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Living donor liver transplants on rise for most urgent need
Living donor liver transplants (LDLT) for recipients with the most urgent need for a liver transplant in the next 3 months – a model for end-stage liver disease (MELD) score of 25 or higher – have become more frequent during the past decade, according to new findings presented at the annual meeting of the American Association for the Study of Liver Diseases.
Among LDLT recipients, researchers found comparable patient and graft survival at low and high MELD scores. But among patients with high MELD scores, researchers found lower adjusted graft survival and a higher transplant rate among those with living donors, compared with recipients of deceased donor liver transplantation (DDLT).
The findings suggest certain advantages of LDLT over DDLT may be lost in the high-MELD setting in terms of graft survival, said Benjamin Rosenthal, MD, an internal medicine resident focused on transplant hepatology at the Hospital of the University of Pennsylvania, Philadelphia.
“Historically, in the United States especially, living donor liver transplantation has been offered to patients with low or moderate MELD,” he said. “The outcomes of LDLT at high MELD are currently unknown.”
Previous data from the Adult-to-Adult Living Donor Liver Transplantation Cohort Study (A2ALL) found that LDLT offered a survival benefit versus remaining on the wait list, independent of MELD score, he said. A recent study also has demonstrated a survival benefit across MELD scores of 11-26, but findings for MELD scores of 25 and higher have been mixed.
Trends and outcomes in LDLT at high MELD scores
Dr. Rosenthal and colleagues conducted a retrospective cohort study of adult LDLT recipients from 2010 to 2021 using data from the Organ Procurement and Transplantation Network (OPTN), the U.S. donation and transplantation system.
In baseline characteristics among LDLT transplant recipients, there weren’t significant differences in age, sex, race, and ethnicity for MELD scores below 25 or at 25 and higher. There also weren’t significant differences in donor age, relationship, use of nondirected grafts, or percentage of right and left lobe donors for LDLT recipients. However, recipients with high MELD scores had more nonalcoholic steatohepatitis (29.5% versus 24.6%) and alcohol-assisted cirrhosis (21.6% versus 14.3%).
The research team evaluated graft survival among LDLT recipients by MELD below 25 and at 25 or higher. They also compared posttransplant patient and graft survival between LDLT and DDLT recipients with a MELD of 25 or higher. They excluded transplant candidates on the wait list for Status 1/1A, redo transplant, or multiorgan transplant.
Among the 3,590 patients who had LDLT between 2010 and 2021, 342 patients (9.5%) had a MELD of 25 or higher at transplant. There was some progression during the waiting period, Dr. Rosenthal noted, with a median listing MELD score of 19 among those who had a MELD of 25 or higher at transplant and 21 among those who had a MELD of 30 or higher at transplant.
For LDLT recipients with MELD scores above or below 25, researchers found no significant differences in adjusted patient survival or adjusted graft survival.
Then the team compared outcomes of LDLT and DDLT in high-MELD recipients. Among the 67,279-patient DDLT comparator group, 27,552 patients (41%) had a MELD of 25 or higher at transplant.
In terms of LDLT versus DDLT, unadjusted and adjusted patient survival were no different for patients with MELD of 25 or higher. In addition, unadjusted graft survival was no different.
However, adjusted graft survival was worse for LDLT recipients with high MELD scores. In addition, the retransplant rate was higher in LDLT recipients, at 5.7% versus 2.4%.
The reason why graft survival may be worse remains unclear, Dr. Rosenthal said. One hypothesis is that a low graft-to-recipient weight ratio in LDLT can cause small-for-size syndrome. However, these ratios were not available from OPTN.
“Further studies should be done to see what the benefit is, with graft-to-recipient weight ratios included,” he said. “The differences between DDLT and LDLT in this setting should be further explored as well.”
The research team also described temporal and transplant center trends for LDLT by MELD group. For temporal trends, they expanded the study period from 2002-2021.
The found a marked U.S. increase in the percentage of LDLT with a MELD of 25 or higher, particularly in the last decade and especially in the last 5 years. But the percentage of LDLT with high MELD remains lower than 15%, even in recent years, Dr. Rosenthal noted.
Across transplant centers, there was a trend toward centers with increasing LDLT volume having a greater proportion of LDLT recipients with a MELD of 25 or higher. At the 19.6% of centers performing 10 or fewer LDLT during the study period, none of the LDLT recipients had a MELD of 25 or higher, Dr. Rosenthal said.
The authors didn’t report a funding source. The authors declared no relevant disclosures.
Living donor liver transplants (LDLT) for recipients with the most urgent need for a liver transplant in the next 3 months – a model for end-stage liver disease (MELD) score of 25 or higher – have become more frequent during the past decade, according to new findings presented at the annual meeting of the American Association for the Study of Liver Diseases.
Among LDLT recipients, researchers found comparable patient and graft survival at low and high MELD scores. But among patients with high MELD scores, researchers found lower adjusted graft survival and a higher transplant rate among those with living donors, compared with recipients of deceased donor liver transplantation (DDLT).
The findings suggest certain advantages of LDLT over DDLT may be lost in the high-MELD setting in terms of graft survival, said Benjamin Rosenthal, MD, an internal medicine resident focused on transplant hepatology at the Hospital of the University of Pennsylvania, Philadelphia.
“Historically, in the United States especially, living donor liver transplantation has been offered to patients with low or moderate MELD,” he said. “The outcomes of LDLT at high MELD are currently unknown.”
Previous data from the Adult-to-Adult Living Donor Liver Transplantation Cohort Study (A2ALL) found that LDLT offered a survival benefit versus remaining on the wait list, independent of MELD score, he said. A recent study also has demonstrated a survival benefit across MELD scores of 11-26, but findings for MELD scores of 25 and higher have been mixed.
Trends and outcomes in LDLT at high MELD scores
Dr. Rosenthal and colleagues conducted a retrospective cohort study of adult LDLT recipients from 2010 to 2021 using data from the Organ Procurement and Transplantation Network (OPTN), the U.S. donation and transplantation system.
In baseline characteristics among LDLT transplant recipients, there weren’t significant differences in age, sex, race, and ethnicity for MELD scores below 25 or at 25 and higher. There also weren’t significant differences in donor age, relationship, use of nondirected grafts, or percentage of right and left lobe donors for LDLT recipients. However, recipients with high MELD scores had more nonalcoholic steatohepatitis (29.5% versus 24.6%) and alcohol-assisted cirrhosis (21.6% versus 14.3%).
The research team evaluated graft survival among LDLT recipients by MELD below 25 and at 25 or higher. They also compared posttransplant patient and graft survival between LDLT and DDLT recipients with a MELD of 25 or higher. They excluded transplant candidates on the wait list for Status 1/1A, redo transplant, or multiorgan transplant.
Among the 3,590 patients who had LDLT between 2010 and 2021, 342 patients (9.5%) had a MELD of 25 or higher at transplant. There was some progression during the waiting period, Dr. Rosenthal noted, with a median listing MELD score of 19 among those who had a MELD of 25 or higher at transplant and 21 among those who had a MELD of 30 or higher at transplant.
For LDLT recipients with MELD scores above or below 25, researchers found no significant differences in adjusted patient survival or adjusted graft survival.
Then the team compared outcomes of LDLT and DDLT in high-MELD recipients. Among the 67,279-patient DDLT comparator group, 27,552 patients (41%) had a MELD of 25 or higher at transplant.
In terms of LDLT versus DDLT, unadjusted and adjusted patient survival were no different for patients with MELD of 25 or higher. In addition, unadjusted graft survival was no different.
However, adjusted graft survival was worse for LDLT recipients with high MELD scores. In addition, the retransplant rate was higher in LDLT recipients, at 5.7% versus 2.4%.
The reason why graft survival may be worse remains unclear, Dr. Rosenthal said. One hypothesis is that a low graft-to-recipient weight ratio in LDLT can cause small-for-size syndrome. However, these ratios were not available from OPTN.
“Further studies should be done to see what the benefit is, with graft-to-recipient weight ratios included,” he said. “The differences between DDLT and LDLT in this setting should be further explored as well.”
The research team also described temporal and transplant center trends for LDLT by MELD group. For temporal trends, they expanded the study period from 2002-2021.
The found a marked U.S. increase in the percentage of LDLT with a MELD of 25 or higher, particularly in the last decade and especially in the last 5 years. But the percentage of LDLT with high MELD remains lower than 15%, even in recent years, Dr. Rosenthal noted.
Across transplant centers, there was a trend toward centers with increasing LDLT volume having a greater proportion of LDLT recipients with a MELD of 25 or higher. At the 19.6% of centers performing 10 or fewer LDLT during the study period, none of the LDLT recipients had a MELD of 25 or higher, Dr. Rosenthal said.
The authors didn’t report a funding source. The authors declared no relevant disclosures.
Living donor liver transplants (LDLT) for recipients with the most urgent need for a liver transplant in the next 3 months – a model for end-stage liver disease (MELD) score of 25 or higher – have become more frequent during the past decade, according to new findings presented at the annual meeting of the American Association for the Study of Liver Diseases.
Among LDLT recipients, researchers found comparable patient and graft survival at low and high MELD scores. But among patients with high MELD scores, researchers found lower adjusted graft survival and a higher transplant rate among those with living donors, compared with recipients of deceased donor liver transplantation (DDLT).
The findings suggest certain advantages of LDLT over DDLT may be lost in the high-MELD setting in terms of graft survival, said Benjamin Rosenthal, MD, an internal medicine resident focused on transplant hepatology at the Hospital of the University of Pennsylvania, Philadelphia.
“Historically, in the United States especially, living donor liver transplantation has been offered to patients with low or moderate MELD,” he said. “The outcomes of LDLT at high MELD are currently unknown.”
Previous data from the Adult-to-Adult Living Donor Liver Transplantation Cohort Study (A2ALL) found that LDLT offered a survival benefit versus remaining on the wait list, independent of MELD score, he said. A recent study also has demonstrated a survival benefit across MELD scores of 11-26, but findings for MELD scores of 25 and higher have been mixed.
Trends and outcomes in LDLT at high MELD scores
Dr. Rosenthal and colleagues conducted a retrospective cohort study of adult LDLT recipients from 2010 to 2021 using data from the Organ Procurement and Transplantation Network (OPTN), the U.S. donation and transplantation system.
In baseline characteristics among LDLT transplant recipients, there weren’t significant differences in age, sex, race, and ethnicity for MELD scores below 25 or at 25 and higher. There also weren’t significant differences in donor age, relationship, use of nondirected grafts, or percentage of right and left lobe donors for LDLT recipients. However, recipients with high MELD scores had more nonalcoholic steatohepatitis (29.5% versus 24.6%) and alcohol-assisted cirrhosis (21.6% versus 14.3%).
The research team evaluated graft survival among LDLT recipients by MELD below 25 and at 25 or higher. They also compared posttransplant patient and graft survival between LDLT and DDLT recipients with a MELD of 25 or higher. They excluded transplant candidates on the wait list for Status 1/1A, redo transplant, or multiorgan transplant.
Among the 3,590 patients who had LDLT between 2010 and 2021, 342 patients (9.5%) had a MELD of 25 or higher at transplant. There was some progression during the waiting period, Dr. Rosenthal noted, with a median listing MELD score of 19 among those who had a MELD of 25 or higher at transplant and 21 among those who had a MELD of 30 or higher at transplant.
For LDLT recipients with MELD scores above or below 25, researchers found no significant differences in adjusted patient survival or adjusted graft survival.
Then the team compared outcomes of LDLT and DDLT in high-MELD recipients. Among the 67,279-patient DDLT comparator group, 27,552 patients (41%) had a MELD of 25 or higher at transplant.
In terms of LDLT versus DDLT, unadjusted and adjusted patient survival were no different for patients with MELD of 25 or higher. In addition, unadjusted graft survival was no different.
However, adjusted graft survival was worse for LDLT recipients with high MELD scores. In addition, the retransplant rate was higher in LDLT recipients, at 5.7% versus 2.4%.
The reason why graft survival may be worse remains unclear, Dr. Rosenthal said. One hypothesis is that a low graft-to-recipient weight ratio in LDLT can cause small-for-size syndrome. However, these ratios were not available from OPTN.
“Further studies should be done to see what the benefit is, with graft-to-recipient weight ratios included,” he said. “The differences between DDLT and LDLT in this setting should be further explored as well.”
The research team also described temporal and transplant center trends for LDLT by MELD group. For temporal trends, they expanded the study period from 2002-2021.
The found a marked U.S. increase in the percentage of LDLT with a MELD of 25 or higher, particularly in the last decade and especially in the last 5 years. But the percentage of LDLT with high MELD remains lower than 15%, even in recent years, Dr. Rosenthal noted.
Across transplant centers, there was a trend toward centers with increasing LDLT volume having a greater proportion of LDLT recipients with a MELD of 25 or higher. At the 19.6% of centers performing 10 or fewer LDLT during the study period, none of the LDLT recipients had a MELD of 25 or higher, Dr. Rosenthal said.
The authors didn’t report a funding source. The authors declared no relevant disclosures.
FROM THE LIVER MEETING
Have you heard the one about the emergency dept. that called 911?
Who watches the ED staff?
We heard a really great joke recently, one we simply have to share.
A man in Seattle went to a therapist. “I’m depressed,” he says. “Depressed, overworked, and lonely.”
“Oh dear, that sounds quite serious,” the therapist replies. “Tell me all about it.”
“Life just seems so harsh and cruel,” the man explains. “The pandemic has caused 300,000 health care workers across the country to leave the industry.”
“Such as the doctor typically filling this role in the joke,” the therapist, who is not licensed to prescribe medicine, nods.
“Exactly! And with so many respiratory viruses circulating and COVID still hanging around, emergency departments all over the country are facing massive backups. People are waiting outside the hospital for hours, hoping a bed will open up. Things got so bad at a hospital near Seattle in October that a nurse called 911 on her own ED. Told the 911 operator to send the fire department to help out, since they were ‘drowning’ and ‘in dire straits.’ They had 45 patients waiting and only five nurses to take care of them.”
“That is quite serious,” the therapist says, scribbling down unseen notes.
“The fire chief did send a crew out, and they cleaned rooms, changed beds, and took vitals for 90 minutes until the crisis passed,” the man says. “But it’s only a matter of time before it happens again. The hospital president said they have 300 open positions, and literally no one has applied to work in the emergency department. Not one person.”
“And how does all this make you feel?” the therapist asks.
“I feel all alone,” the man says. “This world feels so threatening, like no one cares, and I have no idea what will come next. It’s so vague and uncertain.”
“Ah, I think I have a solution for you,” the therapist says. “Go to the emergency department at St. Michael Medical Center in Silverdale, near Seattle. They’ll get your bad mood all settled, and they’ll prescribe you the medicine you need to relax.”
The man bursts into tears. “You don’t understand,” he says. “I am the emergency department at St. Michael Medical Center.”
Good joke. Everybody laugh. Roll on snare drum. Curtains.
Myth buster: Supplements for cholesterol lowering
When it comes to that nasty low-density lipoprotein cholesterol, some people swear by supplements over statins as a holistic approach. Well, we’re busting the myth that those heart-healthy supplements are even effective in comparison.
Which supplements are we talking about? These six are always on sale at the pharmacy: fish oil, cinnamon, garlic, turmeric, plant sterols, and red yeast rice.
In a study presented at the recent American Heart Association scientific sessions, researchers compared these supplements’ effectiveness in lowering LDL cholesterol with low-dose rosuvastatin or placebo among 199 adults aged 40-75 years who didn’t have a personal history of cardiovascular disease.
Participants who took the statin for 28 days had an average of 24% decrease in total cholesterol and a 38% reduction in LDL cholesterol, while 28 days’ worth of the supplements did no better than the placebo in either measure. Compared with placebo, the plant sterols supplement notably lowered HDL cholesterol and the garlic supplement notably increased LDL cholesterol.
Even though there are other studies showing the validity of plant sterols and red yeast rice to lower LDL cholesterol, author Luke J. Laffin, MD, of the Cleveland Clinic noted that this study shows how supplement results can vary and that more research is needed to see the effect they truly have on cholesterol over time.
So, should you stop taking or recommending supplements for heart health or healthy cholesterol levels? Well, we’re not going to come to your house and raid your medicine cabinet, but the authors of this study are definitely not saying that you should rely on them.
Consider this myth mostly busted.
COVID dept. of unintended consequences, part 2
The surveillance testing programs conducted in the first year of the pandemic were, in theory, meant to keep everyone safer. Someone, apparently, forgot to explain that to the students of the University of Wyoming and the University of Idaho.
We’re all familiar with the drill: Students at the two schools had to undergo frequent COVID screening to keep the virus from spreading, thereby making everyone safer. Duck your head now, because here comes the unintended consequence.
The students who didn’t get COVID eventually, and perhaps not so surprisingly, “perceived that the mandatory testing policy decreased their risk of contracting COVID-19, and … this perception led to higher participation in COVID-risky events,” Chian Jones Ritten, PhD, and associates said in PNAS Nexus.
They surveyed 757 students from the Univ. of Washington and 517 from the Univ. of Idaho and found that those who were tested more frequently perceived that they were less likely to contract the virus. Those respondents also more frequently attended indoor gatherings, both small and large, and spent more time in restaurants and bars.
The investigators did not mince words: “From a public health standpoint, such behavior is problematic.”
Current parents/participants in the workforce might have other ideas about an appropriate response to COVID.
At this point, we probably should mention that appropriation is the second-most sincere form of flattery.
Who watches the ED staff?
We heard a really great joke recently, one we simply have to share.
A man in Seattle went to a therapist. “I’m depressed,” he says. “Depressed, overworked, and lonely.”
“Oh dear, that sounds quite serious,” the therapist replies. “Tell me all about it.”
“Life just seems so harsh and cruel,” the man explains. “The pandemic has caused 300,000 health care workers across the country to leave the industry.”
“Such as the doctor typically filling this role in the joke,” the therapist, who is not licensed to prescribe medicine, nods.
“Exactly! And with so many respiratory viruses circulating and COVID still hanging around, emergency departments all over the country are facing massive backups. People are waiting outside the hospital for hours, hoping a bed will open up. Things got so bad at a hospital near Seattle in October that a nurse called 911 on her own ED. Told the 911 operator to send the fire department to help out, since they were ‘drowning’ and ‘in dire straits.’ They had 45 patients waiting and only five nurses to take care of them.”
“That is quite serious,” the therapist says, scribbling down unseen notes.
“The fire chief did send a crew out, and they cleaned rooms, changed beds, and took vitals for 90 minutes until the crisis passed,” the man says. “But it’s only a matter of time before it happens again. The hospital president said they have 300 open positions, and literally no one has applied to work in the emergency department. Not one person.”
“And how does all this make you feel?” the therapist asks.
“I feel all alone,” the man says. “This world feels so threatening, like no one cares, and I have no idea what will come next. It’s so vague and uncertain.”
“Ah, I think I have a solution for you,” the therapist says. “Go to the emergency department at St. Michael Medical Center in Silverdale, near Seattle. They’ll get your bad mood all settled, and they’ll prescribe you the medicine you need to relax.”
The man bursts into tears. “You don’t understand,” he says. “I am the emergency department at St. Michael Medical Center.”
Good joke. Everybody laugh. Roll on snare drum. Curtains.
Myth buster: Supplements for cholesterol lowering
When it comes to that nasty low-density lipoprotein cholesterol, some people swear by supplements over statins as a holistic approach. Well, we’re busting the myth that those heart-healthy supplements are even effective in comparison.
Which supplements are we talking about? These six are always on sale at the pharmacy: fish oil, cinnamon, garlic, turmeric, plant sterols, and red yeast rice.
In a study presented at the recent American Heart Association scientific sessions, researchers compared these supplements’ effectiveness in lowering LDL cholesterol with low-dose rosuvastatin or placebo among 199 adults aged 40-75 years who didn’t have a personal history of cardiovascular disease.
Participants who took the statin for 28 days had an average of 24% decrease in total cholesterol and a 38% reduction in LDL cholesterol, while 28 days’ worth of the supplements did no better than the placebo in either measure. Compared with placebo, the plant sterols supplement notably lowered HDL cholesterol and the garlic supplement notably increased LDL cholesterol.
Even though there are other studies showing the validity of plant sterols and red yeast rice to lower LDL cholesterol, author Luke J. Laffin, MD, of the Cleveland Clinic noted that this study shows how supplement results can vary and that more research is needed to see the effect they truly have on cholesterol over time.
So, should you stop taking or recommending supplements for heart health or healthy cholesterol levels? Well, we’re not going to come to your house and raid your medicine cabinet, but the authors of this study are definitely not saying that you should rely on them.
Consider this myth mostly busted.
COVID dept. of unintended consequences, part 2
The surveillance testing programs conducted in the first year of the pandemic were, in theory, meant to keep everyone safer. Someone, apparently, forgot to explain that to the students of the University of Wyoming and the University of Idaho.
We’re all familiar with the drill: Students at the two schools had to undergo frequent COVID screening to keep the virus from spreading, thereby making everyone safer. Duck your head now, because here comes the unintended consequence.
The students who didn’t get COVID eventually, and perhaps not so surprisingly, “perceived that the mandatory testing policy decreased their risk of contracting COVID-19, and … this perception led to higher participation in COVID-risky events,” Chian Jones Ritten, PhD, and associates said in PNAS Nexus.
They surveyed 757 students from the Univ. of Washington and 517 from the Univ. of Idaho and found that those who were tested more frequently perceived that they were less likely to contract the virus. Those respondents also more frequently attended indoor gatherings, both small and large, and spent more time in restaurants and bars.
The investigators did not mince words: “From a public health standpoint, such behavior is problematic.”
Current parents/participants in the workforce might have other ideas about an appropriate response to COVID.
At this point, we probably should mention that appropriation is the second-most sincere form of flattery.
Who watches the ED staff?
We heard a really great joke recently, one we simply have to share.
A man in Seattle went to a therapist. “I’m depressed,” he says. “Depressed, overworked, and lonely.”
“Oh dear, that sounds quite serious,” the therapist replies. “Tell me all about it.”
“Life just seems so harsh and cruel,” the man explains. “The pandemic has caused 300,000 health care workers across the country to leave the industry.”
“Such as the doctor typically filling this role in the joke,” the therapist, who is not licensed to prescribe medicine, nods.
“Exactly! And with so many respiratory viruses circulating and COVID still hanging around, emergency departments all over the country are facing massive backups. People are waiting outside the hospital for hours, hoping a bed will open up. Things got so bad at a hospital near Seattle in October that a nurse called 911 on her own ED. Told the 911 operator to send the fire department to help out, since they were ‘drowning’ and ‘in dire straits.’ They had 45 patients waiting and only five nurses to take care of them.”
“That is quite serious,” the therapist says, scribbling down unseen notes.
“The fire chief did send a crew out, and they cleaned rooms, changed beds, and took vitals for 90 minutes until the crisis passed,” the man says. “But it’s only a matter of time before it happens again. The hospital president said they have 300 open positions, and literally no one has applied to work in the emergency department. Not one person.”
“And how does all this make you feel?” the therapist asks.
“I feel all alone,” the man says. “This world feels so threatening, like no one cares, and I have no idea what will come next. It’s so vague and uncertain.”
“Ah, I think I have a solution for you,” the therapist says. “Go to the emergency department at St. Michael Medical Center in Silverdale, near Seattle. They’ll get your bad mood all settled, and they’ll prescribe you the medicine you need to relax.”
The man bursts into tears. “You don’t understand,” he says. “I am the emergency department at St. Michael Medical Center.”
Good joke. Everybody laugh. Roll on snare drum. Curtains.
Myth buster: Supplements for cholesterol lowering
When it comes to that nasty low-density lipoprotein cholesterol, some people swear by supplements over statins as a holistic approach. Well, we’re busting the myth that those heart-healthy supplements are even effective in comparison.
Which supplements are we talking about? These six are always on sale at the pharmacy: fish oil, cinnamon, garlic, turmeric, plant sterols, and red yeast rice.
In a study presented at the recent American Heart Association scientific sessions, researchers compared these supplements’ effectiveness in lowering LDL cholesterol with low-dose rosuvastatin or placebo among 199 adults aged 40-75 years who didn’t have a personal history of cardiovascular disease.
Participants who took the statin for 28 days had an average of 24% decrease in total cholesterol and a 38% reduction in LDL cholesterol, while 28 days’ worth of the supplements did no better than the placebo in either measure. Compared with placebo, the plant sterols supplement notably lowered HDL cholesterol and the garlic supplement notably increased LDL cholesterol.
Even though there are other studies showing the validity of plant sterols and red yeast rice to lower LDL cholesterol, author Luke J. Laffin, MD, of the Cleveland Clinic noted that this study shows how supplement results can vary and that more research is needed to see the effect they truly have on cholesterol over time.
So, should you stop taking or recommending supplements for heart health or healthy cholesterol levels? Well, we’re not going to come to your house and raid your medicine cabinet, but the authors of this study are definitely not saying that you should rely on them.
Consider this myth mostly busted.
COVID dept. of unintended consequences, part 2
The surveillance testing programs conducted in the first year of the pandemic were, in theory, meant to keep everyone safer. Someone, apparently, forgot to explain that to the students of the University of Wyoming and the University of Idaho.
We’re all familiar with the drill: Students at the two schools had to undergo frequent COVID screening to keep the virus from spreading, thereby making everyone safer. Duck your head now, because here comes the unintended consequence.
The students who didn’t get COVID eventually, and perhaps not so surprisingly, “perceived that the mandatory testing policy decreased their risk of contracting COVID-19, and … this perception led to higher participation in COVID-risky events,” Chian Jones Ritten, PhD, and associates said in PNAS Nexus.
They surveyed 757 students from the Univ. of Washington and 517 from the Univ. of Idaho and found that those who were tested more frequently perceived that they were less likely to contract the virus. Those respondents also more frequently attended indoor gatherings, both small and large, and spent more time in restaurants and bars.
The investigators did not mince words: “From a public health standpoint, such behavior is problematic.”
Current parents/participants in the workforce might have other ideas about an appropriate response to COVID.
At this point, we probably should mention that appropriation is the second-most sincere form of flattery.
A Patient Presenting With Shortness of Breath, Fever, and Eosinophilia
A 70-year-old veteran with a history notable for type 2 diabetes mellitus, complicated by peripheral neuropathy and bilateral foot ulceration, and previous pulmonary tuberculosis (treated in June 2013) presented to an outside medical facility with bilateral worsening foot pain, swelling, and drainage of preexisting ulcers. He received a diagnosis of bilateral fifth toe osteomyelitis and was discharged with a 6-week course of IV daptomycin 600 mg (8 mg/kg) and ertapenem 1 g/d. At discharge, the patient was in stable condition. Follow-up was done by our outpatient parenteral antimicrobial therapy (OPAT) team, which consists of an infectious disease pharmacist and the physician director of antimicrobial stewardship who monitor veterans receiving outpatient IV antibiotic therapy.1
Three weeks later as part of the regular OPAT surveillance, the patient reported via telephone that his foot osteomyelitis was stable, but he had a 101 °F fever and a new cough. He was instructed to come to the emergency department (ED) immediately. On arrival, 
- What is your diagnosis?
- How would you treat this patient?
In the ED, the patient was given a provisional diagnosis of multifocal bacterial pneumonia and was admitted to the hospital for further management. His outpatient regimen of IV daptomycin and ertapenem was adjusted to IV vancomycin and meropenem. The infectious disease service was consulted within 24 hours of admission, and based on the new onset chest infiltrates, therapy with daptomycin and notable peripheral blood eosinophilia, a presumptive diagnosis of daptomycin-related acute eosinophilic pneumonia was made. A medication list review yielded no other potential etiologic agents for drug-related eosinophilia, and the patient did not have any remote or recent pertinent travel history concerning for parasitic disease.
The patient was treated with oral prednisone 40 mg (0.5 mg/kg) daily and the daptomycin was not restarted. Within 24 hours, the patient’s fevers, oxygen requirements, and cough subsided. Laboratory values 
Discussion
Daptomycin is a commonly used cyclic lipopeptide IV antibiotic with broad activity against gram-positive organisms, including methicillin-resistant Staphylococcus aureus (MRSA) and vancomycin-resistant Enterococcus (VRE). Daptomycin has emerged as a convenient alternative for infections typically treated with IV vancomycin: shorter infusion time (2-30 minutes vs 60-180 minutes), daily administration, and less need for dose adjustments. A recent survey reported higher satisfaction and less disruption in patients receiving daptomycin compared with vancomycin.2 The main daptomycin-specific adverse effect (AE) that warrants close monitoring is elevated creatine kinase (CK) levels and skeletal muscle breakdown (reversible after holding medication).3 Other rarely reported AEs include drug reaction with eosinophilia and systemic symptoms (DRESS), acute eosinophilic pneumonitis, hepatitis, and peripheral neuropathy.4-6 Consequently, weekly monitoring for this drug should include symptom inquiry for cough and muscle pain, and laboratory testing with CBC with differential, comprehensive metabolic panel (CMP), and CK.
Daptomycin-induced eosinophilic pneumonia has been described in several case reports and in a recent study, the frequency of this event was almost 5% in those receiving long-term daptomycin therapy.7 The most common symptoms include dyspnea, fever, infiltrates/opacities on chest imaging, and peripheral eosinophilia. It is theorized that the chemical structure of daptomycin causes immune-mediated pulmonary epithelial cell injury with eosinophils, resulting in increased peripheral eosinophilia.3 Risk factors that have been identified for daptomycin-induced eosinophilia include age > 70 years; the presence of comorbidities of heart and pulmonary disease; duration of daptomycin beyond 2 weeks; and cumulative doses over 10 g. Average onset of illness from initiation of daptomycin has been reported to be about 3 weeks.7,8 The diagnosis of daptomycin-induced eosinophilic pneumonitis is made on several criteria per the FDA. These include exposure to daptomycin, fever, dyspnea with oxygen requirement, new infiltrates on imaging, bronchoalveolar lavage with > 25% eosinophils, and last, clinical improvement on removal of the drug.9 However, as bronchoscopy is an invasive diagnostic modality, it is not always performed or necessary as seen in this case. Furthermore, not all patients will have peripheral eosinophilia, with only 77% of patients having that finding in a systematic review.10 Taken together, the overall true incidence of daptomycin-induced eosinophilia may be underestimated. Treatment involves discontinuation of the daptomycin and initiation of steroids. In a review of 35 cases, the majority did receive systemic steroids, usually 60 to 125 mg of IV methylprednisolone every 6 hours, which was converted to oral steroids and tapered over 2 to 6 weeks.10 However, all patients including those who did not receive steroids had symptom improvement or complete resolution, highlighting that prompt discontinuation of daptomycin is the most crucial intervention.
Conclusions
As home IV antibiotic therapy becomes increasingly used to facilitate shorter lengths of stay in hospitals and enable more patients to receive their infectious disease care at home, the general practitioner must be aware of the potential AEs of commonly used IV antibiotics. While acute cutaneous reactions and disturbances in renal and liver function are commonly recognized entities of adverse drug reactions, symptoms of fever and cough are more likely to be interpreted as acute viral or bacterial respiratory infections. A high index of clinical suspicion is needed for eosinophilic pneumonitis secondary to daptomycin. A simple and readily available test, such as a CBC with differential may facilitate the identification of this potentially serious AE, allowing prompt discontinuation of the drug.
1. Kent M, Kouma M, Jodlowski T, Cutrell JB. 755. Outpatient parenteral antimicrobial therapy program evaluation within a large Veterans Affairs healthcare system. Open Forum Infect Dis. 2019;6(suppl 2):S337. Published 2019 Oct 23. doi:10.1093/ofid/ofz360.823
2. Wu KH, Sakoulas G, Geriak M. Vancomycin or daptomycin for outpatient parenteral antibiotic therapy: does it make a difference in patient satisfaction? Open Forum Infect Dis. 2021;8(8):ofab418. Published 2021 Aug 30. doi:10.1093/ofid/ofab418
3. Gonzalez-Ruiz A, Seaton RA, Hamed K. Daptomycin: an evidence-based review of its role in the treatment of gram-positive infections. Infect Drug Resist. 2016;9:47-58. Published 2016 Apr 15. doi:10.2147/IDR.S99046
4. Sharifzadeh S, Mohammadpour AH, Tavanaee A, Elyasi S. Antibacterial antibiotic-induced drug reaction with eosinophilia and systemic symptoms (DRESS) syndrome: a literature review. Eur J Clin Pharmacol. 2021;77(3):275-289. doi:10.1007/s00228-020-03005-9
5. Mo Y, Nehring F, Jung AH, Housman ST. Possible hepatotoxicity associated with daptomycin: a case report and literature review. J Pharm Pract. 2016;29(3):253-256. doi:10.1177/0897190015625403
6. Villaverde Piñeiro L, Rabuñal Rey R, García Sabina A, Monte Secades R, García Pais MJ. Paralysis of the external popliteal sciatic nerve associated with daptomycin administration. J Clin Pharm Ther. 2018;43(4):578-580. doi:10.1111/jcpt.12666
7. Soldevila-Boixader L, Villanueva B, Ulldemolins M, et al. Risk factors of daptomycin-induced eosinophilic pneumonia in a population with osteoarticular infection. Antibiotics (Basel). 2021;10(4):446. Published 2021 Apr 16. doi:10.3390/antibiotics10040446
8. Kumar S, Acosta-Sanchez I, Rajagopalan N. Daptomycin-induced acute eosinophilic pneumonia. Cureus. 2018;10(6):e2899. Published 2018 Jun 30. doi:10.7759/cureus.2899
9. Center for Drug Evaluation and Research. Eosinophilic pneumonia associated with the use of cubicin. U.S. Food and Drug Administration. Updated August 3, 2017. Accessed October 10, 2022. https://www.fda.gov/drugs/postmarket-drug-safety-information-patients-and-providers/fda-drug-safety-communication-eosinophilic-pneumonia-associated-use-cubicin-daptomycin
10. Uppal P, LaPlante KL, Gaitanis MM, Jankowich MD, Ward KE. Daptomycin-induced eosinophilic pneumonia—a systematic review. Antimicrob Resist Infect Control. 2016;5:55. Published 2016 Dec 12. doi:10.1186/s13756-016-0158-8
A 70-year-old veteran with a history notable for type 2 diabetes mellitus, complicated by peripheral neuropathy and bilateral foot ulceration, and previous pulmonary tuberculosis (treated in June 2013) presented to an outside medical facility with bilateral worsening foot pain, swelling, and drainage of preexisting ulcers. He received a diagnosis of bilateral fifth toe osteomyelitis and was discharged with a 6-week course of IV daptomycin 600 mg (8 mg/kg) and ertapenem 1 g/d. At discharge, the patient was in stable condition. Follow-up was done by our outpatient parenteral antimicrobial therapy (OPAT) team, which consists of an infectious disease pharmacist and the physician director of antimicrobial stewardship who monitor veterans receiving outpatient IV antibiotic therapy.1
Three weeks later as part of the regular OPAT surveillance, the patient reported via telephone that his foot osteomyelitis was stable, but he had a 101 °F fever and a new cough. He was instructed to come to the emergency department (ED) immediately. On arrival,
- What is your diagnosis?
- How would you treat this patient?
In the ED, the patient was given a provisional diagnosis of multifocal bacterial pneumonia and was admitted to the hospital for further management. His outpatient regimen of IV daptomycin and ertapenem was adjusted to IV vancomycin and meropenem. The infectious disease service was consulted within 24 hours of admission, and based on the new onset chest infiltrates, therapy with daptomycin and notable peripheral blood eosinophilia, a presumptive diagnosis of daptomycin-related acute eosinophilic pneumonia was made. A medication list review yielded no other potential etiologic agents for drug-related eosinophilia, and the patient did not have any remote or recent pertinent travel history concerning for parasitic disease.
The patient was treated with oral prednisone 40 mg (0.5 mg/kg) daily and the daptomycin was not restarted. Within 24 hours, the patient’s fevers, oxygen requirements, and cough subsided. Laboratory values
Discussion
Daptomycin is a commonly used cyclic lipopeptide IV antibiotic with broad activity against gram-positive organisms, including methicillin-resistant Staphylococcus aureus (MRSA) and vancomycin-resistant Enterococcus (VRE). Daptomycin has emerged as a convenient alternative for infections typically treated with IV vancomycin: shorter infusion time (2-30 minutes vs 60-180 minutes), daily administration, and less need for dose adjustments. A recent survey reported higher satisfaction and less disruption in patients receiving daptomycin compared with vancomycin.2 The main daptomycin-specific adverse effect (AE) that warrants close monitoring is elevated creatine kinase (CK) levels and skeletal muscle breakdown (reversible after holding medication).3 Other rarely reported AEs include drug reaction with eosinophilia and systemic symptoms (DRESS), acute eosinophilic pneumonitis, hepatitis, and peripheral neuropathy.4-6 Consequently, weekly monitoring for this drug should include symptom inquiry for cough and muscle pain, and laboratory testing with CBC with differential, comprehensive metabolic panel (CMP), and CK.
Daptomycin-induced eosinophilic pneumonia has been described in several case reports and in a recent study, the frequency of this event was almost 5% in those receiving long-term daptomycin therapy.7 The most common symptoms include dyspnea, fever, infiltrates/opacities on chest imaging, and peripheral eosinophilia. It is theorized that the chemical structure of daptomycin causes immune-mediated pulmonary epithelial cell injury with eosinophils, resulting in increased peripheral eosinophilia.3 Risk factors that have been identified for daptomycin-induced eosinophilia include age > 70 years; the presence of comorbidities of heart and pulmonary disease; duration of daptomycin beyond 2 weeks; and cumulative doses over 10 g. Average onset of illness from initiation of daptomycin has been reported to be about 3 weeks.7,8 The diagnosis of daptomycin-induced eosinophilic pneumonitis is made on several criteria per the FDA. These include exposure to daptomycin, fever, dyspnea with oxygen requirement, new infiltrates on imaging, bronchoalveolar lavage with > 25% eosinophils, and last, clinical improvement on removal of the drug.9 However, as bronchoscopy is an invasive diagnostic modality, it is not always performed or necessary as seen in this case. Furthermore, not all patients will have peripheral eosinophilia, with only 77% of patients having that finding in a systematic review.10 Taken together, the overall true incidence of daptomycin-induced eosinophilia may be underestimated. Treatment involves discontinuation of the daptomycin and initiation of steroids. In a review of 35 cases, the majority did receive systemic steroids, usually 60 to 125 mg of IV methylprednisolone every 6 hours, which was converted to oral steroids and tapered over 2 to 6 weeks.10 However, all patients including those who did not receive steroids had symptom improvement or complete resolution, highlighting that prompt discontinuation of daptomycin is the most crucial intervention.
Conclusions
As home IV antibiotic therapy becomes increasingly used to facilitate shorter lengths of stay in hospitals and enable more patients to receive their infectious disease care at home, the general practitioner must be aware of the potential AEs of commonly used IV antibiotics. While acute cutaneous reactions and disturbances in renal and liver function are commonly recognized entities of adverse drug reactions, symptoms of fever and cough are more likely to be interpreted as acute viral or bacterial respiratory infections. A high index of clinical suspicion is needed for eosinophilic pneumonitis secondary to daptomycin. A simple and readily available test, such as a CBC with differential may facilitate the identification of this potentially serious AE, allowing prompt discontinuation of the drug.
A 70-year-old veteran with a history notable for type 2 diabetes mellitus, complicated by peripheral neuropathy and bilateral foot ulceration, and previous pulmonary tuberculosis (treated in June 2013) presented to an outside medical facility with bilateral worsening foot pain, swelling, and drainage of preexisting ulcers. He received a diagnosis of bilateral fifth toe osteomyelitis and was discharged with a 6-week course of IV daptomycin 600 mg (8 mg/kg) and ertapenem 1 g/d. At discharge, the patient was in stable condition. Follow-up was done by our outpatient parenteral antimicrobial therapy (OPAT) team, which consists of an infectious disease pharmacist and the physician director of antimicrobial stewardship who monitor veterans receiving outpatient IV antibiotic therapy.1
Three weeks later as part of the regular OPAT surveillance, the patient reported via telephone that his foot osteomyelitis was stable, but he had a 101 °F fever and a new cough. He was instructed to come to the emergency department (ED) immediately. On arrival,
- What is your diagnosis?
- How would you treat this patient?
In the ED, the patient was given a provisional diagnosis of multifocal bacterial pneumonia and was admitted to the hospital for further management. His outpatient regimen of IV daptomycin and ertapenem was adjusted to IV vancomycin and meropenem. The infectious disease service was consulted within 24 hours of admission, and based on the new onset chest infiltrates, therapy with daptomycin and notable peripheral blood eosinophilia, a presumptive diagnosis of daptomycin-related acute eosinophilic pneumonia was made. A medication list review yielded no other potential etiologic agents for drug-related eosinophilia, and the patient did not have any remote or recent pertinent travel history concerning for parasitic disease.
The patient was treated with oral prednisone 40 mg (0.5 mg/kg) daily and the daptomycin was not restarted. Within 24 hours, the patient’s fevers, oxygen requirements, and cough subsided. Laboratory values
Discussion
Daptomycin is a commonly used cyclic lipopeptide IV antibiotic with broad activity against gram-positive organisms, including methicillin-resistant Staphylococcus aureus (MRSA) and vancomycin-resistant Enterococcus (VRE). Daptomycin has emerged as a convenient alternative for infections typically treated with IV vancomycin: shorter infusion time (2-30 minutes vs 60-180 minutes), daily administration, and less need for dose adjustments. A recent survey reported higher satisfaction and less disruption in patients receiving daptomycin compared with vancomycin.2 The main daptomycin-specific adverse effect (AE) that warrants close monitoring is elevated creatine kinase (CK) levels and skeletal muscle breakdown (reversible after holding medication).3 Other rarely reported AEs include drug reaction with eosinophilia and systemic symptoms (DRESS), acute eosinophilic pneumonitis, hepatitis, and peripheral neuropathy.4-6 Consequently, weekly monitoring for this drug should include symptom inquiry for cough and muscle pain, and laboratory testing with CBC with differential, comprehensive metabolic panel (CMP), and CK.
Daptomycin-induced eosinophilic pneumonia has been described in several case reports and in a recent study, the frequency of this event was almost 5% in those receiving long-term daptomycin therapy.7 The most common symptoms include dyspnea, fever, infiltrates/opacities on chest imaging, and peripheral eosinophilia. It is theorized that the chemical structure of daptomycin causes immune-mediated pulmonary epithelial cell injury with eosinophils, resulting in increased peripheral eosinophilia.3 Risk factors that have been identified for daptomycin-induced eosinophilia include age > 70 years; the presence of comorbidities of heart and pulmonary disease; duration of daptomycin beyond 2 weeks; and cumulative doses over 10 g. Average onset of illness from initiation of daptomycin has been reported to be about 3 weeks.7,8 The diagnosis of daptomycin-induced eosinophilic pneumonitis is made on several criteria per the FDA. These include exposure to daptomycin, fever, dyspnea with oxygen requirement, new infiltrates on imaging, bronchoalveolar lavage with > 25% eosinophils, and last, clinical improvement on removal of the drug.9 However, as bronchoscopy is an invasive diagnostic modality, it is not always performed or necessary as seen in this case. Furthermore, not all patients will have peripheral eosinophilia, with only 77% of patients having that finding in a systematic review.10 Taken together, the overall true incidence of daptomycin-induced eosinophilia may be underestimated. Treatment involves discontinuation of the daptomycin and initiation of steroids. In a review of 35 cases, the majority did receive systemic steroids, usually 60 to 125 mg of IV methylprednisolone every 6 hours, which was converted to oral steroids and tapered over 2 to 6 weeks.10 However, all patients including those who did not receive steroids had symptom improvement or complete resolution, highlighting that prompt discontinuation of daptomycin is the most crucial intervention.
Conclusions
As home IV antibiotic therapy becomes increasingly used to facilitate shorter lengths of stay in hospitals and enable more patients to receive their infectious disease care at home, the general practitioner must be aware of the potential AEs of commonly used IV antibiotics. While acute cutaneous reactions and disturbances in renal and liver function are commonly recognized entities of adverse drug reactions, symptoms of fever and cough are more likely to be interpreted as acute viral or bacterial respiratory infections. A high index of clinical suspicion is needed for eosinophilic pneumonitis secondary to daptomycin. A simple and readily available test, such as a CBC with differential may facilitate the identification of this potentially serious AE, allowing prompt discontinuation of the drug.
1. Kent M, Kouma M, Jodlowski T, Cutrell JB. 755. Outpatient parenteral antimicrobial therapy program evaluation within a large Veterans Affairs healthcare system. Open Forum Infect Dis. 2019;6(suppl 2):S337. Published 2019 Oct 23. doi:10.1093/ofid/ofz360.823
2. Wu KH, Sakoulas G, Geriak M. Vancomycin or daptomycin for outpatient parenteral antibiotic therapy: does it make a difference in patient satisfaction? Open Forum Infect Dis. 2021;8(8):ofab418. Published 2021 Aug 30. doi:10.1093/ofid/ofab418
3. Gonzalez-Ruiz A, Seaton RA, Hamed K. Daptomycin: an evidence-based review of its role in the treatment of gram-positive infections. Infect Drug Resist. 2016;9:47-58. Published 2016 Apr 15. doi:10.2147/IDR.S99046
4. Sharifzadeh S, Mohammadpour AH, Tavanaee A, Elyasi S. Antibacterial antibiotic-induced drug reaction with eosinophilia and systemic symptoms (DRESS) syndrome: a literature review. Eur J Clin Pharmacol. 2021;77(3):275-289. doi:10.1007/s00228-020-03005-9
5. Mo Y, Nehring F, Jung AH, Housman ST. Possible hepatotoxicity associated with daptomycin: a case report and literature review. J Pharm Pract. 2016;29(3):253-256. doi:10.1177/0897190015625403
6. Villaverde Piñeiro L, Rabuñal Rey R, García Sabina A, Monte Secades R, García Pais MJ. Paralysis of the external popliteal sciatic nerve associated with daptomycin administration. J Clin Pharm Ther. 2018;43(4):578-580. doi:10.1111/jcpt.12666
7. Soldevila-Boixader L, Villanueva B, Ulldemolins M, et al. Risk factors of daptomycin-induced eosinophilic pneumonia in a population with osteoarticular infection. Antibiotics (Basel). 2021;10(4):446. Published 2021 Apr 16. doi:10.3390/antibiotics10040446
8. Kumar S, Acosta-Sanchez I, Rajagopalan N. Daptomycin-induced acute eosinophilic pneumonia. Cureus. 2018;10(6):e2899. Published 2018 Jun 30. doi:10.7759/cureus.2899
9. Center for Drug Evaluation and Research. Eosinophilic pneumonia associated with the use of cubicin. U.S. Food and Drug Administration. Updated August 3, 2017. Accessed October 10, 2022. https://www.fda.gov/drugs/postmarket-drug-safety-information-patients-and-providers/fda-drug-safety-communication-eosinophilic-pneumonia-associated-use-cubicin-daptomycin
10. Uppal P, LaPlante KL, Gaitanis MM, Jankowich MD, Ward KE. Daptomycin-induced eosinophilic pneumonia—a systematic review. Antimicrob Resist Infect Control. 2016;5:55. Published 2016 Dec 12. doi:10.1186/s13756-016-0158-8
1. Kent M, Kouma M, Jodlowski T, Cutrell JB. 755. Outpatient parenteral antimicrobial therapy program evaluation within a large Veterans Affairs healthcare system. Open Forum Infect Dis. 2019;6(suppl 2):S337. Published 2019 Oct 23. doi:10.1093/ofid/ofz360.823
2. Wu KH, Sakoulas G, Geriak M. Vancomycin or daptomycin for outpatient parenteral antibiotic therapy: does it make a difference in patient satisfaction? Open Forum Infect Dis. 2021;8(8):ofab418. Published 2021 Aug 30. doi:10.1093/ofid/ofab418
3. Gonzalez-Ruiz A, Seaton RA, Hamed K. Daptomycin: an evidence-based review of its role in the treatment of gram-positive infections. Infect Drug Resist. 2016;9:47-58. Published 2016 Apr 15. doi:10.2147/IDR.S99046
4. Sharifzadeh S, Mohammadpour AH, Tavanaee A, Elyasi S. Antibacterial antibiotic-induced drug reaction with eosinophilia and systemic symptoms (DRESS) syndrome: a literature review. Eur J Clin Pharmacol. 2021;77(3):275-289. doi:10.1007/s00228-020-03005-9
5. Mo Y, Nehring F, Jung AH, Housman ST. Possible hepatotoxicity associated with daptomycin: a case report and literature review. J Pharm Pract. 2016;29(3):253-256. doi:10.1177/0897190015625403
6. Villaverde Piñeiro L, Rabuñal Rey R, García Sabina A, Monte Secades R, García Pais MJ. Paralysis of the external popliteal sciatic nerve associated with daptomycin administration. J Clin Pharm Ther. 2018;43(4):578-580. doi:10.1111/jcpt.12666
7. Soldevila-Boixader L, Villanueva B, Ulldemolins M, et al. Risk factors of daptomycin-induced eosinophilic pneumonia in a population with osteoarticular infection. Antibiotics (Basel). 2021;10(4):446. Published 2021 Apr 16. doi:10.3390/antibiotics10040446
8. Kumar S, Acosta-Sanchez I, Rajagopalan N. Daptomycin-induced acute eosinophilic pneumonia. Cureus. 2018;10(6):e2899. Published 2018 Jun 30. doi:10.7759/cureus.2899
9. Center for Drug Evaluation and Research. Eosinophilic pneumonia associated with the use of cubicin. U.S. Food and Drug Administration. Updated August 3, 2017. Accessed October 10, 2022. https://www.fda.gov/drugs/postmarket-drug-safety-information-patients-and-providers/fda-drug-safety-communication-eosinophilic-pneumonia-associated-use-cubicin-daptomycin
10. Uppal P, LaPlante KL, Gaitanis MM, Jankowich MD, Ward KE. Daptomycin-induced eosinophilic pneumonia—a systematic review. Antimicrob Resist Infect Control. 2016;5:55. Published 2016 Dec 12. doi:10.1186/s13756-016-0158-8
Medicaid coverage of HPV vaccine in adults: Implications in dermatology
, according to the authors of a review of Medicaid policies across all 50 states.
The human papillomavirus (HPV) vaccine is approved for people aged 9-45 years, for preventing genital, cervical, anal, and oropharyngeal cancers, and genital warts. And the Centers for Disease Control and Prevention Advisory Committee on Immunization Practices recommends routine vaccination with the HPV vaccine for individuals aged 9-26 years, with “shared clinical decision-making” recommended for vaccination of those aged 27-45 years, wrote Nathaniel Goldman of New York Medical College, Valhalla, and coauthors, from the University of Missouri–Kansas City and Harvard Medical School, Boston.
A total of 33 states offered formal statewide Medicaid coverage policies that were accessible online or through the state’s Medicaid office. Another 11 states provided coverage through Medicaid managed care organizations, and 4 states had HPV vaccination as part of their formal Medicaid adult vaccination programs.
Overall, 43 states covered HPV vaccination through age 45 years with no need for prior authorization, and another 4 states (Ohio, Maine, Nebraska, and New York) provided coverage with prior authorization for adults older than 26 years.
The study findings were limited by the use of Medicaid coverage only, the researchers noted. Consequently, patients eligible for HPV vaccination who are uninsured or have other types of insurance may face additional barriers in the form of high costs, given that the current retail price is $250-$350 per shot for the three-shot series, the researchers noted.
However, the results suggest that Medicaid coverage for HPV vaccination may inform dermatologists’ recommendations for patients at increased risk, they said. More research is needed to “better identify dermatology patients at risk for new HPV infection and ways to improve vaccination rates in these vulnerable individuals,” they added.
Vaccine discussions are important in dermatology
“Dermatologists care for patients who may be an increased risk of vaccine-preventable illnesses, either from a skin disease or a dermatology medication,” corresponding author Megan H. Noe, MD, a dermatologist at Brigham and Women’s Hospital, and assistant professor of dermatology, Harvard Medical School, Boston, said in an interview. “Over the last several years, we have seen that all physicians, whether they provide vaccinations or not, can play an important role in discussing vaccines with their patients,” she said.
“Vaccines can be cost-prohibitive for patients without insurance coverage, so we hope that dermatologists will be more likely to recommend the HPV vaccine to patients 27-45 years of age if they know that it is likely covered by insurance,” Dr. Noe noted. 
However, “time may be a barrier for many dermatologists who have many important things to discuss with patients during their appointments,” she said. “We are currently working on developing educational information to help facilitate this conversation,” she added.
Looking ahead, she said that “additional research is necessary to create vaccine guidelines specific to dermatology patients and dermatology medications, so we can provide clear recommendations to our patients and ensure appropriate insurance coverage for all necessary vaccines.”
Vaccine discussions
“I think it’s great that many Medicaid plans are covering HPV vaccination,” said Karl Saardi, MD, of the department of dermatology, George Washington University, Washington, who was asked to comment on the study. “I routinely recommend [vaccination] for patients who have viral warts, since it does lead to improvement in some cases,” Dr. Saardi, who was not involved in the current study, said in an interview. “Although we don’t have the HPV vaccines in our clinic for administration, my experience has been that patients are very open to discussing it with their primary care doctors.”
Although the upper age range continues to rise, “I think getting younger people vaccinated will also prove to be important,” said Dr. Saardi, director of the inpatient dermatology service at the George Washington University Hospital.
The point made in the current study about the importance of HPV vaccination in patients with hidradenitis suppurativa is also crucial, he added. “Since chronic skin inflammation in hidradenitis drives squamous cell carcinoma, reducing the impact of HPV on such cancers makes perfect sense.”
The study received no outside funding. Dr. Noe disclosed grants from Boehringer Ingelheim unrelated to the current study. Dr. Saardi had no financial conflicts to disclose.
, according to the authors of a review of Medicaid policies across all 50 states.
The human papillomavirus (HPV) vaccine is approved for people aged 9-45 years, for preventing genital, cervical, anal, and oropharyngeal cancers, and genital warts. And the Centers for Disease Control and Prevention Advisory Committee on Immunization Practices recommends routine vaccination with the HPV vaccine for individuals aged 9-26 years, with “shared clinical decision-making” recommended for vaccination of those aged 27-45 years, wrote Nathaniel Goldman of New York Medical College, Valhalla, and coauthors, from the University of Missouri–Kansas City and Harvard Medical School, Boston.
A total of 33 states offered formal statewide Medicaid coverage policies that were accessible online or through the state’s Medicaid office. Another 11 states provided coverage through Medicaid managed care organizations, and 4 states had HPV vaccination as part of their formal Medicaid adult vaccination programs.
Overall, 43 states covered HPV vaccination through age 45 years with no need for prior authorization, and another 4 states (Ohio, Maine, Nebraska, and New York) provided coverage with prior authorization for adults older than 26 years.
The study findings were limited by the use of Medicaid coverage only, the researchers noted. Consequently, patients eligible for HPV vaccination who are uninsured or have other types of insurance may face additional barriers in the form of high costs, given that the current retail price is $250-$350 per shot for the three-shot series, the researchers noted.
However, the results suggest that Medicaid coverage for HPV vaccination may inform dermatologists’ recommendations for patients at increased risk, they said. More research is needed to “better identify dermatology patients at risk for new HPV infection and ways to improve vaccination rates in these vulnerable individuals,” they added.
Vaccine discussions are important in dermatology
“Dermatologists care for patients who may be an increased risk of vaccine-preventable illnesses, either from a skin disease or a dermatology medication,” corresponding author Megan H. Noe, MD, a dermatologist at Brigham and Women’s Hospital, and assistant professor of dermatology, Harvard Medical School, Boston, said in an interview. “Over the last several years, we have seen that all physicians, whether they provide vaccinations or not, can play an important role in discussing vaccines with their patients,” she said.
“Vaccines can be cost-prohibitive for patients without insurance coverage, so we hope that dermatologists will be more likely to recommend the HPV vaccine to patients 27-45 years of age if they know that it is likely covered by insurance,” Dr. Noe noted.
However, “time may be a barrier for many dermatologists who have many important things to discuss with patients during their appointments,” she said. “We are currently working on developing educational information to help facilitate this conversation,” she added.
Looking ahead, she said that “additional research is necessary to create vaccine guidelines specific to dermatology patients and dermatology medications, so we can provide clear recommendations to our patients and ensure appropriate insurance coverage for all necessary vaccines.”
Vaccine discussions
“I think it’s great that many Medicaid plans are covering HPV vaccination,” said Karl Saardi, MD, of the department of dermatology, George Washington University, Washington, who was asked to comment on the study. “I routinely recommend [vaccination] for patients who have viral warts, since it does lead to improvement in some cases,” Dr. Saardi, who was not involved in the current study, said in an interview. “Although we don’t have the HPV vaccines in our clinic for administration, my experience has been that patients are very open to discussing it with their primary care doctors.”
Although the upper age range continues to rise, “I think getting younger people vaccinated will also prove to be important,” said Dr. Saardi, director of the inpatient dermatology service at the George Washington University Hospital.
The point made in the current study about the importance of HPV vaccination in patients with hidradenitis suppurativa is also crucial, he added. “Since chronic skin inflammation in hidradenitis drives squamous cell carcinoma, reducing the impact of HPV on such cancers makes perfect sense.”
The study received no outside funding. Dr. Noe disclosed grants from Boehringer Ingelheim unrelated to the current study. Dr. Saardi had no financial conflicts to disclose.
, according to the authors of a review of Medicaid policies across all 50 states.
The human papillomavirus (HPV) vaccine is approved for people aged 9-45 years, for preventing genital, cervical, anal, and oropharyngeal cancers, and genital warts. And the Centers for Disease Control and Prevention Advisory Committee on Immunization Practices recommends routine vaccination with the HPV vaccine for individuals aged 9-26 years, with “shared clinical decision-making” recommended for vaccination of those aged 27-45 years, wrote Nathaniel Goldman of New York Medical College, Valhalla, and coauthors, from the University of Missouri–Kansas City and Harvard Medical School, Boston.
A total of 33 states offered formal statewide Medicaid coverage policies that were accessible online or through the state’s Medicaid office. Another 11 states provided coverage through Medicaid managed care organizations, and 4 states had HPV vaccination as part of their formal Medicaid adult vaccination programs.
Overall, 43 states covered HPV vaccination through age 45 years with no need for prior authorization, and another 4 states (Ohio, Maine, Nebraska, and New York) provided coverage with prior authorization for adults older than 26 years.
The study findings were limited by the use of Medicaid coverage only, the researchers noted. Consequently, patients eligible for HPV vaccination who are uninsured or have other types of insurance may face additional barriers in the form of high costs, given that the current retail price is $250-$350 per shot for the three-shot series, the researchers noted.
However, the results suggest that Medicaid coverage for HPV vaccination may inform dermatologists’ recommendations for patients at increased risk, they said. More research is needed to “better identify dermatology patients at risk for new HPV infection and ways to improve vaccination rates in these vulnerable individuals,” they added.
Vaccine discussions are important in dermatology
“Dermatologists care for patients who may be an increased risk of vaccine-preventable illnesses, either from a skin disease or a dermatology medication,” corresponding author Megan H. Noe, MD, a dermatologist at Brigham and Women’s Hospital, and assistant professor of dermatology, Harvard Medical School, Boston, said in an interview. “Over the last several years, we have seen that all physicians, whether they provide vaccinations or not, can play an important role in discussing vaccines with their patients,” she said.
“Vaccines can be cost-prohibitive for patients without insurance coverage, so we hope that dermatologists will be more likely to recommend the HPV vaccine to patients 27-45 years of age if they know that it is likely covered by insurance,” Dr. Noe noted.
However, “time may be a barrier for many dermatologists who have many important things to discuss with patients during their appointments,” she said. “We are currently working on developing educational information to help facilitate this conversation,” she added.
Looking ahead, she said that “additional research is necessary to create vaccine guidelines specific to dermatology patients and dermatology medications, so we can provide clear recommendations to our patients and ensure appropriate insurance coverage for all necessary vaccines.”
Vaccine discussions
“I think it’s great that many Medicaid plans are covering HPV vaccination,” said Karl Saardi, MD, of the department of dermatology, George Washington University, Washington, who was asked to comment on the study. “I routinely recommend [vaccination] for patients who have viral warts, since it does lead to improvement in some cases,” Dr. Saardi, who was not involved in the current study, said in an interview. “Although we don’t have the HPV vaccines in our clinic for administration, my experience has been that patients are very open to discussing it with their primary care doctors.”
Although the upper age range continues to rise, “I think getting younger people vaccinated will also prove to be important,” said Dr. Saardi, director of the inpatient dermatology service at the George Washington University Hospital.
The point made in the current study about the importance of HPV vaccination in patients with hidradenitis suppurativa is also crucial, he added. “Since chronic skin inflammation in hidradenitis drives squamous cell carcinoma, reducing the impact of HPV on such cancers makes perfect sense.”
The study received no outside funding. Dr. Noe disclosed grants from Boehringer Ingelheim unrelated to the current study. Dr. Saardi had no financial conflicts to disclose.
FROM JAMA DERMATOLOGY
Chronic hepatitis B infections associated with a range of liver malignancies
, shows a new study conducted in South Korea.
In this study, which was published in the Journal of Clinical Oncology, researchers found that long-term treatment with nucleos(t)ide analogues (NAs) for patients with chronic hepatitis B lowered their risk of developing extrahepatic cancer types.
In addition to lowering the risk of liver cancers, treatment with nucleos(t)ide analogues, including tenofovir disoproxil fumarate, entecavir, lamivudine, telbivudine, adefovir, and clevudine, lowered the risk of developing cancer of the pancreas and prostate, but increased the risk of breast cancer.
By controlling chronic hepatitis B infections (CHB), NAs have been known to reduce the risk of hepatocellular carcinoma and intrahepatic cholangiocarcinoma. About half of the 700,000 people who die each year from chronic hepatitis B infections also have an intrahepatic malignancy.
But extrahepatic cholangiocarcinoma, in which tumors grow outside of the liver in the bile ducts, is exceedingly rare, affecting only 8,000 people each year in the United States.
The study was led by Jeong-Hoon Lee, MD, PhD, Seoul National University, South Korea.
The study details
Researchers sought to understand whether CHB treatment with NA drugs could reduce the risk of extrahepatic cancer. The study is based on an analysis of South Korean medical insurance claims data that included 90,944 patients (6,539 treated with NAs) with a newly diagnosed chronic hepatitis B infection, and 685,436 controls. The median age of the groups ranged from 47 to 51, and the percentage of men ranged from 51.3% to 62.5%.
Over the median 47.4-month study period, 3.9% (30,413) of subjects developed cancer outside the liver. Patients with CHB who weren’t treated with NAs had a higher overall risk vs. the NA-treatment group (adjusted subdistribution hazard ratio = 1.28; 95% confidence interval, 1.12-1.45; P < .001) and vs. controls (aSHR = 1.22; 95% CI, 1.18-1.26; P < .001).
The researchers write that “the direction of the original result was maintained” even after adjustment for cancer risk factors such as smoking and alcohol consumption. “Randomized controlled trials might be warranted to explore whether NA treatment will reduce the risk of extrahepatic malignancy in patients with CHB outside the current treatment indication,” they wrote.
In an accompanying commentary, Lewis R. Roberts, MBChB, PhD, of Mayo Clinic, Rochester, Minn., said that what is perhaps “the most controversial result ... one that is not the direct subject of their study, the observation that NA treatment was not associated with a decrease in risk of primary intrahepatic malignancy – hepatocellular carcinoma (HCC) or intrahepatic cholangiocarcinoma. The observed decrease in risk of intrahepatic malignancy was 12%, with an adjusted subdistribution hazard ratio of 0.88 (95% CI, 0.77-1.01; P = .08).”
As Dr. Roberts wrote, the authors suggested this could be related to the low prevalence of cirrhosis in the study group. “This explanation is plausible, as it has previously been shown that the major impact of NA treatment in reducing HCC incidence is in those with CHB-induced cirrhosis,” he wrote.
Dr. Roberts added that randomized trials of NA in CHB would be difficult because the drugs are so effective. “The most important implication of this study may be the observation that CHB is associated with a higher risk of a range of extrahepatic malignancies, and the opportunity to advise patients with CHB to adhere to current recommendations for screening for the major cancer types.”
The study was publicly funded, but several study authors report numerous disclosures including relationships with Yuhan Corporation, Bayer, Gilead Sciences, Bristol Myers Squibb, and others. Dr. Roberts reports numerous personal and institutional disclosures including relationships with Bayer, Gilead Sciences, Medscape, Roche, and others plus a patent and royalties.
, shows a new study conducted in South Korea.
In this study, which was published in the Journal of Clinical Oncology, researchers found that long-term treatment with nucleos(t)ide analogues (NAs) for patients with chronic hepatitis B lowered their risk of developing extrahepatic cancer types.
In addition to lowering the risk of liver cancers, treatment with nucleos(t)ide analogues, including tenofovir disoproxil fumarate, entecavir, lamivudine, telbivudine, adefovir, and clevudine, lowered the risk of developing cancer of the pancreas and prostate, but increased the risk of breast cancer.
By controlling chronic hepatitis B infections (CHB), NAs have been known to reduce the risk of hepatocellular carcinoma and intrahepatic cholangiocarcinoma. About half of the 700,000 people who die each year from chronic hepatitis B infections also have an intrahepatic malignancy.
But extrahepatic cholangiocarcinoma, in which tumors grow outside of the liver in the bile ducts, is exceedingly rare, affecting only 8,000 people each year in the United States.
The study was led by Jeong-Hoon Lee, MD, PhD, Seoul National University, South Korea.
The study details
Researchers sought to understand whether CHB treatment with NA drugs could reduce the risk of extrahepatic cancer. The study is based on an analysis of South Korean medical insurance claims data that included 90,944 patients (6,539 treated with NAs) with a newly diagnosed chronic hepatitis B infection, and 685,436 controls. The median age of the groups ranged from 47 to 51, and the percentage of men ranged from 51.3% to 62.5%.
Over the median 47.4-month study period, 3.9% (30,413) of subjects developed cancer outside the liver. Patients with CHB who weren’t treated with NAs had a higher overall risk vs. the NA-treatment group (adjusted subdistribution hazard ratio = 1.28; 95% confidence interval, 1.12-1.45; P < .001) and vs. controls (aSHR = 1.22; 95% CI, 1.18-1.26; P < .001).
The researchers write that “the direction of the original result was maintained” even after adjustment for cancer risk factors such as smoking and alcohol consumption. “Randomized controlled trials might be warranted to explore whether NA treatment will reduce the risk of extrahepatic malignancy in patients with CHB outside the current treatment indication,” they wrote.
In an accompanying commentary, Lewis R. Roberts, MBChB, PhD, of Mayo Clinic, Rochester, Minn., said that what is perhaps “the most controversial result ... one that is not the direct subject of their study, the observation that NA treatment was not associated with a decrease in risk of primary intrahepatic malignancy – hepatocellular carcinoma (HCC) or intrahepatic cholangiocarcinoma. The observed decrease in risk of intrahepatic malignancy was 12%, with an adjusted subdistribution hazard ratio of 0.88 (95% CI, 0.77-1.01; P = .08).”
As Dr. Roberts wrote, the authors suggested this could be related to the low prevalence of cirrhosis in the study group. “This explanation is plausible, as it has previously been shown that the major impact of NA treatment in reducing HCC incidence is in those with CHB-induced cirrhosis,” he wrote.
Dr. Roberts added that randomized trials of NA in CHB would be difficult because the drugs are so effective. “The most important implication of this study may be the observation that CHB is associated with a higher risk of a range of extrahepatic malignancies, and the opportunity to advise patients with CHB to adhere to current recommendations for screening for the major cancer types.”
The study was publicly funded, but several study authors report numerous disclosures including relationships with Yuhan Corporation, Bayer, Gilead Sciences, Bristol Myers Squibb, and others. Dr. Roberts reports numerous personal and institutional disclosures including relationships with Bayer, Gilead Sciences, Medscape, Roche, and others plus a patent and royalties.
, shows a new study conducted in South Korea.
In this study, which was published in the Journal of Clinical Oncology, researchers found that long-term treatment with nucleos(t)ide analogues (NAs) for patients with chronic hepatitis B lowered their risk of developing extrahepatic cancer types.
In addition to lowering the risk of liver cancers, treatment with nucleos(t)ide analogues, including tenofovir disoproxil fumarate, entecavir, lamivudine, telbivudine, adefovir, and clevudine, lowered the risk of developing cancer of the pancreas and prostate, but increased the risk of breast cancer.
By controlling chronic hepatitis B infections (CHB), NAs have been known to reduce the risk of hepatocellular carcinoma and intrahepatic cholangiocarcinoma. About half of the 700,000 people who die each year from chronic hepatitis B infections also have an intrahepatic malignancy.
But extrahepatic cholangiocarcinoma, in which tumors grow outside of the liver in the bile ducts, is exceedingly rare, affecting only 8,000 people each year in the United States.
The study was led by Jeong-Hoon Lee, MD, PhD, Seoul National University, South Korea.
The study details
Researchers sought to understand whether CHB treatment with NA drugs could reduce the risk of extrahepatic cancer. The study is based on an analysis of South Korean medical insurance claims data that included 90,944 patients (6,539 treated with NAs) with a newly diagnosed chronic hepatitis B infection, and 685,436 controls. The median age of the groups ranged from 47 to 51, and the percentage of men ranged from 51.3% to 62.5%.
Over the median 47.4-month study period, 3.9% (30,413) of subjects developed cancer outside the liver. Patients with CHB who weren’t treated with NAs had a higher overall risk vs. the NA-treatment group (adjusted subdistribution hazard ratio = 1.28; 95% confidence interval, 1.12-1.45; P < .001) and vs. controls (aSHR = 1.22; 95% CI, 1.18-1.26; P < .001).
The researchers write that “the direction of the original result was maintained” even after adjustment for cancer risk factors such as smoking and alcohol consumption. “Randomized controlled trials might be warranted to explore whether NA treatment will reduce the risk of extrahepatic malignancy in patients with CHB outside the current treatment indication,” they wrote.
In an accompanying commentary, Lewis R. Roberts, MBChB, PhD, of Mayo Clinic, Rochester, Minn., said that what is perhaps “the most controversial result ... one that is not the direct subject of their study, the observation that NA treatment was not associated with a decrease in risk of primary intrahepatic malignancy – hepatocellular carcinoma (HCC) or intrahepatic cholangiocarcinoma. The observed decrease in risk of intrahepatic malignancy was 12%, with an adjusted subdistribution hazard ratio of 0.88 (95% CI, 0.77-1.01; P = .08).”
As Dr. Roberts wrote, the authors suggested this could be related to the low prevalence of cirrhosis in the study group. “This explanation is plausible, as it has previously been shown that the major impact of NA treatment in reducing HCC incidence is in those with CHB-induced cirrhosis,” he wrote.
Dr. Roberts added that randomized trials of NA in CHB would be difficult because the drugs are so effective. “The most important implication of this study may be the observation that CHB is associated with a higher risk of a range of extrahepatic malignancies, and the opportunity to advise patients with CHB to adhere to current recommendations for screening for the major cancer types.”
The study was publicly funded, but several study authors report numerous disclosures including relationships with Yuhan Corporation, Bayer, Gilead Sciences, Bristol Myers Squibb, and others. Dr. Roberts reports numerous personal and institutional disclosures including relationships with Bayer, Gilead Sciences, Medscape, Roche, and others plus a patent and royalties.
FROM JOURNAL OF CLINICAL ONCOLOGY
The Long Arc of Justice for Veteran Benefits
This Veterans Day we honor the passing of the largest expansion of veterans benefits and services in history. On August 10, 2022, President Biden signed the Sergeant First Class Heath Robinson Honoring our Promise to Address Comprehensive Toxics (PACT) Act. This act was named for a combat medic who died of a rare form of lung cancer believed to be the result of a toxic military exposure. His widow was present during the President's State of the Union address that urged Congress to pass the legislation.2
Like all other congressional bills and government regulations, the PACT Act is complex in its details and still a work in progress. Simply put, the PACT Act expands and/or extends enrollment for a group of previously ineligible veterans. Eligibility will no longer require that veterans demonstrate a service-connected disability due to toxic exposure, including those from burn pits. This has long been a barrier for many veterans seeking benefits and not just related to toxic exposures. Logistical barriers and documentary losses have prevented many service members from establishing a clean chain of evidence for the injuries or illnesses they sustained while in uniform.
The new process is a massive step forward by the US Department of Veterans Affairs (VA) to establish high standards of procedural justice for settling beneficiary claims. The PACT Act removes the burden from the shoulders of the veteran and places it squarely on the VA to demonstrate that > 20 different medical conditions--primarily cancers and respiratory illnesses--are linked to toxic exposure. The VA must establish that exposure occurred to cohorts of service members in specific theaters and time frames. A veteran who served in that area and period and has one of the indexed illnesses is presumed to have been exposed in the line of duty.3,4
As a result, the VA instituted a new screening process to determine that toxic military exposures (a) led to illness; and (b) both exposure and illness are connected to service. According to the VA, the new process is evidence based, transparent, and allows the VA to fast-track policy decisions related to exposures. The PACT Act includes a provision intended to promote sustained implementation and prevent the program from succumbing as so many new initiatives have to inadequate adoption. VA is required to deploy its considerable internal research capacity to collaborate with external partners in and outside government to study military members with toxic exposures.4
Congress had initially proposed that the provisions of the PACT ACT would take effect in 2026, providing time to ramp up the process. The White House and VA telescoped that time line so veterans can begin now to apply for benefits that they could foreseeably receive in 2023. However, a long-standing problem for the VA has been unfunded agency or congressional mandates. These have often end in undermining the legislative intention or policy purpose of the program undermining their legislative intention or policy purpose through staffing shortages, leading to lack of or delayed access. The PACT Act promises to eschew the infamous Phoenix problem by providing increased personnel, training infrastructure, and technology resources for both the Veterans Benefit Administration and the Veterans Health Administration. Ironically, many seasoned VA observers expect the PACT expansion will lead to even larger backlogs of claims as hundreds of newly eligible veterans are added to the extant rolls of those seeking benefits.5
An estimated 1 in 5 veterans may be entitled to PACT benefits. The PACT Act is the latest of a long uneven movement toward distributive justice for veteran benefits and services. It is fitting in the month of Veterans Day 2022 to trace that trajectory. Congress first passed veteran benefits legislation in 1917, focused on soldiers with disabilities. This resulted in a massive investment in building hospitals. Ironically, part of the impetus for VA health care was an earlier toxic military exposure. World War I service members suffered from the detrimental effects of mustard gas among other chemical byproducts. In 1924, VA benefits and services underwent a momentous opening to include individuals with non-service-connected disabilities. Four years later, the VA tent became even bigger, welcoming women, National Guard, and militia members to receive care under its auspices.6
The PACT Act is a fitting memorial for Veterans Day as an increasingly divided country presents a unified response to veterans and their survivors exposed to a variety of toxins across multiple wars. The PACT Act was hard won with veterans and their advocates having to fight years of political bickering, government abdication of accountability, and scientific sparring before this bipartisan legislation passed.7 It covers Vietnam War veterans with several conditions due to Agent Orange exposure; Gulf War and post-9/11 veterans with cancer and respiratory conditions; and the service members deployed to Afghanistan and Iraq afflicted with illnesses due to the smoke of burn pits and other toxins.
As many areas of the country roll back LGBTQ+ rights to health care and social services, the VA has emerged as a leader in the movement for diversity and inclusion. VA Secretary McDonough provided a pathway to VA eligibility for other than honorably discharged veterans, including those LGBTQ+ persons discharged under Don't Ask, Don't Tell.8 Lest we take this new inclusivity for granted, we should never forget that this journey toward equity for the military and VA has been long, slow, and uneven. There are many difficult miles yet to travel if we are to achieve liberty and justice for veteran members of racial minorities, women, and other marginalized populations. Even the PACT Act does not cover all putative exposures to toxins.9 Yet it is a significant step closer to fulfilling the motto of the VA LGBTQ+ program: to serve all who served.10
- Parker T. Of justice and the conscience. In: Ten Sermons of Religion. Crosby, Nichols and Company; 1853:66-85.
- The White House. Fact sheet: President Biden signs the PACT Act and delivers on his promise to America's veterans. August 9, 2022. Accessed October 24, 2022. https://www.whitehouse.gov/briefing-room/statements-releases/2022/08/10/fact-sheet-president-biden-signs-the-pact-act-and-delivers-on-his-promise-to-americas-veterans
- Shane L. Vets can apply for all PACT benefits now after VA speeds up law. Military Times. September 1, 2022. Accessed October 24, 2022. https://www.militarytimes.com/news/burn-pits/2022/09/01/vets-can-apply-for-all-pact-act-benefits-now-after-va-speeds-up-law
- US Department of Veterans Affairs. The PACT Act and your VA benefits. Updated September 28, 2022. Accessed October 24, 2022. https://www.va.gov/resources/the-pact-act-and-your-va-benefits
- Wentling N. Discharged LGBTQ+ veterans now eligible for benefits under new guidance issued by VA. Stars & Stripes. September 20, 2021. Accessed October 24, 2022. https://www.stripes.com/veterans/2021-09-20/veterans-affairs-dont-ask-dont-tell-benefits-lgbt-discharges-2956761.html
- US Department of Veterans Affairs, VA History Office. History--Department of Veterans Affairs (VA). Updated May 27, 2021. Accessed October 24, 2022. https://www.va.gov/HISTORY/VA_History/Overview.asp
- Atkins D, Kilbourne A, Lipson L. Health equity research in the Veterans Health Administration: we've come far but aren't there yet. Am J Public Health. 2014;104(suppl 4):S525-S526. doi:10.2105/AJPH.2014.302216
- Stack MK. The soldiers came home sick. The government denied it was responsible. New York Times. Updated January 16, 2022. Accessed October 24, 2022. https://www.nytimes.com/2022/01/11/magazine/military-burn-pits.html
- Namaz A, Sagalyn D. VA secretary discusses health care overhaul helping veterans exposed to toxic burn pits. PBS NewsHour. September 1, 2022. Accessed October 24, 2022. https://www.pbs.org/newshour/show/va-secretary-discusses-health-care-overhaul-helping-veterans-exposed-to-toxic-burn-pits
- US Department of Veterans Affairs, Patient Care Services. VHA LGBTQ+ health program. Updated September 13, 2022. Accessed October 31, 2022. https://www.patientcare.va.gov/lgbt
This Veterans Day we honor the passing of the largest expansion of veterans benefits and services in history. On August 10, 2022, President Biden signed the Sergeant First Class Heath Robinson Honoring our Promise to Address Comprehensive Toxics (PACT) Act. This act was named for a combat medic who died of a rare form of lung cancer believed to be the result of a toxic military exposure. His widow was present during the President's State of the Union address that urged Congress to pass the legislation.2
Like all other congressional bills and government regulations, the PACT Act is complex in its details and still a work in progress. Simply put, the PACT Act expands and/or extends enrollment for a group of previously ineligible veterans. Eligibility will no longer require that veterans demonstrate a service-connected disability due to toxic exposure, including those from burn pits. This has long been a barrier for many veterans seeking benefits and not just related to toxic exposures. Logistical barriers and documentary losses have prevented many service members from establishing a clean chain of evidence for the injuries or illnesses they sustained while in uniform.
The new process is a massive step forward by the US Department of Veterans Affairs (VA) to establish high standards of procedural justice for settling beneficiary claims. The PACT Act removes the burden from the shoulders of the veteran and places it squarely on the VA to demonstrate that > 20 different medical conditions--primarily cancers and respiratory illnesses--are linked to toxic exposure. The VA must establish that exposure occurred to cohorts of service members in specific theaters and time frames. A veteran who served in that area and period and has one of the indexed illnesses is presumed to have been exposed in the line of duty.3,4
As a result, the VA instituted a new screening process to determine that toxic military exposures (a) led to illness; and (b) both exposure and illness are connected to service. According to the VA, the new process is evidence based, transparent, and allows the VA to fast-track policy decisions related to exposures. The PACT Act includes a provision intended to promote sustained implementation and prevent the program from succumbing as so many new initiatives have to inadequate adoption. VA is required to deploy its considerable internal research capacity to collaborate with external partners in and outside government to study military members with toxic exposures.4
Congress had initially proposed that the provisions of the PACT ACT would take effect in 2026, providing time to ramp up the process. The White House and VA telescoped that time line so veterans can begin now to apply for benefits that they could foreseeably receive in 2023. However, a long-standing problem for the VA has been unfunded agency or congressional mandates. These have often end in undermining the legislative intention or policy purpose of the program undermining their legislative intention or policy purpose through staffing shortages, leading to lack of or delayed access. The PACT Act promises to eschew the infamous Phoenix problem by providing increased personnel, training infrastructure, and technology resources for both the Veterans Benefit Administration and the Veterans Health Administration. Ironically, many seasoned VA observers expect the PACT expansion will lead to even larger backlogs of claims as hundreds of newly eligible veterans are added to the extant rolls of those seeking benefits.5
An estimated 1 in 5 veterans may be entitled to PACT benefits. The PACT Act is the latest of a long uneven movement toward distributive justice for veteran benefits and services. It is fitting in the month of Veterans Day 2022 to trace that trajectory. Congress first passed veteran benefits legislation in 1917, focused on soldiers with disabilities. This resulted in a massive investment in building hospitals. Ironically, part of the impetus for VA health care was an earlier toxic military exposure. World War I service members suffered from the detrimental effects of mustard gas among other chemical byproducts. In 1924, VA benefits and services underwent a momentous opening to include individuals with non-service-connected disabilities. Four years later, the VA tent became even bigger, welcoming women, National Guard, and militia members to receive care under its auspices.6
The PACT Act is a fitting memorial for Veterans Day as an increasingly divided country presents a unified response to veterans and their survivors exposed to a variety of toxins across multiple wars. The PACT Act was hard won with veterans and their advocates having to fight years of political bickering, government abdication of accountability, and scientific sparring before this bipartisan legislation passed.7 It covers Vietnam War veterans with several conditions due to Agent Orange exposure; Gulf War and post-9/11 veterans with cancer and respiratory conditions; and the service members deployed to Afghanistan and Iraq afflicted with illnesses due to the smoke of burn pits and other toxins.
As many areas of the country roll back LGBTQ+ rights to health care and social services, the VA has emerged as a leader in the movement for diversity and inclusion. VA Secretary McDonough provided a pathway to VA eligibility for other than honorably discharged veterans, including those LGBTQ+ persons discharged under Don't Ask, Don't Tell.8 Lest we take this new inclusivity for granted, we should never forget that this journey toward equity for the military and VA has been long, slow, and uneven. There are many difficult miles yet to travel if we are to achieve liberty and justice for veteran members of racial minorities, women, and other marginalized populations. Even the PACT Act does not cover all putative exposures to toxins.9 Yet it is a significant step closer to fulfilling the motto of the VA LGBTQ+ program: to serve all who served.10
This Veterans Day we honor the passing of the largest expansion of veterans benefits and services in history. On August 10, 2022, President Biden signed the Sergeant First Class Heath Robinson Honoring our Promise to Address Comprehensive Toxics (PACT) Act. This act was named for a combat medic who died of a rare form of lung cancer believed to be the result of a toxic military exposure. His widow was present during the President's State of the Union address that urged Congress to pass the legislation.2
Like all other congressional bills and government regulations, the PACT Act is complex in its details and still a work in progress. Simply put, the PACT Act expands and/or extends enrollment for a group of previously ineligible veterans. Eligibility will no longer require that veterans demonstrate a service-connected disability due to toxic exposure, including those from burn pits. This has long been a barrier for many veterans seeking benefits and not just related to toxic exposures. Logistical barriers and documentary losses have prevented many service members from establishing a clean chain of evidence for the injuries or illnesses they sustained while in uniform.
The new process is a massive step forward by the US Department of Veterans Affairs (VA) to establish high standards of procedural justice for settling beneficiary claims. The PACT Act removes the burden from the shoulders of the veteran and places it squarely on the VA to demonstrate that > 20 different medical conditions--primarily cancers and respiratory illnesses--are linked to toxic exposure. The VA must establish that exposure occurred to cohorts of service members in specific theaters and time frames. A veteran who served in that area and period and has one of the indexed illnesses is presumed to have been exposed in the line of duty.3,4
As a result, the VA instituted a new screening process to determine that toxic military exposures (a) led to illness; and (b) both exposure and illness are connected to service. According to the VA, the new process is evidence based, transparent, and allows the VA to fast-track policy decisions related to exposures. The PACT Act includes a provision intended to promote sustained implementation and prevent the program from succumbing as so many new initiatives have to inadequate adoption. VA is required to deploy its considerable internal research capacity to collaborate with external partners in and outside government to study military members with toxic exposures.4
Congress had initially proposed that the provisions of the PACT ACT would take effect in 2026, providing time to ramp up the process. The White House and VA telescoped that time line so veterans can begin now to apply for benefits that they could foreseeably receive in 2023. However, a long-standing problem for the VA has been unfunded agency or congressional mandates. These have often end in undermining the legislative intention or policy purpose of the program undermining their legislative intention or policy purpose through staffing shortages, leading to lack of or delayed access. The PACT Act promises to eschew the infamous Phoenix problem by providing increased personnel, training infrastructure, and technology resources for both the Veterans Benefit Administration and the Veterans Health Administration. Ironically, many seasoned VA observers expect the PACT expansion will lead to even larger backlogs of claims as hundreds of newly eligible veterans are added to the extant rolls of those seeking benefits.5
An estimated 1 in 5 veterans may be entitled to PACT benefits. The PACT Act is the latest of a long uneven movement toward distributive justice for veteran benefits and services. It is fitting in the month of Veterans Day 2022 to trace that trajectory. Congress first passed veteran benefits legislation in 1917, focused on soldiers with disabilities. This resulted in a massive investment in building hospitals. Ironically, part of the impetus for VA health care was an earlier toxic military exposure. World War I service members suffered from the detrimental effects of mustard gas among other chemical byproducts. In 1924, VA benefits and services underwent a momentous opening to include individuals with non-service-connected disabilities. Four years later, the VA tent became even bigger, welcoming women, National Guard, and militia members to receive care under its auspices.6
The PACT Act is a fitting memorial for Veterans Day as an increasingly divided country presents a unified response to veterans and their survivors exposed to a variety of toxins across multiple wars. The PACT Act was hard won with veterans and their advocates having to fight years of political bickering, government abdication of accountability, and scientific sparring before this bipartisan legislation passed.7 It covers Vietnam War veterans with several conditions due to Agent Orange exposure; Gulf War and post-9/11 veterans with cancer and respiratory conditions; and the service members deployed to Afghanistan and Iraq afflicted with illnesses due to the smoke of burn pits and other toxins.
As many areas of the country roll back LGBTQ+ rights to health care and social services, the VA has emerged as a leader in the movement for diversity and inclusion. VA Secretary McDonough provided a pathway to VA eligibility for other than honorably discharged veterans, including those LGBTQ+ persons discharged under Don't Ask, Don't Tell.8 Lest we take this new inclusivity for granted, we should never forget that this journey toward equity for the military and VA has been long, slow, and uneven. There are many difficult miles yet to travel if we are to achieve liberty and justice for veteran members of racial minorities, women, and other marginalized populations. Even the PACT Act does not cover all putative exposures to toxins.9 Yet it is a significant step closer to fulfilling the motto of the VA LGBTQ+ program: to serve all who served.10
- Parker T. Of justice and the conscience. In: Ten Sermons of Religion. Crosby, Nichols and Company; 1853:66-85.
- The White House. Fact sheet: President Biden signs the PACT Act and delivers on his promise to America's veterans. August 9, 2022. Accessed October 24, 2022. https://www.whitehouse.gov/briefing-room/statements-releases/2022/08/10/fact-sheet-president-biden-signs-the-pact-act-and-delivers-on-his-promise-to-americas-veterans
- Shane L. Vets can apply for all PACT benefits now after VA speeds up law. Military Times. September 1, 2022. Accessed October 24, 2022. https://www.militarytimes.com/news/burn-pits/2022/09/01/vets-can-apply-for-all-pact-act-benefits-now-after-va-speeds-up-law
- US Department of Veterans Affairs. The PACT Act and your VA benefits. Updated September 28, 2022. Accessed October 24, 2022. https://www.va.gov/resources/the-pact-act-and-your-va-benefits
- Wentling N. Discharged LGBTQ+ veterans now eligible for benefits under new guidance issued by VA. Stars & Stripes. September 20, 2021. Accessed October 24, 2022. https://www.stripes.com/veterans/2021-09-20/veterans-affairs-dont-ask-dont-tell-benefits-lgbt-discharges-2956761.html
- US Department of Veterans Affairs, VA History Office. History--Department of Veterans Affairs (VA). Updated May 27, 2021. Accessed October 24, 2022. https://www.va.gov/HISTORY/VA_History/Overview.asp
- Atkins D, Kilbourne A, Lipson L. Health equity research in the Veterans Health Administration: we've come far but aren't there yet. Am J Public Health. 2014;104(suppl 4):S525-S526. doi:10.2105/AJPH.2014.302216
- Stack MK. The soldiers came home sick. The government denied it was responsible. New York Times. Updated January 16, 2022. Accessed October 24, 2022. https://www.nytimes.com/2022/01/11/magazine/military-burn-pits.html
- Namaz A, Sagalyn D. VA secretary discusses health care overhaul helping veterans exposed to toxic burn pits. PBS NewsHour. September 1, 2022. Accessed October 24, 2022. https://www.pbs.org/newshour/show/va-secretary-discusses-health-care-overhaul-helping-veterans-exposed-to-toxic-burn-pits
- US Department of Veterans Affairs, Patient Care Services. VHA LGBTQ+ health program. Updated September 13, 2022. Accessed October 31, 2022. https://www.patientcare.va.gov/lgbt
- Parker T. Of justice and the conscience. In: Ten Sermons of Religion. Crosby, Nichols and Company; 1853:66-85.
- The White House. Fact sheet: President Biden signs the PACT Act and delivers on his promise to America's veterans. August 9, 2022. Accessed October 24, 2022. https://www.whitehouse.gov/briefing-room/statements-releases/2022/08/10/fact-sheet-president-biden-signs-the-pact-act-and-delivers-on-his-promise-to-americas-veterans
- Shane L. Vets can apply for all PACT benefits now after VA speeds up law. Military Times. September 1, 2022. Accessed October 24, 2022. https://www.militarytimes.com/news/burn-pits/2022/09/01/vets-can-apply-for-all-pact-act-benefits-now-after-va-speeds-up-law
- US Department of Veterans Affairs. The PACT Act and your VA benefits. Updated September 28, 2022. Accessed October 24, 2022. https://www.va.gov/resources/the-pact-act-and-your-va-benefits
- Wentling N. Discharged LGBTQ+ veterans now eligible for benefits under new guidance issued by VA. Stars & Stripes. September 20, 2021. Accessed October 24, 2022. https://www.stripes.com/veterans/2021-09-20/veterans-affairs-dont-ask-dont-tell-benefits-lgbt-discharges-2956761.html
- US Department of Veterans Affairs, VA History Office. History--Department of Veterans Affairs (VA). Updated May 27, 2021. Accessed October 24, 2022. https://www.va.gov/HISTORY/VA_History/Overview.asp
- Atkins D, Kilbourne A, Lipson L. Health equity research in the Veterans Health Administration: we've come far but aren't there yet. Am J Public Health. 2014;104(suppl 4):S525-S526. doi:10.2105/AJPH.2014.302216
- Stack MK. The soldiers came home sick. The government denied it was responsible. New York Times. Updated January 16, 2022. Accessed October 24, 2022. https://www.nytimes.com/2022/01/11/magazine/military-burn-pits.html
- Namaz A, Sagalyn D. VA secretary discusses health care overhaul helping veterans exposed to toxic burn pits. PBS NewsHour. September 1, 2022. Accessed October 24, 2022. https://www.pbs.org/newshour/show/va-secretary-discusses-health-care-overhaul-helping-veterans-exposed-to-toxic-burn-pits
- US Department of Veterans Affairs, Patient Care Services. VHA LGBTQ+ health program. Updated September 13, 2022. Accessed October 31, 2022. https://www.patientcare.va.gov/lgbt
Leukocytoclastic Vasculitis Masquerading as Chronic ITP
Idiopathic thrombocytopenic purpura (ITP) is an immune-mediated acquired condition affecting both adults and children.1 Acute ITP is the most common form, which happens in the presence of a precipitant, leading to a drop in platelet counts. However, chronic ITP can occur when all the causes that might precipitate thrombocytopenia have been ruled out, and it is persistent for ≥ 12 months.2 Its presence can mask other diseases that exhibit somewhat similar signs and symptoms. We present a case of a patient presenting with chronic ITP with diffuse rash and was later diagnosed with idiopathic leukocytoclastic vasculitis (LCV).
Case Presentation
A 79-year-old presented to the hospital with 2-day history of a rash. The rash was purpureal and petechial and located on the trunk and bilateral upper and lower extremities. The rash was associated with itchiness and pain in the wrists, ankles, and small joints of the hands. The patient reported no changes in medication or diet,
The patient mentioned that at the time of diagnosis the platelet count was about 90,000 but had been fluctuating between 50 and 60,000 recently. The patient also reported no history of gum bleeding, nosebleeds, hemoptysis, hematemesis, or any miscarriages. She also had difficulty voiding for 2 to 3 days but no dysuria, frequency, urgency, or incontinence.
Laboratory results were significant for 57,000/µL platelet count (normal range, 150,000-450,000), elevated d-dimer (6.07), < 6 mg/dL C4 (normal range, 88-201). Hemoglobin level, coagulation panel, hemolytic panel, and fibrinogen level results were unremarkable. The hepatitis panel, Lyme disease, and HIV test were negative. The peripheral blood smear showed moderate thrombocytopenia, mild monocytosis, and borderline normochromic normocytic anemia without schistocytes. The autoimmune panel to evaluate thrombocytopenia showed platelet antibody against glycoprotein (GP) IIb/IIIa, GP Ib/Ix, GP Ia/IIa, suggestive toward a diagnosis of chronic idiopathic ITP. However, the skin biopsy of the rash was indicative of LCV.
An autoimmune panel for vasculitis, including antinuclear antibody and antidouble-stranded DNA, was negative. While in the hospital, the patient completed the course of ciprofloxacin for the UTI, the rash started to fade without any intervention, and the platelet count improved to 69,000/µL. The patient was discharged after 3 days with the recommendation to follow up with her hematologist.
Discussion
LCV is a small vessel vasculitis of the dermal capillaries and venules. Histologically, LCV is characterized by fibrinoid necrosis of the vessel wall with frequent neutrophils, nuclear dust, and extravasated erythrocytes.3
Although a thorough evaluation is recommended to determine etiology, about 50% of cases are idiopathic. The most common precipitants are acute infection or a new medication. Postinfectious LCV is most commonly seen after streptococcal upper respiratory tract infection. Among other infectious triggers, Mycobacterium, Staphylococcus aureus, chlamydia, Neisseria, HIV, hepatitis B, hepatitis C, and syphilis are noteworthy. Foods, autoimmune disease, collagen vascular disease, and malignancy are also associated with LCV.4
In our patient we could not find any specific identifiable triggers. However, the presence of a UTI as a precipitating factor cannot be ruled out.5 Moreover, the patient received ciprofloxacin and there have been several case reports of LCV associated with use of a fluroquinolone.6 Nevertheless, in the presence of chronic ITP, which also is an auto-immune condition, an idiopathic cause seemed a reasonable explanation for the patient’s etiopathogenesis.
The cutaneous manifestations of LCV may appear about 1 to 3 weeks after the triggering event if present. The major clinical findings include palpable purpura and/or petechiae that are nonblanching. These findings can easily be confused with other diagnoses especially in the presence of a similar preexisting diagnosis. For example, our patient already had chronic ITP, and in such circumstances, a diagnosis of superimposed LCV can be easily missed without a thorough investigation. Extracutaneous manifestations with LCV are less common. Systemic symptoms may include low-grade fevers, malaise, weight loss, myalgia, and arthralgia. These findings have been noted in about 30% of affected patients, with arthralgia the most common manifestation.7 Our patient also presented with pain involving multiple joints.
The mainstay of diagnosis for LCV is a skin biopsy with direct immunofluorescence. However, a workup for an underlying condition should be considered based on clinical suspicion. If a secondary cause is found, management should target treating the underlying cause, including withdrawal of the offending drug, treatment or control of the underlying infection, malignancy, or connective tissue disease. Most cases of idiopathic cutaneous LCV resolve with supportive measures, including leg elevation, rest, compression stockings, and antihistamines. In resistant cases, a 4- to 6-week tapering dose of corticosteroids and immunosuppressive steroid-sparing agents may be needed.8
Conclusions
Although most cases of LCV are mild and resolve without intervention, many cases go undiagnosed due to a delay in performing a biopsy. However, we should always look for the root cause of a patient’s condition to rule out underlying contributing conditions. Differentiating LCV from any other preexisting condition presenting similarly is important.
1. Gaurav K, Keith RM. Immune thrombocytopenia. Hematol Oncol Clin North Am. 2013;27(3): 495-520. doi:10.1016/j.hoc.2013.03.001
2. Rodeghiero F, Stasi R, Gernsheimer T, et al. Standardization of terminology, definitions and outcome criteria in immune thrombocytopenic purpura of adults and children: report from an international working group. Blood. 2009;113(11):2386-2393.
3. James WD, Berger TG, Elston DM. Andrews’ Diseases of the Skin: Clinical Dermatology. 11th ed. Saunders/Elsevier; 2011.
4. Einhorn J, Levis JT. Dermatologic diagnosis: leukocytoclastic vasculitis. Perm J. 2015;19(3):77-78. doi:10.7812/TPP/15-001
5. The role of infectious agents in the pathogenesis of vasculitis. Nicolò P, Carlo S. Best Pract Res Clin Rheumatol. 2008;22(5):897-911. doi:10.7812/TPP/15-001
6. Maunz G, Conzett T, Zimmerli W. Cutaneous vasculitis associated with fluoroquinolones. Infection. 2009;37(5):466-468. doi:10.1007/s15010-009-8437-4
7. Baigrie D, Goyal A, Crane J.C. Leukocytoclastic vasculitis. StatPearls [internet]. Updated May 8, 2022. Accessed October 10, 2022. https://www.ncbi.nlm.nih.gov/books/NBK482159
8. Micheletti RG, Pagnoux C. Management of cutaneous vasculitis. Presse Med. 2020; 49(3):104033. doi:10.1016/j.lpm.2020.104033
Idiopathic thrombocytopenic purpura (ITP) is an immune-mediated acquired condition affecting both adults and children.1 Acute ITP is the most common form, which happens in the presence of a precipitant, leading to a drop in platelet counts. However, chronic ITP can occur when all the causes that might precipitate thrombocytopenia have been ruled out, and it is persistent for ≥ 12 months.2 Its presence can mask other diseases that exhibit somewhat similar signs and symptoms. We present a case of a patient presenting with chronic ITP with diffuse rash and was later diagnosed with idiopathic leukocytoclastic vasculitis (LCV).
Case Presentation
A 79-year-old presented to the hospital with 2-day history of a rash. The rash was purpureal and petechial and located on the trunk and bilateral upper and lower extremities. The rash was associated with itchiness and pain in the wrists, ankles, and small joints of the hands. The patient reported no changes in medication or diet,
The patient mentioned that at the time of diagnosis the platelet count was about 90,000 but had been fluctuating between 50 and 60,000 recently. The patient also reported no history of gum bleeding, nosebleeds, hemoptysis, hematemesis, or any miscarriages. She also had difficulty voiding for 2 to 3 days but no dysuria, frequency, urgency, or incontinence.
Laboratory results were significant for 57,000/µL platelet count (normal range, 150,000-450,000), elevated d-dimer (6.07), < 6 mg/dL C4 (normal range, 88-201). Hemoglobin level, coagulation panel, hemolytic panel, and fibrinogen level results were unremarkable. The hepatitis panel, Lyme disease, and HIV test were negative. The peripheral blood smear showed moderate thrombocytopenia, mild monocytosis, and borderline normochromic normocytic anemia without schistocytes. The autoimmune panel to evaluate thrombocytopenia showed platelet antibody against glycoprotein (GP) IIb/IIIa, GP Ib/Ix, GP Ia/IIa, suggestive toward a diagnosis of chronic idiopathic ITP. However, the skin biopsy of the rash was indicative of LCV.
An autoimmune panel for vasculitis, including antinuclear antibody and antidouble-stranded DNA, was negative. While in the hospital, the patient completed the course of ciprofloxacin for the UTI, the rash started to fade without any intervention, and the platelet count improved to 69,000/µL. The patient was discharged after 3 days with the recommendation to follow up with her hematologist.
Discussion
LCV is a small vessel vasculitis of the dermal capillaries and venules. Histologically, LCV is characterized by fibrinoid necrosis of the vessel wall with frequent neutrophils, nuclear dust, and extravasated erythrocytes.3
Although a thorough evaluation is recommended to determine etiology, about 50% of cases are idiopathic. The most common precipitants are acute infection or a new medication. Postinfectious LCV is most commonly seen after streptococcal upper respiratory tract infection. Among other infectious triggers, Mycobacterium, Staphylococcus aureus, chlamydia, Neisseria, HIV, hepatitis B, hepatitis C, and syphilis are noteworthy. Foods, autoimmune disease, collagen vascular disease, and malignancy are also associated with LCV.4
In our patient we could not find any specific identifiable triggers. However, the presence of a UTI as a precipitating factor cannot be ruled out.5 Moreover, the patient received ciprofloxacin and there have been several case reports of LCV associated with use of a fluroquinolone.6 Nevertheless, in the presence of chronic ITP, which also is an auto-immune condition, an idiopathic cause seemed a reasonable explanation for the patient’s etiopathogenesis.
The cutaneous manifestations of LCV may appear about 1 to 3 weeks after the triggering event if present. The major clinical findings include palpable purpura and/or petechiae that are nonblanching. These findings can easily be confused with other diagnoses especially in the presence of a similar preexisting diagnosis. For example, our patient already had chronic ITP, and in such circumstances, a diagnosis of superimposed LCV can be easily missed without a thorough investigation. Extracutaneous manifestations with LCV are less common. Systemic symptoms may include low-grade fevers, malaise, weight loss, myalgia, and arthralgia. These findings have been noted in about 30% of affected patients, with arthralgia the most common manifestation.7 Our patient also presented with pain involving multiple joints.
The mainstay of diagnosis for LCV is a skin biopsy with direct immunofluorescence. However, a workup for an underlying condition should be considered based on clinical suspicion. If a secondary cause is found, management should target treating the underlying cause, including withdrawal of the offending drug, treatment or control of the underlying infection, malignancy, or connective tissue disease. Most cases of idiopathic cutaneous LCV resolve with supportive measures, including leg elevation, rest, compression stockings, and antihistamines. In resistant cases, a 4- to 6-week tapering dose of corticosteroids and immunosuppressive steroid-sparing agents may be needed.8
Conclusions
Although most cases of LCV are mild and resolve without intervention, many cases go undiagnosed due to a delay in performing a biopsy. However, we should always look for the root cause of a patient’s condition to rule out underlying contributing conditions. Differentiating LCV from any other preexisting condition presenting similarly is important.
Idiopathic thrombocytopenic purpura (ITP) is an immune-mediated acquired condition affecting both adults and children.1 Acute ITP is the most common form, which happens in the presence of a precipitant, leading to a drop in platelet counts. However, chronic ITP can occur when all the causes that might precipitate thrombocytopenia have been ruled out, and it is persistent for ≥ 12 months.2 Its presence can mask other diseases that exhibit somewhat similar signs and symptoms. We present a case of a patient presenting with chronic ITP with diffuse rash and was later diagnosed with idiopathic leukocytoclastic vasculitis (LCV).
Case Presentation
A 79-year-old presented to the hospital with 2-day history of a rash. The rash was purpureal and petechial and located on the trunk and bilateral upper and lower extremities. The rash was associated with itchiness and pain in the wrists, ankles, and small joints of the hands. The patient reported no changes in medication or diet,
The patient mentioned that at the time of diagnosis the platelet count was about 90,000 but had been fluctuating between 50 and 60,000 recently. The patient also reported no history of gum bleeding, nosebleeds, hemoptysis, hematemesis, or any miscarriages. She also had difficulty voiding for 2 to 3 days but no dysuria, frequency, urgency, or incontinence.
Laboratory results were significant for 57,000/µL platelet count (normal range, 150,000-450,000), elevated d-dimer (6.07), < 6 mg/dL C4 (normal range, 88-201). Hemoglobin level, coagulation panel, hemolytic panel, and fibrinogen level results were unremarkable. The hepatitis panel, Lyme disease, and HIV test were negative. The peripheral blood smear showed moderate thrombocytopenia, mild monocytosis, and borderline normochromic normocytic anemia without schistocytes. The autoimmune panel to evaluate thrombocytopenia showed platelet antibody against glycoprotein (GP) IIb/IIIa, GP Ib/Ix, GP Ia/IIa, suggestive toward a diagnosis of chronic idiopathic ITP. However, the skin biopsy of the rash was indicative of LCV.
An autoimmune panel for vasculitis, including antinuclear antibody and antidouble-stranded DNA, was negative. While in the hospital, the patient completed the course of ciprofloxacin for the UTI, the rash started to fade without any intervention, and the platelet count improved to 69,000/µL. The patient was discharged after 3 days with the recommendation to follow up with her hematologist.
Discussion
LCV is a small vessel vasculitis of the dermal capillaries and venules. Histologically, LCV is characterized by fibrinoid necrosis of the vessel wall with frequent neutrophils, nuclear dust, and extravasated erythrocytes.3
Although a thorough evaluation is recommended to determine etiology, about 50% of cases are idiopathic. The most common precipitants are acute infection or a new medication. Postinfectious LCV is most commonly seen after streptococcal upper respiratory tract infection. Among other infectious triggers, Mycobacterium, Staphylococcus aureus, chlamydia, Neisseria, HIV, hepatitis B, hepatitis C, and syphilis are noteworthy. Foods, autoimmune disease, collagen vascular disease, and malignancy are also associated with LCV.4
In our patient we could not find any specific identifiable triggers. However, the presence of a UTI as a precipitating factor cannot be ruled out.5 Moreover, the patient received ciprofloxacin and there have been several case reports of LCV associated with use of a fluroquinolone.6 Nevertheless, in the presence of chronic ITP, which also is an auto-immune condition, an idiopathic cause seemed a reasonable explanation for the patient’s etiopathogenesis.
The cutaneous manifestations of LCV may appear about 1 to 3 weeks after the triggering event if present. The major clinical findings include palpable purpura and/or petechiae that are nonblanching. These findings can easily be confused with other diagnoses especially in the presence of a similar preexisting diagnosis. For example, our patient already had chronic ITP, and in such circumstances, a diagnosis of superimposed LCV can be easily missed without a thorough investigation. Extracutaneous manifestations with LCV are less common. Systemic symptoms may include low-grade fevers, malaise, weight loss, myalgia, and arthralgia. These findings have been noted in about 30% of affected patients, with arthralgia the most common manifestation.7 Our patient also presented with pain involving multiple joints.
The mainstay of diagnosis for LCV is a skin biopsy with direct immunofluorescence. However, a workup for an underlying condition should be considered based on clinical suspicion. If a secondary cause is found, management should target treating the underlying cause, including withdrawal of the offending drug, treatment or control of the underlying infection, malignancy, or connective tissue disease. Most cases of idiopathic cutaneous LCV resolve with supportive measures, including leg elevation, rest, compression stockings, and antihistamines. In resistant cases, a 4- to 6-week tapering dose of corticosteroids and immunosuppressive steroid-sparing agents may be needed.8
Conclusions
Although most cases of LCV are mild and resolve without intervention, many cases go undiagnosed due to a delay in performing a biopsy. However, we should always look for the root cause of a patient’s condition to rule out underlying contributing conditions. Differentiating LCV from any other preexisting condition presenting similarly is important.
1. Gaurav K, Keith RM. Immune thrombocytopenia. Hematol Oncol Clin North Am. 2013;27(3): 495-520. doi:10.1016/j.hoc.2013.03.001
2. Rodeghiero F, Stasi R, Gernsheimer T, et al. Standardization of terminology, definitions and outcome criteria in immune thrombocytopenic purpura of adults and children: report from an international working group. Blood. 2009;113(11):2386-2393.
3. James WD, Berger TG, Elston DM. Andrews’ Diseases of the Skin: Clinical Dermatology. 11th ed. Saunders/Elsevier; 2011.
4. Einhorn J, Levis JT. Dermatologic diagnosis: leukocytoclastic vasculitis. Perm J. 2015;19(3):77-78. doi:10.7812/TPP/15-001
5. The role of infectious agents in the pathogenesis of vasculitis. Nicolò P, Carlo S. Best Pract Res Clin Rheumatol. 2008;22(5):897-911. doi:10.7812/TPP/15-001
6. Maunz G, Conzett T, Zimmerli W. Cutaneous vasculitis associated with fluoroquinolones. Infection. 2009;37(5):466-468. doi:10.1007/s15010-009-8437-4
7. Baigrie D, Goyal A, Crane J.C. Leukocytoclastic vasculitis. StatPearls [internet]. Updated May 8, 2022. Accessed October 10, 2022. https://www.ncbi.nlm.nih.gov/books/NBK482159
8. Micheletti RG, Pagnoux C. Management of cutaneous vasculitis. Presse Med. 2020; 49(3):104033. doi:10.1016/j.lpm.2020.104033
1. Gaurav K, Keith RM. Immune thrombocytopenia. Hematol Oncol Clin North Am. 2013;27(3): 495-520. doi:10.1016/j.hoc.2013.03.001
2. Rodeghiero F, Stasi R, Gernsheimer T, et al. Standardization of terminology, definitions and outcome criteria in immune thrombocytopenic purpura of adults and children: report from an international working group. Blood. 2009;113(11):2386-2393.
3. James WD, Berger TG, Elston DM. Andrews’ Diseases of the Skin: Clinical Dermatology. 11th ed. Saunders/Elsevier; 2011.
4. Einhorn J, Levis JT. Dermatologic diagnosis: leukocytoclastic vasculitis. Perm J. 2015;19(3):77-78. doi:10.7812/TPP/15-001
5. The role of infectious agents in the pathogenesis of vasculitis. Nicolò P, Carlo S. Best Pract Res Clin Rheumatol. 2008;22(5):897-911. doi:10.7812/TPP/15-001
6. Maunz G, Conzett T, Zimmerli W. Cutaneous vasculitis associated with fluoroquinolones. Infection. 2009;37(5):466-468. doi:10.1007/s15010-009-8437-4
7. Baigrie D, Goyal A, Crane J.C. Leukocytoclastic vasculitis. StatPearls [internet]. Updated May 8, 2022. Accessed October 10, 2022. https://www.ncbi.nlm.nih.gov/books/NBK482159
8. Micheletti RG, Pagnoux C. Management of cutaneous vasculitis. Presse Med. 2020; 49(3):104033. doi:10.1016/j.lpm.2020.104033
Medicaid Expansion and Veterans’ Reliance on the VA for Depression Care
The US Department of Veterans Affairs (VA) is the largest integrated health care system in the United States, providing care for more than 9 million veterans.1 With veterans experiencing mental health conditions like posttraumatic stress disorder (PTSD), substance use disorders, and other serious mental illnesses (SMI) at higher rates compared with the general population, the VA plays an important role in the provision of mental health services.2-5 Since the implementation of its Mental Health Strategic Plan in 2004, the VA has overseen the development of a wide array of mental health programs geared toward the complex needs of veterans. Research has demonstrated VA care outperforming Medicaid-reimbursed services in terms of the percentage of veterans filling antidepressants for at least 12 weeks after initiation of treatment for major depressive disorder (MDD), as well as posthospitalization follow-up.6
Eligible veterans enrolled in the VA often also seek non-VA care. Medicaid covers nearly 10% of all nonelderly veterans, and of these veterans, 39% rely solely on Medicaid for health care access.7 Today, Medicaid is the largest payer for mental health services in the US, providing coverage for approximately 27% of Americans who have SMI and helping fulfill unmet mental health needs.8,9 Understanding which of these systems veterans choose to use, and under which circumstances, is essential in guiding the allocation of limited health care resources.10
Beyond Medicaid, alternatives to VA care may include TRICARE, Medicare, Indian Health Services, and employer-based or self-purchased private insurance. While these options potentially increase convenience, choice, and access to health care practitioners (HCPs) and services not available at local VA systems, cross-system utilization with poor integration may cause care coordination and continuity problems, such as medication mismanagement and opioid overdose, unnecessary duplicate utilization, and possible increased mortality.11-15 As recent national legislative changes, such as the Patient Protection and Affordable Care Act (ACA), Veterans Access, Choice and Accountability Act, and the VA MISSION Act, continue to shift the health care landscape for veterans, questions surrounding how veterans are changing their health care use become significant.16,17
Here, we approach the impacts of Medicaid expansion on veterans’ reliance on the VA for mental health services with a unique lens. We leverage a difference-in-difference design to study 2 historical Medicaid expansions in Arizona (AZ) and New York (NY), which extended eligibility to childless adults in 2001. Prior Medicaid dual-eligible mental health research investigated reliance shifts during the immediate postenrollment year in a subset of veterans newly enrolled in Medicaid.18 However, this study took place in a period of relative policy stability. In contrast, we investigate the potential effects of a broad policy shift by analyzing state-level changes in veterans’ reliance over 6 years after a statewide Medicaid expansion. We match expansion states with demographically similar nonexpansion states to account for unobserved trends and confounding effects. Prior studies have used this method to evaluate post-Medicaid expansion mortality changes and changes in veteran dual enrollment and hospitalizations.10,19 While a study of ACA Medicaid expansion states would be ideal, Medicaid data from most states were only available through 2014 at the time of this analysis. Our study offers a quasi-experimental framework leveraging longitudinal data that can be applied as more post-ACA data become available.
Given the rising incidence of suicide among veterans, understanding care-seeking behaviors for depression among veterans is important as it is the most common psychiatric condition found in those who died by suicide.20,21 Furthermore, depression may be useful as a clinical proxy for mental health policy impacts, given that the Patient Health Questionnaire-9 (PHQ-9) screening tool is well validated and increasingly research accessible, and it is a chronic condition responsive to both well-managed pharmacologic treatment and psychotherapeutic interventions.22,23
In this study, we quantify the change in care-seeking behavior for depression among veterans after Medicaid expansion, using a quasi-experimental design. We hypothesize that new access to Medicaid would be associated with a shift away from using VA services for depression. Given the income-dependent eligibility requirements of Medicaid, we also hypothesize that veterans who qualified for VA coverage due to low income, determined by a regional means test (Priority group 5, “income-eligible”), would be more likely to shift care compared with those whose serviced-connected conditions related to their military service (Priority groups 1-4, “service-connected”) provide VA access.
Methods
To investigate the relative changes in veterans’ reliance on the VA for depression care after the 2001 NY and AZ Medicaid expansions We used a retrospective, difference-in-difference analysis. Our comparison pairings, based on prior demographic analyses were as follows: NY with Pennsylvania(PA); AZ with New Mexico and Nevada (NM/NV).19 The time frame of our analysis was 1999 to 2006, with pre- and postexpansion periods defined as 1999 to 2000 and 2001 to 2006, respectively.
Data
We included veterans aged 18 to 64 years, seeking care for depression from 1999 to 2006, who were also VA-enrolled and residing in our states of interest. We counted veterans as enrolled in Medicaid if they were enrolled at least 1 month in a given year.
Using similar methods like those used in prior studies, we selected patients with encounters documenting depression as the primary outpatient or inpatient diagnosis using International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes: 296.2x for a single episode of major depressive disorder, 296.3x for a recurrent episode of MDD, 300.4 for dysthymia, and 311.0 for depression not otherwise specified.18,24 We used data from the Medicaid Analytic eXtract files (MAX) for Medicaid data and the VA Corporate Data Warehouse (CDW) for VA data. We chose 1999 as the first study year because it was the earliest year MAX data were available.
Our final sample included 1833 person-years pre-expansion and 7157 postexpansion in our inpatient analysis, as well as 31,767 person-years pre-expansion and 130,382 postexpansion in our outpatient analysis.
Outcomes and Variables
Our primary outcomes were comparative shifts in VA reliance between expansion and nonexpansion states after Medicaid expansion for both inpatient and outpatient depression care. For each year of study, we calculated a veteran’s VA reliance by aggregating the number of days with depression-related encounters at the VA and dividing by the total number of days with a VA or Medicaid depression-related encounters for the year. To provide context to these shifts in VA reliance, we further analyzed the changes in the proportion of annual VA-Medicaid dual users and annual per capita utilization of depression care across the VA and Medicaid.
We conducted subanalyses by income-eligible and service-connected veterans and adjusted our models for age, non-White race, sex, distances to the nearest inpatient and outpatient VA facilities, and VA Relative Risk Score, which is a measure of disease burden and clinical complexity validated specifically for veterans.25
Statistical Analysis
We used fractional logistic regression to model the adjusted effect of Medicaid expansion on VA reliance for depression care. In parallel, we leveraged ordered logit regression and negative binomial regression models to examine the proportion of VA-Medicaid dual users and the per capita utilization of Medicaid and VA depression care, respectively. To estimate the difference-in-difference effects, we used the interaction term of 2 categorical variables—expansion vs nonexpansion states and pre- vs postexpansion status—as the independent variable. We then calculated the average marginal effects with 95% CIs to estimate the differences in outcomes between expansion and nonexpansion states from pre- to postexpansion periods, as well as year-by-year shifts as a robustness check. We conducted these analyses using Stata MP, version 15.
Results
Baseline and postexpansion characteristics 
VA Reliance
Overall, we observed postexpansion decreases in VA reliance for depression care 
At the state level, reliance on the VA for inpatient depression care in NY decreased by 13.53 pp (95% CI, -22.58 to -4.49) for income-eligible veterans and 16.67 pp (95% CI, -24.53 to -8.80) for service-connected veterans. No relative differences were observed in the outpatient comparisons for both income-eligible (-0.58 pp; 95% CI, -2.13 to 0.98) and service-connected (0.05 pp; 95% CI, -1.00 to 1.10) veterans. In AZ, Medicaid expansion was associated with decreased VA reliance for outpatient depression care among income-eligible veterans (-8.60 pp; 95% CI, -10.60 to -6.61), greater than that for service-connected veterans (-2.89 pp; 95% CI, -4.02 to -1.77). This decrease in VA reliance was significant in the inpatient context only for service-connected veterans (-4.55 pp; 95% CI, -8.14 to -0.97), not income-eligible veterans (-8.38 pp; 95% CI, -17.91 to 1.16).
By applying the aggregate pp changes toward the postexpansion number of visits across both expansion and nonexpansion states, we found that expansion of Medicaid across all our study states would have resulted in 996 fewer hospitalizations and 10,109 fewer outpatient visits for depression at VA in the postexpansion period vs if no states had chosen to expand Medicaid.
Dual Use/Per Capita Utilization
Overall, Medicaid expansion was associated with greater dual use for inpatient depression care—a 0.97-pp (95% CI, 0.46 to 1.48) increase among service-connected veterans and a 0.64-pp (95% CI, 0.35 to 0.94) increase among income-eligible veterans.
At the state level, NY similarly showed increases in dual use among both service-connected (1.48 pp; 95% CI, 0.80 to 2.16) and income-eligible veterans (0.73 pp; 95% CI, 0.39 to 1.07) after Medicaid expansion. However, dual use in AZ increased significantly only among service-connected veterans (0.70 pp; 95% CI, 0.03 to 1.38), not income-eligible veterans (0.31 pp; 95% CI, -0.17 to 0.78).
Among outpatient visits, Medicaid expansion was associated with increased dual use only for income-eligible veterans (0.16 pp; 95% CI, 0.03-0.29), and not service-connected veterans (0.09 pp; 95% CI, -0.04 to 0.21). State-level analyses showed that Medicaid expansion in NY was not associated with changes in dual use for either service-connected (0.01 pp; 95% CI, -0.16 to 0.17) or income-eligible veterans (0.03 pp; 95% CI, -0.12 to 0.18), while expansion in AZ was associated with increases in dual use among both service-connected (0.42 pp; 95% CI, 0.23 to 0.61) and income-eligible veterans (0.83 pp; 95% CI, 0.59 to 1.07).
Concerning per capita utilization of depression care after Medicaid expansion, analyses showed no detectable changes for either inpatient or outpatient services, among both service-connected and income-eligible veterans. However, while this pattern held at the state level among hospitalizations, outpatient visit results showed divergent trends between AZ and NY. In NY, Medicaid expansion was associated with decreased per capita utilization of outpatient depression care among both service-connected (-0.25 visits annually; 95% CI, -0.48 to -0.01) and income-eligible veterans (-0.64 visits annually; 95% CI, -0.93 to -0.35). In AZ, Medicaid expansion was associated with increased per capita utilization of outpatient depression care among both service-connected (0.62 visits annually; 95% CI, 0.32-0.91) and income-eligible veterans (2.32 visits annually; 95% CI, 1.99-2.65).
Discussion
Our study quantified changes in depression-related health care utilization after Medicaid expansions in NY and AZ in 2001. Overall, the balance of evidence indicated that Medicaid expansion was associated with decreased reliance on the VA for depression-related services. There was an exception: income-eligible veterans in AZ did not shift their hospital care away from the VA in a statistically discernible way, although the point estimate was lower. More broadly, these findings concerning veterans’ reliance varied not only in inpatient vs outpatient services and income- vs service-connected eligibility, but also in the state-level contexts of veteran dual users and per capita utilization.
Given that the overall per capita utilization of depression care was unchanged from pre- to postexpansion periods, one might interpret the decreases in VA reliance and increases in Medicaid-VA dual users as a substitution effect from VA care to non-VA care. This could be plausible for hospitalizations where state-level analyses showed similarly stable levels of per capita utilization. However, state-level trends in our outpatient utilization analysis, especially with a substantial 2.32 pp increase in annual per capita visits among income-eligible veterans in AZ, leave open the possibility that in some cases veterans may be complementing VA care with Medicaid-reimbursed services.
The causes underlying these differences in reliance shifts between NY and AZ are likely also influenced by the policy contexts of their respective Medicaid expansions. For example, in 1999, NY passed Kendra’s Law, which established a procedure for obtaining court orders for assisted outpatient mental health treatment for individuals deemed unlikely to survive safely in the community.26 A reasonable inference is that there was less unfulfilled outpatient mental health need in NY under the existing accessibility provisioned by Kendra’s Law. In addition, while both states extended coverage to childless adults under 100% of the Federal Poverty level (FPL), the AZ Medicaid expansion was via a voters’ initiative and extended family coverage to 200% FPL vs 150% FPL for families in NY. Given that the AZ Medicaid expansion enjoyed both broader public participation and generosity in terms of eligibility, its uptake and therefore effect size may have been larger than in NY for nonacute outpatient care.
Our findings contribute to the growing body of literature surrounding the changes in health care utilization after Medicaid expansion, specifically for a newly dual-eligible population of veterans seeking mental health services for depression. While prior research concerning Medicare dual-enrolled veterans has shown high reliance on the VA for both mental health diagnoses and services, scholars have established the association of Medicaid enrollment with decreased VA reliance.27-29 Our analysis is the first to investigate state-level effects of Medicaid expansion on VA reliance for a single mental health condition using a natural experimental framework. We focus on a population that includes a large portion of veterans who are newly Medicaid-eligible due to a sweeping policy change and use demographically matched nonexpansion states to draw comparisons in VA reliance for depression care. Our findings of Medicaid expansion–associated decreases in VA reliance for depression care complement prior literature that describe Medicaid enrollment–associated decreases in VA reliance for overall mental health care.
Implications
From a systems-level perspective, the implications of shifting services away from the VA are complex and incompletely understood. The VA lacks interoperability with the electronic health records (EHRs) used by Medicaid clinicians. Consequently, significant issues of service duplication and incomplete clinical data exist for veterans seeking treatment outside of the VA system, posing health care quality and safety concerns.30 On one hand, Medicaid access is associated with increased health care utilization attributed to filling unmet needs for Medicare dual enrollees, as well as increased prescription filling for psychiatric medications.31,32 Furthermore, the only randomized control trial of Medicaid expansion to date was associated with a 9-pp decrease in positive screening rates for depression among those who received access at around 2 years postexpansion.33 On the other hand, the VA has developed a mental health system tailored to the particular needs of veterans, and health care practitioners at the VA have significantly greater rates of military cultural competency compared to those in nonmilitary settings (70% vs 24% in the TRICARE network and 8% among those with no military or TRICARE affiliation).34 Compared to individuals seeking mental health services with private insurance plans, veterans were about twice as likely to receive appropriate treatment for schizophrenia and depression at the VA.35 These documented strengths of VA mental health care may together help explain the small absolute number of visits that were associated with shifts away from VA overall after Medicaid expansion.
Finally, it is worth considering extrinsic factors that influence utilization among newly dual-eligible veterans. For example, hospitalizations are less likely to be planned than outpatient services, translating to a greater importance of proximity to a nearby medical facility than a veteran’s preference of where to seek care. In the same vein, major VA medical centers are fewer and more distant on average than VA outpatient clinics, therefore reducing the advantage of a Medicaid-reimbursed outpatient clinic in terms of distance.36 These realities may partially explain the proportionally larger shifts away from the VA for hospitalizations compared to outpatient care for depression.
Limitations and Future Directions
Our results should be interpreted within methodological and data limitations. With only 2 states in our sample, NY demonstrably skewed overall results, contributing 1.7 to 3 times more observations than AZ across subanalyses—a challenge also cited by Sommers and colleagues.19 Our veteran groupings were also unable to distinguish those veterans classified as service-connected who may also have qualified by income-eligible criteria (which would tend to understate the size of results) and those veterans who gained and then lost Medicaid coverage in a given year. Our study also faces limitations in generalizability and establishing causality. First, we included only 2 historical state Medicaid expansions, compared with the 38 states and Washington, DC, that have now expanded Medicaid to date under the ACA. Just in the 2 states from our study, we noted significant heterogeneity in the shifts associated with Medicaid expansion, which makes extrapolating specific trends difficult. Differences in underlying health care resources, legislation, and other external factors may limit the applicability of Medicaid expansion in the era of the ACA, as well as the Veterans Choice and MISSION acts. Second, while we leveraged a difference-in-difference analysis using demographically matched, neighboring comparison states, our findings are nevertheless drawn from observational data obviating causality. VA data for other sources of coverage such as private insurance are limited and not included in our study, and MAX datasets vary by quality across states, translating to potential gaps in our study cohort.28
Moving forward, our study demonstrates the potential for applying a natural experimental approach to studying dual-eligible veterans at the interface of Medicaid expansion. We focused on changes in VA reliance for the specific condition of depression and, in doing so, invite further inquiry into the impact of state mental health policy on outcomes more proximate to veterans’ outcomes. Clinical indicators, such as rates of antidepressant filling, utilization and duration of psychotherapy, and PHQ-9 scores, can similarly be investigated by natural experimental design. While current limits of administrative data and the siloing of EHRs may pose barriers to some of these avenues of research, multidisciplinary methodologies and data querying innovations such as natural language processing algorithms for clinical notes hold exciting opportunities to bridge the gap between policy and clinical efficacy.
Conclusions
This study applied a difference-in-difference analysis and found that Medicaid expansion is associated with decreases in VA reliance for both inpatient and outpatient services for depression. As additional data are generated from the Medicaid expansions of the ACA, similarly robust methods should be applied to further explore the impacts associated with such policy shifts and open the door to a better understanding of implications at the clinical level.
Acknowledgments
We acknowledge the efforts of Janine Wong, who proofread and formatted the manuscript.
1. US Department of Veterans Affairs, Veterans Health Administration. About VA. 2019. Updated September 27, 2022. Accessed September 29, 2022. https://www.va.gov/health/
2. Richardson LK, Frueh BC, Acierno R. Prevalence estimates of combat-related post-traumatic stress disorder: critical review. Aust N Z J Psychiatry. 2010;44(1):4-19. doi:10.3109/00048670903393597
3. Lan CW, Fiellin DA, Barry DT, et al. The epidemiology of substance use disorders in US veterans: a systematic review and analysis of assessment methods. Am J Addict. 2016;25(1):7-24. doi:10.1111/ajad.12319
4. Grant BF, Saha TD, June Ruan W, et al. Epidemiology of DSM-5 drug use disorder results from the national epidemiologic survey on alcohol and related conditions-III. JAMA Psychiat. 2016;73(1):39-47. doi:10.1001/jamapsychiatry.015.2132
5. Pemberton MR, Forman-Hoffman VL, Lipari RN, Ashley OS, Heller DC, Williams MR. Prevalence of past year substance use and mental illness by veteran status in a nationally representative sample. CBHSQ Data Review. Published November 9, 2016. Accessed October 6, 2022. https://www.samhsa.gov/data/report/prevalence-past-year-substance-use-and-mental-illness-veteran-status-nationally
6. Watkins KE, Pincus HA, Smith B, et al. Veterans Health Administration Mental Health Program Evaluation: Capstone Report. 2011. Accessed September 29, 2022. https://www.rand.org/pubs/technical_reports/TR956.html
7. Henry J. Kaiser Family Foundation. Medicaid’s role in covering veterans. June 29, 2017. Accessed September 29, 2022. https://www.kff.org/infographic/medicaids-role-in-covering-veterans
8. Substance Abuse and Mental Health Services Administration. Results from the 2016 National Survey on Drug Use and Health: detailed tables. September 7, 2017. Accessed September 29, 2022. https://www.samhsa.gov/data/sites/default/files/NSDUH-DetTabs-2016/NSDUH-DetTabs-2016.pdf
9. Wen H, Druss BG, Cummings JR. Effect of Medicaid expansions on health insurance coverage and access to care among low-income adults with behavioral health conditions. Health Serv Res. 2015;50:1787-1809. doi:10.1111/1475-6773.12411
10. O’Mahen PN, Petersen LA. Effects of state-level Medicaid expansion on Veterans Health Administration dual enrollment and utilization: potential implications for future coverage expansions. Med Care. 2020;58(6):526-533. doi:10.1097/MLR.0000000000001327
11. Ono SS, Dziak KM, Wittrock SM, et al. Treating dual-use patients across two health care systems: a qualitative study. Fed Pract. 2015;32(8):32-37.
12. Weeks WB, Mahar PJ, Wright SM. Utilization of VA and Medicare services by Medicare-eligible veterans: the impact of additional access points in a rural setting. J Healthc Manag. 2005;50(2):95-106.
13. Gellad WF, Thorpe JM, Zhao X, et al. Impact of dual use of Department of Veterans Affairs and Medicare part d drug benefits on potentially unsafe opioid use. Am J Public Health. 2018;108(2):248-255. doi:10.2105/AJPH.2017.304174
14. Coughlin SS, Young L. A review of dual health care system use by veterans with cardiometabolic disease. J Hosp Manag Health Policy. 2018;2:39. doi:10.21037/jhmhp.2018.07.05
15. Radomski TR, Zhao X, Thorpe CT, et al. The impact of medication-based risk adjustment on the association between veteran health outcomes and dual health system use. J Gen Intern Med. 2017;32(9):967-973. doi:10.1007/s11606-017-4064-4
16. Kullgren JT, Fagerlin A, Kerr EA. Completing the MISSION: a blueprint for helping veterans make the most of new choices. J Gen Intern Med. 2020;35(5):1567-1570. doi:10.1007/s11606-019-05404-w
17. VA MISSION Act of 2018, 38 USC §101 (2018). https://www.govinfo.gov/app/details/USCODE-2018-title38/USCODE-2018-title38-partI-chap1-sec101
18. Vanneman ME, Phibbs CS, Dally SK, Trivedi AN, Yoon J. The impact of Medicaid enrollment on Veterans Health Administration enrollees’ behavioral health services use. Health Serv Res. 2018;53(suppl 3):5238-5259. doi:10.1111/1475-6773.13062
19. Sommers BD, Baicker K, Epstein AM. Mortality and access to care among adults after state Medicaid expansions. N Engl J Med. 2012;367(11):1025-1034. doi:10.1056/NEJMsa1202099
20. US Department of Veterans Affairs Office of Mental Health. 2019 national veteran suicide prevention annual report. 2019. Accessed September 29, 2022. https://www.mentalhealth.va.gov/docs/data-sheets/2019/2019_National_Veteran_Suicide_Prevention_Annual_Report_508.pdf
21. Hawton K, Casañas I Comabella C, Haw C, Saunders K. Risk factors for suicide in individuals with depression: a systematic review. J Affect Disord. 2013;147(1-3):17-28. doi:10.1016/j.jad.2013.01.004
22. Adekkanattu P, Sholle ET, DeFerio J, Pathak J, Johnson SB, Campion TR Jr. Ascertaining depression severity by extracting Patient Health Questionnaire-9 (PHQ-9) scores from clinical notes. AMIA Annu Symp Proc. 2018;2018:147-156.
23. DeRubeis RJ, Siegle GJ, Hollon SD. Cognitive therapy versus medication for depression: treatment outcomes and neural mechanisms. Nat Rev Neurosci. 2008;9(10):788-796. doi:10.1038/nrn2345
24. Cully JA, Zimmer M, Khan MM, Petersen LA. Quality of depression care and its impact on health service use and mortality among veterans. Psychiatr Serv. 2008;59(12):1399-1405. doi:10.1176/ps.2008.59.12.1399
25. Byrne MM, Kuebeler M, Pietz K, Petersen LA. Effect of using information from only one system for dually eligible health care users. Med Care. 2006;44(8):768-773. doi:10.1097/01.mlr.0000218786.44722.14
26. Watkins KE, Smith B, Akincigil A, et al. The quality of medication treatment for mental disorders in the Department of Veterans Affairs and in private-sector plans. Psychiatr Serv. 2016;67(4):391-396. doi:10.1176/appi.ps.201400537
27. Petersen LA, Byrne MM, Daw CN, Hasche J, Reis B, Pietz K. Relationship between clinical conditions and use of Veterans Affairs health care among Medicare-enrolled veterans. Health Serv Res. 2010;45(3):762-791. doi:10.1111/j.1475-6773.2010.01107.x
28. Yoon J, Vanneman ME, Dally SK, Trivedi AN, Phibbs Ciaran S. Use of Veterans Affairs and Medicaid services for dually enrolled veterans. Health Serv Res. 2018;53(3):1539-1561. doi:10.1111/1475-6773.12727
29. Yoon J, Vanneman ME, Dally SK, Trivedi AN, Phibbs Ciaran S. Veterans’ reliance on VA care by type of service and distance to VA for nonelderly VA-Medicaid dual enrollees. Med Care. 2019;57(3):225-229. doi:10.1097/MLR.0000000000001066
30. Gaglioti A, Cozad A, Wittrock S, et al. Non-VA primary care providers’ perspectives on comanagement for rural veterans. Mil Med. 2014;179(11):1236-1243. doi:10.7205/MILMED-D-13-00342
31. Moon S, Shin J. Health care utilization among Medicare-Medicaid dual eligibles: a count data analysis. BMC Public Health. 2006;6(1):88. doi:10.1186/1471-2458-6-88
32. Henry J. Kaiser Family Foundation. Facilitating access to mental health services: a look at Medicaid, private insurance, and the uninsured. November 27, 2017. Accessed September 29, 2022. https://www.kff.org/medicaid/fact-sheet/facilitating-access-to-mental-health-services-a-look-at-medicaid-private-insurance-and-the-uninsured
33. Baicker K, Taubman SL, Allen HL, et al. The Oregon experiment - effects of Medicaid on clinical outcomes. N Engl J Med. 2013;368(18):1713-1722. doi:10.1056/NEJMsa1212321
34. Tanielian T, Farris C, Batka C, et al. Ready to serve: community-based provider capacity to deliver culturally competent, quality mental health care to veterans and their families. 2014. Accessed September 29, 2022. https://www.rand.org/content/dam/rand/pubs/research_reports/RR800/RR806/RAND_RR806.pdf
35. Kizer KW, Dudley RA. Extreme makeover: transformation of the Veterans Health Care System. Annu Rev Public Health. 2009;30(1):313-339. doi:10.1146/annurev.publhealth.29.020907.090940
36. Brennan KJ. Kendra’s Law: final report on the status of assisted outpatient treatment, appendix 2. 2002. Accessed September 29, 2022. https://omh.ny.gov/omhweb/kendra_web/finalreport/appendix2.htm
The US Department of Veterans Affairs (VA) is the largest integrated health care system in the United States, providing care for more than 9 million veterans.1 With veterans experiencing mental health conditions like posttraumatic stress disorder (PTSD), substance use disorders, and other serious mental illnesses (SMI) at higher rates compared with the general population, the VA plays an important role in the provision of mental health services.2-5 Since the implementation of its Mental Health Strategic Plan in 2004, the VA has overseen the development of a wide array of mental health programs geared toward the complex needs of veterans. Research has demonstrated VA care outperforming Medicaid-reimbursed services in terms of the percentage of veterans filling antidepressants for at least 12 weeks after initiation of treatment for major depressive disorder (MDD), as well as posthospitalization follow-up.6
Eligible veterans enrolled in the VA often also seek non-VA care. Medicaid covers nearly 10% of all nonelderly veterans, and of these veterans, 39% rely solely on Medicaid for health care access.7 Today, Medicaid is the largest payer for mental health services in the US, providing coverage for approximately 27% of Americans who have SMI and helping fulfill unmet mental health needs.8,9 Understanding which of these systems veterans choose to use, and under which circumstances, is essential in guiding the allocation of limited health care resources.10
Beyond Medicaid, alternatives to VA care may include TRICARE, Medicare, Indian Health Services, and employer-based or self-purchased private insurance. While these options potentially increase convenience, choice, and access to health care practitioners (HCPs) and services not available at local VA systems, cross-system utilization with poor integration may cause care coordination and continuity problems, such as medication mismanagement and opioid overdose, unnecessary duplicate utilization, and possible increased mortality.11-15 As recent national legislative changes, such as the Patient Protection and Affordable Care Act (ACA), Veterans Access, Choice and Accountability Act, and the VA MISSION Act, continue to shift the health care landscape for veterans, questions surrounding how veterans are changing their health care use become significant.16,17
Here, we approach the impacts of Medicaid expansion on veterans’ reliance on the VA for mental health services with a unique lens. We leverage a difference-in-difference design to study 2 historical Medicaid expansions in Arizona (AZ) and New York (NY), which extended eligibility to childless adults in 2001. Prior Medicaid dual-eligible mental health research investigated reliance shifts during the immediate postenrollment year in a subset of veterans newly enrolled in Medicaid.18 However, this study took place in a period of relative policy stability. In contrast, we investigate the potential effects of a broad policy shift by analyzing state-level changes in veterans’ reliance over 6 years after a statewide Medicaid expansion. We match expansion states with demographically similar nonexpansion states to account for unobserved trends and confounding effects. Prior studies have used this method to evaluate post-Medicaid expansion mortality changes and changes in veteran dual enrollment and hospitalizations.10,19 While a study of ACA Medicaid expansion states would be ideal, Medicaid data from most states were only available through 2014 at the time of this analysis. Our study offers a quasi-experimental framework leveraging longitudinal data that can be applied as more post-ACA data become available.
Given the rising incidence of suicide among veterans, understanding care-seeking behaviors for depression among veterans is important as it is the most common psychiatric condition found in those who died by suicide.20,21 Furthermore, depression may be useful as a clinical proxy for mental health policy impacts, given that the Patient Health Questionnaire-9 (PHQ-9) screening tool is well validated and increasingly research accessible, and it is a chronic condition responsive to both well-managed pharmacologic treatment and psychotherapeutic interventions.22,23
In this study, we quantify the change in care-seeking behavior for depression among veterans after Medicaid expansion, using a quasi-experimental design. We hypothesize that new access to Medicaid would be associated with a shift away from using VA services for depression. Given the income-dependent eligibility requirements of Medicaid, we also hypothesize that veterans who qualified for VA coverage due to low income, determined by a regional means test (Priority group 5, “income-eligible”), would be more likely to shift care compared with those whose serviced-connected conditions related to their military service (Priority groups 1-4, “service-connected”) provide VA access.
Methods
To investigate the relative changes in veterans’ reliance on the VA for depression care after the 2001 NY and AZ Medicaid expansions We used a retrospective, difference-in-difference analysis. Our comparison pairings, based on prior demographic analyses were as follows: NY with Pennsylvania(PA); AZ with New Mexico and Nevada (NM/NV).19 The time frame of our analysis was 1999 to 2006, with pre- and postexpansion periods defined as 1999 to 2000 and 2001 to 2006, respectively.
Data
We included veterans aged 18 to 64 years, seeking care for depression from 1999 to 2006, who were also VA-enrolled and residing in our states of interest. We counted veterans as enrolled in Medicaid if they were enrolled at least 1 month in a given year.
Using similar methods like those used in prior studies, we selected patients with encounters documenting depression as the primary outpatient or inpatient diagnosis using International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes: 296.2x for a single episode of major depressive disorder, 296.3x for a recurrent episode of MDD, 300.4 for dysthymia, and 311.0 for depression not otherwise specified.18,24 We used data from the Medicaid Analytic eXtract files (MAX) for Medicaid data and the VA Corporate Data Warehouse (CDW) for VA data. We chose 1999 as the first study year because it was the earliest year MAX data were available.
Our final sample included 1833 person-years pre-expansion and 7157 postexpansion in our inpatient analysis, as well as 31,767 person-years pre-expansion and 130,382 postexpansion in our outpatient analysis.
Outcomes and Variables
Our primary outcomes were comparative shifts in VA reliance between expansion and nonexpansion states after Medicaid expansion for both inpatient and outpatient depression care. For each year of study, we calculated a veteran’s VA reliance by aggregating the number of days with depression-related encounters at the VA and dividing by the total number of days with a VA or Medicaid depression-related encounters for the year. To provide context to these shifts in VA reliance, we further analyzed the changes in the proportion of annual VA-Medicaid dual users and annual per capita utilization of depression care across the VA and Medicaid.
We conducted subanalyses by income-eligible and service-connected veterans and adjusted our models for age, non-White race, sex, distances to the nearest inpatient and outpatient VA facilities, and VA Relative Risk Score, which is a measure of disease burden and clinical complexity validated specifically for veterans.25
Statistical Analysis
We used fractional logistic regression to model the adjusted effect of Medicaid expansion on VA reliance for depression care. In parallel, we leveraged ordered logit regression and negative binomial regression models to examine the proportion of VA-Medicaid dual users and the per capita utilization of Medicaid and VA depression care, respectively. To estimate the difference-in-difference effects, we used the interaction term of 2 categorical variables—expansion vs nonexpansion states and pre- vs postexpansion status—as the independent variable. We then calculated the average marginal effects with 95% CIs to estimate the differences in outcomes between expansion and nonexpansion states from pre- to postexpansion periods, as well as year-by-year shifts as a robustness check. We conducted these analyses using Stata MP, version 15.
Results
Baseline and postexpansion characteristics
VA Reliance
Overall, we observed postexpansion decreases in VA reliance for depression care
At the state level, reliance on the VA for inpatient depression care in NY decreased by 13.53 pp (95% CI, -22.58 to -4.49) for income-eligible veterans and 16.67 pp (95% CI, -24.53 to -8.80) for service-connected veterans. No relative differences were observed in the outpatient comparisons for both income-eligible (-0.58 pp; 95% CI, -2.13 to 0.98) and service-connected (0.05 pp; 95% CI, -1.00 to 1.10) veterans. In AZ, Medicaid expansion was associated with decreased VA reliance for outpatient depression care among income-eligible veterans (-8.60 pp; 95% CI, -10.60 to -6.61), greater than that for service-connected veterans (-2.89 pp; 95% CI, -4.02 to -1.77). This decrease in VA reliance was significant in the inpatient context only for service-connected veterans (-4.55 pp; 95% CI, -8.14 to -0.97), not income-eligible veterans (-8.38 pp; 95% CI, -17.91 to 1.16).
By applying the aggregate pp changes toward the postexpansion number of visits across both expansion and nonexpansion states, we found that expansion of Medicaid across all our study states would have resulted in 996 fewer hospitalizations and 10,109 fewer outpatient visits for depression at VA in the postexpansion period vs if no states had chosen to expand Medicaid.
Dual Use/Per Capita Utilization
Overall, Medicaid expansion was associated with greater dual use for inpatient depression care—a 0.97-pp (95% CI, 0.46 to 1.48) increase among service-connected veterans and a 0.64-pp (95% CI, 0.35 to 0.94) increase among income-eligible veterans.
At the state level, NY similarly showed increases in dual use among both service-connected (1.48 pp; 95% CI, 0.80 to 2.16) and income-eligible veterans (0.73 pp; 95% CI, 0.39 to 1.07) after Medicaid expansion. However, dual use in AZ increased significantly only among service-connected veterans (0.70 pp; 95% CI, 0.03 to 1.38), not income-eligible veterans (0.31 pp; 95% CI, -0.17 to 0.78).
Among outpatient visits, Medicaid expansion was associated with increased dual use only for income-eligible veterans (0.16 pp; 95% CI, 0.03-0.29), and not service-connected veterans (0.09 pp; 95% CI, -0.04 to 0.21). State-level analyses showed that Medicaid expansion in NY was not associated with changes in dual use for either service-connected (0.01 pp; 95% CI, -0.16 to 0.17) or income-eligible veterans (0.03 pp; 95% CI, -0.12 to 0.18), while expansion in AZ was associated with increases in dual use among both service-connected (0.42 pp; 95% CI, 0.23 to 0.61) and income-eligible veterans (0.83 pp; 95% CI, 0.59 to 1.07).
Concerning per capita utilization of depression care after Medicaid expansion, analyses showed no detectable changes for either inpatient or outpatient services, among both service-connected and income-eligible veterans. However, while this pattern held at the state level among hospitalizations, outpatient visit results showed divergent trends between AZ and NY. In NY, Medicaid expansion was associated with decreased per capita utilization of outpatient depression care among both service-connected (-0.25 visits annually; 95% CI, -0.48 to -0.01) and income-eligible veterans (-0.64 visits annually; 95% CI, -0.93 to -0.35). In AZ, Medicaid expansion was associated with increased per capita utilization of outpatient depression care among both service-connected (0.62 visits annually; 95% CI, 0.32-0.91) and income-eligible veterans (2.32 visits annually; 95% CI, 1.99-2.65).
Discussion
Our study quantified changes in depression-related health care utilization after Medicaid expansions in NY and AZ in 2001. Overall, the balance of evidence indicated that Medicaid expansion was associated with decreased reliance on the VA for depression-related services. There was an exception: income-eligible veterans in AZ did not shift their hospital care away from the VA in a statistically discernible way, although the point estimate was lower. More broadly, these findings concerning veterans’ reliance varied not only in inpatient vs outpatient services and income- vs service-connected eligibility, but also in the state-level contexts of veteran dual users and per capita utilization.
Given that the overall per capita utilization of depression care was unchanged from pre- to postexpansion periods, one might interpret the decreases in VA reliance and increases in Medicaid-VA dual users as a substitution effect from VA care to non-VA care. This could be plausible for hospitalizations where state-level analyses showed similarly stable levels of per capita utilization. However, state-level trends in our outpatient utilization analysis, especially with a substantial 2.32 pp increase in annual per capita visits among income-eligible veterans in AZ, leave open the possibility that in some cases veterans may be complementing VA care with Medicaid-reimbursed services.
The causes underlying these differences in reliance shifts between NY and AZ are likely also influenced by the policy contexts of their respective Medicaid expansions. For example, in 1999, NY passed Kendra’s Law, which established a procedure for obtaining court orders for assisted outpatient mental health treatment for individuals deemed unlikely to survive safely in the community.26 A reasonable inference is that there was less unfulfilled outpatient mental health need in NY under the existing accessibility provisioned by Kendra’s Law. In addition, while both states extended coverage to childless adults under 100% of the Federal Poverty level (FPL), the AZ Medicaid expansion was via a voters’ initiative and extended family coverage to 200% FPL vs 150% FPL for families in NY. Given that the AZ Medicaid expansion enjoyed both broader public participation and generosity in terms of eligibility, its uptake and therefore effect size may have been larger than in NY for nonacute outpatient care.
Our findings contribute to the growing body of literature surrounding the changes in health care utilization after Medicaid expansion, specifically for a newly dual-eligible population of veterans seeking mental health services for depression. While prior research concerning Medicare dual-enrolled veterans has shown high reliance on the VA for both mental health diagnoses and services, scholars have established the association of Medicaid enrollment with decreased VA reliance.27-29 Our analysis is the first to investigate state-level effects of Medicaid expansion on VA reliance for a single mental health condition using a natural experimental framework. We focus on a population that includes a large portion of veterans who are newly Medicaid-eligible due to a sweeping policy change and use demographically matched nonexpansion states to draw comparisons in VA reliance for depression care. Our findings of Medicaid expansion–associated decreases in VA reliance for depression care complement prior literature that describe Medicaid enrollment–associated decreases in VA reliance for overall mental health care.
Implications
From a systems-level perspective, the implications of shifting services away from the VA are complex and incompletely understood. The VA lacks interoperability with the electronic health records (EHRs) used by Medicaid clinicians. Consequently, significant issues of service duplication and incomplete clinical data exist for veterans seeking treatment outside of the VA system, posing health care quality and safety concerns.30 On one hand, Medicaid access is associated with increased health care utilization attributed to filling unmet needs for Medicare dual enrollees, as well as increased prescription filling for psychiatric medications.31,32 Furthermore, the only randomized control trial of Medicaid expansion to date was associated with a 9-pp decrease in positive screening rates for depression among those who received access at around 2 years postexpansion.33 On the other hand, the VA has developed a mental health system tailored to the particular needs of veterans, and health care practitioners at the VA have significantly greater rates of military cultural competency compared to those in nonmilitary settings (70% vs 24% in the TRICARE network and 8% among those with no military or TRICARE affiliation).34 Compared to individuals seeking mental health services with private insurance plans, veterans were about twice as likely to receive appropriate treatment for schizophrenia and depression at the VA.35 These documented strengths of VA mental health care may together help explain the small absolute number of visits that were associated with shifts away from VA overall after Medicaid expansion.
Finally, it is worth considering extrinsic factors that influence utilization among newly dual-eligible veterans. For example, hospitalizations are less likely to be planned than outpatient services, translating to a greater importance of proximity to a nearby medical facility than a veteran’s preference of where to seek care. In the same vein, major VA medical centers are fewer and more distant on average than VA outpatient clinics, therefore reducing the advantage of a Medicaid-reimbursed outpatient clinic in terms of distance.36 These realities may partially explain the proportionally larger shifts away from the VA for hospitalizations compared to outpatient care for depression.
Limitations and Future Directions
Our results should be interpreted within methodological and data limitations. With only 2 states in our sample, NY demonstrably skewed overall results, contributing 1.7 to 3 times more observations than AZ across subanalyses—a challenge also cited by Sommers and colleagues.19 Our veteran groupings were also unable to distinguish those veterans classified as service-connected who may also have qualified by income-eligible criteria (which would tend to understate the size of results) and those veterans who gained and then lost Medicaid coverage in a given year. Our study also faces limitations in generalizability and establishing causality. First, we included only 2 historical state Medicaid expansions, compared with the 38 states and Washington, DC, that have now expanded Medicaid to date under the ACA. Just in the 2 states from our study, we noted significant heterogeneity in the shifts associated with Medicaid expansion, which makes extrapolating specific trends difficult. Differences in underlying health care resources, legislation, and other external factors may limit the applicability of Medicaid expansion in the era of the ACA, as well as the Veterans Choice and MISSION acts. Second, while we leveraged a difference-in-difference analysis using demographically matched, neighboring comparison states, our findings are nevertheless drawn from observational data obviating causality. VA data for other sources of coverage such as private insurance are limited and not included in our study, and MAX datasets vary by quality across states, translating to potential gaps in our study cohort.28
Moving forward, our study demonstrates the potential for applying a natural experimental approach to studying dual-eligible veterans at the interface of Medicaid expansion. We focused on changes in VA reliance for the specific condition of depression and, in doing so, invite further inquiry into the impact of state mental health policy on outcomes more proximate to veterans’ outcomes. Clinical indicators, such as rates of antidepressant filling, utilization and duration of psychotherapy, and PHQ-9 scores, can similarly be investigated by natural experimental design. While current limits of administrative data and the siloing of EHRs may pose barriers to some of these avenues of research, multidisciplinary methodologies and data querying innovations such as natural language processing algorithms for clinical notes hold exciting opportunities to bridge the gap between policy and clinical efficacy.
Conclusions
This study applied a difference-in-difference analysis and found that Medicaid expansion is associated with decreases in VA reliance for both inpatient and outpatient services for depression. As additional data are generated from the Medicaid expansions of the ACA, similarly robust methods should be applied to further explore the impacts associated with such policy shifts and open the door to a better understanding of implications at the clinical level.
Acknowledgments
We acknowledge the efforts of Janine Wong, who proofread and formatted the manuscript.
The US Department of Veterans Affairs (VA) is the largest integrated health care system in the United States, providing care for more than 9 million veterans.1 With veterans experiencing mental health conditions like posttraumatic stress disorder (PTSD), substance use disorders, and other serious mental illnesses (SMI) at higher rates compared with the general population, the VA plays an important role in the provision of mental health services.2-5 Since the implementation of its Mental Health Strategic Plan in 2004, the VA has overseen the development of a wide array of mental health programs geared toward the complex needs of veterans. Research has demonstrated VA care outperforming Medicaid-reimbursed services in terms of the percentage of veterans filling antidepressants for at least 12 weeks after initiation of treatment for major depressive disorder (MDD), as well as posthospitalization follow-up.6
Eligible veterans enrolled in the VA often also seek non-VA care. Medicaid covers nearly 10% of all nonelderly veterans, and of these veterans, 39% rely solely on Medicaid for health care access.7 Today, Medicaid is the largest payer for mental health services in the US, providing coverage for approximately 27% of Americans who have SMI and helping fulfill unmet mental health needs.8,9 Understanding which of these systems veterans choose to use, and under which circumstances, is essential in guiding the allocation of limited health care resources.10
Beyond Medicaid, alternatives to VA care may include TRICARE, Medicare, Indian Health Services, and employer-based or self-purchased private insurance. While these options potentially increase convenience, choice, and access to health care practitioners (HCPs) and services not available at local VA systems, cross-system utilization with poor integration may cause care coordination and continuity problems, such as medication mismanagement and opioid overdose, unnecessary duplicate utilization, and possible increased mortality.11-15 As recent national legislative changes, such as the Patient Protection and Affordable Care Act (ACA), Veterans Access, Choice and Accountability Act, and the VA MISSION Act, continue to shift the health care landscape for veterans, questions surrounding how veterans are changing their health care use become significant.16,17
Here, we approach the impacts of Medicaid expansion on veterans’ reliance on the VA for mental health services with a unique lens. We leverage a difference-in-difference design to study 2 historical Medicaid expansions in Arizona (AZ) and New York (NY), which extended eligibility to childless adults in 2001. Prior Medicaid dual-eligible mental health research investigated reliance shifts during the immediate postenrollment year in a subset of veterans newly enrolled in Medicaid.18 However, this study took place in a period of relative policy stability. In contrast, we investigate the potential effects of a broad policy shift by analyzing state-level changes in veterans’ reliance over 6 years after a statewide Medicaid expansion. We match expansion states with demographically similar nonexpansion states to account for unobserved trends and confounding effects. Prior studies have used this method to evaluate post-Medicaid expansion mortality changes and changes in veteran dual enrollment and hospitalizations.10,19 While a study of ACA Medicaid expansion states would be ideal, Medicaid data from most states were only available through 2014 at the time of this analysis. Our study offers a quasi-experimental framework leveraging longitudinal data that can be applied as more post-ACA data become available.
Given the rising incidence of suicide among veterans, understanding care-seeking behaviors for depression among veterans is important as it is the most common psychiatric condition found in those who died by suicide.20,21 Furthermore, depression may be useful as a clinical proxy for mental health policy impacts, given that the Patient Health Questionnaire-9 (PHQ-9) screening tool is well validated and increasingly research accessible, and it is a chronic condition responsive to both well-managed pharmacologic treatment and psychotherapeutic interventions.22,23
In this study, we quantify the change in care-seeking behavior for depression among veterans after Medicaid expansion, using a quasi-experimental design. We hypothesize that new access to Medicaid would be associated with a shift away from using VA services for depression. Given the income-dependent eligibility requirements of Medicaid, we also hypothesize that veterans who qualified for VA coverage due to low income, determined by a regional means test (Priority group 5, “income-eligible”), would be more likely to shift care compared with those whose serviced-connected conditions related to their military service (Priority groups 1-4, “service-connected”) provide VA access.
Methods
To investigate the relative changes in veterans’ reliance on the VA for depression care after the 2001 NY and AZ Medicaid expansions We used a retrospective, difference-in-difference analysis. Our comparison pairings, based on prior demographic analyses were as follows: NY with Pennsylvania(PA); AZ with New Mexico and Nevada (NM/NV).19 The time frame of our analysis was 1999 to 2006, with pre- and postexpansion periods defined as 1999 to 2000 and 2001 to 2006, respectively.
Data
We included veterans aged 18 to 64 years, seeking care for depression from 1999 to 2006, who were also VA-enrolled and residing in our states of interest. We counted veterans as enrolled in Medicaid if they were enrolled at least 1 month in a given year.
Using similar methods like those used in prior studies, we selected patients with encounters documenting depression as the primary outpatient or inpatient diagnosis using International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes: 296.2x for a single episode of major depressive disorder, 296.3x for a recurrent episode of MDD, 300.4 for dysthymia, and 311.0 for depression not otherwise specified.18,24 We used data from the Medicaid Analytic eXtract files (MAX) for Medicaid data and the VA Corporate Data Warehouse (CDW) for VA data. We chose 1999 as the first study year because it was the earliest year MAX data were available.
Our final sample included 1833 person-years pre-expansion and 7157 postexpansion in our inpatient analysis, as well as 31,767 person-years pre-expansion and 130,382 postexpansion in our outpatient analysis.
Outcomes and Variables
Our primary outcomes were comparative shifts in VA reliance between expansion and nonexpansion states after Medicaid expansion for both inpatient and outpatient depression care. For each year of study, we calculated a veteran’s VA reliance by aggregating the number of days with depression-related encounters at the VA and dividing by the total number of days with a VA or Medicaid depression-related encounters for the year. To provide context to these shifts in VA reliance, we further analyzed the changes in the proportion of annual VA-Medicaid dual users and annual per capita utilization of depression care across the VA and Medicaid.
We conducted subanalyses by income-eligible and service-connected veterans and adjusted our models for age, non-White race, sex, distances to the nearest inpatient and outpatient VA facilities, and VA Relative Risk Score, which is a measure of disease burden and clinical complexity validated specifically for veterans.25
Statistical Analysis
We used fractional logistic regression to model the adjusted effect of Medicaid expansion on VA reliance for depression care. In parallel, we leveraged ordered logit regression and negative binomial regression models to examine the proportion of VA-Medicaid dual users and the per capita utilization of Medicaid and VA depression care, respectively. To estimate the difference-in-difference effects, we used the interaction term of 2 categorical variables—expansion vs nonexpansion states and pre- vs postexpansion status—as the independent variable. We then calculated the average marginal effects with 95% CIs to estimate the differences in outcomes between expansion and nonexpansion states from pre- to postexpansion periods, as well as year-by-year shifts as a robustness check. We conducted these analyses using Stata MP, version 15.
Results
Baseline and postexpansion characteristics
VA Reliance
Overall, we observed postexpansion decreases in VA reliance for depression care
At the state level, reliance on the VA for inpatient depression care in NY decreased by 13.53 pp (95% CI, -22.58 to -4.49) for income-eligible veterans and 16.67 pp (95% CI, -24.53 to -8.80) for service-connected veterans. No relative differences were observed in the outpatient comparisons for both income-eligible (-0.58 pp; 95% CI, -2.13 to 0.98) and service-connected (0.05 pp; 95% CI, -1.00 to 1.10) veterans. In AZ, Medicaid expansion was associated with decreased VA reliance for outpatient depression care among income-eligible veterans (-8.60 pp; 95% CI, -10.60 to -6.61), greater than that for service-connected veterans (-2.89 pp; 95% CI, -4.02 to -1.77). This decrease in VA reliance was significant in the inpatient context only for service-connected veterans (-4.55 pp; 95% CI, -8.14 to -0.97), not income-eligible veterans (-8.38 pp; 95% CI, -17.91 to 1.16).
By applying the aggregate pp changes toward the postexpansion number of visits across both expansion and nonexpansion states, we found that expansion of Medicaid across all our study states would have resulted in 996 fewer hospitalizations and 10,109 fewer outpatient visits for depression at VA in the postexpansion period vs if no states had chosen to expand Medicaid.
Dual Use/Per Capita Utilization
Overall, Medicaid expansion was associated with greater dual use for inpatient depression care—a 0.97-pp (95% CI, 0.46 to 1.48) increase among service-connected veterans and a 0.64-pp (95% CI, 0.35 to 0.94) increase among income-eligible veterans.
At the state level, NY similarly showed increases in dual use among both service-connected (1.48 pp; 95% CI, 0.80 to 2.16) and income-eligible veterans (0.73 pp; 95% CI, 0.39 to 1.07) after Medicaid expansion. However, dual use in AZ increased significantly only among service-connected veterans (0.70 pp; 95% CI, 0.03 to 1.38), not income-eligible veterans (0.31 pp; 95% CI, -0.17 to 0.78).
Among outpatient visits, Medicaid expansion was associated with increased dual use only for income-eligible veterans (0.16 pp; 95% CI, 0.03-0.29), and not service-connected veterans (0.09 pp; 95% CI, -0.04 to 0.21). State-level analyses showed that Medicaid expansion in NY was not associated with changes in dual use for either service-connected (0.01 pp; 95% CI, -0.16 to 0.17) or income-eligible veterans (0.03 pp; 95% CI, -0.12 to 0.18), while expansion in AZ was associated with increases in dual use among both service-connected (0.42 pp; 95% CI, 0.23 to 0.61) and income-eligible veterans (0.83 pp; 95% CI, 0.59 to 1.07).
Concerning per capita utilization of depression care after Medicaid expansion, analyses showed no detectable changes for either inpatient or outpatient services, among both service-connected and income-eligible veterans. However, while this pattern held at the state level among hospitalizations, outpatient visit results showed divergent trends between AZ and NY. In NY, Medicaid expansion was associated with decreased per capita utilization of outpatient depression care among both service-connected (-0.25 visits annually; 95% CI, -0.48 to -0.01) and income-eligible veterans (-0.64 visits annually; 95% CI, -0.93 to -0.35). In AZ, Medicaid expansion was associated with increased per capita utilization of outpatient depression care among both service-connected (0.62 visits annually; 95% CI, 0.32-0.91) and income-eligible veterans (2.32 visits annually; 95% CI, 1.99-2.65).
Discussion
Our study quantified changes in depression-related health care utilization after Medicaid expansions in NY and AZ in 2001. Overall, the balance of evidence indicated that Medicaid expansion was associated with decreased reliance on the VA for depression-related services. There was an exception: income-eligible veterans in AZ did not shift their hospital care away from the VA in a statistically discernible way, although the point estimate was lower. More broadly, these findings concerning veterans’ reliance varied not only in inpatient vs outpatient services and income- vs service-connected eligibility, but also in the state-level contexts of veteran dual users and per capita utilization.
Given that the overall per capita utilization of depression care was unchanged from pre- to postexpansion periods, one might interpret the decreases in VA reliance and increases in Medicaid-VA dual users as a substitution effect from VA care to non-VA care. This could be plausible for hospitalizations where state-level analyses showed similarly stable levels of per capita utilization. However, state-level trends in our outpatient utilization analysis, especially with a substantial 2.32 pp increase in annual per capita visits among income-eligible veterans in AZ, leave open the possibility that in some cases veterans may be complementing VA care with Medicaid-reimbursed services.
The causes underlying these differences in reliance shifts between NY and AZ are likely also influenced by the policy contexts of their respective Medicaid expansions. For example, in 1999, NY passed Kendra’s Law, which established a procedure for obtaining court orders for assisted outpatient mental health treatment for individuals deemed unlikely to survive safely in the community.26 A reasonable inference is that there was less unfulfilled outpatient mental health need in NY under the existing accessibility provisioned by Kendra’s Law. In addition, while both states extended coverage to childless adults under 100% of the Federal Poverty level (FPL), the AZ Medicaid expansion was via a voters’ initiative and extended family coverage to 200% FPL vs 150% FPL for families in NY. Given that the AZ Medicaid expansion enjoyed both broader public participation and generosity in terms of eligibility, its uptake and therefore effect size may have been larger than in NY for nonacute outpatient care.
Our findings contribute to the growing body of literature surrounding the changes in health care utilization after Medicaid expansion, specifically for a newly dual-eligible population of veterans seeking mental health services for depression. While prior research concerning Medicare dual-enrolled veterans has shown high reliance on the VA for both mental health diagnoses and services, scholars have established the association of Medicaid enrollment with decreased VA reliance.27-29 Our analysis is the first to investigate state-level effects of Medicaid expansion on VA reliance for a single mental health condition using a natural experimental framework. We focus on a population that includes a large portion of veterans who are newly Medicaid-eligible due to a sweeping policy change and use demographically matched nonexpansion states to draw comparisons in VA reliance for depression care. Our findings of Medicaid expansion–associated decreases in VA reliance for depression care complement prior literature that describe Medicaid enrollment–associated decreases in VA reliance for overall mental health care.
Implications
From a systems-level perspective, the implications of shifting services away from the VA are complex and incompletely understood. The VA lacks interoperability with the electronic health records (EHRs) used by Medicaid clinicians. Consequently, significant issues of service duplication and incomplete clinical data exist for veterans seeking treatment outside of the VA system, posing health care quality and safety concerns.30 On one hand, Medicaid access is associated with increased health care utilization attributed to filling unmet needs for Medicare dual enrollees, as well as increased prescription filling for psychiatric medications.31,32 Furthermore, the only randomized control trial of Medicaid expansion to date was associated with a 9-pp decrease in positive screening rates for depression among those who received access at around 2 years postexpansion.33 On the other hand, the VA has developed a mental health system tailored to the particular needs of veterans, and health care practitioners at the VA have significantly greater rates of military cultural competency compared to those in nonmilitary settings (70% vs 24% in the TRICARE network and 8% among those with no military or TRICARE affiliation).34 Compared to individuals seeking mental health services with private insurance plans, veterans were about twice as likely to receive appropriate treatment for schizophrenia and depression at the VA.35 These documented strengths of VA mental health care may together help explain the small absolute number of visits that were associated with shifts away from VA overall after Medicaid expansion.
Finally, it is worth considering extrinsic factors that influence utilization among newly dual-eligible veterans. For example, hospitalizations are less likely to be planned than outpatient services, translating to a greater importance of proximity to a nearby medical facility than a veteran’s preference of where to seek care. In the same vein, major VA medical centers are fewer and more distant on average than VA outpatient clinics, therefore reducing the advantage of a Medicaid-reimbursed outpatient clinic in terms of distance.36 These realities may partially explain the proportionally larger shifts away from the VA for hospitalizations compared to outpatient care for depression.
Limitations and Future Directions
Our results should be interpreted within methodological and data limitations. With only 2 states in our sample, NY demonstrably skewed overall results, contributing 1.7 to 3 times more observations than AZ across subanalyses—a challenge also cited by Sommers and colleagues.19 Our veteran groupings were also unable to distinguish those veterans classified as service-connected who may also have qualified by income-eligible criteria (which would tend to understate the size of results) and those veterans who gained and then lost Medicaid coverage in a given year. Our study also faces limitations in generalizability and establishing causality. First, we included only 2 historical state Medicaid expansions, compared with the 38 states and Washington, DC, that have now expanded Medicaid to date under the ACA. Just in the 2 states from our study, we noted significant heterogeneity in the shifts associated with Medicaid expansion, which makes extrapolating specific trends difficult. Differences in underlying health care resources, legislation, and other external factors may limit the applicability of Medicaid expansion in the era of the ACA, as well as the Veterans Choice and MISSION acts. Second, while we leveraged a difference-in-difference analysis using demographically matched, neighboring comparison states, our findings are nevertheless drawn from observational data obviating causality. VA data for other sources of coverage such as private insurance are limited and not included in our study, and MAX datasets vary by quality across states, translating to potential gaps in our study cohort.28
Moving forward, our study demonstrates the potential for applying a natural experimental approach to studying dual-eligible veterans at the interface of Medicaid expansion. We focused on changes in VA reliance for the specific condition of depression and, in doing so, invite further inquiry into the impact of state mental health policy on outcomes more proximate to veterans’ outcomes. Clinical indicators, such as rates of antidepressant filling, utilization and duration of psychotherapy, and PHQ-9 scores, can similarly be investigated by natural experimental design. While current limits of administrative data and the siloing of EHRs may pose barriers to some of these avenues of research, multidisciplinary methodologies and data querying innovations such as natural language processing algorithms for clinical notes hold exciting opportunities to bridge the gap between policy and clinical efficacy.
Conclusions
This study applied a difference-in-difference analysis and found that Medicaid expansion is associated with decreases in VA reliance for both inpatient and outpatient services for depression. As additional data are generated from the Medicaid expansions of the ACA, similarly robust methods should be applied to further explore the impacts associated with such policy shifts and open the door to a better understanding of implications at the clinical level.
Acknowledgments
We acknowledge the efforts of Janine Wong, who proofread and formatted the manuscript.
1. US Department of Veterans Affairs, Veterans Health Administration. About VA. 2019. Updated September 27, 2022. Accessed September 29, 2022. https://www.va.gov/health/
2. Richardson LK, Frueh BC, Acierno R. Prevalence estimates of combat-related post-traumatic stress disorder: critical review. Aust N Z J Psychiatry. 2010;44(1):4-19. doi:10.3109/00048670903393597
3. Lan CW, Fiellin DA, Barry DT, et al. The epidemiology of substance use disorders in US veterans: a systematic review and analysis of assessment methods. Am J Addict. 2016;25(1):7-24. doi:10.1111/ajad.12319
4. Grant BF, Saha TD, June Ruan W, et al. Epidemiology of DSM-5 drug use disorder results from the national epidemiologic survey on alcohol and related conditions-III. JAMA Psychiat. 2016;73(1):39-47. doi:10.1001/jamapsychiatry.015.2132
5. Pemberton MR, Forman-Hoffman VL, Lipari RN, Ashley OS, Heller DC, Williams MR. Prevalence of past year substance use and mental illness by veteran status in a nationally representative sample. CBHSQ Data Review. Published November 9, 2016. Accessed October 6, 2022. https://www.samhsa.gov/data/report/prevalence-past-year-substance-use-and-mental-illness-veteran-status-nationally
6. Watkins KE, Pincus HA, Smith B, et al. Veterans Health Administration Mental Health Program Evaluation: Capstone Report. 2011. Accessed September 29, 2022. https://www.rand.org/pubs/technical_reports/TR956.html
7. Henry J. Kaiser Family Foundation. Medicaid’s role in covering veterans. June 29, 2017. Accessed September 29, 2022. https://www.kff.org/infographic/medicaids-role-in-covering-veterans
8. Substance Abuse and Mental Health Services Administration. Results from the 2016 National Survey on Drug Use and Health: detailed tables. September 7, 2017. Accessed September 29, 2022. https://www.samhsa.gov/data/sites/default/files/NSDUH-DetTabs-2016/NSDUH-DetTabs-2016.pdf
9. Wen H, Druss BG, Cummings JR. Effect of Medicaid expansions on health insurance coverage and access to care among low-income adults with behavioral health conditions. Health Serv Res. 2015;50:1787-1809. doi:10.1111/1475-6773.12411
10. O’Mahen PN, Petersen LA. Effects of state-level Medicaid expansion on Veterans Health Administration dual enrollment and utilization: potential implications for future coverage expansions. Med Care. 2020;58(6):526-533. doi:10.1097/MLR.0000000000001327
11. Ono SS, Dziak KM, Wittrock SM, et al. Treating dual-use patients across two health care systems: a qualitative study. Fed Pract. 2015;32(8):32-37.
12. Weeks WB, Mahar PJ, Wright SM. Utilization of VA and Medicare services by Medicare-eligible veterans: the impact of additional access points in a rural setting. J Healthc Manag. 2005;50(2):95-106.
13. Gellad WF, Thorpe JM, Zhao X, et al. Impact of dual use of Department of Veterans Affairs and Medicare part d drug benefits on potentially unsafe opioid use. Am J Public Health. 2018;108(2):248-255. doi:10.2105/AJPH.2017.304174
14. Coughlin SS, Young L. A review of dual health care system use by veterans with cardiometabolic disease. J Hosp Manag Health Policy. 2018;2:39. doi:10.21037/jhmhp.2018.07.05
15. Radomski TR, Zhao X, Thorpe CT, et al. The impact of medication-based risk adjustment on the association between veteran health outcomes and dual health system use. J Gen Intern Med. 2017;32(9):967-973. doi:10.1007/s11606-017-4064-4
16. Kullgren JT, Fagerlin A, Kerr EA. Completing the MISSION: a blueprint for helping veterans make the most of new choices. J Gen Intern Med. 2020;35(5):1567-1570. doi:10.1007/s11606-019-05404-w
17. VA MISSION Act of 2018, 38 USC §101 (2018). https://www.govinfo.gov/app/details/USCODE-2018-title38/USCODE-2018-title38-partI-chap1-sec101
18. Vanneman ME, Phibbs CS, Dally SK, Trivedi AN, Yoon J. The impact of Medicaid enrollment on Veterans Health Administration enrollees’ behavioral health services use. Health Serv Res. 2018;53(suppl 3):5238-5259. doi:10.1111/1475-6773.13062
19. Sommers BD, Baicker K, Epstein AM. Mortality and access to care among adults after state Medicaid expansions. N Engl J Med. 2012;367(11):1025-1034. doi:10.1056/NEJMsa1202099
20. US Department of Veterans Affairs Office of Mental Health. 2019 national veteran suicide prevention annual report. 2019. Accessed September 29, 2022. https://www.mentalhealth.va.gov/docs/data-sheets/2019/2019_National_Veteran_Suicide_Prevention_Annual_Report_508.pdf
21. Hawton K, Casañas I Comabella C, Haw C, Saunders K. Risk factors for suicide in individuals with depression: a systematic review. J Affect Disord. 2013;147(1-3):17-28. doi:10.1016/j.jad.2013.01.004
22. Adekkanattu P, Sholle ET, DeFerio J, Pathak J, Johnson SB, Campion TR Jr. Ascertaining depression severity by extracting Patient Health Questionnaire-9 (PHQ-9) scores from clinical notes. AMIA Annu Symp Proc. 2018;2018:147-156.
23. DeRubeis RJ, Siegle GJ, Hollon SD. Cognitive therapy versus medication for depression: treatment outcomes and neural mechanisms. Nat Rev Neurosci. 2008;9(10):788-796. doi:10.1038/nrn2345
24. Cully JA, Zimmer M, Khan MM, Petersen LA. Quality of depression care and its impact on health service use and mortality among veterans. Psychiatr Serv. 2008;59(12):1399-1405. doi:10.1176/ps.2008.59.12.1399
25. Byrne MM, Kuebeler M, Pietz K, Petersen LA. Effect of using information from only one system for dually eligible health care users. Med Care. 2006;44(8):768-773. doi:10.1097/01.mlr.0000218786.44722.14
26. Watkins KE, Smith B, Akincigil A, et al. The quality of medication treatment for mental disorders in the Department of Veterans Affairs and in private-sector plans. Psychiatr Serv. 2016;67(4):391-396. doi:10.1176/appi.ps.201400537
27. Petersen LA, Byrne MM, Daw CN, Hasche J, Reis B, Pietz K. Relationship between clinical conditions and use of Veterans Affairs health care among Medicare-enrolled veterans. Health Serv Res. 2010;45(3):762-791. doi:10.1111/j.1475-6773.2010.01107.x
28. Yoon J, Vanneman ME, Dally SK, Trivedi AN, Phibbs Ciaran S. Use of Veterans Affairs and Medicaid services for dually enrolled veterans. Health Serv Res. 2018;53(3):1539-1561. doi:10.1111/1475-6773.12727
29. Yoon J, Vanneman ME, Dally SK, Trivedi AN, Phibbs Ciaran S. Veterans’ reliance on VA care by type of service and distance to VA for nonelderly VA-Medicaid dual enrollees. Med Care. 2019;57(3):225-229. doi:10.1097/MLR.0000000000001066
30. Gaglioti A, Cozad A, Wittrock S, et al. Non-VA primary care providers’ perspectives on comanagement for rural veterans. Mil Med. 2014;179(11):1236-1243. doi:10.7205/MILMED-D-13-00342
31. Moon S, Shin J. Health care utilization among Medicare-Medicaid dual eligibles: a count data analysis. BMC Public Health. 2006;6(1):88. doi:10.1186/1471-2458-6-88
32. Henry J. Kaiser Family Foundation. Facilitating access to mental health services: a look at Medicaid, private insurance, and the uninsured. November 27, 2017. Accessed September 29, 2022. https://www.kff.org/medicaid/fact-sheet/facilitating-access-to-mental-health-services-a-look-at-medicaid-private-insurance-and-the-uninsured
33. Baicker K, Taubman SL, Allen HL, et al. The Oregon experiment - effects of Medicaid on clinical outcomes. N Engl J Med. 2013;368(18):1713-1722. doi:10.1056/NEJMsa1212321
34. Tanielian T, Farris C, Batka C, et al. Ready to serve: community-based provider capacity to deliver culturally competent, quality mental health care to veterans and their families. 2014. Accessed September 29, 2022. https://www.rand.org/content/dam/rand/pubs/research_reports/RR800/RR806/RAND_RR806.pdf
35. Kizer KW, Dudley RA. Extreme makeover: transformation of the Veterans Health Care System. Annu Rev Public Health. 2009;30(1):313-339. doi:10.1146/annurev.publhealth.29.020907.090940
36. Brennan KJ. Kendra’s Law: final report on the status of assisted outpatient treatment, appendix 2. 2002. Accessed September 29, 2022. https://omh.ny.gov/omhweb/kendra_web/finalreport/appendix2.htm
1. US Department of Veterans Affairs, Veterans Health Administration. About VA. 2019. Updated September 27, 2022. Accessed September 29, 2022. https://www.va.gov/health/
2. Richardson LK, Frueh BC, Acierno R. Prevalence estimates of combat-related post-traumatic stress disorder: critical review. Aust N Z J Psychiatry. 2010;44(1):4-19. doi:10.3109/00048670903393597
3. Lan CW, Fiellin DA, Barry DT, et al. The epidemiology of substance use disorders in US veterans: a systematic review and analysis of assessment methods. Am J Addict. 2016;25(1):7-24. doi:10.1111/ajad.12319
4. Grant BF, Saha TD, June Ruan W, et al. Epidemiology of DSM-5 drug use disorder results from the national epidemiologic survey on alcohol and related conditions-III. JAMA Psychiat. 2016;73(1):39-47. doi:10.1001/jamapsychiatry.015.2132
5. Pemberton MR, Forman-Hoffman VL, Lipari RN, Ashley OS, Heller DC, Williams MR. Prevalence of past year substance use and mental illness by veteran status in a nationally representative sample. CBHSQ Data Review. Published November 9, 2016. Accessed October 6, 2022. https://www.samhsa.gov/data/report/prevalence-past-year-substance-use-and-mental-illness-veteran-status-nationally
6. Watkins KE, Pincus HA, Smith B, et al. Veterans Health Administration Mental Health Program Evaluation: Capstone Report. 2011. Accessed September 29, 2022. https://www.rand.org/pubs/technical_reports/TR956.html
7. Henry J. Kaiser Family Foundation. Medicaid’s role in covering veterans. June 29, 2017. Accessed September 29, 2022. https://www.kff.org/infographic/medicaids-role-in-covering-veterans
8. Substance Abuse and Mental Health Services Administration. Results from the 2016 National Survey on Drug Use and Health: detailed tables. September 7, 2017. Accessed September 29, 2022. https://www.samhsa.gov/data/sites/default/files/NSDUH-DetTabs-2016/NSDUH-DetTabs-2016.pdf
9. Wen H, Druss BG, Cummings JR. Effect of Medicaid expansions on health insurance coverage and access to care among low-income adults with behavioral health conditions. Health Serv Res. 2015;50:1787-1809. doi:10.1111/1475-6773.12411
10. O’Mahen PN, Petersen LA. Effects of state-level Medicaid expansion on Veterans Health Administration dual enrollment and utilization: potential implications for future coverage expansions. Med Care. 2020;58(6):526-533. doi:10.1097/MLR.0000000000001327
11. Ono SS, Dziak KM, Wittrock SM, et al. Treating dual-use patients across two health care systems: a qualitative study. Fed Pract. 2015;32(8):32-37.
12. Weeks WB, Mahar PJ, Wright SM. Utilization of VA and Medicare services by Medicare-eligible veterans: the impact of additional access points in a rural setting. J Healthc Manag. 2005;50(2):95-106.
13. Gellad WF, Thorpe JM, Zhao X, et al. Impact of dual use of Department of Veterans Affairs and Medicare part d drug benefits on potentially unsafe opioid use. Am J Public Health. 2018;108(2):248-255. doi:10.2105/AJPH.2017.304174
14. Coughlin SS, Young L. A review of dual health care system use by veterans with cardiometabolic disease. J Hosp Manag Health Policy. 2018;2:39. doi:10.21037/jhmhp.2018.07.05
15. Radomski TR, Zhao X, Thorpe CT, et al. The impact of medication-based risk adjustment on the association between veteran health outcomes and dual health system use. J Gen Intern Med. 2017;32(9):967-973. doi:10.1007/s11606-017-4064-4
16. Kullgren JT, Fagerlin A, Kerr EA. Completing the MISSION: a blueprint for helping veterans make the most of new choices. J Gen Intern Med. 2020;35(5):1567-1570. doi:10.1007/s11606-019-05404-w
17. VA MISSION Act of 2018, 38 USC §101 (2018). https://www.govinfo.gov/app/details/USCODE-2018-title38/USCODE-2018-title38-partI-chap1-sec101
18. Vanneman ME, Phibbs CS, Dally SK, Trivedi AN, Yoon J. The impact of Medicaid enrollment on Veterans Health Administration enrollees’ behavioral health services use. Health Serv Res. 2018;53(suppl 3):5238-5259. doi:10.1111/1475-6773.13062
19. Sommers BD, Baicker K, Epstein AM. Mortality and access to care among adults after state Medicaid expansions. N Engl J Med. 2012;367(11):1025-1034. doi:10.1056/NEJMsa1202099
20. US Department of Veterans Affairs Office of Mental Health. 2019 national veteran suicide prevention annual report. 2019. Accessed September 29, 2022. https://www.mentalhealth.va.gov/docs/data-sheets/2019/2019_National_Veteran_Suicide_Prevention_Annual_Report_508.pdf
21. Hawton K, Casañas I Comabella C, Haw C, Saunders K. Risk factors for suicide in individuals with depression: a systematic review. J Affect Disord. 2013;147(1-3):17-28. doi:10.1016/j.jad.2013.01.004
22. Adekkanattu P, Sholle ET, DeFerio J, Pathak J, Johnson SB, Campion TR Jr. Ascertaining depression severity by extracting Patient Health Questionnaire-9 (PHQ-9) scores from clinical notes. AMIA Annu Symp Proc. 2018;2018:147-156.
23. DeRubeis RJ, Siegle GJ, Hollon SD. Cognitive therapy versus medication for depression: treatment outcomes and neural mechanisms. Nat Rev Neurosci. 2008;9(10):788-796. doi:10.1038/nrn2345
24. Cully JA, Zimmer M, Khan MM, Petersen LA. Quality of depression care and its impact on health service use and mortality among veterans. Psychiatr Serv. 2008;59(12):1399-1405. doi:10.1176/ps.2008.59.12.1399
25. Byrne MM, Kuebeler M, Pietz K, Petersen LA. Effect of using information from only one system for dually eligible health care users. Med Care. 2006;44(8):768-773. doi:10.1097/01.mlr.0000218786.44722.14
26. Watkins KE, Smith B, Akincigil A, et al. The quality of medication treatment for mental disorders in the Department of Veterans Affairs and in private-sector plans. Psychiatr Serv. 2016;67(4):391-396. doi:10.1176/appi.ps.201400537
27. Petersen LA, Byrne MM, Daw CN, Hasche J, Reis B, Pietz K. Relationship between clinical conditions and use of Veterans Affairs health care among Medicare-enrolled veterans. Health Serv Res. 2010;45(3):762-791. doi:10.1111/j.1475-6773.2010.01107.x
28. Yoon J, Vanneman ME, Dally SK, Trivedi AN, Phibbs Ciaran S. Use of Veterans Affairs and Medicaid services for dually enrolled veterans. Health Serv Res. 2018;53(3):1539-1561. doi:10.1111/1475-6773.12727
29. Yoon J, Vanneman ME, Dally SK, Trivedi AN, Phibbs Ciaran S. Veterans’ reliance on VA care by type of service and distance to VA for nonelderly VA-Medicaid dual enrollees. Med Care. 2019;57(3):225-229. doi:10.1097/MLR.0000000000001066
30. Gaglioti A, Cozad A, Wittrock S, et al. Non-VA primary care providers’ perspectives on comanagement for rural veterans. Mil Med. 2014;179(11):1236-1243. doi:10.7205/MILMED-D-13-00342
31. Moon S, Shin J. Health care utilization among Medicare-Medicaid dual eligibles: a count data analysis. BMC Public Health. 2006;6(1):88. doi:10.1186/1471-2458-6-88
32. Henry J. Kaiser Family Foundation. Facilitating access to mental health services: a look at Medicaid, private insurance, and the uninsured. November 27, 2017. Accessed September 29, 2022. https://www.kff.org/medicaid/fact-sheet/facilitating-access-to-mental-health-services-a-look-at-medicaid-private-insurance-and-the-uninsured
33. Baicker K, Taubman SL, Allen HL, et al. The Oregon experiment - effects of Medicaid on clinical outcomes. N Engl J Med. 2013;368(18):1713-1722. doi:10.1056/NEJMsa1212321
34. Tanielian T, Farris C, Batka C, et al. Ready to serve: community-based provider capacity to deliver culturally competent, quality mental health care to veterans and their families. 2014. Accessed September 29, 2022. https://www.rand.org/content/dam/rand/pubs/research_reports/RR800/RR806/RAND_RR806.pdf
35. Kizer KW, Dudley RA. Extreme makeover: transformation of the Veterans Health Care System. Annu Rev Public Health. 2009;30(1):313-339. doi:10.1146/annurev.publhealth.29.020907.090940
36. Brennan KJ. Kendra’s Law: final report on the status of assisted outpatient treatment, appendix 2. 2002. Accessed September 29, 2022. https://omh.ny.gov/omhweb/kendra_web/finalreport/appendix2.htm
Traffic-related pollutant tied to increased dementia risk
Exposure to a traffic-related air pollutant significantly increases risk for dementia, new research suggests. Results from a meta-analysis, which included a total of more than 90 million people, showed
Particulate matter is a mixture of solid particles and liquid droplets from the burning of fossil fuels and nitrogen oxide, and also produced from road traffic exhaust.
While the research only showed an association between this type of air pollution and dementia risk, the estimates were consistent across the different analyses used.
“It’s rather sobering that there is this 3% relationship between incidence of dementia and the particulate matter and that it is such a precise estimate,” senior investigator Janet Martin, PharmD, MSc, associate professor of anesthesia & perioperative medicine and epidemiology & biostatistics at Western University’s, London, Ont., told this news organization.
The findings were published online in Neurology.
Conflicting results in past studies
Air pollution is a known risk factor for dementia, but studies attempting to pinpoint its exact impact have yielded conflicting results.
Researchers analyzed data from 17 studies with a total of 91.4 million individuals, 6% of whom had dementia. In addition to PM2.5, the investigators also assessed nitrogen oxides, which form smog, nitrogen dioxide, and ozone exposure.
After adjustments for other known risk factors, such as age and gender, results showed that dementia risk increased by 3% for every 1 m3 rise in PM2.5 exposure (adjusted hazard ratio, 1.03; 95% confidence interval, 1.02-1.05).
The associations between dementia and exposure to nitrogen oxides (HR, 1.05; 95% CI, 0.99-1.13), nitrogen dioxide (HR, 1.03; 95% CI, 1.00-1.07) and ozone (HR, 1.01; 95% CI, 0.91-1.11) did not reach statistical significance. However, the confidence intervals were wide enough that clinical relevance cannot be ruled out, Dr. Martin said.
The study did not examine how or if the duration of PM2.5 exposure affected dementia risk. In addition, the investigators were not able to identify a threshold above which dementia risk begins to rise.
The Environmental Pollution Agency considers average yearly exposures up to 12 mcg/m3 to be safe. The World Health Organization sets that limit lower, at 5 mcg/m3.
Dr. Martin noted that more studies are needed to explore those issues, as well as the mechanisms by which air pollutants contribute to the pathology of dementia. However, the clear link between fine particulate matter exposure and increased risk emphasizes the need to address air pollution as a modifiable risk factor for dementia.
“The rising tide of dementia is not something we can easily reverse,” Dr. Martin said. “The evidence has been so elusive for how to treat dementia once you have it, so our biggest opportunity is to prevent it.”
Results from a study published earlier in 2022 estimated that rates of dementia will triple worldwide and double in the United States by 2050 unless steps are taking to mitigate risk factors.
Research also suggests that improving air quality PM2.5 by just 10% results in a 14% decreased risk for dementia.
‘Impressive’ pattern
Paul Rosenberg, MD, codirector of the Memory and Alzheimer’s Treatment Center division of geriatric psychiatry at Johns Hopkins University, Baltimore, said that air pollution “is the most prominent environmental risk we’ve found” for dementia. It also “adds to many other lifestyle and comorbidity risks, such as lack of exercise, obesity, depression, hearing loss, etc,” said Dr. Rosenberg, who was not involved with the research.
He noted what was “most impressive” was that in most of the pooled studies, small particulate air pollution was associated with dementia. “The overall pattern is most impressive and the effect sizes quite consistent over most of the studies,” Dr. Rosenberg said.
The meta-analysis was unfunded. Dr. Martin and Dr. Rosenberg reported no relevant financial relationships.
A version of this article first appeared on Medscape.com.
Exposure to a traffic-related air pollutant significantly increases risk for dementia, new research suggests. Results from a meta-analysis, which included a total of more than 90 million people, showed
Particulate matter is a mixture of solid particles and liquid droplets from the burning of fossil fuels and nitrogen oxide, and also produced from road traffic exhaust.
While the research only showed an association between this type of air pollution and dementia risk, the estimates were consistent across the different analyses used.
“It’s rather sobering that there is this 3% relationship between incidence of dementia and the particulate matter and that it is such a precise estimate,” senior investigator Janet Martin, PharmD, MSc, associate professor of anesthesia & perioperative medicine and epidemiology & biostatistics at Western University’s, London, Ont., told this news organization.
The findings were published online in Neurology.
Conflicting results in past studies
Air pollution is a known risk factor for dementia, but studies attempting to pinpoint its exact impact have yielded conflicting results.
Researchers analyzed data from 17 studies with a total of 91.4 million individuals, 6% of whom had dementia. In addition to PM2.5, the investigators also assessed nitrogen oxides, which form smog, nitrogen dioxide, and ozone exposure.
After adjustments for other known risk factors, such as age and gender, results showed that dementia risk increased by 3% for every 1 m3 rise in PM2.5 exposure (adjusted hazard ratio, 1.03; 95% confidence interval, 1.02-1.05).
The associations between dementia and exposure to nitrogen oxides (HR, 1.05; 95% CI, 0.99-1.13), nitrogen dioxide (HR, 1.03; 95% CI, 1.00-1.07) and ozone (HR, 1.01; 95% CI, 0.91-1.11) did not reach statistical significance. However, the confidence intervals were wide enough that clinical relevance cannot be ruled out, Dr. Martin said.
The study did not examine how or if the duration of PM2.5 exposure affected dementia risk. In addition, the investigators were not able to identify a threshold above which dementia risk begins to rise.
The Environmental Pollution Agency considers average yearly exposures up to 12 mcg/m3 to be safe. The World Health Organization sets that limit lower, at 5 mcg/m3.
Dr. Martin noted that more studies are needed to explore those issues, as well as the mechanisms by which air pollutants contribute to the pathology of dementia. However, the clear link between fine particulate matter exposure and increased risk emphasizes the need to address air pollution as a modifiable risk factor for dementia.
“The rising tide of dementia is not something we can easily reverse,” Dr. Martin said. “The evidence has been so elusive for how to treat dementia once you have it, so our biggest opportunity is to prevent it.”
Results from a study published earlier in 2022 estimated that rates of dementia will triple worldwide and double in the United States by 2050 unless steps are taking to mitigate risk factors.
Research also suggests that improving air quality PM2.5 by just 10% results in a 14% decreased risk for dementia.
‘Impressive’ pattern
Paul Rosenberg, MD, codirector of the Memory and Alzheimer’s Treatment Center division of geriatric psychiatry at Johns Hopkins University, Baltimore, said that air pollution “is the most prominent environmental risk we’ve found” for dementia. It also “adds to many other lifestyle and comorbidity risks, such as lack of exercise, obesity, depression, hearing loss, etc,” said Dr. Rosenberg, who was not involved with the research.
He noted what was “most impressive” was that in most of the pooled studies, small particulate air pollution was associated with dementia. “The overall pattern is most impressive and the effect sizes quite consistent over most of the studies,” Dr. Rosenberg said.
The meta-analysis was unfunded. Dr. Martin and Dr. Rosenberg reported no relevant financial relationships.
A version of this article first appeared on Medscape.com.
Exposure to a traffic-related air pollutant significantly increases risk for dementia, new research suggests. Results from a meta-analysis, which included a total of more than 90 million people, showed
Particulate matter is a mixture of solid particles and liquid droplets from the burning of fossil fuels and nitrogen oxide, and also produced from road traffic exhaust.
While the research only showed an association between this type of air pollution and dementia risk, the estimates were consistent across the different analyses used.
“It’s rather sobering that there is this 3% relationship between incidence of dementia and the particulate matter and that it is such a precise estimate,” senior investigator Janet Martin, PharmD, MSc, associate professor of anesthesia & perioperative medicine and epidemiology & biostatistics at Western University’s, London, Ont., told this news organization.
The findings were published online in Neurology.
Conflicting results in past studies
Air pollution is a known risk factor for dementia, but studies attempting to pinpoint its exact impact have yielded conflicting results.
Researchers analyzed data from 17 studies with a total of 91.4 million individuals, 6% of whom had dementia. In addition to PM2.5, the investigators also assessed nitrogen oxides, which form smog, nitrogen dioxide, and ozone exposure.
After adjustments for other known risk factors, such as age and gender, results showed that dementia risk increased by 3% for every 1 m3 rise in PM2.5 exposure (adjusted hazard ratio, 1.03; 95% confidence interval, 1.02-1.05).
The associations between dementia and exposure to nitrogen oxides (HR, 1.05; 95% CI, 0.99-1.13), nitrogen dioxide (HR, 1.03; 95% CI, 1.00-1.07) and ozone (HR, 1.01; 95% CI, 0.91-1.11) did not reach statistical significance. However, the confidence intervals were wide enough that clinical relevance cannot be ruled out, Dr. Martin said.
The study did not examine how or if the duration of PM2.5 exposure affected dementia risk. In addition, the investigators were not able to identify a threshold above which dementia risk begins to rise.
The Environmental Pollution Agency considers average yearly exposures up to 12 mcg/m3 to be safe. The World Health Organization sets that limit lower, at 5 mcg/m3.
Dr. Martin noted that more studies are needed to explore those issues, as well as the mechanisms by which air pollutants contribute to the pathology of dementia. However, the clear link between fine particulate matter exposure and increased risk emphasizes the need to address air pollution as a modifiable risk factor for dementia.
“The rising tide of dementia is not something we can easily reverse,” Dr. Martin said. “The evidence has been so elusive for how to treat dementia once you have it, so our biggest opportunity is to prevent it.”
Results from a study published earlier in 2022 estimated that rates of dementia will triple worldwide and double in the United States by 2050 unless steps are taking to mitigate risk factors.
Research also suggests that improving air quality PM2.5 by just 10% results in a 14% decreased risk for dementia.
‘Impressive’ pattern
Paul Rosenberg, MD, codirector of the Memory and Alzheimer’s Treatment Center division of geriatric psychiatry at Johns Hopkins University, Baltimore, said that air pollution “is the most prominent environmental risk we’ve found” for dementia. It also “adds to many other lifestyle and comorbidity risks, such as lack of exercise, obesity, depression, hearing loss, etc,” said Dr. Rosenberg, who was not involved with the research.
He noted what was “most impressive” was that in most of the pooled studies, small particulate air pollution was associated with dementia. “The overall pattern is most impressive and the effect sizes quite consistent over most of the studies,” Dr. Rosenberg said.
The meta-analysis was unfunded. Dr. Martin and Dr. Rosenberg reported no relevant financial relationships.
A version of this article first appeared on Medscape.com.
FROM NEUROLOGY
Is opioid abuse leading to pediatric head trauma?
As a physician in the heart of the opioid epidemic, Pavirthra R. Ellison, MD, has watched for years as her patients have lost parents to overdoses. More than 1,400 adults in West Virginia, where she practices, died of opioid abuse in 2021 alone, government statistics show.
The grim toll made Ellison wonder: What was happening to children in the state? The answer, according to a new study, is not reassuring.
Ellison and her colleagues have found a troubling link between a surge in critical head and neck injuries among youth in West Virginia and a spike in positive tests for opioids and benzodiazepines among children who arrive at emergency departments in the state. They don’t think the pattern is a coincidence.
“What we found was really kind of scary,” said Dr. Ellison, a professor of anesthesiology and pediatrics at West Virginia University, Morgantown. “Children in this region often get exposure to these drugs early on.”
A region in crisis
According to a 2020 report from the Department of Health & Human Services, about 9.9 million Americans abused prescription opioids in 2018. That same year, almost 47,000 died following an overdose of the painkillers. In 2017, Appalachian counties experienced a death rate from opioid overdoses that was 72% higher than that of the rest of the country.
Dr. Ellison and associates who presented their findings recently at the 2022 annual meeting of the American Society of Anesthesiologists, examined rates of pediatric trauma injuries, injury severity, and results of drug screenings throughout West Virginia between 2009 and 2019.
The study included 4,538 children and adolescents younger than 18 years who had been treated for head and neck trauma. The youth were divided into two groups: 3,356 who were treated from 2009 to 2016, and 1,182 who were treated between 2017 and 2019.
The incidence of critical head injuries increased from 3.7% in the period 2009-2016 to 7.2% in the period 2017-2019 (P = .007). The incidence of serious neck injuries increased from 12.2% to 27.1% (P = .007) during that period, according to the researchers. The number of days that these patients spent on ventilators more than doubled, from 3.1 to 6.3 (P < .001), they reported.
At the same time, the rate of positive urine drug tests rose sharply, from 0.8% to 1.8% (P < .001) for benzodiazepines and from 1% to 4.9% for opioids (P < .001).
Drug testing of children hospitalized for trauma rose more than threefold, from 6.9% to 23.2% (P < .001). Dr. Ellison’s group was unable to match positive drug screens with patients who came in with injuries.
Dr. Ellison said her research “warrants further evaluation of current policies and protocols targeting substance use in children and adolescents.” To that end, her team is planning to conduct a prospective study in mid 2023 to further illuminate the trends.
“I hope early next year we can put together a group of physicians, pediatric general surgeons, neurosurgeons, and anesthesiologists,” she said. “I want to look at what we can do to reduce the severity of injury.”
She also wants to reach the population that these findings directly affect.
“The next step that we are currently working on is community awareness of the issue,” Dr. Ellison said. “Our trauma institute is partnering with middle school and high school kids to create material to raise awareness.”
Rural Appalachia faces several other endemic problems that affect the health and well-being of children and families, including limited access to health care, poverty, and minimal community support, according to Dr. Ellison. Children and teens in the region who live with parents who abuse opioids are more likely to experience family conflict, mental health challenges, legal troubles, and negative health effects, including physical trauma.
A call to action
Toufic Jildeh, MD, assistant professor of orthopedics, Michigan State University Health Care, East Lansing, who has studied ways to reduce opioid use among surgery patients, called the new findings “alarming.”
After reviewing the study, Dr. Jildeh said that in his opinion, the results support standardized drug testing of children, particularly in the context of severe trauma.
Bruce Bassi, MD, an addiction psychiatrist and owner of TelepsychHealth, a private, online psychiatric practice, agreed. “The main take-home message is that drug screening should be the standard of care for pediatric patients in this region, because it changes the management of those individuals,” Dr. Bassi said.
But identifying these patients is just the first step. “We should continue to educate and raise awareness, not only in the health care system,” Dr. Bassi said. “We also need to let parents know that the possibility of children obtaining access to medications is high.”
The study was independently supported. Dr. Ellison and Dr. Jildeh reported no relevant financial relationships. Dr. Bassi owns a private psychiatry practice called Telepsychhealth but has no other relevant financial relationships.
A version of this article first appeared on Medscape.com.
As a physician in the heart of the opioid epidemic, Pavirthra R. Ellison, MD, has watched for years as her patients have lost parents to overdoses. More than 1,400 adults in West Virginia, where she practices, died of opioid abuse in 2021 alone, government statistics show.
The grim toll made Ellison wonder: What was happening to children in the state? The answer, according to a new study, is not reassuring.
Ellison and her colleagues have found a troubling link between a surge in critical head and neck injuries among youth in West Virginia and a spike in positive tests for opioids and benzodiazepines among children who arrive at emergency departments in the state. They don’t think the pattern is a coincidence.
“What we found was really kind of scary,” said Dr. Ellison, a professor of anesthesiology and pediatrics at West Virginia University, Morgantown. “Children in this region often get exposure to these drugs early on.”
A region in crisis
According to a 2020 report from the Department of Health & Human Services, about 9.9 million Americans abused prescription opioids in 2018. That same year, almost 47,000 died following an overdose of the painkillers. In 2017, Appalachian counties experienced a death rate from opioid overdoses that was 72% higher than that of the rest of the country.
Dr. Ellison and associates who presented their findings recently at the 2022 annual meeting of the American Society of Anesthesiologists, examined rates of pediatric trauma injuries, injury severity, and results of drug screenings throughout West Virginia between 2009 and 2019.
The study included 4,538 children and adolescents younger than 18 years who had been treated for head and neck trauma. The youth were divided into two groups: 3,356 who were treated from 2009 to 2016, and 1,182 who were treated between 2017 and 2019.
The incidence of critical head injuries increased from 3.7% in the period 2009-2016 to 7.2% in the period 2017-2019 (P = .007). The incidence of serious neck injuries increased from 12.2% to 27.1% (P = .007) during that period, according to the researchers. The number of days that these patients spent on ventilators more than doubled, from 3.1 to 6.3 (P < .001), they reported.
At the same time, the rate of positive urine drug tests rose sharply, from 0.8% to 1.8% (P < .001) for benzodiazepines and from 1% to 4.9% for opioids (P < .001).
Drug testing of children hospitalized for trauma rose more than threefold, from 6.9% to 23.2% (P < .001). Dr. Ellison’s group was unable to match positive drug screens with patients who came in with injuries.
Dr. Ellison said her research “warrants further evaluation of current policies and protocols targeting substance use in children and adolescents.” To that end, her team is planning to conduct a prospective study in mid 2023 to further illuminate the trends.
“I hope early next year we can put together a group of physicians, pediatric general surgeons, neurosurgeons, and anesthesiologists,” she said. “I want to look at what we can do to reduce the severity of injury.”
She also wants to reach the population that these findings directly affect.
“The next step that we are currently working on is community awareness of the issue,” Dr. Ellison said. “Our trauma institute is partnering with middle school and high school kids to create material to raise awareness.”
Rural Appalachia faces several other endemic problems that affect the health and well-being of children and families, including limited access to health care, poverty, and minimal community support, according to Dr. Ellison. Children and teens in the region who live with parents who abuse opioids are more likely to experience family conflict, mental health challenges, legal troubles, and negative health effects, including physical trauma.
A call to action
Toufic Jildeh, MD, assistant professor of orthopedics, Michigan State University Health Care, East Lansing, who has studied ways to reduce opioid use among surgery patients, called the new findings “alarming.”
After reviewing the study, Dr. Jildeh said that in his opinion, the results support standardized drug testing of children, particularly in the context of severe trauma.
Bruce Bassi, MD, an addiction psychiatrist and owner of TelepsychHealth, a private, online psychiatric practice, agreed. “The main take-home message is that drug screening should be the standard of care for pediatric patients in this region, because it changes the management of those individuals,” Dr. Bassi said.
But identifying these patients is just the first step. “We should continue to educate and raise awareness, not only in the health care system,” Dr. Bassi said. “We also need to let parents know that the possibility of children obtaining access to medications is high.”
The study was independently supported. Dr. Ellison and Dr. Jildeh reported no relevant financial relationships. Dr. Bassi owns a private psychiatry practice called Telepsychhealth but has no other relevant financial relationships.
A version of this article first appeared on Medscape.com.
As a physician in the heart of the opioid epidemic, Pavirthra R. Ellison, MD, has watched for years as her patients have lost parents to overdoses. More than 1,400 adults in West Virginia, where she practices, died of opioid abuse in 2021 alone, government statistics show.
The grim toll made Ellison wonder: What was happening to children in the state? The answer, according to a new study, is not reassuring.
Ellison and her colleagues have found a troubling link between a surge in critical head and neck injuries among youth in West Virginia and a spike in positive tests for opioids and benzodiazepines among children who arrive at emergency departments in the state. They don’t think the pattern is a coincidence.
“What we found was really kind of scary,” said Dr. Ellison, a professor of anesthesiology and pediatrics at West Virginia University, Morgantown. “Children in this region often get exposure to these drugs early on.”
A region in crisis
According to a 2020 report from the Department of Health & Human Services, about 9.9 million Americans abused prescription opioids in 2018. That same year, almost 47,000 died following an overdose of the painkillers. In 2017, Appalachian counties experienced a death rate from opioid overdoses that was 72% higher than that of the rest of the country.
Dr. Ellison and associates who presented their findings recently at the 2022 annual meeting of the American Society of Anesthesiologists, examined rates of pediatric trauma injuries, injury severity, and results of drug screenings throughout West Virginia between 2009 and 2019.
The study included 4,538 children and adolescents younger than 18 years who had been treated for head and neck trauma. The youth were divided into two groups: 3,356 who were treated from 2009 to 2016, and 1,182 who were treated between 2017 and 2019.
The incidence of critical head injuries increased from 3.7% in the period 2009-2016 to 7.2% in the period 2017-2019 (P = .007). The incidence of serious neck injuries increased from 12.2% to 27.1% (P = .007) during that period, according to the researchers. The number of days that these patients spent on ventilators more than doubled, from 3.1 to 6.3 (P < .001), they reported.
At the same time, the rate of positive urine drug tests rose sharply, from 0.8% to 1.8% (P < .001) for benzodiazepines and from 1% to 4.9% for opioids (P < .001).
Drug testing of children hospitalized for trauma rose more than threefold, from 6.9% to 23.2% (P < .001). Dr. Ellison’s group was unable to match positive drug screens with patients who came in with injuries.
Dr. Ellison said her research “warrants further evaluation of current policies and protocols targeting substance use in children and adolescents.” To that end, her team is planning to conduct a prospective study in mid 2023 to further illuminate the trends.
“I hope early next year we can put together a group of physicians, pediatric general surgeons, neurosurgeons, and anesthesiologists,” she said. “I want to look at what we can do to reduce the severity of injury.”
She also wants to reach the population that these findings directly affect.
“The next step that we are currently working on is community awareness of the issue,” Dr. Ellison said. “Our trauma institute is partnering with middle school and high school kids to create material to raise awareness.”
Rural Appalachia faces several other endemic problems that affect the health and well-being of children and families, including limited access to health care, poverty, and minimal community support, according to Dr. Ellison. Children and teens in the region who live with parents who abuse opioids are more likely to experience family conflict, mental health challenges, legal troubles, and negative health effects, including physical trauma.
A call to action
Toufic Jildeh, MD, assistant professor of orthopedics, Michigan State University Health Care, East Lansing, who has studied ways to reduce opioid use among surgery patients, called the new findings “alarming.”
After reviewing the study, Dr. Jildeh said that in his opinion, the results support standardized drug testing of children, particularly in the context of severe trauma.
Bruce Bassi, MD, an addiction psychiatrist and owner of TelepsychHealth, a private, online psychiatric practice, agreed. “The main take-home message is that drug screening should be the standard of care for pediatric patients in this region, because it changes the management of those individuals,” Dr. Bassi said.
But identifying these patients is just the first step. “We should continue to educate and raise awareness, not only in the health care system,” Dr. Bassi said. “We also need to let parents know that the possibility of children obtaining access to medications is high.”
The study was independently supported. Dr. Ellison and Dr. Jildeh reported no relevant financial relationships. Dr. Bassi owns a private psychiatry practice called Telepsychhealth but has no other relevant financial relationships.
A version of this article first appeared on Medscape.com.