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Does weight loss surgery up the risk for bone fractures?
Currently, the two most common types of weight loss surgery performed include sleeve gastrectomy and Roux-en-Y gastric bypass (RYGB). Sleeve gastrectomy involves removing a large portion of the stomach so that its capacity is significantly decreased (to about 20%), reducing the ability to consume large quantities of food. Also, the procedure leads to marked reductions in ghrelin (an appetite-stimulating hormone), and some studies have reported increases in glucagon-like peptide 1 (GLP-1) and peptide YY (PYY), hormones that induce satiety. Gastric bypass involves creating a small stomach pouch and rerouting the small intestine so that it bypasses much of the stomach and also the upper portion of the small intestine. This reduces the amount of food that can be consumed at any time, increases levels of GLP-1 and PYY, and reduces absorption of nutrients with resultant weight loss. Less common bariatric surgeries include gastric banding and biliopancreatic diversion with duodenal switch (BPD-DS). Gastric banding involves placing a ring in the upper portion of the stomach, and the size of the pouch created can be altered by injecting more or less saline through a port inserted under the skin. BPD-DS includes sleeve gastrectomy, resection of a large section of the small intestine, and diversion of the pancreatic and biliary duct to a point below the junction of the ends of the resected gut.
Weight loss surgery is currently recommended for people who have a body mass index greater than or equal to 35 regardless of obesity-related complication and may be considered for those with a BMI greater than or equal to 30. BMI is calculated by dividing the weight (in kilograms) by the height (in meters). In children and adolescents, weight loss surgery should be considered in those with a BMI greater than 120% of the 95th percentile and with a major comorbidity or in those with a BMI greater than 140% of the 95th percentile.
What impact does weight loss surgery have on bone?
Multiple studies in both adults and teenagers have demonstrated that sleeve gastrectomy, RYGB, and BPD-DS (but not gastric banding) are associated with a decrease in bone density, impaired bone structure, and reduced strength estimates over time (Beavers et al; Gagnon, Schafer; Misra, Bredella). The relative risk for fracture after RYGB and BPD-DS is reported to be 1.2-2.3 (that is, 20%-130% more than normal), whereas fracture risk after sleeve gastrectomy is still under study with some conflicting results. Fracture risk starts to increase 2-3 years after surgery and peaks at 5-plus years after surgery. Most of the data for fractures come from studies in adults. With the rising use of weight loss surgery, particularly sleeve gastrectomy, in teenagers, studies are needed to determine fracture risk in this younger age group, who also seem to experience marked reductions in bone density, altered bone structure, and reduced bone strength after bariatric surgery.
What contributes to impaired bone health after weight loss surgery?
The deleterious effect of weight loss surgery on bone appears to be caused by various factors, including the massive and rapid weight loss that occurs after surgery, because body weight has a mechanical loading effect on bone and otherwise promotes bone formation. Weight loss results in mechanical unloading and thus a decrease in bone density. Further, when weight loss occurs, there is loss of both muscle and fat mass, and the reduction in muscle mass is deleterious to bone.
Other possible causes of bone density reduction include reduced absorption of certain nutrients, such as calcium and vitamin D critical for bone mineralization, and alterations in certain hormones that impact bone health. These include increases in parathyroid hormone, which increases bone loss when secreted in excess; increases in PYY (a hormone that reduces bone formation); decreases in ghrelin (a hormone that typically increases bone formation), particularly after sleeve gastrectomy; and decreases in estrone (a kind of estrogen that like other estrogens prevents bone loss). Further, age and gender may modify the bone consequences of surgery as outcomes in postmenopausal women appear to be worse than in younger women and men.
Preventing bone density loss
Given the many benefits of weight loss surgery, what can we do to prevent this decrease in bone density after surgery? It’s important for people undergoing weight loss surgery to be cognizant of this potentially negative outcome and to take appropriate precautions to mitigate this concern.
We should monitor bone density after surgery with the help of dual energy x-ray absorptiometry, starting a few years after surgery, particularly in those who are at greatest risk for fracture, so that we can be proactive about addressing any severe bone loss that warrants pharmacologic intervention.
More general recommendations include optimizing intake of calcium (1,200-1,500 mg/d), vitamin D (2,000-3,000 IUs/d), and protein (60-75 g/d) via diet and/or as supplements and engaging in weight-bearing physical activity because this exerts mechanical loading effects on the skeleton leading to increased bone formation and also increases muscle mass over time, which is beneficial to bone. A progressive resistance training program has been demonstrated to have beneficial effects on bone, and measures should be taken to reduce the risk for falls, which increases after certain kinds of weight loss surgery, such as gastric bypass.
Meeting with a dietitian can help determine any other nutrients that need to be optimized.
Though many hormonal changes after surgery have been linked to reductions in bone density, there are still no recommended hormonal therapies at this time, and more work is required to determine whether specific pharmacologic therapies might help improve bone outcomes after surgery.
Dr. Misra is chief of the division of pediatric endocrinology, Mass General for Children; associate director, Harvard Catalyst Translation and Clinical Research Center; director, Pediatric Endocrine-Sports Endocrine-Neuroendocrine Lab, Mass General Hospital; and professor, department of pediatrics, Harvard Medical School, Boston.
A version of this article originally appeared on Medscape.com.
Currently, the two most common types of weight loss surgery performed include sleeve gastrectomy and Roux-en-Y gastric bypass (RYGB). Sleeve gastrectomy involves removing a large portion of the stomach so that its capacity is significantly decreased (to about 20%), reducing the ability to consume large quantities of food. Also, the procedure leads to marked reductions in ghrelin (an appetite-stimulating hormone), and some studies have reported increases in glucagon-like peptide 1 (GLP-1) and peptide YY (PYY), hormones that induce satiety. Gastric bypass involves creating a small stomach pouch and rerouting the small intestine so that it bypasses much of the stomach and also the upper portion of the small intestine. This reduces the amount of food that can be consumed at any time, increases levels of GLP-1 and PYY, and reduces absorption of nutrients with resultant weight loss. Less common bariatric surgeries include gastric banding and biliopancreatic diversion with duodenal switch (BPD-DS). Gastric banding involves placing a ring in the upper portion of the stomach, and the size of the pouch created can be altered by injecting more or less saline through a port inserted under the skin. BPD-DS includes sleeve gastrectomy, resection of a large section of the small intestine, and diversion of the pancreatic and biliary duct to a point below the junction of the ends of the resected gut.
Weight loss surgery is currently recommended for people who have a body mass index greater than or equal to 35 regardless of obesity-related complication and may be considered for those with a BMI greater than or equal to 30. BMI is calculated by dividing the weight (in kilograms) by the height (in meters). In children and adolescents, weight loss surgery should be considered in those with a BMI greater than 120% of the 95th percentile and with a major comorbidity or in those with a BMI greater than 140% of the 95th percentile.
What impact does weight loss surgery have on bone?
Multiple studies in both adults and teenagers have demonstrated that sleeve gastrectomy, RYGB, and BPD-DS (but not gastric banding) are associated with a decrease in bone density, impaired bone structure, and reduced strength estimates over time (Beavers et al; Gagnon, Schafer; Misra, Bredella). The relative risk for fracture after RYGB and BPD-DS is reported to be 1.2-2.3 (that is, 20%-130% more than normal), whereas fracture risk after sleeve gastrectomy is still under study with some conflicting results. Fracture risk starts to increase 2-3 years after surgery and peaks at 5-plus years after surgery. Most of the data for fractures come from studies in adults. With the rising use of weight loss surgery, particularly sleeve gastrectomy, in teenagers, studies are needed to determine fracture risk in this younger age group, who also seem to experience marked reductions in bone density, altered bone structure, and reduced bone strength after bariatric surgery.
What contributes to impaired bone health after weight loss surgery?
The deleterious effect of weight loss surgery on bone appears to be caused by various factors, including the massive and rapid weight loss that occurs after surgery, because body weight has a mechanical loading effect on bone and otherwise promotes bone formation. Weight loss results in mechanical unloading and thus a decrease in bone density. Further, when weight loss occurs, there is loss of both muscle and fat mass, and the reduction in muscle mass is deleterious to bone.
Other possible causes of bone density reduction include reduced absorption of certain nutrients, such as calcium and vitamin D critical for bone mineralization, and alterations in certain hormones that impact bone health. These include increases in parathyroid hormone, which increases bone loss when secreted in excess; increases in PYY (a hormone that reduces bone formation); decreases in ghrelin (a hormone that typically increases bone formation), particularly after sleeve gastrectomy; and decreases in estrone (a kind of estrogen that like other estrogens prevents bone loss). Further, age and gender may modify the bone consequences of surgery as outcomes in postmenopausal women appear to be worse than in younger women and men.
Preventing bone density loss
Given the many benefits of weight loss surgery, what can we do to prevent this decrease in bone density after surgery? It’s important for people undergoing weight loss surgery to be cognizant of this potentially negative outcome and to take appropriate precautions to mitigate this concern.
We should monitor bone density after surgery with the help of dual energy x-ray absorptiometry, starting a few years after surgery, particularly in those who are at greatest risk for fracture, so that we can be proactive about addressing any severe bone loss that warrants pharmacologic intervention.
More general recommendations include optimizing intake of calcium (1,200-1,500 mg/d), vitamin D (2,000-3,000 IUs/d), and protein (60-75 g/d) via diet and/or as supplements and engaging in weight-bearing physical activity because this exerts mechanical loading effects on the skeleton leading to increased bone formation and also increases muscle mass over time, which is beneficial to bone. A progressive resistance training program has been demonstrated to have beneficial effects on bone, and measures should be taken to reduce the risk for falls, which increases after certain kinds of weight loss surgery, such as gastric bypass.
Meeting with a dietitian can help determine any other nutrients that need to be optimized.
Though many hormonal changes after surgery have been linked to reductions in bone density, there are still no recommended hormonal therapies at this time, and more work is required to determine whether specific pharmacologic therapies might help improve bone outcomes after surgery.
Dr. Misra is chief of the division of pediatric endocrinology, Mass General for Children; associate director, Harvard Catalyst Translation and Clinical Research Center; director, Pediatric Endocrine-Sports Endocrine-Neuroendocrine Lab, Mass General Hospital; and professor, department of pediatrics, Harvard Medical School, Boston.
A version of this article originally appeared on Medscape.com.
Currently, the two most common types of weight loss surgery performed include sleeve gastrectomy and Roux-en-Y gastric bypass (RYGB). Sleeve gastrectomy involves removing a large portion of the stomach so that its capacity is significantly decreased (to about 20%), reducing the ability to consume large quantities of food. Also, the procedure leads to marked reductions in ghrelin (an appetite-stimulating hormone), and some studies have reported increases in glucagon-like peptide 1 (GLP-1) and peptide YY (PYY), hormones that induce satiety. Gastric bypass involves creating a small stomach pouch and rerouting the small intestine so that it bypasses much of the stomach and also the upper portion of the small intestine. This reduces the amount of food that can be consumed at any time, increases levels of GLP-1 and PYY, and reduces absorption of nutrients with resultant weight loss. Less common bariatric surgeries include gastric banding and biliopancreatic diversion with duodenal switch (BPD-DS). Gastric banding involves placing a ring in the upper portion of the stomach, and the size of the pouch created can be altered by injecting more or less saline through a port inserted under the skin. BPD-DS includes sleeve gastrectomy, resection of a large section of the small intestine, and diversion of the pancreatic and biliary duct to a point below the junction of the ends of the resected gut.
Weight loss surgery is currently recommended for people who have a body mass index greater than or equal to 35 regardless of obesity-related complication and may be considered for those with a BMI greater than or equal to 30. BMI is calculated by dividing the weight (in kilograms) by the height (in meters). In children and adolescents, weight loss surgery should be considered in those with a BMI greater than 120% of the 95th percentile and with a major comorbidity or in those with a BMI greater than 140% of the 95th percentile.
What impact does weight loss surgery have on bone?
Multiple studies in both adults and teenagers have demonstrated that sleeve gastrectomy, RYGB, and BPD-DS (but not gastric banding) are associated with a decrease in bone density, impaired bone structure, and reduced strength estimates over time (Beavers et al; Gagnon, Schafer; Misra, Bredella). The relative risk for fracture after RYGB and BPD-DS is reported to be 1.2-2.3 (that is, 20%-130% more than normal), whereas fracture risk after sleeve gastrectomy is still under study with some conflicting results. Fracture risk starts to increase 2-3 years after surgery and peaks at 5-plus years after surgery. Most of the data for fractures come from studies in adults. With the rising use of weight loss surgery, particularly sleeve gastrectomy, in teenagers, studies are needed to determine fracture risk in this younger age group, who also seem to experience marked reductions in bone density, altered bone structure, and reduced bone strength after bariatric surgery.
What contributes to impaired bone health after weight loss surgery?
The deleterious effect of weight loss surgery on bone appears to be caused by various factors, including the massive and rapid weight loss that occurs after surgery, because body weight has a mechanical loading effect on bone and otherwise promotes bone formation. Weight loss results in mechanical unloading and thus a decrease in bone density. Further, when weight loss occurs, there is loss of both muscle and fat mass, and the reduction in muscle mass is deleterious to bone.
Other possible causes of bone density reduction include reduced absorption of certain nutrients, such as calcium and vitamin D critical for bone mineralization, and alterations in certain hormones that impact bone health. These include increases in parathyroid hormone, which increases bone loss when secreted in excess; increases in PYY (a hormone that reduces bone formation); decreases in ghrelin (a hormone that typically increases bone formation), particularly after sleeve gastrectomy; and decreases in estrone (a kind of estrogen that like other estrogens prevents bone loss). Further, age and gender may modify the bone consequences of surgery as outcomes in postmenopausal women appear to be worse than in younger women and men.
Preventing bone density loss
Given the many benefits of weight loss surgery, what can we do to prevent this decrease in bone density after surgery? It’s important for people undergoing weight loss surgery to be cognizant of this potentially negative outcome and to take appropriate precautions to mitigate this concern.
We should monitor bone density after surgery with the help of dual energy x-ray absorptiometry, starting a few years after surgery, particularly in those who are at greatest risk for fracture, so that we can be proactive about addressing any severe bone loss that warrants pharmacologic intervention.
More general recommendations include optimizing intake of calcium (1,200-1,500 mg/d), vitamin D (2,000-3,000 IUs/d), and protein (60-75 g/d) via diet and/or as supplements and engaging in weight-bearing physical activity because this exerts mechanical loading effects on the skeleton leading to increased bone formation and also increases muscle mass over time, which is beneficial to bone. A progressive resistance training program has been demonstrated to have beneficial effects on bone, and measures should be taken to reduce the risk for falls, which increases after certain kinds of weight loss surgery, such as gastric bypass.
Meeting with a dietitian can help determine any other nutrients that need to be optimized.
Though many hormonal changes after surgery have been linked to reductions in bone density, there are still no recommended hormonal therapies at this time, and more work is required to determine whether specific pharmacologic therapies might help improve bone outcomes after surgery.
Dr. Misra is chief of the division of pediatric endocrinology, Mass General for Children; associate director, Harvard Catalyst Translation and Clinical Research Center; director, Pediatric Endocrine-Sports Endocrine-Neuroendocrine Lab, Mass General Hospital; and professor, department of pediatrics, Harvard Medical School, Boston.
A version of this article originally appeared on Medscape.com.
Menopause and long COVID: What women should know
British researchers have noted that women at midlife who have long COVID seem to get specific, and severe, symptoms, including brain fog, fatigue, new-onset dizziness, and difficulty sleeping through the night.
Doctors also think it’s possible that long COVID worsens the symptoms of perimenopause and menopause. Lower levels of estrogen and testosterone appear to be the reason.
“A long COVID theory is that there is a temporary disruption to physiological ovarian steroid hormone production, which could [worsen] symptoms of perimenopause and menopause,” said JoAnn V. Pinkerton, MD, professor of obstetrics at the University of Virginia, Charlottesville, and executive director of the North American Menopause Society.
Long COVID symptoms and menopause symptoms can also be very hard to tell apart.
Another U.K. study cautions that because of this kind of symptom overlap, women at midlife may be misdiagnosed. Research from the North American Menopause Society shows that many women may have trouble recovering from long COVID unless their hormone deficiency is treated.
What are the symptoms of long COVID?
There are over 200 symptoms that have been associated with long COVID, according to the American Medical Association. Some common symptoms are currently defined as the following: feeling extremely tired, feeling depleted after exertion, cognitive issues such as brain fog, heart beating over 100 times a minute, and a loss of sense of smell and taste.
Long COVID symptoms begin a few weeks to a few months after a COVID infection. They can last an indefinite amount of time, but “the hope is that long COVID will not be lifelong,” said Clare Flannery, MD, an endocrinologist and associate professor in the departments of obstetrics, gynecology and reproductive sciences and internal medicine at Yale University, New Haven, Conn.
What are the symptoms of menopause?
Some symptoms of menopause include vaginal infections, irregular bleeding, urinary problems, and sexual problems.
Women in their middle years have other symptoms that can be the same as perimenopause/menopause symptoms.
“Common symptoms of perimenopause and menopause which may also be symptoms ascribed to long COVID include hot flashes, night sweats, disrupted sleep, low mood, depression or anxiety, decreased concentration, memory problems, joint and muscle pains, and headaches,” Dr. Pinkerton said.
Can long COVID actually bring on menopause?
In short: Possibly.
A new study from the Massachusetts Institute of Technology/Patient-Led Research Collaborative/University of California, San Francisco, found that long COVID can cause disruptions to a woman’s menstrual cycle, ovaries, fertility, and menopause itself.
This could be caused by chronic inflammation caused by long COVID on hormones as well. This kind of inflammatory response could explain irregularities in a woman’s menstrual cycle, according to the Newson Health Research and Education study. For instance, “when the body has inflammation, ovulation can happen,” Dr. Flannery said.
The mechanism for how long COVID could spur menopause can also involve a woman’s ovaries.
“Since the theory is that COVID affects the ovary with declines in ovarian reserve and ovarian function, it makes sense that long COVID could bring on symptoms of perimenopause or menopause more acutely or more severely and lengthen the symptoms of the perimenopause and menopausal transition,” Dr. Pinkerton said.
How can hormone replacement therapy benefit women dealing with long COVID during menopause?
Estradiol, the strongest estrogen hormone in a woman’s body, has already been shown to have a positive effect against COVID.
“Estradiol therapy treats symptoms more aggressively in the setting of long COVID,” said Dr. Flannery.
Estradiol is also a form of hormone therapy for menopause symptoms.
“Estradiol has been shown to help hot flashes, night sweats, and sleep and improve mood during perimenopause,” said Dr. Pinkerton. “So it’s likely that perimenopausal or menopausal women with long COVID would see improvements both due to the action of estradiol on the ovary seen during COVID and the improvements in symptoms.”
Estrogen-based hormone therapy has been linked to an increased risk for endometrial, breast, and ovarian cancer, according to the American Cancer Society. This means you should carefully consider how comfortable you are with those additional risks before starting this kind of therapy.
“Which of your symptoms are the most difficult to manage? You may see if you can navigate one to three of them. What are you willing to do for your symptoms? If a woman is willing to favor her sleep for the next 6 months to a year, she may be willing to change how she perceives her risk for cancer,” Dr. Flannery said. “What risk is a woman willing to take? I think if someone has a very low concern about a risk of cancer, and she’s suffering a disrupted life, then taking estradiol in a 1- to 2-year trial period could be critical to help.”
What else can help ease long COVID during menopause?
Getting the COVID vaccine, as well as getting a booster, could help. Not only will this help prevent people from being reinfected with COVID, which can worsen symptoms, but a new Swedish study says there is no evidence that it will cause postmenopausal problems like irregular bleeding.
“Weak and inconsistent associations were observed between SARS-CoV-2 vaccination and healthcare contacts for bleeding in women who are postmenopausal, and even less evidence was recorded of an association for menstrual disturbance or bleeding in women who were premenopausal,” said study coauthor Rickard Ljung, MD, PhD, MPH, professor and acting head of the pharmacoepidemiology and analysis department in the division of use and information of the Swedish Medical Products Agency in Uppsala.
A version of this article first appeared on WebMD.com.
British researchers have noted that women at midlife who have long COVID seem to get specific, and severe, symptoms, including brain fog, fatigue, new-onset dizziness, and difficulty sleeping through the night.
Doctors also think it’s possible that long COVID worsens the symptoms of perimenopause and menopause. Lower levels of estrogen and testosterone appear to be the reason.
“A long COVID theory is that there is a temporary disruption to physiological ovarian steroid hormone production, which could [worsen] symptoms of perimenopause and menopause,” said JoAnn V. Pinkerton, MD, professor of obstetrics at the University of Virginia, Charlottesville, and executive director of the North American Menopause Society.
Long COVID symptoms and menopause symptoms can also be very hard to tell apart.
Another U.K. study cautions that because of this kind of symptom overlap, women at midlife may be misdiagnosed. Research from the North American Menopause Society shows that many women may have trouble recovering from long COVID unless their hormone deficiency is treated.
What are the symptoms of long COVID?
There are over 200 symptoms that have been associated with long COVID, according to the American Medical Association. Some common symptoms are currently defined as the following: feeling extremely tired, feeling depleted after exertion, cognitive issues such as brain fog, heart beating over 100 times a minute, and a loss of sense of smell and taste.
Long COVID symptoms begin a few weeks to a few months after a COVID infection. They can last an indefinite amount of time, but “the hope is that long COVID will not be lifelong,” said Clare Flannery, MD, an endocrinologist and associate professor in the departments of obstetrics, gynecology and reproductive sciences and internal medicine at Yale University, New Haven, Conn.
What are the symptoms of menopause?
Some symptoms of menopause include vaginal infections, irregular bleeding, urinary problems, and sexual problems.
Women in their middle years have other symptoms that can be the same as perimenopause/menopause symptoms.
“Common symptoms of perimenopause and menopause which may also be symptoms ascribed to long COVID include hot flashes, night sweats, disrupted sleep, low mood, depression or anxiety, decreased concentration, memory problems, joint and muscle pains, and headaches,” Dr. Pinkerton said.
Can long COVID actually bring on menopause?
In short: Possibly.
A new study from the Massachusetts Institute of Technology/Patient-Led Research Collaborative/University of California, San Francisco, found that long COVID can cause disruptions to a woman’s menstrual cycle, ovaries, fertility, and menopause itself.
This could be caused by chronic inflammation caused by long COVID on hormones as well. This kind of inflammatory response could explain irregularities in a woman’s menstrual cycle, according to the Newson Health Research and Education study. For instance, “when the body has inflammation, ovulation can happen,” Dr. Flannery said.
The mechanism for how long COVID could spur menopause can also involve a woman’s ovaries.
“Since the theory is that COVID affects the ovary with declines in ovarian reserve and ovarian function, it makes sense that long COVID could bring on symptoms of perimenopause or menopause more acutely or more severely and lengthen the symptoms of the perimenopause and menopausal transition,” Dr. Pinkerton said.
How can hormone replacement therapy benefit women dealing with long COVID during menopause?
Estradiol, the strongest estrogen hormone in a woman’s body, has already been shown to have a positive effect against COVID.
“Estradiol therapy treats symptoms more aggressively in the setting of long COVID,” said Dr. Flannery.
Estradiol is also a form of hormone therapy for menopause symptoms.
“Estradiol has been shown to help hot flashes, night sweats, and sleep and improve mood during perimenopause,” said Dr. Pinkerton. “So it’s likely that perimenopausal or menopausal women with long COVID would see improvements both due to the action of estradiol on the ovary seen during COVID and the improvements in symptoms.”
Estrogen-based hormone therapy has been linked to an increased risk for endometrial, breast, and ovarian cancer, according to the American Cancer Society. This means you should carefully consider how comfortable you are with those additional risks before starting this kind of therapy.
“Which of your symptoms are the most difficult to manage? You may see if you can navigate one to three of them. What are you willing to do for your symptoms? If a woman is willing to favor her sleep for the next 6 months to a year, she may be willing to change how she perceives her risk for cancer,” Dr. Flannery said. “What risk is a woman willing to take? I think if someone has a very low concern about a risk of cancer, and she’s suffering a disrupted life, then taking estradiol in a 1- to 2-year trial period could be critical to help.”
What else can help ease long COVID during menopause?
Getting the COVID vaccine, as well as getting a booster, could help. Not only will this help prevent people from being reinfected with COVID, which can worsen symptoms, but a new Swedish study says there is no evidence that it will cause postmenopausal problems like irregular bleeding.
“Weak and inconsistent associations were observed between SARS-CoV-2 vaccination and healthcare contacts for bleeding in women who are postmenopausal, and even less evidence was recorded of an association for menstrual disturbance or bleeding in women who were premenopausal,” said study coauthor Rickard Ljung, MD, PhD, MPH, professor and acting head of the pharmacoepidemiology and analysis department in the division of use and information of the Swedish Medical Products Agency in Uppsala.
A version of this article first appeared on WebMD.com.
British researchers have noted that women at midlife who have long COVID seem to get specific, and severe, symptoms, including brain fog, fatigue, new-onset dizziness, and difficulty sleeping through the night.
Doctors also think it’s possible that long COVID worsens the symptoms of perimenopause and menopause. Lower levels of estrogen and testosterone appear to be the reason.
“A long COVID theory is that there is a temporary disruption to physiological ovarian steroid hormone production, which could [worsen] symptoms of perimenopause and menopause,” said JoAnn V. Pinkerton, MD, professor of obstetrics at the University of Virginia, Charlottesville, and executive director of the North American Menopause Society.
Long COVID symptoms and menopause symptoms can also be very hard to tell apart.
Another U.K. study cautions that because of this kind of symptom overlap, women at midlife may be misdiagnosed. Research from the North American Menopause Society shows that many women may have trouble recovering from long COVID unless their hormone deficiency is treated.
What are the symptoms of long COVID?
There are over 200 symptoms that have been associated with long COVID, according to the American Medical Association. Some common symptoms are currently defined as the following: feeling extremely tired, feeling depleted after exertion, cognitive issues such as brain fog, heart beating over 100 times a minute, and a loss of sense of smell and taste.
Long COVID symptoms begin a few weeks to a few months after a COVID infection. They can last an indefinite amount of time, but “the hope is that long COVID will not be lifelong,” said Clare Flannery, MD, an endocrinologist and associate professor in the departments of obstetrics, gynecology and reproductive sciences and internal medicine at Yale University, New Haven, Conn.
What are the symptoms of menopause?
Some symptoms of menopause include vaginal infections, irregular bleeding, urinary problems, and sexual problems.
Women in their middle years have other symptoms that can be the same as perimenopause/menopause symptoms.
“Common symptoms of perimenopause and menopause which may also be symptoms ascribed to long COVID include hot flashes, night sweats, disrupted sleep, low mood, depression or anxiety, decreased concentration, memory problems, joint and muscle pains, and headaches,” Dr. Pinkerton said.
Can long COVID actually bring on menopause?
In short: Possibly.
A new study from the Massachusetts Institute of Technology/Patient-Led Research Collaborative/University of California, San Francisco, found that long COVID can cause disruptions to a woman’s menstrual cycle, ovaries, fertility, and menopause itself.
This could be caused by chronic inflammation caused by long COVID on hormones as well. This kind of inflammatory response could explain irregularities in a woman’s menstrual cycle, according to the Newson Health Research and Education study. For instance, “when the body has inflammation, ovulation can happen,” Dr. Flannery said.
The mechanism for how long COVID could spur menopause can also involve a woman’s ovaries.
“Since the theory is that COVID affects the ovary with declines in ovarian reserve and ovarian function, it makes sense that long COVID could bring on symptoms of perimenopause or menopause more acutely or more severely and lengthen the symptoms of the perimenopause and menopausal transition,” Dr. Pinkerton said.
How can hormone replacement therapy benefit women dealing with long COVID during menopause?
Estradiol, the strongest estrogen hormone in a woman’s body, has already been shown to have a positive effect against COVID.
“Estradiol therapy treats symptoms more aggressively in the setting of long COVID,” said Dr. Flannery.
Estradiol is also a form of hormone therapy for menopause symptoms.
“Estradiol has been shown to help hot flashes, night sweats, and sleep and improve mood during perimenopause,” said Dr. Pinkerton. “So it’s likely that perimenopausal or menopausal women with long COVID would see improvements both due to the action of estradiol on the ovary seen during COVID and the improvements in symptoms.”
Estrogen-based hormone therapy has been linked to an increased risk for endometrial, breast, and ovarian cancer, according to the American Cancer Society. This means you should carefully consider how comfortable you are with those additional risks before starting this kind of therapy.
“Which of your symptoms are the most difficult to manage? You may see if you can navigate one to three of them. What are you willing to do for your symptoms? If a woman is willing to favor her sleep for the next 6 months to a year, she may be willing to change how she perceives her risk for cancer,” Dr. Flannery said. “What risk is a woman willing to take? I think if someone has a very low concern about a risk of cancer, and she’s suffering a disrupted life, then taking estradiol in a 1- to 2-year trial period could be critical to help.”
What else can help ease long COVID during menopause?
Getting the COVID vaccine, as well as getting a booster, could help. Not only will this help prevent people from being reinfected with COVID, which can worsen symptoms, but a new Swedish study says there is no evidence that it will cause postmenopausal problems like irregular bleeding.
“Weak and inconsistent associations were observed between SARS-CoV-2 vaccination and healthcare contacts for bleeding in women who are postmenopausal, and even less evidence was recorded of an association for menstrual disturbance or bleeding in women who were premenopausal,” said study coauthor Rickard Ljung, MD, PhD, MPH, professor and acting head of the pharmacoepidemiology and analysis department in the division of use and information of the Swedish Medical Products Agency in Uppsala.
A version of this article first appeared on WebMD.com.
Significant increase in vitamin D deficiency in kids with major depressive disorder
SAN FRANCISCO – , according to new findings that suggest spending more time indoors may have fueled this uptick.
“We suspect that this may be due to the COVID lockdowns and kids schooling from home and having less time outside,” study investigator Oluwatomiwa Babade, MD, MPH, with Virginia Tech Carilion School of Medicine, Roanoke, Va., said in an interview.
The study was presented at the annual meeting of the American Psychiatric Association.
Anecdotal observation confirmed
During the pandemic, investigators noticed an uptick in the number of children and adolescents attending their clinic for psychiatric hospitalization who had low vitamin D levels.
To investigate, they analyzed the records of all patients aged 6-17 years with psychiatric diagnoses and vitamin D level assessment who were admitted into the inpatient psychiatry unit from March 18, 2020, to June 30, 2021.
Among 599 unique patients, 275 (83% female) had a diagnosis of MDD and 226 of these patients were vitamin D deficient (< 30 ng/mL) – a prevalence rate of roughly 82%. Among 246 patients with psychiatric disorders other than MDD, the prevalence of vitamin D deficiency was 76%.
“This was very surprising and much higher than prior to the pandemic. Prior to COVID, the prevalence of vitamin D deficiency was around 14% in similar patients,” Dr. Babade said.
“Now that we are post-lockdown, it would be good to repeat the study. I think the prevalence should drop. That’s my guess,” he added.
Important research, no surprises
In a comment, Cemre Robinson, MD, director of the Mount Sinai Pediatric Bone Health and Calcium Metabolism Clinic, New York, said that although the study’s findings aren’t surprising, “it’s important to present such data in adolescents with major depression.”
“These findings reiterate the importance of screening for vitamin D deficiency in children and adolescents, with or without depression, particularly during winter, which is associated with less sun exposure,” Dr. Robinson, assistant professor of pediatrics, endocrinology, and diabetes at Icahn School of Medicine at Mount Sinai, said.
She noted that vitamin D deficiency is prevalent in the general population, and it can be easily corrected with supplementation.
“Vitamin D is important for bone growth, mineralization, and accretion as well as calcium absorption. Adolescence, in particular, is a period of rapid physical, cognitive, and psychosocial growth,” Dr. Robinson said.
“The requirement of all minerals and vitamins changes in this phase of life. Therefore, it is important to have sufficient vitamin D levels during adolescence for several health benefits,” she noted.
Dr. Robinson said that “more research is needed to validate the present findings in adolescents with major depression, and larger studies, including randomized control trials, are required to establish a causal association between MDD and vitamin D deficiency.”
The study had no specific funding. Dr. Babade and Dr. Robinson report no relevant financial relationships.
A version of this article first appeared on Medscape.com.
SAN FRANCISCO – , according to new findings that suggest spending more time indoors may have fueled this uptick.
“We suspect that this may be due to the COVID lockdowns and kids schooling from home and having less time outside,” study investigator Oluwatomiwa Babade, MD, MPH, with Virginia Tech Carilion School of Medicine, Roanoke, Va., said in an interview.
The study was presented at the annual meeting of the American Psychiatric Association.
Anecdotal observation confirmed
During the pandemic, investigators noticed an uptick in the number of children and adolescents attending their clinic for psychiatric hospitalization who had low vitamin D levels.
To investigate, they analyzed the records of all patients aged 6-17 years with psychiatric diagnoses and vitamin D level assessment who were admitted into the inpatient psychiatry unit from March 18, 2020, to June 30, 2021.
Among 599 unique patients, 275 (83% female) had a diagnosis of MDD and 226 of these patients were vitamin D deficient (< 30 ng/mL) – a prevalence rate of roughly 82%. Among 246 patients with psychiatric disorders other than MDD, the prevalence of vitamin D deficiency was 76%.
“This was very surprising and much higher than prior to the pandemic. Prior to COVID, the prevalence of vitamin D deficiency was around 14% in similar patients,” Dr. Babade said.
“Now that we are post-lockdown, it would be good to repeat the study. I think the prevalence should drop. That’s my guess,” he added.
Important research, no surprises
In a comment, Cemre Robinson, MD, director of the Mount Sinai Pediatric Bone Health and Calcium Metabolism Clinic, New York, said that although the study’s findings aren’t surprising, “it’s important to present such data in adolescents with major depression.”
“These findings reiterate the importance of screening for vitamin D deficiency in children and adolescents, with or without depression, particularly during winter, which is associated with less sun exposure,” Dr. Robinson, assistant professor of pediatrics, endocrinology, and diabetes at Icahn School of Medicine at Mount Sinai, said.
She noted that vitamin D deficiency is prevalent in the general population, and it can be easily corrected with supplementation.
“Vitamin D is important for bone growth, mineralization, and accretion as well as calcium absorption. Adolescence, in particular, is a period of rapid physical, cognitive, and psychosocial growth,” Dr. Robinson said.
“The requirement of all minerals and vitamins changes in this phase of life. Therefore, it is important to have sufficient vitamin D levels during adolescence for several health benefits,” she noted.
Dr. Robinson said that “more research is needed to validate the present findings in adolescents with major depression, and larger studies, including randomized control trials, are required to establish a causal association between MDD and vitamin D deficiency.”
The study had no specific funding. Dr. Babade and Dr. Robinson report no relevant financial relationships.
A version of this article first appeared on Medscape.com.
SAN FRANCISCO – , according to new findings that suggest spending more time indoors may have fueled this uptick.
“We suspect that this may be due to the COVID lockdowns and kids schooling from home and having less time outside,” study investigator Oluwatomiwa Babade, MD, MPH, with Virginia Tech Carilion School of Medicine, Roanoke, Va., said in an interview.
The study was presented at the annual meeting of the American Psychiatric Association.
Anecdotal observation confirmed
During the pandemic, investigators noticed an uptick in the number of children and adolescents attending their clinic for psychiatric hospitalization who had low vitamin D levels.
To investigate, they analyzed the records of all patients aged 6-17 years with psychiatric diagnoses and vitamin D level assessment who were admitted into the inpatient psychiatry unit from March 18, 2020, to June 30, 2021.
Among 599 unique patients, 275 (83% female) had a diagnosis of MDD and 226 of these patients were vitamin D deficient (< 30 ng/mL) – a prevalence rate of roughly 82%. Among 246 patients with psychiatric disorders other than MDD, the prevalence of vitamin D deficiency was 76%.
“This was very surprising and much higher than prior to the pandemic. Prior to COVID, the prevalence of vitamin D deficiency was around 14% in similar patients,” Dr. Babade said.
“Now that we are post-lockdown, it would be good to repeat the study. I think the prevalence should drop. That’s my guess,” he added.
Important research, no surprises
In a comment, Cemre Robinson, MD, director of the Mount Sinai Pediatric Bone Health and Calcium Metabolism Clinic, New York, said that although the study’s findings aren’t surprising, “it’s important to present such data in adolescents with major depression.”
“These findings reiterate the importance of screening for vitamin D deficiency in children and adolescents, with or without depression, particularly during winter, which is associated with less sun exposure,” Dr. Robinson, assistant professor of pediatrics, endocrinology, and diabetes at Icahn School of Medicine at Mount Sinai, said.
She noted that vitamin D deficiency is prevalent in the general population, and it can be easily corrected with supplementation.
“Vitamin D is important for bone growth, mineralization, and accretion as well as calcium absorption. Adolescence, in particular, is a period of rapid physical, cognitive, and psychosocial growth,” Dr. Robinson said.
“The requirement of all minerals and vitamins changes in this phase of life. Therefore, it is important to have sufficient vitamin D levels during adolescence for several health benefits,” she noted.
Dr. Robinson said that “more research is needed to validate the present findings in adolescents with major depression, and larger studies, including randomized control trials, are required to establish a causal association between MDD and vitamin D deficiency.”
The study had no specific funding. Dr. Babade and Dr. Robinson report no relevant financial relationships.
A version of this article first appeared on Medscape.com.
AT APA 2023
Common fracture risk predictors often fail for women of any race
study published in JAMA Internal Medicine.
according to aOne of the screenings, the U.S. Fracture Risk Assessment Tool (FRAX), proved relatively ineffective at identifying women who developed osteoporosis. The other screening, the Osteoporosis Self-Assessment Tool (OST), excelled at identifying osteoporosis for women in every racial and ethnic group, but also failed at identifying who was most likely to experience a fracture. Osteoporosis experts say that primary care physicians should test for the condition in anyone with any risk factor for it, even if a screening tool suggests doing so is unnecessary.
The United States Preventive Services Task Force (USPSTF) recommends routine testing of bone mineral density in women age 65 years and older to detect risk of developing osteoporosis, which in turn leads to an increased risk for fractures of the hip, spine, shoulder, or forearm. For women aged 50-64, whether bone mineral density accurately reflects who will develop osteoporosis is less clear. In this age range, the USPSTF recommends using either FRAX or OST rather than routine bone mineral density tests.
“I have the utmost respect for the United States Preventive Services Task Force, which lists both of these as valid screening tools for younger postmenopausal women. What I hope this study does is to inform the next iteration of the screening guidelines,” by maintaining the recommendation to use the OST while not keeping FRAX, said Carolyn J. Crandall, MD, MS, an internal medicine physician and health services researcher at University of California, Los Angeles, who helped conduct the research.
The U.S. version of FRAX requires identifying someone’s race, height, and weight, then answering whether they have different risk factors for a fracture such as a previous fracture, rheumatoid arthritis, or smoking. The result was thought to indicate a cumulative risk for major fracture over the next 10 years. Patients at significant risk should then undergo a bone density test.
The tool can also incorporate information about bone mineral density, if available, but the FRAX analyses in Dr. Crandall’s study did not include those data because the study aimed to test the measure’s predictive ability in the absence of a bone scan.
The OST includes only two variables – weight and age – to calculate risk for osteoporosis, and generally takes seconds to complete. It does not include race. As with FRAX, anyone deemed at significant risk for developing osteoporosis should undergo a bone density test.
“OST is really simple; that makes it very appealing,” Dr. Crandall said. “OST could probably be automatically calculated in the electronic medical record.”
Using data from the Women’s Health Initiative, Dr. Crandall and colleagues tracked more than 67,000 women aged 50-64 years for 10 years following enrollment in the study to see who experienced a fracture or developed osteoporosis over that decade. The investigators found that neither FRAX nor OST was particularly good at predicting who went on to experience a fracture.
The accuracy of FRAX at fracture prediction peaked at 65% for Asian women (area under the receiver operating curve, 0.65; 95% confidence interval, 0.58-0.71), and was lowest for Black women (AUC 0.55; 95% CI, 0.52-0.59). OST also was most accurate for Asian women, but only up to 62% (AUC 0.62; 95% CI, 0.56-0.69), and was again lowest for Black women (AUC 0.53; 95% CI, 0.50 - 0.57)
“It is just very hard to predict fractures in this age group,” Dr. Crandall said, noting that more evidence exists about risk for fracture in people older than 65.
The story diverges with predicting risk of osteoporosis in the neck. The OST did this roughly 80% of the time, for all racial groups. That figure proved better than FRAX, without including race.
Treatment gap
“This evidence supports using OST instead of FRAX” for selecting younger postmenopausal women who should undergo a bone mineral density exam, said E. Michael Lewiecki, MD, director of the New Mexico Clinical Research & Osteoporosis Center in Albuquerque.
Dr. Lewiecki, who was not involved in the new study, noted that the U.S. version of FRAX specifies race because of some clinical evidence that different races have different rates of fracture. But he and Dr. Crandall said the validity of race-based algorithms to guide clinical care is a controversial and evolving topic in medicine. Dr. Lewiecki said the Canadian version of FRAX, which is similarly applied to a diverse population as in the United States, omits race and works as well as the U.S. version. Future iterations of the instrument in the United States may not include race, Dr. Lewiecki said.
“The study is perfectly valid as far as it goes. But the big gorilla in the room is that most patients who need a bone density test are not getting it,” Dr. Lewiecki added. Sometimes a patient might break a bone in their wrist, for example, and tell their primary care provider that anyone would have broken that bone because the fall was so hard. Even if that’s true, Dr. Lewiecki said, any woman older than 45 who has broken a bone should undergo a bone density test to determine if they have osteoporosis, even if it seems like there are other possible reasons for why the break occurred.
“Most of the clinical practice guidelines that are used by physicians recommend getting a bone density test in postmenopausal women under the age of 65 who have a risk factor for fracture,” Dr. Lewiecki said, with a primary risk factor being a prior fracture. Dr. Lewiecki said he would rather that anyone who could benefit from a bone density test receive it, rather than someone foregoing a scan based on a screening tool that may be flawed.
“Most patients – men and women – who have osteoporosis are currently not being identified. Even when they are being identified, they are commonly not being treated. And when they are started on treatment, many patients discontinue treatment before they’ve taken it long enough to benefit,” Dr. Lewiecki said.
Dr. Crandall and Dr. Lewiecki report no relevant financial relationships.
A version of this article first appeared on Medscape.com.
study published in JAMA Internal Medicine.
according to aOne of the screenings, the U.S. Fracture Risk Assessment Tool (FRAX), proved relatively ineffective at identifying women who developed osteoporosis. The other screening, the Osteoporosis Self-Assessment Tool (OST), excelled at identifying osteoporosis for women in every racial and ethnic group, but also failed at identifying who was most likely to experience a fracture. Osteoporosis experts say that primary care physicians should test for the condition in anyone with any risk factor for it, even if a screening tool suggests doing so is unnecessary.
The United States Preventive Services Task Force (USPSTF) recommends routine testing of bone mineral density in women age 65 years and older to detect risk of developing osteoporosis, which in turn leads to an increased risk for fractures of the hip, spine, shoulder, or forearm. For women aged 50-64, whether bone mineral density accurately reflects who will develop osteoporosis is less clear. In this age range, the USPSTF recommends using either FRAX or OST rather than routine bone mineral density tests.
“I have the utmost respect for the United States Preventive Services Task Force, which lists both of these as valid screening tools for younger postmenopausal women. What I hope this study does is to inform the next iteration of the screening guidelines,” by maintaining the recommendation to use the OST while not keeping FRAX, said Carolyn J. Crandall, MD, MS, an internal medicine physician and health services researcher at University of California, Los Angeles, who helped conduct the research.
The U.S. version of FRAX requires identifying someone’s race, height, and weight, then answering whether they have different risk factors for a fracture such as a previous fracture, rheumatoid arthritis, or smoking. The result was thought to indicate a cumulative risk for major fracture over the next 10 years. Patients at significant risk should then undergo a bone density test.
The tool can also incorporate information about bone mineral density, if available, but the FRAX analyses in Dr. Crandall’s study did not include those data because the study aimed to test the measure’s predictive ability in the absence of a bone scan.
The OST includes only two variables – weight and age – to calculate risk for osteoporosis, and generally takes seconds to complete. It does not include race. As with FRAX, anyone deemed at significant risk for developing osteoporosis should undergo a bone density test.
“OST is really simple; that makes it very appealing,” Dr. Crandall said. “OST could probably be automatically calculated in the electronic medical record.”
Using data from the Women’s Health Initiative, Dr. Crandall and colleagues tracked more than 67,000 women aged 50-64 years for 10 years following enrollment in the study to see who experienced a fracture or developed osteoporosis over that decade. The investigators found that neither FRAX nor OST was particularly good at predicting who went on to experience a fracture.
The accuracy of FRAX at fracture prediction peaked at 65% for Asian women (area under the receiver operating curve, 0.65; 95% confidence interval, 0.58-0.71), and was lowest for Black women (AUC 0.55; 95% CI, 0.52-0.59). OST also was most accurate for Asian women, but only up to 62% (AUC 0.62; 95% CI, 0.56-0.69), and was again lowest for Black women (AUC 0.53; 95% CI, 0.50 - 0.57)
“It is just very hard to predict fractures in this age group,” Dr. Crandall said, noting that more evidence exists about risk for fracture in people older than 65.
The story diverges with predicting risk of osteoporosis in the neck. The OST did this roughly 80% of the time, for all racial groups. That figure proved better than FRAX, without including race.
Treatment gap
“This evidence supports using OST instead of FRAX” for selecting younger postmenopausal women who should undergo a bone mineral density exam, said E. Michael Lewiecki, MD, director of the New Mexico Clinical Research & Osteoporosis Center in Albuquerque.
Dr. Lewiecki, who was not involved in the new study, noted that the U.S. version of FRAX specifies race because of some clinical evidence that different races have different rates of fracture. But he and Dr. Crandall said the validity of race-based algorithms to guide clinical care is a controversial and evolving topic in medicine. Dr. Lewiecki said the Canadian version of FRAX, which is similarly applied to a diverse population as in the United States, omits race and works as well as the U.S. version. Future iterations of the instrument in the United States may not include race, Dr. Lewiecki said.
“The study is perfectly valid as far as it goes. But the big gorilla in the room is that most patients who need a bone density test are not getting it,” Dr. Lewiecki added. Sometimes a patient might break a bone in their wrist, for example, and tell their primary care provider that anyone would have broken that bone because the fall was so hard. Even if that’s true, Dr. Lewiecki said, any woman older than 45 who has broken a bone should undergo a bone density test to determine if they have osteoporosis, even if it seems like there are other possible reasons for why the break occurred.
“Most of the clinical practice guidelines that are used by physicians recommend getting a bone density test in postmenopausal women under the age of 65 who have a risk factor for fracture,” Dr. Lewiecki said, with a primary risk factor being a prior fracture. Dr. Lewiecki said he would rather that anyone who could benefit from a bone density test receive it, rather than someone foregoing a scan based on a screening tool that may be flawed.
“Most patients – men and women – who have osteoporosis are currently not being identified. Even when they are being identified, they are commonly not being treated. And when they are started on treatment, many patients discontinue treatment before they’ve taken it long enough to benefit,” Dr. Lewiecki said.
Dr. Crandall and Dr. Lewiecki report no relevant financial relationships.
A version of this article first appeared on Medscape.com.
study published in JAMA Internal Medicine.
according to aOne of the screenings, the U.S. Fracture Risk Assessment Tool (FRAX), proved relatively ineffective at identifying women who developed osteoporosis. The other screening, the Osteoporosis Self-Assessment Tool (OST), excelled at identifying osteoporosis for women in every racial and ethnic group, but also failed at identifying who was most likely to experience a fracture. Osteoporosis experts say that primary care physicians should test for the condition in anyone with any risk factor for it, even if a screening tool suggests doing so is unnecessary.
The United States Preventive Services Task Force (USPSTF) recommends routine testing of bone mineral density in women age 65 years and older to detect risk of developing osteoporosis, which in turn leads to an increased risk for fractures of the hip, spine, shoulder, or forearm. For women aged 50-64, whether bone mineral density accurately reflects who will develop osteoporosis is less clear. In this age range, the USPSTF recommends using either FRAX or OST rather than routine bone mineral density tests.
“I have the utmost respect for the United States Preventive Services Task Force, which lists both of these as valid screening tools for younger postmenopausal women. What I hope this study does is to inform the next iteration of the screening guidelines,” by maintaining the recommendation to use the OST while not keeping FRAX, said Carolyn J. Crandall, MD, MS, an internal medicine physician and health services researcher at University of California, Los Angeles, who helped conduct the research.
The U.S. version of FRAX requires identifying someone’s race, height, and weight, then answering whether they have different risk factors for a fracture such as a previous fracture, rheumatoid arthritis, or smoking. The result was thought to indicate a cumulative risk for major fracture over the next 10 years. Patients at significant risk should then undergo a bone density test.
The tool can also incorporate information about bone mineral density, if available, but the FRAX analyses in Dr. Crandall’s study did not include those data because the study aimed to test the measure’s predictive ability in the absence of a bone scan.
The OST includes only two variables – weight and age – to calculate risk for osteoporosis, and generally takes seconds to complete. It does not include race. As with FRAX, anyone deemed at significant risk for developing osteoporosis should undergo a bone density test.
“OST is really simple; that makes it very appealing,” Dr. Crandall said. “OST could probably be automatically calculated in the electronic medical record.”
Using data from the Women’s Health Initiative, Dr. Crandall and colleagues tracked more than 67,000 women aged 50-64 years for 10 years following enrollment in the study to see who experienced a fracture or developed osteoporosis over that decade. The investigators found that neither FRAX nor OST was particularly good at predicting who went on to experience a fracture.
The accuracy of FRAX at fracture prediction peaked at 65% for Asian women (area under the receiver operating curve, 0.65; 95% confidence interval, 0.58-0.71), and was lowest for Black women (AUC 0.55; 95% CI, 0.52-0.59). OST also was most accurate for Asian women, but only up to 62% (AUC 0.62; 95% CI, 0.56-0.69), and was again lowest for Black women (AUC 0.53; 95% CI, 0.50 - 0.57)
“It is just very hard to predict fractures in this age group,” Dr. Crandall said, noting that more evidence exists about risk for fracture in people older than 65.
The story diverges with predicting risk of osteoporosis in the neck. The OST did this roughly 80% of the time, for all racial groups. That figure proved better than FRAX, without including race.
Treatment gap
“This evidence supports using OST instead of FRAX” for selecting younger postmenopausal women who should undergo a bone mineral density exam, said E. Michael Lewiecki, MD, director of the New Mexico Clinical Research & Osteoporosis Center in Albuquerque.
Dr. Lewiecki, who was not involved in the new study, noted that the U.S. version of FRAX specifies race because of some clinical evidence that different races have different rates of fracture. But he and Dr. Crandall said the validity of race-based algorithms to guide clinical care is a controversial and evolving topic in medicine. Dr. Lewiecki said the Canadian version of FRAX, which is similarly applied to a diverse population as in the United States, omits race and works as well as the U.S. version. Future iterations of the instrument in the United States may not include race, Dr. Lewiecki said.
“The study is perfectly valid as far as it goes. But the big gorilla in the room is that most patients who need a bone density test are not getting it,” Dr. Lewiecki added. Sometimes a patient might break a bone in their wrist, for example, and tell their primary care provider that anyone would have broken that bone because the fall was so hard. Even if that’s true, Dr. Lewiecki said, any woman older than 45 who has broken a bone should undergo a bone density test to determine if they have osteoporosis, even if it seems like there are other possible reasons for why the break occurred.
“Most of the clinical practice guidelines that are used by physicians recommend getting a bone density test in postmenopausal women under the age of 65 who have a risk factor for fracture,” Dr. Lewiecki said, with a primary risk factor being a prior fracture. Dr. Lewiecki said he would rather that anyone who could benefit from a bone density test receive it, rather than someone foregoing a scan based on a screening tool that may be flawed.
“Most patients – men and women – who have osteoporosis are currently not being identified. Even when they are being identified, they are commonly not being treated. And when they are started on treatment, many patients discontinue treatment before they’ve taken it long enough to benefit,” Dr. Lewiecki said.
Dr. Crandall and Dr. Lewiecki report no relevant financial relationships.
A version of this article first appeared on Medscape.com.
FROM JAMA INTERNAL MEDICINE
Should you prescribe bioidentical hormones for menopause?
BALTIMORE – according to an expert at the annual clinical and scientific meeting of the American College of Obstetricians and Gynecologists (ACOG).
Clinicians write an estimated 26 to 33 million prescriptions for compounded bioidentical hormone therapy (cBHT) every year, and almost 41% of menopausal women who need treatment try cBHT during their lives. But these drugs lack the approval for this indication from the Food and Drug Administration.
“There is a public perception that this is natural, safer, and anti-aging,” said Robert Kauffman, MD, a professor of obstetrics and gynecology and assistant dean for research at Texas Tech University Health Sciences Center in Amarillo.
Following the 2002 Women’s Health Initiative report showing a link between hormone therapy (HT) and an increase in the incidence of breast cancer, medical schools have slowed or paused instructing trainees on the traditional treatment, Dr. Kauffman said. The association was later determined to be spurious: HT is not associated with a risk for all-cause mortality or deaths from cardiovascular disease or cancer. However, HT still is largely ignored by younger physicians, Dr. Kauffman said, because of unsubstantiated “dangers” such as heart attack, stroke, and deep vein thrombosis.
The lack of education on HT for medical school students and residents has “opened the door to unsubstantiated marketing claims and practices” for cBHT, Dr. Kauffman said. “Hence, the use of compounded bioidentical hormone therapy has increased” as clinicians look for alternatives.
Groups including ACOG, the North American Menopause Society (NAMS), and the U.S. Preventive Services Task Force recommend against the use of Non–FDA-approved therapies such as cBHT, except for narrow indications. Dr. Kauffman said that drug manufacturers have not conducted randomized controlled trials or observational studies on cBHT in treating menopause.
He cited studies showing quality problems with the compounding process of these drugs, and wide variations in the amount of actual ingredients from product labels. One 2021 study published in Menopause comparing patients taking cBHT or FDA-approved HT found that side effects were significantly higher in the cBHT group (57.6% vs. 14.8%; P < .0001).
But manufacturers of cBHT claim that their products prevent cardiovascular disease and Alzheimer’s disease and decrease the risk for breast cancer and stroke – assertions that are at best unproven, according to Dr. Kauffman.
The National Academies of Sciences, Engineering, and Medicine in 2020 said that clinicians have a duty to inform patients of the insufficient evidence to support clinical use of cBHT and should prescribe the products only to patients with documented allergies to an active ingredient in an FDA-approved agent or who require an alternative dosage.
Patients may also have to pay much more out of pocket for cBHT products because they often are not covered by insurance. Generic HT products, meanwhile, are relatively inexpensive and typically are covered, he noted.
“We have to be careful to avoid financial harm to patients by prescribing things, which are much more expensive than those which are usually available,” Dr. Kauffman said.
Prescribing any non–FDA-approved product, especially when biosimilars are available, places physicians at legal risk, Dr. Kauffman said. Physicians who recommend cBHT should inform patients that the products are not FDA approved and carefully document this discussion in the patient’s electronic health record. State boards of medicine can sanction physicians for “coercion” for prescribing cBHT products without mentioning alternatives, he added.
JoAnn Pinkerton, MD, professor of obstetrics and gynecology at the University of Virginia, Charlottesville, and executive director emeritus of NAMS, who attended the session, praised Dr. Kauffman for providing a balanced and evidence-based overview of the subject.
“There are issues concerning safety, contaminants, and not knowing exactly what dose you’re getting,” with compounded hormones, Dr. Pinkerton said. “They’re being hyped as safer and more effective when in reality, we don’t have any studies that show that information.”
Dr. Pinkerton noted that while a compounded form of physiological testosterone might be relatively reliable, “if you’re using something like a pellet that is super physiologic with incredibly high doses, that you really don’t have any information to stand on that it’s safe or effective ... it might be putting your license at risk.”
A version of this article first appeared on Medscape.com.
BALTIMORE – according to an expert at the annual clinical and scientific meeting of the American College of Obstetricians and Gynecologists (ACOG).
Clinicians write an estimated 26 to 33 million prescriptions for compounded bioidentical hormone therapy (cBHT) every year, and almost 41% of menopausal women who need treatment try cBHT during their lives. But these drugs lack the approval for this indication from the Food and Drug Administration.
“There is a public perception that this is natural, safer, and anti-aging,” said Robert Kauffman, MD, a professor of obstetrics and gynecology and assistant dean for research at Texas Tech University Health Sciences Center in Amarillo.
Following the 2002 Women’s Health Initiative report showing a link between hormone therapy (HT) and an increase in the incidence of breast cancer, medical schools have slowed or paused instructing trainees on the traditional treatment, Dr. Kauffman said. The association was later determined to be spurious: HT is not associated with a risk for all-cause mortality or deaths from cardiovascular disease or cancer. However, HT still is largely ignored by younger physicians, Dr. Kauffman said, because of unsubstantiated “dangers” such as heart attack, stroke, and deep vein thrombosis.
The lack of education on HT for medical school students and residents has “opened the door to unsubstantiated marketing claims and practices” for cBHT, Dr. Kauffman said. “Hence, the use of compounded bioidentical hormone therapy has increased” as clinicians look for alternatives.
Groups including ACOG, the North American Menopause Society (NAMS), and the U.S. Preventive Services Task Force recommend against the use of Non–FDA-approved therapies such as cBHT, except for narrow indications. Dr. Kauffman said that drug manufacturers have not conducted randomized controlled trials or observational studies on cBHT in treating menopause.
He cited studies showing quality problems with the compounding process of these drugs, and wide variations in the amount of actual ingredients from product labels. One 2021 study published in Menopause comparing patients taking cBHT or FDA-approved HT found that side effects were significantly higher in the cBHT group (57.6% vs. 14.8%; P < .0001).
But manufacturers of cBHT claim that their products prevent cardiovascular disease and Alzheimer’s disease and decrease the risk for breast cancer and stroke – assertions that are at best unproven, according to Dr. Kauffman.
The National Academies of Sciences, Engineering, and Medicine in 2020 said that clinicians have a duty to inform patients of the insufficient evidence to support clinical use of cBHT and should prescribe the products only to patients with documented allergies to an active ingredient in an FDA-approved agent or who require an alternative dosage.
Patients may also have to pay much more out of pocket for cBHT products because they often are not covered by insurance. Generic HT products, meanwhile, are relatively inexpensive and typically are covered, he noted.
“We have to be careful to avoid financial harm to patients by prescribing things, which are much more expensive than those which are usually available,” Dr. Kauffman said.
Prescribing any non–FDA-approved product, especially when biosimilars are available, places physicians at legal risk, Dr. Kauffman said. Physicians who recommend cBHT should inform patients that the products are not FDA approved and carefully document this discussion in the patient’s electronic health record. State boards of medicine can sanction physicians for “coercion” for prescribing cBHT products without mentioning alternatives, he added.
JoAnn Pinkerton, MD, professor of obstetrics and gynecology at the University of Virginia, Charlottesville, and executive director emeritus of NAMS, who attended the session, praised Dr. Kauffman for providing a balanced and evidence-based overview of the subject.
“There are issues concerning safety, contaminants, and not knowing exactly what dose you’re getting,” with compounded hormones, Dr. Pinkerton said. “They’re being hyped as safer and more effective when in reality, we don’t have any studies that show that information.”
Dr. Pinkerton noted that while a compounded form of physiological testosterone might be relatively reliable, “if you’re using something like a pellet that is super physiologic with incredibly high doses, that you really don’t have any information to stand on that it’s safe or effective ... it might be putting your license at risk.”
A version of this article first appeared on Medscape.com.
BALTIMORE – according to an expert at the annual clinical and scientific meeting of the American College of Obstetricians and Gynecologists (ACOG).
Clinicians write an estimated 26 to 33 million prescriptions for compounded bioidentical hormone therapy (cBHT) every year, and almost 41% of menopausal women who need treatment try cBHT during their lives. But these drugs lack the approval for this indication from the Food and Drug Administration.
“There is a public perception that this is natural, safer, and anti-aging,” said Robert Kauffman, MD, a professor of obstetrics and gynecology and assistant dean for research at Texas Tech University Health Sciences Center in Amarillo.
Following the 2002 Women’s Health Initiative report showing a link between hormone therapy (HT) and an increase in the incidence of breast cancer, medical schools have slowed or paused instructing trainees on the traditional treatment, Dr. Kauffman said. The association was later determined to be spurious: HT is not associated with a risk for all-cause mortality or deaths from cardiovascular disease or cancer. However, HT still is largely ignored by younger physicians, Dr. Kauffman said, because of unsubstantiated “dangers” such as heart attack, stroke, and deep vein thrombosis.
The lack of education on HT for medical school students and residents has “opened the door to unsubstantiated marketing claims and practices” for cBHT, Dr. Kauffman said. “Hence, the use of compounded bioidentical hormone therapy has increased” as clinicians look for alternatives.
Groups including ACOG, the North American Menopause Society (NAMS), and the U.S. Preventive Services Task Force recommend against the use of Non–FDA-approved therapies such as cBHT, except for narrow indications. Dr. Kauffman said that drug manufacturers have not conducted randomized controlled trials or observational studies on cBHT in treating menopause.
He cited studies showing quality problems with the compounding process of these drugs, and wide variations in the amount of actual ingredients from product labels. One 2021 study published in Menopause comparing patients taking cBHT or FDA-approved HT found that side effects were significantly higher in the cBHT group (57.6% vs. 14.8%; P < .0001).
But manufacturers of cBHT claim that their products prevent cardiovascular disease and Alzheimer’s disease and decrease the risk for breast cancer and stroke – assertions that are at best unproven, according to Dr. Kauffman.
The National Academies of Sciences, Engineering, and Medicine in 2020 said that clinicians have a duty to inform patients of the insufficient evidence to support clinical use of cBHT and should prescribe the products only to patients with documented allergies to an active ingredient in an FDA-approved agent or who require an alternative dosage.
Patients may also have to pay much more out of pocket for cBHT products because they often are not covered by insurance. Generic HT products, meanwhile, are relatively inexpensive and typically are covered, he noted.
“We have to be careful to avoid financial harm to patients by prescribing things, which are much more expensive than those which are usually available,” Dr. Kauffman said.
Prescribing any non–FDA-approved product, especially when biosimilars are available, places physicians at legal risk, Dr. Kauffman said. Physicians who recommend cBHT should inform patients that the products are not FDA approved and carefully document this discussion in the patient’s electronic health record. State boards of medicine can sanction physicians for “coercion” for prescribing cBHT products without mentioning alternatives, he added.
JoAnn Pinkerton, MD, professor of obstetrics and gynecology at the University of Virginia, Charlottesville, and executive director emeritus of NAMS, who attended the session, praised Dr. Kauffman for providing a balanced and evidence-based overview of the subject.
“There are issues concerning safety, contaminants, and not knowing exactly what dose you’re getting,” with compounded hormones, Dr. Pinkerton said. “They’re being hyped as safer and more effective when in reality, we don’t have any studies that show that information.”
Dr. Pinkerton noted that while a compounded form of physiological testosterone might be relatively reliable, “if you’re using something like a pellet that is super physiologic with incredibly high doses, that you really don’t have any information to stand on that it’s safe or effective ... it might be putting your license at risk.”
A version of this article first appeared on Medscape.com.
AT ACOG 2023
Half of deaths from homozygous FH occur before age 32 years
MANNHEIM, GERMANY –
The researchers looked at almost 40 patients from the HoFH International Clinical Collaborators (HICC) registry who had died before data entry, finding that they had a mean age of diagnosis of 12 years.
Even those who received treatment had high LDL cholesterol levels, and 70% developed atherosclerotic cardiovascular disease (ASCVD) at a median age of 28 years.
Worryingly, the results showed that the median age at death was 32 years. Results were presented at the annual congress of the European Atherosclerosis Society.
Patients with HoFH “have severe atherosclerotic cardiovascular disease risk,” said study presenter Janneke Mulder, a PhD candidate at the department of internal medicine, Erasmus University Medical Center, Rotterdam, the Netherlands.
“Therefore, early diagnosis and initiation of treatments, and also a combination of treatments, is really crucial,” she added.
Call to action
Approached for comment, Maciej Banach, MD, PhD, full professor of cardiology, Polish Mother’s Memorial Hospital Research Institute, Lodz, and Secretary of the EAS, described the results as “terrifying.”
He said in an interview that they are a “call to action,” especially given that so few patients in the study received intensive combination lipid-lowering therapy despite having a baseline LDL cholesterol level that was “very, very high.”
Banach underlined that patients who receive triple lipid-lowering therapy with a high-intensity statin, ezetimibe (Nustendi), and a proprotein convertase subtilisin/kexin type 9 inhibitor, could expect, based on current evidence, to see their LDL cholesterol levels reduced by 85% and be on target.
“Obviously, this is kind of academic,” because in the real-world “this 85% is not observed very often,” but it offers a target for steep reductions in cholesterol levels.
“This is something that we should focus on for these patients from the beginning,” said Dr. Banach, either with a stepwise approach “or for experts in pediatric HoFH, “maybe immediately.”
He emphasized that clinicians have everything at hand to “be both effective in the early diagnosis of HoFH, the earlier the better, and obviously to be effective with its treatment.”
“We should do something to prolong the lives of those people,” because the current results are “terrifying,” Dr. Banach added.
Rare genetic condition
Presenting her findings, Ms. Mulder began by highlighting that HoFH is a “rare genetic condition that occurs due to mutations in cholesterol metabolism.”
This, she continued, leads to “severely increased LDL cholesterol levels, and consequently to very premature cardiovascular disease,” with patients potentially experiencing their first cardiovascular event before age 20 years.
Ms. Mulder pointed out that, although there have been case series in the literature on HoFH, they have had “limited numbers” and patients have typically spent decades being treated at the same lipid management clinic.
To broaden the understanding of the clinical characteristics and management of patients dying with HoFH, the team examined data from the HICC registry, which is “the largest contemporary database of homozygous FH patients,” Ms. Mulder said.
It includes 751 patients with HoFH from 88 centers in 38 countries who were alive in 2010 or later. Data entry was between 2016 and 2020. The current analysis focused on 37 patients who had already died by the time they were included on the registry.
Of those, 49% were women, 38% were of White ethnicity, and 43% were from high-income countries.
The median age at diagnosis was 12 years, Ms. Mulder said, explaining that this is similar to that seen in other studies. The majority (86%) underwent genetic testing, and 92% presented with xanthomas.
Ms. Mulder also noted that, at their final clinical evaluation, which was conducted a median age of 18 years after their initial diagnosis, 43% of patients were recorded as current or former smokers.
In terms of their lipid-lowering therapy, 94% were taking a statin, whereas 68% were on ezetimibe, and 23% were undergoing apheresis.
Ms. Mulder said that the median number of lipid-lowering therapies per patient was two, and that “sadly ... 26% of the deceased patients had only one or no treatment.”
Therefore, perhaps unsurprisingly even those patients who were receiving treatment had LDL cholesterol levels that were “too high,” at 9.4 mmol/L versus 15.6 mmol/L among those who were untreated.
There was a high prevalence of ASCVD, at 70% overall, or 41% for aortic stenosis, 30% for myocardial infarction, 30% for angina pectoris, and 22% each for aortic valve replacement and coronary artery bypass grafting. In addition, 19% underwent percutaneous coronary intervention.
The median age of onset for ASCVD was 28 years. Ms. Mulder pointed out, however, that, as data were not available for all patients, “this might be an underestimation.” About 70% of patients experienced recurrent ASCVD.
There was a wide range in the age at which patients with HoFH died, although the median was, “strikingly,” 32 years, Ms. Mulder said. Death was confirmed as stemming from cardiovascular causes in 76% of cases.
During the postpresentation discussion, session chair Antonio J. Vallejo-Vaz, PhD, from the Research Group of Clinical Epidemiology and Vascular Risk, Institute of Biomedicine of Seville (Spain), highlighted that, if 38% of the patients were of White ethnicity, then the remainder must therefore be from other ethnic groups.
“There could be potential issues with accessibility to lipid centers” for these patients, which could affect the findings, noted Dr. Vallejo-Vaz, who is also chief scientist of the EAS Familial Hypercholesterolaemia Studies Collaboration.
Ms. Mulder agreed, replying that their results, though already striking, may be an underestimation because the patients were all from either high or middle-income countries, “so it would be good to have some data on low-income countries.”
She was also asked about two patients who died at a much older age than did the others, at ages 70 years and 86 years, respectively, and whether they had, for example, a protective genetic mutation.
Ms. Mulder said that they do not yet know, but they are planning an extended case series on these and other long-lived patients so that they can be investigated further.
No funding or relevant financial relationships were declared.
A version of this article first appeared on Medscape.com.
MANNHEIM, GERMANY –
The researchers looked at almost 40 patients from the HoFH International Clinical Collaborators (HICC) registry who had died before data entry, finding that they had a mean age of diagnosis of 12 years.
Even those who received treatment had high LDL cholesterol levels, and 70% developed atherosclerotic cardiovascular disease (ASCVD) at a median age of 28 years.
Worryingly, the results showed that the median age at death was 32 years. Results were presented at the annual congress of the European Atherosclerosis Society.
Patients with HoFH “have severe atherosclerotic cardiovascular disease risk,” said study presenter Janneke Mulder, a PhD candidate at the department of internal medicine, Erasmus University Medical Center, Rotterdam, the Netherlands.
“Therefore, early diagnosis and initiation of treatments, and also a combination of treatments, is really crucial,” she added.
Call to action
Approached for comment, Maciej Banach, MD, PhD, full professor of cardiology, Polish Mother’s Memorial Hospital Research Institute, Lodz, and Secretary of the EAS, described the results as “terrifying.”
He said in an interview that they are a “call to action,” especially given that so few patients in the study received intensive combination lipid-lowering therapy despite having a baseline LDL cholesterol level that was “very, very high.”
Banach underlined that patients who receive triple lipid-lowering therapy with a high-intensity statin, ezetimibe (Nustendi), and a proprotein convertase subtilisin/kexin type 9 inhibitor, could expect, based on current evidence, to see their LDL cholesterol levels reduced by 85% and be on target.
“Obviously, this is kind of academic,” because in the real-world “this 85% is not observed very often,” but it offers a target for steep reductions in cholesterol levels.
“This is something that we should focus on for these patients from the beginning,” said Dr. Banach, either with a stepwise approach “or for experts in pediatric HoFH, “maybe immediately.”
He emphasized that clinicians have everything at hand to “be both effective in the early diagnosis of HoFH, the earlier the better, and obviously to be effective with its treatment.”
“We should do something to prolong the lives of those people,” because the current results are “terrifying,” Dr. Banach added.
Rare genetic condition
Presenting her findings, Ms. Mulder began by highlighting that HoFH is a “rare genetic condition that occurs due to mutations in cholesterol metabolism.”
This, she continued, leads to “severely increased LDL cholesterol levels, and consequently to very premature cardiovascular disease,” with patients potentially experiencing their first cardiovascular event before age 20 years.
Ms. Mulder pointed out that, although there have been case series in the literature on HoFH, they have had “limited numbers” and patients have typically spent decades being treated at the same lipid management clinic.
To broaden the understanding of the clinical characteristics and management of patients dying with HoFH, the team examined data from the HICC registry, which is “the largest contemporary database of homozygous FH patients,” Ms. Mulder said.
It includes 751 patients with HoFH from 88 centers in 38 countries who were alive in 2010 or later. Data entry was between 2016 and 2020. The current analysis focused on 37 patients who had already died by the time they were included on the registry.
Of those, 49% were women, 38% were of White ethnicity, and 43% were from high-income countries.
The median age at diagnosis was 12 years, Ms. Mulder said, explaining that this is similar to that seen in other studies. The majority (86%) underwent genetic testing, and 92% presented with xanthomas.
Ms. Mulder also noted that, at their final clinical evaluation, which was conducted a median age of 18 years after their initial diagnosis, 43% of patients were recorded as current or former smokers.
In terms of their lipid-lowering therapy, 94% were taking a statin, whereas 68% were on ezetimibe, and 23% were undergoing apheresis.
Ms. Mulder said that the median number of lipid-lowering therapies per patient was two, and that “sadly ... 26% of the deceased patients had only one or no treatment.”
Therefore, perhaps unsurprisingly even those patients who were receiving treatment had LDL cholesterol levels that were “too high,” at 9.4 mmol/L versus 15.6 mmol/L among those who were untreated.
There was a high prevalence of ASCVD, at 70% overall, or 41% for aortic stenosis, 30% for myocardial infarction, 30% for angina pectoris, and 22% each for aortic valve replacement and coronary artery bypass grafting. In addition, 19% underwent percutaneous coronary intervention.
The median age of onset for ASCVD was 28 years. Ms. Mulder pointed out, however, that, as data were not available for all patients, “this might be an underestimation.” About 70% of patients experienced recurrent ASCVD.
There was a wide range in the age at which patients with HoFH died, although the median was, “strikingly,” 32 years, Ms. Mulder said. Death was confirmed as stemming from cardiovascular causes in 76% of cases.
During the postpresentation discussion, session chair Antonio J. Vallejo-Vaz, PhD, from the Research Group of Clinical Epidemiology and Vascular Risk, Institute of Biomedicine of Seville (Spain), highlighted that, if 38% of the patients were of White ethnicity, then the remainder must therefore be from other ethnic groups.
“There could be potential issues with accessibility to lipid centers” for these patients, which could affect the findings, noted Dr. Vallejo-Vaz, who is also chief scientist of the EAS Familial Hypercholesterolaemia Studies Collaboration.
Ms. Mulder agreed, replying that their results, though already striking, may be an underestimation because the patients were all from either high or middle-income countries, “so it would be good to have some data on low-income countries.”
She was also asked about two patients who died at a much older age than did the others, at ages 70 years and 86 years, respectively, and whether they had, for example, a protective genetic mutation.
Ms. Mulder said that they do not yet know, but they are planning an extended case series on these and other long-lived patients so that they can be investigated further.
No funding or relevant financial relationships were declared.
A version of this article first appeared on Medscape.com.
MANNHEIM, GERMANY –
The researchers looked at almost 40 patients from the HoFH International Clinical Collaborators (HICC) registry who had died before data entry, finding that they had a mean age of diagnosis of 12 years.
Even those who received treatment had high LDL cholesterol levels, and 70% developed atherosclerotic cardiovascular disease (ASCVD) at a median age of 28 years.
Worryingly, the results showed that the median age at death was 32 years. Results were presented at the annual congress of the European Atherosclerosis Society.
Patients with HoFH “have severe atherosclerotic cardiovascular disease risk,” said study presenter Janneke Mulder, a PhD candidate at the department of internal medicine, Erasmus University Medical Center, Rotterdam, the Netherlands.
“Therefore, early diagnosis and initiation of treatments, and also a combination of treatments, is really crucial,” she added.
Call to action
Approached for comment, Maciej Banach, MD, PhD, full professor of cardiology, Polish Mother’s Memorial Hospital Research Institute, Lodz, and Secretary of the EAS, described the results as “terrifying.”
He said in an interview that they are a “call to action,” especially given that so few patients in the study received intensive combination lipid-lowering therapy despite having a baseline LDL cholesterol level that was “very, very high.”
Banach underlined that patients who receive triple lipid-lowering therapy with a high-intensity statin, ezetimibe (Nustendi), and a proprotein convertase subtilisin/kexin type 9 inhibitor, could expect, based on current evidence, to see their LDL cholesterol levels reduced by 85% and be on target.
“Obviously, this is kind of academic,” because in the real-world “this 85% is not observed very often,” but it offers a target for steep reductions in cholesterol levels.
“This is something that we should focus on for these patients from the beginning,” said Dr. Banach, either with a stepwise approach “or for experts in pediatric HoFH, “maybe immediately.”
He emphasized that clinicians have everything at hand to “be both effective in the early diagnosis of HoFH, the earlier the better, and obviously to be effective with its treatment.”
“We should do something to prolong the lives of those people,” because the current results are “terrifying,” Dr. Banach added.
Rare genetic condition
Presenting her findings, Ms. Mulder began by highlighting that HoFH is a “rare genetic condition that occurs due to mutations in cholesterol metabolism.”
This, she continued, leads to “severely increased LDL cholesterol levels, and consequently to very premature cardiovascular disease,” with patients potentially experiencing their first cardiovascular event before age 20 years.
Ms. Mulder pointed out that, although there have been case series in the literature on HoFH, they have had “limited numbers” and patients have typically spent decades being treated at the same lipid management clinic.
To broaden the understanding of the clinical characteristics and management of patients dying with HoFH, the team examined data from the HICC registry, which is “the largest contemporary database of homozygous FH patients,” Ms. Mulder said.
It includes 751 patients with HoFH from 88 centers in 38 countries who were alive in 2010 or later. Data entry was between 2016 and 2020. The current analysis focused on 37 patients who had already died by the time they were included on the registry.
Of those, 49% were women, 38% were of White ethnicity, and 43% were from high-income countries.
The median age at diagnosis was 12 years, Ms. Mulder said, explaining that this is similar to that seen in other studies. The majority (86%) underwent genetic testing, and 92% presented with xanthomas.
Ms. Mulder also noted that, at their final clinical evaluation, which was conducted a median age of 18 years after their initial diagnosis, 43% of patients were recorded as current or former smokers.
In terms of their lipid-lowering therapy, 94% were taking a statin, whereas 68% were on ezetimibe, and 23% were undergoing apheresis.
Ms. Mulder said that the median number of lipid-lowering therapies per patient was two, and that “sadly ... 26% of the deceased patients had only one or no treatment.”
Therefore, perhaps unsurprisingly even those patients who were receiving treatment had LDL cholesterol levels that were “too high,” at 9.4 mmol/L versus 15.6 mmol/L among those who were untreated.
There was a high prevalence of ASCVD, at 70% overall, or 41% for aortic stenosis, 30% for myocardial infarction, 30% for angina pectoris, and 22% each for aortic valve replacement and coronary artery bypass grafting. In addition, 19% underwent percutaneous coronary intervention.
The median age of onset for ASCVD was 28 years. Ms. Mulder pointed out, however, that, as data were not available for all patients, “this might be an underestimation.” About 70% of patients experienced recurrent ASCVD.
There was a wide range in the age at which patients with HoFH died, although the median was, “strikingly,” 32 years, Ms. Mulder said. Death was confirmed as stemming from cardiovascular causes in 76% of cases.
During the postpresentation discussion, session chair Antonio J. Vallejo-Vaz, PhD, from the Research Group of Clinical Epidemiology and Vascular Risk, Institute of Biomedicine of Seville (Spain), highlighted that, if 38% of the patients were of White ethnicity, then the remainder must therefore be from other ethnic groups.
“There could be potential issues with accessibility to lipid centers” for these patients, which could affect the findings, noted Dr. Vallejo-Vaz, who is also chief scientist of the EAS Familial Hypercholesterolaemia Studies Collaboration.
Ms. Mulder agreed, replying that their results, though already striking, may be an underestimation because the patients were all from either high or middle-income countries, “so it would be good to have some data on low-income countries.”
She was also asked about two patients who died at a much older age than did the others, at ages 70 years and 86 years, respectively, and whether they had, for example, a protective genetic mutation.
Ms. Mulder said that they do not yet know, but they are planning an extended case series on these and other long-lived patients so that they can be investigated further.
No funding or relevant financial relationships were declared.
A version of this article first appeared on Medscape.com.
Meet the JCOM Author with Dr. Barkoudah: EHR Interventions to Improve Glucagon Prescription Rates for Individuals With T1DM
Over half of pregnant patients not properly screened for thyroid disease
BALTIMORE – Less than half of the pregnant patients who met the criteria for thyroid screening were actually screened by their clinician, according to a retrospective cohort study presented at the annual clinical and scientific meeting of the American College of Obstetricians and Gynecologists in Baltimore. Those who met criteria and did receive screening had higher live birth rates and lower miscarriage rates than those who met the criteria but did not undergo screening, the study found.
“These results suggest that improving thyroid screening adherence may lead to improved pregnancy outcomes,” lead author Allan Dong, MD, of Advocate Lutheran General Hospital in Des Plaines, Ill., told attendees. “However, following targeted screening guidelines can be difficult for clinicians. In practice, universal screening for diabetes and pregnancy may provide more comprehensive screening coverage and potentially lead to improved outcomes.”
Instead of universal screening for thyroid disease, ACOG and the American Thyroid Association recommend targeted screening of high-risk patients, though ATA’s criteria are substantially broader than ACOG’s. But, Dr. Dong told attendees, “guidelines are only beneficial if they are followed appropriately,” and Ob.Gyns. have limited time to screen for risk factors in the midst of other clinical priorities. So he aimed to learn whether Ob.Gyns. were following the guidelines of either organization in screening people at higher risk for thyroid disease.
Dr. Dong and his coauthor, Melisa Lott, DO, reviewed the charts of all 1,025 patients who presented at their institution for new obstetrical visits in 2020 to determine which ones had risk factors that would qualify them for screening under ATA or ACOG guidelines. ACOG’s screening criteria included having a personal or family history of thyroid disease or type 1 diabetes, or there being clinical suspicion for thyroid disease. ATA’s screening criteria included the following:
- Personal or family history of thyroid disease.
- History of head or neck radiation.
- History of a prior thyroid surgery.
- Over age 30.
- Any autoimmune disease.
- A body mass index greater than 40 kg/m2.
- History of pregnancy loss, preterm delivery, or infertility.
- Recently used amiodarone lithium or iodine-based contrast.
- Lived in an area of known iodine deficiency.
- Clinical suspicion of thyroid disease.
ATA screening criteria identified four times as many patients requiring screening than did ACOG criteria, Dr. Dong noted. Of the 198 patients who met ACOG’s criteria, 43.9% were screened with thyroid function testing. Meanwhile, 826 patients – including all those who met ACOG’s criteria – met ATA’s criteria for screening, but only 13.1% of them underwent thyroid function testing.
Live birth rates were significantly higher among patients who met ATA criteria and were screened (92.6%) than among patients who met ATA criteria but were not screened (83.3%, P = .006). Similarly, the miscarriage rate was 4.6% in patients who met ATA criteria and were screened, compared to 12.4% in patients who met the criteria but did not undergo thyroid function testing (P = .009).
“A similar difference, although not statistically significant, was noted when comparing patients who were screened appropriately per ACOG criteria with those who met criteria for screening but were not screened,” Dr. Dong told attendees. “However, our study was underpowered to detect this difference due to the lower number of patients who meet criteria for screening under ACOG guidelines.”
The researchers did not find any significant difference in preterm delivery rates.
Anna Whelan, MD, of Women & Infants Hospital of Brown University, Providence, R.I., was not involved in the study but viewed the poster and pointed out that many of the patients, if seen by a primary care provider prior to pregnancy, would likely have been screened by their PCP. The rate of underscreening therefore suggests that patients “are not getting good, consistent primary care because there’s a lack of primary care physicians,” Dr. Whelan said in an interview.
In addition, she added, “maybe not all obstetricians and those providing care, such as midwives and other providers, are aware of the [ATA] guidelines on who should be screened.” She added that additional education about thyroid screening guidelines might be helpful for providers.
Dr. Dong reported being a stock shareholder in 3M, AbbVie, General Electric, Johnson & Johnson, Medtronic, Pfizer, and Viking Therapeutics. Dr. Whelan had no disclosures.
BALTIMORE – Less than half of the pregnant patients who met the criteria for thyroid screening were actually screened by their clinician, according to a retrospective cohort study presented at the annual clinical and scientific meeting of the American College of Obstetricians and Gynecologists in Baltimore. Those who met criteria and did receive screening had higher live birth rates and lower miscarriage rates than those who met the criteria but did not undergo screening, the study found.
“These results suggest that improving thyroid screening adherence may lead to improved pregnancy outcomes,” lead author Allan Dong, MD, of Advocate Lutheran General Hospital in Des Plaines, Ill., told attendees. “However, following targeted screening guidelines can be difficult for clinicians. In practice, universal screening for diabetes and pregnancy may provide more comprehensive screening coverage and potentially lead to improved outcomes.”
Instead of universal screening for thyroid disease, ACOG and the American Thyroid Association recommend targeted screening of high-risk patients, though ATA’s criteria are substantially broader than ACOG’s. But, Dr. Dong told attendees, “guidelines are only beneficial if they are followed appropriately,” and Ob.Gyns. have limited time to screen for risk factors in the midst of other clinical priorities. So he aimed to learn whether Ob.Gyns. were following the guidelines of either organization in screening people at higher risk for thyroid disease.
Dr. Dong and his coauthor, Melisa Lott, DO, reviewed the charts of all 1,025 patients who presented at their institution for new obstetrical visits in 2020 to determine which ones had risk factors that would qualify them for screening under ATA or ACOG guidelines. ACOG’s screening criteria included having a personal or family history of thyroid disease or type 1 diabetes, or there being clinical suspicion for thyroid disease. ATA’s screening criteria included the following:
- Personal or family history of thyroid disease.
- History of head or neck radiation.
- History of a prior thyroid surgery.
- Over age 30.
- Any autoimmune disease.
- A body mass index greater than 40 kg/m2.
- History of pregnancy loss, preterm delivery, or infertility.
- Recently used amiodarone lithium or iodine-based contrast.
- Lived in an area of known iodine deficiency.
- Clinical suspicion of thyroid disease.
ATA screening criteria identified four times as many patients requiring screening than did ACOG criteria, Dr. Dong noted. Of the 198 patients who met ACOG’s criteria, 43.9% were screened with thyroid function testing. Meanwhile, 826 patients – including all those who met ACOG’s criteria – met ATA’s criteria for screening, but only 13.1% of them underwent thyroid function testing.
Live birth rates were significantly higher among patients who met ATA criteria and were screened (92.6%) than among patients who met ATA criteria but were not screened (83.3%, P = .006). Similarly, the miscarriage rate was 4.6% in patients who met ATA criteria and were screened, compared to 12.4% in patients who met the criteria but did not undergo thyroid function testing (P = .009).
“A similar difference, although not statistically significant, was noted when comparing patients who were screened appropriately per ACOG criteria with those who met criteria for screening but were not screened,” Dr. Dong told attendees. “However, our study was underpowered to detect this difference due to the lower number of patients who meet criteria for screening under ACOG guidelines.”
The researchers did not find any significant difference in preterm delivery rates.
Anna Whelan, MD, of Women & Infants Hospital of Brown University, Providence, R.I., was not involved in the study but viewed the poster and pointed out that many of the patients, if seen by a primary care provider prior to pregnancy, would likely have been screened by their PCP. The rate of underscreening therefore suggests that patients “are not getting good, consistent primary care because there’s a lack of primary care physicians,” Dr. Whelan said in an interview.
In addition, she added, “maybe not all obstetricians and those providing care, such as midwives and other providers, are aware of the [ATA] guidelines on who should be screened.” She added that additional education about thyroid screening guidelines might be helpful for providers.
Dr. Dong reported being a stock shareholder in 3M, AbbVie, General Electric, Johnson & Johnson, Medtronic, Pfizer, and Viking Therapeutics. Dr. Whelan had no disclosures.
BALTIMORE – Less than half of the pregnant patients who met the criteria for thyroid screening were actually screened by their clinician, according to a retrospective cohort study presented at the annual clinical and scientific meeting of the American College of Obstetricians and Gynecologists in Baltimore. Those who met criteria and did receive screening had higher live birth rates and lower miscarriage rates than those who met the criteria but did not undergo screening, the study found.
“These results suggest that improving thyroid screening adherence may lead to improved pregnancy outcomes,” lead author Allan Dong, MD, of Advocate Lutheran General Hospital in Des Plaines, Ill., told attendees. “However, following targeted screening guidelines can be difficult for clinicians. In practice, universal screening for diabetes and pregnancy may provide more comprehensive screening coverage and potentially lead to improved outcomes.”
Instead of universal screening for thyroid disease, ACOG and the American Thyroid Association recommend targeted screening of high-risk patients, though ATA’s criteria are substantially broader than ACOG’s. But, Dr. Dong told attendees, “guidelines are only beneficial if they are followed appropriately,” and Ob.Gyns. have limited time to screen for risk factors in the midst of other clinical priorities. So he aimed to learn whether Ob.Gyns. were following the guidelines of either organization in screening people at higher risk for thyroid disease.
Dr. Dong and his coauthor, Melisa Lott, DO, reviewed the charts of all 1,025 patients who presented at their institution for new obstetrical visits in 2020 to determine which ones had risk factors that would qualify them for screening under ATA or ACOG guidelines. ACOG’s screening criteria included having a personal or family history of thyroid disease or type 1 diabetes, or there being clinical suspicion for thyroid disease. ATA’s screening criteria included the following:
- Personal or family history of thyroid disease.
- History of head or neck radiation.
- History of a prior thyroid surgery.
- Over age 30.
- Any autoimmune disease.
- A body mass index greater than 40 kg/m2.
- History of pregnancy loss, preterm delivery, or infertility.
- Recently used amiodarone lithium or iodine-based contrast.
- Lived in an area of known iodine deficiency.
- Clinical suspicion of thyroid disease.
ATA screening criteria identified four times as many patients requiring screening than did ACOG criteria, Dr. Dong noted. Of the 198 patients who met ACOG’s criteria, 43.9% were screened with thyroid function testing. Meanwhile, 826 patients – including all those who met ACOG’s criteria – met ATA’s criteria for screening, but only 13.1% of them underwent thyroid function testing.
Live birth rates were significantly higher among patients who met ATA criteria and were screened (92.6%) than among patients who met ATA criteria but were not screened (83.3%, P = .006). Similarly, the miscarriage rate was 4.6% in patients who met ATA criteria and were screened, compared to 12.4% in patients who met the criteria but did not undergo thyroid function testing (P = .009).
“A similar difference, although not statistically significant, was noted when comparing patients who were screened appropriately per ACOG criteria with those who met criteria for screening but were not screened,” Dr. Dong told attendees. “However, our study was underpowered to detect this difference due to the lower number of patients who meet criteria for screening under ACOG guidelines.”
The researchers did not find any significant difference in preterm delivery rates.
Anna Whelan, MD, of Women & Infants Hospital of Brown University, Providence, R.I., was not involved in the study but viewed the poster and pointed out that many of the patients, if seen by a primary care provider prior to pregnancy, would likely have been screened by their PCP. The rate of underscreening therefore suggests that patients “are not getting good, consistent primary care because there’s a lack of primary care physicians,” Dr. Whelan said in an interview.
In addition, she added, “maybe not all obstetricians and those providing care, such as midwives and other providers, are aware of the [ATA] guidelines on who should be screened.” She added that additional education about thyroid screening guidelines might be helpful for providers.
Dr. Dong reported being a stock shareholder in 3M, AbbVie, General Electric, Johnson & Johnson, Medtronic, Pfizer, and Viking Therapeutics. Dr. Whelan had no disclosures.
FROM ACOG 2023
Ear acupuncture with diet aids weight loss
DUBLIN – with high levels of visceral fat and overweight/obesity.
Three months of auricular acupuncture stimulation and dietary restriction led to a mean weight loss of nearly 9 kg plus a drop in waist circumference of more than 10 cm.
According to the researchers, acupuncture beads, used in Japan to augment weight loss for more than 30 years, are thought to stimulate nerves and organs that regulate appetite, satiety, hunger, and food cravings.
Findings of the observational study were presented by Takahiro Fujimoto, MD, PhD, Clinic F, Tokyo, at this year’s European Congress on Obesity.
Together with a prior study using the same intervention in women, Dr. Fujimoto and colleagues have now gathered data in more than 1,000 individuals, he said. “We wanted a method that was simple and noninvasive that would serve as a support to exercise and dietary therapy,” Dr. Fujimoto said in an interview.
“We believe there is an effect,” he asserted. “Acupuncture’s effect lies in stimulating the satiety center with benefits in helping individuals to control their food cravings and intake when reducing meals,” he said, pointing out that similar techniques have been used in patients undergoing withdrawal from drug addiction and in smoking cessation. He explained that acupuncture beads are believed to help individuals change their lifestyle habits, and added that “the relapse rate after 6 months is addressed in another paper, and it is very low.”
Professor Jason C.G. Halford, PhD, head of school at the University of Leeds, England, and president of the European Association for the Study of Obesity, commented on the findings. “There is no control group here receiving everything but the acupuncture,” he noted. “As such, it could be other elements of the intervention driving this [effect] including the act of keeping a food diary increasing awareness of one’s diet. A randomized controlled trial would be the next step.”
In women, the technique led to significantly more weight loss than in those who were untreated, and weight loss was maintained for 6 months after the end of treatment.
The researchers added that acupuncture stimulation with beads was a simpler method than traditional use of intradermal needles requiring expert acupuncturists. The stimulation is applied with 1.5-mm metal ear beads on 6 points of the outer ear (shen men, food pipe, upper stomach opening, stomach, lungs, and endocrine system) that correspond to meridian lines, and as such, restores the flow of qi by resolving any blockages or disruption. This may help with a variety of health conditions, according to the researchers. Placed on both ears, surgical tape was used to keep the beads in place to ensure participants continuously received uniform pressure on each of the six acupuncture points.
Dietary guidance was provided to participants to help reduce food intake by half, and nutritional supplements were given to compensate for any deficiencies. Participants attended twice-weekly clinic visits for bead sticking and diet progress monitoring. Body weight, body fat percentage, fat mass, lean mass, muscle mass, body mass index (BMI), and abdominal fat were assessed at the start and end of the study period.
“Since these tiny metal beads are attached to six points on the outer ear that stimulate nerves and organs which regulate appetite, satiety, and hunger, this type of acupuncture does not require complex knowledge or skill,” explained Dr. Fujimoto.
The results of the latest study, in men only, build on a prior study of more than 1,300 women who also received auricular acupuncture stimulation with beads as well as a halving of their food intake. In women, the weight loss program led to total body weight loss of 11.2% over 3 months.
At baseline, the 81 male participants, ages 21-78 years, had a mean BMI of 28.4 kg/m2 and mean waist circumference of 98.4 cm. Body fat percentage was 28.2%.
After 3 months, participants lost a mean of 8.6 kg (P < .001), decreased waist circumference by a mean of 10.4 cm (P < .001), and lost a mean of 4.0% of total body fat (P < .001). Visceral fat levels also fell by 2.2 points (P < .001), from 15.2 points at baseline to 13.0 points after 3 months. (A healthy visceral fat rating is between 1 and 12 points.) BMI decreased by almost 3 kg/m2 (from 28.4 at baseline to 25.5 at 3 months; P < .001).
Improvement in muscle-to-fat ratio was greater in men than women, whereas women had a greater decrease in percentage body fat than men.
“Whilst receiving ear acupuncture, the investigators asked participants to cut their food intake by half. It’s not unreasonable to expect that this major dietary change was the main reason participants lost weight,” remarked Graham Wheeler, PhD, statistical ambassador at the Royal Statistical Society, United Kingdom.
He also commented on the lack of a control group: “This study does not show us the impact of ear acupuncture on weight loss.”
Dr. Fujimoto and Dr. Halford have reported no relevant financial relationships. Dr. Wheeler is a statistical ambassador for the Royal Statistical Society, is employed by GSK, and holds an honorary senior lecturer post at Imperial College London.
A version of this article first appeared on Medscape.com.
DUBLIN – with high levels of visceral fat and overweight/obesity.
Three months of auricular acupuncture stimulation and dietary restriction led to a mean weight loss of nearly 9 kg plus a drop in waist circumference of more than 10 cm.
According to the researchers, acupuncture beads, used in Japan to augment weight loss for more than 30 years, are thought to stimulate nerves and organs that regulate appetite, satiety, hunger, and food cravings.
Findings of the observational study were presented by Takahiro Fujimoto, MD, PhD, Clinic F, Tokyo, at this year’s European Congress on Obesity.
Together with a prior study using the same intervention in women, Dr. Fujimoto and colleagues have now gathered data in more than 1,000 individuals, he said. “We wanted a method that was simple and noninvasive that would serve as a support to exercise and dietary therapy,” Dr. Fujimoto said in an interview.
“We believe there is an effect,” he asserted. “Acupuncture’s effect lies in stimulating the satiety center with benefits in helping individuals to control their food cravings and intake when reducing meals,” he said, pointing out that similar techniques have been used in patients undergoing withdrawal from drug addiction and in smoking cessation. He explained that acupuncture beads are believed to help individuals change their lifestyle habits, and added that “the relapse rate after 6 months is addressed in another paper, and it is very low.”
Professor Jason C.G. Halford, PhD, head of school at the University of Leeds, England, and president of the European Association for the Study of Obesity, commented on the findings. “There is no control group here receiving everything but the acupuncture,” he noted. “As such, it could be other elements of the intervention driving this [effect] including the act of keeping a food diary increasing awareness of one’s diet. A randomized controlled trial would be the next step.”
In women, the technique led to significantly more weight loss than in those who were untreated, and weight loss was maintained for 6 months after the end of treatment.
The researchers added that acupuncture stimulation with beads was a simpler method than traditional use of intradermal needles requiring expert acupuncturists. The stimulation is applied with 1.5-mm metal ear beads on 6 points of the outer ear (shen men, food pipe, upper stomach opening, stomach, lungs, and endocrine system) that correspond to meridian lines, and as such, restores the flow of qi by resolving any blockages or disruption. This may help with a variety of health conditions, according to the researchers. Placed on both ears, surgical tape was used to keep the beads in place to ensure participants continuously received uniform pressure on each of the six acupuncture points.
Dietary guidance was provided to participants to help reduce food intake by half, and nutritional supplements were given to compensate for any deficiencies. Participants attended twice-weekly clinic visits for bead sticking and diet progress monitoring. Body weight, body fat percentage, fat mass, lean mass, muscle mass, body mass index (BMI), and abdominal fat were assessed at the start and end of the study period.
“Since these tiny metal beads are attached to six points on the outer ear that stimulate nerves and organs which regulate appetite, satiety, and hunger, this type of acupuncture does not require complex knowledge or skill,” explained Dr. Fujimoto.
The results of the latest study, in men only, build on a prior study of more than 1,300 women who also received auricular acupuncture stimulation with beads as well as a halving of their food intake. In women, the weight loss program led to total body weight loss of 11.2% over 3 months.
At baseline, the 81 male participants, ages 21-78 years, had a mean BMI of 28.4 kg/m2 and mean waist circumference of 98.4 cm. Body fat percentage was 28.2%.
After 3 months, participants lost a mean of 8.6 kg (P < .001), decreased waist circumference by a mean of 10.4 cm (P < .001), and lost a mean of 4.0% of total body fat (P < .001). Visceral fat levels also fell by 2.2 points (P < .001), from 15.2 points at baseline to 13.0 points after 3 months. (A healthy visceral fat rating is between 1 and 12 points.) BMI decreased by almost 3 kg/m2 (from 28.4 at baseline to 25.5 at 3 months; P < .001).
Improvement in muscle-to-fat ratio was greater in men than women, whereas women had a greater decrease in percentage body fat than men.
“Whilst receiving ear acupuncture, the investigators asked participants to cut their food intake by half. It’s not unreasonable to expect that this major dietary change was the main reason participants lost weight,” remarked Graham Wheeler, PhD, statistical ambassador at the Royal Statistical Society, United Kingdom.
He also commented on the lack of a control group: “This study does not show us the impact of ear acupuncture on weight loss.”
Dr. Fujimoto and Dr. Halford have reported no relevant financial relationships. Dr. Wheeler is a statistical ambassador for the Royal Statistical Society, is employed by GSK, and holds an honorary senior lecturer post at Imperial College London.
A version of this article first appeared on Medscape.com.
DUBLIN – with high levels of visceral fat and overweight/obesity.
Three months of auricular acupuncture stimulation and dietary restriction led to a mean weight loss of nearly 9 kg plus a drop in waist circumference of more than 10 cm.
According to the researchers, acupuncture beads, used in Japan to augment weight loss for more than 30 years, are thought to stimulate nerves and organs that regulate appetite, satiety, hunger, and food cravings.
Findings of the observational study were presented by Takahiro Fujimoto, MD, PhD, Clinic F, Tokyo, at this year’s European Congress on Obesity.
Together with a prior study using the same intervention in women, Dr. Fujimoto and colleagues have now gathered data in more than 1,000 individuals, he said. “We wanted a method that was simple and noninvasive that would serve as a support to exercise and dietary therapy,” Dr. Fujimoto said in an interview.
“We believe there is an effect,” he asserted. “Acupuncture’s effect lies in stimulating the satiety center with benefits in helping individuals to control their food cravings and intake when reducing meals,” he said, pointing out that similar techniques have been used in patients undergoing withdrawal from drug addiction and in smoking cessation. He explained that acupuncture beads are believed to help individuals change their lifestyle habits, and added that “the relapse rate after 6 months is addressed in another paper, and it is very low.”
Professor Jason C.G. Halford, PhD, head of school at the University of Leeds, England, and president of the European Association for the Study of Obesity, commented on the findings. “There is no control group here receiving everything but the acupuncture,” he noted. “As such, it could be other elements of the intervention driving this [effect] including the act of keeping a food diary increasing awareness of one’s diet. A randomized controlled trial would be the next step.”
In women, the technique led to significantly more weight loss than in those who were untreated, and weight loss was maintained for 6 months after the end of treatment.
The researchers added that acupuncture stimulation with beads was a simpler method than traditional use of intradermal needles requiring expert acupuncturists. The stimulation is applied with 1.5-mm metal ear beads on 6 points of the outer ear (shen men, food pipe, upper stomach opening, stomach, lungs, and endocrine system) that correspond to meridian lines, and as such, restores the flow of qi by resolving any blockages or disruption. This may help with a variety of health conditions, according to the researchers. Placed on both ears, surgical tape was used to keep the beads in place to ensure participants continuously received uniform pressure on each of the six acupuncture points.
Dietary guidance was provided to participants to help reduce food intake by half, and nutritional supplements were given to compensate for any deficiencies. Participants attended twice-weekly clinic visits for bead sticking and diet progress monitoring. Body weight, body fat percentage, fat mass, lean mass, muscle mass, body mass index (BMI), and abdominal fat were assessed at the start and end of the study period.
“Since these tiny metal beads are attached to six points on the outer ear that stimulate nerves and organs which regulate appetite, satiety, and hunger, this type of acupuncture does not require complex knowledge or skill,” explained Dr. Fujimoto.
The results of the latest study, in men only, build on a prior study of more than 1,300 women who also received auricular acupuncture stimulation with beads as well as a halving of their food intake. In women, the weight loss program led to total body weight loss of 11.2% over 3 months.
At baseline, the 81 male participants, ages 21-78 years, had a mean BMI of 28.4 kg/m2 and mean waist circumference of 98.4 cm. Body fat percentage was 28.2%.
After 3 months, participants lost a mean of 8.6 kg (P < .001), decreased waist circumference by a mean of 10.4 cm (P < .001), and lost a mean of 4.0% of total body fat (P < .001). Visceral fat levels also fell by 2.2 points (P < .001), from 15.2 points at baseline to 13.0 points after 3 months. (A healthy visceral fat rating is between 1 and 12 points.) BMI decreased by almost 3 kg/m2 (from 28.4 at baseline to 25.5 at 3 months; P < .001).
Improvement in muscle-to-fat ratio was greater in men than women, whereas women had a greater decrease in percentage body fat than men.
“Whilst receiving ear acupuncture, the investigators asked participants to cut their food intake by half. It’s not unreasonable to expect that this major dietary change was the main reason participants lost weight,” remarked Graham Wheeler, PhD, statistical ambassador at the Royal Statistical Society, United Kingdom.
He also commented on the lack of a control group: “This study does not show us the impact of ear acupuncture on weight loss.”
Dr. Fujimoto and Dr. Halford have reported no relevant financial relationships. Dr. Wheeler is a statistical ambassador for the Royal Statistical Society, is employed by GSK, and holds an honorary senior lecturer post at Imperial College London.
A version of this article first appeared on Medscape.com.
AT ECO 2023
Glucagon Prescription Rates for Individuals With Type 1 Diabetes Mellitus Following Implementation of an Electronic Health Records Intervention
From Vanderbilt University School of Medicine, and Vanderbilt University Medical Center, Nashville, TN.
ABSTRACT
Objective: Severe hypoglycemia can alter consciousness and inhibit oral intake, requiring nonoral rescue glucagon administration to raise blood glucose to safe levels. Thus, current guidelines recommend glucagon kit prescriptions for all patients at risk for hypoglycemia, especially patients with type 1 diabetes mellitus (T1DM). At the diabetes outpatient clinic at a tertiary medical center, glucagon prescription rates for T1DM patients remained suboptimal.
Methods: A quality improvement team analyzed patient flow through the endocrinology clinic and identified the lack of a systematic approach to assessing patients for home glucagon prescriptions as a major barrier. The team implemented 2 successive interventions. First, intake staff indicated whether patients lacked an active glucagon prescription on patients’ face sheets. Second, clinical pharmacists reviewed patient prescriptions prior to scheduled visits and pended glucagon orders for patients without active prescriptions. Of note, when a pharmacy pends an order, the pharmacist enters an order into the electronic health record (EHR) but does not sign it. The order is saved for a provider to later access and sign. A statistical process control p-chart tracked monthly prescription rates.
Results: After 7 months, glucagon prescription rates increased from a baseline of 59% to 72% as the new steady state.
Conclusion: This project demonstrates that a series of interventions can improve glucagon prescription rates for patients at risk for hypoglycemia. The project’s success stemmed from combining an EHR-generated report and interdisciplinary staff members’ involvement. Other endocrinology clinics may incorporate this approach to implement similar processes and improve glucagon prescription rates.
Keywords: diabetes, hypoglycemia, glucagon, quality improvement, prescription rates, medical student.
Hypoglycemia limits the management of blood glucose in patients with type 1 diabetes mellitus (T1DM). Severe hypoglycemia, characterized by altered mental status (AMS) or physical status requiring assistance for recovery, can lead to seizure, coma, or death.1 Hypoglycemia in diabetes often occurs iatrogenically, primarily from insulin therapy: 30% to 40% of patients with T1DM and 10% to 30% of patients with insulin-treated type 2 diabetes mellitus experience severe hypoglycemia in a given year.2 One study estimated that nearly 100,000 emergency department visits for hypoglycemia occur in the United States per year, with almost one-third resulting in hospitalization.3
Most patients self-treat mild hypoglycemia with oral intake of carbohydrates. However, since hypoglycemia-induced nausea and AMS can make oral intake more difficult or prevent it entirely, patients require a treatment that family, friends, or coworkers can administer. Rescue glucagon, prescribed as intramuscular injections or intranasal sprays, raises blood glucose to safe levels in 10 to 15 minutes.4 Therefore, the American Diabetes Association (ADA) recommends glucagon for all patients at risk for hypoglycemia, especially patients with T1DM.5 Despite the ADA’s recommendation, current evidence suggests suboptimal glucagon prescription rates, particularly in patients with T1DM. One study reported that, although 85% of US adults with T1DM had formerly been prescribed glucagon, only 68% of these patients (57.8% overall) had a current prescription.4 Few quality improvement efforts have tackled increasing prescription rates. Prior successful studies have attempted to do so via pharmacist-led educational interventions for providers6 and via electronic health record (EHR) notifications for patient risk.7 The project described here aimed to expand upon prior studies with a quality improvement project to increase glucagon prescription rates among patients at risk for severe hypoglycemia.
Methods
Setting
This study was conducted at a tertiary medical center’s outpatient diabetes clinic; the clinic treats more than 9500 patients with DM annually, more than 2700 of whom have T1DM. In the clinic’s multidisciplinary care model, patients typically follow up every 3 to 6 months, alternating between appointments with fellowship-trained endocrinologists and advanced practice providers (APPs). In addition to having certified diabetes educators, the clinic employs 2 dedicated clinical pharmacists whose duties include assisting providers in prescription management, helping patients identify the most affordable way to obtain their medications, and educating patients regarding their medications.
Patient flow through the clinic involves close coordination with multiple health professionals. Medical assistants (MAs) and licensed practical nurses (LPNs) perform patient intake, document vital signs, and ask screening questions, including dates of patients’ last hemoglobin A1c tests and diabetic eye examination. After intake, the provider (endocrinologist or APP) sees the patient. Once the appointment concludes, patients proceed to the in-house phlebotomy laboratory as indicated and check out with administrative staff to schedule future appointments.
Project Design
From August 2021 through June 2022, teams of medical students at the tertiary center completed this project as part of a 4-week integrated science course on diabetes. Longitudinal supervision by an endocrinology faculty member ensured project continuity. The project employed the Standards for QUality Improvement Reporting Excellence (SQUIRE 2.0) method for reporting.8
Stakeholder analysis took place in August 2021. Surveyed clinic providers identified patients with T1DM as the most appropriate population and the outpatient setting as the most appropriate site for intervention. A fishbone diagram illustrated stakeholders to interview, impacts of the clinical flow, information technology to leverage, and potential holes contributing to glucagon prescription conversations falling through.
Interviews with T1DM patients, clinical pharmacists, APPs, MAs/LPNs, and endocrinologists identified barriers to glucagon prescription. The interviews and a process map analysis revealed several themes. While patients and providers understood the importance of glucagon prescription, barriers included glucagon cost, prescription fill burden, and, most pervasively, providers forgetting to ask patients whether they have a glucagon prescription and failing to consider glucagon prescriptions.For this study, each team of medical students worked on the project for 1 month. The revolving teams of medical students met approximately once per week for the duration of the project to review data and implementation phases. At the end of each month, the current team recorded the steps they had taken and information they had analyzed in a shared document, prepared short videos summarizing the work completed, and proposed next steps for the incoming team to support knowledge generation and continuity. Students from outgoing teams were available to contact if incoming teams had any questions.
Interventions
In the first implementation phase, which was carried out over 4 months (December 2021 to March 2022), the patient care manager trained MAs/LPNs to write a glucagon reminder on patients’ face sheets. At check-in, MAs/LPNs screened for a current glucagon prescription. If the patient lacked an up-to-date prescription, the MAs/LPNs hand-wrote a reminder on the patient’s face sheet, which was given to the provider immediately prior to seeing the patient. The clinical staff received an email explaining the intervention beforehand; the daily intake staff email included project reminders.
In the second implementation phase, which started in April 2022, had been carried out for 3 months at the time of this report, and is ongoing, clinical pharmacists have been pending glucagon prescriptions ahead of patients’ appointments. Each week, the pharmacists generate an EHR report that includes all patients with T1DM who have attended at least 1 appointment at the clinic within the past year (regardless of whether each patient possessed an active and up-to-date glucagon prescription) and the date of each patient’s next appointment. For patients who have an appointment in the upcoming week and lack an active glucagon prescription, the pharmacists run a benefits investigation to determine the insurance-preferred glucagon formulation and then pend the appropriate order in the EHR. During the patient’s next appointment, the EHR prompts the provider to review and sign the pharmacist’s pended order (Figure 1).
Measures
This project used a process measure in its analysis: the percentage of patients with T1DM with an active glucagon prescription at the time of their visit to the clinic. The patient population included all patients with a visit diagnosis of T1DM seen by an APP at the clinic during the time scope of the project. The project’s scope was limited to patients seen by APPs to help standardize appointment comparisons, with the intent to expand to the endocrinologist staff if the interventions proved successful with APPs. Patients seen by APPs were also under the care of endocrinologists and seen by them during this time period. The project excluded no patients.
Each individual patient appointment represented a data point: a time at which an APP could prescribe glucagon for a patient with T1DM. Thus, a single patient who had multiple appointments during the study period would generate multiple data points in this study.
Specific Aims and Analysis
For all T1DM patients at the clinic seen by an APP during the study period, the project aimed to increase the percentage with an active and up-to-date glucagon prescription from 58.8% to 70% over a 6-month period, a relatively modest goal appropriate for the time constraints and that would be similar to the changes seen in previous work in the same clinic.9
This project analyzed de-identified data using a statistical process control chart (specifically, a p-chart) and standard rules for assessing special-cause signals and thus statistical significance.
Results
Baseline data were collected from October 2020 to September 2021. During this time, APPs saw 1959 T1DM patients, of whom 1152 (58.8%) had an active glucagon prescription at the time of visit and 41.2% lacked a glucagon prescription (Figure 2). During the 4 months of implementation phase 1, analysis of the statistical process control chart identified no special cause signal. Therefore, the project moved to a second intervention with implementation phase 2 in April 2022 (3 months of postintervention data are reported). During the entire intervention, 731 of 1080 (67.7%) patients had a glucagon prescription. The average for the last 2 months, with phase 2 fully implemented, was 72.3%, surpassing the 70% threshold identified as the study target (Figure 3).
Interviews with clinical pharmacists during implementation phase 2 revealed that generating the EHR report and reviewing patients with glucagon prescription indications resulted in variable daily workload increases ranging from approximately 15 to 45 minutes, depending on the number of patients requiring intervention that day. During the first month of implementation phase 2, the EHR report required repeated modification to fulfill the intervention needs. Staffing changes over the intervention period potentially impacted the pattern of glucagon prescribing. This project excluded the 2 months immediately prior to implementation phase 1, from October 2021 to November 2021, because the staff had begun having discussions about this initiative, which may have influenced glucagon prescription rates.
Discussion
This project evaluated 2 interventions over the course of 7 months to determine their efficacy in increasing the frequency of glucagon prescribing for individuals with T1DM in an endocrinology clinic. These interventions were associated with increased prescribing from a baseline of 58.8% to 72.3% over the last 2 months of the project. In the first intervention, performed over 4 months, MAs/LPNs wrote reminders on the appropriate patients’ face sheets, which were given to providers prior to appointments. This project adapted the approach from a successful previous quality improvement study on increasing microalbuminuria screening rates.9 However, glucagon prescription rates did not increase significantly, likely because, unlike with microalbuminuria screenings, MAs/LPNs could not pend glucagon prescriptions.
In the second intervention, performed over 3 months, clinical pharmacists pended glucagon prescriptions for identified eligible patients. Glucagon prescribing rates increased considerably, with rates of 72.3% and 72.4% over May and June 2021, respectively, indicating that the intervention successfully established a new higher steady state of proportion of patient visits with active glucagon prescriptions compared with the baseline rate of 58.8%. Given that the baseline data for this clinic were higher than the baseline glucagon prescription rates reported in other studies (49.3%),10 this intervention could have a major impact in clinics with a baseline more comparable to conditions in that study.
This project demonstrated how a combination of an EHR-generated report and interdisciplinary involvement provides an actionable process to increase glucagon prescription rates for patients with T1DM. Compared to prior studies that implemented passive interventions, such as a note template that relies on provider adherence,7 this project emphasizes the benefit of implementing an active systems-level intervention with a pre-pended order.
Regarding prior studies, 1 large, 2-arm study of clinical pharmacists proactively pending orders for appropriate patients showed a 56% glucagon prescription rate in the intervention group, compared with 0.9% in the control group with no pharmacist intervention.11 Our project had a much higher baseline rate: 58.8% prior to intervention vs 0.9% in the nonintervention group for the previous study—likely due to its chosen location’s status as an endocrinology clinic rather than a general health care setting.
A different study that focused on patient education rather than glucagon prescription rates used similar EHR-generated reports to identify appropriate patients and assessed glucagon prescription needs during check-in. Following the educational interventions in that study, patients reporting self-comfort and education with glucagon administration significantly increased from 66.2% to 83.2%, and household member comfort and education with glucagon administration increased from 50.8% to 79.7%. This suggests the possibility of expanding the use of the EHR-generated report to assist not only with increasing glucagon prescription rates, but also with patient education on glucagon use rates and possibly fill rates.7 While novel glucagon products may change uptake rates, no new glucagon products arose or were prescribed at this clinic during the course of data collection.
Of note, our project increased the workload on clinical pharmacists. The pharmacists agreed to participate, despite the increased work, after a collaborative discussion about how to best address the need to increase glucagon prescriptions or patient safety; the pharmacy department had initially agreed to collaborate specifically to identify and attend to unmet needs such as this one. Although this project greatly benefited from the expertise and enthusiasm of the clinical pharmacists involved, this tradeoff requires further study to determine sustainability.
Limitations
This project had several limitations. Because of the structure in which this intervention occurred (a year-long course with rotating groups of medical students), there was a necessary component of time constraint, and this project had just 2 implementation phases, for a total of 7 months of postintervention data. The clinic has permanently implemented these changes into its workflow, but subsequent assessments are needed to monitor the effects and assess sustainability.
The specific clinical site chosen for this study benefited from dedicated onsite clinical pharmacists, who are not available at all comparable clinical sites. Due to feasibility, this project only assessed whether the providers prescribed the glucagon, not whether the patients filled the prescriptions and used the glucagon when necessary. Although prescribing rates increased in our study, it cannot be assumed that fill rates increased identically.
Finally, interventions relying on EHR-generated reports carry inherent limitations, such as the risk of misidentification or omission of patients who had indications for a glucagon prescription. The project attempted to mitigate this limitation through random sampling of the EHR report to ensure accuracy. Additionally, EHR-generated reports encourage sustainability and expansion to all clinic patients, with far less required overhead work compared to manually derived data.
Future investigations may focus on expanding this intervention to all patients at risk for hypoglycemia, as well as to study further interventions into prescription fill rates and glucagon use rates.
Conclusion
This project indicates that a proactive, interdisciplinary quality improvement project can increase glucagon prescription rates for patients with T1DM in the outpatient setting. The most effective intervention mobilized clinical pharmacists to identify patients with indications for a glucagon prescription using an integrated EHR-generated report and subsequently pend a glucagon order for the endocrinology provider to sign during the visit. The strengths of the approach included using a multidisciplinary team, minimizing costs to patients by leveraging the pharmacists’ expertise to ensure insurance coverage of specific formulations, and utilizing automatic EHR reporting to streamline patient identification. Ideally, improvements in glucagon prescription rates should ultimately decrease hospitalizations and improve treatment of severe hypoglycemia for at-risk patients.
Corresponding author: Chase D. Hendrickson, MD, MPH; [email protected]
Disclosures: None reported.
1. Weinstock RS, Aleppo G, Bailey TS, et al. The Role of Blood Glucose Monitoring in Diabetes Management. American Diabetes Association; 2020.
2. Lamounier RN, Geloneze B, Leite SO, et al. Hypoglycemia incidence and awareness among insulin-treated patients with diabetes: the HAT study in Brazil. Diabetol Metab Syndr. 2018;10:83. doi:10.1186/s13098-018-0379-5
3. Li P, Geng Z, Ladage VP, et al. Early hypoglycaemia and adherence after basal insulin initiation in a nationally representative sample of Medicare beneficiaries with type 2 diabetes. Diabetes Obes Metab. 2019;21(11):2486-2495. doi:10.1111/dom.13832
4. Haymond MW, Liu J, Bispham J, et al. Use of glucagon in patients with type 1 diabetes. Clin Diabetes. 2019;37(2):162-166. doi:10.2337/cd18-0028
5. American Diabetes Association Professional Practice Committee. 6. Glycemic targets: standards of medical care in diabetes-2022. Diabetes Care. 2022; 45(Suppl 1):S83-S96. doi:10.2337/dc22-S006
6. O’Reilly EA, Cross LV, Hayes JS, et al. Impact of pharmacist intervention on glucagon prescribing patterns in an outpatient internal medicine teaching clinic. J Am Pharm Assoc (2003). 2020;60(2):384-390. doi:10.1016/j.japh.2019.04.0097.
7. Cobb EC, Watson NA, Wardian J, et al. Diabetes Center of Excellence Hypoglycemia Emergency Preparedness Project. Clin Diabetes. 2018;36(2):184-186. doi:10.2337/cd17-0040
8. Ogrinc G, Davies L, Goodman D, et al. SQUIRE 2.0 (Standards for QUality Improvement Reporting Excellence): revised publication guidelines from a detailed consensus process. BMJ Qual Saf. 2016;25(12):986-992. doi:10.1136/bmjqs-2015-004411
9. Kam S, Angaramo S, Antoun J, et al. Improving annual albuminuria testing for individuals with diabetes. BMJ Open Qual. 2022;11(1):e001591. doi:10.1136/bmjoq-2021-001591
10. Mitchell BD, He X, Sturdy IM, et al. Glucagon prescription patterns in patients with either type 1 or 2 diabetes with newly prescribed insulin. Endocr Pract. 2016;22(2):123-135. doi:10.4158/EP15831.OR
11. Whitfield N, Gregory P, Liu B, et al. Impact of pharmacist outreach on glucagon prescribing. J Am Pharm Assoc. 2022;62(4):1384-1388.e.1. doi:10.1016/j.japh.2022.01.017
From Vanderbilt University School of Medicine, and Vanderbilt University Medical Center, Nashville, TN.
ABSTRACT
Objective: Severe hypoglycemia can alter consciousness and inhibit oral intake, requiring nonoral rescue glucagon administration to raise blood glucose to safe levels. Thus, current guidelines recommend glucagon kit prescriptions for all patients at risk for hypoglycemia, especially patients with type 1 diabetes mellitus (T1DM). At the diabetes outpatient clinic at a tertiary medical center, glucagon prescription rates for T1DM patients remained suboptimal.
Methods: A quality improvement team analyzed patient flow through the endocrinology clinic and identified the lack of a systematic approach to assessing patients for home glucagon prescriptions as a major barrier. The team implemented 2 successive interventions. First, intake staff indicated whether patients lacked an active glucagon prescription on patients’ face sheets. Second, clinical pharmacists reviewed patient prescriptions prior to scheduled visits and pended glucagon orders for patients without active prescriptions. Of note, when a pharmacy pends an order, the pharmacist enters an order into the electronic health record (EHR) but does not sign it. The order is saved for a provider to later access and sign. A statistical process control p-chart tracked monthly prescription rates.
Results: After 7 months, glucagon prescription rates increased from a baseline of 59% to 72% as the new steady state.
Conclusion: This project demonstrates that a series of interventions can improve glucagon prescription rates for patients at risk for hypoglycemia. The project’s success stemmed from combining an EHR-generated report and interdisciplinary staff members’ involvement. Other endocrinology clinics may incorporate this approach to implement similar processes and improve glucagon prescription rates.
Keywords: diabetes, hypoglycemia, glucagon, quality improvement, prescription rates, medical student.
Hypoglycemia limits the management of blood glucose in patients with type 1 diabetes mellitus (T1DM). Severe hypoglycemia, characterized by altered mental status (AMS) or physical status requiring assistance for recovery, can lead to seizure, coma, or death.1 Hypoglycemia in diabetes often occurs iatrogenically, primarily from insulin therapy: 30% to 40% of patients with T1DM and 10% to 30% of patients with insulin-treated type 2 diabetes mellitus experience severe hypoglycemia in a given year.2 One study estimated that nearly 100,000 emergency department visits for hypoglycemia occur in the United States per year, with almost one-third resulting in hospitalization.3
Most patients self-treat mild hypoglycemia with oral intake of carbohydrates. However, since hypoglycemia-induced nausea and AMS can make oral intake more difficult or prevent it entirely, patients require a treatment that family, friends, or coworkers can administer. Rescue glucagon, prescribed as intramuscular injections or intranasal sprays, raises blood glucose to safe levels in 10 to 15 minutes.4 Therefore, the American Diabetes Association (ADA) recommends glucagon for all patients at risk for hypoglycemia, especially patients with T1DM.5 Despite the ADA’s recommendation, current evidence suggests suboptimal glucagon prescription rates, particularly in patients with T1DM. One study reported that, although 85% of US adults with T1DM had formerly been prescribed glucagon, only 68% of these patients (57.8% overall) had a current prescription.4 Few quality improvement efforts have tackled increasing prescription rates. Prior successful studies have attempted to do so via pharmacist-led educational interventions for providers6 and via electronic health record (EHR) notifications for patient risk.7 The project described here aimed to expand upon prior studies with a quality improvement project to increase glucagon prescription rates among patients at risk for severe hypoglycemia.
Methods
Setting
This study was conducted at a tertiary medical center’s outpatient diabetes clinic; the clinic treats more than 9500 patients with DM annually, more than 2700 of whom have T1DM. In the clinic’s multidisciplinary care model, patients typically follow up every 3 to 6 months, alternating between appointments with fellowship-trained endocrinologists and advanced practice providers (APPs). In addition to having certified diabetes educators, the clinic employs 2 dedicated clinical pharmacists whose duties include assisting providers in prescription management, helping patients identify the most affordable way to obtain their medications, and educating patients regarding their medications.
Patient flow through the clinic involves close coordination with multiple health professionals. Medical assistants (MAs) and licensed practical nurses (LPNs) perform patient intake, document vital signs, and ask screening questions, including dates of patients’ last hemoglobin A1c tests and diabetic eye examination. After intake, the provider (endocrinologist or APP) sees the patient. Once the appointment concludes, patients proceed to the in-house phlebotomy laboratory as indicated and check out with administrative staff to schedule future appointments.
Project Design
From August 2021 through June 2022, teams of medical students at the tertiary center completed this project as part of a 4-week integrated science course on diabetes. Longitudinal supervision by an endocrinology faculty member ensured project continuity. The project employed the Standards for QUality Improvement Reporting Excellence (SQUIRE 2.0) method for reporting.8
Stakeholder analysis took place in August 2021. Surveyed clinic providers identified patients with T1DM as the most appropriate population and the outpatient setting as the most appropriate site for intervention. A fishbone diagram illustrated stakeholders to interview, impacts of the clinical flow, information technology to leverage, and potential holes contributing to glucagon prescription conversations falling through.
Interviews with T1DM patients, clinical pharmacists, APPs, MAs/LPNs, and endocrinologists identified barriers to glucagon prescription. The interviews and a process map analysis revealed several themes. While patients and providers understood the importance of glucagon prescription, barriers included glucagon cost, prescription fill burden, and, most pervasively, providers forgetting to ask patients whether they have a glucagon prescription and failing to consider glucagon prescriptions.For this study, each team of medical students worked on the project for 1 month. The revolving teams of medical students met approximately once per week for the duration of the project to review data and implementation phases. At the end of each month, the current team recorded the steps they had taken and information they had analyzed in a shared document, prepared short videos summarizing the work completed, and proposed next steps for the incoming team to support knowledge generation and continuity. Students from outgoing teams were available to contact if incoming teams had any questions.
Interventions
In the first implementation phase, which was carried out over 4 months (December 2021 to March 2022), the patient care manager trained MAs/LPNs to write a glucagon reminder on patients’ face sheets. At check-in, MAs/LPNs screened for a current glucagon prescription. If the patient lacked an up-to-date prescription, the MAs/LPNs hand-wrote a reminder on the patient’s face sheet, which was given to the provider immediately prior to seeing the patient. The clinical staff received an email explaining the intervention beforehand; the daily intake staff email included project reminders.
In the second implementation phase, which started in April 2022, had been carried out for 3 months at the time of this report, and is ongoing, clinical pharmacists have been pending glucagon prescriptions ahead of patients’ appointments. Each week, the pharmacists generate an EHR report that includes all patients with T1DM who have attended at least 1 appointment at the clinic within the past year (regardless of whether each patient possessed an active and up-to-date glucagon prescription) and the date of each patient’s next appointment. For patients who have an appointment in the upcoming week and lack an active glucagon prescription, the pharmacists run a benefits investigation to determine the insurance-preferred glucagon formulation and then pend the appropriate order in the EHR. During the patient’s next appointment, the EHR prompts the provider to review and sign the pharmacist’s pended order (Figure 1).
Measures
This project used a process measure in its analysis: the percentage of patients with T1DM with an active glucagon prescription at the time of their visit to the clinic. The patient population included all patients with a visit diagnosis of T1DM seen by an APP at the clinic during the time scope of the project. The project’s scope was limited to patients seen by APPs to help standardize appointment comparisons, with the intent to expand to the endocrinologist staff if the interventions proved successful with APPs. Patients seen by APPs were also under the care of endocrinologists and seen by them during this time period. The project excluded no patients.
Each individual patient appointment represented a data point: a time at which an APP could prescribe glucagon for a patient with T1DM. Thus, a single patient who had multiple appointments during the study period would generate multiple data points in this study.
Specific Aims and Analysis
For all T1DM patients at the clinic seen by an APP during the study period, the project aimed to increase the percentage with an active and up-to-date glucagon prescription from 58.8% to 70% over a 6-month period, a relatively modest goal appropriate for the time constraints and that would be similar to the changes seen in previous work in the same clinic.9
This project analyzed de-identified data using a statistical process control chart (specifically, a p-chart) and standard rules for assessing special-cause signals and thus statistical significance.
Results
Baseline data were collected from October 2020 to September 2021. During this time, APPs saw 1959 T1DM patients, of whom 1152 (58.8%) had an active glucagon prescription at the time of visit and 41.2% lacked a glucagon prescription (Figure 2). During the 4 months of implementation phase 1, analysis of the statistical process control chart identified no special cause signal. Therefore, the project moved to a second intervention with implementation phase 2 in April 2022 (3 months of postintervention data are reported). During the entire intervention, 731 of 1080 (67.7%) patients had a glucagon prescription. The average for the last 2 months, with phase 2 fully implemented, was 72.3%, surpassing the 70% threshold identified as the study target (Figure 3).
Interviews with clinical pharmacists during implementation phase 2 revealed that generating the EHR report and reviewing patients with glucagon prescription indications resulted in variable daily workload increases ranging from approximately 15 to 45 minutes, depending on the number of patients requiring intervention that day. During the first month of implementation phase 2, the EHR report required repeated modification to fulfill the intervention needs. Staffing changes over the intervention period potentially impacted the pattern of glucagon prescribing. This project excluded the 2 months immediately prior to implementation phase 1, from October 2021 to November 2021, because the staff had begun having discussions about this initiative, which may have influenced glucagon prescription rates.
Discussion
This project evaluated 2 interventions over the course of 7 months to determine their efficacy in increasing the frequency of glucagon prescribing for individuals with T1DM in an endocrinology clinic. These interventions were associated with increased prescribing from a baseline of 58.8% to 72.3% over the last 2 months of the project. In the first intervention, performed over 4 months, MAs/LPNs wrote reminders on the appropriate patients’ face sheets, which were given to providers prior to appointments. This project adapted the approach from a successful previous quality improvement study on increasing microalbuminuria screening rates.9 However, glucagon prescription rates did not increase significantly, likely because, unlike with microalbuminuria screenings, MAs/LPNs could not pend glucagon prescriptions.
In the second intervention, performed over 3 months, clinical pharmacists pended glucagon prescriptions for identified eligible patients. Glucagon prescribing rates increased considerably, with rates of 72.3% and 72.4% over May and June 2021, respectively, indicating that the intervention successfully established a new higher steady state of proportion of patient visits with active glucagon prescriptions compared with the baseline rate of 58.8%. Given that the baseline data for this clinic were higher than the baseline glucagon prescription rates reported in other studies (49.3%),10 this intervention could have a major impact in clinics with a baseline more comparable to conditions in that study.
This project demonstrated how a combination of an EHR-generated report and interdisciplinary involvement provides an actionable process to increase glucagon prescription rates for patients with T1DM. Compared to prior studies that implemented passive interventions, such as a note template that relies on provider adherence,7 this project emphasizes the benefit of implementing an active systems-level intervention with a pre-pended order.
Regarding prior studies, 1 large, 2-arm study of clinical pharmacists proactively pending orders for appropriate patients showed a 56% glucagon prescription rate in the intervention group, compared with 0.9% in the control group with no pharmacist intervention.11 Our project had a much higher baseline rate: 58.8% prior to intervention vs 0.9% in the nonintervention group for the previous study—likely due to its chosen location’s status as an endocrinology clinic rather than a general health care setting.
A different study that focused on patient education rather than glucagon prescription rates used similar EHR-generated reports to identify appropriate patients and assessed glucagon prescription needs during check-in. Following the educational interventions in that study, patients reporting self-comfort and education with glucagon administration significantly increased from 66.2% to 83.2%, and household member comfort and education with glucagon administration increased from 50.8% to 79.7%. This suggests the possibility of expanding the use of the EHR-generated report to assist not only with increasing glucagon prescription rates, but also with patient education on glucagon use rates and possibly fill rates.7 While novel glucagon products may change uptake rates, no new glucagon products arose or were prescribed at this clinic during the course of data collection.
Of note, our project increased the workload on clinical pharmacists. The pharmacists agreed to participate, despite the increased work, after a collaborative discussion about how to best address the need to increase glucagon prescriptions or patient safety; the pharmacy department had initially agreed to collaborate specifically to identify and attend to unmet needs such as this one. Although this project greatly benefited from the expertise and enthusiasm of the clinical pharmacists involved, this tradeoff requires further study to determine sustainability.
Limitations
This project had several limitations. Because of the structure in which this intervention occurred (a year-long course with rotating groups of medical students), there was a necessary component of time constraint, and this project had just 2 implementation phases, for a total of 7 months of postintervention data. The clinic has permanently implemented these changes into its workflow, but subsequent assessments are needed to monitor the effects and assess sustainability.
The specific clinical site chosen for this study benefited from dedicated onsite clinical pharmacists, who are not available at all comparable clinical sites. Due to feasibility, this project only assessed whether the providers prescribed the glucagon, not whether the patients filled the prescriptions and used the glucagon when necessary. Although prescribing rates increased in our study, it cannot be assumed that fill rates increased identically.
Finally, interventions relying on EHR-generated reports carry inherent limitations, such as the risk of misidentification or omission of patients who had indications for a glucagon prescription. The project attempted to mitigate this limitation through random sampling of the EHR report to ensure accuracy. Additionally, EHR-generated reports encourage sustainability and expansion to all clinic patients, with far less required overhead work compared to manually derived data.
Future investigations may focus on expanding this intervention to all patients at risk for hypoglycemia, as well as to study further interventions into prescription fill rates and glucagon use rates.
Conclusion
This project indicates that a proactive, interdisciplinary quality improvement project can increase glucagon prescription rates for patients with T1DM in the outpatient setting. The most effective intervention mobilized clinical pharmacists to identify patients with indications for a glucagon prescription using an integrated EHR-generated report and subsequently pend a glucagon order for the endocrinology provider to sign during the visit. The strengths of the approach included using a multidisciplinary team, minimizing costs to patients by leveraging the pharmacists’ expertise to ensure insurance coverage of specific formulations, and utilizing automatic EHR reporting to streamline patient identification. Ideally, improvements in glucagon prescription rates should ultimately decrease hospitalizations and improve treatment of severe hypoglycemia for at-risk patients.
Corresponding author: Chase D. Hendrickson, MD, MPH; [email protected]
Disclosures: None reported.
From Vanderbilt University School of Medicine, and Vanderbilt University Medical Center, Nashville, TN.
ABSTRACT
Objective: Severe hypoglycemia can alter consciousness and inhibit oral intake, requiring nonoral rescue glucagon administration to raise blood glucose to safe levels. Thus, current guidelines recommend glucagon kit prescriptions for all patients at risk for hypoglycemia, especially patients with type 1 diabetes mellitus (T1DM). At the diabetes outpatient clinic at a tertiary medical center, glucagon prescription rates for T1DM patients remained suboptimal.
Methods: A quality improvement team analyzed patient flow through the endocrinology clinic and identified the lack of a systematic approach to assessing patients for home glucagon prescriptions as a major barrier. The team implemented 2 successive interventions. First, intake staff indicated whether patients lacked an active glucagon prescription on patients’ face sheets. Second, clinical pharmacists reviewed patient prescriptions prior to scheduled visits and pended glucagon orders for patients without active prescriptions. Of note, when a pharmacy pends an order, the pharmacist enters an order into the electronic health record (EHR) but does not sign it. The order is saved for a provider to later access and sign. A statistical process control p-chart tracked monthly prescription rates.
Results: After 7 months, glucagon prescription rates increased from a baseline of 59% to 72% as the new steady state.
Conclusion: This project demonstrates that a series of interventions can improve glucagon prescription rates for patients at risk for hypoglycemia. The project’s success stemmed from combining an EHR-generated report and interdisciplinary staff members’ involvement. Other endocrinology clinics may incorporate this approach to implement similar processes and improve glucagon prescription rates.
Keywords: diabetes, hypoglycemia, glucagon, quality improvement, prescription rates, medical student.
Hypoglycemia limits the management of blood glucose in patients with type 1 diabetes mellitus (T1DM). Severe hypoglycemia, characterized by altered mental status (AMS) or physical status requiring assistance for recovery, can lead to seizure, coma, or death.1 Hypoglycemia in diabetes often occurs iatrogenically, primarily from insulin therapy: 30% to 40% of patients with T1DM and 10% to 30% of patients with insulin-treated type 2 diabetes mellitus experience severe hypoglycemia in a given year.2 One study estimated that nearly 100,000 emergency department visits for hypoglycemia occur in the United States per year, with almost one-third resulting in hospitalization.3
Most patients self-treat mild hypoglycemia with oral intake of carbohydrates. However, since hypoglycemia-induced nausea and AMS can make oral intake more difficult or prevent it entirely, patients require a treatment that family, friends, or coworkers can administer. Rescue glucagon, prescribed as intramuscular injections or intranasal sprays, raises blood glucose to safe levels in 10 to 15 minutes.4 Therefore, the American Diabetes Association (ADA) recommends glucagon for all patients at risk for hypoglycemia, especially patients with T1DM.5 Despite the ADA’s recommendation, current evidence suggests suboptimal glucagon prescription rates, particularly in patients with T1DM. One study reported that, although 85% of US adults with T1DM had formerly been prescribed glucagon, only 68% of these patients (57.8% overall) had a current prescription.4 Few quality improvement efforts have tackled increasing prescription rates. Prior successful studies have attempted to do so via pharmacist-led educational interventions for providers6 and via electronic health record (EHR) notifications for patient risk.7 The project described here aimed to expand upon prior studies with a quality improvement project to increase glucagon prescription rates among patients at risk for severe hypoglycemia.
Methods
Setting
This study was conducted at a tertiary medical center’s outpatient diabetes clinic; the clinic treats more than 9500 patients with DM annually, more than 2700 of whom have T1DM. In the clinic’s multidisciplinary care model, patients typically follow up every 3 to 6 months, alternating between appointments with fellowship-trained endocrinologists and advanced practice providers (APPs). In addition to having certified diabetes educators, the clinic employs 2 dedicated clinical pharmacists whose duties include assisting providers in prescription management, helping patients identify the most affordable way to obtain their medications, and educating patients regarding their medications.
Patient flow through the clinic involves close coordination with multiple health professionals. Medical assistants (MAs) and licensed practical nurses (LPNs) perform patient intake, document vital signs, and ask screening questions, including dates of patients’ last hemoglobin A1c tests and diabetic eye examination. After intake, the provider (endocrinologist or APP) sees the patient. Once the appointment concludes, patients proceed to the in-house phlebotomy laboratory as indicated and check out with administrative staff to schedule future appointments.
Project Design
From August 2021 through June 2022, teams of medical students at the tertiary center completed this project as part of a 4-week integrated science course on diabetes. Longitudinal supervision by an endocrinology faculty member ensured project continuity. The project employed the Standards for QUality Improvement Reporting Excellence (SQUIRE 2.0) method for reporting.8
Stakeholder analysis took place in August 2021. Surveyed clinic providers identified patients with T1DM as the most appropriate population and the outpatient setting as the most appropriate site for intervention. A fishbone diagram illustrated stakeholders to interview, impacts of the clinical flow, information technology to leverage, and potential holes contributing to glucagon prescription conversations falling through.
Interviews with T1DM patients, clinical pharmacists, APPs, MAs/LPNs, and endocrinologists identified barriers to glucagon prescription. The interviews and a process map analysis revealed several themes. While patients and providers understood the importance of glucagon prescription, barriers included glucagon cost, prescription fill burden, and, most pervasively, providers forgetting to ask patients whether they have a glucagon prescription and failing to consider glucagon prescriptions.For this study, each team of medical students worked on the project for 1 month. The revolving teams of medical students met approximately once per week for the duration of the project to review data and implementation phases. At the end of each month, the current team recorded the steps they had taken and information they had analyzed in a shared document, prepared short videos summarizing the work completed, and proposed next steps for the incoming team to support knowledge generation and continuity. Students from outgoing teams were available to contact if incoming teams had any questions.
Interventions
In the first implementation phase, which was carried out over 4 months (December 2021 to March 2022), the patient care manager trained MAs/LPNs to write a glucagon reminder on patients’ face sheets. At check-in, MAs/LPNs screened for a current glucagon prescription. If the patient lacked an up-to-date prescription, the MAs/LPNs hand-wrote a reminder on the patient’s face sheet, which was given to the provider immediately prior to seeing the patient. The clinical staff received an email explaining the intervention beforehand; the daily intake staff email included project reminders.
In the second implementation phase, which started in April 2022, had been carried out for 3 months at the time of this report, and is ongoing, clinical pharmacists have been pending glucagon prescriptions ahead of patients’ appointments. Each week, the pharmacists generate an EHR report that includes all patients with T1DM who have attended at least 1 appointment at the clinic within the past year (regardless of whether each patient possessed an active and up-to-date glucagon prescription) and the date of each patient’s next appointment. For patients who have an appointment in the upcoming week and lack an active glucagon prescription, the pharmacists run a benefits investigation to determine the insurance-preferred glucagon formulation and then pend the appropriate order in the EHR. During the patient’s next appointment, the EHR prompts the provider to review and sign the pharmacist’s pended order (Figure 1).
Measures
This project used a process measure in its analysis: the percentage of patients with T1DM with an active glucagon prescription at the time of their visit to the clinic. The patient population included all patients with a visit diagnosis of T1DM seen by an APP at the clinic during the time scope of the project. The project’s scope was limited to patients seen by APPs to help standardize appointment comparisons, with the intent to expand to the endocrinologist staff if the interventions proved successful with APPs. Patients seen by APPs were also under the care of endocrinologists and seen by them during this time period. The project excluded no patients.
Each individual patient appointment represented a data point: a time at which an APP could prescribe glucagon for a patient with T1DM. Thus, a single patient who had multiple appointments during the study period would generate multiple data points in this study.
Specific Aims and Analysis
For all T1DM patients at the clinic seen by an APP during the study period, the project aimed to increase the percentage with an active and up-to-date glucagon prescription from 58.8% to 70% over a 6-month period, a relatively modest goal appropriate for the time constraints and that would be similar to the changes seen in previous work in the same clinic.9
This project analyzed de-identified data using a statistical process control chart (specifically, a p-chart) and standard rules for assessing special-cause signals and thus statistical significance.
Results
Baseline data were collected from October 2020 to September 2021. During this time, APPs saw 1959 T1DM patients, of whom 1152 (58.8%) had an active glucagon prescription at the time of visit and 41.2% lacked a glucagon prescription (Figure 2). During the 4 months of implementation phase 1, analysis of the statistical process control chart identified no special cause signal. Therefore, the project moved to a second intervention with implementation phase 2 in April 2022 (3 months of postintervention data are reported). During the entire intervention, 731 of 1080 (67.7%) patients had a glucagon prescription. The average for the last 2 months, with phase 2 fully implemented, was 72.3%, surpassing the 70% threshold identified as the study target (Figure 3).
Interviews with clinical pharmacists during implementation phase 2 revealed that generating the EHR report and reviewing patients with glucagon prescription indications resulted in variable daily workload increases ranging from approximately 15 to 45 minutes, depending on the number of patients requiring intervention that day. During the first month of implementation phase 2, the EHR report required repeated modification to fulfill the intervention needs. Staffing changes over the intervention period potentially impacted the pattern of glucagon prescribing. This project excluded the 2 months immediately prior to implementation phase 1, from October 2021 to November 2021, because the staff had begun having discussions about this initiative, which may have influenced glucagon prescription rates.
Discussion
This project evaluated 2 interventions over the course of 7 months to determine their efficacy in increasing the frequency of glucagon prescribing for individuals with T1DM in an endocrinology clinic. These interventions were associated with increased prescribing from a baseline of 58.8% to 72.3% over the last 2 months of the project. In the first intervention, performed over 4 months, MAs/LPNs wrote reminders on the appropriate patients’ face sheets, which were given to providers prior to appointments. This project adapted the approach from a successful previous quality improvement study on increasing microalbuminuria screening rates.9 However, glucagon prescription rates did not increase significantly, likely because, unlike with microalbuminuria screenings, MAs/LPNs could not pend glucagon prescriptions.
In the second intervention, performed over 3 months, clinical pharmacists pended glucagon prescriptions for identified eligible patients. Glucagon prescribing rates increased considerably, with rates of 72.3% and 72.4% over May and June 2021, respectively, indicating that the intervention successfully established a new higher steady state of proportion of patient visits with active glucagon prescriptions compared with the baseline rate of 58.8%. Given that the baseline data for this clinic were higher than the baseline glucagon prescription rates reported in other studies (49.3%),10 this intervention could have a major impact in clinics with a baseline more comparable to conditions in that study.
This project demonstrated how a combination of an EHR-generated report and interdisciplinary involvement provides an actionable process to increase glucagon prescription rates for patients with T1DM. Compared to prior studies that implemented passive interventions, such as a note template that relies on provider adherence,7 this project emphasizes the benefit of implementing an active systems-level intervention with a pre-pended order.
Regarding prior studies, 1 large, 2-arm study of clinical pharmacists proactively pending orders for appropriate patients showed a 56% glucagon prescription rate in the intervention group, compared with 0.9% in the control group with no pharmacist intervention.11 Our project had a much higher baseline rate: 58.8% prior to intervention vs 0.9% in the nonintervention group for the previous study—likely due to its chosen location’s status as an endocrinology clinic rather than a general health care setting.
A different study that focused on patient education rather than glucagon prescription rates used similar EHR-generated reports to identify appropriate patients and assessed glucagon prescription needs during check-in. Following the educational interventions in that study, patients reporting self-comfort and education with glucagon administration significantly increased from 66.2% to 83.2%, and household member comfort and education with glucagon administration increased from 50.8% to 79.7%. This suggests the possibility of expanding the use of the EHR-generated report to assist not only with increasing glucagon prescription rates, but also with patient education on glucagon use rates and possibly fill rates.7 While novel glucagon products may change uptake rates, no new glucagon products arose or were prescribed at this clinic during the course of data collection.
Of note, our project increased the workload on clinical pharmacists. The pharmacists agreed to participate, despite the increased work, after a collaborative discussion about how to best address the need to increase glucagon prescriptions or patient safety; the pharmacy department had initially agreed to collaborate specifically to identify and attend to unmet needs such as this one. Although this project greatly benefited from the expertise and enthusiasm of the clinical pharmacists involved, this tradeoff requires further study to determine sustainability.
Limitations
This project had several limitations. Because of the structure in which this intervention occurred (a year-long course with rotating groups of medical students), there was a necessary component of time constraint, and this project had just 2 implementation phases, for a total of 7 months of postintervention data. The clinic has permanently implemented these changes into its workflow, but subsequent assessments are needed to monitor the effects and assess sustainability.
The specific clinical site chosen for this study benefited from dedicated onsite clinical pharmacists, who are not available at all comparable clinical sites. Due to feasibility, this project only assessed whether the providers prescribed the glucagon, not whether the patients filled the prescriptions and used the glucagon when necessary. Although prescribing rates increased in our study, it cannot be assumed that fill rates increased identically.
Finally, interventions relying on EHR-generated reports carry inherent limitations, such as the risk of misidentification or omission of patients who had indications for a glucagon prescription. The project attempted to mitigate this limitation through random sampling of the EHR report to ensure accuracy. Additionally, EHR-generated reports encourage sustainability and expansion to all clinic patients, with far less required overhead work compared to manually derived data.
Future investigations may focus on expanding this intervention to all patients at risk for hypoglycemia, as well as to study further interventions into prescription fill rates and glucagon use rates.
Conclusion
This project indicates that a proactive, interdisciplinary quality improvement project can increase glucagon prescription rates for patients with T1DM in the outpatient setting. The most effective intervention mobilized clinical pharmacists to identify patients with indications for a glucagon prescription using an integrated EHR-generated report and subsequently pend a glucagon order for the endocrinology provider to sign during the visit. The strengths of the approach included using a multidisciplinary team, minimizing costs to patients by leveraging the pharmacists’ expertise to ensure insurance coverage of specific formulations, and utilizing automatic EHR reporting to streamline patient identification. Ideally, improvements in glucagon prescription rates should ultimately decrease hospitalizations and improve treatment of severe hypoglycemia for at-risk patients.
Corresponding author: Chase D. Hendrickson, MD, MPH; [email protected]
Disclosures: None reported.
1. Weinstock RS, Aleppo G, Bailey TS, et al. The Role of Blood Glucose Monitoring in Diabetes Management. American Diabetes Association; 2020.
2. Lamounier RN, Geloneze B, Leite SO, et al. Hypoglycemia incidence and awareness among insulin-treated patients with diabetes: the HAT study in Brazil. Diabetol Metab Syndr. 2018;10:83. doi:10.1186/s13098-018-0379-5
3. Li P, Geng Z, Ladage VP, et al. Early hypoglycaemia and adherence after basal insulin initiation in a nationally representative sample of Medicare beneficiaries with type 2 diabetes. Diabetes Obes Metab. 2019;21(11):2486-2495. doi:10.1111/dom.13832
4. Haymond MW, Liu J, Bispham J, et al. Use of glucagon in patients with type 1 diabetes. Clin Diabetes. 2019;37(2):162-166. doi:10.2337/cd18-0028
5. American Diabetes Association Professional Practice Committee. 6. Glycemic targets: standards of medical care in diabetes-2022. Diabetes Care. 2022; 45(Suppl 1):S83-S96. doi:10.2337/dc22-S006
6. O’Reilly EA, Cross LV, Hayes JS, et al. Impact of pharmacist intervention on glucagon prescribing patterns in an outpatient internal medicine teaching clinic. J Am Pharm Assoc (2003). 2020;60(2):384-390. doi:10.1016/j.japh.2019.04.0097.
7. Cobb EC, Watson NA, Wardian J, et al. Diabetes Center of Excellence Hypoglycemia Emergency Preparedness Project. Clin Diabetes. 2018;36(2):184-186. doi:10.2337/cd17-0040
8. Ogrinc G, Davies L, Goodman D, et al. SQUIRE 2.0 (Standards for QUality Improvement Reporting Excellence): revised publication guidelines from a detailed consensus process. BMJ Qual Saf. 2016;25(12):986-992. doi:10.1136/bmjqs-2015-004411
9. Kam S, Angaramo S, Antoun J, et al. Improving annual albuminuria testing for individuals with diabetes. BMJ Open Qual. 2022;11(1):e001591. doi:10.1136/bmjoq-2021-001591
10. Mitchell BD, He X, Sturdy IM, et al. Glucagon prescription patterns in patients with either type 1 or 2 diabetes with newly prescribed insulin. Endocr Pract. 2016;22(2):123-135. doi:10.4158/EP15831.OR
11. Whitfield N, Gregory P, Liu B, et al. Impact of pharmacist outreach on glucagon prescribing. J Am Pharm Assoc. 2022;62(4):1384-1388.e.1. doi:10.1016/j.japh.2022.01.017
1. Weinstock RS, Aleppo G, Bailey TS, et al. The Role of Blood Glucose Monitoring in Diabetes Management. American Diabetes Association; 2020.
2. Lamounier RN, Geloneze B, Leite SO, et al. Hypoglycemia incidence and awareness among insulin-treated patients with diabetes: the HAT study in Brazil. Diabetol Metab Syndr. 2018;10:83. doi:10.1186/s13098-018-0379-5
3. Li P, Geng Z, Ladage VP, et al. Early hypoglycaemia and adherence after basal insulin initiation in a nationally representative sample of Medicare beneficiaries with type 2 diabetes. Diabetes Obes Metab. 2019;21(11):2486-2495. doi:10.1111/dom.13832
4. Haymond MW, Liu J, Bispham J, et al. Use of glucagon in patients with type 1 diabetes. Clin Diabetes. 2019;37(2):162-166. doi:10.2337/cd18-0028
5. American Diabetes Association Professional Practice Committee. 6. Glycemic targets: standards of medical care in diabetes-2022. Diabetes Care. 2022; 45(Suppl 1):S83-S96. doi:10.2337/dc22-S006
6. O’Reilly EA, Cross LV, Hayes JS, et al. Impact of pharmacist intervention on glucagon prescribing patterns in an outpatient internal medicine teaching clinic. J Am Pharm Assoc (2003). 2020;60(2):384-390. doi:10.1016/j.japh.2019.04.0097.
7. Cobb EC, Watson NA, Wardian J, et al. Diabetes Center of Excellence Hypoglycemia Emergency Preparedness Project. Clin Diabetes. 2018;36(2):184-186. doi:10.2337/cd17-0040
8. Ogrinc G, Davies L, Goodman D, et al. SQUIRE 2.0 (Standards for QUality Improvement Reporting Excellence): revised publication guidelines from a detailed consensus process. BMJ Qual Saf. 2016;25(12):986-992. doi:10.1136/bmjqs-2015-004411
9. Kam S, Angaramo S, Antoun J, et al. Improving annual albuminuria testing for individuals with diabetes. BMJ Open Qual. 2022;11(1):e001591. doi:10.1136/bmjoq-2021-001591
10. Mitchell BD, He X, Sturdy IM, et al. Glucagon prescription patterns in patients with either type 1 or 2 diabetes with newly prescribed insulin. Endocr Pract. 2016;22(2):123-135. doi:10.4158/EP15831.OR
11. Whitfield N, Gregory P, Liu B, et al. Impact of pharmacist outreach on glucagon prescribing. J Am Pharm Assoc. 2022;62(4):1384-1388.e.1. doi:10.1016/j.japh.2022.01.017