. Black women are acutely at risk, dying at 3 to 4 times the rate of White women (41.7 deaths per 100,000 live births), and one-third higher than the next highest risk group, Native American women (28.3 deaths per 100,000 live births).
But just how accurate have the data been? The study published in National Vital Statistics Report found that using a checkbox for “cause of death” specifying maternal death identified more than triple the number of maternal deaths. Without the checkbox item, maternal mortality rates in 2015 and 2016 would have been reported as 8.7 deaths per 100,000 live births, compared with 8.9 in 2002. With the checkbox, the rate would be reported as 20.9 per 100,000 live births in 2015 and 21.8/100,000 in 2016.
The CDC states that the reasons for the rising numbers are unclear; advances in identification have improved over time, for one. But by and large, the women are dying of preventable causes, such as hypertension, diabetes mellitus, and chronic heart disease. Nearly 60% of maternal deaths are deemed preventable.
Black and other minority women, though, may be dying of biases. Researchers from Beth Israel and Harvard cite studies that have found racial and ethnic disparities in obstetric care delivery. Non-Hispanic Blacks women, Hispanic women, and Asian women, for instance, have lower odds of labor induction when compared with that of White women. The odds of receiving an episiotomy are lower in non-Hispanic Black and Hispanic women. The Listening to Mothers survey III found that 24% of participants perceived discrimination during birth hospitalization, predominantly among Black or Hispanic women and uninsured women.
A maternal health equity advocacy group, 4Kira4Moms, was founded by the husband of Kira Johnson who died of hemorrhage following a routine scheduled cesarean section. In the recovery room, her catheter began turning pink with blood. For 10 hours, her husband said, he and her family begged the medical staff for help but were told his wife was not a priority. Thus, the Momnibus also contains the Kira Johnson Act, which will establish funding for community-based groups to provide Black pregnant women with more support.
Among other changes, the Momnibus will:
- Make critical investments in social determinants of health that influence maternal health outcomes, such as housing, transportation, and nutrition;
- Provide funding to community-based organizations that are working to improve maternal health outcomes and promote equity;
- Comprehensively study the unique maternal health risks facing pregnant and postpartum veterans and support VA maternity care coordination programs;
- Support mothers with mental health conditions and substance use disorders; and
- Promote innovative payment models to incentivize high-quality maternity care and nonclinical perinatal support
A variety of recent bills in Congress address maternal health. The Mothers and Offspring Mortality and Morbidity Awareness (MOMMA) Act, for instance, also would specifically address maternal health disparities by improving data collection and reporting, improving maternal care, and advancing respectful, equitable care. It also would extend Medicaid and the Children’s Health Insurance Program coverage. Katie Shea Barrett, MPH, executive director of March for Moms, a coalition of families, health care practitioners, policy makers, and partners advocating for mothers’ and families’ health, notes in an essay for thehill.com that Medicaid coverage ends about 60 days postpartum, although half of the maternal deaths happen between 42 days and 1 year postpartum.
She writes: “[W]e have to directly address the disproportionate impact of maternal mortality on women of color by training providers in offering care that is culturally competent and free of implicit bias. Health systems must be aware and respectful of cultural norms when providing care and be mindful of buying into stereotypes based on race, ethnicity, and even underlying medical conditions like diabetes, which often lead to perceived discrimination and perpetuate systems of injustice.”
In April, Vice President Kamala Harris called for sweeping action to curb racial inequities in pregnancy and childbirth. In an email Q&A with STAT, she said, “With every day that goes by and every woman who dies, the need for action grows more urgent.”
It’s called the Momnibus—the Black Maternal Health Momnibus Act of 2021 (HR 959) with 12 bills addressing “every dimension of the maternal health crisis in America.” The first bill in the Momnibus to pass Congress is the Protecting Moms Who Served act, which sets up a $15 million maternal care program within the US Department of Veterans Affairs (VA). “There has never been a comprehensive evaluation of how our nation’s growing maternal mortality crisis is impacting our women veterans, even though they may be at higher risk due to their service,” said Sen. Tammy Duckworth (D-IL), a co-sponsor of the Momnibus. The bill has passed Congress and awaits President Biden’s signature.
Rep. Lauren Underwood (D-IL) along with Rep. Alma Adams (D- NC-12), Sen. Cory Booker D-NJ), and members of the Black Maternal Health Caucus reintroduced the bill (first introduced last year). According to Rep. Underwood, the act would codify and strengthen the VA maternity care coordination programs. It also will require the US Government Accountability Office to report the deaths of pregnant and postpartum veterans and to focus on any racial or ethnic disparities. The bill passed overwhelmingly, 414 to 9 and awaits President Biden’s signature.
The Momnibus’s cute name represents a very serious purpose. “Maternal mortality has historically been used as a key indicator of the health of a population,” say researchers from National Vital Statistics Reports. But American mothers are dying at the highest rate in the developed world, and the numbers have been rising dramatically. Between 1987, when the Centers for Disease Control and Prevention (CDC) launched the Pregnancy Mortality Surveillance System in 2017, the latest year for available data, the number of reported pregnancy-related deaths in the United States rose steadily from 7.2 deaths per 100,000 live births to 17.3 per 100,000.
The maternal morbidity crisis is particularly stark among certain groups of women. Black women are acutely at risk, dying at 3 to 4 times the rate of White women (41.7 deaths per 100,000 live births), and one-third higher than the next highest risk group, Native American women (28.3 deaths per 100,000 live births).
But just how accurate have the data been? The study published in National Vital Statistics Report found that using a checkbox for “cause of death” specifying maternal death identified more than triple the number of maternal deaths. Without the checkbox item, maternal mortality rates in 2015 and 2016 would have been reported as 8.7 deaths per 100,000 live births, compared with 8.9 in 2002. With the checkbox, the rate would be reported as 20.9 per 100,000 live births in 2015 and 21.8/100,000 in 2016.
The CDC states that the reasons for the rising numbers are unclear; advances in identification have improved over time, for one. But by and large, the women are dying of preventable causes, such as hypertension, diabetes mellitus, and chronic heart disease. Nearly 60% of maternal deaths are deemed preventable.
Black and other minority women, though, may be dying of biases. Researchers from Beth Israel and Harvard cite studies that have found racial and ethnic disparities in obstetric care delivery. Non-Hispanic Blacks women, Hispanic women, and Asian women, for instance, have lower odds of labor induction when compared with that of White women. The odds of receiving an episiotomy are lower in non-Hispanic Black and Hispanic women. The Listening to Mothers survey III found that 24% of participants perceived discrimination during birth hospitalization, predominantly among Black or Hispanic women and uninsured women.
A maternal health equity advocacy group, 4Kira4Moms, was founded by the husband of Kira Johnson who died of hemorrhage following a routine scheduled cesarean section. In the recovery room, her catheter began turning pink with blood. For 10 hours, her husband said, he and her family begged the medical staff for help but were told his wife was not a priority. Thus, the Momnibus also contains the Kira Johnson Act, which will establish funding for community-based groups to provide Black pregnant women with more support.
Among other changes, the Momnibus will:
- Make critical investments in social determinants of health that influence maternal health outcomes, such as housing, transportation, and nutrition;
- Provide funding to community-based organizations that are working to improve maternal health outcomes and promote equity;
- Comprehensively study the unique maternal health risks facing pregnant and postpartum veterans and support VA maternity care coordination programs;
- Support mothers with mental health conditions and substance use disorders; and
- Promote innovative payment models to incentivize high-quality maternity care and nonclinical perinatal support
A variety of recent bills in Congress address maternal health. The Mothers and Offspring Mortality and Morbidity Awareness (MOMMA) Act, for instance, also would specifically address maternal health disparities by improving data collection and reporting, improving maternal care, and advancing respectful, equitable care. It also would extend Medicaid and the Children’s Health Insurance Program coverage. Katie Shea Barrett, MPH, executive director of March for Moms, a coalition of families, health care practitioners, policy makers, and partners advocating for mothers’ and families’ health, notes in an essay for thehill.com that Medicaid coverage ends about 60 days postpartum, although half of the maternal deaths happen between 42 days and 1 year postpartum.
She writes: “[W]e have to directly address the disproportionate impact of maternal mortality on women of color by training providers in offering care that is culturally competent and free of implicit bias. Health systems must be aware and respectful of cultural norms when providing care and be mindful of buying into stereotypes based on race, ethnicity, and even underlying medical conditions like diabetes, which often lead to perceived discrimination and perpetuate systems of injustice.”
In April, Vice President Kamala Harris called for sweeping action to curb racial inequities in pregnancy and childbirth. In an email Q&A with STAT, she said, “With every day that goes by and every woman who dies, the need for action grows more urgent.”
It’s called the Momnibus—the Black Maternal Health Momnibus Act of 2021 (HR 959) with 12 bills addressing “every dimension of the maternal health crisis in America.” The first bill in the Momnibus to pass Congress is the Protecting Moms Who Served act, which sets up a $15 million maternal care program within the US Department of Veterans Affairs (VA). “There has never been a comprehensive evaluation of how our nation’s growing maternal mortality crisis is impacting our women veterans, even though they may be at higher risk due to their service,” said Sen. Tammy Duckworth (D-IL), a co-sponsor of the Momnibus. The bill has passed Congress and awaits President Biden’s signature.
Rep. Lauren Underwood (D-IL) along with Rep. Alma Adams (D- NC-12), Sen. Cory Booker D-NJ), and members of the Black Maternal Health Caucus reintroduced the bill (first introduced last year). According to Rep. Underwood, the act would codify and strengthen the VA maternity care coordination programs. It also will require the US Government Accountability Office to report the deaths of pregnant and postpartum veterans and to focus on any racial or ethnic disparities. The bill passed overwhelmingly, 414 to 9 and awaits President Biden’s signature.
The Momnibus’s cute name represents a very serious purpose. “Maternal mortality has historically been used as a key indicator of the health of a population,” say researchers from National Vital Statistics Reports. But American mothers are dying at the highest rate in the developed world, and the numbers have been rising dramatically. Between 1987, when the Centers for Disease Control and Prevention (CDC) launched the Pregnancy Mortality Surveillance System in 2017, the latest year for available data, the number of reported pregnancy-related deaths in the United States rose steadily from 7.2 deaths per 100,000 live births to 17.3 per 100,000.
The maternal morbidity crisis is particularly stark among certain groups of women. Black women are acutely at risk, dying at 3 to 4 times the rate of White women (41.7 deaths per 100,000 live births), and one-third higher than the next highest risk group, Native American women (28.3 deaths per 100,000 live births).
But just how accurate have the data been? The study published in National Vital Statistics Report found that using a checkbox for “cause of death” specifying maternal death identified more than triple the number of maternal deaths. Without the checkbox item, maternal mortality rates in 2015 and 2016 would have been reported as 8.7 deaths per 100,000 live births, compared with 8.9 in 2002. With the checkbox, the rate would be reported as 20.9 per 100,000 live births in 2015 and 21.8/100,000 in 2016.
The CDC states that the reasons for the rising numbers are unclear; advances in identification have improved over time, for one. But by and large, the women are dying of preventable causes, such as hypertension, diabetes mellitus, and chronic heart disease. Nearly 60% of maternal deaths are deemed preventable.
Black and other minority women, though, may be dying of biases. Researchers from Beth Israel and Harvard cite studies that have found racial and ethnic disparities in obstetric care delivery. Non-Hispanic Blacks women, Hispanic women, and Asian women, for instance, have lower odds of labor induction when compared with that of White women. The odds of receiving an episiotomy are lower in non-Hispanic Black and Hispanic women. The Listening to Mothers survey III found that 24% of participants perceived discrimination during birth hospitalization, predominantly among Black or Hispanic women and uninsured women.
A maternal health equity advocacy group, 4Kira4Moms, was founded by the husband of Kira Johnson who died of hemorrhage following a routine scheduled cesarean section. In the recovery room, her catheter began turning pink with blood. For 10 hours, her husband said, he and her family begged the medical staff for help but were told his wife was not a priority. Thus, the Momnibus also contains the Kira Johnson Act, which will establish funding for community-based groups to provide Black pregnant women with more support.
Among other changes, the Momnibus will:
- Make critical investments in social determinants of health that influence maternal health outcomes, such as housing, transportation, and nutrition;
- Provide funding to community-based organizations that are working to improve maternal health outcomes and promote equity;
- Comprehensively study the unique maternal health risks facing pregnant and postpartum veterans and support VA maternity care coordination programs;
- Support mothers with mental health conditions and substance use disorders; and
- Promote innovative payment models to incentivize high-quality maternity care and nonclinical perinatal support
A variety of recent bills in Congress address maternal health. The Mothers and Offspring Mortality and Morbidity Awareness (MOMMA) Act, for instance, also would specifically address maternal health disparities by improving data collection and reporting, improving maternal care, and advancing respectful, equitable care. It also would extend Medicaid and the Children’s Health Insurance Program coverage. Katie Shea Barrett, MPH, executive director of March for Moms, a coalition of families, health care practitioners, policy makers, and partners advocating for mothers’ and families’ health, notes in an essay for thehill.com that Medicaid coverage ends about 60 days postpartum, although half of the maternal deaths happen between 42 days and 1 year postpartum.
She writes: “[W]e have to directly address the disproportionate impact of maternal mortality on women of color by training providers in offering care that is culturally competent and free of implicit bias. Health systems must be aware and respectful of cultural norms when providing care and be mindful of buying into stereotypes based on race, ethnicity, and even underlying medical conditions like diabetes, which often lead to perceived discrimination and perpetuate systems of injustice.”
In April, Vice President Kamala Harris called for sweeping action to curb racial inequities in pregnancy and childbirth. In an email Q&A with STAT, she said, “With every day that goes by and every woman who dies, the need for action grows more urgent.”
Big drop in U.S. cervical cancer rates, mortality in younger women
The analysis adds to a growing body of evidence demonstrating vaccine-associated changes in cervical cancer incidence and mortality.
Previous data from the United Kingdom, published earlier in November, showed that cervical cancer rates were 87% lower among girls who received the HPV vaccine compared to previously unvaccinated generations. Based on the analysis, the authors concluded that the UK’s HPV immunization program “almost eliminated cervical cancer” in women born since September 1995.
The latest study, published Nov. 29 in JAMA Pediatrics , reports a 38% drop in cervical cancer incidence and a 43% decline in mortality among young women and girls after HPV vaccination was introduced in the United States.
“These results are encouraging,” Peter Sasieni, MD, of King’s College London, and senior author on the U.K. study, told this news organization in an email.
The difference in incidence rates between the U.K. and U.S. studies, Dr. Sasieni explained, is likely due to HPV vaccine coverage not expanding as significantly in the United States as it has in the United Kingdom, and “thus one would anticipate a lower impact on the population in the U.S.”
In the U.S. analysis, Justin Barnes, MD, a radiation oncology resident at Washington University, St. Louis, and colleagues examined cervical cancer incidence between January 2001 and December 2017 using Surveillance, Epidemiology, and End Results and National Program of Cancer Registries data as well as mortality data from the National Center for Health Statistics.
Dr. Barnes and colleagues then compared changes in cervical cancer incidence and mortality between prevaccination years (January 2001 to December 2005) and postvaccination years (January 2010 to December 2017) among three age cohorts – 15-24 years, 25-29 years, and 30-39 years.
“The older 2 groups were included as comparison, given their low vaccination rates,” Dr. Barnes and colleagues explained.
Results show that between the prevaccination and postvaccination periods, the incidence of cervical cancer dropped by 38% in the youngest cohort and by only 16% in the middle-aged group and 8% in the oldest cohort.
Women and girls in the youngest group saw a striking drop in mortality: a 43% decline, which translated to a mortality rate of 0.6 per 100,000.
On the other hand, the authors report a 4.7% decline in mortality in the oldest group and a 4.3% increase in mortality in the middle-aged group – translating to a mortality rate of 1.89 per 100,000 and 0.57 per 100,000, respectively.
Overall, “these nationwide data showed decreased cervical cancer incidence and mortality among women and girls aged 15-24 years after HPV vaccine introduction,” Dr. Barnes and colleagues wrote. The changes in cervical cancer incidence and mortality observed in the youngest age group “were greater than changes in those aged 25 to 29 years and 30 to 39 years, suggesting possible associations with HPV vaccination.”
This analysis lines up with previous evidence from U.S. epidemiologic data, which “have shown decreased cervical cancer incidence after vaccine implementation in women and girls aged 15 to 24 years but not older women.”
Although “the number of deaths and hence the number of potentially averted deaths in young women and girls was small,” the study adds to the current literature by “providing suggestive evidence for vaccine-associated decreases in cervical cancer mortality,” investigators concluded.
The authors have disclosed no relevant financial relationships.
A version of this article first appeared on Medscape.com.
The analysis adds to a growing body of evidence demonstrating vaccine-associated changes in cervical cancer incidence and mortality.
Previous data from the United Kingdom, published earlier in November, showed that cervical cancer rates were 87% lower among girls who received the HPV vaccine compared to previously unvaccinated generations. Based on the analysis, the authors concluded that the UK’s HPV immunization program “almost eliminated cervical cancer” in women born since September 1995.
The latest study, published Nov. 29 in JAMA Pediatrics , reports a 38% drop in cervical cancer incidence and a 43% decline in mortality among young women and girls after HPV vaccination was introduced in the United States.
“These results are encouraging,” Peter Sasieni, MD, of King’s College London, and senior author on the U.K. study, told this news organization in an email.
The difference in incidence rates between the U.K. and U.S. studies, Dr. Sasieni explained, is likely due to HPV vaccine coverage not expanding as significantly in the United States as it has in the United Kingdom, and “thus one would anticipate a lower impact on the population in the U.S.”
In the U.S. analysis, Justin Barnes, MD, a radiation oncology resident at Washington University, St. Louis, and colleagues examined cervical cancer incidence between January 2001 and December 2017 using Surveillance, Epidemiology, and End Results and National Program of Cancer Registries data as well as mortality data from the National Center for Health Statistics.
Dr. Barnes and colleagues then compared changes in cervical cancer incidence and mortality between prevaccination years (January 2001 to December 2005) and postvaccination years (January 2010 to December 2017) among three age cohorts – 15-24 years, 25-29 years, and 30-39 years.
“The older 2 groups were included as comparison, given their low vaccination rates,” Dr. Barnes and colleagues explained.
Results show that between the prevaccination and postvaccination periods, the incidence of cervical cancer dropped by 38% in the youngest cohort and by only 16% in the middle-aged group and 8% in the oldest cohort.
Women and girls in the youngest group saw a striking drop in mortality: a 43% decline, which translated to a mortality rate of 0.6 per 100,000.
On the other hand, the authors report a 4.7% decline in mortality in the oldest group and a 4.3% increase in mortality in the middle-aged group – translating to a mortality rate of 1.89 per 100,000 and 0.57 per 100,000, respectively.
Overall, “these nationwide data showed decreased cervical cancer incidence and mortality among women and girls aged 15-24 years after HPV vaccine introduction,” Dr. Barnes and colleagues wrote. The changes in cervical cancer incidence and mortality observed in the youngest age group “were greater than changes in those aged 25 to 29 years and 30 to 39 years, suggesting possible associations with HPV vaccination.”
This analysis lines up with previous evidence from U.S. epidemiologic data, which “have shown decreased cervical cancer incidence after vaccine implementation in women and girls aged 15 to 24 years but not older women.”
Although “the number of deaths and hence the number of potentially averted deaths in young women and girls was small,” the study adds to the current literature by “providing suggestive evidence for vaccine-associated decreases in cervical cancer mortality,” investigators concluded.
The authors have disclosed no relevant financial relationships.
A version of this article first appeared on Medscape.com.
The analysis adds to a growing body of evidence demonstrating vaccine-associated changes in cervical cancer incidence and mortality.
Previous data from the United Kingdom, published earlier in November, showed that cervical cancer rates were 87% lower among girls who received the HPV vaccine compared to previously unvaccinated generations. Based on the analysis, the authors concluded that the UK’s HPV immunization program “almost eliminated cervical cancer” in women born since September 1995.
The latest study, published Nov. 29 in JAMA Pediatrics , reports a 38% drop in cervical cancer incidence and a 43% decline in mortality among young women and girls after HPV vaccination was introduced in the United States.
“These results are encouraging,” Peter Sasieni, MD, of King’s College London, and senior author on the U.K. study, told this news organization in an email.
The difference in incidence rates between the U.K. and U.S. studies, Dr. Sasieni explained, is likely due to HPV vaccine coverage not expanding as significantly in the United States as it has in the United Kingdom, and “thus one would anticipate a lower impact on the population in the U.S.”
In the U.S. analysis, Justin Barnes, MD, a radiation oncology resident at Washington University, St. Louis, and colleagues examined cervical cancer incidence between January 2001 and December 2017 using Surveillance, Epidemiology, and End Results and National Program of Cancer Registries data as well as mortality data from the National Center for Health Statistics.
Dr. Barnes and colleagues then compared changes in cervical cancer incidence and mortality between prevaccination years (January 2001 to December 2005) and postvaccination years (January 2010 to December 2017) among three age cohorts – 15-24 years, 25-29 years, and 30-39 years.
“The older 2 groups were included as comparison, given their low vaccination rates,” Dr. Barnes and colleagues explained.
Results show that between the prevaccination and postvaccination periods, the incidence of cervical cancer dropped by 38% in the youngest cohort and by only 16% in the middle-aged group and 8% in the oldest cohort.
Women and girls in the youngest group saw a striking drop in mortality: a 43% decline, which translated to a mortality rate of 0.6 per 100,000.
On the other hand, the authors report a 4.7% decline in mortality in the oldest group and a 4.3% increase in mortality in the middle-aged group – translating to a mortality rate of 1.89 per 100,000 and 0.57 per 100,000, respectively.
Overall, “these nationwide data showed decreased cervical cancer incidence and mortality among women and girls aged 15-24 years after HPV vaccine introduction,” Dr. Barnes and colleagues wrote. The changes in cervical cancer incidence and mortality observed in the youngest age group “were greater than changes in those aged 25 to 29 years and 30 to 39 years, suggesting possible associations with HPV vaccination.”
This analysis lines up with previous evidence from U.S. epidemiologic data, which “have shown decreased cervical cancer incidence after vaccine implementation in women and girls aged 15 to 24 years but not older women.”
Although “the number of deaths and hence the number of potentially averted deaths in young women and girls was small,” the study adds to the current literature by “providing suggestive evidence for vaccine-associated decreases in cervical cancer mortality,” investigators concluded.
The authors have disclosed no relevant financial relationships.
A version of this article first appeared on Medscape.com.
FROM JAMA PEDIATRICS
Non–health care municipal services cut severe maternal morbidity rates
Municipal budget allocations can affect severe maternal morbidity (SMM) rates, a cross-sectional study published in JAMA Network Open reported.
Led by Felix M. Muchomba, PhD, an assistant professor at Rutgers University School of Social Work in New Brunswick, N.J., the study found that local expenditures on fire and ambulance, transportation, health, housing, and libraries were negatively associated with SMM. Specifically, annual per-capita expenditures of $1,000 and higher in these categories were associated with a 35.4%-67.3% lower risk of SMM: odds ratios, 0.33 (95% confidence interval, 0.15-0.72) to 0.65 (95% CI, 0.46-0.91).
In contrast, expenditures on police were positively associated with SMM: OR, 1.15 (95% CI, 1.04-1.28).
In the first study of environmental services spending and SMM done at the municipal level – others have focused on state and county funding – Dr. Muchomba’s group analyzed 2008-2018 birth files linked to maternal hospital discharge records and U.S. Census municipal expenditures data.
The study’s cohort comprised 1,001,410 mothers giving birth in New Jersey hospitals with a mean age of 29.8 years. Of these,10.9 % were Asian, 14.8% were Black, 28.0% were Hispanic, and 44.7% were White.
Per-capita municipal expenditures were reviewed for a broad range of city services: education, public health, fire and ambulance, parks, recreation, natural resources, housing, community development, public welfare; police; transportation, and libraries. “Each year municipalities spend about $600 billion nationwide on local services, investing far more than counties do,” Dr. Muchomba said.
Among developed nations, the United States has a rate of high maternal morbidity, a determinant of maternal mortality, and New Jersey has one of the highest rates in the country, although, paradoxically, it has one of the lowest state poverty rates and one of the highest state income levels, he added, said explaining the impetus for the study.
Previous research has found that state and local investment in non–health specific services can reduce infant mortality rates (IMR). Last year, for example, a national study of 2000-2016 data led by Neal D. Goldstein, PhD, MRI, an assistant professor of epidemiology and biostatistics at Drexel University in Philadelphia, reported that a $0.30 per-person increase in environmental spending was associated with a decrease of 0.03 deaths per 1,000 live births, and a $0.73 per-person increase in social services spending was associated with a decrease of 0.02 deaths per 1,000 live births. “IMR is reflective of, and amenable to broad social, economic, and health care delivery contexts within a society. State and local governments, via increased social and environmental expenditures, have the potential to reduce, albeit not eliminate, IMR disparities,” Dr. Goldstein’s group wrote in Pediatrics.
According to Aimee J. Palumbo, PhD, MPH, an assistant professor in the department of epidemiology & biostatistics in the College of Public Health at Temple University in Philadelphia, who was not involved in the study, the current study’s results are broadly consistent with those of the Goldstein study, of which she is a coauthor, in that it shows spending on public welfare is associated with better outcomes following birth.
“This analysis, however, is done at the municipality level, which allows it to evaluate variations in spending that occur at more local levels, rather than the state level like ours,” she said in an interview. “The researchers are also able to control for individual-level factors,” which is good as it is really suggestive of the impact that spending has on outcomes after controlling for some individual characteristics.”
Both studies speak to the importance of exploring funding for social services and specific programs that affect health, Dr. Palumbo added.
Services that affect nonmedical determinants of health broadly affect how people live their daily lives, Dr. Muchomba said – where they live, how they get to work and to medical appointments, where they shop, how they engage in recreation.
“Housing is very important for mothers since it provides a safe space to shelter during pregnancy and during recovery from childbirth. It’s a safe place to store medications and to prepare healthy food,” he continued. “But much of the housing in New Jersey is very expensive, and some mothers may have to decide between paying the rent and buying healthy food.”
In other benefits, local services spending provides transportation to jobs and health care, bus shelters, effective waste management, viable sidewalks, safe crosswalks, and public exercise venues that help to reduce obesity.
The category that Dr. Muchomba is most often asked about is libraries. “Why libraries? Our hypothesis is that libraries provide some low-income people with their only access to computers and the Internet. They’re a major resource for information and a proxy for the delivery of other services,” he said. In addition, many libraries offer English as a second language classes, which may increase health literacy among immigrants.
A major objective of the 2020 Maternal Health Action Plan of the U.S. Department of Health & Human Services is to better target resources by identifying problem spots for maternal morbidity and mortality. “Our findings strongly suggest that surveillance at the municipal level, a level rarely considered in studies of health outcomes, would be important for success in such efforts,” the authors wrote.
Dr. Muchomba believes doctors can have a role to play in targeting of spending for local services that can reduce maternal morbidity and mortality. “Many physicians are engaged in community health outreach efforts. As respected people in the community, they need to be aware of these other determinants of health that may be driving maternal morbidity rates in their communities.”
This research was supported by the Robert Wood Johnson Foundation, the National Center for Advancing Translational Sciences, the U.S. Department of Health & Human Services Health Resources and Service Administration and the Child Health Institute of New Jersey. Dr. Muchomba reported a grant from Eunice Kennedy Shriver National Institute of Child Health and Human Development outside of the submitted work. Dr. Palumbo had no potential competing interests to disclose.
Municipal budget allocations can affect severe maternal morbidity (SMM) rates, a cross-sectional study published in JAMA Network Open reported.
Led by Felix M. Muchomba, PhD, an assistant professor at Rutgers University School of Social Work in New Brunswick, N.J., the study found that local expenditures on fire and ambulance, transportation, health, housing, and libraries were negatively associated with SMM. Specifically, annual per-capita expenditures of $1,000 and higher in these categories were associated with a 35.4%-67.3% lower risk of SMM: odds ratios, 0.33 (95% confidence interval, 0.15-0.72) to 0.65 (95% CI, 0.46-0.91).
In contrast, expenditures on police were positively associated with SMM: OR, 1.15 (95% CI, 1.04-1.28).
In the first study of environmental services spending and SMM done at the municipal level – others have focused on state and county funding – Dr. Muchomba’s group analyzed 2008-2018 birth files linked to maternal hospital discharge records and U.S. Census municipal expenditures data.
The study’s cohort comprised 1,001,410 mothers giving birth in New Jersey hospitals with a mean age of 29.8 years. Of these,10.9 % were Asian, 14.8% were Black, 28.0% were Hispanic, and 44.7% were White.
Per-capita municipal expenditures were reviewed for a broad range of city services: education, public health, fire and ambulance, parks, recreation, natural resources, housing, community development, public welfare; police; transportation, and libraries. “Each year municipalities spend about $600 billion nationwide on local services, investing far more than counties do,” Dr. Muchomba said.
Among developed nations, the United States has a rate of high maternal morbidity, a determinant of maternal mortality, and New Jersey has one of the highest rates in the country, although, paradoxically, it has one of the lowest state poverty rates and one of the highest state income levels, he added, said explaining the impetus for the study.
Previous research has found that state and local investment in non–health specific services can reduce infant mortality rates (IMR). Last year, for example, a national study of 2000-2016 data led by Neal D. Goldstein, PhD, MRI, an assistant professor of epidemiology and biostatistics at Drexel University in Philadelphia, reported that a $0.30 per-person increase in environmental spending was associated with a decrease of 0.03 deaths per 1,000 live births, and a $0.73 per-person increase in social services spending was associated with a decrease of 0.02 deaths per 1,000 live births. “IMR is reflective of, and amenable to broad social, economic, and health care delivery contexts within a society. State and local governments, via increased social and environmental expenditures, have the potential to reduce, albeit not eliminate, IMR disparities,” Dr. Goldstein’s group wrote in Pediatrics.
According to Aimee J. Palumbo, PhD, MPH, an assistant professor in the department of epidemiology & biostatistics in the College of Public Health at Temple University in Philadelphia, who was not involved in the study, the current study’s results are broadly consistent with those of the Goldstein study, of which she is a coauthor, in that it shows spending on public welfare is associated with better outcomes following birth.
“This analysis, however, is done at the municipality level, which allows it to evaluate variations in spending that occur at more local levels, rather than the state level like ours,” she said in an interview. “The researchers are also able to control for individual-level factors,” which is good as it is really suggestive of the impact that spending has on outcomes after controlling for some individual characteristics.”
Both studies speak to the importance of exploring funding for social services and specific programs that affect health, Dr. Palumbo added.
Services that affect nonmedical determinants of health broadly affect how people live their daily lives, Dr. Muchomba said – where they live, how they get to work and to medical appointments, where they shop, how they engage in recreation.
“Housing is very important for mothers since it provides a safe space to shelter during pregnancy and during recovery from childbirth. It’s a safe place to store medications and to prepare healthy food,” he continued. “But much of the housing in New Jersey is very expensive, and some mothers may have to decide between paying the rent and buying healthy food.”
In other benefits, local services spending provides transportation to jobs and health care, bus shelters, effective waste management, viable sidewalks, safe crosswalks, and public exercise venues that help to reduce obesity.
The category that Dr. Muchomba is most often asked about is libraries. “Why libraries? Our hypothesis is that libraries provide some low-income people with their only access to computers and the Internet. They’re a major resource for information and a proxy for the delivery of other services,” he said. In addition, many libraries offer English as a second language classes, which may increase health literacy among immigrants.
A major objective of the 2020 Maternal Health Action Plan of the U.S. Department of Health & Human Services is to better target resources by identifying problem spots for maternal morbidity and mortality. “Our findings strongly suggest that surveillance at the municipal level, a level rarely considered in studies of health outcomes, would be important for success in such efforts,” the authors wrote.
Dr. Muchomba believes doctors can have a role to play in targeting of spending for local services that can reduce maternal morbidity and mortality. “Many physicians are engaged in community health outreach efforts. As respected people in the community, they need to be aware of these other determinants of health that may be driving maternal morbidity rates in their communities.”
This research was supported by the Robert Wood Johnson Foundation, the National Center for Advancing Translational Sciences, the U.S. Department of Health & Human Services Health Resources and Service Administration and the Child Health Institute of New Jersey. Dr. Muchomba reported a grant from Eunice Kennedy Shriver National Institute of Child Health and Human Development outside of the submitted work. Dr. Palumbo had no potential competing interests to disclose.
Municipal budget allocations can affect severe maternal morbidity (SMM) rates, a cross-sectional study published in JAMA Network Open reported.
Led by Felix M. Muchomba, PhD, an assistant professor at Rutgers University School of Social Work in New Brunswick, N.J., the study found that local expenditures on fire and ambulance, transportation, health, housing, and libraries were negatively associated with SMM. Specifically, annual per-capita expenditures of $1,000 and higher in these categories were associated with a 35.4%-67.3% lower risk of SMM: odds ratios, 0.33 (95% confidence interval, 0.15-0.72) to 0.65 (95% CI, 0.46-0.91).
In contrast, expenditures on police were positively associated with SMM: OR, 1.15 (95% CI, 1.04-1.28).
In the first study of environmental services spending and SMM done at the municipal level – others have focused on state and county funding – Dr. Muchomba’s group analyzed 2008-2018 birth files linked to maternal hospital discharge records and U.S. Census municipal expenditures data.
The study’s cohort comprised 1,001,410 mothers giving birth in New Jersey hospitals with a mean age of 29.8 years. Of these,10.9 % were Asian, 14.8% were Black, 28.0% were Hispanic, and 44.7% were White.
Per-capita municipal expenditures were reviewed for a broad range of city services: education, public health, fire and ambulance, parks, recreation, natural resources, housing, community development, public welfare; police; transportation, and libraries. “Each year municipalities spend about $600 billion nationwide on local services, investing far more than counties do,” Dr. Muchomba said.
Among developed nations, the United States has a rate of high maternal morbidity, a determinant of maternal mortality, and New Jersey has one of the highest rates in the country, although, paradoxically, it has one of the lowest state poverty rates and one of the highest state income levels, he added, said explaining the impetus for the study.
Previous research has found that state and local investment in non–health specific services can reduce infant mortality rates (IMR). Last year, for example, a national study of 2000-2016 data led by Neal D. Goldstein, PhD, MRI, an assistant professor of epidemiology and biostatistics at Drexel University in Philadelphia, reported that a $0.30 per-person increase in environmental spending was associated with a decrease of 0.03 deaths per 1,000 live births, and a $0.73 per-person increase in social services spending was associated with a decrease of 0.02 deaths per 1,000 live births. “IMR is reflective of, and amenable to broad social, economic, and health care delivery contexts within a society. State and local governments, via increased social and environmental expenditures, have the potential to reduce, albeit not eliminate, IMR disparities,” Dr. Goldstein’s group wrote in Pediatrics.
According to Aimee J. Palumbo, PhD, MPH, an assistant professor in the department of epidemiology & biostatistics in the College of Public Health at Temple University in Philadelphia, who was not involved in the study, the current study’s results are broadly consistent with those of the Goldstein study, of which she is a coauthor, in that it shows spending on public welfare is associated with better outcomes following birth.
“This analysis, however, is done at the municipality level, which allows it to evaluate variations in spending that occur at more local levels, rather than the state level like ours,” she said in an interview. “The researchers are also able to control for individual-level factors,” which is good as it is really suggestive of the impact that spending has on outcomes after controlling for some individual characteristics.”
Both studies speak to the importance of exploring funding for social services and specific programs that affect health, Dr. Palumbo added.
Services that affect nonmedical determinants of health broadly affect how people live their daily lives, Dr. Muchomba said – where they live, how they get to work and to medical appointments, where they shop, how they engage in recreation.
“Housing is very important for mothers since it provides a safe space to shelter during pregnancy and during recovery from childbirth. It’s a safe place to store medications and to prepare healthy food,” he continued. “But much of the housing in New Jersey is very expensive, and some mothers may have to decide between paying the rent and buying healthy food.”
In other benefits, local services spending provides transportation to jobs and health care, bus shelters, effective waste management, viable sidewalks, safe crosswalks, and public exercise venues that help to reduce obesity.
The category that Dr. Muchomba is most often asked about is libraries. “Why libraries? Our hypothesis is that libraries provide some low-income people with their only access to computers and the Internet. They’re a major resource for information and a proxy for the delivery of other services,” he said. In addition, many libraries offer English as a second language classes, which may increase health literacy among immigrants.
A major objective of the 2020 Maternal Health Action Plan of the U.S. Department of Health & Human Services is to better target resources by identifying problem spots for maternal morbidity and mortality. “Our findings strongly suggest that surveillance at the municipal level, a level rarely considered in studies of health outcomes, would be important for success in such efforts,” the authors wrote.
Dr. Muchomba believes doctors can have a role to play in targeting of spending for local services that can reduce maternal morbidity and mortality. “Many physicians are engaged in community health outreach efforts. As respected people in the community, they need to be aware of these other determinants of health that may be driving maternal morbidity rates in their communities.”
This research was supported by the Robert Wood Johnson Foundation, the National Center for Advancing Translational Sciences, the U.S. Department of Health & Human Services Health Resources and Service Administration and the Child Health Institute of New Jersey. Dr. Muchomba reported a grant from Eunice Kennedy Shriver National Institute of Child Health and Human Development outside of the submitted work. Dr. Palumbo had no potential competing interests to disclose.
JAMA NETWORK OPEN
New trials in gynecologic cancers: Could your patient benefit?
A number of clinical trials in gynecologic cancers have opened in recent months. Maybe one of your patients could benefit from being enrolled.
Uterine precancer (endometrial intraepithelial neoplasia). A phase 2 study sponsored by the National Cancer Institute is seeking adults with endometrial intraepithelial neoplasia (also called complex atypical hyperplasia or atypical hyperplasia) who are scheduled for hysterectomy within 3 months. Researchers are using the window of opportunity before an already-scheduled hysterectomy to see whether adding metformin to megestrol acetate, a treatment standard for nonsurgical patients, increases the effectiveness of megestrol in slowing this type of neoplasia. Participants will receive twice-daily oral medication for 4 weeks then undergo hysterectomy. The trial aims to enroll 50 participants. It began recruiting on Sept. 21 at its Northwestern University site in Evanston, Ill.; sites in California, Colorado, and North Carolina are also planned. The primary outcome is the change in endometrial cell proliferation. Overall survival (OS) and quality of life (QoL) will not be measured. .
Maurie Markman, MD, president of medicine and science at Cancer Treatment Centers of America, who is not involved in this trial, was approached for comment. “This is an interesting study concept, and patients with endometrial atypical hyperplasia may certainly wish to consider participation,” Dr. Markman said. He noted the “limited sample size” of the study.
Advanced, recurrent or refractory ovarian, fallopian, and endometrial cancers overexpressing folate receptor (FR)–alpha. Patients with these types of cancers are eligible for a phase 1/2 study of a new-concept targeted therapy called ELU-001. The molecular structure of ELU001 – called a C’Dot drug conjugate – consists of a drug “payload” riding with an FR-alpha–targeting molecule. For the first 28 days of the study, patients will receive escalating intravenous doses of ELU001 to determine the highest tolerated dose of the drug. All participants will then receive the selected dose for up to 12 months until lesions disappear (complete response) or there is a 30% decrease in the sum of the tumors’ longest diameter (partial response). This “basket” study – a trial involving a “basket” of different cancers with one genetic target – is hosted by New Experimental Therapeutics of San Antonio, which started recruitment for 166 patients on Sept. 13. Neither OS nor QoL will be tracked. .
Dr. Markman commented: “There is considerable interest in examining antineoplastic agents directed to tumor antigens overexpressed in ovarian cancer.”
Locally recurrent, unresectable, or metastatic cervical or endometrial cancer positive for PD-L1. Adults with these types of cancers are invited to join another basket trial, this time testing MK-7684A, a new coformulation of pembrolizumab (Keytruda) and the investigational drug vibostolimab. Most participants will receive intravenous infusions of either MK-7684A, MK-7684A plus chemotherapy, or pembrolizumab alone every 3 weeks for up to 3 years. One group will be given MK-7684A every 3 weeks plus paclitaxel weekly. People with endometrial cancer will also take a daily capsule of lenvatinib (Lenvima). The primary outcomes are response rate and progression-free survival; OS and QoL are secondary outcomes. The study opened on Sept. 16 and hopes to recruit 480 participants in eight countries with several different cancers, including cervical and endometrial cancers. U.S. patients can join at the City of Hope National Medical Center, Duarte, Calif. .
Persistent or recurrent rare epithelial tumors of the ovary, fallopian tube, or peritoneum. Adults with these cancers are sought for a phase 2 trial comparing four targeted-therapy regimens. Participants will receive either ipatasertib plus paclitaxel (Taxol); cobimetinib (Cotellic); trastuzumab emtansine (Kadcyla); or atezolizumab (Tecentriq) plus bevacizumab (Avastin) for up to 5 years until disease progression or unacceptable toxicity. Ipatasertib and cobimetinib are oral medications; all the others are administered intravenously on schedules that vary from once every 3 weeks (atezolizumab, trastuzumab) to weekly infusions 3 weeks out of 4 (paclitaxel). The study opened on Oct. 7 and hopes to enroll 200 participants at sites in Arizona, California, Minnesota, Missouri, Texas, Virginia, and worldwide. OS will be tracked, QoL will not.
Dr. Markman commented: “This is an interesting early study of the potential efficacy of a novel AKT inhibitor [ipatasertib] in rare gynecologic cancers.”
Platinum-resistant or refractory high-grade serous ovarian cancer. Adult women whose high-grade serous ovarian cancer is platinum resistant or refractory and who do not have germline BRCA mutations are sought for a phase 3 study comparing alpelisib (Piqray) plus olaparib (Lynparza) to investigator’s choice of chemotherapy. Alpelisib is approved for breast cancer in combination with fulvestrant; olaparib is approved for advanced ovarian cancer in platinum-responsive patients and/or those with BRCA- or HRD-positive tumors, so this study could lead to labeling changes for these drugs. Participants will either take daily oral doses of alpelisib plus olaparib or receive intravenous chemo on the appropriate schedules for approximately 2 years. Progression-free survival is the primary outcome measure; OS and QoL are secondary outcomes. The trial opened on July 2 and hopes to recruit 358 individuals in Singapore, Australia, Europe, and the United States (Arizona, Illinois, and Texas). .
All trial information is from the National Institutes of Health U.S. National Library of Medicine (online at clinicaltrials.gov).
Dr. Markman is not involved with any of these trials. He is a regular contributor to Medscape Oncology. He has received income in an amount equal to or greater than $250 from Genentech, AstraZeneca Celgene, Clovis, Amgen.
A version of this article first appeared on Medscape.com.
A number of clinical trials in gynecologic cancers have opened in recent months. Maybe one of your patients could benefit from being enrolled.
Uterine precancer (endometrial intraepithelial neoplasia). A phase 2 study sponsored by the National Cancer Institute is seeking adults with endometrial intraepithelial neoplasia (also called complex atypical hyperplasia or atypical hyperplasia) who are scheduled for hysterectomy within 3 months. Researchers are using the window of opportunity before an already-scheduled hysterectomy to see whether adding metformin to megestrol acetate, a treatment standard for nonsurgical patients, increases the effectiveness of megestrol in slowing this type of neoplasia. Participants will receive twice-daily oral medication for 4 weeks then undergo hysterectomy. The trial aims to enroll 50 participants. It began recruiting on Sept. 21 at its Northwestern University site in Evanston, Ill.; sites in California, Colorado, and North Carolina are also planned. The primary outcome is the change in endometrial cell proliferation. Overall survival (OS) and quality of life (QoL) will not be measured. .
Maurie Markman, MD, president of medicine and science at Cancer Treatment Centers of America, who is not involved in this trial, was approached for comment. “This is an interesting study concept, and patients with endometrial atypical hyperplasia may certainly wish to consider participation,” Dr. Markman said. He noted the “limited sample size” of the study.
Advanced, recurrent or refractory ovarian, fallopian, and endometrial cancers overexpressing folate receptor (FR)–alpha. Patients with these types of cancers are eligible for a phase 1/2 study of a new-concept targeted therapy called ELU-001. The molecular structure of ELU001 – called a C’Dot drug conjugate – consists of a drug “payload” riding with an FR-alpha–targeting molecule. For the first 28 days of the study, patients will receive escalating intravenous doses of ELU001 to determine the highest tolerated dose of the drug. All participants will then receive the selected dose for up to 12 months until lesions disappear (complete response) or there is a 30% decrease in the sum of the tumors’ longest diameter (partial response). This “basket” study – a trial involving a “basket” of different cancers with one genetic target – is hosted by New Experimental Therapeutics of San Antonio, which started recruitment for 166 patients on Sept. 13. Neither OS nor QoL will be tracked. .
Dr. Markman commented: “There is considerable interest in examining antineoplastic agents directed to tumor antigens overexpressed in ovarian cancer.”
Locally recurrent, unresectable, or metastatic cervical or endometrial cancer positive for PD-L1. Adults with these types of cancers are invited to join another basket trial, this time testing MK-7684A, a new coformulation of pembrolizumab (Keytruda) and the investigational drug vibostolimab. Most participants will receive intravenous infusions of either MK-7684A, MK-7684A plus chemotherapy, or pembrolizumab alone every 3 weeks for up to 3 years. One group will be given MK-7684A every 3 weeks plus paclitaxel weekly. People with endometrial cancer will also take a daily capsule of lenvatinib (Lenvima). The primary outcomes are response rate and progression-free survival; OS and QoL are secondary outcomes. The study opened on Sept. 16 and hopes to recruit 480 participants in eight countries with several different cancers, including cervical and endometrial cancers. U.S. patients can join at the City of Hope National Medical Center, Duarte, Calif. .
Persistent or recurrent rare epithelial tumors of the ovary, fallopian tube, or peritoneum. Adults with these cancers are sought for a phase 2 trial comparing four targeted-therapy regimens. Participants will receive either ipatasertib plus paclitaxel (Taxol); cobimetinib (Cotellic); trastuzumab emtansine (Kadcyla); or atezolizumab (Tecentriq) plus bevacizumab (Avastin) for up to 5 years until disease progression or unacceptable toxicity. Ipatasertib and cobimetinib are oral medications; all the others are administered intravenously on schedules that vary from once every 3 weeks (atezolizumab, trastuzumab) to weekly infusions 3 weeks out of 4 (paclitaxel). The study opened on Oct. 7 and hopes to enroll 200 participants at sites in Arizona, California, Minnesota, Missouri, Texas, Virginia, and worldwide. OS will be tracked, QoL will not.
Dr. Markman commented: “This is an interesting early study of the potential efficacy of a novel AKT inhibitor [ipatasertib] in rare gynecologic cancers.”
Platinum-resistant or refractory high-grade serous ovarian cancer. Adult women whose high-grade serous ovarian cancer is platinum resistant or refractory and who do not have germline BRCA mutations are sought for a phase 3 study comparing alpelisib (Piqray) plus olaparib (Lynparza) to investigator’s choice of chemotherapy. Alpelisib is approved for breast cancer in combination with fulvestrant; olaparib is approved for advanced ovarian cancer in platinum-responsive patients and/or those with BRCA- or HRD-positive tumors, so this study could lead to labeling changes for these drugs. Participants will either take daily oral doses of alpelisib plus olaparib or receive intravenous chemo on the appropriate schedules for approximately 2 years. Progression-free survival is the primary outcome measure; OS and QoL are secondary outcomes. The trial opened on July 2 and hopes to recruit 358 individuals in Singapore, Australia, Europe, and the United States (Arizona, Illinois, and Texas). .
All trial information is from the National Institutes of Health U.S. National Library of Medicine (online at clinicaltrials.gov).
Dr. Markman is not involved with any of these trials. He is a regular contributor to Medscape Oncology. He has received income in an amount equal to or greater than $250 from Genentech, AstraZeneca Celgene, Clovis, Amgen.
A version of this article first appeared on Medscape.com.
A number of clinical trials in gynecologic cancers have opened in recent months. Maybe one of your patients could benefit from being enrolled.
Uterine precancer (endometrial intraepithelial neoplasia). A phase 2 study sponsored by the National Cancer Institute is seeking adults with endometrial intraepithelial neoplasia (also called complex atypical hyperplasia or atypical hyperplasia) who are scheduled for hysterectomy within 3 months. Researchers are using the window of opportunity before an already-scheduled hysterectomy to see whether adding metformin to megestrol acetate, a treatment standard for nonsurgical patients, increases the effectiveness of megestrol in slowing this type of neoplasia. Participants will receive twice-daily oral medication for 4 weeks then undergo hysterectomy. The trial aims to enroll 50 participants. It began recruiting on Sept. 21 at its Northwestern University site in Evanston, Ill.; sites in California, Colorado, and North Carolina are also planned. The primary outcome is the change in endometrial cell proliferation. Overall survival (OS) and quality of life (QoL) will not be measured. .
Maurie Markman, MD, president of medicine and science at Cancer Treatment Centers of America, who is not involved in this trial, was approached for comment. “This is an interesting study concept, and patients with endometrial atypical hyperplasia may certainly wish to consider participation,” Dr. Markman said. He noted the “limited sample size” of the study.
Advanced, recurrent or refractory ovarian, fallopian, and endometrial cancers overexpressing folate receptor (FR)–alpha. Patients with these types of cancers are eligible for a phase 1/2 study of a new-concept targeted therapy called ELU-001. The molecular structure of ELU001 – called a C’Dot drug conjugate – consists of a drug “payload” riding with an FR-alpha–targeting molecule. For the first 28 days of the study, patients will receive escalating intravenous doses of ELU001 to determine the highest tolerated dose of the drug. All participants will then receive the selected dose for up to 12 months until lesions disappear (complete response) or there is a 30% decrease in the sum of the tumors’ longest diameter (partial response). This “basket” study – a trial involving a “basket” of different cancers with one genetic target – is hosted by New Experimental Therapeutics of San Antonio, which started recruitment for 166 patients on Sept. 13. Neither OS nor QoL will be tracked. .
Dr. Markman commented: “There is considerable interest in examining antineoplastic agents directed to tumor antigens overexpressed in ovarian cancer.”
Locally recurrent, unresectable, or metastatic cervical or endometrial cancer positive for PD-L1. Adults with these types of cancers are invited to join another basket trial, this time testing MK-7684A, a new coformulation of pembrolizumab (Keytruda) and the investigational drug vibostolimab. Most participants will receive intravenous infusions of either MK-7684A, MK-7684A plus chemotherapy, or pembrolizumab alone every 3 weeks for up to 3 years. One group will be given MK-7684A every 3 weeks plus paclitaxel weekly. People with endometrial cancer will also take a daily capsule of lenvatinib (Lenvima). The primary outcomes are response rate and progression-free survival; OS and QoL are secondary outcomes. The study opened on Sept. 16 and hopes to recruit 480 participants in eight countries with several different cancers, including cervical and endometrial cancers. U.S. patients can join at the City of Hope National Medical Center, Duarte, Calif. .
Persistent or recurrent rare epithelial tumors of the ovary, fallopian tube, or peritoneum. Adults with these cancers are sought for a phase 2 trial comparing four targeted-therapy regimens. Participants will receive either ipatasertib plus paclitaxel (Taxol); cobimetinib (Cotellic); trastuzumab emtansine (Kadcyla); or atezolizumab (Tecentriq) plus bevacizumab (Avastin) for up to 5 years until disease progression or unacceptable toxicity. Ipatasertib and cobimetinib are oral medications; all the others are administered intravenously on schedules that vary from once every 3 weeks (atezolizumab, trastuzumab) to weekly infusions 3 weeks out of 4 (paclitaxel). The study opened on Oct. 7 and hopes to enroll 200 participants at sites in Arizona, California, Minnesota, Missouri, Texas, Virginia, and worldwide. OS will be tracked, QoL will not.
Dr. Markman commented: “This is an interesting early study of the potential efficacy of a novel AKT inhibitor [ipatasertib] in rare gynecologic cancers.”
Platinum-resistant or refractory high-grade serous ovarian cancer. Adult women whose high-grade serous ovarian cancer is platinum resistant or refractory and who do not have germline BRCA mutations are sought for a phase 3 study comparing alpelisib (Piqray) plus olaparib (Lynparza) to investigator’s choice of chemotherapy. Alpelisib is approved for breast cancer in combination with fulvestrant; olaparib is approved for advanced ovarian cancer in platinum-responsive patients and/or those with BRCA- or HRD-positive tumors, so this study could lead to labeling changes for these drugs. Participants will either take daily oral doses of alpelisib plus olaparib or receive intravenous chemo on the appropriate schedules for approximately 2 years. Progression-free survival is the primary outcome measure; OS and QoL are secondary outcomes. The trial opened on July 2 and hopes to recruit 358 individuals in Singapore, Australia, Europe, and the United States (Arizona, Illinois, and Texas). .
All trial information is from the National Institutes of Health U.S. National Library of Medicine (online at clinicaltrials.gov).
Dr. Markman is not involved with any of these trials. He is a regular contributor to Medscape Oncology. He has received income in an amount equal to or greater than $250 from Genentech, AstraZeneca Celgene, Clovis, Amgen.
A version of this article first appeared on Medscape.com.
Association Between Physiotherapy Outcome Measures and the Functional Independence Measure: A Retrospective Analysis
From Illawarra Shoalhaven Local Health District, New South Wales, Australia (Maren Jones, Dr. Hewitt, Philippa King, Rhiannon Thorn, Edward Davidson, and Tiana-Lee Elphick), and Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, New South Wales, Australia (Dr. Hewitt)
Objective: To assess the association between change scores in the Functional Independence Measure (FIM) with evaluative measures used in physiotherapy to objectively show that use of the FIM in isolation is limited.
Design: Retrospective observational study.
Setting: Five rehabilitation inpatient wards from 1 public local health district in NSW Australia.
Participants: Patient data over a 5-year time frame (2015 to 2019) were reviewed (N = 2378). The patient data from the 3 most prevalent impairment groups (Australasian Rehabilitation Outcome Centre classification) were identified for inclusion in this study: Reconditioning (n = 742, mean age 76.88 years); Orthopedic Fracture (n = 585, mean age 77.46 years); and Orthopedic Replacement (n = 377, mean age 73.84 years).
Measurements: The difference between the admission and discharge scores were calculated for each measure. Kruskal-Wallis and χ2 tests were used to analyze the data.
Results: Pearson correlation (r) coefficients between FIM Motor change to the de Morton’s Mobility Index (DEMMI) change was r = 0.396, FIM Motor change to the Timed Up and Go (TUG) change was r = -0.217, and the FIM Motor change to the Ten Meter Walk Test (10MWT) change was .194.
Conclusion: The FIM Motor change scores showed a weak positive association to the DEMMI change and no association to the TUG and 10MWT change, demonstrating that the outcome measures do not measure the same attributes. To review rehabilitation effectiveness from a management perspective, it is recommended that all measures are reviewed to assess the burden of care, functional mobility, and dynamic balance.
Keywords: physiotherapy; rehabilitation; clinical outcome measures.
Patients receive interdisciplinary inpatient rehabilitation treatment after they have sustained a lower limb fracture, a lower limb joint replacement, or have generalized deconditioning (muscle wasting and disuse atrophy) following hospitalization for surgery or illness. The degree of a patient’s impairment or loss of functional capacity, as well as their ability to manage at home safely, is assessed using standardized outcome measures during their recovery and rehabilitation.1,2
Physiotherapists routinely use validated outcome measures to assess patient progress and to measure goal attainment through assessment of functional independence, dynamic balance performance, and ambulatory ability. These objective assessments provide clinicians with information about the effectiveness of the rehabilitation program, as well as the patient’s ability to manage in their home environment, to determine the need for assistive devices, level of caregiver support, future level of autonomy, and strategies for falls prevention.3-7
There is a view among service providers that rehabilitation decisions can be based on a singular measure of function known as the Functional Independence Measure (FIM). This is an understandable position because not only is the FIM an internationally recognized, valid, and reliable tool, but, as a singular measure, it also means measurement consistency across rehabilitation sites is more likely. However, rehabilitation is complex, and it is risky to base decisions on a single measure, which might not capture the results of rehabilitation treatment ingredients on individual patient targets.8,9
The patient’s progress is objectively assessed using functional outcome measures such as the FIM. Other measures used typically in our service include the de Morton’s Mobility Index (DEMMI), Timed Up and Go (TUG), and the Ten Meter Walk Test (10MWT), which measure patient mobility, balance during directional changes, and walking ability, respectively. Additional measures include patient progression to a less supportive level of assistance (ie, number of persons required to assist or level of supervision) or the selection of a walking aid (eg, forearm support frame, crutches). This progression—or lack thereof—assists in decision-making regarding the individual’s future once they are discharged from rehabilitation. Such considerations would include the need to modify the home environment, selection of assistive devices, community access (walking indoors, outdoors, and shopping), personal care needs, and age-appropriate care facility recommendations (ie, level of care). The use of outcome measures also indicates the need for further referrals to other care providers upon discharge from the rehabilitation facility.
There is widespread support in the literature for the use of the FIM, DEMMI, TUG, and 10MWT in rehabilitation population groups. For example, DEMMI has been validated in hip fracture patients during rehabilitation,10 as well as among older people hospitalized for medical illness.11-13 It has also been shown to be a predictor of discharge destination for patients living with frailty in geriatric rehabilitation settings,14 and to have moderate predictive validity for functional independence after 4 weeks of rehabilitation.15 Similarly, TUG has been validated for use among hospitalized and community-dwelling individuals,16-18 and for patients after joint arthroplasty19,20 or hip fracture.21 It has also been shown to be an indicator of fall risk,22-24 as well as a predictor of fracture incidence.25 Furthermore, TUG has been identified as an indicator of a patient’s ability to walk in the community without the need for a walking device.26 It has also been shown to be an early identifier of patients in need of rehabilitation.27 Normative values for TUG have been reported, and the association with gait time established.28
Gait speed has been shown to predict adverse outcomes in community-dwelling older people.29 In fact, the 10MWT has been established as a powerful tool to benchmark rehabilitation recovery after a medical event.30 Results of the test relate to overall quality of walking, health status, morbidity, and the rate of mortality.31-33 Meaningful improvement, minimum detectable change (0.19-0.34 m/s), and responsiveness in common physical performance in older adults has been reported.26,34,36
Structural and functional impairment has been used to define rehabilitation classes by the Australasian Rehabilitation Outcome Centre (AROC) in the Australian National Sub-Acute and Non-Acute Patient Classification (AN-SNAP) Version 4.37-43 Variables used for grouping are age, care type, function, and impairment for rehabilitation. FIM was developed in order to assess patients’ outcomes after inpatient multidisciplinary care, and is an internationally accepted measure of functioning.44 It is a holistic outcome measure, which can be used to determine the patient’s level of disability and burden of care, and is widely used in both public and private inpatient rehabilitation settings. Each patient classification is reported separately within the case mix structure.45 Inpatient rehabilitation centers are evaluated and compared by the AROC,46 with an emphasis on length of stay and the FIM change. The most successful centers demonstrate shorter length of stay and greater FIM improvement. Although the FIM is a valuable measure, it does not provide a complete picture of the individual patient’s rehabilitation gain: ie, the specific attributes of patients’ mobility, walking ability, or balance during directional changes.
A large-scale analysis of the association between the holistic disability measure of the FIM and the more mobility- and ambulation-focused physiotherapy outcomes has not been documented.
The well-documented DEMMI accumulates points for the patient’s mobility in a similar fashion to the FIM, but with more mobility detail. These 2 outcome measures allow for the full range of patients, from the very dependent up to and including the independently ambulant patients. The DEMMI may show a positive relationship to the FIM, yet the association is unknown. The association of the TUG to the 10MWT has been established28; however, their relationship to the FIM is unknown.
Current practice in the participating public health inpatient rehabilitation wards is to use the DEMMI, TUG, 10MWT, and FIM to ensure physiotherapy and allow the wider multidisciplinary team to more effectively evaluate patient mobility outcomes. The 3 most frequent patient groups identified within the current patient population are expected to present clinical differences and will be analyzed for comparison. If an association is found between the outcome measures in question, clinical efficiency could be improved.
The aim of the current study is to assess the association between change scores in the FIM with evaluative measures of outcomes typically used in physiotherapy to objectively show that use of the FIM in isolation is limited in our population of patients.
Methods
Study design and setting
This retrospective descriptive observational study complied with the STROBE-RECORD guidance and checklist (available at mdedge.com/jcomjournal) and analyzed the routinely collected data from rehabilitation patients who were admitted to 5 different rehabilitation wards in 4 different public hospitals from 1 regional local health district (20-24 beds per ward) from 2015 to 2019. As this study conducted secondary analyses using existing de-identified data from a public health facility and did not involve interaction with any human subjects, ethical approval was not required.46 Approval to conduct this study was granted by the health district’s institutional review committee, as per the National Statement on Ethical Conduct in Human Research 2015.
Participants
Patient data over a 5-year time frame were reviewed (N = 2378). The patient data from the 3 most prevalent impairment groups were identified for inclusion in this study: reconditioning, orthopedic fracture, and orthopedic replacement. (See Table 1 for the specific AN-SNAP impairment groups used in this study.)
Patient data from the less-frequent impairment groups were excluded (n = 673, 28.19%), including stroke (n = 343), brain dysfunction (n = 45), amputation of limb (n = 45), spinal cord dysfunction (n = 36), neurological dysfunction (n = 34), cardiac (n = 24), and others (n = 25) who may have benefitted from other outcome measures due to their medical condition. Ten patient data sets were excluded for missing discharge outcome measure data, from when the patient became ill and returned to acute services or was discharged at short notice. To be included in the study, both the admission and discharge scores from the FIM and the admission and discharge scores from at least 1 of the physiotherapy outcome measures were required for each patient (n = 1704, 71.39%): Reconditioning (n = 742), Orthopedic Fracture (n = 585), and Orthopedic Replacement (n = 377). Information regarding the type of walking aid and the amount of assistance required for safe ambulation was also recorded. These items were included in the study’s descriptive analysis. Only 1.7% of these descriptors were missing.
Outcome measures
DEMMI tasks of bed mobility, sitting balance, transfers, walking, and balance were scored with an assigned value according to the patient’s performance. This was then tallied and the results scaled, to provide an overall score out of 100 available points. The total score from admission and discharge was then compared. Improvement (change) was identified by the increase in scores.
The TUG assesses a patient’s dynamic balance performance.47 The number of seconds it took the patient to complete the procedure was recorded at admission and discharge. Improvement (change) was identified by the reduction in time taken at discharge from the admission score.
The 10MWT measures the unidirectional walking speed of a person over 10 meters and is recorded in seconds and reported in meters per second. Improvement (change) was identified by the reduction in the time taken to increase walking speed.
Concurrent to the physiotherapy measures were the FIM scores, recorded by the accredited nursing staff from each rehabilitation ward. Improvement is demonstrated by the accumulation of points on the ordinal scale of the FIM Total, including mobility, dressing, bladder and bowel care, cognition, and social interaction, and is represented as a score between 18 and 126. The FIM Motor category is reported as a score between 13 and 91.
The 2 data sets were matched by unique identifier and admission dates, then de-identified for analysis.
Statistical analysis
Patient demographic information was analyzed using descriptive statistics (mean, SD, frequencies, percentages) for each impairment group (orthopedic fracture, orthopedic replacement, reconditioning). Differences in continuous demographic variables for each impairment group were assessed using Kruskal-Wallis tests and χ2 tests for categorical variables. Functional outcome scores were compared at admission, discharge, and change between the impairment groups. Association of the functional outcome change scores was determined with the Pearson correlation coefficient (r) between the FIM and the DEMMI, TUG, and 10MWT. Graphs were plotted for each of these (Figure available online at mdedge.com/jcomjournal). A strong, moderate, and weak association was described as > 0.6, > 0.4, and > 0.2, respectively.46 Statistical significance was set at P < .05. Analyses were conducted using Stata (StataCorp LLC, USA).
Results
The patient descriptive data (site from which data were collected, admission length of stay, age at admission, discharge destination, walk aid improvement, and walk assistance improvement) from the 3 impairment groups are reported in Table 2. The functional outcomes for DEMMI, TUG, 10MWT, FIM Motor, FIM Total at admission, discharge, and the change scores are presented in Table 3.
Orthopedic fracture patients had the greatest improvement in their functional outcomes, with a DEMMI improvement of 18 points, TUG score change of 23.49 seconds (s), 10MWT change of 0.30 meters/second (m/s), FIM Motor change of 20.62, and a FIM Total change of 21.9 points. The outcome measures exceeded the minimum detectable change as reported in the literature for DEMMI (8.8 points48), TUG (2.08 s26), walking speed 0.19 m/s26, and FIM Motor (14.6 points49).
Association of functional outcomes (change scores)
There was a significant weak positive correlation between DEMMI change score and both the FIM Motor (r = 0.396) and FIM Total change scores (r = 0.373). When viewing the specific items within the FIM Motor labelled FIM Walk change, FIM MobilityBedChair change, and FIM stairs change, r values were 0.100, 0.379, and 0.126, respectively. In addition, there was a weak negative correlation between TUG change scores and both FIM Motor (r = -0.217) and FIM Total change scores (r = -0.207). There was a very weak positive correlation between 10MWT (m/s) change scores and both FIM Motor (r = 0.194) and FIM Total change scores (r = 0.187) (Table 4, Figure). There was a moderate correlation between 10MWT change (s) and TUG change (s) (r = 0.72, P < .001).
Discussion
The purpose of this study was to ascertain the association between the DEMMI, TUG, 10MWT, and FIM measures using retrospective data collected from 5 public hospital inpatient rehabilitation wards. The results of this retrospective analysis demonstrate that a variety of objective outcome measures are required for the multidisciplinary team to accurately measure a patient’s functional improvement during their inpatient rehabilitation stay. No single outcome measure in this study fully reported all mobility attributes, and we note the risk of basing decisions on a single measure evaluating rehabilitation outcomes. Although the internationally used FIM has a strong place in rehabilitation reporting and benchmarking, it does not predict change nor provide a proxy for the patient’s whole-body motor control as they extend their mobility, dynamic balance, and ambulatory ability. Multiple objective outcome measures should therefore be required to evaluate the patient’s progress and functional performance toward discharge planning.
The FIM is a measure of disability or care needs, incorporating cognitive, social, and physical components of disability. It is a valid, holistic measure of an individual’s functional ability at a given time. Rehabilitation sites internationally utilize this assessment tool to evaluate a patient’s progress and the efficacy of intervention. The strength of this measure is its widespread use and the inclusion of the personal activities of daily living to provide an overall evaluation encompassing all aspects of a person’s ability to function independently. However, as our study results suggest, patient improvement measured by the FIM Motor components were not correlated to other widely used physiotherapy measures of ambulation and balance, such as the 10MWT or TUG. This is perhaps largely because the FIM Motor components only consider the level of assistance (eg, physical assistance, assistive device, independence) and do not consider assessment of balance and gait ability as assessed in the 10MWT and TUG. The 10MWT and TUG provide assessment of velocity and dynamic balance during walking, which have been shown to predict an individual’s risk of falling.22,23 This is a pertinent issue in the rehabilitation and geriatric population.29 Furthermore, the use of the FIM as a benchmarking tool to compare facility efficiency may not provide a complete assessment of all outcomes achieved on the inpatient rehabilitation ward, such as reduced falls risk or improved ambulatory ability and balance.
Of the objective measures evaluated in our paper, the DEMMI assessment has the most similar components to those of the FIM Motor. It includes evaluating independence with bed mobility, standing up, and ambulation. In addition, the DEMMI includes assessment of both static and dynamic balance. As a result of these commonalities, there was only a weak positive correlation between the change in DEMMI and the change in FIM Motor and FIM Total. However, this correlation is not statistically significant. Therefore, the FIM is not recommended as a replacement of the DEMMI, nor can one be used to predict the other.
It has previously been confirmed that there is a significant positive correlation between the 10MWT and the TUG.27 This retrospective analysis has also supported these findings. This is possibly due to the similarity in the assessments, as they both incorporate ambulation ability and dynamic movement.
Each of the 4 outcome measures assess different yet vital aspects of an individual’s functional mobility and ambulation ability during their subacute rehabilitation journey. The diversity of patient age, functional impairment, and mobility level needs a range of outcomes to provide baselines, targets, and goal attainment for discharge home.
Consistent with the AROC AN-SNAP reporting of Length of Stay and FIM change separated into the weighted impairment groups, the data analysis of this study demonstrated significant differences between the Reconditioning, Orthopedic Fracture, and Orthopedic Replacement patient data. Tables 2 and 3 describe the differences between the groups. The fracture population in this study improved the most across each outcome measure. In contrast, the reconditioning population showed the least improvement. This may be expected due to the pathophysiological differences between the groups. Furthermore, for the elderly who sustain fractures because of a fall, rehabilitation will be required to address not only the presenting injury but also the premorbid falls risk factors which may include polypharmacy or impaired balance.
Any conclusions drawn from the findings of this study need to take into consideration that it has focused on patients from 1 local health district and therefore may not be generalizable to a wider national or international context. As this study was a retrospective study, controlling for data collection quality, measurement bias due to nonblinding and missing data is a limitation. However, clinicians regularly completed these outcome assessments and recorded this information as part of their standard care practices within this health district. There may have been slight differences in definitions of practice between the 5 rehabilitation sites. To ensure reliability, each individual site’s protocols for the FIM, DEMMI, TUG, and 10MWT were reviewed and confirmed to be consistent.
It is important, too, to consider the ceiling effect for the FIM scores. For patients requiring a walking aid well after discharge, the highest level of independence from the walking aid will not be achieved. It is acknowledged that the floor effect of the 10MWT and TUG may also influence the outcomes of this study. In addition, data were not collected on preadmission functional measures to enable further evaluation of the population groups. The proportion of variance in change from admission to discharge for TUG and 10MWT to FIM was less than 5%, so the correlation interpretation from this type of scaling is limited. Further research into outcome measures for inpatient rehabilitation in respect to variables such as patient age, length of stay, discharge destination, and efficacy of intervention is warranted.
Conclusion
The FIM Motor change scores showed a weak positive association to the DEMMI change, and no association to the TUG and 10MWT change, demonstrating that the outcome measures do not measure the same attributes. Thorough reporting of clinical outcomes is much more meaningful to assess and guide the physiotherapy component of rehabilitation. To review rehabilitation effectiveness from a management perspective, it is recommended that all measures are reviewed to assess the burden of care, mobility, functional capacity, and dynamic balance.
Acknowledgements: The authors thank Anne Smith, MSHLM, BAppSc, Head of the Physiotherapy Department, and the physiotherapists and allied health assistants who have contributed to the collection of this valuable data over several years. They also thank Lina Baytieh, MS, BS, from Research Central, Illawarra Shoalhaven Local Health District, for her assistance with the analysis.
Corresponding author: Maren Jones, MPH, BS, Physiotherapy Department, Port Kembla Hospital, Illawarra Shoalhaven Local Health District, Warrawong, New South Wales, 2505 Australia; maren.jones@health.nsw.gov.au.
Financial disclosures: None.
1. Centers for Disease Control and Prevention. Disability and health overview. Impairments, activity limitations and participation restrictions. September 16, 2020. https://www.cdc.gov/ncbddd/disabilityandhealth/disability.html
2. The Royal Australasian College of Physicians. Australasian Faculty of Rehabilitation Medicine. Standards for the Provision of Inpatient Adult Rehabilitation Medicine Services in Public and Private Hospitals. February 2019:7-9. https://www.racp.edu.au/docs/default-source/advocacy-library/afrm-standards-for-the-provision-of-inpatient-adult-rehabilitation-medicine-services-in-public-and-private-hospitals.pdf?sfvrsn=4690171a_4
3. NSW Agency for Clinical Innovation. NSW rehabilitation model of care. June 1, 2015. https://aci.health.nsw.gov.au/resources/rehabilitation/rehabilitation-model-of-care/rehabilitation-moc
4. The State of Queensland (Queensland Health). Clinical task instructions. June 22, 2021. https://www.health.qld.gov.au/ahwac/html/clintaskinstructions
5. Panel on Prevention of Falls in Older Persons, American Geriatrics Society and British Geriatrics Society. Summary of the updated American Geriatrics Society/British Geriatrics Society clinical practice guideline for prevention of falls in older persons. J Am Geriatr Soc. 2011;59(1):148-157. doi:10.1111/j.1532-5415.2010.03234.x
6. Suwannarat P, Kaewsanmung S, Thaweewannakij T, Amatachaya S. The use of functional performance tests by primary health-care providers to determine walking ability with and without a walking device in community-dwelling elderly. Physiother Theory Pract. 2021;37(1):64-72. doi:10.1080/09593985.2019.1606372
7. Lee K-J, Um S-H, Kim Y-H. Postoperative rehabilitation after hip fracture: a literature review. Hip Pelvis. 2020;32(3):125-131. doi:10.5371/hp.2020.32.3.125
8. Wade DT, Smeets RJEM, Verbunt JA. Research in rehabilitation medicine: methodological challenges. J Clin Epidemiol. 2010;63(7):699-704. doi:10.1016/j.clinepi.2009.07.010
9. Wade DT. Outcome measures for clinical rehabilitation trials: impairment, function, quality of life, or value? Am J Phys Med Rehabil. 2003;82(suppl 10):S26-S31. doi:10.1097/01.PHM.0000086996.89383.A1
10. de Morton NA, Harding KE, Taylor NF, Harrison G. Validity of the de Morton NA Mobility Index (DEMMI) for measuring the mobility of patients with hip fracture during rehabilitation. Disabil Rehabil. 2013;35(4):325-333. doi:10.3109/09638288.2012.705220
11. Trøstrup J, Andersen H, Kam CAM, et al. Assessment of mobility in older people hospitalized for medical illness using the de Morton Mobility Index and cumulated ambulation score—validity and minimal clinical important difference. J Geriatr Phys Ther. 2019;42(3):153-160. doi:10.1519/JPT.0000000000000170
12. Gazzoti A, Meyer U, Freystaetter G, et al. Physical performance among patients aged 70+ in acute care: a preliminary comparison between the Short Physical Performance Battery and the De Morton Mobility Index with regard to sensitivity to change and prediction of discharge destination. Aging Clin Exp Res. 2020;32(4):579-586. doi:10.1007/s40520-019-1249-9
13. Tavares LS, Moreno NA, de Aquino BG, et al. Reliability, validity, interpretability and responsiveness of the DEMMI mobility index for Brazilian older hospitalized patients. PLoS One. 2020;15(3):e0230047. doi:10.1371/journal.pone.0230047
14. Braun T, Schulz R-J, Reinke J. Reliability and validity of the German translation of the de Morton Mobility Index performed by physiotherapists in patients admitted to a sub-acute inpatient geriatric rehabilitation hospital. BMC Geriatr. 2015;15:38. doi:10.1186/s12877-015-0035-y
15. Søndergaard K, Petersen LE, Pedersen MK, et al. The responsiveness and predictive validity of the de Morton Mobility Index in geriatric rehabilitation. Disabil Rehabil. 2020 Jun 12. [Epub ahead of print] doi:10.1080/09638288.2020.1771438
16. de Morton NA, Brusco NK, Wood L, et al. The de Morton Mobility Index (DEMMI) provides a valid method for measuring and monitoring the mobility of patients making the transition from hospital to the community: an observational study. J Physiother. 2011;57(2):109-116. doi:10.1016/S1836-9553(11)70021-2
17. Caronni A, Sterpi I, Antoniotti P, et al. Criterion validity of the instrumented Timed Up and Go test: a partial least square regression study. Gait Posture. 2018;61(3):287-293. doi:10.1016/j.gaitpost.2018.01.015
18. Kristensen MT, Bloch ML, Jonsson LR, Jakobsen TL. Interrater reliability of the standardized Timed Up and Go Test when used in hospitalized and community-dwelling individuals. Physiother Res Int. 2019;24(2):e1769. doi:10.1002/pri.1769
19. Yuksel E, Kalkan S, Cekmece S, et al. Assessing minimal detectable changes and test-retest reliability of the timed up and go test and 2-minute walk test in patients with total knee arthroplasty. J Arthroplasty. 2017;32(2):426-430. doi:10.1016/j.arth.2016.07.031
20. Yuksel E, Unver B, Kalkan S, Karatosun V. Reliability and minimal detectable change of the 2-minute walk test and Timed Up and Go test in patients with total hip arthroplasty. Hip Int. 2021;31(1):43-49. doi:10.1177/1120700019888614
21. Faleide AGH, Bogen BE, Magnussen LH. Intra-session test-retest reliability of the Timed “Up & Go” Test when performed by patients with hip fractures. Eur J Physiother. 2015;17(2):89-97. doi:10.3109/21679169.2015.1043579
22. Barry E, Galvin R, Keogh C, et al. Is the timed up and go test a useful predictor of risk of falls in community dwelling older adults: a systematic review and meta- analysis. BMC Geriatr. 2014;14:14. doi:10.1186/1471-2318-14-14
23. Kojima G, Masud T, Kendrick D, et al. Does the timed up and go test predict future falls among British community-dwelling older people? Prospective cohort study nested within a randomised controlled trial. BMC Geriatr. 2015;15:38. doi:10.1186/s12877-015-0039-7
24. Shumway-Cook A, Brauer S, Woollacott M. Predicting the probability for falls in community-dwelling older adults using the timed up & go test. Phys Ther. 2000;80(9):896-903.
25. Jeong SM, Shin DW, Han K, et al. Timed Up-and-Go test is a useful predictor of fracture incidence. Bone. 2019;127:474-481. doi:10.1016/j.bone.2019.07.018
26. Donaghue OA, Savva GM, Börsch-Supan A, Kenny RA. Reliability, measurement error and minimum detectable change in reliability measurement error and minimum detectable change in mobility measures: a cohort study of community dwelling adults aged 50 years and over in Ireland. BMJ Open. 2019;9(11):e030475. doi:10/1136.bmjopen-2019-030475
27. Freter SH, Fruchter N. Relationship between timed ‘up and go’ and gait time in an elderly orthopaedic rehabilitation population. Clin Rehabil. 2000;14(1):96-101. doi:10.1191/026921500675545616
28. Kear BM, Guck TP, McGaha AL. Timed up and go (TUG) test: normative reference values for ages 20 to 59 years and relationships with physical and mental health risk factors. J Prim Care Community Health. 2017;8(1):9-13. doi:10.1177/2150131916659282
29. Abellan van Kan G, Rolland Y, Andrieu S, et al. Gait speed at usual pace as a predictor of adverse outcomes in community-dwelling older people: an International Academy on Nutrition and Aging (IANA) Task Force. J Nutr Health Aging. 2009;13(10)881-889. doi:10.1007/s12603-009-0246-z
30. Unver B, Baris RH, Yusel E, et al. Reliability of 4-meter and 10-meter walk tests after lower extremity surgery. Disabil Rehabil. 2017;39(25):2572-2576. doi:10.1080/09638288.2016.1236153
31. Fritz S, Lusardi M. White paper: “walking speed: the sixth vital sign.” J Geriatr Phys Ther. 2009;32(2):46-49.
32. Studenski S, Perera S, Patel K, et al. Gait speed and survival in older adults. JAMA. 2011;305(1):50-58. doi:10.1001/jama.2010.1923
33. Bohannon R. Comfortable and maximum walking speed of adults aged 20-79 years: reference values and determinants. Age Ageing. 1997;26(1):15-19. doi:10.1093/ageing/26.1.15
34. Perera S, Mody SH, Woodman RC, Studenski SA. Meaningful change and responsiveness in common physical performance in older adults. J Am Geriatr Soc. 2006;54(5):743-749. doi:10.1111/j.1532-5415.2006.00701.x
35. Hollman J, Beckman B, Brandt R, et al. Minimum detectable change in gait velocity during acute rehabilitation following hip fracture. J Geriatr Phys Ther. 2008;31(2):53-56. doi:10.1519/00139143-200831020-00003
36. Bohannon RW, Andrews AW. Normal walking speed: a descriptive meta-analysis. Physiotherapy. 2011;97(3):182-189. doi:10.1016/j.physio.2010.12.004
37. Granger CV, Hamilton BB, Keith RA, et al. Advances in functional assessment for medical rehabilitation. Top Geriatr Rehabil. 1986;1:59-74.
38. Keith RA, Granger CV, Hamilton BB, Sherwin FS. The Functional Independence Measure: a new tool for rehabilitation. In: Eisenberg MG, Grzesiak RC, eds. Advances in Clinical Rehabilitation. Springer-Verlag; 1987:6-18.
39. Linacre JM, Heinemann AW, Wright BD, et al. The structure and stability of the Functional Independence Measure. Arch Phys Med Rehabil. 1994;75(2):127-132.
40. Coster WJ, Haley SM, Jette AM. Measuring patient-reported outcomes after discharge from inpatient rehabilitation settings. J Rehabil Med. 2006;38(4):237-242. doi:10.1080/16501970600609774
41. Street L. Frequently asked questions about FIM. Journal of the Australasian Rehabilitation Nurses Association. 2014;17(1):21-22. https://ro.uow.edu.au/ahsri/296/
42. Green JP, Gordon R, Blanchard MB, et al. Development of the Australian National Subacute and Non-acute Patient (AN-SNAP) Classification. Version 4 Final Report. Australian Health Services Research Institute, University of Wollongong, 2015. https://ro.uow.edu.au/ahsri/760
43. Australasian Rehabilitation Outcomes Centre. University of Wollongong, Australia. https://www.uow.edu.au/ahsri/aroc/
44. Green J, Gordon R, Kobel C, et al; Centre for Health Service Development. The Australian National Subacute and Non-acute Patient Classification. AN-SNAP V4 User Manual. May 2015. https://documents.uow.edu.au/content/groups/public/@web/@chsd/@aroc/documents/doc/uow194637.pdf
45. Alexander TL, Simmonds FD, Capelle JT, Green LJ. Anywhere Hospital AROC Impairment Specific Report on Reconditioning (Inpatient–Pathway 3), July 2018–June 2019. Australasian Rehabilitation Outcomes Centre, Australian Health Services Research Institute, University of Wollongong; 2019. ro.uow.edu.au/ahsri/1110
46. Evans JD. Straightforward Statistics for the Behavioural Sciences. Brooks/Cole Publishing; 1996.
47. Lee SP, Dufek J, Hickman R, Schuerman S. Influence of procedural factors on the reliability and performance of the timed up-and-go test in older adults. Int J Gerontol. 2016;10(1):37-42. doi:10.1016/j.ijge.2015
48. New PW, Scroggie GD, Williams CM. The validity, reliability, responsiveness and minimal clinically important difference of the de Morton Mobility Index in rehabilitation. Disabil Rehabil. 2017;39(10):1039-1043. doi:10.10801/09638288.2016.1179800
49. Nakaguchi T, Ishimoto Y, Akazawa N. Functional Independence Measure for patients with locomotor disorders in convalescent rehabilitation wards. Clinically significant minimum difference in exercise score gain. Physiotherapy Science. 2018;33(2):235-240.
From Illawarra Shoalhaven Local Health District, New South Wales, Australia (Maren Jones, Dr. Hewitt, Philippa King, Rhiannon Thorn, Edward Davidson, and Tiana-Lee Elphick), and Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, New South Wales, Australia (Dr. Hewitt)
Objective: To assess the association between change scores in the Functional Independence Measure (FIM) with evaluative measures used in physiotherapy to objectively show that use of the FIM in isolation is limited.
Design: Retrospective observational study.
Setting: Five rehabilitation inpatient wards from 1 public local health district in NSW Australia.
Participants: Patient data over a 5-year time frame (2015 to 2019) were reviewed (N = 2378). The patient data from the 3 most prevalent impairment groups (Australasian Rehabilitation Outcome Centre classification) were identified for inclusion in this study: Reconditioning (n = 742, mean age 76.88 years); Orthopedic Fracture (n = 585, mean age 77.46 years); and Orthopedic Replacement (n = 377, mean age 73.84 years).
Measurements: The difference between the admission and discharge scores were calculated for each measure. Kruskal-Wallis and χ2 tests were used to analyze the data.
Results: Pearson correlation (r) coefficients between FIM Motor change to the de Morton’s Mobility Index (DEMMI) change was r = 0.396, FIM Motor change to the Timed Up and Go (TUG) change was r = -0.217, and the FIM Motor change to the Ten Meter Walk Test (10MWT) change was .194.
Conclusion: The FIM Motor change scores showed a weak positive association to the DEMMI change and no association to the TUG and 10MWT change, demonstrating that the outcome measures do not measure the same attributes. To review rehabilitation effectiveness from a management perspective, it is recommended that all measures are reviewed to assess the burden of care, functional mobility, and dynamic balance.
Keywords: physiotherapy; rehabilitation; clinical outcome measures.
Patients receive interdisciplinary inpatient rehabilitation treatment after they have sustained a lower limb fracture, a lower limb joint replacement, or have generalized deconditioning (muscle wasting and disuse atrophy) following hospitalization for surgery or illness. The degree of a patient’s impairment or loss of functional capacity, as well as their ability to manage at home safely, is assessed using standardized outcome measures during their recovery and rehabilitation.1,2
Physiotherapists routinely use validated outcome measures to assess patient progress and to measure goal attainment through assessment of functional independence, dynamic balance performance, and ambulatory ability. These objective assessments provide clinicians with information about the effectiveness of the rehabilitation program, as well as the patient’s ability to manage in their home environment, to determine the need for assistive devices, level of caregiver support, future level of autonomy, and strategies for falls prevention.3-7
There is a view among service providers that rehabilitation decisions can be based on a singular measure of function known as the Functional Independence Measure (FIM). This is an understandable position because not only is the FIM an internationally recognized, valid, and reliable tool, but, as a singular measure, it also means measurement consistency across rehabilitation sites is more likely. However, rehabilitation is complex, and it is risky to base decisions on a single measure, which might not capture the results of rehabilitation treatment ingredients on individual patient targets.8,9
The patient’s progress is objectively assessed using functional outcome measures such as the FIM. Other measures used typically in our service include the de Morton’s Mobility Index (DEMMI), Timed Up and Go (TUG), and the Ten Meter Walk Test (10MWT), which measure patient mobility, balance during directional changes, and walking ability, respectively. Additional measures include patient progression to a less supportive level of assistance (ie, number of persons required to assist or level of supervision) or the selection of a walking aid (eg, forearm support frame, crutches). This progression—or lack thereof—assists in decision-making regarding the individual’s future once they are discharged from rehabilitation. Such considerations would include the need to modify the home environment, selection of assistive devices, community access (walking indoors, outdoors, and shopping), personal care needs, and age-appropriate care facility recommendations (ie, level of care). The use of outcome measures also indicates the need for further referrals to other care providers upon discharge from the rehabilitation facility.
There is widespread support in the literature for the use of the FIM, DEMMI, TUG, and 10MWT in rehabilitation population groups. For example, DEMMI has been validated in hip fracture patients during rehabilitation,10 as well as among older people hospitalized for medical illness.11-13 It has also been shown to be a predictor of discharge destination for patients living with frailty in geriatric rehabilitation settings,14 and to have moderate predictive validity for functional independence after 4 weeks of rehabilitation.15 Similarly, TUG has been validated for use among hospitalized and community-dwelling individuals,16-18 and for patients after joint arthroplasty19,20 or hip fracture.21 It has also been shown to be an indicator of fall risk,22-24 as well as a predictor of fracture incidence.25 Furthermore, TUG has been identified as an indicator of a patient’s ability to walk in the community without the need for a walking device.26 It has also been shown to be an early identifier of patients in need of rehabilitation.27 Normative values for TUG have been reported, and the association with gait time established.28
Gait speed has been shown to predict adverse outcomes in community-dwelling older people.29 In fact, the 10MWT has been established as a powerful tool to benchmark rehabilitation recovery after a medical event.30 Results of the test relate to overall quality of walking, health status, morbidity, and the rate of mortality.31-33 Meaningful improvement, minimum detectable change (0.19-0.34 m/s), and responsiveness in common physical performance in older adults has been reported.26,34,36
Structural and functional impairment has been used to define rehabilitation classes by the Australasian Rehabilitation Outcome Centre (AROC) in the Australian National Sub-Acute and Non-Acute Patient Classification (AN-SNAP) Version 4.37-43 Variables used for grouping are age, care type, function, and impairment for rehabilitation. FIM was developed in order to assess patients’ outcomes after inpatient multidisciplinary care, and is an internationally accepted measure of functioning.44 It is a holistic outcome measure, which can be used to determine the patient’s level of disability and burden of care, and is widely used in both public and private inpatient rehabilitation settings. Each patient classification is reported separately within the case mix structure.45 Inpatient rehabilitation centers are evaluated and compared by the AROC,46 with an emphasis on length of stay and the FIM change. The most successful centers demonstrate shorter length of stay and greater FIM improvement. Although the FIM is a valuable measure, it does not provide a complete picture of the individual patient’s rehabilitation gain: ie, the specific attributes of patients’ mobility, walking ability, or balance during directional changes.
A large-scale analysis of the association between the holistic disability measure of the FIM and the more mobility- and ambulation-focused physiotherapy outcomes has not been documented.
The well-documented DEMMI accumulates points for the patient’s mobility in a similar fashion to the FIM, but with more mobility detail. These 2 outcome measures allow for the full range of patients, from the very dependent up to and including the independently ambulant patients. The DEMMI may show a positive relationship to the FIM, yet the association is unknown. The association of the TUG to the 10MWT has been established28; however, their relationship to the FIM is unknown.
Current practice in the participating public health inpatient rehabilitation wards is to use the DEMMI, TUG, 10MWT, and FIM to ensure physiotherapy and allow the wider multidisciplinary team to more effectively evaluate patient mobility outcomes. The 3 most frequent patient groups identified within the current patient population are expected to present clinical differences and will be analyzed for comparison. If an association is found between the outcome measures in question, clinical efficiency could be improved.
The aim of the current study is to assess the association between change scores in the FIM with evaluative measures of outcomes typically used in physiotherapy to objectively show that use of the FIM in isolation is limited in our population of patients.
Methods
Study design and setting
This retrospective descriptive observational study complied with the STROBE-RECORD guidance and checklist (available at mdedge.com/jcomjournal) and analyzed the routinely collected data from rehabilitation patients who were admitted to 5 different rehabilitation wards in 4 different public hospitals from 1 regional local health district (20-24 beds per ward) from 2015 to 2019. As this study conducted secondary analyses using existing de-identified data from a public health facility and did not involve interaction with any human subjects, ethical approval was not required.46 Approval to conduct this study was granted by the health district’s institutional review committee, as per the National Statement on Ethical Conduct in Human Research 2015.
Participants
Patient data over a 5-year time frame were reviewed (N = 2378). The patient data from the 3 most prevalent impairment groups were identified for inclusion in this study: reconditioning, orthopedic fracture, and orthopedic replacement. (See Table 1 for the specific AN-SNAP impairment groups used in this study.)
Patient data from the less-frequent impairment groups were excluded (n = 673, 28.19%), including stroke (n = 343), brain dysfunction (n = 45), amputation of limb (n = 45), spinal cord dysfunction (n = 36), neurological dysfunction (n = 34), cardiac (n = 24), and others (n = 25) who may have benefitted from other outcome measures due to their medical condition. Ten patient data sets were excluded for missing discharge outcome measure data, from when the patient became ill and returned to acute services or was discharged at short notice. To be included in the study, both the admission and discharge scores from the FIM and the admission and discharge scores from at least 1 of the physiotherapy outcome measures were required for each patient (n = 1704, 71.39%): Reconditioning (n = 742), Orthopedic Fracture (n = 585), and Orthopedic Replacement (n = 377). Information regarding the type of walking aid and the amount of assistance required for safe ambulation was also recorded. These items were included in the study’s descriptive analysis. Only 1.7% of these descriptors were missing.
Outcome measures
DEMMI tasks of bed mobility, sitting balance, transfers, walking, and balance were scored with an assigned value according to the patient’s performance. This was then tallied and the results scaled, to provide an overall score out of 100 available points. The total score from admission and discharge was then compared. Improvement (change) was identified by the increase in scores.
The TUG assesses a patient’s dynamic balance performance.47 The number of seconds it took the patient to complete the procedure was recorded at admission and discharge. Improvement (change) was identified by the reduction in time taken at discharge from the admission score.
The 10MWT measures the unidirectional walking speed of a person over 10 meters and is recorded in seconds and reported in meters per second. Improvement (change) was identified by the reduction in the time taken to increase walking speed.
Concurrent to the physiotherapy measures were the FIM scores, recorded by the accredited nursing staff from each rehabilitation ward. Improvement is demonstrated by the accumulation of points on the ordinal scale of the FIM Total, including mobility, dressing, bladder and bowel care, cognition, and social interaction, and is represented as a score between 18 and 126. The FIM Motor category is reported as a score between 13 and 91.
The 2 data sets were matched by unique identifier and admission dates, then de-identified for analysis.
Statistical analysis
Patient demographic information was analyzed using descriptive statistics (mean, SD, frequencies, percentages) for each impairment group (orthopedic fracture, orthopedic replacement, reconditioning). Differences in continuous demographic variables for each impairment group were assessed using Kruskal-Wallis tests and χ2 tests for categorical variables. Functional outcome scores were compared at admission, discharge, and change between the impairment groups. Association of the functional outcome change scores was determined with the Pearson correlation coefficient (r) between the FIM and the DEMMI, TUG, and 10MWT. Graphs were plotted for each of these (Figure available online at mdedge.com/jcomjournal). A strong, moderate, and weak association was described as > 0.6, > 0.4, and > 0.2, respectively.46 Statistical significance was set at P < .05. Analyses were conducted using Stata (StataCorp LLC, USA).
Results
The patient descriptive data (site from which data were collected, admission length of stay, age at admission, discharge destination, walk aid improvement, and walk assistance improvement) from the 3 impairment groups are reported in Table 2. The functional outcomes for DEMMI, TUG, 10MWT, FIM Motor, FIM Total at admission, discharge, and the change scores are presented in Table 3.
Orthopedic fracture patients had the greatest improvement in their functional outcomes, with a DEMMI improvement of 18 points, TUG score change of 23.49 seconds (s), 10MWT change of 0.30 meters/second (m/s), FIM Motor change of 20.62, and a FIM Total change of 21.9 points. The outcome measures exceeded the minimum detectable change as reported in the literature for DEMMI (8.8 points48), TUG (2.08 s26), walking speed 0.19 m/s26, and FIM Motor (14.6 points49).
Association of functional outcomes (change scores)
There was a significant weak positive correlation between DEMMI change score and both the FIM Motor (r = 0.396) and FIM Total change scores (r = 0.373). When viewing the specific items within the FIM Motor labelled FIM Walk change, FIM MobilityBedChair change, and FIM stairs change, r values were 0.100, 0.379, and 0.126, respectively. In addition, there was a weak negative correlation between TUG change scores and both FIM Motor (r = -0.217) and FIM Total change scores (r = -0.207). There was a very weak positive correlation between 10MWT (m/s) change scores and both FIM Motor (r = 0.194) and FIM Total change scores (r = 0.187) (Table 4, Figure). There was a moderate correlation between 10MWT change (s) and TUG change (s) (r = 0.72, P < .001).
Discussion
The purpose of this study was to ascertain the association between the DEMMI, TUG, 10MWT, and FIM measures using retrospective data collected from 5 public hospital inpatient rehabilitation wards. The results of this retrospective analysis demonstrate that a variety of objective outcome measures are required for the multidisciplinary team to accurately measure a patient’s functional improvement during their inpatient rehabilitation stay. No single outcome measure in this study fully reported all mobility attributes, and we note the risk of basing decisions on a single measure evaluating rehabilitation outcomes. Although the internationally used FIM has a strong place in rehabilitation reporting and benchmarking, it does not predict change nor provide a proxy for the patient’s whole-body motor control as they extend their mobility, dynamic balance, and ambulatory ability. Multiple objective outcome measures should therefore be required to evaluate the patient’s progress and functional performance toward discharge planning.
The FIM is a measure of disability or care needs, incorporating cognitive, social, and physical components of disability. It is a valid, holistic measure of an individual’s functional ability at a given time. Rehabilitation sites internationally utilize this assessment tool to evaluate a patient’s progress and the efficacy of intervention. The strength of this measure is its widespread use and the inclusion of the personal activities of daily living to provide an overall evaluation encompassing all aspects of a person’s ability to function independently. However, as our study results suggest, patient improvement measured by the FIM Motor components were not correlated to other widely used physiotherapy measures of ambulation and balance, such as the 10MWT or TUG. This is perhaps largely because the FIM Motor components only consider the level of assistance (eg, physical assistance, assistive device, independence) and do not consider assessment of balance and gait ability as assessed in the 10MWT and TUG. The 10MWT and TUG provide assessment of velocity and dynamic balance during walking, which have been shown to predict an individual’s risk of falling.22,23 This is a pertinent issue in the rehabilitation and geriatric population.29 Furthermore, the use of the FIM as a benchmarking tool to compare facility efficiency may not provide a complete assessment of all outcomes achieved on the inpatient rehabilitation ward, such as reduced falls risk or improved ambulatory ability and balance.
Of the objective measures evaluated in our paper, the DEMMI assessment has the most similar components to those of the FIM Motor. It includes evaluating independence with bed mobility, standing up, and ambulation. In addition, the DEMMI includes assessment of both static and dynamic balance. As a result of these commonalities, there was only a weak positive correlation between the change in DEMMI and the change in FIM Motor and FIM Total. However, this correlation is not statistically significant. Therefore, the FIM is not recommended as a replacement of the DEMMI, nor can one be used to predict the other.
It has previously been confirmed that there is a significant positive correlation between the 10MWT and the TUG.27 This retrospective analysis has also supported these findings. This is possibly due to the similarity in the assessments, as they both incorporate ambulation ability and dynamic movement.
Each of the 4 outcome measures assess different yet vital aspects of an individual’s functional mobility and ambulation ability during their subacute rehabilitation journey. The diversity of patient age, functional impairment, and mobility level needs a range of outcomes to provide baselines, targets, and goal attainment for discharge home.
Consistent with the AROC AN-SNAP reporting of Length of Stay and FIM change separated into the weighted impairment groups, the data analysis of this study demonstrated significant differences between the Reconditioning, Orthopedic Fracture, and Orthopedic Replacement patient data. Tables 2 and 3 describe the differences between the groups. The fracture population in this study improved the most across each outcome measure. In contrast, the reconditioning population showed the least improvement. This may be expected due to the pathophysiological differences between the groups. Furthermore, for the elderly who sustain fractures because of a fall, rehabilitation will be required to address not only the presenting injury but also the premorbid falls risk factors which may include polypharmacy or impaired balance.
Any conclusions drawn from the findings of this study need to take into consideration that it has focused on patients from 1 local health district and therefore may not be generalizable to a wider national or international context. As this study was a retrospective study, controlling for data collection quality, measurement bias due to nonblinding and missing data is a limitation. However, clinicians regularly completed these outcome assessments and recorded this information as part of their standard care practices within this health district. There may have been slight differences in definitions of practice between the 5 rehabilitation sites. To ensure reliability, each individual site’s protocols for the FIM, DEMMI, TUG, and 10MWT were reviewed and confirmed to be consistent.
It is important, too, to consider the ceiling effect for the FIM scores. For patients requiring a walking aid well after discharge, the highest level of independence from the walking aid will not be achieved. It is acknowledged that the floor effect of the 10MWT and TUG may also influence the outcomes of this study. In addition, data were not collected on preadmission functional measures to enable further evaluation of the population groups. The proportion of variance in change from admission to discharge for TUG and 10MWT to FIM was less than 5%, so the correlation interpretation from this type of scaling is limited. Further research into outcome measures for inpatient rehabilitation in respect to variables such as patient age, length of stay, discharge destination, and efficacy of intervention is warranted.
Conclusion
The FIM Motor change scores showed a weak positive association to the DEMMI change, and no association to the TUG and 10MWT change, demonstrating that the outcome measures do not measure the same attributes. Thorough reporting of clinical outcomes is much more meaningful to assess and guide the physiotherapy component of rehabilitation. To review rehabilitation effectiveness from a management perspective, it is recommended that all measures are reviewed to assess the burden of care, mobility, functional capacity, and dynamic balance.
Acknowledgements: The authors thank Anne Smith, MSHLM, BAppSc, Head of the Physiotherapy Department, and the physiotherapists and allied health assistants who have contributed to the collection of this valuable data over several years. They also thank Lina Baytieh, MS, BS, from Research Central, Illawarra Shoalhaven Local Health District, for her assistance with the analysis.
Corresponding author: Maren Jones, MPH, BS, Physiotherapy Department, Port Kembla Hospital, Illawarra Shoalhaven Local Health District, Warrawong, New South Wales, 2505 Australia; maren.jones@health.nsw.gov.au.
Financial disclosures: None.
From Illawarra Shoalhaven Local Health District, New South Wales, Australia (Maren Jones, Dr. Hewitt, Philippa King, Rhiannon Thorn, Edward Davidson, and Tiana-Lee Elphick), and Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, New South Wales, Australia (Dr. Hewitt)
Objective: To assess the association between change scores in the Functional Independence Measure (FIM) with evaluative measures used in physiotherapy to objectively show that use of the FIM in isolation is limited.
Design: Retrospective observational study.
Setting: Five rehabilitation inpatient wards from 1 public local health district in NSW Australia.
Participants: Patient data over a 5-year time frame (2015 to 2019) were reviewed (N = 2378). The patient data from the 3 most prevalent impairment groups (Australasian Rehabilitation Outcome Centre classification) were identified for inclusion in this study: Reconditioning (n = 742, mean age 76.88 years); Orthopedic Fracture (n = 585, mean age 77.46 years); and Orthopedic Replacement (n = 377, mean age 73.84 years).
Measurements: The difference between the admission and discharge scores were calculated for each measure. Kruskal-Wallis and χ2 tests were used to analyze the data.
Results: Pearson correlation (r) coefficients between FIM Motor change to the de Morton’s Mobility Index (DEMMI) change was r = 0.396, FIM Motor change to the Timed Up and Go (TUG) change was r = -0.217, and the FIM Motor change to the Ten Meter Walk Test (10MWT) change was .194.
Conclusion: The FIM Motor change scores showed a weak positive association to the DEMMI change and no association to the TUG and 10MWT change, demonstrating that the outcome measures do not measure the same attributes. To review rehabilitation effectiveness from a management perspective, it is recommended that all measures are reviewed to assess the burden of care, functional mobility, and dynamic balance.
Keywords: physiotherapy; rehabilitation; clinical outcome measures.
Patients receive interdisciplinary inpatient rehabilitation treatment after they have sustained a lower limb fracture, a lower limb joint replacement, or have generalized deconditioning (muscle wasting and disuse atrophy) following hospitalization for surgery or illness. The degree of a patient’s impairment or loss of functional capacity, as well as their ability to manage at home safely, is assessed using standardized outcome measures during their recovery and rehabilitation.1,2
Physiotherapists routinely use validated outcome measures to assess patient progress and to measure goal attainment through assessment of functional independence, dynamic balance performance, and ambulatory ability. These objective assessments provide clinicians with information about the effectiveness of the rehabilitation program, as well as the patient’s ability to manage in their home environment, to determine the need for assistive devices, level of caregiver support, future level of autonomy, and strategies for falls prevention.3-7
There is a view among service providers that rehabilitation decisions can be based on a singular measure of function known as the Functional Independence Measure (FIM). This is an understandable position because not only is the FIM an internationally recognized, valid, and reliable tool, but, as a singular measure, it also means measurement consistency across rehabilitation sites is more likely. However, rehabilitation is complex, and it is risky to base decisions on a single measure, which might not capture the results of rehabilitation treatment ingredients on individual patient targets.8,9
The patient’s progress is objectively assessed using functional outcome measures such as the FIM. Other measures used typically in our service include the de Morton’s Mobility Index (DEMMI), Timed Up and Go (TUG), and the Ten Meter Walk Test (10MWT), which measure patient mobility, balance during directional changes, and walking ability, respectively. Additional measures include patient progression to a less supportive level of assistance (ie, number of persons required to assist or level of supervision) or the selection of a walking aid (eg, forearm support frame, crutches). This progression—or lack thereof—assists in decision-making regarding the individual’s future once they are discharged from rehabilitation. Such considerations would include the need to modify the home environment, selection of assistive devices, community access (walking indoors, outdoors, and shopping), personal care needs, and age-appropriate care facility recommendations (ie, level of care). The use of outcome measures also indicates the need for further referrals to other care providers upon discharge from the rehabilitation facility.
There is widespread support in the literature for the use of the FIM, DEMMI, TUG, and 10MWT in rehabilitation population groups. For example, DEMMI has been validated in hip fracture patients during rehabilitation,10 as well as among older people hospitalized for medical illness.11-13 It has also been shown to be a predictor of discharge destination for patients living with frailty in geriatric rehabilitation settings,14 and to have moderate predictive validity for functional independence after 4 weeks of rehabilitation.15 Similarly, TUG has been validated for use among hospitalized and community-dwelling individuals,16-18 and for patients after joint arthroplasty19,20 or hip fracture.21 It has also been shown to be an indicator of fall risk,22-24 as well as a predictor of fracture incidence.25 Furthermore, TUG has been identified as an indicator of a patient’s ability to walk in the community without the need for a walking device.26 It has also been shown to be an early identifier of patients in need of rehabilitation.27 Normative values for TUG have been reported, and the association with gait time established.28
Gait speed has been shown to predict adverse outcomes in community-dwelling older people.29 In fact, the 10MWT has been established as a powerful tool to benchmark rehabilitation recovery after a medical event.30 Results of the test relate to overall quality of walking, health status, morbidity, and the rate of mortality.31-33 Meaningful improvement, minimum detectable change (0.19-0.34 m/s), and responsiveness in common physical performance in older adults has been reported.26,34,36
Structural and functional impairment has been used to define rehabilitation classes by the Australasian Rehabilitation Outcome Centre (AROC) in the Australian National Sub-Acute and Non-Acute Patient Classification (AN-SNAP) Version 4.37-43 Variables used for grouping are age, care type, function, and impairment for rehabilitation. FIM was developed in order to assess patients’ outcomes after inpatient multidisciplinary care, and is an internationally accepted measure of functioning.44 It is a holistic outcome measure, which can be used to determine the patient’s level of disability and burden of care, and is widely used in both public and private inpatient rehabilitation settings. Each patient classification is reported separately within the case mix structure.45 Inpatient rehabilitation centers are evaluated and compared by the AROC,46 with an emphasis on length of stay and the FIM change. The most successful centers demonstrate shorter length of stay and greater FIM improvement. Although the FIM is a valuable measure, it does not provide a complete picture of the individual patient’s rehabilitation gain: ie, the specific attributes of patients’ mobility, walking ability, or balance during directional changes.
A large-scale analysis of the association between the holistic disability measure of the FIM and the more mobility- and ambulation-focused physiotherapy outcomes has not been documented.
The well-documented DEMMI accumulates points for the patient’s mobility in a similar fashion to the FIM, but with more mobility detail. These 2 outcome measures allow for the full range of patients, from the very dependent up to and including the independently ambulant patients. The DEMMI may show a positive relationship to the FIM, yet the association is unknown. The association of the TUG to the 10MWT has been established28; however, their relationship to the FIM is unknown.
Current practice in the participating public health inpatient rehabilitation wards is to use the DEMMI, TUG, 10MWT, and FIM to ensure physiotherapy and allow the wider multidisciplinary team to more effectively evaluate patient mobility outcomes. The 3 most frequent patient groups identified within the current patient population are expected to present clinical differences and will be analyzed for comparison. If an association is found between the outcome measures in question, clinical efficiency could be improved.
The aim of the current study is to assess the association between change scores in the FIM with evaluative measures of outcomes typically used in physiotherapy to objectively show that use of the FIM in isolation is limited in our population of patients.
Methods
Study design and setting
This retrospective descriptive observational study complied with the STROBE-RECORD guidance and checklist (available at mdedge.com/jcomjournal) and analyzed the routinely collected data from rehabilitation patients who were admitted to 5 different rehabilitation wards in 4 different public hospitals from 1 regional local health district (20-24 beds per ward) from 2015 to 2019. As this study conducted secondary analyses using existing de-identified data from a public health facility and did not involve interaction with any human subjects, ethical approval was not required.46 Approval to conduct this study was granted by the health district’s institutional review committee, as per the National Statement on Ethical Conduct in Human Research 2015.
Participants
Patient data over a 5-year time frame were reviewed (N = 2378). The patient data from the 3 most prevalent impairment groups were identified for inclusion in this study: reconditioning, orthopedic fracture, and orthopedic replacement. (See Table 1 for the specific AN-SNAP impairment groups used in this study.)
Patient data from the less-frequent impairment groups were excluded (n = 673, 28.19%), including stroke (n = 343), brain dysfunction (n = 45), amputation of limb (n = 45), spinal cord dysfunction (n = 36), neurological dysfunction (n = 34), cardiac (n = 24), and others (n = 25) who may have benefitted from other outcome measures due to their medical condition. Ten patient data sets were excluded for missing discharge outcome measure data, from when the patient became ill and returned to acute services or was discharged at short notice. To be included in the study, both the admission and discharge scores from the FIM and the admission and discharge scores from at least 1 of the physiotherapy outcome measures were required for each patient (n = 1704, 71.39%): Reconditioning (n = 742), Orthopedic Fracture (n = 585), and Orthopedic Replacement (n = 377). Information regarding the type of walking aid and the amount of assistance required for safe ambulation was also recorded. These items were included in the study’s descriptive analysis. Only 1.7% of these descriptors were missing.
Outcome measures
DEMMI tasks of bed mobility, sitting balance, transfers, walking, and balance were scored with an assigned value according to the patient’s performance. This was then tallied and the results scaled, to provide an overall score out of 100 available points. The total score from admission and discharge was then compared. Improvement (change) was identified by the increase in scores.
The TUG assesses a patient’s dynamic balance performance.47 The number of seconds it took the patient to complete the procedure was recorded at admission and discharge. Improvement (change) was identified by the reduction in time taken at discharge from the admission score.
The 10MWT measures the unidirectional walking speed of a person over 10 meters and is recorded in seconds and reported in meters per second. Improvement (change) was identified by the reduction in the time taken to increase walking speed.
Concurrent to the physiotherapy measures were the FIM scores, recorded by the accredited nursing staff from each rehabilitation ward. Improvement is demonstrated by the accumulation of points on the ordinal scale of the FIM Total, including mobility, dressing, bladder and bowel care, cognition, and social interaction, and is represented as a score between 18 and 126. The FIM Motor category is reported as a score between 13 and 91.
The 2 data sets were matched by unique identifier and admission dates, then de-identified for analysis.
Statistical analysis
Patient demographic information was analyzed using descriptive statistics (mean, SD, frequencies, percentages) for each impairment group (orthopedic fracture, orthopedic replacement, reconditioning). Differences in continuous demographic variables for each impairment group were assessed using Kruskal-Wallis tests and χ2 tests for categorical variables. Functional outcome scores were compared at admission, discharge, and change between the impairment groups. Association of the functional outcome change scores was determined with the Pearson correlation coefficient (r) between the FIM and the DEMMI, TUG, and 10MWT. Graphs were plotted for each of these (Figure available online at mdedge.com/jcomjournal). A strong, moderate, and weak association was described as > 0.6, > 0.4, and > 0.2, respectively.46 Statistical significance was set at P < .05. Analyses were conducted using Stata (StataCorp LLC, USA).
Results
The patient descriptive data (site from which data were collected, admission length of stay, age at admission, discharge destination, walk aid improvement, and walk assistance improvement) from the 3 impairment groups are reported in Table 2. The functional outcomes for DEMMI, TUG, 10MWT, FIM Motor, FIM Total at admission, discharge, and the change scores are presented in Table 3.
Orthopedic fracture patients had the greatest improvement in their functional outcomes, with a DEMMI improvement of 18 points, TUG score change of 23.49 seconds (s), 10MWT change of 0.30 meters/second (m/s), FIM Motor change of 20.62, and a FIM Total change of 21.9 points. The outcome measures exceeded the minimum detectable change as reported in the literature for DEMMI (8.8 points48), TUG (2.08 s26), walking speed 0.19 m/s26, and FIM Motor (14.6 points49).
Association of functional outcomes (change scores)
There was a significant weak positive correlation between DEMMI change score and both the FIM Motor (r = 0.396) and FIM Total change scores (r = 0.373). When viewing the specific items within the FIM Motor labelled FIM Walk change, FIM MobilityBedChair change, and FIM stairs change, r values were 0.100, 0.379, and 0.126, respectively. In addition, there was a weak negative correlation between TUG change scores and both FIM Motor (r = -0.217) and FIM Total change scores (r = -0.207). There was a very weak positive correlation between 10MWT (m/s) change scores and both FIM Motor (r = 0.194) and FIM Total change scores (r = 0.187) (Table 4, Figure). There was a moderate correlation between 10MWT change (s) and TUG change (s) (r = 0.72, P < .001).
Discussion
The purpose of this study was to ascertain the association between the DEMMI, TUG, 10MWT, and FIM measures using retrospective data collected from 5 public hospital inpatient rehabilitation wards. The results of this retrospective analysis demonstrate that a variety of objective outcome measures are required for the multidisciplinary team to accurately measure a patient’s functional improvement during their inpatient rehabilitation stay. No single outcome measure in this study fully reported all mobility attributes, and we note the risk of basing decisions on a single measure evaluating rehabilitation outcomes. Although the internationally used FIM has a strong place in rehabilitation reporting and benchmarking, it does not predict change nor provide a proxy for the patient’s whole-body motor control as they extend their mobility, dynamic balance, and ambulatory ability. Multiple objective outcome measures should therefore be required to evaluate the patient’s progress and functional performance toward discharge planning.
The FIM is a measure of disability or care needs, incorporating cognitive, social, and physical components of disability. It is a valid, holistic measure of an individual’s functional ability at a given time. Rehabilitation sites internationally utilize this assessment tool to evaluate a patient’s progress and the efficacy of intervention. The strength of this measure is its widespread use and the inclusion of the personal activities of daily living to provide an overall evaluation encompassing all aspects of a person’s ability to function independently. However, as our study results suggest, patient improvement measured by the FIM Motor components were not correlated to other widely used physiotherapy measures of ambulation and balance, such as the 10MWT or TUG. This is perhaps largely because the FIM Motor components only consider the level of assistance (eg, physical assistance, assistive device, independence) and do not consider assessment of balance and gait ability as assessed in the 10MWT and TUG. The 10MWT and TUG provide assessment of velocity and dynamic balance during walking, which have been shown to predict an individual’s risk of falling.22,23 This is a pertinent issue in the rehabilitation and geriatric population.29 Furthermore, the use of the FIM as a benchmarking tool to compare facility efficiency may not provide a complete assessment of all outcomes achieved on the inpatient rehabilitation ward, such as reduced falls risk or improved ambulatory ability and balance.
Of the objective measures evaluated in our paper, the DEMMI assessment has the most similar components to those of the FIM Motor. It includes evaluating independence with bed mobility, standing up, and ambulation. In addition, the DEMMI includes assessment of both static and dynamic balance. As a result of these commonalities, there was only a weak positive correlation between the change in DEMMI and the change in FIM Motor and FIM Total. However, this correlation is not statistically significant. Therefore, the FIM is not recommended as a replacement of the DEMMI, nor can one be used to predict the other.
It has previously been confirmed that there is a significant positive correlation between the 10MWT and the TUG.27 This retrospective analysis has also supported these findings. This is possibly due to the similarity in the assessments, as they both incorporate ambulation ability and dynamic movement.
Each of the 4 outcome measures assess different yet vital aspects of an individual’s functional mobility and ambulation ability during their subacute rehabilitation journey. The diversity of patient age, functional impairment, and mobility level needs a range of outcomes to provide baselines, targets, and goal attainment for discharge home.
Consistent with the AROC AN-SNAP reporting of Length of Stay and FIM change separated into the weighted impairment groups, the data analysis of this study demonstrated significant differences between the Reconditioning, Orthopedic Fracture, and Orthopedic Replacement patient data. Tables 2 and 3 describe the differences between the groups. The fracture population in this study improved the most across each outcome measure. In contrast, the reconditioning population showed the least improvement. This may be expected due to the pathophysiological differences between the groups. Furthermore, for the elderly who sustain fractures because of a fall, rehabilitation will be required to address not only the presenting injury but also the premorbid falls risk factors which may include polypharmacy or impaired balance.
Any conclusions drawn from the findings of this study need to take into consideration that it has focused on patients from 1 local health district and therefore may not be generalizable to a wider national or international context. As this study was a retrospective study, controlling for data collection quality, measurement bias due to nonblinding and missing data is a limitation. However, clinicians regularly completed these outcome assessments and recorded this information as part of their standard care practices within this health district. There may have been slight differences in definitions of practice between the 5 rehabilitation sites. To ensure reliability, each individual site’s protocols for the FIM, DEMMI, TUG, and 10MWT were reviewed and confirmed to be consistent.
It is important, too, to consider the ceiling effect for the FIM scores. For patients requiring a walking aid well after discharge, the highest level of independence from the walking aid will not be achieved. It is acknowledged that the floor effect of the 10MWT and TUG may also influence the outcomes of this study. In addition, data were not collected on preadmission functional measures to enable further evaluation of the population groups. The proportion of variance in change from admission to discharge for TUG and 10MWT to FIM was less than 5%, so the correlation interpretation from this type of scaling is limited. Further research into outcome measures for inpatient rehabilitation in respect to variables such as patient age, length of stay, discharge destination, and efficacy of intervention is warranted.
Conclusion
The FIM Motor change scores showed a weak positive association to the DEMMI change, and no association to the TUG and 10MWT change, demonstrating that the outcome measures do not measure the same attributes. Thorough reporting of clinical outcomes is much more meaningful to assess and guide the physiotherapy component of rehabilitation. To review rehabilitation effectiveness from a management perspective, it is recommended that all measures are reviewed to assess the burden of care, mobility, functional capacity, and dynamic balance.
Acknowledgements: The authors thank Anne Smith, MSHLM, BAppSc, Head of the Physiotherapy Department, and the physiotherapists and allied health assistants who have contributed to the collection of this valuable data over several years. They also thank Lina Baytieh, MS, BS, from Research Central, Illawarra Shoalhaven Local Health District, for her assistance with the analysis.
Corresponding author: Maren Jones, MPH, BS, Physiotherapy Department, Port Kembla Hospital, Illawarra Shoalhaven Local Health District, Warrawong, New South Wales, 2505 Australia; maren.jones@health.nsw.gov.au.
Financial disclosures: None.
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1. Centers for Disease Control and Prevention. Disability and health overview. Impairments, activity limitations and participation restrictions. September 16, 2020. https://www.cdc.gov/ncbddd/disabilityandhealth/disability.html
2. The Royal Australasian College of Physicians. Australasian Faculty of Rehabilitation Medicine. Standards for the Provision of Inpatient Adult Rehabilitation Medicine Services in Public and Private Hospitals. February 2019:7-9. https://www.racp.edu.au/docs/default-source/advocacy-library/afrm-standards-for-the-provision-of-inpatient-adult-rehabilitation-medicine-services-in-public-and-private-hospitals.pdf?sfvrsn=4690171a_4
3. NSW Agency for Clinical Innovation. NSW rehabilitation model of care. June 1, 2015. https://aci.health.nsw.gov.au/resources/rehabilitation/rehabilitation-model-of-care/rehabilitation-moc
4. The State of Queensland (Queensland Health). Clinical task instructions. June 22, 2021. https://www.health.qld.gov.au/ahwac/html/clintaskinstructions
5. Panel on Prevention of Falls in Older Persons, American Geriatrics Society and British Geriatrics Society. Summary of the updated American Geriatrics Society/British Geriatrics Society clinical practice guideline for prevention of falls in older persons. J Am Geriatr Soc. 2011;59(1):148-157. doi:10.1111/j.1532-5415.2010.03234.x
6. Suwannarat P, Kaewsanmung S, Thaweewannakij T, Amatachaya S. The use of functional performance tests by primary health-care providers to determine walking ability with and without a walking device in community-dwelling elderly. Physiother Theory Pract. 2021;37(1):64-72. doi:10.1080/09593985.2019.1606372
7. Lee K-J, Um S-H, Kim Y-H. Postoperative rehabilitation after hip fracture: a literature review. Hip Pelvis. 2020;32(3):125-131. doi:10.5371/hp.2020.32.3.125
8. Wade DT, Smeets RJEM, Verbunt JA. Research in rehabilitation medicine: methodological challenges. J Clin Epidemiol. 2010;63(7):699-704. doi:10.1016/j.clinepi.2009.07.010
9. Wade DT. Outcome measures for clinical rehabilitation trials: impairment, function, quality of life, or value? Am J Phys Med Rehabil. 2003;82(suppl 10):S26-S31. doi:10.1097/01.PHM.0000086996.89383.A1
10. de Morton NA, Harding KE, Taylor NF, Harrison G. Validity of the de Morton NA Mobility Index (DEMMI) for measuring the mobility of patients with hip fracture during rehabilitation. Disabil Rehabil. 2013;35(4):325-333. doi:10.3109/09638288.2012.705220
11. Trøstrup J, Andersen H, Kam CAM, et al. Assessment of mobility in older people hospitalized for medical illness using the de Morton Mobility Index and cumulated ambulation score—validity and minimal clinical important difference. J Geriatr Phys Ther. 2019;42(3):153-160. doi:10.1519/JPT.0000000000000170
12. Gazzoti A, Meyer U, Freystaetter G, et al. Physical performance among patients aged 70+ in acute care: a preliminary comparison between the Short Physical Performance Battery and the De Morton Mobility Index with regard to sensitivity to change and prediction of discharge destination. Aging Clin Exp Res. 2020;32(4):579-586. doi:10.1007/s40520-019-1249-9
13. Tavares LS, Moreno NA, de Aquino BG, et al. Reliability, validity, interpretability and responsiveness of the DEMMI mobility index for Brazilian older hospitalized patients. PLoS One. 2020;15(3):e0230047. doi:10.1371/journal.pone.0230047
14. Braun T, Schulz R-J, Reinke J. Reliability and validity of the German translation of the de Morton Mobility Index performed by physiotherapists in patients admitted to a sub-acute inpatient geriatric rehabilitation hospital. BMC Geriatr. 2015;15:38. doi:10.1186/s12877-015-0035-y
15. Søndergaard K, Petersen LE, Pedersen MK, et al. The responsiveness and predictive validity of the de Morton Mobility Index in geriatric rehabilitation. Disabil Rehabil. 2020 Jun 12. [Epub ahead of print] doi:10.1080/09638288.2020.1771438
16. de Morton NA, Brusco NK, Wood L, et al. The de Morton Mobility Index (DEMMI) provides a valid method for measuring and monitoring the mobility of patients making the transition from hospital to the community: an observational study. J Physiother. 2011;57(2):109-116. doi:10.1016/S1836-9553(11)70021-2
17. Caronni A, Sterpi I, Antoniotti P, et al. Criterion validity of the instrumented Timed Up and Go test: a partial least square regression study. Gait Posture. 2018;61(3):287-293. doi:10.1016/j.gaitpost.2018.01.015
18. Kristensen MT, Bloch ML, Jonsson LR, Jakobsen TL. Interrater reliability of the standardized Timed Up and Go Test when used in hospitalized and community-dwelling individuals. Physiother Res Int. 2019;24(2):e1769. doi:10.1002/pri.1769
19. Yuksel E, Kalkan S, Cekmece S, et al. Assessing minimal detectable changes and test-retest reliability of the timed up and go test and 2-minute walk test in patients with total knee arthroplasty. J Arthroplasty. 2017;32(2):426-430. doi:10.1016/j.arth.2016.07.031
20. Yuksel E, Unver B, Kalkan S, Karatosun V. Reliability and minimal detectable change of the 2-minute walk test and Timed Up and Go test in patients with total hip arthroplasty. Hip Int. 2021;31(1):43-49. doi:10.1177/1120700019888614
21. Faleide AGH, Bogen BE, Magnussen LH. Intra-session test-retest reliability of the Timed “Up & Go” Test when performed by patients with hip fractures. Eur J Physiother. 2015;17(2):89-97. doi:10.3109/21679169.2015.1043579
22. Barry E, Galvin R, Keogh C, et al. Is the timed up and go test a useful predictor of risk of falls in community dwelling older adults: a systematic review and meta- analysis. BMC Geriatr. 2014;14:14. doi:10.1186/1471-2318-14-14
23. Kojima G, Masud T, Kendrick D, et al. Does the timed up and go test predict future falls among British community-dwelling older people? Prospective cohort study nested within a randomised controlled trial. BMC Geriatr. 2015;15:38. doi:10.1186/s12877-015-0039-7
24. Shumway-Cook A, Brauer S, Woollacott M. Predicting the probability for falls in community-dwelling older adults using the timed up & go test. Phys Ther. 2000;80(9):896-903.
25. Jeong SM, Shin DW, Han K, et al. Timed Up-and-Go test is a useful predictor of fracture incidence. Bone. 2019;127:474-481. doi:10.1016/j.bone.2019.07.018
26. Donaghue OA, Savva GM, Börsch-Supan A, Kenny RA. Reliability, measurement error and minimum detectable change in reliability measurement error and minimum detectable change in mobility measures: a cohort study of community dwelling adults aged 50 years and over in Ireland. BMJ Open. 2019;9(11):e030475. doi:10/1136.bmjopen-2019-030475
27. Freter SH, Fruchter N. Relationship between timed ‘up and go’ and gait time in an elderly orthopaedic rehabilitation population. Clin Rehabil. 2000;14(1):96-101. doi:10.1191/026921500675545616
28. Kear BM, Guck TP, McGaha AL. Timed up and go (TUG) test: normative reference values for ages 20 to 59 years and relationships with physical and mental health risk factors. J Prim Care Community Health. 2017;8(1):9-13. doi:10.1177/2150131916659282
29. Abellan van Kan G, Rolland Y, Andrieu S, et al. Gait speed at usual pace as a predictor of adverse outcomes in community-dwelling older people: an International Academy on Nutrition and Aging (IANA) Task Force. J Nutr Health Aging. 2009;13(10)881-889. doi:10.1007/s12603-009-0246-z
30. Unver B, Baris RH, Yusel E, et al. Reliability of 4-meter and 10-meter walk tests after lower extremity surgery. Disabil Rehabil. 2017;39(25):2572-2576. doi:10.1080/09638288.2016.1236153
31. Fritz S, Lusardi M. White paper: “walking speed: the sixth vital sign.” J Geriatr Phys Ther. 2009;32(2):46-49.
32. Studenski S, Perera S, Patel K, et al. Gait speed and survival in older adults. JAMA. 2011;305(1):50-58. doi:10.1001/jama.2010.1923
33. Bohannon R. Comfortable and maximum walking speed of adults aged 20-79 years: reference values and determinants. Age Ageing. 1997;26(1):15-19. doi:10.1093/ageing/26.1.15
34. Perera S, Mody SH, Woodman RC, Studenski SA. Meaningful change and responsiveness in common physical performance in older adults. J Am Geriatr Soc. 2006;54(5):743-749. doi:10.1111/j.1532-5415.2006.00701.x
35. Hollman J, Beckman B, Brandt R, et al. Minimum detectable change in gait velocity during acute rehabilitation following hip fracture. J Geriatr Phys Ther. 2008;31(2):53-56. doi:10.1519/00139143-200831020-00003
36. Bohannon RW, Andrews AW. Normal walking speed: a descriptive meta-analysis. Physiotherapy. 2011;97(3):182-189. doi:10.1016/j.physio.2010.12.004
37. Granger CV, Hamilton BB, Keith RA, et al. Advances in functional assessment for medical rehabilitation. Top Geriatr Rehabil. 1986;1:59-74.
38. Keith RA, Granger CV, Hamilton BB, Sherwin FS. The Functional Independence Measure: a new tool for rehabilitation. In: Eisenberg MG, Grzesiak RC, eds. Advances in Clinical Rehabilitation. Springer-Verlag; 1987:6-18.
39. Linacre JM, Heinemann AW, Wright BD, et al. The structure and stability of the Functional Independence Measure. Arch Phys Med Rehabil. 1994;75(2):127-132.
40. Coster WJ, Haley SM, Jette AM. Measuring patient-reported outcomes after discharge from inpatient rehabilitation settings. J Rehabil Med. 2006;38(4):237-242. doi:10.1080/16501970600609774
41. Street L. Frequently asked questions about FIM. Journal of the Australasian Rehabilitation Nurses Association. 2014;17(1):21-22. https://ro.uow.edu.au/ahsri/296/
42. Green JP, Gordon R, Blanchard MB, et al. Development of the Australian National Subacute and Non-acute Patient (AN-SNAP) Classification. Version 4 Final Report. Australian Health Services Research Institute, University of Wollongong, 2015. https://ro.uow.edu.au/ahsri/760
43. Australasian Rehabilitation Outcomes Centre. University of Wollongong, Australia. https://www.uow.edu.au/ahsri/aroc/
44. Green J, Gordon R, Kobel C, et al; Centre for Health Service Development. The Australian National Subacute and Non-acute Patient Classification. AN-SNAP V4 User Manual. May 2015. https://documents.uow.edu.au/content/groups/public/@web/@chsd/@aroc/documents/doc/uow194637.pdf
45. Alexander TL, Simmonds FD, Capelle JT, Green LJ. Anywhere Hospital AROC Impairment Specific Report on Reconditioning (Inpatient–Pathway 3), July 2018–June 2019. Australasian Rehabilitation Outcomes Centre, Australian Health Services Research Institute, University of Wollongong; 2019. ro.uow.edu.au/ahsri/1110
46. Evans JD. Straightforward Statistics for the Behavioural Sciences. Brooks/Cole Publishing; 1996.
47. Lee SP, Dufek J, Hickman R, Schuerman S. Influence of procedural factors on the reliability and performance of the timed up-and-go test in older adults. Int J Gerontol. 2016;10(1):37-42. doi:10.1016/j.ijge.2015
48. New PW, Scroggie GD, Williams CM. The validity, reliability, responsiveness and minimal clinically important difference of the de Morton Mobility Index in rehabilitation. Disabil Rehabil. 2017;39(10):1039-1043. doi:10.10801/09638288.2016.1179800
49. Nakaguchi T, Ishimoto Y, Akazawa N. Functional Independence Measure for patients with locomotor disorders in convalescent rehabilitation wards. Clinically significant minimum difference in exercise score gain. Physiotherapy Science. 2018;33(2):235-240.
HCV screening in pregnancy: Reducing the risk for casualties in the quest for elimination
Because hepatitis C virus (HCV) infection is typically asymptomatic, its presence can easily be overlooked without appropriate screening efforts. For those screening efforts to be effective, they must keep pace with the changing demographic face of this increasingly prevalent but treatable disease.
Perhaps the most dramatic shift in HCV demographics in recent years has been the increase of infections among those born after 1965, a trend primarily driven by the opioid epidemic. In addition, data from the National Notifiable Diseases Surveillance System show that cases of diagnosed HCV doubled among women of childbearing age from 2006 to 2014, with new infections in younger women surpassing those in older age groups.
With such trends in mind, the Centers for Disease Control and Prevention broadened their recommendations regarding HCV in 2020 to include one-time testing in all adults aged 18 years and older and screening of all pregnant women during each pregnancy, except where the prevalence of infection is less than 0.1%, a threshold that no state has yet achieved.
The US Preventive Services Task Force (USPSTF) subsequently followed suit in their own recommendations.
The American Association for the Study of Liver Diseases/Infectious Diseases Society of America have long advocated for extensive expansion in their screening recommendations for HCV, including pregnancy.
Although the American College of Obstetricians and Gynecologists and the Society for Maternal-Fetal Medicine did not immediately adopt these recommendations, they have since endorsed them in May 2021 and June 2021, respectively.
The hepatologist perspective
As a practicing hepatologist, this seems like an uncontroversial recommendation. Obstetricians already screen for hepatitis B virus in each pregnancy. It should be easy to add HCV testing to the same lab testing.
Risk-based screening has repeatedly been demonstrated to be ineffective. It should be easier to test all women than to ask prying questions about high-risk behaviors.
Given the increase of injection drug use and resultant HCV infections in women of childbearing age, this seems like a perfect opportunity to identify chronically infected women and counsel them on transmission and cure. And pregnancy is also unique in that it is a time of near-universal health coverage.
Let’s address some of the operational issues.
The diagnostic cascade for HCV can be made very easy. HCV antibody testing is our standard screening test and, when positive, can automatically reflex to HCV polymerase chain reaction (PCR), the diagnostic test. Thus, with one blood sample, you can both screen for and diagnose infection.
Current guidelines do not recommend treating HCV during pregnancy, although therapy can be considered on an individual basis. Linkage to a knowledgeable provider who can discuss transmission and treatment, as well as assess the stage of liver injury, should decrease the burden on the ob.gyn.
The impact on pregnancy is marginal. HCV should not change either the mode of delivery or the decision to breastfeed. The AASLD/IDSA guidance outlines only four recommendations for monitoring during pregnancy:
- Obtain HCV RNA to see whether the infection is active and assess liver function at initiation of prenatal care.
- Prenatal care should be tailored to the pregnancy. There is no modification recommended to decrease mother-to-child transmission (MTCT).
- Be aware that intrahepatic is more common with HCV.
- Women with have a higher rate of adverse outcomes and should be linked to a high-risk obstetrics specialist.
But of course, what seems easy to one specialist may not be true of another. With that in mind, let’s hear the ob.gyn. perspective on these updated screening recommendations.
The ob.gyn. perspective
Recent guidelines from the CDC, ACOG, and SMFM recommend universal screening for HCV in all pregnant women. The increased availability of highly effective antiviral regimens makes universal screening a logical strategy, especially to identify candidates for this curative treatment. What is questionable, however, is the recommended timing by which this screening should take place.
HCV screening during pregnancy, as currently recommended, provides no immediate benefit for the pregnant woman or the fetus/neonate, given that antiviral treatments have not been approved during gestation, and there are no known measures that decrease MTCT or change routine perinatal care.
We also must not forget that a significant proportion of women in the United States, particularly those with limited resources, do not receive prenatal care at all. Most of them, however, will present to a hospital for delivery. Consequently, compliance with screening might be higher if performed at the time of delivery rather than antepartum.
Deferring screening until the intrapartum or immediate postpartum period, at least until antiviral treatment during pregnancy becomes a reality, was discussed. The rationale was that this approach might obviate the need to deal with the unintended consequences and burden of testing for HCV during pregnancy. Ultimately, ACOG and SMFM fell in line with the CDC recommendations.
Despite the lack of robust evidence regarding the risk for MTCT associated with commonly performed obstetric procedures (for example, genetic amniocentesis, artificial rupture of the membranes during labor, placement of an intrauterine pressure catheter), clinicians may be reluctant to perform them in HCV-infected women, resulting in potential deviations from the obstetric standard of care.
Similarly, it is likely that patients may choose to have a cesarean delivery for the sole purpose of decreasing MTCT, despite the lack of evidence for this. Such ill-advised patient-driven decisions are increasingly likely in the current environment, where social media can rapidly disseminate misinformation.
Implications for pediatric patients
One cannot isolate HCV screening in pregnancy from the consequences that may potentially occur as part of the infant’s transition to the care of a pediatrician.
Even though MTCT is estimated to occur in just 5%-15% of cases, all children born to HCV viremic mothers should be screened for HCV.
Traditionally, screening for HCV antibodies occurred after 18 months of age. In those who test positive, HCV PCR testing is recommended at 3 years. However, this algorithm is being called into question because only approximately one-third of infants are successfully screened.
HCV RNA testing in the first year after birth has been suggested. However, even proponents of this approach concur that all management decisions should be deferred until after the age of 3 years, when medications are approved for pediatric use.
In addition, HCV testing would be required again before considering therapy because children have higher rates of spontaneous clearance.
Seeking consensus beyond the controversy
Controversy remains surrounding the most recent update to the HCV screening guidelines. The current recommendation to screen during pregnancy cannot modify the risk for MTCT, has no impact on decisions regarding mode of delivery or breastfeeding, and could potentially cause harm by making obstetricians defer necessary invasive procedures even though there are no data linking them to an increase in MTCT.
Yet after extensive debate, the CDC, USPSTF, AASLD/IDSA, ACOG, and SMFM all developed their current recommendations to initiate HCV screening during pregnancy. To make this successful, screening algorithms need to be simple and consistent across all society recommendations.
HCV antibody testing should always reflex to the diagnostic test (HCV PCR) to allow confirmation in those who test positive without requiring an additional blood test. Viremic mothers (those who are HCV positive on PCR) should be linked to a provider who can discuss prognosis, transmission, and treatment. The importance of screening the infant also must be communicated to the parents and pediatrician alike.
Dr. Reau has served as a director, officer, partner, employee, adviser, consultant, or trustee for AbbVie, Gilead, Arbutus, Intercept, and Salix; received research grants from AbbVie and Gilead; and received income from AASLD. Dr. Pacheco disclosed no relevant financial relationships.
A version of this article first appeared on Medscape.com.
Because hepatitis C virus (HCV) infection is typically asymptomatic, its presence can easily be overlooked without appropriate screening efforts. For those screening efforts to be effective, they must keep pace with the changing demographic face of this increasingly prevalent but treatable disease.
Perhaps the most dramatic shift in HCV demographics in recent years has been the increase of infections among those born after 1965, a trend primarily driven by the opioid epidemic. In addition, data from the National Notifiable Diseases Surveillance System show that cases of diagnosed HCV doubled among women of childbearing age from 2006 to 2014, with new infections in younger women surpassing those in older age groups.
With such trends in mind, the Centers for Disease Control and Prevention broadened their recommendations regarding HCV in 2020 to include one-time testing in all adults aged 18 years and older and screening of all pregnant women during each pregnancy, except where the prevalence of infection is less than 0.1%, a threshold that no state has yet achieved.
The US Preventive Services Task Force (USPSTF) subsequently followed suit in their own recommendations.
The American Association for the Study of Liver Diseases/Infectious Diseases Society of America have long advocated for extensive expansion in their screening recommendations for HCV, including pregnancy.
Although the American College of Obstetricians and Gynecologists and the Society for Maternal-Fetal Medicine did not immediately adopt these recommendations, they have since endorsed them in May 2021 and June 2021, respectively.
The hepatologist perspective
As a practicing hepatologist, this seems like an uncontroversial recommendation. Obstetricians already screen for hepatitis B virus in each pregnancy. It should be easy to add HCV testing to the same lab testing.
Risk-based screening has repeatedly been demonstrated to be ineffective. It should be easier to test all women than to ask prying questions about high-risk behaviors.
Given the increase of injection drug use and resultant HCV infections in women of childbearing age, this seems like a perfect opportunity to identify chronically infected women and counsel them on transmission and cure. And pregnancy is also unique in that it is a time of near-universal health coverage.
Let’s address some of the operational issues.
The diagnostic cascade for HCV can be made very easy. HCV antibody testing is our standard screening test and, when positive, can automatically reflex to HCV polymerase chain reaction (PCR), the diagnostic test. Thus, with one blood sample, you can both screen for and diagnose infection.
Current guidelines do not recommend treating HCV during pregnancy, although therapy can be considered on an individual basis. Linkage to a knowledgeable provider who can discuss transmission and treatment, as well as assess the stage of liver injury, should decrease the burden on the ob.gyn.
The impact on pregnancy is marginal. HCV should not change either the mode of delivery or the decision to breastfeed. The AASLD/IDSA guidance outlines only four recommendations for monitoring during pregnancy:
- Obtain HCV RNA to see whether the infection is active and assess liver function at initiation of prenatal care.
- Prenatal care should be tailored to the pregnancy. There is no modification recommended to decrease mother-to-child transmission (MTCT).
- Be aware that intrahepatic is more common with HCV.
- Women with have a higher rate of adverse outcomes and should be linked to a high-risk obstetrics specialist.
But of course, what seems easy to one specialist may not be true of another. With that in mind, let’s hear the ob.gyn. perspective on these updated screening recommendations.
The ob.gyn. perspective
Recent guidelines from the CDC, ACOG, and SMFM recommend universal screening for HCV in all pregnant women. The increased availability of highly effective antiviral regimens makes universal screening a logical strategy, especially to identify candidates for this curative treatment. What is questionable, however, is the recommended timing by which this screening should take place.
HCV screening during pregnancy, as currently recommended, provides no immediate benefit for the pregnant woman or the fetus/neonate, given that antiviral treatments have not been approved during gestation, and there are no known measures that decrease MTCT or change routine perinatal care.
We also must not forget that a significant proportion of women in the United States, particularly those with limited resources, do not receive prenatal care at all. Most of them, however, will present to a hospital for delivery. Consequently, compliance with screening might be higher if performed at the time of delivery rather than antepartum.
Deferring screening until the intrapartum or immediate postpartum period, at least until antiviral treatment during pregnancy becomes a reality, was discussed. The rationale was that this approach might obviate the need to deal with the unintended consequences and burden of testing for HCV during pregnancy. Ultimately, ACOG and SMFM fell in line with the CDC recommendations.
Despite the lack of robust evidence regarding the risk for MTCT associated with commonly performed obstetric procedures (for example, genetic amniocentesis, artificial rupture of the membranes during labor, placement of an intrauterine pressure catheter), clinicians may be reluctant to perform them in HCV-infected women, resulting in potential deviations from the obstetric standard of care.
Similarly, it is likely that patients may choose to have a cesarean delivery for the sole purpose of decreasing MTCT, despite the lack of evidence for this. Such ill-advised patient-driven decisions are increasingly likely in the current environment, where social media can rapidly disseminate misinformation.
Implications for pediatric patients
One cannot isolate HCV screening in pregnancy from the consequences that may potentially occur as part of the infant’s transition to the care of a pediatrician.
Even though MTCT is estimated to occur in just 5%-15% of cases, all children born to HCV viremic mothers should be screened for HCV.
Traditionally, screening for HCV antibodies occurred after 18 months of age. In those who test positive, HCV PCR testing is recommended at 3 years. However, this algorithm is being called into question because only approximately one-third of infants are successfully screened.
HCV RNA testing in the first year after birth has been suggested. However, even proponents of this approach concur that all management decisions should be deferred until after the age of 3 years, when medications are approved for pediatric use.
In addition, HCV testing would be required again before considering therapy because children have higher rates of spontaneous clearance.
Seeking consensus beyond the controversy
Controversy remains surrounding the most recent update to the HCV screening guidelines. The current recommendation to screen during pregnancy cannot modify the risk for MTCT, has no impact on decisions regarding mode of delivery or breastfeeding, and could potentially cause harm by making obstetricians defer necessary invasive procedures even though there are no data linking them to an increase in MTCT.
Yet after extensive debate, the CDC, USPSTF, AASLD/IDSA, ACOG, and SMFM all developed their current recommendations to initiate HCV screening during pregnancy. To make this successful, screening algorithms need to be simple and consistent across all society recommendations.
HCV antibody testing should always reflex to the diagnostic test (HCV PCR) to allow confirmation in those who test positive without requiring an additional blood test. Viremic mothers (those who are HCV positive on PCR) should be linked to a provider who can discuss prognosis, transmission, and treatment. The importance of screening the infant also must be communicated to the parents and pediatrician alike.
Dr. Reau has served as a director, officer, partner, employee, adviser, consultant, or trustee for AbbVie, Gilead, Arbutus, Intercept, and Salix; received research grants from AbbVie and Gilead; and received income from AASLD. Dr. Pacheco disclosed no relevant financial relationships.
A version of this article first appeared on Medscape.com.
Because hepatitis C virus (HCV) infection is typically asymptomatic, its presence can easily be overlooked without appropriate screening efforts. For those screening efforts to be effective, they must keep pace with the changing demographic face of this increasingly prevalent but treatable disease.
Perhaps the most dramatic shift in HCV demographics in recent years has been the increase of infections among those born after 1965, a trend primarily driven by the opioid epidemic. In addition, data from the National Notifiable Diseases Surveillance System show that cases of diagnosed HCV doubled among women of childbearing age from 2006 to 2014, with new infections in younger women surpassing those in older age groups.
With such trends in mind, the Centers for Disease Control and Prevention broadened their recommendations regarding HCV in 2020 to include one-time testing in all adults aged 18 years and older and screening of all pregnant women during each pregnancy, except where the prevalence of infection is less than 0.1%, a threshold that no state has yet achieved.
The US Preventive Services Task Force (USPSTF) subsequently followed suit in their own recommendations.
The American Association for the Study of Liver Diseases/Infectious Diseases Society of America have long advocated for extensive expansion in their screening recommendations for HCV, including pregnancy.
Although the American College of Obstetricians and Gynecologists and the Society for Maternal-Fetal Medicine did not immediately adopt these recommendations, they have since endorsed them in May 2021 and June 2021, respectively.
The hepatologist perspective
As a practicing hepatologist, this seems like an uncontroversial recommendation. Obstetricians already screen for hepatitis B virus in each pregnancy. It should be easy to add HCV testing to the same lab testing.
Risk-based screening has repeatedly been demonstrated to be ineffective. It should be easier to test all women than to ask prying questions about high-risk behaviors.
Given the increase of injection drug use and resultant HCV infections in women of childbearing age, this seems like a perfect opportunity to identify chronically infected women and counsel them on transmission and cure. And pregnancy is also unique in that it is a time of near-universal health coverage.
Let’s address some of the operational issues.
The diagnostic cascade for HCV can be made very easy. HCV antibody testing is our standard screening test and, when positive, can automatically reflex to HCV polymerase chain reaction (PCR), the diagnostic test. Thus, with one blood sample, you can both screen for and diagnose infection.
Current guidelines do not recommend treating HCV during pregnancy, although therapy can be considered on an individual basis. Linkage to a knowledgeable provider who can discuss transmission and treatment, as well as assess the stage of liver injury, should decrease the burden on the ob.gyn.
The impact on pregnancy is marginal. HCV should not change either the mode of delivery or the decision to breastfeed. The AASLD/IDSA guidance outlines only four recommendations for monitoring during pregnancy:
- Obtain HCV RNA to see whether the infection is active and assess liver function at initiation of prenatal care.
- Prenatal care should be tailored to the pregnancy. There is no modification recommended to decrease mother-to-child transmission (MTCT).
- Be aware that intrahepatic is more common with HCV.
- Women with have a higher rate of adverse outcomes and should be linked to a high-risk obstetrics specialist.
But of course, what seems easy to one specialist may not be true of another. With that in mind, let’s hear the ob.gyn. perspective on these updated screening recommendations.
The ob.gyn. perspective
Recent guidelines from the CDC, ACOG, and SMFM recommend universal screening for HCV in all pregnant women. The increased availability of highly effective antiviral regimens makes universal screening a logical strategy, especially to identify candidates for this curative treatment. What is questionable, however, is the recommended timing by which this screening should take place.
HCV screening during pregnancy, as currently recommended, provides no immediate benefit for the pregnant woman or the fetus/neonate, given that antiviral treatments have not been approved during gestation, and there are no known measures that decrease MTCT or change routine perinatal care.
We also must not forget that a significant proportion of women in the United States, particularly those with limited resources, do not receive prenatal care at all. Most of them, however, will present to a hospital for delivery. Consequently, compliance with screening might be higher if performed at the time of delivery rather than antepartum.
Deferring screening until the intrapartum or immediate postpartum period, at least until antiviral treatment during pregnancy becomes a reality, was discussed. The rationale was that this approach might obviate the need to deal with the unintended consequences and burden of testing for HCV during pregnancy. Ultimately, ACOG and SMFM fell in line with the CDC recommendations.
Despite the lack of robust evidence regarding the risk for MTCT associated with commonly performed obstetric procedures (for example, genetic amniocentesis, artificial rupture of the membranes during labor, placement of an intrauterine pressure catheter), clinicians may be reluctant to perform them in HCV-infected women, resulting in potential deviations from the obstetric standard of care.
Similarly, it is likely that patients may choose to have a cesarean delivery for the sole purpose of decreasing MTCT, despite the lack of evidence for this. Such ill-advised patient-driven decisions are increasingly likely in the current environment, where social media can rapidly disseminate misinformation.
Implications for pediatric patients
One cannot isolate HCV screening in pregnancy from the consequences that may potentially occur as part of the infant’s transition to the care of a pediatrician.
Even though MTCT is estimated to occur in just 5%-15% of cases, all children born to HCV viremic mothers should be screened for HCV.
Traditionally, screening for HCV antibodies occurred after 18 months of age. In those who test positive, HCV PCR testing is recommended at 3 years. However, this algorithm is being called into question because only approximately one-third of infants are successfully screened.
HCV RNA testing in the first year after birth has been suggested. However, even proponents of this approach concur that all management decisions should be deferred until after the age of 3 years, when medications are approved for pediatric use.
In addition, HCV testing would be required again before considering therapy because children have higher rates of spontaneous clearance.
Seeking consensus beyond the controversy
Controversy remains surrounding the most recent update to the HCV screening guidelines. The current recommendation to screen during pregnancy cannot modify the risk for MTCT, has no impact on decisions regarding mode of delivery or breastfeeding, and could potentially cause harm by making obstetricians defer necessary invasive procedures even though there are no data linking them to an increase in MTCT.
Yet after extensive debate, the CDC, USPSTF, AASLD/IDSA, ACOG, and SMFM all developed their current recommendations to initiate HCV screening during pregnancy. To make this successful, screening algorithms need to be simple and consistent across all society recommendations.
HCV antibody testing should always reflex to the diagnostic test (HCV PCR) to allow confirmation in those who test positive without requiring an additional blood test. Viremic mothers (those who are HCV positive on PCR) should be linked to a provider who can discuss prognosis, transmission, and treatment. The importance of screening the infant also must be communicated to the parents and pediatrician alike.
Dr. Reau has served as a director, officer, partner, employee, adviser, consultant, or trustee for AbbVie, Gilead, Arbutus, Intercept, and Salix; received research grants from AbbVie and Gilead; and received income from AASLD. Dr. Pacheco disclosed no relevant financial relationships.
A version of this article first appeared on Medscape.com.

