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extacy
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A peer-reviewed clinical journal serving healthcare professionals working with the Department of Veterans Affairs, the Department of Defense, and the Public Health Service.
FDA acts against sales of unapproved mole and skin tag products on Amazon, other sites
according to a press release issued on Aug. 9.
In addition to Amazon.com, the other two companies are Ariella Naturals, and Justified Laboratories.
Currently, no over-the-counter products are FDA-approved for the at-home removal of moles and skin tags, and use of unapproved products could be dangerous to consumers, according to the statement. These products may be sold as ointments, gels, sticks, or liquids, and may contain high concentrations of salicylic acid or other harmful ingredients. Introducing unapproved products in to interstate commerce violates the Federal Food, Drug, and Cosmetic Act.
Two products sold on Amazon are the “Deisana Skin Tag Remover, Mole Remover and Repair Gel Set” and “Skincell Mole Skin Tag Corrector Serum,” according to the letter sent to Amazon.
The warning letters alert the three companies that they have 15 days from receipt to address any violations. However, warning letters are not a final FDA action, according to the statement.
“The agency’s rigorous surveillance works to identify threats to public health and stop these products from reaching our communities,” Donald D. Ashley, JD, director of the Office of Compliance in the FDA’s Center for Drug Evaluation and Research, said in the press release. “This includes where online retailers like Amazon are involved in the interstate sale of unapproved drug products. We will continue to work diligently to ensure that online retailers do not sell products that violate federal law,” he added.
The statement emphasized that moles should be evaluated by a health care professional, as attempts at self-diagnosis and at-home treatment could lead to a delayed cancer diagnosis, and potentially to cancer progression.
Products marketed to consumers for at-home removal of moles, skin tags, and other skin lesions could cause injuries, infections, and scarring, according to a related consumer update first posted by the FDA in June, which was updated after the warning letters were sent out.
Consumers and health care professionals are encouraged to report any adverse events related to mole removal or skin tag removal products to the agency’s MedWatch Adverse Event Reporting program.
The FDA also offers an online guide, BeSafeRx, with advice for consumers about potential risks of using online pharmacies and how to do so safely.
according to a press release issued on Aug. 9.
In addition to Amazon.com, the other two companies are Ariella Naturals, and Justified Laboratories.
Currently, no over-the-counter products are FDA-approved for the at-home removal of moles and skin tags, and use of unapproved products could be dangerous to consumers, according to the statement. These products may be sold as ointments, gels, sticks, or liquids, and may contain high concentrations of salicylic acid or other harmful ingredients. Introducing unapproved products in to interstate commerce violates the Federal Food, Drug, and Cosmetic Act.
Two products sold on Amazon are the “Deisana Skin Tag Remover, Mole Remover and Repair Gel Set” and “Skincell Mole Skin Tag Corrector Serum,” according to the letter sent to Amazon.
The warning letters alert the three companies that they have 15 days from receipt to address any violations. However, warning letters are not a final FDA action, according to the statement.
“The agency’s rigorous surveillance works to identify threats to public health and stop these products from reaching our communities,” Donald D. Ashley, JD, director of the Office of Compliance in the FDA’s Center for Drug Evaluation and Research, said in the press release. “This includes where online retailers like Amazon are involved in the interstate sale of unapproved drug products. We will continue to work diligently to ensure that online retailers do not sell products that violate federal law,” he added.
The statement emphasized that moles should be evaluated by a health care professional, as attempts at self-diagnosis and at-home treatment could lead to a delayed cancer diagnosis, and potentially to cancer progression.
Products marketed to consumers for at-home removal of moles, skin tags, and other skin lesions could cause injuries, infections, and scarring, according to a related consumer update first posted by the FDA in June, which was updated after the warning letters were sent out.
Consumers and health care professionals are encouraged to report any adverse events related to mole removal or skin tag removal products to the agency’s MedWatch Adverse Event Reporting program.
The FDA also offers an online guide, BeSafeRx, with advice for consumers about potential risks of using online pharmacies and how to do so safely.
according to a press release issued on Aug. 9.
In addition to Amazon.com, the other two companies are Ariella Naturals, and Justified Laboratories.
Currently, no over-the-counter products are FDA-approved for the at-home removal of moles and skin tags, and use of unapproved products could be dangerous to consumers, according to the statement. These products may be sold as ointments, gels, sticks, or liquids, and may contain high concentrations of salicylic acid or other harmful ingredients. Introducing unapproved products in to interstate commerce violates the Federal Food, Drug, and Cosmetic Act.
Two products sold on Amazon are the “Deisana Skin Tag Remover, Mole Remover and Repair Gel Set” and “Skincell Mole Skin Tag Corrector Serum,” according to the letter sent to Amazon.
The warning letters alert the three companies that they have 15 days from receipt to address any violations. However, warning letters are not a final FDA action, according to the statement.
“The agency’s rigorous surveillance works to identify threats to public health and stop these products from reaching our communities,” Donald D. Ashley, JD, director of the Office of Compliance in the FDA’s Center for Drug Evaluation and Research, said in the press release. “This includes where online retailers like Amazon are involved in the interstate sale of unapproved drug products. We will continue to work diligently to ensure that online retailers do not sell products that violate federal law,” he added.
The statement emphasized that moles should be evaluated by a health care professional, as attempts at self-diagnosis and at-home treatment could lead to a delayed cancer diagnosis, and potentially to cancer progression.
Products marketed to consumers for at-home removal of moles, skin tags, and other skin lesions could cause injuries, infections, and scarring, according to a related consumer update first posted by the FDA in June, which was updated after the warning letters were sent out.
Consumers and health care professionals are encouraged to report any adverse events related to mole removal or skin tag removal products to the agency’s MedWatch Adverse Event Reporting program.
The FDA also offers an online guide, BeSafeRx, with advice for consumers about potential risks of using online pharmacies and how to do so safely.
How well do vaccines protect against long COVID?
New York City veterinarian Erin Kulick used to be a weekend warrior. Only 2½ years ago, the 38-year-old new mother played ultimate Frisbee and flag football with friends. She went for regular 30-minute runs to burn off stress.
Now, Dr. Kulick is usually so exhausted, she can’t walk nonstop for 15 minutes. She recently tried to take her 4-year-old son, Cooper, to the American Museum of Natural History for his first visit, but ended up on a bench outside the museum, sobbing in the rain, because she couldn’t even get through the first hurdle of standing in line. “I just wanted to be there with my kid,” she said.
Dr. Kulick got sick with COVID-19 at the start of the pandemic in March 2020, 9 months before the first vaccine would be approved. Now she is among the estimated one in five infected Americans, or 19%, whose symptoms developed into long COVID.
Dr. Kulick also is now vaccinated and boosted. Had a vaccine been available sooner, could it have protected her from long COVID?
Evidence is starting to show it’s likely.
“The best way not to have long COVID is not to have COVID at all,” said Leora Horwitz, MD, a professor of population health and medicine at New York University. “To the extent that vaccination can prevent you from getting COVID at all, then it helps to reduce long COVID.”
And People with more serious initial illness appear more likely to have prolonged symptoms, but those with milder disease can certainly get it, too.
“You’re more likely to have long COVID with more severe disease, and we have ample evidence that vaccination reduces the severity of disease,” Dr. Horwitz said. “We also now have quite a lot of evidence that vaccination does reduce your risk of long COVID – probably because it reduces your risk of severe disease.”
There is little consensus about how much vaccines can lower the risk of long-term COVID symptoms, but several studies suggest that number lies anywhere from 15% to more than 80%.
That might seem like a big variation, but infectious disease experts argue that trying to interpret the gap isn’t as important as noticing what’s consistent across all these studies: “Vaccines do offer some protection, but it’s incomplete,” said Ziyad Al-Aly, MD, chief of research and development at the Veterans Affairs St. Louis Health Care System. Dr. Al-Aly, who has led several large studies on long COVID, said focusing on the fact that vaccines do offer some protection is a much better public health message than looking at the different levels of risk.
“Vaccines do a miraculous job for what they were designed to do,” said Dr. Al-Aly. “Vaccines were designed to reduce the risk of hospitalization ... and for that, vaccines are still holding up, even with all the changes in the virus.”
Still, Elena Azzolini, MD, PhD, head of the Humanitas Research Hospital’s vaccination center in Milan, thinks some studies may have underestimated the level of long COVID protection from vaccines because of limits in the study methods, such as not including enough women, who are more affected by long COVID. Her recent study, which looked at 2,560 health care professionals working in nine Italian centers from March 2020 to April 2022, focused on the risk for healthy women and men in their 20s to their 70s.
In the paper, Dr. Azzolini and associates reported that two or three doses of vaccine reduced the risk of hospitalization from COVID-19 from 42% among those who are unvaccinated to 16%-17%. In other words, they found unvaccinated people in the study were nearly three times as likely to have serious symptoms for longer than 4 weeks.
But Dr. Azzolini and Dr. Al-Aly still say that, even for the vaccinated, as long as COVID is around, masks are necessary. That’s because current vaccines don’t do enough to reduce transmission, said Dr. Al-Aly. “The only way that can really help [stop] transmission is covering our nose and mouth with a mask.”
How vaccinations affect people who already have long COVID
Some long COVID patients have said they got better after they get boosted, while some say they’re getting worse, said Dr. Horwitz, who is also a lead investigator at the National Institutes of Health’s flagship RECOVER program, a 4-year research project to study long COVID across the United States. (The NIH is still recruiting volunteers for these studies, which are also open to people who have never had COVID.)
One study published in the British Medical Journal analyzed survey data of more than 28,000 people infected with COVID in the United Kingdom and found a 13% reduction in long-term symptoms after a first dose of the vaccine, although it was unclear from the data if the improvement was sustained.
A second dose was associated with another 8% improvement over a 2-month period. “It’s reassuring that we see an average modest improvement in symptoms, not an average worsening in symptoms,” said Daniel Ayoubkhani, principal statistician at the U.K. Office for National Statistics and lead author of the study. Of course, the experience will differ among different people.
“It doesn’t appear that vaccination is the silver bullet that’s going to eradicate long COVID,” he said, but evidence from multiple studies suggests vaccines may help people with long-term symptoms.
Akiko Iwasaki, PhD, an immunobiologist at Yale University, New Haven, Conn., told a White House summit in July that one of the best ways to prevent long COVID is to develop the next generation of vaccines that also prevent milder cases by blocking transmission in the first place.
Back in New York, Dr. Kulick is now triple vaccinated. She’s due for a fourth dose soon but admits she’s “terrified every time” that she’s going to get sicker.
In her Facebook support group for long COVID, she reads that most people with prolonged symptoms handle it well. She has also noticed some of her symptoms eased after her first two doses of vaccine.
Since being diagnosed, Dr. Kulick learned she has a genetic condition, Ehlers-Danlos syndrome, which affects connective tissues that support skin, joints, organs, and blood vessels, and which her doctors say may have made her more prone to long COVID. She’s also being screened for autoimmune diseases, but for now, the only relief she has found has come from long COVID physical therapy, changes to her diet, and integrative medicine.
Dr. Kulick is still trying to figure out how she can get better while keeping her long hours at her veterinary job – and her health benefits. She is thankful her husband is a devoted caregiver to their son and a professional jazz musician with a schedule that allows for some flexibility.
“But it’s really hard when every week feels like I’ve run a marathon,” she said. “I can barely make it through.”
A version of this article first appeared on WebMD.com.
New York City veterinarian Erin Kulick used to be a weekend warrior. Only 2½ years ago, the 38-year-old new mother played ultimate Frisbee and flag football with friends. She went for regular 30-minute runs to burn off stress.
Now, Dr. Kulick is usually so exhausted, she can’t walk nonstop for 15 minutes. She recently tried to take her 4-year-old son, Cooper, to the American Museum of Natural History for his first visit, but ended up on a bench outside the museum, sobbing in the rain, because she couldn’t even get through the first hurdle of standing in line. “I just wanted to be there with my kid,” she said.
Dr. Kulick got sick with COVID-19 at the start of the pandemic in March 2020, 9 months before the first vaccine would be approved. Now she is among the estimated one in five infected Americans, or 19%, whose symptoms developed into long COVID.
Dr. Kulick also is now vaccinated and boosted. Had a vaccine been available sooner, could it have protected her from long COVID?
Evidence is starting to show it’s likely.
“The best way not to have long COVID is not to have COVID at all,” said Leora Horwitz, MD, a professor of population health and medicine at New York University. “To the extent that vaccination can prevent you from getting COVID at all, then it helps to reduce long COVID.”
And People with more serious initial illness appear more likely to have prolonged symptoms, but those with milder disease can certainly get it, too.
“You’re more likely to have long COVID with more severe disease, and we have ample evidence that vaccination reduces the severity of disease,” Dr. Horwitz said. “We also now have quite a lot of evidence that vaccination does reduce your risk of long COVID – probably because it reduces your risk of severe disease.”
There is little consensus about how much vaccines can lower the risk of long-term COVID symptoms, but several studies suggest that number lies anywhere from 15% to more than 80%.
That might seem like a big variation, but infectious disease experts argue that trying to interpret the gap isn’t as important as noticing what’s consistent across all these studies: “Vaccines do offer some protection, but it’s incomplete,” said Ziyad Al-Aly, MD, chief of research and development at the Veterans Affairs St. Louis Health Care System. Dr. Al-Aly, who has led several large studies on long COVID, said focusing on the fact that vaccines do offer some protection is a much better public health message than looking at the different levels of risk.
“Vaccines do a miraculous job for what they were designed to do,” said Dr. Al-Aly. “Vaccines were designed to reduce the risk of hospitalization ... and for that, vaccines are still holding up, even with all the changes in the virus.”
Still, Elena Azzolini, MD, PhD, head of the Humanitas Research Hospital’s vaccination center in Milan, thinks some studies may have underestimated the level of long COVID protection from vaccines because of limits in the study methods, such as not including enough women, who are more affected by long COVID. Her recent study, which looked at 2,560 health care professionals working in nine Italian centers from March 2020 to April 2022, focused on the risk for healthy women and men in their 20s to their 70s.
In the paper, Dr. Azzolini and associates reported that two or three doses of vaccine reduced the risk of hospitalization from COVID-19 from 42% among those who are unvaccinated to 16%-17%. In other words, they found unvaccinated people in the study were nearly three times as likely to have serious symptoms for longer than 4 weeks.
But Dr. Azzolini and Dr. Al-Aly still say that, even for the vaccinated, as long as COVID is around, masks are necessary. That’s because current vaccines don’t do enough to reduce transmission, said Dr. Al-Aly. “The only way that can really help [stop] transmission is covering our nose and mouth with a mask.”
How vaccinations affect people who already have long COVID
Some long COVID patients have said they got better after they get boosted, while some say they’re getting worse, said Dr. Horwitz, who is also a lead investigator at the National Institutes of Health’s flagship RECOVER program, a 4-year research project to study long COVID across the United States. (The NIH is still recruiting volunteers for these studies, which are also open to people who have never had COVID.)
One study published in the British Medical Journal analyzed survey data of more than 28,000 people infected with COVID in the United Kingdom and found a 13% reduction in long-term symptoms after a first dose of the vaccine, although it was unclear from the data if the improvement was sustained.
A second dose was associated with another 8% improvement over a 2-month period. “It’s reassuring that we see an average modest improvement in symptoms, not an average worsening in symptoms,” said Daniel Ayoubkhani, principal statistician at the U.K. Office for National Statistics and lead author of the study. Of course, the experience will differ among different people.
“It doesn’t appear that vaccination is the silver bullet that’s going to eradicate long COVID,” he said, but evidence from multiple studies suggests vaccines may help people with long-term symptoms.
Akiko Iwasaki, PhD, an immunobiologist at Yale University, New Haven, Conn., told a White House summit in July that one of the best ways to prevent long COVID is to develop the next generation of vaccines that also prevent milder cases by blocking transmission in the first place.
Back in New York, Dr. Kulick is now triple vaccinated. She’s due for a fourth dose soon but admits she’s “terrified every time” that she’s going to get sicker.
In her Facebook support group for long COVID, she reads that most people with prolonged symptoms handle it well. She has also noticed some of her symptoms eased after her first two doses of vaccine.
Since being diagnosed, Dr. Kulick learned she has a genetic condition, Ehlers-Danlos syndrome, which affects connective tissues that support skin, joints, organs, and blood vessels, and which her doctors say may have made her more prone to long COVID. She’s also being screened for autoimmune diseases, but for now, the only relief she has found has come from long COVID physical therapy, changes to her diet, and integrative medicine.
Dr. Kulick is still trying to figure out how she can get better while keeping her long hours at her veterinary job – and her health benefits. She is thankful her husband is a devoted caregiver to their son and a professional jazz musician with a schedule that allows for some flexibility.
“But it’s really hard when every week feels like I’ve run a marathon,” she said. “I can barely make it through.”
A version of this article first appeared on WebMD.com.
New York City veterinarian Erin Kulick used to be a weekend warrior. Only 2½ years ago, the 38-year-old new mother played ultimate Frisbee and flag football with friends. She went for regular 30-minute runs to burn off stress.
Now, Dr. Kulick is usually so exhausted, she can’t walk nonstop for 15 minutes. She recently tried to take her 4-year-old son, Cooper, to the American Museum of Natural History for his first visit, but ended up on a bench outside the museum, sobbing in the rain, because she couldn’t even get through the first hurdle of standing in line. “I just wanted to be there with my kid,” she said.
Dr. Kulick got sick with COVID-19 at the start of the pandemic in March 2020, 9 months before the first vaccine would be approved. Now she is among the estimated one in five infected Americans, or 19%, whose symptoms developed into long COVID.
Dr. Kulick also is now vaccinated and boosted. Had a vaccine been available sooner, could it have protected her from long COVID?
Evidence is starting to show it’s likely.
“The best way not to have long COVID is not to have COVID at all,” said Leora Horwitz, MD, a professor of population health and medicine at New York University. “To the extent that vaccination can prevent you from getting COVID at all, then it helps to reduce long COVID.”
And People with more serious initial illness appear more likely to have prolonged symptoms, but those with milder disease can certainly get it, too.
“You’re more likely to have long COVID with more severe disease, and we have ample evidence that vaccination reduces the severity of disease,” Dr. Horwitz said. “We also now have quite a lot of evidence that vaccination does reduce your risk of long COVID – probably because it reduces your risk of severe disease.”
There is little consensus about how much vaccines can lower the risk of long-term COVID symptoms, but several studies suggest that number lies anywhere from 15% to more than 80%.
That might seem like a big variation, but infectious disease experts argue that trying to interpret the gap isn’t as important as noticing what’s consistent across all these studies: “Vaccines do offer some protection, but it’s incomplete,” said Ziyad Al-Aly, MD, chief of research and development at the Veterans Affairs St. Louis Health Care System. Dr. Al-Aly, who has led several large studies on long COVID, said focusing on the fact that vaccines do offer some protection is a much better public health message than looking at the different levels of risk.
“Vaccines do a miraculous job for what they were designed to do,” said Dr. Al-Aly. “Vaccines were designed to reduce the risk of hospitalization ... and for that, vaccines are still holding up, even with all the changes in the virus.”
Still, Elena Azzolini, MD, PhD, head of the Humanitas Research Hospital’s vaccination center in Milan, thinks some studies may have underestimated the level of long COVID protection from vaccines because of limits in the study methods, such as not including enough women, who are more affected by long COVID. Her recent study, which looked at 2,560 health care professionals working in nine Italian centers from March 2020 to April 2022, focused on the risk for healthy women and men in their 20s to their 70s.
In the paper, Dr. Azzolini and associates reported that two or three doses of vaccine reduced the risk of hospitalization from COVID-19 from 42% among those who are unvaccinated to 16%-17%. In other words, they found unvaccinated people in the study were nearly three times as likely to have serious symptoms for longer than 4 weeks.
But Dr. Azzolini and Dr. Al-Aly still say that, even for the vaccinated, as long as COVID is around, masks are necessary. That’s because current vaccines don’t do enough to reduce transmission, said Dr. Al-Aly. “The only way that can really help [stop] transmission is covering our nose and mouth with a mask.”
How vaccinations affect people who already have long COVID
Some long COVID patients have said they got better after they get boosted, while some say they’re getting worse, said Dr. Horwitz, who is also a lead investigator at the National Institutes of Health’s flagship RECOVER program, a 4-year research project to study long COVID across the United States. (The NIH is still recruiting volunteers for these studies, which are also open to people who have never had COVID.)
One study published in the British Medical Journal analyzed survey data of more than 28,000 people infected with COVID in the United Kingdom and found a 13% reduction in long-term symptoms after a first dose of the vaccine, although it was unclear from the data if the improvement was sustained.
A second dose was associated with another 8% improvement over a 2-month period. “It’s reassuring that we see an average modest improvement in symptoms, not an average worsening in symptoms,” said Daniel Ayoubkhani, principal statistician at the U.K. Office for National Statistics and lead author of the study. Of course, the experience will differ among different people.
“It doesn’t appear that vaccination is the silver bullet that’s going to eradicate long COVID,” he said, but evidence from multiple studies suggests vaccines may help people with long-term symptoms.
Akiko Iwasaki, PhD, an immunobiologist at Yale University, New Haven, Conn., told a White House summit in July that one of the best ways to prevent long COVID is to develop the next generation of vaccines that also prevent milder cases by blocking transmission in the first place.
Back in New York, Dr. Kulick is now triple vaccinated. She’s due for a fourth dose soon but admits she’s “terrified every time” that she’s going to get sicker.
In her Facebook support group for long COVID, she reads that most people with prolonged symptoms handle it well. She has also noticed some of her symptoms eased after her first two doses of vaccine.
Since being diagnosed, Dr. Kulick learned she has a genetic condition, Ehlers-Danlos syndrome, which affects connective tissues that support skin, joints, organs, and blood vessels, and which her doctors say may have made her more prone to long COVID. She’s also being screened for autoimmune diseases, but for now, the only relief she has found has come from long COVID physical therapy, changes to her diet, and integrative medicine.
Dr. Kulick is still trying to figure out how she can get better while keeping her long hours at her veterinary job – and her health benefits. She is thankful her husband is a devoted caregiver to their son and a professional jazz musician with a schedule that allows for some flexibility.
“But it’s really hard when every week feels like I’ve run a marathon,” she said. “I can barely make it through.”
A version of this article first appeared on WebMD.com.
Early time-restricted eating ups weight loss, but jury still out
, new findings suggest.
Previous studies have produced mixed results regarding the weight-loss potential for intermittent fasting, the practice of alternating eating with extended fasting, and the “time-restricted eating” format, where eating is restricted to a specific, often 10-hour, time window during the day.
In a new randomized clinical trial of 90 people with obesity in which that time window was 7 AM through 3 PM, so 8 hours long, researchers report that “eTRE was more effective for losing weight and lowering diastolic blood pressure than was eating over a period of 12 or more hours at 14 weeks. The eTRE intervention may therefore be an effective treatment for both obesity and hypertension.” The study, by Humaira Jamshed, PhD, of the department of nutrition sciences, University of Alabama at Birmingham, and colleagues, was published in JAMA Internal Medicine.
In an accompanying invited commentary, Shalender Bhasin, MBBS, points out that the study findings differ from those of a previous trial published in April of 139 adults conducted in China, which did not find a significant weight loss benefit with TRE versus ad lib eating.
“The scientific premise and the preclinical data of the effects of TRE are promising, but the inconsistency among studies renders it difficult to draw strong inferences from these well-conducted but relatively small trials,” notes Dr. Bhasin, of Harvard Medical School, Boston.
Need for larger and longer trials of TRE
Dr. Bhasin says – and the study authors also acknowledge – that much larger randomized clinical trials of longer duration are needed “to comprehensively evaluate the hypothesized benefits and risks of long-term TRE of calorically restricted diets in adults.”
Commenting on the study for the U.K. Science Media Centre, Simon Steenson, PhD, nutrition scientist, British Nutrition Foundation, said “one of the strengths of this new study is the trial design and the number of people who were recruited compared to many of the previous trials to date.”
However, Dr. Steenson also pointed to the prior Chinese research as evidence that the inconsistencies across studies highlight the need for larger and longer trials, with cardiovascular as well as weight-loss endpoints.
Still, Dr. Steenson said, “For individuals who may find that this pattern of eating fits better with their lifestyle and preferences, time-restricted feeding is one option for reducing overall calorie intake that might be a suitable approach for some. Ultimately, it is about finding the best approach to moderate calorie intake that works for each person, as successful and sustained weight loss is about ensuring the diet is feasible to follow in the long-term.”
Differences in weight loss, diastolic BP, but not all measures
The study population included 90 adults seen at the Weight Loss Medicine clinic at the University of Alabama at Birmingham between August 2018 and December 2019. Participants had a body mass index of 30-60 kg/m2, and none had diabetes.
They were randomized to eTRE with the 7 AM to PM eating window or a control schedule with eating across 12 hours or more, mimicking U.S. median mealtimes, at least 6 days a week. All participants received 30-minute weight-loss counseling sessions at baseline and at weeks 2, 6, and 10 and were advised to follow a diet of 500 kcal/day below their resting energy expenditure and exercise 75-150 minutes per week.
The eTRE group adhered with their schedule a mean of 6 days per week, lower than the 6.3 days among controls (P = .03), and adherence declined by about 0.4 days per week in the eTRE group over the 14 weeks (P = .001).
At 14 weeks, both the eTRE group and controls had lost clinically meaningful amounts of weight, at –6.3 kg and –4.0 kg, respectively, but the –2.3 kg difference was significant (P = .002).
However, there was no difference in absolute fat loss (P = .09) or ratio of fat loss to weight loss (P = .43). There were also no significant differences in changes in other body composition parameters, including visceral fat and waist circumference.
Diastolic blood pressure was lowered by an additional 4 mmHg in the eTRE group, compared with controls at 14 weeks (P = .04), but there were no significant differences in systolic blood pressure, heart rate, glucose, A1c levels, insulin levels, measures of insulin resistance, or plasma lipids.
There were no differences between the two groups in self-reported physical activity, energy intake, or dietary macronutrient composition either. However, weight-loss modeling in 77 participants with at least two weight measurements indicated that the eTRE group reduced their intake by about 214 kcal/day, compared with controls (P = .04).
Those in the eTRE group also showed greater improvements in measures of mood disturbance, vigor-activity, fatigue-inertia, and depression-dejection. Other mood and sleep endpoints were similar between groups.
In a secondary analysis of just the 59 participants who completed the study, eTRE was also more effective at reducing body fat (P = .047) and trunk fat (P = .03).
About 41% of the eTRE completers planned to continue the practice after the study concluded.
The study was supported by grants from the National Center for Advancing Translational Sciences of the National Institutes of Health and the National Institute of Diabetes and Digestive and Kidney Diseases. Dr. Jamshed has reported no relevant financial relationships. Dr. Bhasin has reported receiving grants to his institution for research on which Dr. Bhasin is the principal investigator from AbbVie and MIB, receiving personal fees from OPKO and Aditum and holding equity interest in FPT and XYOne. Dr. Steenson has declared funding in support of the British Nutrition Foundation that comes from a range of sources.
A version of this article first appeared on Medscape.com.
, new findings suggest.
Previous studies have produced mixed results regarding the weight-loss potential for intermittent fasting, the practice of alternating eating with extended fasting, and the “time-restricted eating” format, where eating is restricted to a specific, often 10-hour, time window during the day.
In a new randomized clinical trial of 90 people with obesity in which that time window was 7 AM through 3 PM, so 8 hours long, researchers report that “eTRE was more effective for losing weight and lowering diastolic blood pressure than was eating over a period of 12 or more hours at 14 weeks. The eTRE intervention may therefore be an effective treatment for both obesity and hypertension.” The study, by Humaira Jamshed, PhD, of the department of nutrition sciences, University of Alabama at Birmingham, and colleagues, was published in JAMA Internal Medicine.
In an accompanying invited commentary, Shalender Bhasin, MBBS, points out that the study findings differ from those of a previous trial published in April of 139 adults conducted in China, which did not find a significant weight loss benefit with TRE versus ad lib eating.
“The scientific premise and the preclinical data of the effects of TRE are promising, but the inconsistency among studies renders it difficult to draw strong inferences from these well-conducted but relatively small trials,” notes Dr. Bhasin, of Harvard Medical School, Boston.
Need for larger and longer trials of TRE
Dr. Bhasin says – and the study authors also acknowledge – that much larger randomized clinical trials of longer duration are needed “to comprehensively evaluate the hypothesized benefits and risks of long-term TRE of calorically restricted diets in adults.”
Commenting on the study for the U.K. Science Media Centre, Simon Steenson, PhD, nutrition scientist, British Nutrition Foundation, said “one of the strengths of this new study is the trial design and the number of people who were recruited compared to many of the previous trials to date.”
However, Dr. Steenson also pointed to the prior Chinese research as evidence that the inconsistencies across studies highlight the need for larger and longer trials, with cardiovascular as well as weight-loss endpoints.
Still, Dr. Steenson said, “For individuals who may find that this pattern of eating fits better with their lifestyle and preferences, time-restricted feeding is one option for reducing overall calorie intake that might be a suitable approach for some. Ultimately, it is about finding the best approach to moderate calorie intake that works for each person, as successful and sustained weight loss is about ensuring the diet is feasible to follow in the long-term.”
Differences in weight loss, diastolic BP, but not all measures
The study population included 90 adults seen at the Weight Loss Medicine clinic at the University of Alabama at Birmingham between August 2018 and December 2019. Participants had a body mass index of 30-60 kg/m2, and none had diabetes.
They were randomized to eTRE with the 7 AM to PM eating window or a control schedule with eating across 12 hours or more, mimicking U.S. median mealtimes, at least 6 days a week. All participants received 30-minute weight-loss counseling sessions at baseline and at weeks 2, 6, and 10 and were advised to follow a diet of 500 kcal/day below their resting energy expenditure and exercise 75-150 minutes per week.
The eTRE group adhered with their schedule a mean of 6 days per week, lower than the 6.3 days among controls (P = .03), and adherence declined by about 0.4 days per week in the eTRE group over the 14 weeks (P = .001).
At 14 weeks, both the eTRE group and controls had lost clinically meaningful amounts of weight, at –6.3 kg and –4.0 kg, respectively, but the –2.3 kg difference was significant (P = .002).
However, there was no difference in absolute fat loss (P = .09) or ratio of fat loss to weight loss (P = .43). There were also no significant differences in changes in other body composition parameters, including visceral fat and waist circumference.
Diastolic blood pressure was lowered by an additional 4 mmHg in the eTRE group, compared with controls at 14 weeks (P = .04), but there were no significant differences in systolic blood pressure, heart rate, glucose, A1c levels, insulin levels, measures of insulin resistance, or plasma lipids.
There were no differences between the two groups in self-reported physical activity, energy intake, or dietary macronutrient composition either. However, weight-loss modeling in 77 participants with at least two weight measurements indicated that the eTRE group reduced their intake by about 214 kcal/day, compared with controls (P = .04).
Those in the eTRE group also showed greater improvements in measures of mood disturbance, vigor-activity, fatigue-inertia, and depression-dejection. Other mood and sleep endpoints were similar between groups.
In a secondary analysis of just the 59 participants who completed the study, eTRE was also more effective at reducing body fat (P = .047) and trunk fat (P = .03).
About 41% of the eTRE completers planned to continue the practice after the study concluded.
The study was supported by grants from the National Center for Advancing Translational Sciences of the National Institutes of Health and the National Institute of Diabetes and Digestive and Kidney Diseases. Dr. Jamshed has reported no relevant financial relationships. Dr. Bhasin has reported receiving grants to his institution for research on which Dr. Bhasin is the principal investigator from AbbVie and MIB, receiving personal fees from OPKO and Aditum and holding equity interest in FPT and XYOne. Dr. Steenson has declared funding in support of the British Nutrition Foundation that comes from a range of sources.
A version of this article first appeared on Medscape.com.
, new findings suggest.
Previous studies have produced mixed results regarding the weight-loss potential for intermittent fasting, the practice of alternating eating with extended fasting, and the “time-restricted eating” format, where eating is restricted to a specific, often 10-hour, time window during the day.
In a new randomized clinical trial of 90 people with obesity in which that time window was 7 AM through 3 PM, so 8 hours long, researchers report that “eTRE was more effective for losing weight and lowering diastolic blood pressure than was eating over a period of 12 or more hours at 14 weeks. The eTRE intervention may therefore be an effective treatment for both obesity and hypertension.” The study, by Humaira Jamshed, PhD, of the department of nutrition sciences, University of Alabama at Birmingham, and colleagues, was published in JAMA Internal Medicine.
In an accompanying invited commentary, Shalender Bhasin, MBBS, points out that the study findings differ from those of a previous trial published in April of 139 adults conducted in China, which did not find a significant weight loss benefit with TRE versus ad lib eating.
“The scientific premise and the preclinical data of the effects of TRE are promising, but the inconsistency among studies renders it difficult to draw strong inferences from these well-conducted but relatively small trials,” notes Dr. Bhasin, of Harvard Medical School, Boston.
Need for larger and longer trials of TRE
Dr. Bhasin says – and the study authors also acknowledge – that much larger randomized clinical trials of longer duration are needed “to comprehensively evaluate the hypothesized benefits and risks of long-term TRE of calorically restricted diets in adults.”
Commenting on the study for the U.K. Science Media Centre, Simon Steenson, PhD, nutrition scientist, British Nutrition Foundation, said “one of the strengths of this new study is the trial design and the number of people who were recruited compared to many of the previous trials to date.”
However, Dr. Steenson also pointed to the prior Chinese research as evidence that the inconsistencies across studies highlight the need for larger and longer trials, with cardiovascular as well as weight-loss endpoints.
Still, Dr. Steenson said, “For individuals who may find that this pattern of eating fits better with their lifestyle and preferences, time-restricted feeding is one option for reducing overall calorie intake that might be a suitable approach for some. Ultimately, it is about finding the best approach to moderate calorie intake that works for each person, as successful and sustained weight loss is about ensuring the diet is feasible to follow in the long-term.”
Differences in weight loss, diastolic BP, but not all measures
The study population included 90 adults seen at the Weight Loss Medicine clinic at the University of Alabama at Birmingham between August 2018 and December 2019. Participants had a body mass index of 30-60 kg/m2, and none had diabetes.
They were randomized to eTRE with the 7 AM to PM eating window or a control schedule with eating across 12 hours or more, mimicking U.S. median mealtimes, at least 6 days a week. All participants received 30-minute weight-loss counseling sessions at baseline and at weeks 2, 6, and 10 and were advised to follow a diet of 500 kcal/day below their resting energy expenditure and exercise 75-150 minutes per week.
The eTRE group adhered with their schedule a mean of 6 days per week, lower than the 6.3 days among controls (P = .03), and adherence declined by about 0.4 days per week in the eTRE group over the 14 weeks (P = .001).
At 14 weeks, both the eTRE group and controls had lost clinically meaningful amounts of weight, at –6.3 kg and –4.0 kg, respectively, but the –2.3 kg difference was significant (P = .002).
However, there was no difference in absolute fat loss (P = .09) or ratio of fat loss to weight loss (P = .43). There were also no significant differences in changes in other body composition parameters, including visceral fat and waist circumference.
Diastolic blood pressure was lowered by an additional 4 mmHg in the eTRE group, compared with controls at 14 weeks (P = .04), but there were no significant differences in systolic blood pressure, heart rate, glucose, A1c levels, insulin levels, measures of insulin resistance, or plasma lipids.
There were no differences between the two groups in self-reported physical activity, energy intake, or dietary macronutrient composition either. However, weight-loss modeling in 77 participants with at least two weight measurements indicated that the eTRE group reduced their intake by about 214 kcal/day, compared with controls (P = .04).
Those in the eTRE group also showed greater improvements in measures of mood disturbance, vigor-activity, fatigue-inertia, and depression-dejection. Other mood and sleep endpoints were similar between groups.
In a secondary analysis of just the 59 participants who completed the study, eTRE was also more effective at reducing body fat (P = .047) and trunk fat (P = .03).
About 41% of the eTRE completers planned to continue the practice after the study concluded.
The study was supported by grants from the National Center for Advancing Translational Sciences of the National Institutes of Health and the National Institute of Diabetes and Digestive and Kidney Diseases. Dr. Jamshed has reported no relevant financial relationships. Dr. Bhasin has reported receiving grants to his institution for research on which Dr. Bhasin is the principal investigator from AbbVie and MIB, receiving personal fees from OPKO and Aditum and holding equity interest in FPT and XYOne. Dr. Steenson has declared funding in support of the British Nutrition Foundation that comes from a range of sources.
A version of this article first appeared on Medscape.com.
FROM JAMA INTERNAL MEDICINE
Does cannabis help with menopause symptoms?
Many women with symptoms of menopause are turning to cannabis for help, researchers have found, despite a lack of evidence that the drug works for these issues.
In a survey of perimenopausal and menopausal women who said they’ve used cannabis, nearly 80% said they use medical marijuana to alleviate symptoms such as sleep disturbances, hot flashes, and mood swings.
“Increasingly, we see greater numbers of individuals exploiting the use of cannabis and cannabinoids for lots of conditions. We realized there was no long-term data on how women were treating themselves for conditions like menopause,” said Staci Gruber, PhD, director of the Marijuana Investigations for Neuroscientific Discovery (MIND) program at McLean Hospital, an affiliate of Harvard Medical School, Boston, who led the study.
Dr. Gruber and her colleagues surveyed 131 perimenopausal and 127 postmenopausal women about their use of cannabis, identifying them through targeted advertising and social media platforms such as Twitter, Facebook, and Reddit.
The survey, published in Menopause, found 83.5% reported habitual cannabis use and 86% said they were current users. Around half of the women reported mixed medical/recreational use; 30.8% reported recreational use only and 17.7% said they only used medical forms of the drug.
The three most common modes of cannabis use were smoking a joint, bowl, or bong (84.3%); using edibles (78.3%);, and vaping oils (52.6%).
The researchers found that women in perimenopause reported markedly worse symptoms than did those in menopause, and these women tended to use a wider variety of cannabis products.
Dr. Gruber said clinicians should be asking their menopausal patients if they use cannabis to alleviate their symptoms.
Stephanie Faubion, MD, MBA, a women’s health expert at Mayo Clinic in Rochester, Minn., and Jacksonville, Fla., said the looming question is whether cannabis in fact works in these patients.
“What we need is to figure out whether it works for women, and that hasn’t been studied yet,” she said.
Dr. Faubion, medical director for the North American Menopause Society, said the society is now conducting a review of worldwide data on nonhormonal treatments for symptoms of menopause. The report, which will examine the most current research on the effects of cannabis, hypnosis, diet, exercise, acupuncture, yoga, and meditation, will be released in 2023, she said.
Dr. Gruber said she hopes her group’s research will open the doors to more detailed explorations of how strains of cannabis and their levels of cannabidiol, a chemical compound in cannabis plants, and tetrahydrocannabinol, the main psychoactive component in cannabis, affect the symptoms women experience from menopause. Clinical trials for products aimed at specific symptoms also will be important, she added.
“We have a paucity of data from primary care clinicians,” Dr. Gruber said. “We, as researchers and clinicians, should be providing women with the research to make informed choices.”
The study was supported by private donations to the MIND program at McLean Hospital. No funding sources were involved in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
Dr. Gruber reported grants from the National Institute on Drug Abuse, Foria/Praxis Ventures, and Charlotte’s Web. She reported personal fees from the Coalition for Cannabis Policy, Education and Regulation; Beth Israel Deaconess; Fenway Health; Greenwich Biosciences Cannabis Education Working Group; and National Academy of Neuropsychology outside the submitted work. Dr. Faubion reported no relevant financial relationships.
A version of this article first appeared on Medscape.com.
Many women with symptoms of menopause are turning to cannabis for help, researchers have found, despite a lack of evidence that the drug works for these issues.
In a survey of perimenopausal and menopausal women who said they’ve used cannabis, nearly 80% said they use medical marijuana to alleviate symptoms such as sleep disturbances, hot flashes, and mood swings.
“Increasingly, we see greater numbers of individuals exploiting the use of cannabis and cannabinoids for lots of conditions. We realized there was no long-term data on how women were treating themselves for conditions like menopause,” said Staci Gruber, PhD, director of the Marijuana Investigations for Neuroscientific Discovery (MIND) program at McLean Hospital, an affiliate of Harvard Medical School, Boston, who led the study.
Dr. Gruber and her colleagues surveyed 131 perimenopausal and 127 postmenopausal women about their use of cannabis, identifying them through targeted advertising and social media platforms such as Twitter, Facebook, and Reddit.
The survey, published in Menopause, found 83.5% reported habitual cannabis use and 86% said they were current users. Around half of the women reported mixed medical/recreational use; 30.8% reported recreational use only and 17.7% said they only used medical forms of the drug.
The three most common modes of cannabis use were smoking a joint, bowl, or bong (84.3%); using edibles (78.3%);, and vaping oils (52.6%).
The researchers found that women in perimenopause reported markedly worse symptoms than did those in menopause, and these women tended to use a wider variety of cannabis products.
Dr. Gruber said clinicians should be asking their menopausal patients if they use cannabis to alleviate their symptoms.
Stephanie Faubion, MD, MBA, a women’s health expert at Mayo Clinic in Rochester, Minn., and Jacksonville, Fla., said the looming question is whether cannabis in fact works in these patients.
“What we need is to figure out whether it works for women, and that hasn’t been studied yet,” she said.
Dr. Faubion, medical director for the North American Menopause Society, said the society is now conducting a review of worldwide data on nonhormonal treatments for symptoms of menopause. The report, which will examine the most current research on the effects of cannabis, hypnosis, diet, exercise, acupuncture, yoga, and meditation, will be released in 2023, she said.
Dr. Gruber said she hopes her group’s research will open the doors to more detailed explorations of how strains of cannabis and their levels of cannabidiol, a chemical compound in cannabis plants, and tetrahydrocannabinol, the main psychoactive component in cannabis, affect the symptoms women experience from menopause. Clinical trials for products aimed at specific symptoms also will be important, she added.
“We have a paucity of data from primary care clinicians,” Dr. Gruber said. “We, as researchers and clinicians, should be providing women with the research to make informed choices.”
The study was supported by private donations to the MIND program at McLean Hospital. No funding sources were involved in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
Dr. Gruber reported grants from the National Institute on Drug Abuse, Foria/Praxis Ventures, and Charlotte’s Web. She reported personal fees from the Coalition for Cannabis Policy, Education and Regulation; Beth Israel Deaconess; Fenway Health; Greenwich Biosciences Cannabis Education Working Group; and National Academy of Neuropsychology outside the submitted work. Dr. Faubion reported no relevant financial relationships.
A version of this article first appeared on Medscape.com.
Many women with symptoms of menopause are turning to cannabis for help, researchers have found, despite a lack of evidence that the drug works for these issues.
In a survey of perimenopausal and menopausal women who said they’ve used cannabis, nearly 80% said they use medical marijuana to alleviate symptoms such as sleep disturbances, hot flashes, and mood swings.
“Increasingly, we see greater numbers of individuals exploiting the use of cannabis and cannabinoids for lots of conditions. We realized there was no long-term data on how women were treating themselves for conditions like menopause,” said Staci Gruber, PhD, director of the Marijuana Investigations for Neuroscientific Discovery (MIND) program at McLean Hospital, an affiliate of Harvard Medical School, Boston, who led the study.
Dr. Gruber and her colleagues surveyed 131 perimenopausal and 127 postmenopausal women about their use of cannabis, identifying them through targeted advertising and social media platforms such as Twitter, Facebook, and Reddit.
The survey, published in Menopause, found 83.5% reported habitual cannabis use and 86% said they were current users. Around half of the women reported mixed medical/recreational use; 30.8% reported recreational use only and 17.7% said they only used medical forms of the drug.
The three most common modes of cannabis use were smoking a joint, bowl, or bong (84.3%); using edibles (78.3%);, and vaping oils (52.6%).
The researchers found that women in perimenopause reported markedly worse symptoms than did those in menopause, and these women tended to use a wider variety of cannabis products.
Dr. Gruber said clinicians should be asking their menopausal patients if they use cannabis to alleviate their symptoms.
Stephanie Faubion, MD, MBA, a women’s health expert at Mayo Clinic in Rochester, Minn., and Jacksonville, Fla., said the looming question is whether cannabis in fact works in these patients.
“What we need is to figure out whether it works for women, and that hasn’t been studied yet,” she said.
Dr. Faubion, medical director for the North American Menopause Society, said the society is now conducting a review of worldwide data on nonhormonal treatments for symptoms of menopause. The report, which will examine the most current research on the effects of cannabis, hypnosis, diet, exercise, acupuncture, yoga, and meditation, will be released in 2023, she said.
Dr. Gruber said she hopes her group’s research will open the doors to more detailed explorations of how strains of cannabis and their levels of cannabidiol, a chemical compound in cannabis plants, and tetrahydrocannabinol, the main psychoactive component in cannabis, affect the symptoms women experience from menopause. Clinical trials for products aimed at specific symptoms also will be important, she added.
“We have a paucity of data from primary care clinicians,” Dr. Gruber said. “We, as researchers and clinicians, should be providing women with the research to make informed choices.”
The study was supported by private donations to the MIND program at McLean Hospital. No funding sources were involved in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
Dr. Gruber reported grants from the National Institute on Drug Abuse, Foria/Praxis Ventures, and Charlotte’s Web. She reported personal fees from the Coalition for Cannabis Policy, Education and Regulation; Beth Israel Deaconess; Fenway Health; Greenwich Biosciences Cannabis Education Working Group; and National Academy of Neuropsychology outside the submitted work. Dr. Faubion reported no relevant financial relationships.
A version of this article first appeared on Medscape.com.
Consensus Statement Supporting the Presence of Onsite Radiation Oncology Departments at VHA Medical Centers
Radiation therapy, along with surgery and systemic therapy, is a primary therapeutic modality for cancer management. At least half of cancer patients receive radiation as part of their treatment regimen.1 Multiple studies demonstrate that radiotherapy is underutilized worldwide.2 One reason for underutilization of radiotherapy globally is poor access to this treatment modality. Factors that contribute to poor access include long wait times for consultation, delays in treatment initiation, distance to a treatment facility, and poor coordination of care.
Taskforce Findings
The presence of onsite radiation oncology and its impact on utilization of radiotherapy is poorly studied. The Veterans Health Administration (VHA) Palliative Radiotherapy Taskforce recently conducted a survey to determine the barriers to referral and timeliness of treatment for palliative radiotherapy within the VHA.3 Key findings of this study comparing centers with onsite radiation departments with centers without onsite radiation departments include:
a. Radiation consults are more likely to be completed within 1 week of consult request at centers with onsite radiation therapy (68% vs 31%, respectively; P = .01).
b. Centers with onsite radiation therapy more frequently deliver emergent treatment within 24 hours for patients with spinal cord compression, an emergency condition in which prompt radiation can prevent or minimize long-term neurologic disability (94% vs 70%, respectively; P = .01).
c. Referring practitioners with onsite radiation departments are less likely to report difficulty contacting a radiation oncologist as a barrier to referral for palliative radiotherapy (0% vs 20%, respectively; P = .006).
d. Referring practitioners with onsite radiotherapy report patient travel as a barrier to referral for palliative radiotherapy less frequently (28% vs 71%, respectively; P < .001).
e. Practitioners with onsite radiation oncology departments are more likely to have multidisciplinary tumor boards (31% vs 3%, respectively; P = .01) and are more likely to be influenced by radiation oncology recommendations at tumor boards (69% vs 44%, respectively; P = .02).
Based on the findings of this study, the VHA Palliative Radiotherapy Taskforce has prepared this consensus statement regarding the importance of onsite radiation oncology departments at VHA medical centers. More information regarding our 5 key findings and their implications for patient care are as follows:
Timeliness of Radiation Oncology Consultation
Delays in radiation oncology consultation, which can also delay treatment initiation, are associated with poor satisfaction among both patients and referring clinicians.4 Wait times have been identified as a barrier to utilization of radiotherapy by both patients and clinicians.5,6 Furthermore, delays in initiation of definitive therapy have been associated with worse outcomes, including worse overall survival.7,8 Our survey study demonstrates that consults for palliative radiotherapy are occurring in a more timely manner at centers with onsite radiation departments. Radiation oncology consults are more frequently completed within 1 week at centers with onsite radiation oncology departments compared with centers without onsite radiation oncology departments (68% vs 31%, P = .01). This trend would likely be seen for nonpalliative, definitive cases as well. The presence of radiation oncology departments onsite at VHA medical centers is an important component of timely care for veterans to optimize outcomes of cancer treatment.
Timely Delivery of Radiotherapy for Oncologic Emergencies
There are a few scenarios in which emergent radiation treatment, within 24 hours, is indicated. These include malignant spinal cord compression, uncal herniation from brain metastasis, superior vena cava syndrome, and tumor hemorrhage.9 Studies on management of metastatic spinal cord compression demonstrate that delays in treatment are associated with reduced ambulation10 as well as loss of sphincter function and incontinence.11
Our study demonstrates that VHA medical centers with onsite radiotherapy more frequently deliver radiotherapy within 24 hours for patients with metastatic spinal cord compression. This timely delivery of treatment is critical to optimizing functional status and quality of life in patients requiring treatment for oncologic emergencies. Revisiting treatment pathways for such situations at regular intervals is crucial given that residents and staff may rotate and be unfamiliar with emergency protocols.
Communication With Radiation Oncologists
Several studies have demonstrated that the inability to contact a radiation oncologist and poor communication result in decreased referrals for palliative radiotherapy.12,13 Our study demonstrates that onsite radiation oncology is associated with improved ability to contact a radiation oncologist. About 20% of clinicians at facilities without onsite radiation oncology reported difficulty contacting a radiation oncologist, compared with 0% at facilities with onsite radiation departments (P = .006).
It is possible that increased radiation oncology presence at VHA medical centers, through attenuation of barriers related to contacting a radiation oncologist and improved communication, would lead to increased use of radiotherapy. Increased communication between referring clinicians and radiation oncologists also can help with education of those clinicians making the referral. Since knowledge gaps have been identified in multiple studies as a barrier to referral for radiotherapy, such communication and increased education on the role of radiotherapy could increase use.12-14
Patient Travel
Patient ability to travel was the most commonly reported barrier (81%) to referral for palliative radiotherapy in our study. Travel time and transportation difficulties have been established in multiple studies as barriers to radiotherapy for both definitive and palliative management.15-18 Travel for radiotherapy was much less frequently reported as a barrier among respondents with onsite radiation oncology departments compared with those without onsite radiation departments (28% vs 71%, respectively; P < .001).
It is therefore possible that expansion of VHA radiation oncology services, allowing for provision of onsite radiotherapy at more VHA facilities, would reduce travel burden. Increasing travel accommodations for patients and provision of patient lodging on hospital campuses, which is already offered at some VHA medical centers (ie, Fisher House Foundation), could also help attenuate this barrier.
Multidisciplinary Tumor Boards
Our study demonstrates that centers with onsite radiation departments more frequently hold multidisciplinary tumor boards compared with centers without radiation departments (31% vs 3%, respectively; P = .01). Multidisciplinary tumor boards allow subspecialties to meet regularly to communicate about patient care and can help mitigate barriers related to communication and education of the referring health care practitioners.
As cases are discussed in multidisciplinary tumor boards, health care practitioners have the opportunity to make recommendations and provide education on potential benefits and/or downsides of treatments offered by their respective specialties. Several studies have demonstrated that cases discussed at multidisciplinary tumor boards are more likely to be referred for radiation therapy.19-21 Furthermore, multidisciplinary tumor boards have been associated with improved treatment outcomes.22
Conclusions
In this consensus statement the VHA Palliative Radiotherapy Taskforce recommends the optimization of use of radiotherapy within the VHA. Radiation oncology services should be maintained where present in the VHA, with consideration for expansion of services to additional facilities. Telehealth should be used to expedite consults and treatment. Hypofractionation should be used, when appropriate, to ease travel burden. Options for transportation services and onsite housing, or hospitalization, should be understood by practitioners and offered to patients to mitigate barriers related to travel.
1. Barton MB, Jacob S, Shafiq J, et al. Estimating the demand for radiotherapy from the evidence: a review of changes from 2003 to 2012. Radiother Oncol. 2014;112(1):140-144. doi:10.1016/j.radonc.2014.03.024
2. Atun R, Jaffray DA, Barton MB, et al. Expanding global access to radiotherapy. Lancet Oncol. 2015;16(10):1153-1186. doi:10.1016/S1470-2045(15)00222-3
3. Gutt R, Malhotra S, Hagan MP, et al. Palliative radiotherapy within the Veterans Health Administration: barriers to referral and timeliness of treatment. JCO Oncol Pract. 2021;17(12):e1913-e1922. doi:10.1200/OP.20.00981
4. Agazaryan N, Chow P, Lamb J, et al. The timeliness initiative: continuous process improvement for prompt initiation of radiation therapy treatment. Adv Radiat Oncol. 2020;5(5):1014-1021. Published 2020 Mar 10. doi:10.1016/j.adro.2020.01.007
5. Gillan C, Briggs K, Goytisolo Pazos A, et al. Barriers to accessing radiation therapy in Canada: a systematic review. Radiat Oncol. 2012;7:167. Published 2012 Oct 12. doi:10.1186/1748-717X-7-167
6. Hanna TP, Richardson H, Peng Y, Kong W, Zhang-Salomons J, Mackillop WJ. A population-based study of factors affecting the use of radiotherapy for endometrial cancer. Clin Oncol (R Coll Radiol). 2012;24(8):e113-e124. doi:10.1016/j.clon.2012.01.007
7. Ho AS, Kim S, Tighiouart M, et al. Quantitative survival impact of composite treatment delays in head and neck cancer. Cancer. 2018;124(15):3154-3162. doi:10.1002/cncr.31533
8. Cone EB, Marchese M, Paciotti M, et al. Assessment of time-to-treatment initiation and survival in a cohort of patients with common cancers. JAMA Netw Open. 2020;3(12):e2030072. Published 2020 Dec 1. doi:10.1001/jamanetworkopen.2020.30072
9. Mitera G, Swaminath A, Wong S, et al. Radiotherapy for oncologic emergencies on weekends: examining reasons for treatment and patterns of practice at a Canadian cancer centre. Curr Oncol. 2009;16(4):55-60. doi:10.3747/co.v16i4.352
10. Laufer I, Zuckerman SL, Bird JE, et al. Predicting neurologic recovery after surgery in patients with deficits secondary to MESCC: systematic review. Spine (Phila Pa 1976). 2016;41 (Suppl 20):S224-S230. doi:10.1097/BRS.0000000000001827
11. Husband DJ. Malignant spinal cord compression: prospective study of delays in referral and treatment. BMJ. 1998;317(7150):18-21. doi:10.1136/bmj.317.7150.18
12. Samant RS, Fitzgibbon E, Meng J, Graham ID. Family physicians’ perspectives regarding palliative radiotherapy. Radiother Oncol. 2006;78(1):101-106. doi:10.1016/j.radonc.2005.11.008
13. McCloskey SA, Tao ML, Rose CM, Fink A, Amadeo AM. National survey of perspectives of palliative radiation therapy: role, barriers, and needs. Cancer J. 2007;13(2):130-137. doi:10.1097/PPO.0b013e31804675d4
14. Chierchini S, Ingrosso G, Saldi S, Stracci F, Aristei C. Physician and patient barriers to radiotherapy service access: treatment referral implications. Cancer Manag Res. 2019;11:8829-8833. Published 2019 Oct 7. doi:10.2147/CMAR.S168941
15. Longacre CF, Neprash HT, Shippee ND, Tuttle TM, Virnig BA. Travel, treatment choice, and survival among breast cancer patients: a population-based analysis. Womens Health Rep (New Rochelle). 2021;2(1):1-10. Published 2021 Jan 11. doi:10.1089/whr.2020.0094
16. Yang DD, Muralidhar V, Mahal BA, et al. Travel distance as a barrier to receipt of adjuvant radiation therapy after radical Prostatectomy. Am J Clin Oncol. 2018;41(10):953-959. doi:10.1097/COC.0000000000000410
17. Sundaresan P, King M, Stockler M, Costa D, Milross C. Barriers to radiotherapy utilization: Consumer perceptions of issues influencing radiotherapy-related decisions. Asia Pac J Clin Oncol. 2017;13(5):e489-e496. doi:10.1111/ajco.12579
18. Ambroggi M, Biasini C, Del Giovane C, Fornari F, Cavanna L. Distance as a barrier to cancer diagnosis and treatment: review of the literature. Oncologist. 2015;20(12):1378-1385. doi:10.1634/theoncologist.2015-0110
19. Bydder S, Nowak A, Marion K, Phillips M, Atun R. The impact of case discussion at a multidisciplinary team meeting on the treatment and survival of patients with inoperable non-small cell lung cancer. Intern Med J. 2009;39(12):838-841. doi:10.1111/j.1445-5994.2009.02019.x
20. Brännström F, Bjerregaard JK, Winbladh A, et al. Multidisciplinary team conferences promote treatment according to guidelines in rectal cancer. Acta Oncol. 2015;54(4):447-453. doi:10.3109/0284186X.2014.952387
21. Pillay B, Wootten AC, Crowe H, et al. The impact of multidisciplinary team meetings on patient assessment, management and outcomes in oncology settings: A systematic review of the literature. Cancer Treat Rev. 2016;42:56-72. doi:10.1016/j.ctrv.2015.11.007
22. Freytag M, Herrlinger U, Hauser S, et al. Higher number of multidisciplinary tumor board meetings per case leads to improved clinical outcome. BMC Cancer. 2020;20(1):355. Published 2020 Apr 28. doi:10.1186/s12885-020-06809-1
Radiation therapy, along with surgery and systemic therapy, is a primary therapeutic modality for cancer management. At least half of cancer patients receive radiation as part of their treatment regimen.1 Multiple studies demonstrate that radiotherapy is underutilized worldwide.2 One reason for underutilization of radiotherapy globally is poor access to this treatment modality. Factors that contribute to poor access include long wait times for consultation, delays in treatment initiation, distance to a treatment facility, and poor coordination of care.
Taskforce Findings
The presence of onsite radiation oncology and its impact on utilization of radiotherapy is poorly studied. The Veterans Health Administration (VHA) Palliative Radiotherapy Taskforce recently conducted a survey to determine the barriers to referral and timeliness of treatment for palliative radiotherapy within the VHA.3 Key findings of this study comparing centers with onsite radiation departments with centers without onsite radiation departments include:
a. Radiation consults are more likely to be completed within 1 week of consult request at centers with onsite radiation therapy (68% vs 31%, respectively; P = .01).
b. Centers with onsite radiation therapy more frequently deliver emergent treatment within 24 hours for patients with spinal cord compression, an emergency condition in which prompt radiation can prevent or minimize long-term neurologic disability (94% vs 70%, respectively; P = .01).
c. Referring practitioners with onsite radiation departments are less likely to report difficulty contacting a radiation oncologist as a barrier to referral for palliative radiotherapy (0% vs 20%, respectively; P = .006).
d. Referring practitioners with onsite radiotherapy report patient travel as a barrier to referral for palliative radiotherapy less frequently (28% vs 71%, respectively; P < .001).
e. Practitioners with onsite radiation oncology departments are more likely to have multidisciplinary tumor boards (31% vs 3%, respectively; P = .01) and are more likely to be influenced by radiation oncology recommendations at tumor boards (69% vs 44%, respectively; P = .02).
Based on the findings of this study, the VHA Palliative Radiotherapy Taskforce has prepared this consensus statement regarding the importance of onsite radiation oncology departments at VHA medical centers. More information regarding our 5 key findings and their implications for patient care are as follows:
Timeliness of Radiation Oncology Consultation
Delays in radiation oncology consultation, which can also delay treatment initiation, are associated with poor satisfaction among both patients and referring clinicians.4 Wait times have been identified as a barrier to utilization of radiotherapy by both patients and clinicians.5,6 Furthermore, delays in initiation of definitive therapy have been associated with worse outcomes, including worse overall survival.7,8 Our survey study demonstrates that consults for palliative radiotherapy are occurring in a more timely manner at centers with onsite radiation departments. Radiation oncology consults are more frequently completed within 1 week at centers with onsite radiation oncology departments compared with centers without onsite radiation oncology departments (68% vs 31%, P = .01). This trend would likely be seen for nonpalliative, definitive cases as well. The presence of radiation oncology departments onsite at VHA medical centers is an important component of timely care for veterans to optimize outcomes of cancer treatment.
Timely Delivery of Radiotherapy for Oncologic Emergencies
There are a few scenarios in which emergent radiation treatment, within 24 hours, is indicated. These include malignant spinal cord compression, uncal herniation from brain metastasis, superior vena cava syndrome, and tumor hemorrhage.9 Studies on management of metastatic spinal cord compression demonstrate that delays in treatment are associated with reduced ambulation10 as well as loss of sphincter function and incontinence.11
Our study demonstrates that VHA medical centers with onsite radiotherapy more frequently deliver radiotherapy within 24 hours for patients with metastatic spinal cord compression. This timely delivery of treatment is critical to optimizing functional status and quality of life in patients requiring treatment for oncologic emergencies. Revisiting treatment pathways for such situations at regular intervals is crucial given that residents and staff may rotate and be unfamiliar with emergency protocols.
Communication With Radiation Oncologists
Several studies have demonstrated that the inability to contact a radiation oncologist and poor communication result in decreased referrals for palliative radiotherapy.12,13 Our study demonstrates that onsite radiation oncology is associated with improved ability to contact a radiation oncologist. About 20% of clinicians at facilities without onsite radiation oncology reported difficulty contacting a radiation oncologist, compared with 0% at facilities with onsite radiation departments (P = .006).
It is possible that increased radiation oncology presence at VHA medical centers, through attenuation of barriers related to contacting a radiation oncologist and improved communication, would lead to increased use of radiotherapy. Increased communication between referring clinicians and radiation oncologists also can help with education of those clinicians making the referral. Since knowledge gaps have been identified in multiple studies as a barrier to referral for radiotherapy, such communication and increased education on the role of radiotherapy could increase use.12-14
Patient Travel
Patient ability to travel was the most commonly reported barrier (81%) to referral for palliative radiotherapy in our study. Travel time and transportation difficulties have been established in multiple studies as barriers to radiotherapy for both definitive and palliative management.15-18 Travel for radiotherapy was much less frequently reported as a barrier among respondents with onsite radiation oncology departments compared with those without onsite radiation departments (28% vs 71%, respectively; P < .001).
It is therefore possible that expansion of VHA radiation oncology services, allowing for provision of onsite radiotherapy at more VHA facilities, would reduce travel burden. Increasing travel accommodations for patients and provision of patient lodging on hospital campuses, which is already offered at some VHA medical centers (ie, Fisher House Foundation), could also help attenuate this barrier.
Multidisciplinary Tumor Boards
Our study demonstrates that centers with onsite radiation departments more frequently hold multidisciplinary tumor boards compared with centers without radiation departments (31% vs 3%, respectively; P = .01). Multidisciplinary tumor boards allow subspecialties to meet regularly to communicate about patient care and can help mitigate barriers related to communication and education of the referring health care practitioners.
As cases are discussed in multidisciplinary tumor boards, health care practitioners have the opportunity to make recommendations and provide education on potential benefits and/or downsides of treatments offered by their respective specialties. Several studies have demonstrated that cases discussed at multidisciplinary tumor boards are more likely to be referred for radiation therapy.19-21 Furthermore, multidisciplinary tumor boards have been associated with improved treatment outcomes.22
Conclusions
In this consensus statement the VHA Palliative Radiotherapy Taskforce recommends the optimization of use of radiotherapy within the VHA. Radiation oncology services should be maintained where present in the VHA, with consideration for expansion of services to additional facilities. Telehealth should be used to expedite consults and treatment. Hypofractionation should be used, when appropriate, to ease travel burden. Options for transportation services and onsite housing, or hospitalization, should be understood by practitioners and offered to patients to mitigate barriers related to travel.
Radiation therapy, along with surgery and systemic therapy, is a primary therapeutic modality for cancer management. At least half of cancer patients receive radiation as part of their treatment regimen.1 Multiple studies demonstrate that radiotherapy is underutilized worldwide.2 One reason for underutilization of radiotherapy globally is poor access to this treatment modality. Factors that contribute to poor access include long wait times for consultation, delays in treatment initiation, distance to a treatment facility, and poor coordination of care.
Taskforce Findings
The presence of onsite radiation oncology and its impact on utilization of radiotherapy is poorly studied. The Veterans Health Administration (VHA) Palliative Radiotherapy Taskforce recently conducted a survey to determine the barriers to referral and timeliness of treatment for palliative radiotherapy within the VHA.3 Key findings of this study comparing centers with onsite radiation departments with centers without onsite radiation departments include:
a. Radiation consults are more likely to be completed within 1 week of consult request at centers with onsite radiation therapy (68% vs 31%, respectively; P = .01).
b. Centers with onsite radiation therapy more frequently deliver emergent treatment within 24 hours for patients with spinal cord compression, an emergency condition in which prompt radiation can prevent or minimize long-term neurologic disability (94% vs 70%, respectively; P = .01).
c. Referring practitioners with onsite radiation departments are less likely to report difficulty contacting a radiation oncologist as a barrier to referral for palliative radiotherapy (0% vs 20%, respectively; P = .006).
d. Referring practitioners with onsite radiotherapy report patient travel as a barrier to referral for palliative radiotherapy less frequently (28% vs 71%, respectively; P < .001).
e. Practitioners with onsite radiation oncology departments are more likely to have multidisciplinary tumor boards (31% vs 3%, respectively; P = .01) and are more likely to be influenced by radiation oncology recommendations at tumor boards (69% vs 44%, respectively; P = .02).
Based on the findings of this study, the VHA Palliative Radiotherapy Taskforce has prepared this consensus statement regarding the importance of onsite radiation oncology departments at VHA medical centers. More information regarding our 5 key findings and their implications for patient care are as follows:
Timeliness of Radiation Oncology Consultation
Delays in radiation oncology consultation, which can also delay treatment initiation, are associated with poor satisfaction among both patients and referring clinicians.4 Wait times have been identified as a barrier to utilization of radiotherapy by both patients and clinicians.5,6 Furthermore, delays in initiation of definitive therapy have been associated with worse outcomes, including worse overall survival.7,8 Our survey study demonstrates that consults for palliative radiotherapy are occurring in a more timely manner at centers with onsite radiation departments. Radiation oncology consults are more frequently completed within 1 week at centers with onsite radiation oncology departments compared with centers without onsite radiation oncology departments (68% vs 31%, P = .01). This trend would likely be seen for nonpalliative, definitive cases as well. The presence of radiation oncology departments onsite at VHA medical centers is an important component of timely care for veterans to optimize outcomes of cancer treatment.
Timely Delivery of Radiotherapy for Oncologic Emergencies
There are a few scenarios in which emergent radiation treatment, within 24 hours, is indicated. These include malignant spinal cord compression, uncal herniation from brain metastasis, superior vena cava syndrome, and tumor hemorrhage.9 Studies on management of metastatic spinal cord compression demonstrate that delays in treatment are associated with reduced ambulation10 as well as loss of sphincter function and incontinence.11
Our study demonstrates that VHA medical centers with onsite radiotherapy more frequently deliver radiotherapy within 24 hours for patients with metastatic spinal cord compression. This timely delivery of treatment is critical to optimizing functional status and quality of life in patients requiring treatment for oncologic emergencies. Revisiting treatment pathways for such situations at regular intervals is crucial given that residents and staff may rotate and be unfamiliar with emergency protocols.
Communication With Radiation Oncologists
Several studies have demonstrated that the inability to contact a radiation oncologist and poor communication result in decreased referrals for palliative radiotherapy.12,13 Our study demonstrates that onsite radiation oncology is associated with improved ability to contact a radiation oncologist. About 20% of clinicians at facilities without onsite radiation oncology reported difficulty contacting a radiation oncologist, compared with 0% at facilities with onsite radiation departments (P = .006).
It is possible that increased radiation oncology presence at VHA medical centers, through attenuation of barriers related to contacting a radiation oncologist and improved communication, would lead to increased use of radiotherapy. Increased communication between referring clinicians and radiation oncologists also can help with education of those clinicians making the referral. Since knowledge gaps have been identified in multiple studies as a barrier to referral for radiotherapy, such communication and increased education on the role of radiotherapy could increase use.12-14
Patient Travel
Patient ability to travel was the most commonly reported barrier (81%) to referral for palliative radiotherapy in our study. Travel time and transportation difficulties have been established in multiple studies as barriers to radiotherapy for both definitive and palliative management.15-18 Travel for radiotherapy was much less frequently reported as a barrier among respondents with onsite radiation oncology departments compared with those without onsite radiation departments (28% vs 71%, respectively; P < .001).
It is therefore possible that expansion of VHA radiation oncology services, allowing for provision of onsite radiotherapy at more VHA facilities, would reduce travel burden. Increasing travel accommodations for patients and provision of patient lodging on hospital campuses, which is already offered at some VHA medical centers (ie, Fisher House Foundation), could also help attenuate this barrier.
Multidisciplinary Tumor Boards
Our study demonstrates that centers with onsite radiation departments more frequently hold multidisciplinary tumor boards compared with centers without radiation departments (31% vs 3%, respectively; P = .01). Multidisciplinary tumor boards allow subspecialties to meet regularly to communicate about patient care and can help mitigate barriers related to communication and education of the referring health care practitioners.
As cases are discussed in multidisciplinary tumor boards, health care practitioners have the opportunity to make recommendations and provide education on potential benefits and/or downsides of treatments offered by their respective specialties. Several studies have demonstrated that cases discussed at multidisciplinary tumor boards are more likely to be referred for radiation therapy.19-21 Furthermore, multidisciplinary tumor boards have been associated with improved treatment outcomes.22
Conclusions
In this consensus statement the VHA Palliative Radiotherapy Taskforce recommends the optimization of use of radiotherapy within the VHA. Radiation oncology services should be maintained where present in the VHA, with consideration for expansion of services to additional facilities. Telehealth should be used to expedite consults and treatment. Hypofractionation should be used, when appropriate, to ease travel burden. Options for transportation services and onsite housing, or hospitalization, should be understood by practitioners and offered to patients to mitigate barriers related to travel.
1. Barton MB, Jacob S, Shafiq J, et al. Estimating the demand for radiotherapy from the evidence: a review of changes from 2003 to 2012. Radiother Oncol. 2014;112(1):140-144. doi:10.1016/j.radonc.2014.03.024
2. Atun R, Jaffray DA, Barton MB, et al. Expanding global access to radiotherapy. Lancet Oncol. 2015;16(10):1153-1186. doi:10.1016/S1470-2045(15)00222-3
3. Gutt R, Malhotra S, Hagan MP, et al. Palliative radiotherapy within the Veterans Health Administration: barriers to referral and timeliness of treatment. JCO Oncol Pract. 2021;17(12):e1913-e1922. doi:10.1200/OP.20.00981
4. Agazaryan N, Chow P, Lamb J, et al. The timeliness initiative: continuous process improvement for prompt initiation of radiation therapy treatment. Adv Radiat Oncol. 2020;5(5):1014-1021. Published 2020 Mar 10. doi:10.1016/j.adro.2020.01.007
5. Gillan C, Briggs K, Goytisolo Pazos A, et al. Barriers to accessing radiation therapy in Canada: a systematic review. Radiat Oncol. 2012;7:167. Published 2012 Oct 12. doi:10.1186/1748-717X-7-167
6. Hanna TP, Richardson H, Peng Y, Kong W, Zhang-Salomons J, Mackillop WJ. A population-based study of factors affecting the use of radiotherapy for endometrial cancer. Clin Oncol (R Coll Radiol). 2012;24(8):e113-e124. doi:10.1016/j.clon.2012.01.007
7. Ho AS, Kim S, Tighiouart M, et al. Quantitative survival impact of composite treatment delays in head and neck cancer. Cancer. 2018;124(15):3154-3162. doi:10.1002/cncr.31533
8. Cone EB, Marchese M, Paciotti M, et al. Assessment of time-to-treatment initiation and survival in a cohort of patients with common cancers. JAMA Netw Open. 2020;3(12):e2030072. Published 2020 Dec 1. doi:10.1001/jamanetworkopen.2020.30072
9. Mitera G, Swaminath A, Wong S, et al. Radiotherapy for oncologic emergencies on weekends: examining reasons for treatment and patterns of practice at a Canadian cancer centre. Curr Oncol. 2009;16(4):55-60. doi:10.3747/co.v16i4.352
10. Laufer I, Zuckerman SL, Bird JE, et al. Predicting neurologic recovery after surgery in patients with deficits secondary to MESCC: systematic review. Spine (Phila Pa 1976). 2016;41 (Suppl 20):S224-S230. doi:10.1097/BRS.0000000000001827
11. Husband DJ. Malignant spinal cord compression: prospective study of delays in referral and treatment. BMJ. 1998;317(7150):18-21. doi:10.1136/bmj.317.7150.18
12. Samant RS, Fitzgibbon E, Meng J, Graham ID. Family physicians’ perspectives regarding palliative radiotherapy. Radiother Oncol. 2006;78(1):101-106. doi:10.1016/j.radonc.2005.11.008
13. McCloskey SA, Tao ML, Rose CM, Fink A, Amadeo AM. National survey of perspectives of palliative radiation therapy: role, barriers, and needs. Cancer J. 2007;13(2):130-137. doi:10.1097/PPO.0b013e31804675d4
14. Chierchini S, Ingrosso G, Saldi S, Stracci F, Aristei C. Physician and patient barriers to radiotherapy service access: treatment referral implications. Cancer Manag Res. 2019;11:8829-8833. Published 2019 Oct 7. doi:10.2147/CMAR.S168941
15. Longacre CF, Neprash HT, Shippee ND, Tuttle TM, Virnig BA. Travel, treatment choice, and survival among breast cancer patients: a population-based analysis. Womens Health Rep (New Rochelle). 2021;2(1):1-10. Published 2021 Jan 11. doi:10.1089/whr.2020.0094
16. Yang DD, Muralidhar V, Mahal BA, et al. Travel distance as a barrier to receipt of adjuvant radiation therapy after radical Prostatectomy. Am J Clin Oncol. 2018;41(10):953-959. doi:10.1097/COC.0000000000000410
17. Sundaresan P, King M, Stockler M, Costa D, Milross C. Barriers to radiotherapy utilization: Consumer perceptions of issues influencing radiotherapy-related decisions. Asia Pac J Clin Oncol. 2017;13(5):e489-e496. doi:10.1111/ajco.12579
18. Ambroggi M, Biasini C, Del Giovane C, Fornari F, Cavanna L. Distance as a barrier to cancer diagnosis and treatment: review of the literature. Oncologist. 2015;20(12):1378-1385. doi:10.1634/theoncologist.2015-0110
19. Bydder S, Nowak A, Marion K, Phillips M, Atun R. The impact of case discussion at a multidisciplinary team meeting on the treatment and survival of patients with inoperable non-small cell lung cancer. Intern Med J. 2009;39(12):838-841. doi:10.1111/j.1445-5994.2009.02019.x
20. Brännström F, Bjerregaard JK, Winbladh A, et al. Multidisciplinary team conferences promote treatment according to guidelines in rectal cancer. Acta Oncol. 2015;54(4):447-453. doi:10.3109/0284186X.2014.952387
21. Pillay B, Wootten AC, Crowe H, et al. The impact of multidisciplinary team meetings on patient assessment, management and outcomes in oncology settings: A systematic review of the literature. Cancer Treat Rev. 2016;42:56-72. doi:10.1016/j.ctrv.2015.11.007
22. Freytag M, Herrlinger U, Hauser S, et al. Higher number of multidisciplinary tumor board meetings per case leads to improved clinical outcome. BMC Cancer. 2020;20(1):355. Published 2020 Apr 28. doi:10.1186/s12885-020-06809-1
1. Barton MB, Jacob S, Shafiq J, et al. Estimating the demand for radiotherapy from the evidence: a review of changes from 2003 to 2012. Radiother Oncol. 2014;112(1):140-144. doi:10.1016/j.radonc.2014.03.024
2. Atun R, Jaffray DA, Barton MB, et al. Expanding global access to radiotherapy. Lancet Oncol. 2015;16(10):1153-1186. doi:10.1016/S1470-2045(15)00222-3
3. Gutt R, Malhotra S, Hagan MP, et al. Palliative radiotherapy within the Veterans Health Administration: barriers to referral and timeliness of treatment. JCO Oncol Pract. 2021;17(12):e1913-e1922. doi:10.1200/OP.20.00981
4. Agazaryan N, Chow P, Lamb J, et al. The timeliness initiative: continuous process improvement for prompt initiation of radiation therapy treatment. Adv Radiat Oncol. 2020;5(5):1014-1021. Published 2020 Mar 10. doi:10.1016/j.adro.2020.01.007
5. Gillan C, Briggs K, Goytisolo Pazos A, et al. Barriers to accessing radiation therapy in Canada: a systematic review. Radiat Oncol. 2012;7:167. Published 2012 Oct 12. doi:10.1186/1748-717X-7-167
6. Hanna TP, Richardson H, Peng Y, Kong W, Zhang-Salomons J, Mackillop WJ. A population-based study of factors affecting the use of radiotherapy for endometrial cancer. Clin Oncol (R Coll Radiol). 2012;24(8):e113-e124. doi:10.1016/j.clon.2012.01.007
7. Ho AS, Kim S, Tighiouart M, et al. Quantitative survival impact of composite treatment delays in head and neck cancer. Cancer. 2018;124(15):3154-3162. doi:10.1002/cncr.31533
8. Cone EB, Marchese M, Paciotti M, et al. Assessment of time-to-treatment initiation and survival in a cohort of patients with common cancers. JAMA Netw Open. 2020;3(12):e2030072. Published 2020 Dec 1. doi:10.1001/jamanetworkopen.2020.30072
9. Mitera G, Swaminath A, Wong S, et al. Radiotherapy for oncologic emergencies on weekends: examining reasons for treatment and patterns of practice at a Canadian cancer centre. Curr Oncol. 2009;16(4):55-60. doi:10.3747/co.v16i4.352
10. Laufer I, Zuckerman SL, Bird JE, et al. Predicting neurologic recovery after surgery in patients with deficits secondary to MESCC: systematic review. Spine (Phila Pa 1976). 2016;41 (Suppl 20):S224-S230. doi:10.1097/BRS.0000000000001827
11. Husband DJ. Malignant spinal cord compression: prospective study of delays in referral and treatment. BMJ. 1998;317(7150):18-21. doi:10.1136/bmj.317.7150.18
12. Samant RS, Fitzgibbon E, Meng J, Graham ID. Family physicians’ perspectives regarding palliative radiotherapy. Radiother Oncol. 2006;78(1):101-106. doi:10.1016/j.radonc.2005.11.008
13. McCloskey SA, Tao ML, Rose CM, Fink A, Amadeo AM. National survey of perspectives of palliative radiation therapy: role, barriers, and needs. Cancer J. 2007;13(2):130-137. doi:10.1097/PPO.0b013e31804675d4
14. Chierchini S, Ingrosso G, Saldi S, Stracci F, Aristei C. Physician and patient barriers to radiotherapy service access: treatment referral implications. Cancer Manag Res. 2019;11:8829-8833. Published 2019 Oct 7. doi:10.2147/CMAR.S168941
15. Longacre CF, Neprash HT, Shippee ND, Tuttle TM, Virnig BA. Travel, treatment choice, and survival among breast cancer patients: a population-based analysis. Womens Health Rep (New Rochelle). 2021;2(1):1-10. Published 2021 Jan 11. doi:10.1089/whr.2020.0094
16. Yang DD, Muralidhar V, Mahal BA, et al. Travel distance as a barrier to receipt of adjuvant radiation therapy after radical Prostatectomy. Am J Clin Oncol. 2018;41(10):953-959. doi:10.1097/COC.0000000000000410
17. Sundaresan P, King M, Stockler M, Costa D, Milross C. Barriers to radiotherapy utilization: Consumer perceptions of issues influencing radiotherapy-related decisions. Asia Pac J Clin Oncol. 2017;13(5):e489-e496. doi:10.1111/ajco.12579
18. Ambroggi M, Biasini C, Del Giovane C, Fornari F, Cavanna L. Distance as a barrier to cancer diagnosis and treatment: review of the literature. Oncologist. 2015;20(12):1378-1385. doi:10.1634/theoncologist.2015-0110
19. Bydder S, Nowak A, Marion K, Phillips M, Atun R. The impact of case discussion at a multidisciplinary team meeting on the treatment and survival of patients with inoperable non-small cell lung cancer. Intern Med J. 2009;39(12):838-841. doi:10.1111/j.1445-5994.2009.02019.x
20. Brännström F, Bjerregaard JK, Winbladh A, et al. Multidisciplinary team conferences promote treatment according to guidelines in rectal cancer. Acta Oncol. 2015;54(4):447-453. doi:10.3109/0284186X.2014.952387
21. Pillay B, Wootten AC, Crowe H, et al. The impact of multidisciplinary team meetings on patient assessment, management and outcomes in oncology settings: A systematic review of the literature. Cancer Treat Rev. 2016;42:56-72. doi:10.1016/j.ctrv.2015.11.007
22. Freytag M, Herrlinger U, Hauser S, et al. Higher number of multidisciplinary tumor board meetings per case leads to improved clinical outcome. BMC Cancer. 2020;20(1):355. Published 2020 Apr 28. doi:10.1186/s12885-020-06809-1
Agent Orange Exposure, Transformation From MGUS to Multiple Myeloma, and Outcomes in Veterans
Multiple myeloma (MM) accounts for 1% to 2% of all cancers and slightly more than 17% of hematologic malignancies in the United States.1 MM is characterized by the neoplastic proliferation of immunoglobulin (Ig)-producing plasma cells with ≥ 10% clonal plasma cells in the bone marrow or biopsy-proven bony or soft tissue plasmacytoma, plus presence of related organ or tissue impairment or presence of a biomarker associated with near-inevitable progression to end-organ damage.2
Background
Up to 97% of patients with MM will have a monoclonal (M) protein produced and secreted by the malignant plasma cells, which can be detected by protein electrophoresis of the serum and an aliquot of urine from a 24-hour collection combined with immunofixation of the serum and urine. The M protein in MM usually consists of IgG 50% of the time and light chains 16% of the time. Patients who lack detectable M protein are considered to have nonsecretory myeloma. MM presents with end-organ damage, which includes hypercalcemia, renal dysfunction, anemia, or lytic bone lesions. Patients with MM frequently present with renal insufficiency due to cast nephropathy or light chain deposition disease.3
MM is thought to evolve from monoclonal gammopathy of uncertain significance (MGUS), an asymptomatic premalignant stage of clonal plasma cell proliferation with a risk of progression to active myeloma at 1% per year.4,5 Epidemiologic data suggest that people who develop MM have a genetic predisposition, but risk factors may develop or be acquired, such as age, immunosuppression, and environmental exposures. To better assess what causes transformation from MGUS to MM, it is important to identify agents that may cause this second hit.6
In November 1961, President John F. Kennedy authorized the start of Operation Ranch Hand, the US Air Force’s herbicide program during the Vietnam War. Twenty million gallons of various chemicals were sprayed in Vietnam, eastern Laos, and parts of Cambodia to defoliate rural land, depriving guerillas of their support base. Agent Orange (AO) was one of these chemicals; it is a mixed herbicide with traces of dioxin, a compound that has been associated with major health problems among exposed individuals.7 Several studies have evaluated exposure to AO and its potential harmful repercussions. Studies have assessed the link between AO and MGUS as well as AO to various leukemias, such as chronic lymphocytic leukemia.8,9 Other studies have shown the relationship between AO exposure and worse outcomes in persons with MM.10 To date, only a single abstract from a US Department of Veterans Affairs (VA) medical center has investigated the relationships between AO exposure and MGUS, MM, and the rate of transformation. The VA study of patients seen from 2005 to 2015 in Detroit, Michigan, found that AO exposure led to an increase in cumulative incidence rate of MGUS/MM, suggesting possible changes in disease biology and genetics.11
In this study, we aimed to determine the incidence of transformation of MGUS to MM in patients with and without exposure to AO. We then analyzed survival as a function of AO exposure, transformation, and clinical and sociodemographic variables. We also explored the impact of psychosocial variables and hematopoietic stem cell transplantation (HSCT), a standard of treatment for MM.
Methods
This retrospective cohort study assembled electronic health record (EHR) data from the Veterans Health Administration Corporate Data Warehouse (CDW). The VA Central Texas Veterans Healthcare System Institutional Review Board granted a waiver of consent for this record review. Eligible patients were Vietnam-era veterans who were in the military during the time that AO was used (1961-1971). Veterans were included if they were being cared for and received a diagnosis for MGUS or MM between October 1, 2009, and September 30, 2015 (all prevalent cases fiscal years 2010-2015). Cases were excluded if there was illogical death data or if age, race, ethnicity, body mass index (BMI), or prior-year diagnostic data were missing.
Measures
Patients were followed through April 2020. Presence of MGUS was defined by the International Classification of Diseases, Ninth Revision (ICD-9) diagnosis code 273.1. MM was identified by ICD-9 diagnosis codes 203.00, 203.01, and 203.02. The study index date was the earliest date of diagnosis of MGUS or MM in fiscal years 2010-2015. It was suspected that some patients with MM may have had a history of MGUS prior to this period. Therefore, for patients with MM, historical diagnosis of MGUS was extracted going back through the earliest data in the CDW (October 1999). Patients diagnosed with both MGUS and MM were considered transformation patients.
Other measures included age at index date, sex, race, ethnicity, VA priority status (a value 1 to 8 summarizing why the veteran qualified for VA care, such as military service-connected disability or very low income), and AO exposure authenticated per VA enrollment files and disability records. Service years were separated into 1961 to 1968 and 1969 to 1971 to match a change in the formulation of AO associated with decreased carcinogenic effect. Comorbidity data from the year prior to first MGUS/MM diagnosis in the observation period were extracted. Lifestyle factors associated with development of MGUS/MM were determined using the following codes: obesity per BMI calculation or diagnosis (ICD-9, 278.0), tobacco use per diagnosis (ICD-9, 305.1, V15.82), and survival from MGUS/MM diagnosis index date to date of death from any cause. Comorbidity was assessed using ICD-9 diagnosis codes to calculate the Charlson Comorbidity Index (CCI), which includes cardiovascular diseases, diabetes mellitus, liver and kidney diseases, cancers, and metastatic solid tumors. Cancers were omitted from our adapted CCI to avoid collinearity in the multivariable models. The theoretical maximum CCI score in this study was 25.12,13 Additional conditions known to be associated with variation in outcomes among veterans using the VA were indicated, including major depressive disorder, posttraumatic stress disorder (PTSD), alcohol use disorder (AUD), substance use disorder (SUD), and common chronic disease (hypertension, lipid disorders).14
Treatment with autologous HSCT was defined by Current Procedural Terminology and ICD-9 Clinical Modification procedure codes for bone marrow and autologous HSCT occurring at any time in the CDW (eAppendix). Days elapsed from MM diagnosis to HSCT were calculated.
Statistical Analysis
Sample characteristics were represented by frequencies and percentages for categorical variables and means and SDs (or medians and ranges where appropriate) for continuous variables. A χ2 test (or Fisher exact test when cell counts were low) assessed associations in bivariate comparisons. A 2-sample t test (or Wilcoxon rank sum test as appropriate) assessed differences in continuous variables between 2 groups. Kaplan-Meier curves depicted the unadjusted relationship of AO exposure to survival. Cox proportional hazards survival models examined an unadjusted model containing only the AO exposure indicator as a predictor and adjusted models were used for demographic and clinical factors for MGUS and patients with MM separately.
Predictors were age in decades, sex, Hispanic ethnicity, race, nicotine dependence, obesity, overweight, AUD, SUD, major depressive disorder, PTSD, and the adapted CCI. When modeling patients with MM, MGUS was added to the model to identify the transformation group. The interaction of AO with transformation was also analyzed for patients with MM. Results were reported as hazard ratios (HR) with their 95% CI.
Results
We identified 18,215 veterans diagnosed with either MGUS or MM during fiscal years 2010-2015 with 16,366 meeting inclusion criteria. Patients were excluded for missing data on exposure (n = 334), age (n = 12), race (n = 1058), ethnicity (n = 164), diagnosis (n = 47), treatment (n = 56), and BMI (n = 178). All were Vietnam War era veterans; 14 also served in other eras.
The cohort was 98.5% male (Table 1). Twenty-nine percent were Black veterans, 65% were White veterans, and 4% of individuals reported Hispanic ethnicity. Patients had a mean (SD) age of 66.7 (5.9) years (range, 52-96). Most patients were married (58%) or divorced/separated (27%). All were VA priority 1 to 5 (no 6, 7, or 8); 50% were priority 1 with 50% to 100% service-connected disability. Another 29% were eligible for VA care by reason of low income, 17% had 10% to 40% service-connected disability, and 4% were otherwise disabled.
During fiscal years 2010 to 2015, 68% of our cohort had a diagnosis of MGUS (n = 11,112; 9105 had MGUS only), 44% had MM (n = 7261; 5254 had MM only), and 12% of these were transformation patients (n = 2007). AO exposure characterized 3102 MGUS-only patients (34%), 1886 MM-only patients (36%), and 695 transformation patients (35%) (χ2 = 4.92, P = .09). Among 5683 AO-exposed patients, 695 (12.2%) underwent MGUS-to-MM transformation. Among 10,683 nonexposed veterans, 1312 (12.3%) experienced transformation.
Comorbidity in the year leading up to the index MGUS/MM date determined using CCI was a mean (SD) of 1.9 (2.1) (range, 0-14). Among disorders not included in the CCI, 71% were diagnosed with hypertension, 57% with lipid disorders, 22% with nicotine dependence, 14% with major depressive disorder, 13% with PTSD, and 9% with AUD. Overweight (BMI 25 to < 30) and obesity (BMI ≥ 30) were common (35% and 41%, respectively). For 98% of patients, weight was measured within 90 days of their index MGUS/MM date. Most of the cohort (70%) were in Vietnam in 1961 to 1968.
HSCT was provided to 632 patients with MM (8.7%), including 441 patients who were treated after their index date and 219 patients treated before their index date. From fiscal years 2010 to 2015, the median (IQR) number of days from MM index date to HSCT receipt was 349 (243-650) days. Historical HSCT occurred a median (IQR) of 857 (353-1592) days before the index date, per data available back to October 1999; this median suggests long histories of MM in this cohort.
The unadjusted survival model found a very small inverse association of mortality with AO exposure in the total sample, meaning patients with documented AO exposure lived longer (HR, 0.85; 95% CI, 0.81-0.89; Table 2; Figure). Among 11,112 MGUS patients, AO was similarly associated with mortality (HR, 0.79; 95% CI, 0.74-0.84). The effect was also seen among 7269 patients with MM (HR, 0.86; 95% CI, 0.81-0.91).
In the adjusted model of the total sample, the mortality hazard was greater for veterans who were older, with AUD and nicotine dependence, greater comorbidity per the CCI, diagnosis of MM, and transformation from MGUS to MM. Protective effects were noted for AO exposure, female sex, Black race, obesity, overweight, PTSD, and HSCT.
After adjusting for covariates, AO exposure was still associated with lower mortality among 11,112 patients with MGUS (HR, 0.85; 95% CI, 0.80-0.91). Risk factors were older age, nicotine dependence, AUD, the adapted CCI score (HR, 1.23 per point increase in the index; 95% CI, 1.22-1.25), and transformation to MM (HR, 1.76; 95% CI, 1.65-1.88). Additional protective factors were female sex, Black race, obesity, overweight, and PTSD.
After adjusting for covariates and limiting the analytic cohort to MM patients, the effect of AO exposure persisted (HR, 0.89; 95% CI, 0.84-0.95). Mortality risk factors were older age, nicotine dependence, AUD, and higher CCI score. Also protective were female sex, Black race, obesity, overweight, diagnosis of MGUS (transformation), and HSCT.
In the final model on patients with MM, the interaction term of AO exposure with transformation was significant. The combination of AO exposure with MGUS transformation had a greater protective effect than either AO exposure alone or MGUS without prior AO exposure. Additional protective factors were female sex, Black race, obesity, overweight, and HSCT. Older age, AUD, nicotine dependence, and greater comorbidity increased mortality risk.
Disscussion
Elucidating the pathophysiology and risk of transformation from MGUS to MM is an ongoing endeavor, even 35 years after the end of US involvement in the Vietnam War. Our study sought to understand a relationship between AO exposure, risk of MGUS transforming to MM, and associated mortality in US Vietnam War veterans. The rate of transformation (MGUS progressing to active MM) is well cited at 1% per year.15 Here, we found 12% of our cohort had undergone this transformation over 10 years.
Vietnam War era veterans who were exposed to AO during the Operation Ranch Hand period had 2.4 times greater risk of developing MGUS compared with veterans not exposed to AO.8 Our study was not designed to look at this association of AO exposure and MGUS/MM as this was a retrospective review to assess the difference in outcomes based on AO exposure. We found that AO exposure is associated with a decrease in mortality in contrast to a prior study showing worse survival with individuals with AO exposure.10 Another single center study found no association between AO exposure and overall survival, but it did identify an increased risk of progression from MGUS to MM.11 Our study did not show increased risk of transformation but did show positive effect on survival.
Black individuals have twice the risk of developing MM compared with White individuals and are diagnosed at a younger age (66 vs 70 years, respectively).16 Interestingly, Black race was a protective factor in our study. Given the length of time (35 years) elapsed since the Vietnam War ended, it is likely that most vulnerable Black veterans did not survive until our observation period.
HSCT, as expected, was a protective factor for veterans undergoing this treatment modality, but it is unclear why such a small number (8%) underwent HSCT as this is a standard of care in the management of MM. Obesity was also found to be a protective factor in a prior study, which was also seen in our study cohort.8
Limitations
This study was limited by its retrospective review of survivors among the Vietnam-era cohort several decades after the exposure of concern. Clinician notes and full historical data, such as date of onset for any disorder, were unavailable. These data also relied on the practitioners caring for the veterans to make the correct diagnosis with the associated code so that the data could be captured. Neither AO exposure nor diagnoses codes were verified against other sources of data; however, validation studies over the years have supported the accuracy of the diagnosis codes recorded in the VA EHR.
Conclusions
Because AO exposure is a nonmodifiable risk factor, focus should be placed on modifiable risk factors (eg, nicotine dependence, alcohol and substance use disorders, underlying comorbid conditions) as these were associated with worse outcomes. Future studies will look at the correlation of AO exposure, cytogenetics, and clinical outcomes in these veterans to learn how best to identify their disease course and optimize their care in the latter part of their life.
Acknowledgments
This research was supported by the Central Texas Veterans Health Care System and Baylor Scott and White Health, both in Temple and Veterans Affairs Central Western Massachusetts Healthcare System, Leeds.
1. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2018. CA Cancer J Clin. 2018;68(1):7-30. doi:10.3322/caac.21442
2. Rajkumar SV, Dimopoulos MA, Palumbo A, et al. International Myeloma Working Group updated criteria for the diagnosis of multiple myeloma. Lancet Oncol. 2014;15(12):e538-e548. doi:10.1016/S1470-2045(14)70442-5
3. Kyle RA, Gertz MA, Witzig TE, et al. Review of 1027 patients with newly diagnosed multiple myeloma. Mayo Clin Proc. 2003;78(1):21-33. doi:10.4065/78.1.21
4. Kyle RA, Therneau TM, Rajkumar SV, et al. A long-term study of prognosis in monoclonal gammopathy of undetermined significance. N Engl J Med. 2002;346(8):564- 569. doi:10.1056/NEJMoa01133202
5. International Myeloma Foundation. What Are MGUS, smoldering and active myeloma? Updated June 6, 2021. Accessed June 20, 2022. https://www.myeloma .org/what-are-mgus-smm-mm
6. Riedel DA, Pottern LM. The epidemiology of multiple myeloma. Hematol Oncol Clin North Am. 1992;6(2):225-247. doi:10.1016/S0889-8588(18)30341-1
7. Buckingham Jr WA. Operation Ranch Hand: The Air Force and herbicides in southeast Asia, 1961-1971. Washington, DC: Office of Air Force History, United States Air Force; 1982. Accessed June 20, 2022. https://apps.dtic.mil/sti /pdfs/ADA121709.pdf
8. Landgren O, Shim YK, Michalek J, et al. Agent Orange exposure and monoclonal gammopathy of undetermined significance: an Operation Ranch Hand veteran cohort study. JAMA Oncol. 2015;1(8):1061-1068. doi:10.1001/jamaoncol.2015.2938
9. Mescher C, Gilbertson D, Randall NM, et al. The impact of Agent Orange exposure on prognosis and management in patients with chronic lymphocytic leukemia: a National Veteran Affairs Tumor Registry Study. Leuk Lymphoma. 2018;59(6):1348-1355. doi:10.1080/10428194.2017.1375109
10. Callander NS, Freytes CO, Luo S, Carson KR. Previous Agent Orange exposure is correlated with worse outcome in patients with multiple myeloma (MM) [abstract]. Blood. 2015;126(23):4194. doi:10.1182/blood.V126.23.4194.4194
11. Bumma N, Nagasaka M, Kim S, Vankayala HM, Ahmed S, Jasti P. Incidence of monoclonal gammopathy of undetermined significance (MGUS) and subsequent transformation to multiple myeloma (MM) and effect of exposure to Agent Orange (AO): a single center experience from VA Detroit [abstract]. Blood. 2017;130(suppl 1):5383. doi:10.1182/blood.V130.Suppl_1.5383.5383
12. Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40(5):373-383. doi:10.1016/0021-9681(87)90171-8
13. Deyo RA, Cherkin DC, Ciol MA. Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol. 1992;45(6):613-619. doi:10.1016/0895-4356(92)90133-8
14. Copeland LA, Zeber JE, Sako EY, et al. Serious mental illnesses associated with receipt of surgery in retrospective analysis of patients in the Veterans Health Administration. BMC Surg. 2015;15:74. doi:10.1186/s12893-015-0064-7
15. Younes MA, Perez JD, Alirhayim Z, Ochoa C, Patel R, Dabak VS. MGUS Transformation into multiple myeloma in patients with solid organ transplantation [Abstract presented at American Society of Hematology Annual Meeting, November 15, 2013]. Blood. 2013;122(21):5325. doi:10.1182/blood.V122.21.5325.5325
16. Waxman AJ, Mink PJ, Devesa SS, et al. Racial disparities in incidence and outcome in multiple myeloma: a population- based study. Blood. 2010 Dec 16;116(25):5501-5506. doi:10.1182/blood-2010-07-298760
Multiple myeloma (MM) accounts for 1% to 2% of all cancers and slightly more than 17% of hematologic malignancies in the United States.1 MM is characterized by the neoplastic proliferation of immunoglobulin (Ig)-producing plasma cells with ≥ 10% clonal plasma cells in the bone marrow or biopsy-proven bony or soft tissue plasmacytoma, plus presence of related organ or tissue impairment or presence of a biomarker associated with near-inevitable progression to end-organ damage.2
Background
Up to 97% of patients with MM will have a monoclonal (M) protein produced and secreted by the malignant plasma cells, which can be detected by protein electrophoresis of the serum and an aliquot of urine from a 24-hour collection combined with immunofixation of the serum and urine. The M protein in MM usually consists of IgG 50% of the time and light chains 16% of the time. Patients who lack detectable M protein are considered to have nonsecretory myeloma. MM presents with end-organ damage, which includes hypercalcemia, renal dysfunction, anemia, or lytic bone lesions. Patients with MM frequently present with renal insufficiency due to cast nephropathy or light chain deposition disease.3
MM is thought to evolve from monoclonal gammopathy of uncertain significance (MGUS), an asymptomatic premalignant stage of clonal plasma cell proliferation with a risk of progression to active myeloma at 1% per year.4,5 Epidemiologic data suggest that people who develop MM have a genetic predisposition, but risk factors may develop or be acquired, such as age, immunosuppression, and environmental exposures. To better assess what causes transformation from MGUS to MM, it is important to identify agents that may cause this second hit.6
In November 1961, President John F. Kennedy authorized the start of Operation Ranch Hand, the US Air Force’s herbicide program during the Vietnam War. Twenty million gallons of various chemicals were sprayed in Vietnam, eastern Laos, and parts of Cambodia to defoliate rural land, depriving guerillas of their support base. Agent Orange (AO) was one of these chemicals; it is a mixed herbicide with traces of dioxin, a compound that has been associated with major health problems among exposed individuals.7 Several studies have evaluated exposure to AO and its potential harmful repercussions. Studies have assessed the link between AO and MGUS as well as AO to various leukemias, such as chronic lymphocytic leukemia.8,9 Other studies have shown the relationship between AO exposure and worse outcomes in persons with MM.10 To date, only a single abstract from a US Department of Veterans Affairs (VA) medical center has investigated the relationships between AO exposure and MGUS, MM, and the rate of transformation. The VA study of patients seen from 2005 to 2015 in Detroit, Michigan, found that AO exposure led to an increase in cumulative incidence rate of MGUS/MM, suggesting possible changes in disease biology and genetics.11
In this study, we aimed to determine the incidence of transformation of MGUS to MM in patients with and without exposure to AO. We then analyzed survival as a function of AO exposure, transformation, and clinical and sociodemographic variables. We also explored the impact of psychosocial variables and hematopoietic stem cell transplantation (HSCT), a standard of treatment for MM.
Methods
This retrospective cohort study assembled electronic health record (EHR) data from the Veterans Health Administration Corporate Data Warehouse (CDW). The VA Central Texas Veterans Healthcare System Institutional Review Board granted a waiver of consent for this record review. Eligible patients were Vietnam-era veterans who were in the military during the time that AO was used (1961-1971). Veterans were included if they were being cared for and received a diagnosis for MGUS or MM between October 1, 2009, and September 30, 2015 (all prevalent cases fiscal years 2010-2015). Cases were excluded if there was illogical death data or if age, race, ethnicity, body mass index (BMI), or prior-year diagnostic data were missing.
Measures
Patients were followed through April 2020. Presence of MGUS was defined by the International Classification of Diseases, Ninth Revision (ICD-9) diagnosis code 273.1. MM was identified by ICD-9 diagnosis codes 203.00, 203.01, and 203.02. The study index date was the earliest date of diagnosis of MGUS or MM in fiscal years 2010-2015. It was suspected that some patients with MM may have had a history of MGUS prior to this period. Therefore, for patients with MM, historical diagnosis of MGUS was extracted going back through the earliest data in the CDW (October 1999). Patients diagnosed with both MGUS and MM were considered transformation patients.
Other measures included age at index date, sex, race, ethnicity, VA priority status (a value 1 to 8 summarizing why the veteran qualified for VA care, such as military service-connected disability or very low income), and AO exposure authenticated per VA enrollment files and disability records. Service years were separated into 1961 to 1968 and 1969 to 1971 to match a change in the formulation of AO associated with decreased carcinogenic effect. Comorbidity data from the year prior to first MGUS/MM diagnosis in the observation period were extracted. Lifestyle factors associated with development of MGUS/MM were determined using the following codes: obesity per BMI calculation or diagnosis (ICD-9, 278.0), tobacco use per diagnosis (ICD-9, 305.1, V15.82), and survival from MGUS/MM diagnosis index date to date of death from any cause. Comorbidity was assessed using ICD-9 diagnosis codes to calculate the Charlson Comorbidity Index (CCI), which includes cardiovascular diseases, diabetes mellitus, liver and kidney diseases, cancers, and metastatic solid tumors. Cancers were omitted from our adapted CCI to avoid collinearity in the multivariable models. The theoretical maximum CCI score in this study was 25.12,13 Additional conditions known to be associated with variation in outcomes among veterans using the VA were indicated, including major depressive disorder, posttraumatic stress disorder (PTSD), alcohol use disorder (AUD), substance use disorder (SUD), and common chronic disease (hypertension, lipid disorders).14
Treatment with autologous HSCT was defined by Current Procedural Terminology and ICD-9 Clinical Modification procedure codes for bone marrow and autologous HSCT occurring at any time in the CDW (eAppendix). Days elapsed from MM diagnosis to HSCT were calculated.
Statistical Analysis
Sample characteristics were represented by frequencies and percentages for categorical variables and means and SDs (or medians and ranges where appropriate) for continuous variables. A χ2 test (or Fisher exact test when cell counts were low) assessed associations in bivariate comparisons. A 2-sample t test (or Wilcoxon rank sum test as appropriate) assessed differences in continuous variables between 2 groups. Kaplan-Meier curves depicted the unadjusted relationship of AO exposure to survival. Cox proportional hazards survival models examined an unadjusted model containing only the AO exposure indicator as a predictor and adjusted models were used for demographic and clinical factors for MGUS and patients with MM separately.
Predictors were age in decades, sex, Hispanic ethnicity, race, nicotine dependence, obesity, overweight, AUD, SUD, major depressive disorder, PTSD, and the adapted CCI. When modeling patients with MM, MGUS was added to the model to identify the transformation group. The interaction of AO with transformation was also analyzed for patients with MM. Results were reported as hazard ratios (HR) with their 95% CI.
Results
We identified 18,215 veterans diagnosed with either MGUS or MM during fiscal years 2010-2015 with 16,366 meeting inclusion criteria. Patients were excluded for missing data on exposure (n = 334), age (n = 12), race (n = 1058), ethnicity (n = 164), diagnosis (n = 47), treatment (n = 56), and BMI (n = 178). All were Vietnam War era veterans; 14 also served in other eras.
The cohort was 98.5% male (Table 1). Twenty-nine percent were Black veterans, 65% were White veterans, and 4% of individuals reported Hispanic ethnicity. Patients had a mean (SD) age of 66.7 (5.9) years (range, 52-96). Most patients were married (58%) or divorced/separated (27%). All were VA priority 1 to 5 (no 6, 7, or 8); 50% were priority 1 with 50% to 100% service-connected disability. Another 29% were eligible for VA care by reason of low income, 17% had 10% to 40% service-connected disability, and 4% were otherwise disabled.
During fiscal years 2010 to 2015, 68% of our cohort had a diagnosis of MGUS (n = 11,112; 9105 had MGUS only), 44% had MM (n = 7261; 5254 had MM only), and 12% of these were transformation patients (n = 2007). AO exposure characterized 3102 MGUS-only patients (34%), 1886 MM-only patients (36%), and 695 transformation patients (35%) (χ2 = 4.92, P = .09). Among 5683 AO-exposed patients, 695 (12.2%) underwent MGUS-to-MM transformation. Among 10,683 nonexposed veterans, 1312 (12.3%) experienced transformation.
Comorbidity in the year leading up to the index MGUS/MM date determined using CCI was a mean (SD) of 1.9 (2.1) (range, 0-14). Among disorders not included in the CCI, 71% were diagnosed with hypertension, 57% with lipid disorders, 22% with nicotine dependence, 14% with major depressive disorder, 13% with PTSD, and 9% with AUD. Overweight (BMI 25 to < 30) and obesity (BMI ≥ 30) were common (35% and 41%, respectively). For 98% of patients, weight was measured within 90 days of their index MGUS/MM date. Most of the cohort (70%) were in Vietnam in 1961 to 1968.
HSCT was provided to 632 patients with MM (8.7%), including 441 patients who were treated after their index date and 219 patients treated before their index date. From fiscal years 2010 to 2015, the median (IQR) number of days from MM index date to HSCT receipt was 349 (243-650) days. Historical HSCT occurred a median (IQR) of 857 (353-1592) days before the index date, per data available back to October 1999; this median suggests long histories of MM in this cohort.
The unadjusted survival model found a very small inverse association of mortality with AO exposure in the total sample, meaning patients with documented AO exposure lived longer (HR, 0.85; 95% CI, 0.81-0.89; Table 2; Figure). Among 11,112 MGUS patients, AO was similarly associated with mortality (HR, 0.79; 95% CI, 0.74-0.84). The effect was also seen among 7269 patients with MM (HR, 0.86; 95% CI, 0.81-0.91).
In the adjusted model of the total sample, the mortality hazard was greater for veterans who were older, with AUD and nicotine dependence, greater comorbidity per the CCI, diagnosis of MM, and transformation from MGUS to MM. Protective effects were noted for AO exposure, female sex, Black race, obesity, overweight, PTSD, and HSCT.
After adjusting for covariates, AO exposure was still associated with lower mortality among 11,112 patients with MGUS (HR, 0.85; 95% CI, 0.80-0.91). Risk factors were older age, nicotine dependence, AUD, the adapted CCI score (HR, 1.23 per point increase in the index; 95% CI, 1.22-1.25), and transformation to MM (HR, 1.76; 95% CI, 1.65-1.88). Additional protective factors were female sex, Black race, obesity, overweight, and PTSD.
After adjusting for covariates and limiting the analytic cohort to MM patients, the effect of AO exposure persisted (HR, 0.89; 95% CI, 0.84-0.95). Mortality risk factors were older age, nicotine dependence, AUD, and higher CCI score. Also protective were female sex, Black race, obesity, overweight, diagnosis of MGUS (transformation), and HSCT.
In the final model on patients with MM, the interaction term of AO exposure with transformation was significant. The combination of AO exposure with MGUS transformation had a greater protective effect than either AO exposure alone or MGUS without prior AO exposure. Additional protective factors were female sex, Black race, obesity, overweight, and HSCT. Older age, AUD, nicotine dependence, and greater comorbidity increased mortality risk.
Disscussion
Elucidating the pathophysiology and risk of transformation from MGUS to MM is an ongoing endeavor, even 35 years after the end of US involvement in the Vietnam War. Our study sought to understand a relationship between AO exposure, risk of MGUS transforming to MM, and associated mortality in US Vietnam War veterans. The rate of transformation (MGUS progressing to active MM) is well cited at 1% per year.15 Here, we found 12% of our cohort had undergone this transformation over 10 years.
Vietnam War era veterans who were exposed to AO during the Operation Ranch Hand period had 2.4 times greater risk of developing MGUS compared with veterans not exposed to AO.8 Our study was not designed to look at this association of AO exposure and MGUS/MM as this was a retrospective review to assess the difference in outcomes based on AO exposure. We found that AO exposure is associated with a decrease in mortality in contrast to a prior study showing worse survival with individuals with AO exposure.10 Another single center study found no association between AO exposure and overall survival, but it did identify an increased risk of progression from MGUS to MM.11 Our study did not show increased risk of transformation but did show positive effect on survival.
Black individuals have twice the risk of developing MM compared with White individuals and are diagnosed at a younger age (66 vs 70 years, respectively).16 Interestingly, Black race was a protective factor in our study. Given the length of time (35 years) elapsed since the Vietnam War ended, it is likely that most vulnerable Black veterans did not survive until our observation period.
HSCT, as expected, was a protective factor for veterans undergoing this treatment modality, but it is unclear why such a small number (8%) underwent HSCT as this is a standard of care in the management of MM. Obesity was also found to be a protective factor in a prior study, which was also seen in our study cohort.8
Limitations
This study was limited by its retrospective review of survivors among the Vietnam-era cohort several decades after the exposure of concern. Clinician notes and full historical data, such as date of onset for any disorder, were unavailable. These data also relied on the practitioners caring for the veterans to make the correct diagnosis with the associated code so that the data could be captured. Neither AO exposure nor diagnoses codes were verified against other sources of data; however, validation studies over the years have supported the accuracy of the diagnosis codes recorded in the VA EHR.
Conclusions
Because AO exposure is a nonmodifiable risk factor, focus should be placed on modifiable risk factors (eg, nicotine dependence, alcohol and substance use disorders, underlying comorbid conditions) as these were associated with worse outcomes. Future studies will look at the correlation of AO exposure, cytogenetics, and clinical outcomes in these veterans to learn how best to identify their disease course and optimize their care in the latter part of their life.
Acknowledgments
This research was supported by the Central Texas Veterans Health Care System and Baylor Scott and White Health, both in Temple and Veterans Affairs Central Western Massachusetts Healthcare System, Leeds.
Multiple myeloma (MM) accounts for 1% to 2% of all cancers and slightly more than 17% of hematologic malignancies in the United States.1 MM is characterized by the neoplastic proliferation of immunoglobulin (Ig)-producing plasma cells with ≥ 10% clonal plasma cells in the bone marrow or biopsy-proven bony or soft tissue plasmacytoma, plus presence of related organ or tissue impairment or presence of a biomarker associated with near-inevitable progression to end-organ damage.2
Background
Up to 97% of patients with MM will have a monoclonal (M) protein produced and secreted by the malignant plasma cells, which can be detected by protein electrophoresis of the serum and an aliquot of urine from a 24-hour collection combined with immunofixation of the serum and urine. The M protein in MM usually consists of IgG 50% of the time and light chains 16% of the time. Patients who lack detectable M protein are considered to have nonsecretory myeloma. MM presents with end-organ damage, which includes hypercalcemia, renal dysfunction, anemia, or lytic bone lesions. Patients with MM frequently present with renal insufficiency due to cast nephropathy or light chain deposition disease.3
MM is thought to evolve from monoclonal gammopathy of uncertain significance (MGUS), an asymptomatic premalignant stage of clonal plasma cell proliferation with a risk of progression to active myeloma at 1% per year.4,5 Epidemiologic data suggest that people who develop MM have a genetic predisposition, but risk factors may develop or be acquired, such as age, immunosuppression, and environmental exposures. To better assess what causes transformation from MGUS to MM, it is important to identify agents that may cause this second hit.6
In November 1961, President John F. Kennedy authorized the start of Operation Ranch Hand, the US Air Force’s herbicide program during the Vietnam War. Twenty million gallons of various chemicals were sprayed in Vietnam, eastern Laos, and parts of Cambodia to defoliate rural land, depriving guerillas of their support base. Agent Orange (AO) was one of these chemicals; it is a mixed herbicide with traces of dioxin, a compound that has been associated with major health problems among exposed individuals.7 Several studies have evaluated exposure to AO and its potential harmful repercussions. Studies have assessed the link between AO and MGUS as well as AO to various leukemias, such as chronic lymphocytic leukemia.8,9 Other studies have shown the relationship between AO exposure and worse outcomes in persons with MM.10 To date, only a single abstract from a US Department of Veterans Affairs (VA) medical center has investigated the relationships between AO exposure and MGUS, MM, and the rate of transformation. The VA study of patients seen from 2005 to 2015 in Detroit, Michigan, found that AO exposure led to an increase in cumulative incidence rate of MGUS/MM, suggesting possible changes in disease biology and genetics.11
In this study, we aimed to determine the incidence of transformation of MGUS to MM in patients with and without exposure to AO. We then analyzed survival as a function of AO exposure, transformation, and clinical and sociodemographic variables. We also explored the impact of psychosocial variables and hematopoietic stem cell transplantation (HSCT), a standard of treatment for MM.
Methods
This retrospective cohort study assembled electronic health record (EHR) data from the Veterans Health Administration Corporate Data Warehouse (CDW). The VA Central Texas Veterans Healthcare System Institutional Review Board granted a waiver of consent for this record review. Eligible patients were Vietnam-era veterans who were in the military during the time that AO was used (1961-1971). Veterans were included if they were being cared for and received a diagnosis for MGUS or MM between October 1, 2009, and September 30, 2015 (all prevalent cases fiscal years 2010-2015). Cases were excluded if there was illogical death data or if age, race, ethnicity, body mass index (BMI), or prior-year diagnostic data were missing.
Measures
Patients were followed through April 2020. Presence of MGUS was defined by the International Classification of Diseases, Ninth Revision (ICD-9) diagnosis code 273.1. MM was identified by ICD-9 diagnosis codes 203.00, 203.01, and 203.02. The study index date was the earliest date of diagnosis of MGUS or MM in fiscal years 2010-2015. It was suspected that some patients with MM may have had a history of MGUS prior to this period. Therefore, for patients with MM, historical diagnosis of MGUS was extracted going back through the earliest data in the CDW (October 1999). Patients diagnosed with both MGUS and MM were considered transformation patients.
Other measures included age at index date, sex, race, ethnicity, VA priority status (a value 1 to 8 summarizing why the veteran qualified for VA care, such as military service-connected disability or very low income), and AO exposure authenticated per VA enrollment files and disability records. Service years were separated into 1961 to 1968 and 1969 to 1971 to match a change in the formulation of AO associated with decreased carcinogenic effect. Comorbidity data from the year prior to first MGUS/MM diagnosis in the observation period were extracted. Lifestyle factors associated with development of MGUS/MM were determined using the following codes: obesity per BMI calculation or diagnosis (ICD-9, 278.0), tobacco use per diagnosis (ICD-9, 305.1, V15.82), and survival from MGUS/MM diagnosis index date to date of death from any cause. Comorbidity was assessed using ICD-9 diagnosis codes to calculate the Charlson Comorbidity Index (CCI), which includes cardiovascular diseases, diabetes mellitus, liver and kidney diseases, cancers, and metastatic solid tumors. Cancers were omitted from our adapted CCI to avoid collinearity in the multivariable models. The theoretical maximum CCI score in this study was 25.12,13 Additional conditions known to be associated with variation in outcomes among veterans using the VA were indicated, including major depressive disorder, posttraumatic stress disorder (PTSD), alcohol use disorder (AUD), substance use disorder (SUD), and common chronic disease (hypertension, lipid disorders).14
Treatment with autologous HSCT was defined by Current Procedural Terminology and ICD-9 Clinical Modification procedure codes for bone marrow and autologous HSCT occurring at any time in the CDW (eAppendix). Days elapsed from MM diagnosis to HSCT were calculated.
Statistical Analysis
Sample characteristics were represented by frequencies and percentages for categorical variables and means and SDs (or medians and ranges where appropriate) for continuous variables. A χ2 test (or Fisher exact test when cell counts were low) assessed associations in bivariate comparisons. A 2-sample t test (or Wilcoxon rank sum test as appropriate) assessed differences in continuous variables between 2 groups. Kaplan-Meier curves depicted the unadjusted relationship of AO exposure to survival. Cox proportional hazards survival models examined an unadjusted model containing only the AO exposure indicator as a predictor and adjusted models were used for demographic and clinical factors for MGUS and patients with MM separately.
Predictors were age in decades, sex, Hispanic ethnicity, race, nicotine dependence, obesity, overweight, AUD, SUD, major depressive disorder, PTSD, and the adapted CCI. When modeling patients with MM, MGUS was added to the model to identify the transformation group. The interaction of AO with transformation was also analyzed for patients with MM. Results were reported as hazard ratios (HR) with their 95% CI.
Results
We identified 18,215 veterans diagnosed with either MGUS or MM during fiscal years 2010-2015 with 16,366 meeting inclusion criteria. Patients were excluded for missing data on exposure (n = 334), age (n = 12), race (n = 1058), ethnicity (n = 164), diagnosis (n = 47), treatment (n = 56), and BMI (n = 178). All were Vietnam War era veterans; 14 also served in other eras.
The cohort was 98.5% male (Table 1). Twenty-nine percent were Black veterans, 65% were White veterans, and 4% of individuals reported Hispanic ethnicity. Patients had a mean (SD) age of 66.7 (5.9) years (range, 52-96). Most patients were married (58%) or divorced/separated (27%). All were VA priority 1 to 5 (no 6, 7, or 8); 50% were priority 1 with 50% to 100% service-connected disability. Another 29% were eligible for VA care by reason of low income, 17% had 10% to 40% service-connected disability, and 4% were otherwise disabled.
During fiscal years 2010 to 2015, 68% of our cohort had a diagnosis of MGUS (n = 11,112; 9105 had MGUS only), 44% had MM (n = 7261; 5254 had MM only), and 12% of these were transformation patients (n = 2007). AO exposure characterized 3102 MGUS-only patients (34%), 1886 MM-only patients (36%), and 695 transformation patients (35%) (χ2 = 4.92, P = .09). Among 5683 AO-exposed patients, 695 (12.2%) underwent MGUS-to-MM transformation. Among 10,683 nonexposed veterans, 1312 (12.3%) experienced transformation.
Comorbidity in the year leading up to the index MGUS/MM date determined using CCI was a mean (SD) of 1.9 (2.1) (range, 0-14). Among disorders not included in the CCI, 71% were diagnosed with hypertension, 57% with lipid disorders, 22% with nicotine dependence, 14% with major depressive disorder, 13% with PTSD, and 9% with AUD. Overweight (BMI 25 to < 30) and obesity (BMI ≥ 30) were common (35% and 41%, respectively). For 98% of patients, weight was measured within 90 days of their index MGUS/MM date. Most of the cohort (70%) were in Vietnam in 1961 to 1968.
HSCT was provided to 632 patients with MM (8.7%), including 441 patients who were treated after their index date and 219 patients treated before their index date. From fiscal years 2010 to 2015, the median (IQR) number of days from MM index date to HSCT receipt was 349 (243-650) days. Historical HSCT occurred a median (IQR) of 857 (353-1592) days before the index date, per data available back to October 1999; this median suggests long histories of MM in this cohort.
The unadjusted survival model found a very small inverse association of mortality with AO exposure in the total sample, meaning patients with documented AO exposure lived longer (HR, 0.85; 95% CI, 0.81-0.89; Table 2; Figure). Among 11,112 MGUS patients, AO was similarly associated with mortality (HR, 0.79; 95% CI, 0.74-0.84). The effect was also seen among 7269 patients with MM (HR, 0.86; 95% CI, 0.81-0.91).
In the adjusted model of the total sample, the mortality hazard was greater for veterans who were older, with AUD and nicotine dependence, greater comorbidity per the CCI, diagnosis of MM, and transformation from MGUS to MM. Protective effects were noted for AO exposure, female sex, Black race, obesity, overweight, PTSD, and HSCT.
After adjusting for covariates, AO exposure was still associated with lower mortality among 11,112 patients with MGUS (HR, 0.85; 95% CI, 0.80-0.91). Risk factors were older age, nicotine dependence, AUD, the adapted CCI score (HR, 1.23 per point increase in the index; 95% CI, 1.22-1.25), and transformation to MM (HR, 1.76; 95% CI, 1.65-1.88). Additional protective factors were female sex, Black race, obesity, overweight, and PTSD.
After adjusting for covariates and limiting the analytic cohort to MM patients, the effect of AO exposure persisted (HR, 0.89; 95% CI, 0.84-0.95). Mortality risk factors were older age, nicotine dependence, AUD, and higher CCI score. Also protective were female sex, Black race, obesity, overweight, diagnosis of MGUS (transformation), and HSCT.
In the final model on patients with MM, the interaction term of AO exposure with transformation was significant. The combination of AO exposure with MGUS transformation had a greater protective effect than either AO exposure alone or MGUS without prior AO exposure. Additional protective factors were female sex, Black race, obesity, overweight, and HSCT. Older age, AUD, nicotine dependence, and greater comorbidity increased mortality risk.
Disscussion
Elucidating the pathophysiology and risk of transformation from MGUS to MM is an ongoing endeavor, even 35 years after the end of US involvement in the Vietnam War. Our study sought to understand a relationship between AO exposure, risk of MGUS transforming to MM, and associated mortality in US Vietnam War veterans. The rate of transformation (MGUS progressing to active MM) is well cited at 1% per year.15 Here, we found 12% of our cohort had undergone this transformation over 10 years.
Vietnam War era veterans who were exposed to AO during the Operation Ranch Hand period had 2.4 times greater risk of developing MGUS compared with veterans not exposed to AO.8 Our study was not designed to look at this association of AO exposure and MGUS/MM as this was a retrospective review to assess the difference in outcomes based on AO exposure. We found that AO exposure is associated with a decrease in mortality in contrast to a prior study showing worse survival with individuals with AO exposure.10 Another single center study found no association between AO exposure and overall survival, but it did identify an increased risk of progression from MGUS to MM.11 Our study did not show increased risk of transformation but did show positive effect on survival.
Black individuals have twice the risk of developing MM compared with White individuals and are diagnosed at a younger age (66 vs 70 years, respectively).16 Interestingly, Black race was a protective factor in our study. Given the length of time (35 years) elapsed since the Vietnam War ended, it is likely that most vulnerable Black veterans did not survive until our observation period.
HSCT, as expected, was a protective factor for veterans undergoing this treatment modality, but it is unclear why such a small number (8%) underwent HSCT as this is a standard of care in the management of MM. Obesity was also found to be a protective factor in a prior study, which was also seen in our study cohort.8
Limitations
This study was limited by its retrospective review of survivors among the Vietnam-era cohort several decades after the exposure of concern. Clinician notes and full historical data, such as date of onset for any disorder, were unavailable. These data also relied on the practitioners caring for the veterans to make the correct diagnosis with the associated code so that the data could be captured. Neither AO exposure nor diagnoses codes were verified against other sources of data; however, validation studies over the years have supported the accuracy of the diagnosis codes recorded in the VA EHR.
Conclusions
Because AO exposure is a nonmodifiable risk factor, focus should be placed on modifiable risk factors (eg, nicotine dependence, alcohol and substance use disorders, underlying comorbid conditions) as these were associated with worse outcomes. Future studies will look at the correlation of AO exposure, cytogenetics, and clinical outcomes in these veterans to learn how best to identify their disease course and optimize their care in the latter part of their life.
Acknowledgments
This research was supported by the Central Texas Veterans Health Care System and Baylor Scott and White Health, both in Temple and Veterans Affairs Central Western Massachusetts Healthcare System, Leeds.
1. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2018. CA Cancer J Clin. 2018;68(1):7-30. doi:10.3322/caac.21442
2. Rajkumar SV, Dimopoulos MA, Palumbo A, et al. International Myeloma Working Group updated criteria for the diagnosis of multiple myeloma. Lancet Oncol. 2014;15(12):e538-e548. doi:10.1016/S1470-2045(14)70442-5
3. Kyle RA, Gertz MA, Witzig TE, et al. Review of 1027 patients with newly diagnosed multiple myeloma. Mayo Clin Proc. 2003;78(1):21-33. doi:10.4065/78.1.21
4. Kyle RA, Therneau TM, Rajkumar SV, et al. A long-term study of prognosis in monoclonal gammopathy of undetermined significance. N Engl J Med. 2002;346(8):564- 569. doi:10.1056/NEJMoa01133202
5. International Myeloma Foundation. What Are MGUS, smoldering and active myeloma? Updated June 6, 2021. Accessed June 20, 2022. https://www.myeloma .org/what-are-mgus-smm-mm
6. Riedel DA, Pottern LM. The epidemiology of multiple myeloma. Hematol Oncol Clin North Am. 1992;6(2):225-247. doi:10.1016/S0889-8588(18)30341-1
7. Buckingham Jr WA. Operation Ranch Hand: The Air Force and herbicides in southeast Asia, 1961-1971. Washington, DC: Office of Air Force History, United States Air Force; 1982. Accessed June 20, 2022. https://apps.dtic.mil/sti /pdfs/ADA121709.pdf
8. Landgren O, Shim YK, Michalek J, et al. Agent Orange exposure and monoclonal gammopathy of undetermined significance: an Operation Ranch Hand veteran cohort study. JAMA Oncol. 2015;1(8):1061-1068. doi:10.1001/jamaoncol.2015.2938
9. Mescher C, Gilbertson D, Randall NM, et al. The impact of Agent Orange exposure on prognosis and management in patients with chronic lymphocytic leukemia: a National Veteran Affairs Tumor Registry Study. Leuk Lymphoma. 2018;59(6):1348-1355. doi:10.1080/10428194.2017.1375109
10. Callander NS, Freytes CO, Luo S, Carson KR. Previous Agent Orange exposure is correlated with worse outcome in patients with multiple myeloma (MM) [abstract]. Blood. 2015;126(23):4194. doi:10.1182/blood.V126.23.4194.4194
11. Bumma N, Nagasaka M, Kim S, Vankayala HM, Ahmed S, Jasti P. Incidence of monoclonal gammopathy of undetermined significance (MGUS) and subsequent transformation to multiple myeloma (MM) and effect of exposure to Agent Orange (AO): a single center experience from VA Detroit [abstract]. Blood. 2017;130(suppl 1):5383. doi:10.1182/blood.V130.Suppl_1.5383.5383
12. Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40(5):373-383. doi:10.1016/0021-9681(87)90171-8
13. Deyo RA, Cherkin DC, Ciol MA. Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol. 1992;45(6):613-619. doi:10.1016/0895-4356(92)90133-8
14. Copeland LA, Zeber JE, Sako EY, et al. Serious mental illnesses associated with receipt of surgery in retrospective analysis of patients in the Veterans Health Administration. BMC Surg. 2015;15:74. doi:10.1186/s12893-015-0064-7
15. Younes MA, Perez JD, Alirhayim Z, Ochoa C, Patel R, Dabak VS. MGUS Transformation into multiple myeloma in patients with solid organ transplantation [Abstract presented at American Society of Hematology Annual Meeting, November 15, 2013]. Blood. 2013;122(21):5325. doi:10.1182/blood.V122.21.5325.5325
16. Waxman AJ, Mink PJ, Devesa SS, et al. Racial disparities in incidence and outcome in multiple myeloma: a population- based study. Blood. 2010 Dec 16;116(25):5501-5506. doi:10.1182/blood-2010-07-298760
1. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2018. CA Cancer J Clin. 2018;68(1):7-30. doi:10.3322/caac.21442
2. Rajkumar SV, Dimopoulos MA, Palumbo A, et al. International Myeloma Working Group updated criteria for the diagnosis of multiple myeloma. Lancet Oncol. 2014;15(12):e538-e548. doi:10.1016/S1470-2045(14)70442-5
3. Kyle RA, Gertz MA, Witzig TE, et al. Review of 1027 patients with newly diagnosed multiple myeloma. Mayo Clin Proc. 2003;78(1):21-33. doi:10.4065/78.1.21
4. Kyle RA, Therneau TM, Rajkumar SV, et al. A long-term study of prognosis in monoclonal gammopathy of undetermined significance. N Engl J Med. 2002;346(8):564- 569. doi:10.1056/NEJMoa01133202
5. International Myeloma Foundation. What Are MGUS, smoldering and active myeloma? Updated June 6, 2021. Accessed June 20, 2022. https://www.myeloma .org/what-are-mgus-smm-mm
6. Riedel DA, Pottern LM. The epidemiology of multiple myeloma. Hematol Oncol Clin North Am. 1992;6(2):225-247. doi:10.1016/S0889-8588(18)30341-1
7. Buckingham Jr WA. Operation Ranch Hand: The Air Force and herbicides in southeast Asia, 1961-1971. Washington, DC: Office of Air Force History, United States Air Force; 1982. Accessed June 20, 2022. https://apps.dtic.mil/sti /pdfs/ADA121709.pdf
8. Landgren O, Shim YK, Michalek J, et al. Agent Orange exposure and monoclonal gammopathy of undetermined significance: an Operation Ranch Hand veteran cohort study. JAMA Oncol. 2015;1(8):1061-1068. doi:10.1001/jamaoncol.2015.2938
9. Mescher C, Gilbertson D, Randall NM, et al. The impact of Agent Orange exposure on prognosis and management in patients with chronic lymphocytic leukemia: a National Veteran Affairs Tumor Registry Study. Leuk Lymphoma. 2018;59(6):1348-1355. doi:10.1080/10428194.2017.1375109
10. Callander NS, Freytes CO, Luo S, Carson KR. Previous Agent Orange exposure is correlated with worse outcome in patients with multiple myeloma (MM) [abstract]. Blood. 2015;126(23):4194. doi:10.1182/blood.V126.23.4194.4194
11. Bumma N, Nagasaka M, Kim S, Vankayala HM, Ahmed S, Jasti P. Incidence of monoclonal gammopathy of undetermined significance (MGUS) and subsequent transformation to multiple myeloma (MM) and effect of exposure to Agent Orange (AO): a single center experience from VA Detroit [abstract]. Blood. 2017;130(suppl 1):5383. doi:10.1182/blood.V130.Suppl_1.5383.5383
12. Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40(5):373-383. doi:10.1016/0021-9681(87)90171-8
13. Deyo RA, Cherkin DC, Ciol MA. Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol. 1992;45(6):613-619. doi:10.1016/0895-4356(92)90133-8
14. Copeland LA, Zeber JE, Sako EY, et al. Serious mental illnesses associated with receipt of surgery in retrospective analysis of patients in the Veterans Health Administration. BMC Surg. 2015;15:74. doi:10.1186/s12893-015-0064-7
15. Younes MA, Perez JD, Alirhayim Z, Ochoa C, Patel R, Dabak VS. MGUS Transformation into multiple myeloma in patients with solid organ transplantation [Abstract presented at American Society of Hematology Annual Meeting, November 15, 2013]. Blood. 2013;122(21):5325. doi:10.1182/blood.V122.21.5325.5325
16. Waxman AJ, Mink PJ, Devesa SS, et al. Racial disparities in incidence and outcome in multiple myeloma: a population- based study. Blood. 2010 Dec 16;116(25):5501-5506. doi:10.1182/blood-2010-07-298760
Antibiotic Stewardship Improvement Initiative at a Veterans Health Administration Ambulatory Care Center
The negative impact of the unnecessary prescribing of antibiotic is well known. Consequences include exposing patients to antibiotic adverse effects, risk of overgrowth of pathogenetic organisms such as clostridial species, unnecessary cost of drugs, and development of selection of antibiotic-resistant organisms in the populace at large. Acute viral respiratory infections are among the leading causes of inappropriate antibiotic usage.1 In a study of 1000 adults with respiratory tract infections in an outpatient setting, 77% of patients were prescribed antibiotics, and the treatment was inappropriate in 64% of those who received prescriptions.2 Patient expectations and clinician perceptions of these expectations play a role. One study showed that 54% of clinicians felt their patients expected to receive antibiotics for a visit due to an acute respiratory infection (ARI), such as a cough or cold; 26% of patients did in fact have this expectation.3
The US Department of Veterans Affairs (VA) Central Ohio Health Care System is a large ambulatory care facility, with 4 associated community-based outpatient clinics, serving more than 43,000 central Ohio veterans and completing more than 500,000 medical appointments annually. An antimicrobial stewardship program has been in place since 2013. In May 2018, the clinical pharmacist assigned to the program alerted medical leadership that, of 67 patients seen in primary care for ARIs between April 16, 2018, and May 15, 2018, 42 (63%) had been prescribed an antibiotic. Based on this finding, clinical leadership designed a process improvement program aimed at reducing inappropriate antibiotic usage for the treatment of uncomplicated ARls likely due to viral pathogens. Key components were clinician and patient education and the substitution of a symptomatic treatment kit in place of an antibiotic prescription.
Methods
Facility clinical leadership, assisted by Volunteer Services, developed a Viral Illness Support Pack to be dispensed by primary care practitioners (PCPs) to patients presenting with symptoms of viral ARIs. The contents of this support pack are shown in the Figure. Patients were provided with tissues, throat lozenges, lip balm, acetaminophen, hand sanitizer, a surgical mask, patient instructions, and the Antibiotics Aren’t Always the Answer pamphlet.4 The contents of the viral support pack were purchased through Volunteer Services using donated funds. In total, 460 packs were distributed to the primary care patient aligned care teams (PACTs), including the community-based outpatient clinics.
Clinicians and care teams received academic detailing prior to distribution of the viral support packs, stressing the importance of avoiding antibiotics to treat viral illnesses. Viral illness support packs were available for distribution from December 1, 2018, through March 31, 2019. The frequency of antibiotic dispensing to patients coded for ARI during this period was compared with that of the same time period in the previous year. All charts were reviewed for coding accuracy. Patients with illnesses requiring antibiotic treatment, such as pneumonia, exacerbations of chronic obstructive pulmonary disease and chronic bronchitis, and streptococcal pharyngitis, were excluded from the study. Statistical significance was determined using the unpaired t test.
Results
From December 1, 2018, to March 31, 2019, 357 viral support packs were distributed to patients (Table). For the historical control period from December 1, 2017, through March 31, 2018, 508 patients were treated for ARIs. Of these, 295 (58%) received clinically inappropriate antibiotics. In contrast, of the 627 patients treated for ARIs during the study period from December 1, 2018, through March 31, 2019, 310 (49%) received clinically inappropriate antibiotics. The 9% decrease during the period when viral support packs were distributed, compared with the prior year, was statistically significant (P = .02).
Discussion
The decrease in antibiotic prescriptions for ARIs was statistically significant. The success of this project can be attributed to 3 factors: clinician education, patient education, and the option for PCPs to provide symptomatic treatment for these patients rather than prescribe an antibiotic.
The importance of antibiotic stewardship has been emphasized to all PCPs at the VA Central Ohio Health Care System. Antibiotic stewardship has been the subject of grand rounds. Prior to distribution of the viral support pack, the chief of specialty medicine, the project’s champion, spoke to all PCPs. Adequate numbers of viral support packs were distributed to all primary care teams.
In addition to direct clinician-to-patient education at the time of the patients’ visits, educational materials were included in the viral support pack. The Antibiotics Aren’t Always the Answer pamphlet is available from the Centers for Disease Control and Prevention. It covers the importance of antibiotic awareness, discusses what antibiotics do and do not treat, how to stay healthy, and causes of antibiotic resistance. The pamphlet contains the clear message that antibiotics are not only ineffective against viral illness, but also can cause significant undesirable outcomes.
The pamphlet Viral Illness Support Pack Traffic Light Card (eAppendix available online at doi:10.12788/fp.0302) provides important clinical information to the patients about their illness. Patients are instructed to contact their primary care team if they are worse after 3 days of illness; symptoms are not improving after 10 days; or they experience blood in respiratory secretions, chills or generalized aching, and localized pain that is one-sided or significantly worsening. Patients are clearly informed to seek further care if not improving with symptomatic treatment.
The ability to provide patients with symptomatic relief, including throat lozenges, lip balm, and acetaminophen, was felt to be important in the success of the project. Furthermore, this eliminated an extra step of the patient needing to visit the pharmacy.
Limitations
Limitations of the study included starting distribution of the support packs somewhat after the onset of the viral illness season, failure to reach all prescribers for academic detailing at the start of the program, and several instances of temporary unavailability of the support packs in some areas.
Conclusions
Patients with ARIs are often significantly symptomatic and frequently believe that they require an antibiotic for treatment. Clinicians may adjust their behavior in response to their patients’ expectations, stated or unstated. The results of this project demonstrate that the combination of patient education and the ready availability of a nonantibiotic symptomatic treatment option can significantly decrease the unnecessary prescribing of antibiotics for viral illnesses.
Acknowledgments
The authors are grateful to Ms. Traci Washington for assistance in sourcing materials; to Karen Corr, PhD, and Anthony Restuccio, MD, for advice on methods; to Mr. Daniel Pignatelli for assistance with data interpretation; and to Mr. Keith Skidmore, Ms. Crystal Conley, and Ms. Megan Harris for assistance with assembling the Viral Illness Support Packs.
1. Harris AM, Hicks LA, Qaseem A; High Value Care Task Force of the American College of Physicians and for the Centers for Disease Control and Prevention. Appropriate antibiotic use for acute respiratory tract infection in adults: advice for high-value care from the American College of Physicians and the Centers for Disease Control and Prevention. Ann Intern Med. 2016;164(6):425-434. doi:10.7326/M15-1840
2. Schroeck JL, Ruh CA, Sellick JA Jr, Ott MC, Mattappallil A, Mergenhagen KA. Factors associated with antibiotic misuse in outpatient treatment for upper respiratory tract infections. Antimicrob Agents Chemother. 2015;59(7):3848-3852. doi:10.1128/AAC.00652-15
3. Francois Watkins LK, Sanchez GV, Albert AP, Roberts RM, Hicks LA. Knowledge and attitudes regarding antibiotic use among adult consumers, adult Hispanic consumers, and health care providers—United States, 2012-2013. MMWR Morb Mortal Wkly Rep. 2015;64(28):767-770. doi:10.15585/mmwr.mm6428a5
4. Centers for Disease Control and Prevention. Antibiotics Aren’t Always the Answer. Accessed June 28, 2022.www.cdc.gov/antibiotic-use/pdfs/AntibioticsArentAlwaystheAnswer-H.pdf
The negative impact of the unnecessary prescribing of antibiotic is well known. Consequences include exposing patients to antibiotic adverse effects, risk of overgrowth of pathogenetic organisms such as clostridial species, unnecessary cost of drugs, and development of selection of antibiotic-resistant organisms in the populace at large. Acute viral respiratory infections are among the leading causes of inappropriate antibiotic usage.1 In a study of 1000 adults with respiratory tract infections in an outpatient setting, 77% of patients were prescribed antibiotics, and the treatment was inappropriate in 64% of those who received prescriptions.2 Patient expectations and clinician perceptions of these expectations play a role. One study showed that 54% of clinicians felt their patients expected to receive antibiotics for a visit due to an acute respiratory infection (ARI), such as a cough or cold; 26% of patients did in fact have this expectation.3
The US Department of Veterans Affairs (VA) Central Ohio Health Care System is a large ambulatory care facility, with 4 associated community-based outpatient clinics, serving more than 43,000 central Ohio veterans and completing more than 500,000 medical appointments annually. An antimicrobial stewardship program has been in place since 2013. In May 2018, the clinical pharmacist assigned to the program alerted medical leadership that, of 67 patients seen in primary care for ARIs between April 16, 2018, and May 15, 2018, 42 (63%) had been prescribed an antibiotic. Based on this finding, clinical leadership designed a process improvement program aimed at reducing inappropriate antibiotic usage for the treatment of uncomplicated ARls likely due to viral pathogens. Key components were clinician and patient education and the substitution of a symptomatic treatment kit in place of an antibiotic prescription.
Methods
Facility clinical leadership, assisted by Volunteer Services, developed a Viral Illness Support Pack to be dispensed by primary care practitioners (PCPs) to patients presenting with symptoms of viral ARIs. The contents of this support pack are shown in the Figure. Patients were provided with tissues, throat lozenges, lip balm, acetaminophen, hand sanitizer, a surgical mask, patient instructions, and the Antibiotics Aren’t Always the Answer pamphlet.4 The contents of the viral support pack were purchased through Volunteer Services using donated funds. In total, 460 packs were distributed to the primary care patient aligned care teams (PACTs), including the community-based outpatient clinics.
Clinicians and care teams received academic detailing prior to distribution of the viral support packs, stressing the importance of avoiding antibiotics to treat viral illnesses. Viral illness support packs were available for distribution from December 1, 2018, through March 31, 2019. The frequency of antibiotic dispensing to patients coded for ARI during this period was compared with that of the same time period in the previous year. All charts were reviewed for coding accuracy. Patients with illnesses requiring antibiotic treatment, such as pneumonia, exacerbations of chronic obstructive pulmonary disease and chronic bronchitis, and streptococcal pharyngitis, were excluded from the study. Statistical significance was determined using the unpaired t test.
Results
From December 1, 2018, to March 31, 2019, 357 viral support packs were distributed to patients (Table). For the historical control period from December 1, 2017, through March 31, 2018, 508 patients were treated for ARIs. Of these, 295 (58%) received clinically inappropriate antibiotics. In contrast, of the 627 patients treated for ARIs during the study period from December 1, 2018, through March 31, 2019, 310 (49%) received clinically inappropriate antibiotics. The 9% decrease during the period when viral support packs were distributed, compared with the prior year, was statistically significant (P = .02).
Discussion
The decrease in antibiotic prescriptions for ARIs was statistically significant. The success of this project can be attributed to 3 factors: clinician education, patient education, and the option for PCPs to provide symptomatic treatment for these patients rather than prescribe an antibiotic.
The importance of antibiotic stewardship has been emphasized to all PCPs at the VA Central Ohio Health Care System. Antibiotic stewardship has been the subject of grand rounds. Prior to distribution of the viral support pack, the chief of specialty medicine, the project’s champion, spoke to all PCPs. Adequate numbers of viral support packs were distributed to all primary care teams.
In addition to direct clinician-to-patient education at the time of the patients’ visits, educational materials were included in the viral support pack. The Antibiotics Aren’t Always the Answer pamphlet is available from the Centers for Disease Control and Prevention. It covers the importance of antibiotic awareness, discusses what antibiotics do and do not treat, how to stay healthy, and causes of antibiotic resistance. The pamphlet contains the clear message that antibiotics are not only ineffective against viral illness, but also can cause significant undesirable outcomes.
The pamphlet Viral Illness Support Pack Traffic Light Card (eAppendix available online at doi:10.12788/fp.0302) provides important clinical information to the patients about their illness. Patients are instructed to contact their primary care team if they are worse after 3 days of illness; symptoms are not improving after 10 days; or they experience blood in respiratory secretions, chills or generalized aching, and localized pain that is one-sided or significantly worsening. Patients are clearly informed to seek further care if not improving with symptomatic treatment.
The ability to provide patients with symptomatic relief, including throat lozenges, lip balm, and acetaminophen, was felt to be important in the success of the project. Furthermore, this eliminated an extra step of the patient needing to visit the pharmacy.
Limitations
Limitations of the study included starting distribution of the support packs somewhat after the onset of the viral illness season, failure to reach all prescribers for academic detailing at the start of the program, and several instances of temporary unavailability of the support packs in some areas.
Conclusions
Patients with ARIs are often significantly symptomatic and frequently believe that they require an antibiotic for treatment. Clinicians may adjust their behavior in response to their patients’ expectations, stated or unstated. The results of this project demonstrate that the combination of patient education and the ready availability of a nonantibiotic symptomatic treatment option can significantly decrease the unnecessary prescribing of antibiotics for viral illnesses.
Acknowledgments
The authors are grateful to Ms. Traci Washington for assistance in sourcing materials; to Karen Corr, PhD, and Anthony Restuccio, MD, for advice on methods; to Mr. Daniel Pignatelli for assistance with data interpretation; and to Mr. Keith Skidmore, Ms. Crystal Conley, and Ms. Megan Harris for assistance with assembling the Viral Illness Support Packs.
The negative impact of the unnecessary prescribing of antibiotic is well known. Consequences include exposing patients to antibiotic adverse effects, risk of overgrowth of pathogenetic organisms such as clostridial species, unnecessary cost of drugs, and development of selection of antibiotic-resistant organisms in the populace at large. Acute viral respiratory infections are among the leading causes of inappropriate antibiotic usage.1 In a study of 1000 adults with respiratory tract infections in an outpatient setting, 77% of patients were prescribed antibiotics, and the treatment was inappropriate in 64% of those who received prescriptions.2 Patient expectations and clinician perceptions of these expectations play a role. One study showed that 54% of clinicians felt their patients expected to receive antibiotics for a visit due to an acute respiratory infection (ARI), such as a cough or cold; 26% of patients did in fact have this expectation.3
The US Department of Veterans Affairs (VA) Central Ohio Health Care System is a large ambulatory care facility, with 4 associated community-based outpatient clinics, serving more than 43,000 central Ohio veterans and completing more than 500,000 medical appointments annually. An antimicrobial stewardship program has been in place since 2013. In May 2018, the clinical pharmacist assigned to the program alerted medical leadership that, of 67 patients seen in primary care for ARIs between April 16, 2018, and May 15, 2018, 42 (63%) had been prescribed an antibiotic. Based on this finding, clinical leadership designed a process improvement program aimed at reducing inappropriate antibiotic usage for the treatment of uncomplicated ARls likely due to viral pathogens. Key components were clinician and patient education and the substitution of a symptomatic treatment kit in place of an antibiotic prescription.
Methods
Facility clinical leadership, assisted by Volunteer Services, developed a Viral Illness Support Pack to be dispensed by primary care practitioners (PCPs) to patients presenting with symptoms of viral ARIs. The contents of this support pack are shown in the Figure. Patients were provided with tissues, throat lozenges, lip balm, acetaminophen, hand sanitizer, a surgical mask, patient instructions, and the Antibiotics Aren’t Always the Answer pamphlet.4 The contents of the viral support pack were purchased through Volunteer Services using donated funds. In total, 460 packs were distributed to the primary care patient aligned care teams (PACTs), including the community-based outpatient clinics.
Clinicians and care teams received academic detailing prior to distribution of the viral support packs, stressing the importance of avoiding antibiotics to treat viral illnesses. Viral illness support packs were available for distribution from December 1, 2018, through March 31, 2019. The frequency of antibiotic dispensing to patients coded for ARI during this period was compared with that of the same time period in the previous year. All charts were reviewed for coding accuracy. Patients with illnesses requiring antibiotic treatment, such as pneumonia, exacerbations of chronic obstructive pulmonary disease and chronic bronchitis, and streptococcal pharyngitis, were excluded from the study. Statistical significance was determined using the unpaired t test.
Results
From December 1, 2018, to March 31, 2019, 357 viral support packs were distributed to patients (Table). For the historical control period from December 1, 2017, through March 31, 2018, 508 patients were treated for ARIs. Of these, 295 (58%) received clinically inappropriate antibiotics. In contrast, of the 627 patients treated for ARIs during the study period from December 1, 2018, through March 31, 2019, 310 (49%) received clinically inappropriate antibiotics. The 9% decrease during the period when viral support packs were distributed, compared with the prior year, was statistically significant (P = .02).
Discussion
The decrease in antibiotic prescriptions for ARIs was statistically significant. The success of this project can be attributed to 3 factors: clinician education, patient education, and the option for PCPs to provide symptomatic treatment for these patients rather than prescribe an antibiotic.
The importance of antibiotic stewardship has been emphasized to all PCPs at the VA Central Ohio Health Care System. Antibiotic stewardship has been the subject of grand rounds. Prior to distribution of the viral support pack, the chief of specialty medicine, the project’s champion, spoke to all PCPs. Adequate numbers of viral support packs were distributed to all primary care teams.
In addition to direct clinician-to-patient education at the time of the patients’ visits, educational materials were included in the viral support pack. The Antibiotics Aren’t Always the Answer pamphlet is available from the Centers for Disease Control and Prevention. It covers the importance of antibiotic awareness, discusses what antibiotics do and do not treat, how to stay healthy, and causes of antibiotic resistance. The pamphlet contains the clear message that antibiotics are not only ineffective against viral illness, but also can cause significant undesirable outcomes.
The pamphlet Viral Illness Support Pack Traffic Light Card (eAppendix available online at doi:10.12788/fp.0302) provides important clinical information to the patients about their illness. Patients are instructed to contact their primary care team if they are worse after 3 days of illness; symptoms are not improving after 10 days; or they experience blood in respiratory secretions, chills or generalized aching, and localized pain that is one-sided or significantly worsening. Patients are clearly informed to seek further care if not improving with symptomatic treatment.
The ability to provide patients with symptomatic relief, including throat lozenges, lip balm, and acetaminophen, was felt to be important in the success of the project. Furthermore, this eliminated an extra step of the patient needing to visit the pharmacy.
Limitations
Limitations of the study included starting distribution of the support packs somewhat after the onset of the viral illness season, failure to reach all prescribers for academic detailing at the start of the program, and several instances of temporary unavailability of the support packs in some areas.
Conclusions
Patients with ARIs are often significantly symptomatic and frequently believe that they require an antibiotic for treatment. Clinicians may adjust their behavior in response to their patients’ expectations, stated or unstated. The results of this project demonstrate that the combination of patient education and the ready availability of a nonantibiotic symptomatic treatment option can significantly decrease the unnecessary prescribing of antibiotics for viral illnesses.
Acknowledgments
The authors are grateful to Ms. Traci Washington for assistance in sourcing materials; to Karen Corr, PhD, and Anthony Restuccio, MD, for advice on methods; to Mr. Daniel Pignatelli for assistance with data interpretation; and to Mr. Keith Skidmore, Ms. Crystal Conley, and Ms. Megan Harris for assistance with assembling the Viral Illness Support Packs.
1. Harris AM, Hicks LA, Qaseem A; High Value Care Task Force of the American College of Physicians and for the Centers for Disease Control and Prevention. Appropriate antibiotic use for acute respiratory tract infection in adults: advice for high-value care from the American College of Physicians and the Centers for Disease Control and Prevention. Ann Intern Med. 2016;164(6):425-434. doi:10.7326/M15-1840
2. Schroeck JL, Ruh CA, Sellick JA Jr, Ott MC, Mattappallil A, Mergenhagen KA. Factors associated with antibiotic misuse in outpatient treatment for upper respiratory tract infections. Antimicrob Agents Chemother. 2015;59(7):3848-3852. doi:10.1128/AAC.00652-15
3. Francois Watkins LK, Sanchez GV, Albert AP, Roberts RM, Hicks LA. Knowledge and attitudes regarding antibiotic use among adult consumers, adult Hispanic consumers, and health care providers—United States, 2012-2013. MMWR Morb Mortal Wkly Rep. 2015;64(28):767-770. doi:10.15585/mmwr.mm6428a5
4. Centers for Disease Control and Prevention. Antibiotics Aren’t Always the Answer. Accessed June 28, 2022.www.cdc.gov/antibiotic-use/pdfs/AntibioticsArentAlwaystheAnswer-H.pdf
1. Harris AM, Hicks LA, Qaseem A; High Value Care Task Force of the American College of Physicians and for the Centers for Disease Control and Prevention. Appropriate antibiotic use for acute respiratory tract infection in adults: advice for high-value care from the American College of Physicians and the Centers for Disease Control and Prevention. Ann Intern Med. 2016;164(6):425-434. doi:10.7326/M15-1840
2. Schroeck JL, Ruh CA, Sellick JA Jr, Ott MC, Mattappallil A, Mergenhagen KA. Factors associated with antibiotic misuse in outpatient treatment for upper respiratory tract infections. Antimicrob Agents Chemother. 2015;59(7):3848-3852. doi:10.1128/AAC.00652-15
3. Francois Watkins LK, Sanchez GV, Albert AP, Roberts RM, Hicks LA. Knowledge and attitudes regarding antibiotic use among adult consumers, adult Hispanic consumers, and health care providers—United States, 2012-2013. MMWR Morb Mortal Wkly Rep. 2015;64(28):767-770. doi:10.15585/mmwr.mm6428a5
4. Centers for Disease Control and Prevention. Antibiotics Aren’t Always the Answer. Accessed June 28, 2022.www.cdc.gov/antibiotic-use/pdfs/AntibioticsArentAlwaystheAnswer-H.pdf
Postdeployment Respiratory Health: The Roles of the Airborne Hazards and Open Burn Pit Registry and the Post-Deployment Cardiopulmonary Evaluation Network
Case Example
A 37-year-old female never smoker presents to your clinic with progressive dyspnea over the past 15 years. She reports dyspnea on exertion, wheezing, chronic nasal congestion, and difficulty sleeping that started a year after she returned from military deployment to Iraq. She has been unable to exercise, even at low intensity, for the past 5 years, despite being previously active. She has experienced some symptom improvement by taking an albuterol inhaler as needed, loratadine (10 mg), and fluticasone nasal spray (50 mcg). She occasionally uses famotidine for reflux (40 mg). She deployed to Southwest Asia for 12 months (2002-2003) and was primarily stationed in Qayyarah West, an Air Force base in the Mosul district in northern Iraq. She reports exposure during deployment to the fire in the Al-Mishraq sulfur mine, located approximately 25 km north of Qayyarah West, as well as dust storms and burn pits. She currently works as a medical assistant. Her examination is remarkable for normal bronchovesicular breath sounds without any wheezing or crackles on pulmonary evaluation. Her body mass index is 31. You obtain a chest radiograph and spirometry, which are both normal.
The veteran reports feeling frustrated as she has had multiple specialty evaluations in community clinics without receiving a diagnosis, despite worsening symptoms. She reports that she added her information to the Airborne Hazards and Open Burn Pit Registry (AHOBPR). She recently received a letter from the US Department of Veterans Affairs (VA) Post-Deployment Cardiopulmonary Evaluation Network (PDCEN) and is asking you whether she should participate in the PDCEN specialty evaluation. You are not familiar with the military experiences she has described or the programs she asks you about; however, you would like to know more to best care for your patient.
Background
The year 2021 marked the 20th anniversary of the September 11 attacks and the launch of the Global War on Terrorism. Almost 3 million US military personnel have been deployed in support of these operations along with about 300,000 US civilian contractors and thousands of troops from more than 40 nations.1-3
Respiratory hazards associated with deployment to Southwest Asia and Afghanistan are unique and varied. These exposures include blast injuries and a variety of particulate matter sources, such as burn pit combustion byproducts, aeroallergens, and dust storms.7,8,15,16 One air sampling study conducted at 15 deployment sites in Southwest Asia and Afghanistan found mean fine particulate matter (PM2.5) levels were as much as 10 times greater than sampling sites in both rural and urban cities in the United States; all sites sampled exceeded military exposure guidelines (65 µg/m3 for 1 year).17,18 Long-term exposure to PM2.5 has been associated with the development of chronic respiratory and cardiovascular disease; therefore, there has been considerable attention to the respiratory (and nonrespiratory) health of deployed military personnel.19
Concerns regarding the association between deployment and lung disease led to the creation of the national VA Airborne Hazards and Open Burn Pit Registry (AHOBPR) in 2014 and consists of (1) an online questionnaire to document deployment and medical history, exposure concerns, and symptoms; and (2) an optional in-person or virtual clinical health evaluation at the individual’s local VA medical center or military treatment facility (MTF). As of March 2022, more than 300,000 individuals have completed the online questionnaire of which about 30% declined the optional clinical health evaluation.
The clinical evaluation available to AHOBPR participants has not yet been described in the literature. Therefore, our objectives are to examine AHOBPR clinical evaluation data and review its application throughout the VA. In addition, we will also describe a parallel effort by the VA PDCEN, which is to provide comprehensive multiday clinical evaluations for unique AHOBPR participants with unexplained dyspnea and self-reported respiratory disease. A secondary aim of this publication is to disseminate information to health care professionals (HCPs) within and outside of the VA to aid in the referral and evaluation of previously deployed veterans who experience unexplained dyspnea.
AHOBPR Overview
The AHOBPR is an online questionnaire and optional in-person health evaluation that includes 7 major categories targeting deployment history, symptoms, medical history, health concerns, residential history, nonmilitary occupational history, nonmilitary environmental exposures, and health care utilization. The VA Defense Information Repository is used to obtain service dates for the service member/veteran, conflict involvement, and primary location during deployment. The questionnaire portion of the AHOBPR is administered online. It currently is open to all veterans who served in the Southwest Asia theater of operations (including Iraq, Kuwait, and Egypt) any time after August 2, 1990, or Afghanistan, Djibouti, Syria, or Uzbekistan after September 11, 2001. Veterans are eligible for completing the AHOBPR and optional health evaluation at no cost to the veteran regardless of VA benefits or whether they are currently enrolled in VA health care. Though the focus of the present manuscript is to profile a VA program, it is important to note that the US Department of Defense (DoD) is an active partner with the VA in the promotion of the AHOBPR to service members and similarly provides health evaluations for active-duty service members (including activating Reserve and Guard) through their local MTF.
We reviewed and analyzed AHOBPR operations and VA data from 2014 to 2020. Our analyses were limited to veterans seeking evaluation as well as their corresponding symptoms and HCP’s clinical impression from the electronic health record. As of September 20, 2021, 267,125 individuals completed the AHOBPR. The mean age was 43 years (range, 19-84), and the majority were male (86%) and served in the Army (58%). Open-air burn pits (91%), engine maintenance (38.8%), and convoy operations (71.7%) were the most common deployment-related exposures.
The optional in-person AHOBPR health evaluation may be requested by the veteran after completing the online questionnaire and is performed at the veteran’s local VA facility. The evaluation is most often completed by an environmental health clinician or primary care practitioner (PCP). A variety of resources are available to providers for training on this topic, including fact sheets, webinars, monthly calls, conferences, and accredited e-learning.20 As part of the clinical evaluation, the veteran’s chief concerns are assessed and evaluated. At the time of our analysis, 24,578 clinical examinations were performed across 126 VA medical facilities, with considerable geographic variation. Veterans receiving evaluations were predominantly male (89%) with a median age of 46.0 years (IQR, 15). Veterans’ major respiratory concerns included dyspnea (45.1%), decreased exercise ability (34.8%), and cough > 3 weeks (30.3%) (Table). After clinical evaluation by a VA or MTF HCP, 47.8% were found to have a respiratory diagnosis, including asthma (30.1%), COPD (12.8%), and bronchitis (11.9%).
Registry participants who opt to receive the clinical evaluation may benefit directly by undergoing a detailed clinical history and physical examination as well as having the opportunity to document their health concerns. For some, clinicians may need to refer veterans for additional specialty testing beyond this standard AHOBPR clinical evaluation. Although these evaluations can help address some of the veterans’ concerns, a substantial number may have unexplained respiratory symptoms that warrant further investigation.
Post-Deployment Cardiopulmonary Evaluation Network Clinical Evaluation
In May 2019, the VA established the Airborne Hazards and Burn Pits Center of Excellence (AHBPCE). One of the AHBPCE’s objectives is to deliver specialized care and consultation for veterans with concerns about their postdeployment health, including, but not limited to, unexplained dyspnea. To meet this objective, the AHBPCE developed the PDCEN, a national network consisting of specialty HCPs from 5 VA medical centers—located in San Francisco, California; Denver, Colorado; Baltimore, Maryland; Ann Arbor, Michigan; and East Orange, New Jersey. Collectively, the PDCEN has developed a standardized approach for the comprehensive clinical evaluation of unexplained dyspnea that is implemented uniformly across sites. Staff at the PDCEN screen the AHOBPR to identify veterans with features of respiratory disease and invite them to participate in an in-person evaluation at the nearest PDCEN site. Given the specialty expertise (detailed below) within the Network, the PDCEN focuses on complex cases that are resource intensive. To address complex cases of unexplained dyspnea, the PDCEN has developed a core clinical evaluation approach (Figure).
The first step in a veteran’s PDCEN evaluation entails a set of detailed questionnaires that request information about the veteran’s current respiratory, sleep, and mental health symptoms and any associated medical diagnoses. Questionnaires also identify potential exposures to military burn pits, sulfur mine and oil field fires, diesel exhaust fumes, dust storms, urban pollution, explosions/blasts, and chemical weapons. In addition, the questionnaires include deployment geographic location, which may inform future estimates of particulate matter exposure.21 Prior VA and non-VA evaluations and testing of their respiratory concerns are obtained for review. Exposure and health records from the DoD are also reviewed when available.
The next step in the PDCEN evaluation comprises comprehensive testing, including complete pulmonary function testing, methacholine challenge, cardiopulmonary exercise testing, forced oscillometry and exhaled nitric oxide testing, paired high-resolution inspiratory and expiratory chest computed tomography (CT) imaging, sinus CT imaging, direct flexible laryngoscopy, echocardiography, polysomnography, and laboratory blood testing. The testing process is managed by local site coordinators and varies by institution based on availability of each testing modality and subspecialist appointments.
Once testing is completed, the veteran is evaluated by a team of HCPs, including physicians from the disciplines of pulmonary medicine, environmental and occupational health, sleep medicine, otolaryngology and speech pathology, and mental health (when appropriate). After the clinical evaluation has been completed, this team of expert HCPs at each site convenes to provide a final summary review visit intended to be a comprehensive assessment of the veteran’s primary health concerns. The 3 primary objectives of this final review are to inform the veteran of (1) what respiratory and related conditions they have; (2) whether the conditions is/are deployment related; and (3) what treatments and/or follow-up care may enhance their current state of health in partnership with their local HCPs. The PDCEN does not provide ongoing management of any conditions identified during the veteran’s evaluation but communicates findings and recommendations to the veteran and their PCP for long-term care.
Discussion
The AHOBPR was established in response to mounting concerns that service members and veterans were experiencing adverse health effects that might be attributable to deployment-related exposures. Nearly half of all patients currently enrolled in the AHOBPR report dyspnea, and about one-third have decreased exercise tolerance and/or cough. Of those who completed the questionnaire and the subsequent in-person and generalized AHOBPR examination, our interim analysis showed that about half were assigned a respiratory diagnosis. Yet for many veterans, their breathing symptoms remained unexplained or did not respond to treatment.
While the AHOBPR and related examinations address the needs of many veterans, others may require more comprehensive examination. The PDCEN attends to the latter by providing more detailed and comprehensive clinical evaluations of veterans with deployment-related respiratory health concerns and seeks to learn from these evaluations by analyzing data obtained from veterans across sites. As such, the PDCEN hopes not only to improve the health of individual veterans, but also create standard practices for both VA and non-VA community evaluation of veterans exposed to respiratory hazards during deployment.
One of the major challenges in the field of postdeployment respiratory health is the lack of clear universal language or case definitions that encompass the veteran’s clinical concerns. In an influential case series published in 2011, 38 (77%) of 49 soldiers with history of airborne hazard exposure and unexplained exercise intolerance were reported to have histopathology consistent with constrictive bronchiolitis on surgical lung biopsy.14 Subsequent publications have described other histopathologic features in deployed military personnel, including granulomatous inflammation, interstitial lung disease, emphysema, and pleuritis.12-14 Reconciling these findings from surgical lung biopsy with the clinical presentation and noninvasive studies has proved difficult. Therefore, several groups of investigators have proposed terms, including postdeployment respiratory syndrome, deployment-related distal lung disease, and Iraq/Afghanistan War lung injury to describe the increased respiratory symptoms and variety of histopathologic and imaging findings in this population.9,12,22 At present, there remains a lack of consensus on terminology and case definitions as well as the role of military environmental exposures in exacerbating and/or causing these conditions. As HCPs, it is important to appreciate and acknowledge that the ambiguity and controversy pertaining to terminology, causation, and service connections are a common source of frustration experienced by veterans, which are increasingly reflected among reports in popular media and lay press.
A second and related challenge in the field of postdeployment respiratory health that contributes to veteran and HCP frustration is that many of the aforementioned abnormalities described on surgical lung biopsy are not readily identifiable on noninvasive tests, including traditional interpretation of pulmonary function tests or chest CT imaging.12-14,22 Thus, underlying conditions could be overlooked and veterans’ concerns and symptoms may be dismissed or misattributed to other comorbid conditions. While surgical lung biopsies may offer diagnostic clarity in identifying lung disease, there are significant procedural risks of surgical and anesthetic complications. Furthermore, a definitive diagnosis does not necessarily guarantee a clear treatment plan. For example, there are no current therapies approved by the US Food and Drug Administration for the treatment of constrictive bronchiolitis.
Research efforts are underway, including within the PDCEN, to evaluate a more sensitive and noninvasive assessment of the small airways that may even reduce or eliminate the need for surgical lung biopsy. In contrast to traditional pulmonary function testing, which is helpful for evaluation of the larger airways, forced oscillation technique can be used noninvasively, using pressure oscillations to evaluate for diseases of the smaller airways and has been used in the veteran population and in those exposed to dust from the World Trade Center disaster.23-25 Multiple breath washout technique provides a lung clearance index that is determined by the number of lung turnovers it takes to clear the lungs of an inert gas (eg, sulfur hexafluoride, nitrogen). Elevated lung clearance index values suggest ventilation heterogeneity and have been shown to be higher among deployed veterans with dyspnea.26,27 Finally, advanced CT analytic techniques may help identify functional small airways disease and are higher in deployed service members with constrictive bronchiolitis on surgical lung biopsy.28 These innovative noninvasive techniques are experimental but promising, especially as part of a broader evaluation of small airways disease.
AHOBPR clinical evaluations represent an initial step to better understand postdeployment health conditions available to all AHOBPR participants. The PDCEN clinical evaluation extends the AHOBPR evaluation by providing specialty care for certain veterans requiring more comprehensive evaluation while systematically collecting and analyzing clinical data to advance the field. The VA is committed to leveraging these data and all available expertise to provide a clear description of the spectrum of disease in this population and improve our ability to diagnose, follow, and treat respiratory health conditions occurring after deployment to Southwest Asia and Afghanistan.
Case Conclusion
The veteran was referred to a PDCEN site and underwent a comprehensive multidisciplinary evaluation. Pulmonary function testing showed lung volumes and vital capacity within the predicted normal range, mild air trapping, and a low diffusion capacity for carbon monoxide. Methacholine challenge testing was normal; however, forced oscillometry suggested small airways obstruction. A high-resolution CT showed air trapping without parenchymal changes. Cardiopulmonary exercise testing demonstrated a peak exercise capacity within the predicted normal range but low breathing reserve. Otolaryngology evaluation including laryngoscopy suggested chronic nonallergic rhinitis.
At the end of the veteran’s evaluation, a summary review reported nonallergic rhinitis and distal airway obstruction consistent with small airways disease. Both were reported as most likely related to deployment given her significant environmental exposures and the temporal relationship with her deployment and symptom onset as well as lack of other identifiable causes. A more precise histopathologic diagnosis could be firmly established with a surgical lung biopsy, but after shared decision making with a PDCEN HCP, the patient declined to undergo this invasive procedure. After you review the summary review and recommendations from the PDCEN group, you start the veteran on intranasal steroids and a combined inhaled corticosteroid/long-acting β agonist inhaler as well as refer the veteran to pulmonary rehabilitation. After several weeks, she reports an improvement in sleep and nasal symptoms but continues to experience residual exercise intolerance.
This case serves as an example of the significant limitations that a previously active and healthy patient can develop after deployment to Southwest Asia and Afghanistan. Encouraging this veteran to complete the AHOBPR allowed her to be considered for a PDCEN evaluation that provided the opportunity to undergo a comprehensive noninvasive evaluation of her chronic dyspnea. In doing so, she obtained 2 important diagnoses and data from her evaluation will help establish best practices for standardized evaluations of respiratory concerns following deployment. Through the AHOBPR and PDCEN, the VA seeks to better understand postdeployment health conditions, their relationship to military and environmental exposures, and how best to diagnose and treat these conditions.
Acknowledgments
This work was supported by the US Department of Veterans Affairs (VA) Airborne Hazards and Burn Pits Center of Excellence (Public Law 115-929). The authors acknowledge support and contributions from Dr. Eric Shuping and leadership at VA’s Health Outcomes Military Exposures office as well as the New Jersey War Related Illness and Injury Study Center. In addition, we thank Erin McRoberts and Rajeev Swarup for their contributions to the Post-Deployment Cardiopulmonary Evaluation Network. Post-Deployment Cardiopulmonary Evaluation Network members:
Mehrdad Arjomandi, Caroline Davis, Michelle DeLuca, Nancy Eager, Courtney A. Eberhardt, Michael J. Falvo, Timothy Foley, Fiona A.S. Graff, Deborah Heaney, Stella E. Hines, Rachel E. Howard, Nisha Jani, Sheena Kamineni, Silpa Krefft, Mary L. Langlois, Helen Lozier, Simran K. Matharu, Anisa Moore, Lydia Patrick-DeLuca, Edward Pickering, Alexander Rabin, Michelle Robertson, Samantha L. Rogers, Aaron H. Schneider, Anand Shah, Anays Sotolongo, Jennifer H. Therkorn, Rebecca I. Toczylowski, Matthew Watson, Alison D. Wilczynski, Ian W. Wilson, Romi A. Yount.
1. Wenger J, O’Connell C, Cottrell L. Examination of recent deployment experience across the services and components. Exam. RAND Corporation; 2018. Accessed June 27, 2022. doi:10.7249/rr1928
2. Torreon BS. U.S. periods of war and dates of recent conflicts, RS21405. Congressional Research Service; 2017. June 5, 2020. Accessed June 27, 2022. https://crsreports.congress.gov/product/details?prodcode=RS21405
3. Dunigan M, Farmer CM, Burns RM, Hawks A, Setodji CM. Out of the shadows: the health and well-being of private contractors working in conflict environments. RAND Corporation; 2013. Accessed June 27, 2022. https://www.rand.org/pubs/research_reports/RR420.html
4. Szema AM, Peters MC, Weissinger KM, Gagliano CA, Chen JJ. New-onset asthma among soldiers serving in Iraq and Afghanistan. Allergy Asthma Proc. 2010;31(5):67-71. doi:10.2500/aap.2010.31.3383
5. Pugh MJ, Jaramillo CA, Leung KW, et al. Increasing prevalence of chronic lung disease in veterans of the wars in Iraq and Afghanistan. Mil Med. 2016;181(5):476-481. doi:10.7205/MILMED-D-15-00035
6. Falvo MJ, Osinubi OY, Sotolongo AM, Helmer DA. Airborne hazards exposure and respiratory health of Iraq and Afghanistan veterans. Epidemiol Rev. 2015;37:116-130. doi:10.1093/epirev/mxu009
7. McAndrew LM, Teichman RF, Osinubi OY, Jasien JV, Quigley KS. Environmental exposure and health of Operation Enduring Freedom/Operation Iraqi Freedom veterans. J Occup Environ Med. 2012;54(6):665-669. doi:10.1097/JOM.0b013e318255ba1b
8. Smith B, Wong CA, Smith TC, Boyko EJ, Gackstetter GD; Margaret A. K. Ryan for the Millennium Cohort Study Team. Newly reported respiratory symptoms and conditions among military personnel deployed to Iraq and Afghanistan: a prospective population-based study. Am J Epidemiol. 2009;170(11):1433-1442. doi:10.1093/aje/kwp287
9. Szema AM, Salihi W, Savary K, Chen JJ. Respiratory symptoms necessitating spirometry among soldiers with Iraq/Afghanistan war lung injury. J Occup Environ Med. 2011;53(9):961-965. doi:10.1097/JOM.0b013e31822c9f05
10. Committee on the Long-Term Health Consequences of Exposure to Burn Pits in Iraq and Afghanistan; Institute of Medicine. Long-Term Health Consequences of Exposure to Burn Pits in Iraq and Afghanistan. The National Academies Press; 2011. Accessed June 27, 2022. doi:10.17226/1320911. National Academies of Sciences, Engineering, and Medicine. Respiratory Health Effects of Airborne Hazards Exposures in the Southwest Asia Theater of Military Operations. The National Academies Press; 2020. Accessed June 27, 2022. doi:10.17226/25837
12. Krefft SD, Wolff J, Zell-Baran L, et al. Respiratory diseases in post-9/11 military personnel following Southwest Asia deployment. J Occup Environ Med. 2020;62(5):337-343. doi:10.1097/JOM.0000000000001817
13. Gordetsky J, Kim C, Miller RF, Mehrad M. Non-necrotizing granulomatous pneumonitis and chronic pleuritis in soldiers deployed to Southwest Asia. Histopathology. 2020;77(3):453-459. doi:10.1111/his.14135
14. King MS, Eisenberg R, Newman JH, et al. Constrictive bronchiolitis in soldiers returning from Iraq and Afghanistan. N Engl J Med. 2011;365(3):222-230. doi:10.1056/NEJMoa1101388
15. Helmer DA, Rossignol M, Blatt M, Agarwal R, Teichman R, Lange G. Health and exposure concerns of veterans deployed to Iraq and Afghanistan. J Occup Environ Med. 2007;49(5):475-480. doi:10.1097/JOM.0b013e318042d682
16. Kim YH, Warren SH, Kooter I, et al. Chemistry, lung toxicity and mutagenicity of burn pit smoke-related particulate matter. Part Fibre Toxicol. 2021;18(1):45. Published 2021 Dec 16. doi:10.1186/s12989-021-00435-w
17. Engelbrecht JP, McDonald EV, Gillies JA, Jayanty RK, Casuccio G, Gertler AW. Characterizing mineral dusts and other aerosols from the Middle East—Part 1: ambient sampling. Inhal Toxicol. 2009;21(4):297-326. doi:10.1080/08958370802464273
18. US Army Public Health Command. Technical guide 230: environmental health risk assessment and chemical exposure guidelines for deployed military personnel, 2013 revision. Accessed June 27, 2022. https://phc.amedd.army.mil/PHC%20Resource%20Library/TG230-DeploymentEHRA-and-MEGs-2013-Revision.pdf
19. Anderson JO, Thundiyil JG, Stolbach A. Clearing the air: a review of the effects of particulate matter air pollution on human health. J Med Toxicol. 2012;8(2):166-175. doi:10.1007/s13181-011-0203-1
20. Shuping E, Schneiderman A. Resources on environmental exposures for military veterans. Am Fam Physician. 2020;101(12):709-710.
21. Masri S, Garshick E, Coull BA, Koutrakis P. A novel calibration approach using satellite and visibility observations to estimate fine particulate matter exposures in Southwest Asia and Afghanistan. J Air Waste Manag Assoc. 2017;67(1):86-95. doi:10.1080/10962247.2016.1230079
22. Gutor SS, Richmond BW, Du RH, et al. Postdeployment respiratory syndrome in soldiers with chronic exertional dyspnea. Am J Surg Pathol. 2021;45(12):1587-1596. doi:10.1097/PAS.0000000000001757
23. Goldman MD, Saadeh C, Ross D. Clinical applications of forced oscillation to assess peripheral airway function. Respir Physiol Neurobiol. 2005;148(1-2):179-194. doi:10.1016/j.resp.2005.05.026
24. Butzko RP, Sotolongo AM, Helmer DA, et al. Forced oscillation technique in veterans with preserved spirometry and chronic respiratory symptoms. Respir Physiol Neurobiol. 2019;260:8-16. doi:10.1016/j.resp.2018.11.012
25. Oppenheimer BW, Goldring RM, Herberg ME, et al. Distal airway function in symptomatic subjects with normal spirometry following World Trade Center dust exposure. Chest. 2007;132(4):1275-1282. doi:10.1378/chest.07-0913
26. Zell-Baran LM, Krefft SD, Moore CM, Wolff J, Meehan R, Rose CS. Multiple breath washout: a noninvasive tool for identifying lung disease in symptomatic military deployers. Respir Med. 2021;176:106281. doi:10.1016/j.rmed.2020.106281
27. Krefft SD, Strand M, Smith J, Stroup C, Meehan R, Rose C. Utility of lung clearance index testing as a noninvasive marker of deployment-related lung disease. J Occup Environ Med. 2017;59(8):707-711. doi:10.1097/JOM.000000000000105828. Davis CW, Lopez CL, Bell AJ, et al. The severity of functional small airways disease in military personnel with constrictive bronchiolitis as measured by quantitative CT [published online ahead of print, 2022 May 24]. Am J Respir Crit Care Med. 2022;10.1164/rccm.202201-0153LE. doi:10.1164/rccm.202201-0153LE
Case Example
A 37-year-old female never smoker presents to your clinic with progressive dyspnea over the past 15 years. She reports dyspnea on exertion, wheezing, chronic nasal congestion, and difficulty sleeping that started a year after she returned from military deployment to Iraq. She has been unable to exercise, even at low intensity, for the past 5 years, despite being previously active. She has experienced some symptom improvement by taking an albuterol inhaler as needed, loratadine (10 mg), and fluticasone nasal spray (50 mcg). She occasionally uses famotidine for reflux (40 mg). She deployed to Southwest Asia for 12 months (2002-2003) and was primarily stationed in Qayyarah West, an Air Force base in the Mosul district in northern Iraq. She reports exposure during deployment to the fire in the Al-Mishraq sulfur mine, located approximately 25 km north of Qayyarah West, as well as dust storms and burn pits. She currently works as a medical assistant. Her examination is remarkable for normal bronchovesicular breath sounds without any wheezing or crackles on pulmonary evaluation. Her body mass index is 31. You obtain a chest radiograph and spirometry, which are both normal.
The veteran reports feeling frustrated as she has had multiple specialty evaluations in community clinics without receiving a diagnosis, despite worsening symptoms. She reports that she added her information to the Airborne Hazards and Open Burn Pit Registry (AHOBPR). She recently received a letter from the US Department of Veterans Affairs (VA) Post-Deployment Cardiopulmonary Evaluation Network (PDCEN) and is asking you whether she should participate in the PDCEN specialty evaluation. You are not familiar with the military experiences she has described or the programs she asks you about; however, you would like to know more to best care for your patient.
Background
The year 2021 marked the 20th anniversary of the September 11 attacks and the launch of the Global War on Terrorism. Almost 3 million US military personnel have been deployed in support of these operations along with about 300,000 US civilian contractors and thousands of troops from more than 40 nations.1-3
Respiratory hazards associated with deployment to Southwest Asia and Afghanistan are unique and varied. These exposures include blast injuries and a variety of particulate matter sources, such as burn pit combustion byproducts, aeroallergens, and dust storms.7,8,15,16 One air sampling study conducted at 15 deployment sites in Southwest Asia and Afghanistan found mean fine particulate matter (PM2.5) levels were as much as 10 times greater than sampling sites in both rural and urban cities in the United States; all sites sampled exceeded military exposure guidelines (65 µg/m3 for 1 year).17,18 Long-term exposure to PM2.5 has been associated with the development of chronic respiratory and cardiovascular disease; therefore, there has been considerable attention to the respiratory (and nonrespiratory) health of deployed military personnel.19
Concerns regarding the association between deployment and lung disease led to the creation of the national VA Airborne Hazards and Open Burn Pit Registry (AHOBPR) in 2014 and consists of (1) an online questionnaire to document deployment and medical history, exposure concerns, and symptoms; and (2) an optional in-person or virtual clinical health evaluation at the individual’s local VA medical center or military treatment facility (MTF). As of March 2022, more than 300,000 individuals have completed the online questionnaire of which about 30% declined the optional clinical health evaluation.
The clinical evaluation available to AHOBPR participants has not yet been described in the literature. Therefore, our objectives are to examine AHOBPR clinical evaluation data and review its application throughout the VA. In addition, we will also describe a parallel effort by the VA PDCEN, which is to provide comprehensive multiday clinical evaluations for unique AHOBPR participants with unexplained dyspnea and self-reported respiratory disease. A secondary aim of this publication is to disseminate information to health care professionals (HCPs) within and outside of the VA to aid in the referral and evaluation of previously deployed veterans who experience unexplained dyspnea.
AHOBPR Overview
The AHOBPR is an online questionnaire and optional in-person health evaluation that includes 7 major categories targeting deployment history, symptoms, medical history, health concerns, residential history, nonmilitary occupational history, nonmilitary environmental exposures, and health care utilization. The VA Defense Information Repository is used to obtain service dates for the service member/veteran, conflict involvement, and primary location during deployment. The questionnaire portion of the AHOBPR is administered online. It currently is open to all veterans who served in the Southwest Asia theater of operations (including Iraq, Kuwait, and Egypt) any time after August 2, 1990, or Afghanistan, Djibouti, Syria, or Uzbekistan after September 11, 2001. Veterans are eligible for completing the AHOBPR and optional health evaluation at no cost to the veteran regardless of VA benefits or whether they are currently enrolled in VA health care. Though the focus of the present manuscript is to profile a VA program, it is important to note that the US Department of Defense (DoD) is an active partner with the VA in the promotion of the AHOBPR to service members and similarly provides health evaluations for active-duty service members (including activating Reserve and Guard) through their local MTF.
We reviewed and analyzed AHOBPR operations and VA data from 2014 to 2020. Our analyses were limited to veterans seeking evaluation as well as their corresponding symptoms and HCP’s clinical impression from the electronic health record. As of September 20, 2021, 267,125 individuals completed the AHOBPR. The mean age was 43 years (range, 19-84), and the majority were male (86%) and served in the Army (58%). Open-air burn pits (91%), engine maintenance (38.8%), and convoy operations (71.7%) were the most common deployment-related exposures.
The optional in-person AHOBPR health evaluation may be requested by the veteran after completing the online questionnaire and is performed at the veteran’s local VA facility. The evaluation is most often completed by an environmental health clinician or primary care practitioner (PCP). A variety of resources are available to providers for training on this topic, including fact sheets, webinars, monthly calls, conferences, and accredited e-learning.20 As part of the clinical evaluation, the veteran’s chief concerns are assessed and evaluated. At the time of our analysis, 24,578 clinical examinations were performed across 126 VA medical facilities, with considerable geographic variation. Veterans receiving evaluations were predominantly male (89%) with a median age of 46.0 years (IQR, 15). Veterans’ major respiratory concerns included dyspnea (45.1%), decreased exercise ability (34.8%), and cough > 3 weeks (30.3%) (Table). After clinical evaluation by a VA or MTF HCP, 47.8% were found to have a respiratory diagnosis, including asthma (30.1%), COPD (12.8%), and bronchitis (11.9%).
Registry participants who opt to receive the clinical evaluation may benefit directly by undergoing a detailed clinical history and physical examination as well as having the opportunity to document their health concerns. For some, clinicians may need to refer veterans for additional specialty testing beyond this standard AHOBPR clinical evaluation. Although these evaluations can help address some of the veterans’ concerns, a substantial number may have unexplained respiratory symptoms that warrant further investigation.
Post-Deployment Cardiopulmonary Evaluation Network Clinical Evaluation
In May 2019, the VA established the Airborne Hazards and Burn Pits Center of Excellence (AHBPCE). One of the AHBPCE’s objectives is to deliver specialized care and consultation for veterans with concerns about their postdeployment health, including, but not limited to, unexplained dyspnea. To meet this objective, the AHBPCE developed the PDCEN, a national network consisting of specialty HCPs from 5 VA medical centers—located in San Francisco, California; Denver, Colorado; Baltimore, Maryland; Ann Arbor, Michigan; and East Orange, New Jersey. Collectively, the PDCEN has developed a standardized approach for the comprehensive clinical evaluation of unexplained dyspnea that is implemented uniformly across sites. Staff at the PDCEN screen the AHOBPR to identify veterans with features of respiratory disease and invite them to participate in an in-person evaluation at the nearest PDCEN site. Given the specialty expertise (detailed below) within the Network, the PDCEN focuses on complex cases that are resource intensive. To address complex cases of unexplained dyspnea, the PDCEN has developed a core clinical evaluation approach (Figure).
The first step in a veteran’s PDCEN evaluation entails a set of detailed questionnaires that request information about the veteran’s current respiratory, sleep, and mental health symptoms and any associated medical diagnoses. Questionnaires also identify potential exposures to military burn pits, sulfur mine and oil field fires, diesel exhaust fumes, dust storms, urban pollution, explosions/blasts, and chemical weapons. In addition, the questionnaires include deployment geographic location, which may inform future estimates of particulate matter exposure.21 Prior VA and non-VA evaluations and testing of their respiratory concerns are obtained for review. Exposure and health records from the DoD are also reviewed when available.
The next step in the PDCEN evaluation comprises comprehensive testing, including complete pulmonary function testing, methacholine challenge, cardiopulmonary exercise testing, forced oscillometry and exhaled nitric oxide testing, paired high-resolution inspiratory and expiratory chest computed tomography (CT) imaging, sinus CT imaging, direct flexible laryngoscopy, echocardiography, polysomnography, and laboratory blood testing. The testing process is managed by local site coordinators and varies by institution based on availability of each testing modality and subspecialist appointments.
Once testing is completed, the veteran is evaluated by a team of HCPs, including physicians from the disciplines of pulmonary medicine, environmental and occupational health, sleep medicine, otolaryngology and speech pathology, and mental health (when appropriate). After the clinical evaluation has been completed, this team of expert HCPs at each site convenes to provide a final summary review visit intended to be a comprehensive assessment of the veteran’s primary health concerns. The 3 primary objectives of this final review are to inform the veteran of (1) what respiratory and related conditions they have; (2) whether the conditions is/are deployment related; and (3) what treatments and/or follow-up care may enhance their current state of health in partnership with their local HCPs. The PDCEN does not provide ongoing management of any conditions identified during the veteran’s evaluation but communicates findings and recommendations to the veteran and their PCP for long-term care.
Discussion
The AHOBPR was established in response to mounting concerns that service members and veterans were experiencing adverse health effects that might be attributable to deployment-related exposures. Nearly half of all patients currently enrolled in the AHOBPR report dyspnea, and about one-third have decreased exercise tolerance and/or cough. Of those who completed the questionnaire and the subsequent in-person and generalized AHOBPR examination, our interim analysis showed that about half were assigned a respiratory diagnosis. Yet for many veterans, their breathing symptoms remained unexplained or did not respond to treatment.
While the AHOBPR and related examinations address the needs of many veterans, others may require more comprehensive examination. The PDCEN attends to the latter by providing more detailed and comprehensive clinical evaluations of veterans with deployment-related respiratory health concerns and seeks to learn from these evaluations by analyzing data obtained from veterans across sites. As such, the PDCEN hopes not only to improve the health of individual veterans, but also create standard practices for both VA and non-VA community evaluation of veterans exposed to respiratory hazards during deployment.
One of the major challenges in the field of postdeployment respiratory health is the lack of clear universal language or case definitions that encompass the veteran’s clinical concerns. In an influential case series published in 2011, 38 (77%) of 49 soldiers with history of airborne hazard exposure and unexplained exercise intolerance were reported to have histopathology consistent with constrictive bronchiolitis on surgical lung biopsy.14 Subsequent publications have described other histopathologic features in deployed military personnel, including granulomatous inflammation, interstitial lung disease, emphysema, and pleuritis.12-14 Reconciling these findings from surgical lung biopsy with the clinical presentation and noninvasive studies has proved difficult. Therefore, several groups of investigators have proposed terms, including postdeployment respiratory syndrome, deployment-related distal lung disease, and Iraq/Afghanistan War lung injury to describe the increased respiratory symptoms and variety of histopathologic and imaging findings in this population.9,12,22 At present, there remains a lack of consensus on terminology and case definitions as well as the role of military environmental exposures in exacerbating and/or causing these conditions. As HCPs, it is important to appreciate and acknowledge that the ambiguity and controversy pertaining to terminology, causation, and service connections are a common source of frustration experienced by veterans, which are increasingly reflected among reports in popular media and lay press.
A second and related challenge in the field of postdeployment respiratory health that contributes to veteran and HCP frustration is that many of the aforementioned abnormalities described on surgical lung biopsy are not readily identifiable on noninvasive tests, including traditional interpretation of pulmonary function tests or chest CT imaging.12-14,22 Thus, underlying conditions could be overlooked and veterans’ concerns and symptoms may be dismissed or misattributed to other comorbid conditions. While surgical lung biopsies may offer diagnostic clarity in identifying lung disease, there are significant procedural risks of surgical and anesthetic complications. Furthermore, a definitive diagnosis does not necessarily guarantee a clear treatment plan. For example, there are no current therapies approved by the US Food and Drug Administration for the treatment of constrictive bronchiolitis.
Research efforts are underway, including within the PDCEN, to evaluate a more sensitive and noninvasive assessment of the small airways that may even reduce or eliminate the need for surgical lung biopsy. In contrast to traditional pulmonary function testing, which is helpful for evaluation of the larger airways, forced oscillation technique can be used noninvasively, using pressure oscillations to evaluate for diseases of the smaller airways and has been used in the veteran population and in those exposed to dust from the World Trade Center disaster.23-25 Multiple breath washout technique provides a lung clearance index that is determined by the number of lung turnovers it takes to clear the lungs of an inert gas (eg, sulfur hexafluoride, nitrogen). Elevated lung clearance index values suggest ventilation heterogeneity and have been shown to be higher among deployed veterans with dyspnea.26,27 Finally, advanced CT analytic techniques may help identify functional small airways disease and are higher in deployed service members with constrictive bronchiolitis on surgical lung biopsy.28 These innovative noninvasive techniques are experimental but promising, especially as part of a broader evaluation of small airways disease.
AHOBPR clinical evaluations represent an initial step to better understand postdeployment health conditions available to all AHOBPR participants. The PDCEN clinical evaluation extends the AHOBPR evaluation by providing specialty care for certain veterans requiring more comprehensive evaluation while systematically collecting and analyzing clinical data to advance the field. The VA is committed to leveraging these data and all available expertise to provide a clear description of the spectrum of disease in this population and improve our ability to diagnose, follow, and treat respiratory health conditions occurring after deployment to Southwest Asia and Afghanistan.
Case Conclusion
The veteran was referred to a PDCEN site and underwent a comprehensive multidisciplinary evaluation. Pulmonary function testing showed lung volumes and vital capacity within the predicted normal range, mild air trapping, and a low diffusion capacity for carbon monoxide. Methacholine challenge testing was normal; however, forced oscillometry suggested small airways obstruction. A high-resolution CT showed air trapping without parenchymal changes. Cardiopulmonary exercise testing demonstrated a peak exercise capacity within the predicted normal range but low breathing reserve. Otolaryngology evaluation including laryngoscopy suggested chronic nonallergic rhinitis.
At the end of the veteran’s evaluation, a summary review reported nonallergic rhinitis and distal airway obstruction consistent with small airways disease. Both were reported as most likely related to deployment given her significant environmental exposures and the temporal relationship with her deployment and symptom onset as well as lack of other identifiable causes. A more precise histopathologic diagnosis could be firmly established with a surgical lung biopsy, but after shared decision making with a PDCEN HCP, the patient declined to undergo this invasive procedure. After you review the summary review and recommendations from the PDCEN group, you start the veteran on intranasal steroids and a combined inhaled corticosteroid/long-acting β agonist inhaler as well as refer the veteran to pulmonary rehabilitation. After several weeks, she reports an improvement in sleep and nasal symptoms but continues to experience residual exercise intolerance.
This case serves as an example of the significant limitations that a previously active and healthy patient can develop after deployment to Southwest Asia and Afghanistan. Encouraging this veteran to complete the AHOBPR allowed her to be considered for a PDCEN evaluation that provided the opportunity to undergo a comprehensive noninvasive evaluation of her chronic dyspnea. In doing so, she obtained 2 important diagnoses and data from her evaluation will help establish best practices for standardized evaluations of respiratory concerns following deployment. Through the AHOBPR and PDCEN, the VA seeks to better understand postdeployment health conditions, their relationship to military and environmental exposures, and how best to diagnose and treat these conditions.
Acknowledgments
This work was supported by the US Department of Veterans Affairs (VA) Airborne Hazards and Burn Pits Center of Excellence (Public Law 115-929). The authors acknowledge support and contributions from Dr. Eric Shuping and leadership at VA’s Health Outcomes Military Exposures office as well as the New Jersey War Related Illness and Injury Study Center. In addition, we thank Erin McRoberts and Rajeev Swarup for their contributions to the Post-Deployment Cardiopulmonary Evaluation Network. Post-Deployment Cardiopulmonary Evaluation Network members:
Mehrdad Arjomandi, Caroline Davis, Michelle DeLuca, Nancy Eager, Courtney A. Eberhardt, Michael J. Falvo, Timothy Foley, Fiona A.S. Graff, Deborah Heaney, Stella E. Hines, Rachel E. Howard, Nisha Jani, Sheena Kamineni, Silpa Krefft, Mary L. Langlois, Helen Lozier, Simran K. Matharu, Anisa Moore, Lydia Patrick-DeLuca, Edward Pickering, Alexander Rabin, Michelle Robertson, Samantha L. Rogers, Aaron H. Schneider, Anand Shah, Anays Sotolongo, Jennifer H. Therkorn, Rebecca I. Toczylowski, Matthew Watson, Alison D. Wilczynski, Ian W. Wilson, Romi A. Yount.
Case Example
A 37-year-old female never smoker presents to your clinic with progressive dyspnea over the past 15 years. She reports dyspnea on exertion, wheezing, chronic nasal congestion, and difficulty sleeping that started a year after she returned from military deployment to Iraq. She has been unable to exercise, even at low intensity, for the past 5 years, despite being previously active. She has experienced some symptom improvement by taking an albuterol inhaler as needed, loratadine (10 mg), and fluticasone nasal spray (50 mcg). She occasionally uses famotidine for reflux (40 mg). She deployed to Southwest Asia for 12 months (2002-2003) and was primarily stationed in Qayyarah West, an Air Force base in the Mosul district in northern Iraq. She reports exposure during deployment to the fire in the Al-Mishraq sulfur mine, located approximately 25 km north of Qayyarah West, as well as dust storms and burn pits. She currently works as a medical assistant. Her examination is remarkable for normal bronchovesicular breath sounds without any wheezing or crackles on pulmonary evaluation. Her body mass index is 31. You obtain a chest radiograph and spirometry, which are both normal.
The veteran reports feeling frustrated as she has had multiple specialty evaluations in community clinics without receiving a diagnosis, despite worsening symptoms. She reports that she added her information to the Airborne Hazards and Open Burn Pit Registry (AHOBPR). She recently received a letter from the US Department of Veterans Affairs (VA) Post-Deployment Cardiopulmonary Evaluation Network (PDCEN) and is asking you whether she should participate in the PDCEN specialty evaluation. You are not familiar with the military experiences she has described or the programs she asks you about; however, you would like to know more to best care for your patient.
Background
The year 2021 marked the 20th anniversary of the September 11 attacks and the launch of the Global War on Terrorism. Almost 3 million US military personnel have been deployed in support of these operations along with about 300,000 US civilian contractors and thousands of troops from more than 40 nations.1-3
Respiratory hazards associated with deployment to Southwest Asia and Afghanistan are unique and varied. These exposures include blast injuries and a variety of particulate matter sources, such as burn pit combustion byproducts, aeroallergens, and dust storms.7,8,15,16 One air sampling study conducted at 15 deployment sites in Southwest Asia and Afghanistan found mean fine particulate matter (PM2.5) levels were as much as 10 times greater than sampling sites in both rural and urban cities in the United States; all sites sampled exceeded military exposure guidelines (65 µg/m3 for 1 year).17,18 Long-term exposure to PM2.5 has been associated with the development of chronic respiratory and cardiovascular disease; therefore, there has been considerable attention to the respiratory (and nonrespiratory) health of deployed military personnel.19
Concerns regarding the association between deployment and lung disease led to the creation of the national VA Airborne Hazards and Open Burn Pit Registry (AHOBPR) in 2014 and consists of (1) an online questionnaire to document deployment and medical history, exposure concerns, and symptoms; and (2) an optional in-person or virtual clinical health evaluation at the individual’s local VA medical center or military treatment facility (MTF). As of March 2022, more than 300,000 individuals have completed the online questionnaire of which about 30% declined the optional clinical health evaluation.
The clinical evaluation available to AHOBPR participants has not yet been described in the literature. Therefore, our objectives are to examine AHOBPR clinical evaluation data and review its application throughout the VA. In addition, we will also describe a parallel effort by the VA PDCEN, which is to provide comprehensive multiday clinical evaluations for unique AHOBPR participants with unexplained dyspnea and self-reported respiratory disease. A secondary aim of this publication is to disseminate information to health care professionals (HCPs) within and outside of the VA to aid in the referral and evaluation of previously deployed veterans who experience unexplained dyspnea.
AHOBPR Overview
The AHOBPR is an online questionnaire and optional in-person health evaluation that includes 7 major categories targeting deployment history, symptoms, medical history, health concerns, residential history, nonmilitary occupational history, nonmilitary environmental exposures, and health care utilization. The VA Defense Information Repository is used to obtain service dates for the service member/veteran, conflict involvement, and primary location during deployment. The questionnaire portion of the AHOBPR is administered online. It currently is open to all veterans who served in the Southwest Asia theater of operations (including Iraq, Kuwait, and Egypt) any time after August 2, 1990, or Afghanistan, Djibouti, Syria, or Uzbekistan after September 11, 2001. Veterans are eligible for completing the AHOBPR and optional health evaluation at no cost to the veteran regardless of VA benefits or whether they are currently enrolled in VA health care. Though the focus of the present manuscript is to profile a VA program, it is important to note that the US Department of Defense (DoD) is an active partner with the VA in the promotion of the AHOBPR to service members and similarly provides health evaluations for active-duty service members (including activating Reserve and Guard) through their local MTF.
We reviewed and analyzed AHOBPR operations and VA data from 2014 to 2020. Our analyses were limited to veterans seeking evaluation as well as their corresponding symptoms and HCP’s clinical impression from the electronic health record. As of September 20, 2021, 267,125 individuals completed the AHOBPR. The mean age was 43 years (range, 19-84), and the majority were male (86%) and served in the Army (58%). Open-air burn pits (91%), engine maintenance (38.8%), and convoy operations (71.7%) were the most common deployment-related exposures.
The optional in-person AHOBPR health evaluation may be requested by the veteran after completing the online questionnaire and is performed at the veteran’s local VA facility. The evaluation is most often completed by an environmental health clinician or primary care practitioner (PCP). A variety of resources are available to providers for training on this topic, including fact sheets, webinars, monthly calls, conferences, and accredited e-learning.20 As part of the clinical evaluation, the veteran’s chief concerns are assessed and evaluated. At the time of our analysis, 24,578 clinical examinations were performed across 126 VA medical facilities, with considerable geographic variation. Veterans receiving evaluations were predominantly male (89%) with a median age of 46.0 years (IQR, 15). Veterans’ major respiratory concerns included dyspnea (45.1%), decreased exercise ability (34.8%), and cough > 3 weeks (30.3%) (Table). After clinical evaluation by a VA or MTF HCP, 47.8% were found to have a respiratory diagnosis, including asthma (30.1%), COPD (12.8%), and bronchitis (11.9%).
Registry participants who opt to receive the clinical evaluation may benefit directly by undergoing a detailed clinical history and physical examination as well as having the opportunity to document their health concerns. For some, clinicians may need to refer veterans for additional specialty testing beyond this standard AHOBPR clinical evaluation. Although these evaluations can help address some of the veterans’ concerns, a substantial number may have unexplained respiratory symptoms that warrant further investigation.
Post-Deployment Cardiopulmonary Evaluation Network Clinical Evaluation
In May 2019, the VA established the Airborne Hazards and Burn Pits Center of Excellence (AHBPCE). One of the AHBPCE’s objectives is to deliver specialized care and consultation for veterans with concerns about their postdeployment health, including, but not limited to, unexplained dyspnea. To meet this objective, the AHBPCE developed the PDCEN, a national network consisting of specialty HCPs from 5 VA medical centers—located in San Francisco, California; Denver, Colorado; Baltimore, Maryland; Ann Arbor, Michigan; and East Orange, New Jersey. Collectively, the PDCEN has developed a standardized approach for the comprehensive clinical evaluation of unexplained dyspnea that is implemented uniformly across sites. Staff at the PDCEN screen the AHOBPR to identify veterans with features of respiratory disease and invite them to participate in an in-person evaluation at the nearest PDCEN site. Given the specialty expertise (detailed below) within the Network, the PDCEN focuses on complex cases that are resource intensive. To address complex cases of unexplained dyspnea, the PDCEN has developed a core clinical evaluation approach (Figure).
The first step in a veteran’s PDCEN evaluation entails a set of detailed questionnaires that request information about the veteran’s current respiratory, sleep, and mental health symptoms and any associated medical diagnoses. Questionnaires also identify potential exposures to military burn pits, sulfur mine and oil field fires, diesel exhaust fumes, dust storms, urban pollution, explosions/blasts, and chemical weapons. In addition, the questionnaires include deployment geographic location, which may inform future estimates of particulate matter exposure.21 Prior VA and non-VA evaluations and testing of their respiratory concerns are obtained for review. Exposure and health records from the DoD are also reviewed when available.
The next step in the PDCEN evaluation comprises comprehensive testing, including complete pulmonary function testing, methacholine challenge, cardiopulmonary exercise testing, forced oscillometry and exhaled nitric oxide testing, paired high-resolution inspiratory and expiratory chest computed tomography (CT) imaging, sinus CT imaging, direct flexible laryngoscopy, echocardiography, polysomnography, and laboratory blood testing. The testing process is managed by local site coordinators and varies by institution based on availability of each testing modality and subspecialist appointments.
Once testing is completed, the veteran is evaluated by a team of HCPs, including physicians from the disciplines of pulmonary medicine, environmental and occupational health, sleep medicine, otolaryngology and speech pathology, and mental health (when appropriate). After the clinical evaluation has been completed, this team of expert HCPs at each site convenes to provide a final summary review visit intended to be a comprehensive assessment of the veteran’s primary health concerns. The 3 primary objectives of this final review are to inform the veteran of (1) what respiratory and related conditions they have; (2) whether the conditions is/are deployment related; and (3) what treatments and/or follow-up care may enhance their current state of health in partnership with their local HCPs. The PDCEN does not provide ongoing management of any conditions identified during the veteran’s evaluation but communicates findings and recommendations to the veteran and their PCP for long-term care.
Discussion
The AHOBPR was established in response to mounting concerns that service members and veterans were experiencing adverse health effects that might be attributable to deployment-related exposures. Nearly half of all patients currently enrolled in the AHOBPR report dyspnea, and about one-third have decreased exercise tolerance and/or cough. Of those who completed the questionnaire and the subsequent in-person and generalized AHOBPR examination, our interim analysis showed that about half were assigned a respiratory diagnosis. Yet for many veterans, their breathing symptoms remained unexplained or did not respond to treatment.
While the AHOBPR and related examinations address the needs of many veterans, others may require more comprehensive examination. The PDCEN attends to the latter by providing more detailed and comprehensive clinical evaluations of veterans with deployment-related respiratory health concerns and seeks to learn from these evaluations by analyzing data obtained from veterans across sites. As such, the PDCEN hopes not only to improve the health of individual veterans, but also create standard practices for both VA and non-VA community evaluation of veterans exposed to respiratory hazards during deployment.
One of the major challenges in the field of postdeployment respiratory health is the lack of clear universal language or case definitions that encompass the veteran’s clinical concerns. In an influential case series published in 2011, 38 (77%) of 49 soldiers with history of airborne hazard exposure and unexplained exercise intolerance were reported to have histopathology consistent with constrictive bronchiolitis on surgical lung biopsy.14 Subsequent publications have described other histopathologic features in deployed military personnel, including granulomatous inflammation, interstitial lung disease, emphysema, and pleuritis.12-14 Reconciling these findings from surgical lung biopsy with the clinical presentation and noninvasive studies has proved difficult. Therefore, several groups of investigators have proposed terms, including postdeployment respiratory syndrome, deployment-related distal lung disease, and Iraq/Afghanistan War lung injury to describe the increased respiratory symptoms and variety of histopathologic and imaging findings in this population.9,12,22 At present, there remains a lack of consensus on terminology and case definitions as well as the role of military environmental exposures in exacerbating and/or causing these conditions. As HCPs, it is important to appreciate and acknowledge that the ambiguity and controversy pertaining to terminology, causation, and service connections are a common source of frustration experienced by veterans, which are increasingly reflected among reports in popular media and lay press.
A second and related challenge in the field of postdeployment respiratory health that contributes to veteran and HCP frustration is that many of the aforementioned abnormalities described on surgical lung biopsy are not readily identifiable on noninvasive tests, including traditional interpretation of pulmonary function tests or chest CT imaging.12-14,22 Thus, underlying conditions could be overlooked and veterans’ concerns and symptoms may be dismissed or misattributed to other comorbid conditions. While surgical lung biopsies may offer diagnostic clarity in identifying lung disease, there are significant procedural risks of surgical and anesthetic complications. Furthermore, a definitive diagnosis does not necessarily guarantee a clear treatment plan. For example, there are no current therapies approved by the US Food and Drug Administration for the treatment of constrictive bronchiolitis.
Research efforts are underway, including within the PDCEN, to evaluate a more sensitive and noninvasive assessment of the small airways that may even reduce or eliminate the need for surgical lung biopsy. In contrast to traditional pulmonary function testing, which is helpful for evaluation of the larger airways, forced oscillation technique can be used noninvasively, using pressure oscillations to evaluate for diseases of the smaller airways and has been used in the veteran population and in those exposed to dust from the World Trade Center disaster.23-25 Multiple breath washout technique provides a lung clearance index that is determined by the number of lung turnovers it takes to clear the lungs of an inert gas (eg, sulfur hexafluoride, nitrogen). Elevated lung clearance index values suggest ventilation heterogeneity and have been shown to be higher among deployed veterans with dyspnea.26,27 Finally, advanced CT analytic techniques may help identify functional small airways disease and are higher in deployed service members with constrictive bronchiolitis on surgical lung biopsy.28 These innovative noninvasive techniques are experimental but promising, especially as part of a broader evaluation of small airways disease.
AHOBPR clinical evaluations represent an initial step to better understand postdeployment health conditions available to all AHOBPR participants. The PDCEN clinical evaluation extends the AHOBPR evaluation by providing specialty care for certain veterans requiring more comprehensive evaluation while systematically collecting and analyzing clinical data to advance the field. The VA is committed to leveraging these data and all available expertise to provide a clear description of the spectrum of disease in this population and improve our ability to diagnose, follow, and treat respiratory health conditions occurring after deployment to Southwest Asia and Afghanistan.
Case Conclusion
The veteran was referred to a PDCEN site and underwent a comprehensive multidisciplinary evaluation. Pulmonary function testing showed lung volumes and vital capacity within the predicted normal range, mild air trapping, and a low diffusion capacity for carbon monoxide. Methacholine challenge testing was normal; however, forced oscillometry suggested small airways obstruction. A high-resolution CT showed air trapping without parenchymal changes. Cardiopulmonary exercise testing demonstrated a peak exercise capacity within the predicted normal range but low breathing reserve. Otolaryngology evaluation including laryngoscopy suggested chronic nonallergic rhinitis.
At the end of the veteran’s evaluation, a summary review reported nonallergic rhinitis and distal airway obstruction consistent with small airways disease. Both were reported as most likely related to deployment given her significant environmental exposures and the temporal relationship with her deployment and symptom onset as well as lack of other identifiable causes. A more precise histopathologic diagnosis could be firmly established with a surgical lung biopsy, but after shared decision making with a PDCEN HCP, the patient declined to undergo this invasive procedure. After you review the summary review and recommendations from the PDCEN group, you start the veteran on intranasal steroids and a combined inhaled corticosteroid/long-acting β agonist inhaler as well as refer the veteran to pulmonary rehabilitation. After several weeks, she reports an improvement in sleep and nasal symptoms but continues to experience residual exercise intolerance.
This case serves as an example of the significant limitations that a previously active and healthy patient can develop after deployment to Southwest Asia and Afghanistan. Encouraging this veteran to complete the AHOBPR allowed her to be considered for a PDCEN evaluation that provided the opportunity to undergo a comprehensive noninvasive evaluation of her chronic dyspnea. In doing so, she obtained 2 important diagnoses and data from her evaluation will help establish best practices for standardized evaluations of respiratory concerns following deployment. Through the AHOBPR and PDCEN, the VA seeks to better understand postdeployment health conditions, their relationship to military and environmental exposures, and how best to diagnose and treat these conditions.
Acknowledgments
This work was supported by the US Department of Veterans Affairs (VA) Airborne Hazards and Burn Pits Center of Excellence (Public Law 115-929). The authors acknowledge support and contributions from Dr. Eric Shuping and leadership at VA’s Health Outcomes Military Exposures office as well as the New Jersey War Related Illness and Injury Study Center. In addition, we thank Erin McRoberts and Rajeev Swarup for their contributions to the Post-Deployment Cardiopulmonary Evaluation Network. Post-Deployment Cardiopulmonary Evaluation Network members:
Mehrdad Arjomandi, Caroline Davis, Michelle DeLuca, Nancy Eager, Courtney A. Eberhardt, Michael J. Falvo, Timothy Foley, Fiona A.S. Graff, Deborah Heaney, Stella E. Hines, Rachel E. Howard, Nisha Jani, Sheena Kamineni, Silpa Krefft, Mary L. Langlois, Helen Lozier, Simran K. Matharu, Anisa Moore, Lydia Patrick-DeLuca, Edward Pickering, Alexander Rabin, Michelle Robertson, Samantha L. Rogers, Aaron H. Schneider, Anand Shah, Anays Sotolongo, Jennifer H. Therkorn, Rebecca I. Toczylowski, Matthew Watson, Alison D. Wilczynski, Ian W. Wilson, Romi A. Yount.
1. Wenger J, O’Connell C, Cottrell L. Examination of recent deployment experience across the services and components. Exam. RAND Corporation; 2018. Accessed June 27, 2022. doi:10.7249/rr1928
2. Torreon BS. U.S. periods of war and dates of recent conflicts, RS21405. Congressional Research Service; 2017. June 5, 2020. Accessed June 27, 2022. https://crsreports.congress.gov/product/details?prodcode=RS21405
3. Dunigan M, Farmer CM, Burns RM, Hawks A, Setodji CM. Out of the shadows: the health and well-being of private contractors working in conflict environments. RAND Corporation; 2013. Accessed June 27, 2022. https://www.rand.org/pubs/research_reports/RR420.html
4. Szema AM, Peters MC, Weissinger KM, Gagliano CA, Chen JJ. New-onset asthma among soldiers serving in Iraq and Afghanistan. Allergy Asthma Proc. 2010;31(5):67-71. doi:10.2500/aap.2010.31.3383
5. Pugh MJ, Jaramillo CA, Leung KW, et al. Increasing prevalence of chronic lung disease in veterans of the wars in Iraq and Afghanistan. Mil Med. 2016;181(5):476-481. doi:10.7205/MILMED-D-15-00035
6. Falvo MJ, Osinubi OY, Sotolongo AM, Helmer DA. Airborne hazards exposure and respiratory health of Iraq and Afghanistan veterans. Epidemiol Rev. 2015;37:116-130. doi:10.1093/epirev/mxu009
7. McAndrew LM, Teichman RF, Osinubi OY, Jasien JV, Quigley KS. Environmental exposure and health of Operation Enduring Freedom/Operation Iraqi Freedom veterans. J Occup Environ Med. 2012;54(6):665-669. doi:10.1097/JOM.0b013e318255ba1b
8. Smith B, Wong CA, Smith TC, Boyko EJ, Gackstetter GD; Margaret A. K. Ryan for the Millennium Cohort Study Team. Newly reported respiratory symptoms and conditions among military personnel deployed to Iraq and Afghanistan: a prospective population-based study. Am J Epidemiol. 2009;170(11):1433-1442. doi:10.1093/aje/kwp287
9. Szema AM, Salihi W, Savary K, Chen JJ. Respiratory symptoms necessitating spirometry among soldiers with Iraq/Afghanistan war lung injury. J Occup Environ Med. 2011;53(9):961-965. doi:10.1097/JOM.0b013e31822c9f05
10. Committee on the Long-Term Health Consequences of Exposure to Burn Pits in Iraq and Afghanistan; Institute of Medicine. Long-Term Health Consequences of Exposure to Burn Pits in Iraq and Afghanistan. The National Academies Press; 2011. Accessed June 27, 2022. doi:10.17226/1320911. National Academies of Sciences, Engineering, and Medicine. Respiratory Health Effects of Airborne Hazards Exposures in the Southwest Asia Theater of Military Operations. The National Academies Press; 2020. Accessed June 27, 2022. doi:10.17226/25837
12. Krefft SD, Wolff J, Zell-Baran L, et al. Respiratory diseases in post-9/11 military personnel following Southwest Asia deployment. J Occup Environ Med. 2020;62(5):337-343. doi:10.1097/JOM.0000000000001817
13. Gordetsky J, Kim C, Miller RF, Mehrad M. Non-necrotizing granulomatous pneumonitis and chronic pleuritis in soldiers deployed to Southwest Asia. Histopathology. 2020;77(3):453-459. doi:10.1111/his.14135
14. King MS, Eisenberg R, Newman JH, et al. Constrictive bronchiolitis in soldiers returning from Iraq and Afghanistan. N Engl J Med. 2011;365(3):222-230. doi:10.1056/NEJMoa1101388
15. Helmer DA, Rossignol M, Blatt M, Agarwal R, Teichman R, Lange G. Health and exposure concerns of veterans deployed to Iraq and Afghanistan. J Occup Environ Med. 2007;49(5):475-480. doi:10.1097/JOM.0b013e318042d682
16. Kim YH, Warren SH, Kooter I, et al. Chemistry, lung toxicity and mutagenicity of burn pit smoke-related particulate matter. Part Fibre Toxicol. 2021;18(1):45. Published 2021 Dec 16. doi:10.1186/s12989-021-00435-w
17. Engelbrecht JP, McDonald EV, Gillies JA, Jayanty RK, Casuccio G, Gertler AW. Characterizing mineral dusts and other aerosols from the Middle East—Part 1: ambient sampling. Inhal Toxicol. 2009;21(4):297-326. doi:10.1080/08958370802464273
18. US Army Public Health Command. Technical guide 230: environmental health risk assessment and chemical exposure guidelines for deployed military personnel, 2013 revision. Accessed June 27, 2022. https://phc.amedd.army.mil/PHC%20Resource%20Library/TG230-DeploymentEHRA-and-MEGs-2013-Revision.pdf
19. Anderson JO, Thundiyil JG, Stolbach A. Clearing the air: a review of the effects of particulate matter air pollution on human health. J Med Toxicol. 2012;8(2):166-175. doi:10.1007/s13181-011-0203-1
20. Shuping E, Schneiderman A. Resources on environmental exposures for military veterans. Am Fam Physician. 2020;101(12):709-710.
21. Masri S, Garshick E, Coull BA, Koutrakis P. A novel calibration approach using satellite and visibility observations to estimate fine particulate matter exposures in Southwest Asia and Afghanistan. J Air Waste Manag Assoc. 2017;67(1):86-95. doi:10.1080/10962247.2016.1230079
22. Gutor SS, Richmond BW, Du RH, et al. Postdeployment respiratory syndrome in soldiers with chronic exertional dyspnea. Am J Surg Pathol. 2021;45(12):1587-1596. doi:10.1097/PAS.0000000000001757
23. Goldman MD, Saadeh C, Ross D. Clinical applications of forced oscillation to assess peripheral airway function. Respir Physiol Neurobiol. 2005;148(1-2):179-194. doi:10.1016/j.resp.2005.05.026
24. Butzko RP, Sotolongo AM, Helmer DA, et al. Forced oscillation technique in veterans with preserved spirometry and chronic respiratory symptoms. Respir Physiol Neurobiol. 2019;260:8-16. doi:10.1016/j.resp.2018.11.012
25. Oppenheimer BW, Goldring RM, Herberg ME, et al. Distal airway function in symptomatic subjects with normal spirometry following World Trade Center dust exposure. Chest. 2007;132(4):1275-1282. doi:10.1378/chest.07-0913
26. Zell-Baran LM, Krefft SD, Moore CM, Wolff J, Meehan R, Rose CS. Multiple breath washout: a noninvasive tool for identifying lung disease in symptomatic military deployers. Respir Med. 2021;176:106281. doi:10.1016/j.rmed.2020.106281
27. Krefft SD, Strand M, Smith J, Stroup C, Meehan R, Rose C. Utility of lung clearance index testing as a noninvasive marker of deployment-related lung disease. J Occup Environ Med. 2017;59(8):707-711. doi:10.1097/JOM.000000000000105828. Davis CW, Lopez CL, Bell AJ, et al. The severity of functional small airways disease in military personnel with constrictive bronchiolitis as measured by quantitative CT [published online ahead of print, 2022 May 24]. Am J Respir Crit Care Med. 2022;10.1164/rccm.202201-0153LE. doi:10.1164/rccm.202201-0153LE
1. Wenger J, O’Connell C, Cottrell L. Examination of recent deployment experience across the services and components. Exam. RAND Corporation; 2018. Accessed June 27, 2022. doi:10.7249/rr1928
2. Torreon BS. U.S. periods of war and dates of recent conflicts, RS21405. Congressional Research Service; 2017. June 5, 2020. Accessed June 27, 2022. https://crsreports.congress.gov/product/details?prodcode=RS21405
3. Dunigan M, Farmer CM, Burns RM, Hawks A, Setodji CM. Out of the shadows: the health and well-being of private contractors working in conflict environments. RAND Corporation; 2013. Accessed June 27, 2022. https://www.rand.org/pubs/research_reports/RR420.html
4. Szema AM, Peters MC, Weissinger KM, Gagliano CA, Chen JJ. New-onset asthma among soldiers serving in Iraq and Afghanistan. Allergy Asthma Proc. 2010;31(5):67-71. doi:10.2500/aap.2010.31.3383
5. Pugh MJ, Jaramillo CA, Leung KW, et al. Increasing prevalence of chronic lung disease in veterans of the wars in Iraq and Afghanistan. Mil Med. 2016;181(5):476-481. doi:10.7205/MILMED-D-15-00035
6. Falvo MJ, Osinubi OY, Sotolongo AM, Helmer DA. Airborne hazards exposure and respiratory health of Iraq and Afghanistan veterans. Epidemiol Rev. 2015;37:116-130. doi:10.1093/epirev/mxu009
7. McAndrew LM, Teichman RF, Osinubi OY, Jasien JV, Quigley KS. Environmental exposure and health of Operation Enduring Freedom/Operation Iraqi Freedom veterans. J Occup Environ Med. 2012;54(6):665-669. doi:10.1097/JOM.0b013e318255ba1b
8. Smith B, Wong CA, Smith TC, Boyko EJ, Gackstetter GD; Margaret A. K. Ryan for the Millennium Cohort Study Team. Newly reported respiratory symptoms and conditions among military personnel deployed to Iraq and Afghanistan: a prospective population-based study. Am J Epidemiol. 2009;170(11):1433-1442. doi:10.1093/aje/kwp287
9. Szema AM, Salihi W, Savary K, Chen JJ. Respiratory symptoms necessitating spirometry among soldiers with Iraq/Afghanistan war lung injury. J Occup Environ Med. 2011;53(9):961-965. doi:10.1097/JOM.0b013e31822c9f05
10. Committee on the Long-Term Health Consequences of Exposure to Burn Pits in Iraq and Afghanistan; Institute of Medicine. Long-Term Health Consequences of Exposure to Burn Pits in Iraq and Afghanistan. The National Academies Press; 2011. Accessed June 27, 2022. doi:10.17226/1320911. National Academies of Sciences, Engineering, and Medicine. Respiratory Health Effects of Airborne Hazards Exposures in the Southwest Asia Theater of Military Operations. The National Academies Press; 2020. Accessed June 27, 2022. doi:10.17226/25837
12. Krefft SD, Wolff J, Zell-Baran L, et al. Respiratory diseases in post-9/11 military personnel following Southwest Asia deployment. J Occup Environ Med. 2020;62(5):337-343. doi:10.1097/JOM.0000000000001817
13. Gordetsky J, Kim C, Miller RF, Mehrad M. Non-necrotizing granulomatous pneumonitis and chronic pleuritis in soldiers deployed to Southwest Asia. Histopathology. 2020;77(3):453-459. doi:10.1111/his.14135
14. King MS, Eisenberg R, Newman JH, et al. Constrictive bronchiolitis in soldiers returning from Iraq and Afghanistan. N Engl J Med. 2011;365(3):222-230. doi:10.1056/NEJMoa1101388
15. Helmer DA, Rossignol M, Blatt M, Agarwal R, Teichman R, Lange G. Health and exposure concerns of veterans deployed to Iraq and Afghanistan. J Occup Environ Med. 2007;49(5):475-480. doi:10.1097/JOM.0b013e318042d682
16. Kim YH, Warren SH, Kooter I, et al. Chemistry, lung toxicity and mutagenicity of burn pit smoke-related particulate matter. Part Fibre Toxicol. 2021;18(1):45. Published 2021 Dec 16. doi:10.1186/s12989-021-00435-w
17. Engelbrecht JP, McDonald EV, Gillies JA, Jayanty RK, Casuccio G, Gertler AW. Characterizing mineral dusts and other aerosols from the Middle East—Part 1: ambient sampling. Inhal Toxicol. 2009;21(4):297-326. doi:10.1080/08958370802464273
18. US Army Public Health Command. Technical guide 230: environmental health risk assessment and chemical exposure guidelines for deployed military personnel, 2013 revision. Accessed June 27, 2022. https://phc.amedd.army.mil/PHC%20Resource%20Library/TG230-DeploymentEHRA-and-MEGs-2013-Revision.pdf
19. Anderson JO, Thundiyil JG, Stolbach A. Clearing the air: a review of the effects of particulate matter air pollution on human health. J Med Toxicol. 2012;8(2):166-175. doi:10.1007/s13181-011-0203-1
20. Shuping E, Schneiderman A. Resources on environmental exposures for military veterans. Am Fam Physician. 2020;101(12):709-710.
21. Masri S, Garshick E, Coull BA, Koutrakis P. A novel calibration approach using satellite and visibility observations to estimate fine particulate matter exposures in Southwest Asia and Afghanistan. J Air Waste Manag Assoc. 2017;67(1):86-95. doi:10.1080/10962247.2016.1230079
22. Gutor SS, Richmond BW, Du RH, et al. Postdeployment respiratory syndrome in soldiers with chronic exertional dyspnea. Am J Surg Pathol. 2021;45(12):1587-1596. doi:10.1097/PAS.0000000000001757
23. Goldman MD, Saadeh C, Ross D. Clinical applications of forced oscillation to assess peripheral airway function. Respir Physiol Neurobiol. 2005;148(1-2):179-194. doi:10.1016/j.resp.2005.05.026
24. Butzko RP, Sotolongo AM, Helmer DA, et al. Forced oscillation technique in veterans with preserved spirometry and chronic respiratory symptoms. Respir Physiol Neurobiol. 2019;260:8-16. doi:10.1016/j.resp.2018.11.012
25. Oppenheimer BW, Goldring RM, Herberg ME, et al. Distal airway function in symptomatic subjects with normal spirometry following World Trade Center dust exposure. Chest. 2007;132(4):1275-1282. doi:10.1378/chest.07-0913
26. Zell-Baran LM, Krefft SD, Moore CM, Wolff J, Meehan R, Rose CS. Multiple breath washout: a noninvasive tool for identifying lung disease in symptomatic military deployers. Respir Med. 2021;176:106281. doi:10.1016/j.rmed.2020.106281
27. Krefft SD, Strand M, Smith J, Stroup C, Meehan R, Rose C. Utility of lung clearance index testing as a noninvasive marker of deployment-related lung disease. J Occup Environ Med. 2017;59(8):707-711. doi:10.1097/JOM.000000000000105828. Davis CW, Lopez CL, Bell AJ, et al. The severity of functional small airways disease in military personnel with constrictive bronchiolitis as measured by quantitative CT [published online ahead of print, 2022 May 24]. Am J Respir Crit Care Med. 2022;10.1164/rccm.202201-0153LE. doi:10.1164/rccm.202201-0153LE