Data emerging to support personalized nutrition in oncology

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– When Dawn Lemanne, MD, MPH, meets with cancer patients and their families, the question invariably comes up: “What should I eat?”

Dr. Dawn Lemanne

“The answer always is, ‘It depends,’” Dr. Lemanne, an oncologist who founded Oregon Integrative Oncology in Ashland, said at Natural Supplements: An Evidence-Based Update, presented by Scripps Center for Integrative Medicine. “The answers are not the same for each of these patients.”

According to Dr. Lemanne, targeted nutrition is evolving as a key component of cancer care. One of the goals of this approach is to decrease mTOR signaling. Normally, mTOR signaling promotes cell proliferation and metabolism; aberrant mTOR signaling can contribute to cancer initiation and progression.

“When mTOR speaks it says, ‘grow,’” said Dr. Lemanne, who is also an assistant professor of clinical medicine at the Andrew Weil Center for Integrative Medicine at the University of Arizona in Tucson. This message is meant to be heard by normal tissues, to stimulate normal tissue proliferation, such as in growing children or when a wound needs to be healed.

“However, cancer cells can hear and respond to mTOR’s message,” she said. “Normal cells may listen to mTOR’s ‘grow’ message or not, depending on the task they perform. Once we reach adulthood, we all likely have some precancerous or cancerous cells around, but they’re usually dormant. That’s why once you’re an adult, however, you don’t want too much mTOR signaling, because that might stimulate growth of things you definitely don’t want to grow.”

Having excessive levels of the growth hormone insulin-like growth factor-1 (IGF-1) also appears to play a role in cancer risk. Researchers studying members of a South American clan with Laron dwarfism – an inherited IGF-1 deficiency – found that besides being very short, affected members of this family rarely develop cancer (Cells. 2019;8[6]:596). “They also don’t get diabetes,” Dr. Lemanne said. “What we see in those with Laron dwarfism is that mTOR signaling is missing.”

She went on to note that studying type 2 diabetes gives physicians “a clue as to what dietary measures we might offer our patients in terms of decreasing their risk of dying from cancer or getting cancer.” The most common types of cancer are indeed more common in patients with type 2 diabetes. In addition, once someone with type 2 diabetes is diagnosed with cancer, their prognosis is poorer, compared with a cancer patient without diabetes.

“Metformin is often prescribed to patients with type 2 diabetes because it helps keep blood sugar low,” she said. “What’s fascinating is that diabetics on metformin develop cancer less frequently than diabetics not taking this drug. And also interesting, those diabetics who do develop cancer seem to do better if they’re on metformin before and after diagnosis.”

On the other hand, exogenous insulin therapy given to people with type 2 diabetes doubles the risk of cancer. Consistent with this is the two-decades-old finding that an elevated fasting insulin level also is associated with a poor breast cancer prognosis (J Clin Oncol. 2002 Jan 1;20[1]:42-51). “It’s really important to understand that, in a person destined to become a type 2 diabetic, the level of fasting insulin rises long before fasting glucose becomes abnormally high,” Dr. Lemanne explained. “A normal fasting glucose doesn’t let you off the hook in terms of checking your patient for insulin resistance.

“We will miss diagnosing many patients with dangerous insulin resistance and prediabetes if we don’t check the fasting glucose and the fasting insulin levels together. If the fasting insulin level is high, it’s important to limit carbohydrate intake enough to bring it down permanently, even when the fasting glucose is normal, or the patient is likely at increased risk for developing cancer.”

Two large, prospective randomized trials have examined breast cancer and diet: the Women’s Intervention Study (WINS) and the Women’s Health Eating and Living Study (WHEL). Patients in both trials had early stage breast cancer and were put on low-fat diets. In the end, there was a weak to negligible connection between breast cancer survival and dietary fat restriction. “That kind of shook up the oncology world,” Dr. Lemanne said, “because before these two studies, everyone ‘knew’ that dietary fat was related to breast cancer risk. These studies showed that wasn’t the case at all.”



According to Dr. Lemanne, unexpectedly, moderate carbohydrate restriction has been associated with lower risk of breast cancer recurrence in patients with postmenopausal hormone-receptor expressing breast cancer. Researchers at the University of California, San Diego, conducted a subanalysis of 265 postmenopausal patients with estrogen receptor positive breast cancer from the WHEL cohort (Cancer Epidemiol Biomarkers Prev. 2014 23[7]:1273-9). The recurrence risk was halved in those who cut their carbohydrate intake after diagnosis. The amount of decrease was modest, only 27 grams per day – the equivalent of one banana. “That is on par with a lot of our drugs, and maybe a little bit better,” she said. The effect was strongest if the breast tumor expressed IGF-1 receptor. Dr. Lemanne pointed out that decreasing dietary carbohydrate load was not the only treatment. These patients also had appropriate conventional cancer treatments, including surgery, radiation, and chemotherapy. “If we cut just some of the daily carb load in these patients, they might have a better cancer prognosis,” she said.

Overweight or obese patients with colon cancer also may benefit from moderate carbohydrate restriction. The CALGB 89803 study assessed 1,011 subjects with stage III colon cancer. It found that the subjects in the highest quintile of daily glycemic load and total carbohydrate intake had an increased risk of cancer recurrence and mortality (hazard ratio, 2.26; J Nat Cancer Inst. 2012;104[22]:1702-11). “This is pretty strong evidence that glycemic load and total carbohydrate intake play a role in colon cancer recurrence, but there’s a caveat here,” she said. “The effect was seen only in patients who were overweight or obese.” There was no association between carbohydrate intake and colon cancer recurrence in the absence of overweight or obesity.

Based on existing evidence, she said, clinicians could recommend restricting carb intake to 100 grams per day for patients with postmenopausal hormone-receptor expressing breast cancer and for overweight or obese patients with colon cancer.

“That’s pretty modest; that’s 400 calories of carbohydrates per day,” Dr. Lemanne said. “I tell patients that they can have fruit, starchy vegetables, and even very small amounts of healthy whole grains, although I’m not a fan of grains due to the heavy carbohydrate load. All those things are OK. We’re not talking about jelly beans and white sugar.

“I also have them measure their fasting glucose each day, because different people have different blood glucose responses to the same food.” The goals she aims for with many of her patients are a fasting morning glucose between 79 and 83 mg/dL consistently, an HbA1c of 5.4 or less, and a BMI of 24.9 kg/m2 or less. “This set of goals, however, has to be individualized,” she said.

The ketogenic diet is another form of carb restriction, “but it’s much more drastic,” Dr. Lemanne said. “Most people require a carbohydrate load below 30 grams a day to enter a state of ketosis. But ketosis lowers the blood sugar and dampens the mTOR signaling.”

Evidence is emerging to support the use of a ketogenic diet as an adjunct to radiation therapy and as part of a complete course of treatment for glioblastoma multiforme and cancer cachexia. As an adjunct to radiation, a ketogenic diet decreases insulin and IGF-1 signaling. “This causes normal cells to enter dormancy, decreasing oxidative damage in normal cells,” Dr. Lemanne said. “There is also suppression of tumor angiogenesis, and thus poor DNA repair of radiation damage in tumor cells (Cancer Metastasis Rev. 2014;33[1]:217-29). Being in ketosis widens the therapeutic window. There are many animal studies which show that the ketogenic diet is helpful in cancer, mainly when combined with other anticancer treatments, such as radiation. Unfortunately, the evidence in humans is very anecdotal.”

One study found that if you feed mice with cancer ketogenic chow versus standard chow, they have a modestly improved survival (a mean of 43 days vs. 33 days; PLoS ONE. 2012;7[5]:e36197). However, when radiation was added to the keto diet, there was a dramatic improvement in survival (P less than 0.001). In fact, 75% survived to 250 days. “That’s pretty spectacular,” Dr. Lemanne said.

A ketogenic diet is standard therapy for several nonmalignant conditions, including glucose transporter 1 deficiency syndrome, pyruvate dehydrogenase deficiency syndrome, and refractory infantile epilepsy. The three major ketone bodies involved in human nutrition are acetoacetate, beta hydroxybutyrate, and acetone. Dr. Lemanne said beta hydroxybutyrate decreases inflammation and inhibits hexadecynoic acids (which induces apoptosis in cancer cells). Beta hydroxybutyrate also increases sirtuins, innate immunity, and seizure threshold; modulates circadian rhythm; and decreases insulin levels, she said.

In one case report from the scientific literature, a 38-year-old male with glioblastoma multiforme was placed on a hypocaloric ketogenic diet (Front Nutr. 2018 Mar 29;5:20). The patient had surgery, radiation, chemotherapy, and hyperbaric oxygen, and was given high doses of green tea extract in an attempt to antagonize glutamine metabolism. Two years after the beginning of his treatment, he was alive and had maintained a good level of tumor regression.

“We’ll see how he does,” said Dr. Lemanne, who was not involved in the report. “In my experience, I have a patient right now with a diagnosis of glioblastoma multiforme. She’s getting a keto diet in combo with intensive chemo, radiation, and surgery. She’s also had some hyperbaric oxygen and IV ozone therapy and is taking repurposed drugs. She has exceeded her expected survival, but she continues to have disease and symptoms. We are by no means out of the woods with this patient. But the keto diet has been quite feasible for her, because she has a lot of family and outside support.”

A ketogenic diet also may benefit patients with cancer cachexia, which is a loss of lean tissue. “Cancer cachexia is not completely understood,” Dr. Lemanne said. “What we know is that it is caused by inflammation created by the tumor itself, and this, in turn results in severe insulin resistance. Therefore, giving more calories as carbohydrate makes the cancer cachexia situation worse. Animal models of cancer cachexia have shown that the ketogenic diet normalizes metabolism and prevents lean tissue loss. Human studies are underway; we’ll see how they turn out.”

She closed her presentation by noting that in copious amounts of animal studies, fasting has been linked to improvements in chemotherapy efficacy and decreased side effects. In one study carried out at the University of Southern California in Los Angeles, volunteers fasted up to 140 hours before chemotherapy and an additional 156 hours afterward (Aging. 2009;1[12]:988-1007). The researchers found that the fasting was well-tolerated.

“The patients had some mild light-headedness, but there were no adverse effects on tumor volume or serum tumor markers,” Dr. Lemanne said. A more recent study of patients on cisplatin found that acaloric fasting led to decreased DNA damage in white blood cells, decreased IFG-1, and better white blood cell counts (BMC Cancer. 2016 Jun 10;16:360). “The benefits are immediate, and the optimal fasting time appears to be 48 hours,” Dr. Lemanne said.

One of her patients is a 64-year-old man on adjuvant cisplatin-based chemotherapy for cholangiocarcinoma. He fasts 24 hours before and 24 hours after each infusion, and has experienced no emesis or nausea. “His immune suppression and anemia are much milder than we expected, and he has not required any treatment for chemotherapy-related side effects,” Dr. Lemanne said. “That’s a big monetary value.”

Fasting 13 hours overnight has been associated with fewer breast cancer-related problems in patients already diagnosed with the disease. Chronic caloric restriction, just cutting calories by 25%-40% daily, has been shown to delay all diseases of aging, including cancer, and is associated with increased longevity in many species. “Chronic caloric restriction is difficult, however, because it results in chronic hunger and weight loss,” she said. “Occasional fasting is superior to chronic caloric restriction because it maintains normal weight, preserves lean muscle mass, enhances tumor sensitivity to chemotherapy and radiotherapy, and diminishes the side effects of chemotherapy.”

Dr. Lemanne reported having no financial disclosures.

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– When Dawn Lemanne, MD, MPH, meets with cancer patients and their families, the question invariably comes up: “What should I eat?”

Dr. Dawn Lemanne

“The answer always is, ‘It depends,’” Dr. Lemanne, an oncologist who founded Oregon Integrative Oncology in Ashland, said at Natural Supplements: An Evidence-Based Update, presented by Scripps Center for Integrative Medicine. “The answers are not the same for each of these patients.”

According to Dr. Lemanne, targeted nutrition is evolving as a key component of cancer care. One of the goals of this approach is to decrease mTOR signaling. Normally, mTOR signaling promotes cell proliferation and metabolism; aberrant mTOR signaling can contribute to cancer initiation and progression.

“When mTOR speaks it says, ‘grow,’” said Dr. Lemanne, who is also an assistant professor of clinical medicine at the Andrew Weil Center for Integrative Medicine at the University of Arizona in Tucson. This message is meant to be heard by normal tissues, to stimulate normal tissue proliferation, such as in growing children or when a wound needs to be healed.

“However, cancer cells can hear and respond to mTOR’s message,” she said. “Normal cells may listen to mTOR’s ‘grow’ message or not, depending on the task they perform. Once we reach adulthood, we all likely have some precancerous or cancerous cells around, but they’re usually dormant. That’s why once you’re an adult, however, you don’t want too much mTOR signaling, because that might stimulate growth of things you definitely don’t want to grow.”

Having excessive levels of the growth hormone insulin-like growth factor-1 (IGF-1) also appears to play a role in cancer risk. Researchers studying members of a South American clan with Laron dwarfism – an inherited IGF-1 deficiency – found that besides being very short, affected members of this family rarely develop cancer (Cells. 2019;8[6]:596). “They also don’t get diabetes,” Dr. Lemanne said. “What we see in those with Laron dwarfism is that mTOR signaling is missing.”

She went on to note that studying type 2 diabetes gives physicians “a clue as to what dietary measures we might offer our patients in terms of decreasing their risk of dying from cancer or getting cancer.” The most common types of cancer are indeed more common in patients with type 2 diabetes. In addition, once someone with type 2 diabetes is diagnosed with cancer, their prognosis is poorer, compared with a cancer patient without diabetes.

“Metformin is often prescribed to patients with type 2 diabetes because it helps keep blood sugar low,” she said. “What’s fascinating is that diabetics on metformin develop cancer less frequently than diabetics not taking this drug. And also interesting, those diabetics who do develop cancer seem to do better if they’re on metformin before and after diagnosis.”

On the other hand, exogenous insulin therapy given to people with type 2 diabetes doubles the risk of cancer. Consistent with this is the two-decades-old finding that an elevated fasting insulin level also is associated with a poor breast cancer prognosis (J Clin Oncol. 2002 Jan 1;20[1]:42-51). “It’s really important to understand that, in a person destined to become a type 2 diabetic, the level of fasting insulin rises long before fasting glucose becomes abnormally high,” Dr. Lemanne explained. “A normal fasting glucose doesn’t let you off the hook in terms of checking your patient for insulin resistance.

“We will miss diagnosing many patients with dangerous insulin resistance and prediabetes if we don’t check the fasting glucose and the fasting insulin levels together. If the fasting insulin level is high, it’s important to limit carbohydrate intake enough to bring it down permanently, even when the fasting glucose is normal, or the patient is likely at increased risk for developing cancer.”

Two large, prospective randomized trials have examined breast cancer and diet: the Women’s Intervention Study (WINS) and the Women’s Health Eating and Living Study (WHEL). Patients in both trials had early stage breast cancer and were put on low-fat diets. In the end, there was a weak to negligible connection between breast cancer survival and dietary fat restriction. “That kind of shook up the oncology world,” Dr. Lemanne said, “because before these two studies, everyone ‘knew’ that dietary fat was related to breast cancer risk. These studies showed that wasn’t the case at all.”



According to Dr. Lemanne, unexpectedly, moderate carbohydrate restriction has been associated with lower risk of breast cancer recurrence in patients with postmenopausal hormone-receptor expressing breast cancer. Researchers at the University of California, San Diego, conducted a subanalysis of 265 postmenopausal patients with estrogen receptor positive breast cancer from the WHEL cohort (Cancer Epidemiol Biomarkers Prev. 2014 23[7]:1273-9). The recurrence risk was halved in those who cut their carbohydrate intake after diagnosis. The amount of decrease was modest, only 27 grams per day – the equivalent of one banana. “That is on par with a lot of our drugs, and maybe a little bit better,” she said. The effect was strongest if the breast tumor expressed IGF-1 receptor. Dr. Lemanne pointed out that decreasing dietary carbohydrate load was not the only treatment. These patients also had appropriate conventional cancer treatments, including surgery, radiation, and chemotherapy. “If we cut just some of the daily carb load in these patients, they might have a better cancer prognosis,” she said.

Overweight or obese patients with colon cancer also may benefit from moderate carbohydrate restriction. The CALGB 89803 study assessed 1,011 subjects with stage III colon cancer. It found that the subjects in the highest quintile of daily glycemic load and total carbohydrate intake had an increased risk of cancer recurrence and mortality (hazard ratio, 2.26; J Nat Cancer Inst. 2012;104[22]:1702-11). “This is pretty strong evidence that glycemic load and total carbohydrate intake play a role in colon cancer recurrence, but there’s a caveat here,” she said. “The effect was seen only in patients who were overweight or obese.” There was no association between carbohydrate intake and colon cancer recurrence in the absence of overweight or obesity.

Based on existing evidence, she said, clinicians could recommend restricting carb intake to 100 grams per day for patients with postmenopausal hormone-receptor expressing breast cancer and for overweight or obese patients with colon cancer.

“That’s pretty modest; that’s 400 calories of carbohydrates per day,” Dr. Lemanne said. “I tell patients that they can have fruit, starchy vegetables, and even very small amounts of healthy whole grains, although I’m not a fan of grains due to the heavy carbohydrate load. All those things are OK. We’re not talking about jelly beans and white sugar.

“I also have them measure their fasting glucose each day, because different people have different blood glucose responses to the same food.” The goals she aims for with many of her patients are a fasting morning glucose between 79 and 83 mg/dL consistently, an HbA1c of 5.4 or less, and a BMI of 24.9 kg/m2 or less. “This set of goals, however, has to be individualized,” she said.

The ketogenic diet is another form of carb restriction, “but it’s much more drastic,” Dr. Lemanne said. “Most people require a carbohydrate load below 30 grams a day to enter a state of ketosis. But ketosis lowers the blood sugar and dampens the mTOR signaling.”

Evidence is emerging to support the use of a ketogenic diet as an adjunct to radiation therapy and as part of a complete course of treatment for glioblastoma multiforme and cancer cachexia. As an adjunct to radiation, a ketogenic diet decreases insulin and IGF-1 signaling. “This causes normal cells to enter dormancy, decreasing oxidative damage in normal cells,” Dr. Lemanne said. “There is also suppression of tumor angiogenesis, and thus poor DNA repair of radiation damage in tumor cells (Cancer Metastasis Rev. 2014;33[1]:217-29). Being in ketosis widens the therapeutic window. There are many animal studies which show that the ketogenic diet is helpful in cancer, mainly when combined with other anticancer treatments, such as radiation. Unfortunately, the evidence in humans is very anecdotal.”

One study found that if you feed mice with cancer ketogenic chow versus standard chow, they have a modestly improved survival (a mean of 43 days vs. 33 days; PLoS ONE. 2012;7[5]:e36197). However, when radiation was added to the keto diet, there was a dramatic improvement in survival (P less than 0.001). In fact, 75% survived to 250 days. “That’s pretty spectacular,” Dr. Lemanne said.

A ketogenic diet is standard therapy for several nonmalignant conditions, including glucose transporter 1 deficiency syndrome, pyruvate dehydrogenase deficiency syndrome, and refractory infantile epilepsy. The three major ketone bodies involved in human nutrition are acetoacetate, beta hydroxybutyrate, and acetone. Dr. Lemanne said beta hydroxybutyrate decreases inflammation and inhibits hexadecynoic acids (which induces apoptosis in cancer cells). Beta hydroxybutyrate also increases sirtuins, innate immunity, and seizure threshold; modulates circadian rhythm; and decreases insulin levels, she said.

In one case report from the scientific literature, a 38-year-old male with glioblastoma multiforme was placed on a hypocaloric ketogenic diet (Front Nutr. 2018 Mar 29;5:20). The patient had surgery, radiation, chemotherapy, and hyperbaric oxygen, and was given high doses of green tea extract in an attempt to antagonize glutamine metabolism. Two years after the beginning of his treatment, he was alive and had maintained a good level of tumor regression.

“We’ll see how he does,” said Dr. Lemanne, who was not involved in the report. “In my experience, I have a patient right now with a diagnosis of glioblastoma multiforme. She’s getting a keto diet in combo with intensive chemo, radiation, and surgery. She’s also had some hyperbaric oxygen and IV ozone therapy and is taking repurposed drugs. She has exceeded her expected survival, but she continues to have disease and symptoms. We are by no means out of the woods with this patient. But the keto diet has been quite feasible for her, because she has a lot of family and outside support.”

A ketogenic diet also may benefit patients with cancer cachexia, which is a loss of lean tissue. “Cancer cachexia is not completely understood,” Dr. Lemanne said. “What we know is that it is caused by inflammation created by the tumor itself, and this, in turn results in severe insulin resistance. Therefore, giving more calories as carbohydrate makes the cancer cachexia situation worse. Animal models of cancer cachexia have shown that the ketogenic diet normalizes metabolism and prevents lean tissue loss. Human studies are underway; we’ll see how they turn out.”

She closed her presentation by noting that in copious amounts of animal studies, fasting has been linked to improvements in chemotherapy efficacy and decreased side effects. In one study carried out at the University of Southern California in Los Angeles, volunteers fasted up to 140 hours before chemotherapy and an additional 156 hours afterward (Aging. 2009;1[12]:988-1007). The researchers found that the fasting was well-tolerated.

“The patients had some mild light-headedness, but there were no adverse effects on tumor volume or serum tumor markers,” Dr. Lemanne said. A more recent study of patients on cisplatin found that acaloric fasting led to decreased DNA damage in white blood cells, decreased IFG-1, and better white blood cell counts (BMC Cancer. 2016 Jun 10;16:360). “The benefits are immediate, and the optimal fasting time appears to be 48 hours,” Dr. Lemanne said.

One of her patients is a 64-year-old man on adjuvant cisplatin-based chemotherapy for cholangiocarcinoma. He fasts 24 hours before and 24 hours after each infusion, and has experienced no emesis or nausea. “His immune suppression and anemia are much milder than we expected, and he has not required any treatment for chemotherapy-related side effects,” Dr. Lemanne said. “That’s a big monetary value.”

Fasting 13 hours overnight has been associated with fewer breast cancer-related problems in patients already diagnosed with the disease. Chronic caloric restriction, just cutting calories by 25%-40% daily, has been shown to delay all diseases of aging, including cancer, and is associated with increased longevity in many species. “Chronic caloric restriction is difficult, however, because it results in chronic hunger and weight loss,” she said. “Occasional fasting is superior to chronic caloric restriction because it maintains normal weight, preserves lean muscle mass, enhances tumor sensitivity to chemotherapy and radiotherapy, and diminishes the side effects of chemotherapy.”

Dr. Lemanne reported having no financial disclosures.

– When Dawn Lemanne, MD, MPH, meets with cancer patients and their families, the question invariably comes up: “What should I eat?”

Dr. Dawn Lemanne

“The answer always is, ‘It depends,’” Dr. Lemanne, an oncologist who founded Oregon Integrative Oncology in Ashland, said at Natural Supplements: An Evidence-Based Update, presented by Scripps Center for Integrative Medicine. “The answers are not the same for each of these patients.”

According to Dr. Lemanne, targeted nutrition is evolving as a key component of cancer care. One of the goals of this approach is to decrease mTOR signaling. Normally, mTOR signaling promotes cell proliferation and metabolism; aberrant mTOR signaling can contribute to cancer initiation and progression.

“When mTOR speaks it says, ‘grow,’” said Dr. Lemanne, who is also an assistant professor of clinical medicine at the Andrew Weil Center for Integrative Medicine at the University of Arizona in Tucson. This message is meant to be heard by normal tissues, to stimulate normal tissue proliferation, such as in growing children or when a wound needs to be healed.

“However, cancer cells can hear and respond to mTOR’s message,” she said. “Normal cells may listen to mTOR’s ‘grow’ message or not, depending on the task they perform. Once we reach adulthood, we all likely have some precancerous or cancerous cells around, but they’re usually dormant. That’s why once you’re an adult, however, you don’t want too much mTOR signaling, because that might stimulate growth of things you definitely don’t want to grow.”

Having excessive levels of the growth hormone insulin-like growth factor-1 (IGF-1) also appears to play a role in cancer risk. Researchers studying members of a South American clan with Laron dwarfism – an inherited IGF-1 deficiency – found that besides being very short, affected members of this family rarely develop cancer (Cells. 2019;8[6]:596). “They also don’t get diabetes,” Dr. Lemanne said. “What we see in those with Laron dwarfism is that mTOR signaling is missing.”

She went on to note that studying type 2 diabetes gives physicians “a clue as to what dietary measures we might offer our patients in terms of decreasing their risk of dying from cancer or getting cancer.” The most common types of cancer are indeed more common in patients with type 2 diabetes. In addition, once someone with type 2 diabetes is diagnosed with cancer, their prognosis is poorer, compared with a cancer patient without diabetes.

“Metformin is often prescribed to patients with type 2 diabetes because it helps keep blood sugar low,” she said. “What’s fascinating is that diabetics on metformin develop cancer less frequently than diabetics not taking this drug. And also interesting, those diabetics who do develop cancer seem to do better if they’re on metformin before and after diagnosis.”

On the other hand, exogenous insulin therapy given to people with type 2 diabetes doubles the risk of cancer. Consistent with this is the two-decades-old finding that an elevated fasting insulin level also is associated with a poor breast cancer prognosis (J Clin Oncol. 2002 Jan 1;20[1]:42-51). “It’s really important to understand that, in a person destined to become a type 2 diabetic, the level of fasting insulin rises long before fasting glucose becomes abnormally high,” Dr. Lemanne explained. “A normal fasting glucose doesn’t let you off the hook in terms of checking your patient for insulin resistance.

“We will miss diagnosing many patients with dangerous insulin resistance and prediabetes if we don’t check the fasting glucose and the fasting insulin levels together. If the fasting insulin level is high, it’s important to limit carbohydrate intake enough to bring it down permanently, even when the fasting glucose is normal, or the patient is likely at increased risk for developing cancer.”

Two large, prospective randomized trials have examined breast cancer and diet: the Women’s Intervention Study (WINS) and the Women’s Health Eating and Living Study (WHEL). Patients in both trials had early stage breast cancer and were put on low-fat diets. In the end, there was a weak to negligible connection between breast cancer survival and dietary fat restriction. “That kind of shook up the oncology world,” Dr. Lemanne said, “because before these two studies, everyone ‘knew’ that dietary fat was related to breast cancer risk. These studies showed that wasn’t the case at all.”



According to Dr. Lemanne, unexpectedly, moderate carbohydrate restriction has been associated with lower risk of breast cancer recurrence in patients with postmenopausal hormone-receptor expressing breast cancer. Researchers at the University of California, San Diego, conducted a subanalysis of 265 postmenopausal patients with estrogen receptor positive breast cancer from the WHEL cohort (Cancer Epidemiol Biomarkers Prev. 2014 23[7]:1273-9). The recurrence risk was halved in those who cut their carbohydrate intake after diagnosis. The amount of decrease was modest, only 27 grams per day – the equivalent of one banana. “That is on par with a lot of our drugs, and maybe a little bit better,” she said. The effect was strongest if the breast tumor expressed IGF-1 receptor. Dr. Lemanne pointed out that decreasing dietary carbohydrate load was not the only treatment. These patients also had appropriate conventional cancer treatments, including surgery, radiation, and chemotherapy. “If we cut just some of the daily carb load in these patients, they might have a better cancer prognosis,” she said.

Overweight or obese patients with colon cancer also may benefit from moderate carbohydrate restriction. The CALGB 89803 study assessed 1,011 subjects with stage III colon cancer. It found that the subjects in the highest quintile of daily glycemic load and total carbohydrate intake had an increased risk of cancer recurrence and mortality (hazard ratio, 2.26; J Nat Cancer Inst. 2012;104[22]:1702-11). “This is pretty strong evidence that glycemic load and total carbohydrate intake play a role in colon cancer recurrence, but there’s a caveat here,” she said. “The effect was seen only in patients who were overweight or obese.” There was no association between carbohydrate intake and colon cancer recurrence in the absence of overweight or obesity.

Based on existing evidence, she said, clinicians could recommend restricting carb intake to 100 grams per day for patients with postmenopausal hormone-receptor expressing breast cancer and for overweight or obese patients with colon cancer.

“That’s pretty modest; that’s 400 calories of carbohydrates per day,” Dr. Lemanne said. “I tell patients that they can have fruit, starchy vegetables, and even very small amounts of healthy whole grains, although I’m not a fan of grains due to the heavy carbohydrate load. All those things are OK. We’re not talking about jelly beans and white sugar.

“I also have them measure their fasting glucose each day, because different people have different blood glucose responses to the same food.” The goals she aims for with many of her patients are a fasting morning glucose between 79 and 83 mg/dL consistently, an HbA1c of 5.4 or less, and a BMI of 24.9 kg/m2 or less. “This set of goals, however, has to be individualized,” she said.

The ketogenic diet is another form of carb restriction, “but it’s much more drastic,” Dr. Lemanne said. “Most people require a carbohydrate load below 30 grams a day to enter a state of ketosis. But ketosis lowers the blood sugar and dampens the mTOR signaling.”

Evidence is emerging to support the use of a ketogenic diet as an adjunct to radiation therapy and as part of a complete course of treatment for glioblastoma multiforme and cancer cachexia. As an adjunct to radiation, a ketogenic diet decreases insulin and IGF-1 signaling. “This causes normal cells to enter dormancy, decreasing oxidative damage in normal cells,” Dr. Lemanne said. “There is also suppression of tumor angiogenesis, and thus poor DNA repair of radiation damage in tumor cells (Cancer Metastasis Rev. 2014;33[1]:217-29). Being in ketosis widens the therapeutic window. There are many animal studies which show that the ketogenic diet is helpful in cancer, mainly when combined with other anticancer treatments, such as radiation. Unfortunately, the evidence in humans is very anecdotal.”

One study found that if you feed mice with cancer ketogenic chow versus standard chow, they have a modestly improved survival (a mean of 43 days vs. 33 days; PLoS ONE. 2012;7[5]:e36197). However, when radiation was added to the keto diet, there was a dramatic improvement in survival (P less than 0.001). In fact, 75% survived to 250 days. “That’s pretty spectacular,” Dr. Lemanne said.

A ketogenic diet is standard therapy for several nonmalignant conditions, including glucose transporter 1 deficiency syndrome, pyruvate dehydrogenase deficiency syndrome, and refractory infantile epilepsy. The three major ketone bodies involved in human nutrition are acetoacetate, beta hydroxybutyrate, and acetone. Dr. Lemanne said beta hydroxybutyrate decreases inflammation and inhibits hexadecynoic acids (which induces apoptosis in cancer cells). Beta hydroxybutyrate also increases sirtuins, innate immunity, and seizure threshold; modulates circadian rhythm; and decreases insulin levels, she said.

In one case report from the scientific literature, a 38-year-old male with glioblastoma multiforme was placed on a hypocaloric ketogenic diet (Front Nutr. 2018 Mar 29;5:20). The patient had surgery, radiation, chemotherapy, and hyperbaric oxygen, and was given high doses of green tea extract in an attempt to antagonize glutamine metabolism. Two years after the beginning of his treatment, he was alive and had maintained a good level of tumor regression.

“We’ll see how he does,” said Dr. Lemanne, who was not involved in the report. “In my experience, I have a patient right now with a diagnosis of glioblastoma multiforme. She’s getting a keto diet in combo with intensive chemo, radiation, and surgery. She’s also had some hyperbaric oxygen and IV ozone therapy and is taking repurposed drugs. She has exceeded her expected survival, but she continues to have disease and symptoms. We are by no means out of the woods with this patient. But the keto diet has been quite feasible for her, because she has a lot of family and outside support.”

A ketogenic diet also may benefit patients with cancer cachexia, which is a loss of lean tissue. “Cancer cachexia is not completely understood,” Dr. Lemanne said. “What we know is that it is caused by inflammation created by the tumor itself, and this, in turn results in severe insulin resistance. Therefore, giving more calories as carbohydrate makes the cancer cachexia situation worse. Animal models of cancer cachexia have shown that the ketogenic diet normalizes metabolism and prevents lean tissue loss. Human studies are underway; we’ll see how they turn out.”

She closed her presentation by noting that in copious amounts of animal studies, fasting has been linked to improvements in chemotherapy efficacy and decreased side effects. In one study carried out at the University of Southern California in Los Angeles, volunteers fasted up to 140 hours before chemotherapy and an additional 156 hours afterward (Aging. 2009;1[12]:988-1007). The researchers found that the fasting was well-tolerated.

“The patients had some mild light-headedness, but there were no adverse effects on tumor volume or serum tumor markers,” Dr. Lemanne said. A more recent study of patients on cisplatin found that acaloric fasting led to decreased DNA damage in white blood cells, decreased IFG-1, and better white blood cell counts (BMC Cancer. 2016 Jun 10;16:360). “The benefits are immediate, and the optimal fasting time appears to be 48 hours,” Dr. Lemanne said.

One of her patients is a 64-year-old man on adjuvant cisplatin-based chemotherapy for cholangiocarcinoma. He fasts 24 hours before and 24 hours after each infusion, and has experienced no emesis or nausea. “His immune suppression and anemia are much milder than we expected, and he has not required any treatment for chemotherapy-related side effects,” Dr. Lemanne said. “That’s a big monetary value.”

Fasting 13 hours overnight has been associated with fewer breast cancer-related problems in patients already diagnosed with the disease. Chronic caloric restriction, just cutting calories by 25%-40% daily, has been shown to delay all diseases of aging, including cancer, and is associated with increased longevity in many species. “Chronic caloric restriction is difficult, however, because it results in chronic hunger and weight loss,” she said. “Occasional fasting is superior to chronic caloric restriction because it maintains normal weight, preserves lean muscle mass, enhances tumor sensitivity to chemotherapy and radiotherapy, and diminishes the side effects of chemotherapy.”

Dr. Lemanne reported having no financial disclosures.

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Less gestational weight gain seen with metformin

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– Pregnant women with type 2 diabetes or prediabetes had significantly less gestational weight gain if they had metformin exposure at any point in their pregnancies, with no differences in infant birth weight or postnatal infant hypoglycemia, according to research presented at the meeting sponsored by the Society for Maternal-Fetal Medicine.

Kari Oakes/MDedge News
Dr. Jacquelyn Adams

In a retrospective single-center review of 284 women without metformin exposure and 227 with metformin exposure in pregnancy, metformin exposure at any point in pregnancy was associated with a significantly greater chance of appropriate – rather than excessive – weight gain.

The relationship held true for the 169 women who had metformin in their first trimester of pregnancy. Here, 69% of women had appropriate weight gain using Institute of Medicine and American College of Obstetricians and Gynecologists standards, compared with 54% of the 282 women who had no metformin exposure (adjusted odds ratio 1.92, P = .003). A further 22% of women receiving metformin in their first trimester of pregnancy lost weight, compared with 9% of women without metformin exposure (aOR 2.11, P = .019). There was no significant difference between the two groups in infant birth weight.

Separately, study author Jacquelyn Adams, MD, and her colleagues analyzed outcomes for the full cohort of 227 women who received metformin at any point in their pregnancy, comparing them again to the 282 women who had not received metformin. Most women (85%) were on 2 g of metformin at the time of delivery. These results again showed a greater likelihood of appropriate weight gain in the metformin group (69%; aOR 1.85; P = .002). Maternal weight loss was seen in 20% of this group (aOR 1.98, P = .018). Infant birth weights were not significantly different between these two groups.

“We found that women who had been on metformin at any point in their pregnancy had more appropriate weight gain and less excessive weight gain,” said Dr. Adams, a maternal-fetal medicine fellow at the University of Wisconsin–Madison. “Actually, some women on metformin had even had a little bit of weight loss, with no difference in their baby’s birth weight. So that’s really exciting, because our starting prepregnancy body mass index was 33-36 [kg/m2], which is considered obese,” she said in an interview.

This is an important finding, said Dr. Adams, because previous work has shown that less weight gain in pregnancy is associated with lower risk for hypertension and preeclampsia, and lower rates of fetal macrosomia.

What about infant outcomes? Dr. Adams said that there were many concerns about metformin: “Would it affect baby outcome? Were those babies more likely to be hypoglycemic? Were they more likely to be growth restricted? Were they more likely to have issues in the NICU? And the answer was really, ‘No.’ ”

“So we can both help these women have appropriate weight gain and not have any negative effects on these babies,” she added.

Specifically, Dr. Adams and her coinvestigators found no significant differences between the groups in gestational age at birth, likelihood of neonatal ICU admission, Apgar scores, neonatal hypoglycemia, respiratory distress syndrome, or fetal death. Fetal growth restriction and anomalies occurred at a low and similar rate between the groups.

Dr. Adams said that she was not surprised to see that metformin was associated with less weight gain in pregnancy, but she was surprised at how highly significant the differences were with metformin use. “Metformin is first-line for diabetes in nonpregnant individuals because it’s associated with things like weight loss, and because of ease of use and lack of hypoglycemia – so I was really hoping to see this kind of result.”

Women receiving metformin were a mean 34 years old, while those who didn’t get metformin were 32 years old, a significant difference. Prepregnancy body mass index also was higher in those receiving metformin, and they were more likely to have a type 2 diabetes diagnosis. A similar proportion of both groups – about two-thirds – were white, and about 20% were Hispanic.

The lower weight gain seen in metformin-takers also might smooth the way post partum, said Dr. Adams. “My perception is that, when these women leave us, they might not have any primary care follow-up; they might not have anybody following their diabetes; and metformin is a very viable way to help them in their life outside of pregnancy.

“Not to mention that all the weight you gain in pregnancy, you do eventually have to lose post partum,” she added, “so having less pregnancy weight gain kind of sets them up for success in their postpregnancy life as well.”

Asked whether these results inform the ongoing question of whether insulin or metformin is the most appropriate first-line treatment for gestational diabetes, Dr. Adams first noted that “there’s a lot of crossover,” pointing out that over 60% of the participants in her study eventually also required insulin.

“It’s a question I would love to address in a head-to-head trial,” she said, adding that questions about metformin’s effects on the placenta and the potential for later deleterious effects require more study.

In her practice, Dr. Adams said that patients generally are discharged with a metformin prescription, and then meet with a diabetes educator 1 week after delivery to assess blood glucose levels and adjust medical management. Following that, a warm hand-off to a primary care practice who can continue management and education is optimal, she said.

In terms of next steps, “We would really love to look at metformin in the postpartum period,” said Dr. Adams. Ideally, future work could look for outcomes that extend beyond the 6- to 8-week postpartum follow-up visit. For example, she said, there are indications that women with insulin insensitivity might benefit from metformin while breastfeeding; it’s also possible that metformin might reduce the risk of postpartum preeclampsia.

Dr. Adams reported that she had no conflicts of interest and no outside sources of funding.

SOURCE: Adams J et al. SMFM 2020, Abstract 335.

*This story was updated 2/10/2020.

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– Pregnant women with type 2 diabetes or prediabetes had significantly less gestational weight gain if they had metformin exposure at any point in their pregnancies, with no differences in infant birth weight or postnatal infant hypoglycemia, according to research presented at the meeting sponsored by the Society for Maternal-Fetal Medicine.

Kari Oakes/MDedge News
Dr. Jacquelyn Adams

In a retrospective single-center review of 284 women without metformin exposure and 227 with metformin exposure in pregnancy, metformin exposure at any point in pregnancy was associated with a significantly greater chance of appropriate – rather than excessive – weight gain.

The relationship held true for the 169 women who had metformin in their first trimester of pregnancy. Here, 69% of women had appropriate weight gain using Institute of Medicine and American College of Obstetricians and Gynecologists standards, compared with 54% of the 282 women who had no metformin exposure (adjusted odds ratio 1.92, P = .003). A further 22% of women receiving metformin in their first trimester of pregnancy lost weight, compared with 9% of women without metformin exposure (aOR 2.11, P = .019). There was no significant difference between the two groups in infant birth weight.

Separately, study author Jacquelyn Adams, MD, and her colleagues analyzed outcomes for the full cohort of 227 women who received metformin at any point in their pregnancy, comparing them again to the 282 women who had not received metformin. Most women (85%) were on 2 g of metformin at the time of delivery. These results again showed a greater likelihood of appropriate weight gain in the metformin group (69%; aOR 1.85; P = .002). Maternal weight loss was seen in 20% of this group (aOR 1.98, P = .018). Infant birth weights were not significantly different between these two groups.

“We found that women who had been on metformin at any point in their pregnancy had more appropriate weight gain and less excessive weight gain,” said Dr. Adams, a maternal-fetal medicine fellow at the University of Wisconsin–Madison. “Actually, some women on metformin had even had a little bit of weight loss, with no difference in their baby’s birth weight. So that’s really exciting, because our starting prepregnancy body mass index was 33-36 [kg/m2], which is considered obese,” she said in an interview.

This is an important finding, said Dr. Adams, because previous work has shown that less weight gain in pregnancy is associated with lower risk for hypertension and preeclampsia, and lower rates of fetal macrosomia.

What about infant outcomes? Dr. Adams said that there were many concerns about metformin: “Would it affect baby outcome? Were those babies more likely to be hypoglycemic? Were they more likely to be growth restricted? Were they more likely to have issues in the NICU? And the answer was really, ‘No.’ ”

“So we can both help these women have appropriate weight gain and not have any negative effects on these babies,” she added.

Specifically, Dr. Adams and her coinvestigators found no significant differences between the groups in gestational age at birth, likelihood of neonatal ICU admission, Apgar scores, neonatal hypoglycemia, respiratory distress syndrome, or fetal death. Fetal growth restriction and anomalies occurred at a low and similar rate between the groups.

Dr. Adams said that she was not surprised to see that metformin was associated with less weight gain in pregnancy, but she was surprised at how highly significant the differences were with metformin use. “Metformin is first-line for diabetes in nonpregnant individuals because it’s associated with things like weight loss, and because of ease of use and lack of hypoglycemia – so I was really hoping to see this kind of result.”

Women receiving metformin were a mean 34 years old, while those who didn’t get metformin were 32 years old, a significant difference. Prepregnancy body mass index also was higher in those receiving metformin, and they were more likely to have a type 2 diabetes diagnosis. A similar proportion of both groups – about two-thirds – were white, and about 20% were Hispanic.

The lower weight gain seen in metformin-takers also might smooth the way post partum, said Dr. Adams. “My perception is that, when these women leave us, they might not have any primary care follow-up; they might not have anybody following their diabetes; and metformin is a very viable way to help them in their life outside of pregnancy.

“Not to mention that all the weight you gain in pregnancy, you do eventually have to lose post partum,” she added, “so having less pregnancy weight gain kind of sets them up for success in their postpregnancy life as well.”

Asked whether these results inform the ongoing question of whether insulin or metformin is the most appropriate first-line treatment for gestational diabetes, Dr. Adams first noted that “there’s a lot of crossover,” pointing out that over 60% of the participants in her study eventually also required insulin.

“It’s a question I would love to address in a head-to-head trial,” she said, adding that questions about metformin’s effects on the placenta and the potential for later deleterious effects require more study.

In her practice, Dr. Adams said that patients generally are discharged with a metformin prescription, and then meet with a diabetes educator 1 week after delivery to assess blood glucose levels and adjust medical management. Following that, a warm hand-off to a primary care practice who can continue management and education is optimal, she said.

In terms of next steps, “We would really love to look at metformin in the postpartum period,” said Dr. Adams. Ideally, future work could look for outcomes that extend beyond the 6- to 8-week postpartum follow-up visit. For example, she said, there are indications that women with insulin insensitivity might benefit from metformin while breastfeeding; it’s also possible that metformin might reduce the risk of postpartum preeclampsia.

Dr. Adams reported that she had no conflicts of interest and no outside sources of funding.

SOURCE: Adams J et al. SMFM 2020, Abstract 335.

*This story was updated 2/10/2020.

– Pregnant women with type 2 diabetes or prediabetes had significantly less gestational weight gain if they had metformin exposure at any point in their pregnancies, with no differences in infant birth weight or postnatal infant hypoglycemia, according to research presented at the meeting sponsored by the Society for Maternal-Fetal Medicine.

Kari Oakes/MDedge News
Dr. Jacquelyn Adams

In a retrospective single-center review of 284 women without metformin exposure and 227 with metformin exposure in pregnancy, metformin exposure at any point in pregnancy was associated with a significantly greater chance of appropriate – rather than excessive – weight gain.

The relationship held true for the 169 women who had metformin in their first trimester of pregnancy. Here, 69% of women had appropriate weight gain using Institute of Medicine and American College of Obstetricians and Gynecologists standards, compared with 54% of the 282 women who had no metformin exposure (adjusted odds ratio 1.92, P = .003). A further 22% of women receiving metformin in their first trimester of pregnancy lost weight, compared with 9% of women without metformin exposure (aOR 2.11, P = .019). There was no significant difference between the two groups in infant birth weight.

Separately, study author Jacquelyn Adams, MD, and her colleagues analyzed outcomes for the full cohort of 227 women who received metformin at any point in their pregnancy, comparing them again to the 282 women who had not received metformin. Most women (85%) were on 2 g of metformin at the time of delivery. These results again showed a greater likelihood of appropriate weight gain in the metformin group (69%; aOR 1.85; P = .002). Maternal weight loss was seen in 20% of this group (aOR 1.98, P = .018). Infant birth weights were not significantly different between these two groups.

“We found that women who had been on metformin at any point in their pregnancy had more appropriate weight gain and less excessive weight gain,” said Dr. Adams, a maternal-fetal medicine fellow at the University of Wisconsin–Madison. “Actually, some women on metformin had even had a little bit of weight loss, with no difference in their baby’s birth weight. So that’s really exciting, because our starting prepregnancy body mass index was 33-36 [kg/m2], which is considered obese,” she said in an interview.

This is an important finding, said Dr. Adams, because previous work has shown that less weight gain in pregnancy is associated with lower risk for hypertension and preeclampsia, and lower rates of fetal macrosomia.

What about infant outcomes? Dr. Adams said that there were many concerns about metformin: “Would it affect baby outcome? Were those babies more likely to be hypoglycemic? Were they more likely to be growth restricted? Were they more likely to have issues in the NICU? And the answer was really, ‘No.’ ”

“So we can both help these women have appropriate weight gain and not have any negative effects on these babies,” she added.

Specifically, Dr. Adams and her coinvestigators found no significant differences between the groups in gestational age at birth, likelihood of neonatal ICU admission, Apgar scores, neonatal hypoglycemia, respiratory distress syndrome, or fetal death. Fetal growth restriction and anomalies occurred at a low and similar rate between the groups.

Dr. Adams said that she was not surprised to see that metformin was associated with less weight gain in pregnancy, but she was surprised at how highly significant the differences were with metformin use. “Metformin is first-line for diabetes in nonpregnant individuals because it’s associated with things like weight loss, and because of ease of use and lack of hypoglycemia – so I was really hoping to see this kind of result.”

Women receiving metformin were a mean 34 years old, while those who didn’t get metformin were 32 years old, a significant difference. Prepregnancy body mass index also was higher in those receiving metformin, and they were more likely to have a type 2 diabetes diagnosis. A similar proportion of both groups – about two-thirds – were white, and about 20% were Hispanic.

The lower weight gain seen in metformin-takers also might smooth the way post partum, said Dr. Adams. “My perception is that, when these women leave us, they might not have any primary care follow-up; they might not have anybody following their diabetes; and metformin is a very viable way to help them in their life outside of pregnancy.

“Not to mention that all the weight you gain in pregnancy, you do eventually have to lose post partum,” she added, “so having less pregnancy weight gain kind of sets them up for success in their postpregnancy life as well.”

Asked whether these results inform the ongoing question of whether insulin or metformin is the most appropriate first-line treatment for gestational diabetes, Dr. Adams first noted that “there’s a lot of crossover,” pointing out that over 60% of the participants in her study eventually also required insulin.

“It’s a question I would love to address in a head-to-head trial,” she said, adding that questions about metformin’s effects on the placenta and the potential for later deleterious effects require more study.

In her practice, Dr. Adams said that patients generally are discharged with a metformin prescription, and then meet with a diabetes educator 1 week after delivery to assess blood glucose levels and adjust medical management. Following that, a warm hand-off to a primary care practice who can continue management and education is optimal, she said.

In terms of next steps, “We would really love to look at metformin in the postpartum period,” said Dr. Adams. Ideally, future work could look for outcomes that extend beyond the 6- to 8-week postpartum follow-up visit. For example, she said, there are indications that women with insulin insensitivity might benefit from metformin while breastfeeding; it’s also possible that metformin might reduce the risk of postpartum preeclampsia.

Dr. Adams reported that she had no conflicts of interest and no outside sources of funding.

SOURCE: Adams J et al. SMFM 2020, Abstract 335.

*This story was updated 2/10/2020.

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FDA not recommending recalls of diabetes drug metformin

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The Food and Drug Administration says it has no plans to recall any metformin products, used for the treatment of type 2 diabetes, after tests it conducted did not show any evidence of contamination with N-nitrosodimethylamine (NDMA) at levels that would cause concern.

The FDA began testing samples of metformin for the carcinogen NDMA at the end of 2019. Contamination with this substance has led to recalls of hypertension and heartburn medications within the past 2 years.

That announcement came on the heels of a recall of three versions of metformin in Singapore and the European Medicines Agency’s request that manufacturers test for NDMA.

This week, the FDA posted laboratory results in which NDMA levels in some metformin products ranged from “not detectable to low.”

“To date, no sample of metformin that FDA has tested exceeds the acceptable daily intake for NDMA. FDA has not recommended metformin recalls in the U.S.,” the agency indicates.

More than 30 million people in the United States have diabetes; 90%-95% of cases are of type 2. Metformin is the fourth most prescribed drug in the United States.

“Patients should continue taking metformin to keep their diabetes under control,” the FDA emphasized. “It could be dangerous for patients with this serious condition to stop taking their metformin without first talking to their health care professionals.”

The agency plans to post the methods used in laboratory testing of metformin in the near future. The FDA is collaborating with international regulators to share testing results for metformin, along with testing results for other drugs.

The U.S. agency says it will continue to monitor NDMA in metformin, along with other drug products, and will provide timely updates of new developments, including product recalls.

For more information about NDMA, visit the FDA’s nitrosamines webpage.

The FDA also encourages health care professionals and patients to report adverse reactions or quality problems with any human drugs to the agency’s MedWatch Adverse Event Reporting program.

This article first appeared on Medscape.com.

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The Food and Drug Administration says it has no plans to recall any metformin products, used for the treatment of type 2 diabetes, after tests it conducted did not show any evidence of contamination with N-nitrosodimethylamine (NDMA) at levels that would cause concern.

The FDA began testing samples of metformin for the carcinogen NDMA at the end of 2019. Contamination with this substance has led to recalls of hypertension and heartburn medications within the past 2 years.

That announcement came on the heels of a recall of three versions of metformin in Singapore and the European Medicines Agency’s request that manufacturers test for NDMA.

This week, the FDA posted laboratory results in which NDMA levels in some metformin products ranged from “not detectable to low.”

“To date, no sample of metformin that FDA has tested exceeds the acceptable daily intake for NDMA. FDA has not recommended metformin recalls in the U.S.,” the agency indicates.

More than 30 million people in the United States have diabetes; 90%-95% of cases are of type 2. Metformin is the fourth most prescribed drug in the United States.

“Patients should continue taking metformin to keep their diabetes under control,” the FDA emphasized. “It could be dangerous for patients with this serious condition to stop taking their metformin without first talking to their health care professionals.”

The agency plans to post the methods used in laboratory testing of metformin in the near future. The FDA is collaborating with international regulators to share testing results for metformin, along with testing results for other drugs.

The U.S. agency says it will continue to monitor NDMA in metformin, along with other drug products, and will provide timely updates of new developments, including product recalls.

For more information about NDMA, visit the FDA’s nitrosamines webpage.

The FDA also encourages health care professionals and patients to report adverse reactions or quality problems with any human drugs to the agency’s MedWatch Adverse Event Reporting program.

This article first appeared on Medscape.com.

The Food and Drug Administration says it has no plans to recall any metformin products, used for the treatment of type 2 diabetes, after tests it conducted did not show any evidence of contamination with N-nitrosodimethylamine (NDMA) at levels that would cause concern.

The FDA began testing samples of metformin for the carcinogen NDMA at the end of 2019. Contamination with this substance has led to recalls of hypertension and heartburn medications within the past 2 years.

That announcement came on the heels of a recall of three versions of metformin in Singapore and the European Medicines Agency’s request that manufacturers test for NDMA.

This week, the FDA posted laboratory results in which NDMA levels in some metformin products ranged from “not detectable to low.”

“To date, no sample of metformin that FDA has tested exceeds the acceptable daily intake for NDMA. FDA has not recommended metformin recalls in the U.S.,” the agency indicates.

More than 30 million people in the United States have diabetes; 90%-95% of cases are of type 2. Metformin is the fourth most prescribed drug in the United States.

“Patients should continue taking metformin to keep their diabetes under control,” the FDA emphasized. “It could be dangerous for patients with this serious condition to stop taking their metformin without first talking to their health care professionals.”

The agency plans to post the methods used in laboratory testing of metformin in the near future. The FDA is collaborating with international regulators to share testing results for metformin, along with testing results for other drugs.

The U.S. agency says it will continue to monitor NDMA in metformin, along with other drug products, and will provide timely updates of new developments, including product recalls.

For more information about NDMA, visit the FDA’s nitrosamines webpage.

The FDA also encourages health care professionals and patients to report adverse reactions or quality problems with any human drugs to the agency’s MedWatch Adverse Event Reporting program.

This article first appeared on Medscape.com.

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Medscape Article

How much exercise is needed for maximum heart benefit?

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– Physical activity is potent medicine, and it doesn’t take all that much of it to derive the maximum cardiovascular benefit: namely, the equivalent of a brisk hour-long walk 5 days/week or jogging at a 10-minute-per-mile pace for half an hour twice weekly, Robert A. Vogel, MD, asserted at the annual Cardiovascular Conference at Snowmass sponsored by the American College of Cardiology.

Bruce Jancin/MDedge News
Dr. Robert A. Vogel

“I’m not telling you to run marathons. A message for your patients is, ‘You don’t have to do a lot, but you have to do something,’ ” said Dr. Vogel, a cardiologist at the University of Colorado at Denver, Aurora, with a longstanding interest in preventive cardiology.

He presented selected highlights from the massive evidence base underlying the recommendations put forth in the current comprehensive U.S. Department of Health & Human Services Physical Activity Guidelines for Americans.

One particularly compelling chunk of evidence comes from a Taiwanese government–funded prospective cohort study of more than 416,000 individuals followed for an average of 8 years. A key finding: 15 minutes of moderate-intensity physical activity daily was associated with a 14% reduction in the relative risk of all-cause mortality and a 19% reduction in death caused by cardiovascular disease, compared with that of inactive individuals. Moreover, each additional 15 minutes of daily moderate exercise further reduced mortality by 4%. These benefits extended across the full age spectrum of both sexes and applied to patients with cardiovascular disease (Lancet. 2011 Oct 1;378[9798]:1244-53).

“That’s a very impressive result for modest physical activity,” the cardiologist commented.

Data on more than 50,000 adult participants in the Aerobics Center Longitudinal Study based at the Cooper Clinic in Dallas show that vigorous exercise in the form of running at 6 mph for half an hour twice weekly, or a total of 10 metabolic equivalent of task hours (MET-HR) per week, was associated with a roughly 40% reduction in cardiovascular disease mortality. Importantly, 20, 40, or 50 MET-HR/week of vigorous exercise conferred no further survival benefit (J Am Coll Cardiol. 2014 Aug 5;64[5]:472-81). The same group showed that the sweet spot for moderate physical activity in terms of reduced cardiovascular mortality was brisk walking for an hour daily 5 days/week, for a total of 20 MET-HR, which was also associated with roughly a 40% risk reduction compared to inactivity. At that point the benefit plateaued, with no further mortality reduction noted with additional MET-HR of moderate exercise.

“For more than that, we have no evidence of additional cardiovascular benefit. It’s not going to get you to the Tokyo Olympics, but that’s what we need to be doing,” Dr. Vogel observed.

In another report from the Aerobics Center Longitudinal Study, investigators found that moderate-level cardiorespiratory fitness as defined by METs was associated with a 44% reduction in the risk of sudden cardiac death in men and women after adjustment for potential confounders, while high-level cardiorespiratory fitness was associated with a closely similar 48% reduction in risk. This applied to individuals who were hypertensive, overweight, and/or had poor health status, as well as to others (Mayo Clin Proc. 2016 Jul;91[7]:849-57).


 

 

 

All activity counts

Exercise physiologists speak of NEPA – nonexercise physical activity – such as taking out the garbage. Swedish investigators followed more than 4,200 individuals for an average of 12.5 years and found that high NEPA activity was independently associated with a 30% reduction in all-cause mortality and a 27% lower risk of a first cardiovascular disease event, compared with low NEPA. High NEPA in regular exercisers was associated with a lower rate of metabolic syndrome than in low-NEPA regular exercisers (Br J Sports Med. 2014 Feb;48[3]:233-8).

Don’t just sit there – stand!

The current federal physical activity guidelines place a new emphasis on the detrimental effects of sitting. A report on more than 221,000 participants in the Australian 45 and Up Study, with close to 1 million person-years of follow-up, demonstrated a linear inverse relationship between standing time per day and all-cause mortality. In a multivariate analysis adjusted for potential confounders, individuals who stood for 2-5 hours per day had a 10% lower risk of all-cause mortality than did those who stood for less than 2 hours. Standing for 5-8 hours was associated with a 15% relative risk reduction. And standing for more than 8 hours daily was linked to a 24% reduction in risk (Prev Med. 2014 Dec;69:187-91).

And it’s not just total daily sitting time that’s a risk factor. Prolonged, uninterrupted sedentary time was also associated with a dose-dependent increase in all-cause mortality in a prospective cohort study of nearly 8,000 U.S. adults (Ann Intern Med. 2017 Oct 3;167[7]:465-75).

“If you can’t walk around, talk to your patients standing up. That activity of getting out of your chair is lifesaving,” the cardiologist advised.
 

Get strong

Muscle-strengthening activity on at least 2 days/week is recommended in the federal guidelines because it’s independently associated with decreased all-cause mortality, even in individuals getting sufficient aerobic exercise, as shown in a large national study with 15-years’ follow-up (Prev Med. 2016 Jun;87:121-127).

“As we get older, we tend to forget about muscle. I work with the National Football League. These folks are pretty strong, but we never see diabetes in these very big players, who are often well over 300 lb. They’ve got a lot of muscle. If you want to prevent diabetes, be strong. It’s a very important factor,” Dr. Vogel said.
 

For the time constrained

Jogging is more time-efficient than brisk walking as a way to attain the maximum cardiovascular benefit of exercise. And the so-called “Weekend Warrior” study of nearly 64,000 U.K. adults showed that it’s okay to cram the full week’s worth of exercise into one or two sessions and be done with it. Compared with the inactive study participants, the weekend warriors had a 40% reduction in cardiovascular disease mortality, while individuals who split their physical activity up into three or more sessions per week had a nearly identical 41% relative risk reduction (JAMA Intern Med. 2017 Mar 1;177[3]:335-42).

Interval training is a standard way for athletes in training to improve their endurance by alternating short, intense exercise with brief recovery periods. It’s also a time saver: In one classic bicycling study, physically active men were randomized to standardized 2-week programs of sprint interval training or high-volume endurance training on the bike. The training time required to pass a rigorous cycling time trial test was 90% lower in the interval training group (J Physiol. 2006 Sep 15;575(Pt 3):901-11).

The same principle is applicable to the nonathlete interested in physical activity for heart health.

“When I run a couple of miles, I walk for 5 minutes, then maybe run for three-quarters of a mile, then walk again, then run. In interval training you get your heart rate up, and you drop it down. It’s a very good form of exercise. As a vascular biologist I know that if you put endothelial cells in a Petri dish and spin them real fast continuously, you will not get as good an improvement in endothelial function as if you spin the dish, stop it, spin it, stop it,” Dr. Vogel said.
 

 

 

High-volume exercise is safe, even with high coronary calcium

A clinically significant coronary artery calcification score of 100 Agatston units or more is no reason not to exercise. A Cooper Clinic report on nearly 22,000 middle-aged men without baseline cardiovascular disease who were followed for a mean of 10.4 years concluded that those in the highest-volume exercise group, many of whom were marathon runners and engaged in the equivalent of running for at least 5-6 hours/week at a pace of 10 minutes per mile, were 11% more likely to have an elevated baseline coronary artery calcification score than those who exercised less. But these highest-volume exercisers with elevated coronary calcium – their mean level was 807 Agatston units – had risks of all-cause and cardiovascular mortality that weren’t significantly different from those of men with elevated coronary calcium who exercised more moderately (JAMA Cardiol. 2019 Feb 1;4[2]:174-81).

Cardiac rehab

Dr. Vogel had harsh words for his physician colleagues with respect to the widespread underprescribing of cardiac rehabilitation programs.

“You guys are doing a crappy job with exercise in our most vulnerable patients: those who’ve had cardiovascular events,” he charged. “Cardiac rehabilitation is a Class I recommendation in our guidelines. And yet utilization in the United States is just 10%-20%. No other Class I recommendation is in that ballpark.”

A meta-analysis of 34 randomized trials totaling more than 6,000 post-MI patients concluded that those randomized to exercise-based cardiac rehabilitation had a 47% reduction in the risk of reinfarction, 36% lower cardiac mortality, and a 26% reduction in all-cause mortality (Am Heart J. 2011 Oct;162[4]:571-584.e2).

“The data show that cardiac rehabilitation is as effective as anything else we do in cardiovascular medicine. I understand that patients live far away, they don’t like to exercise – I’ve heard every excuse. But I am charging you with the responsibility of meeting a Class I recommendation that gets patients to live longer,” he declared.

Medicare now covers an enhanced, 72-session program called Intensive Cardiac Rehabilitation that teaches comprehensive lifestyle change and provides reasonable reimbursement. “It’s a good thing for our patients,” Dr. Vogel commented.
 

Yoga

For patients who are reluctant to pound the pavement, yoga may provide an alternative form of physical activity with tangible cardiovascular benefits. Dr. Vogel pointed to the Yoga-CaRe trial presented at the 2018 scientific sessions of the American Heart Association. Yoga-CaRe randomized 3,959 post-MI patients at 29 centers in India to a program of 13 supervised in-hospital yoga classes followed by yoga at home, or to a control group with three educational sessions. The rate of major adverse cardiovascular events over 42 months of follow-up was cut in half, compared with controls, in the 27% of participants who attended at least 10 of the 13 yoga classes. Their quality of life scores were higher, too.

Dr. Vogel reported serving as a paid consultant to the National Football League and the Pritikin Longevity Center. He is on the speaker’s bureau for Sanofi and Regeneron.

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– Physical activity is potent medicine, and it doesn’t take all that much of it to derive the maximum cardiovascular benefit: namely, the equivalent of a brisk hour-long walk 5 days/week or jogging at a 10-minute-per-mile pace for half an hour twice weekly, Robert A. Vogel, MD, asserted at the annual Cardiovascular Conference at Snowmass sponsored by the American College of Cardiology.

Bruce Jancin/MDedge News
Dr. Robert A. Vogel

“I’m not telling you to run marathons. A message for your patients is, ‘You don’t have to do a lot, but you have to do something,’ ” said Dr. Vogel, a cardiologist at the University of Colorado at Denver, Aurora, with a longstanding interest in preventive cardiology.

He presented selected highlights from the massive evidence base underlying the recommendations put forth in the current comprehensive U.S. Department of Health & Human Services Physical Activity Guidelines for Americans.

One particularly compelling chunk of evidence comes from a Taiwanese government–funded prospective cohort study of more than 416,000 individuals followed for an average of 8 years. A key finding: 15 minutes of moderate-intensity physical activity daily was associated with a 14% reduction in the relative risk of all-cause mortality and a 19% reduction in death caused by cardiovascular disease, compared with that of inactive individuals. Moreover, each additional 15 minutes of daily moderate exercise further reduced mortality by 4%. These benefits extended across the full age spectrum of both sexes and applied to patients with cardiovascular disease (Lancet. 2011 Oct 1;378[9798]:1244-53).

“That’s a very impressive result for modest physical activity,” the cardiologist commented.

Data on more than 50,000 adult participants in the Aerobics Center Longitudinal Study based at the Cooper Clinic in Dallas show that vigorous exercise in the form of running at 6 mph for half an hour twice weekly, or a total of 10 metabolic equivalent of task hours (MET-HR) per week, was associated with a roughly 40% reduction in cardiovascular disease mortality. Importantly, 20, 40, or 50 MET-HR/week of vigorous exercise conferred no further survival benefit (J Am Coll Cardiol. 2014 Aug 5;64[5]:472-81). The same group showed that the sweet spot for moderate physical activity in terms of reduced cardiovascular mortality was brisk walking for an hour daily 5 days/week, for a total of 20 MET-HR, which was also associated with roughly a 40% risk reduction compared to inactivity. At that point the benefit plateaued, with no further mortality reduction noted with additional MET-HR of moderate exercise.

“For more than that, we have no evidence of additional cardiovascular benefit. It’s not going to get you to the Tokyo Olympics, but that’s what we need to be doing,” Dr. Vogel observed.

In another report from the Aerobics Center Longitudinal Study, investigators found that moderate-level cardiorespiratory fitness as defined by METs was associated with a 44% reduction in the risk of sudden cardiac death in men and women after adjustment for potential confounders, while high-level cardiorespiratory fitness was associated with a closely similar 48% reduction in risk. This applied to individuals who were hypertensive, overweight, and/or had poor health status, as well as to others (Mayo Clin Proc. 2016 Jul;91[7]:849-57).


 

 

 

All activity counts

Exercise physiologists speak of NEPA – nonexercise physical activity – such as taking out the garbage. Swedish investigators followed more than 4,200 individuals for an average of 12.5 years and found that high NEPA activity was independently associated with a 30% reduction in all-cause mortality and a 27% lower risk of a first cardiovascular disease event, compared with low NEPA. High NEPA in regular exercisers was associated with a lower rate of metabolic syndrome than in low-NEPA regular exercisers (Br J Sports Med. 2014 Feb;48[3]:233-8).

Don’t just sit there – stand!

The current federal physical activity guidelines place a new emphasis on the detrimental effects of sitting. A report on more than 221,000 participants in the Australian 45 and Up Study, with close to 1 million person-years of follow-up, demonstrated a linear inverse relationship between standing time per day and all-cause mortality. In a multivariate analysis adjusted for potential confounders, individuals who stood for 2-5 hours per day had a 10% lower risk of all-cause mortality than did those who stood for less than 2 hours. Standing for 5-8 hours was associated with a 15% relative risk reduction. And standing for more than 8 hours daily was linked to a 24% reduction in risk (Prev Med. 2014 Dec;69:187-91).

And it’s not just total daily sitting time that’s a risk factor. Prolonged, uninterrupted sedentary time was also associated with a dose-dependent increase in all-cause mortality in a prospective cohort study of nearly 8,000 U.S. adults (Ann Intern Med. 2017 Oct 3;167[7]:465-75).

“If you can’t walk around, talk to your patients standing up. That activity of getting out of your chair is lifesaving,” the cardiologist advised.
 

Get strong

Muscle-strengthening activity on at least 2 days/week is recommended in the federal guidelines because it’s independently associated with decreased all-cause mortality, even in individuals getting sufficient aerobic exercise, as shown in a large national study with 15-years’ follow-up (Prev Med. 2016 Jun;87:121-127).

“As we get older, we tend to forget about muscle. I work with the National Football League. These folks are pretty strong, but we never see diabetes in these very big players, who are often well over 300 lb. They’ve got a lot of muscle. If you want to prevent diabetes, be strong. It’s a very important factor,” Dr. Vogel said.
 

For the time constrained

Jogging is more time-efficient than brisk walking as a way to attain the maximum cardiovascular benefit of exercise. And the so-called “Weekend Warrior” study of nearly 64,000 U.K. adults showed that it’s okay to cram the full week’s worth of exercise into one or two sessions and be done with it. Compared with the inactive study participants, the weekend warriors had a 40% reduction in cardiovascular disease mortality, while individuals who split their physical activity up into three or more sessions per week had a nearly identical 41% relative risk reduction (JAMA Intern Med. 2017 Mar 1;177[3]:335-42).

Interval training is a standard way for athletes in training to improve their endurance by alternating short, intense exercise with brief recovery periods. It’s also a time saver: In one classic bicycling study, physically active men were randomized to standardized 2-week programs of sprint interval training or high-volume endurance training on the bike. The training time required to pass a rigorous cycling time trial test was 90% lower in the interval training group (J Physiol. 2006 Sep 15;575(Pt 3):901-11).

The same principle is applicable to the nonathlete interested in physical activity for heart health.

“When I run a couple of miles, I walk for 5 minutes, then maybe run for three-quarters of a mile, then walk again, then run. In interval training you get your heart rate up, and you drop it down. It’s a very good form of exercise. As a vascular biologist I know that if you put endothelial cells in a Petri dish and spin them real fast continuously, you will not get as good an improvement in endothelial function as if you spin the dish, stop it, spin it, stop it,” Dr. Vogel said.
 

 

 

High-volume exercise is safe, even with high coronary calcium

A clinically significant coronary artery calcification score of 100 Agatston units or more is no reason not to exercise. A Cooper Clinic report on nearly 22,000 middle-aged men without baseline cardiovascular disease who were followed for a mean of 10.4 years concluded that those in the highest-volume exercise group, many of whom were marathon runners and engaged in the equivalent of running for at least 5-6 hours/week at a pace of 10 minutes per mile, were 11% more likely to have an elevated baseline coronary artery calcification score than those who exercised less. But these highest-volume exercisers with elevated coronary calcium – their mean level was 807 Agatston units – had risks of all-cause and cardiovascular mortality that weren’t significantly different from those of men with elevated coronary calcium who exercised more moderately (JAMA Cardiol. 2019 Feb 1;4[2]:174-81).

Cardiac rehab

Dr. Vogel had harsh words for his physician colleagues with respect to the widespread underprescribing of cardiac rehabilitation programs.

“You guys are doing a crappy job with exercise in our most vulnerable patients: those who’ve had cardiovascular events,” he charged. “Cardiac rehabilitation is a Class I recommendation in our guidelines. And yet utilization in the United States is just 10%-20%. No other Class I recommendation is in that ballpark.”

A meta-analysis of 34 randomized trials totaling more than 6,000 post-MI patients concluded that those randomized to exercise-based cardiac rehabilitation had a 47% reduction in the risk of reinfarction, 36% lower cardiac mortality, and a 26% reduction in all-cause mortality (Am Heart J. 2011 Oct;162[4]:571-584.e2).

“The data show that cardiac rehabilitation is as effective as anything else we do in cardiovascular medicine. I understand that patients live far away, they don’t like to exercise – I’ve heard every excuse. But I am charging you with the responsibility of meeting a Class I recommendation that gets patients to live longer,” he declared.

Medicare now covers an enhanced, 72-session program called Intensive Cardiac Rehabilitation that teaches comprehensive lifestyle change and provides reasonable reimbursement. “It’s a good thing for our patients,” Dr. Vogel commented.
 

Yoga

For patients who are reluctant to pound the pavement, yoga may provide an alternative form of physical activity with tangible cardiovascular benefits. Dr. Vogel pointed to the Yoga-CaRe trial presented at the 2018 scientific sessions of the American Heart Association. Yoga-CaRe randomized 3,959 post-MI patients at 29 centers in India to a program of 13 supervised in-hospital yoga classes followed by yoga at home, or to a control group with three educational sessions. The rate of major adverse cardiovascular events over 42 months of follow-up was cut in half, compared with controls, in the 27% of participants who attended at least 10 of the 13 yoga classes. Their quality of life scores were higher, too.

Dr. Vogel reported serving as a paid consultant to the National Football League and the Pritikin Longevity Center. He is on the speaker’s bureau for Sanofi and Regeneron.

– Physical activity is potent medicine, and it doesn’t take all that much of it to derive the maximum cardiovascular benefit: namely, the equivalent of a brisk hour-long walk 5 days/week or jogging at a 10-minute-per-mile pace for half an hour twice weekly, Robert A. Vogel, MD, asserted at the annual Cardiovascular Conference at Snowmass sponsored by the American College of Cardiology.

Bruce Jancin/MDedge News
Dr. Robert A. Vogel

“I’m not telling you to run marathons. A message for your patients is, ‘You don’t have to do a lot, but you have to do something,’ ” said Dr. Vogel, a cardiologist at the University of Colorado at Denver, Aurora, with a longstanding interest in preventive cardiology.

He presented selected highlights from the massive evidence base underlying the recommendations put forth in the current comprehensive U.S. Department of Health & Human Services Physical Activity Guidelines for Americans.

One particularly compelling chunk of evidence comes from a Taiwanese government–funded prospective cohort study of more than 416,000 individuals followed for an average of 8 years. A key finding: 15 minutes of moderate-intensity physical activity daily was associated with a 14% reduction in the relative risk of all-cause mortality and a 19% reduction in death caused by cardiovascular disease, compared with that of inactive individuals. Moreover, each additional 15 minutes of daily moderate exercise further reduced mortality by 4%. These benefits extended across the full age spectrum of both sexes and applied to patients with cardiovascular disease (Lancet. 2011 Oct 1;378[9798]:1244-53).

“That’s a very impressive result for modest physical activity,” the cardiologist commented.

Data on more than 50,000 adult participants in the Aerobics Center Longitudinal Study based at the Cooper Clinic in Dallas show that vigorous exercise in the form of running at 6 mph for half an hour twice weekly, or a total of 10 metabolic equivalent of task hours (MET-HR) per week, was associated with a roughly 40% reduction in cardiovascular disease mortality. Importantly, 20, 40, or 50 MET-HR/week of vigorous exercise conferred no further survival benefit (J Am Coll Cardiol. 2014 Aug 5;64[5]:472-81). The same group showed that the sweet spot for moderate physical activity in terms of reduced cardiovascular mortality was brisk walking for an hour daily 5 days/week, for a total of 20 MET-HR, which was also associated with roughly a 40% risk reduction compared to inactivity. At that point the benefit plateaued, with no further mortality reduction noted with additional MET-HR of moderate exercise.

“For more than that, we have no evidence of additional cardiovascular benefit. It’s not going to get you to the Tokyo Olympics, but that’s what we need to be doing,” Dr. Vogel observed.

In another report from the Aerobics Center Longitudinal Study, investigators found that moderate-level cardiorespiratory fitness as defined by METs was associated with a 44% reduction in the risk of sudden cardiac death in men and women after adjustment for potential confounders, while high-level cardiorespiratory fitness was associated with a closely similar 48% reduction in risk. This applied to individuals who were hypertensive, overweight, and/or had poor health status, as well as to others (Mayo Clin Proc. 2016 Jul;91[7]:849-57).


 

 

 

All activity counts

Exercise physiologists speak of NEPA – nonexercise physical activity – such as taking out the garbage. Swedish investigators followed more than 4,200 individuals for an average of 12.5 years and found that high NEPA activity was independently associated with a 30% reduction in all-cause mortality and a 27% lower risk of a first cardiovascular disease event, compared with low NEPA. High NEPA in regular exercisers was associated with a lower rate of metabolic syndrome than in low-NEPA regular exercisers (Br J Sports Med. 2014 Feb;48[3]:233-8).

Don’t just sit there – stand!

The current federal physical activity guidelines place a new emphasis on the detrimental effects of sitting. A report on more than 221,000 participants in the Australian 45 and Up Study, with close to 1 million person-years of follow-up, demonstrated a linear inverse relationship between standing time per day and all-cause mortality. In a multivariate analysis adjusted for potential confounders, individuals who stood for 2-5 hours per day had a 10% lower risk of all-cause mortality than did those who stood for less than 2 hours. Standing for 5-8 hours was associated with a 15% relative risk reduction. And standing for more than 8 hours daily was linked to a 24% reduction in risk (Prev Med. 2014 Dec;69:187-91).

And it’s not just total daily sitting time that’s a risk factor. Prolonged, uninterrupted sedentary time was also associated with a dose-dependent increase in all-cause mortality in a prospective cohort study of nearly 8,000 U.S. adults (Ann Intern Med. 2017 Oct 3;167[7]:465-75).

“If you can’t walk around, talk to your patients standing up. That activity of getting out of your chair is lifesaving,” the cardiologist advised.
 

Get strong

Muscle-strengthening activity on at least 2 days/week is recommended in the federal guidelines because it’s independently associated with decreased all-cause mortality, even in individuals getting sufficient aerobic exercise, as shown in a large national study with 15-years’ follow-up (Prev Med. 2016 Jun;87:121-127).

“As we get older, we tend to forget about muscle. I work with the National Football League. These folks are pretty strong, but we never see diabetes in these very big players, who are often well over 300 lb. They’ve got a lot of muscle. If you want to prevent diabetes, be strong. It’s a very important factor,” Dr. Vogel said.
 

For the time constrained

Jogging is more time-efficient than brisk walking as a way to attain the maximum cardiovascular benefit of exercise. And the so-called “Weekend Warrior” study of nearly 64,000 U.K. adults showed that it’s okay to cram the full week’s worth of exercise into one or two sessions and be done with it. Compared with the inactive study participants, the weekend warriors had a 40% reduction in cardiovascular disease mortality, while individuals who split their physical activity up into three or more sessions per week had a nearly identical 41% relative risk reduction (JAMA Intern Med. 2017 Mar 1;177[3]:335-42).

Interval training is a standard way for athletes in training to improve their endurance by alternating short, intense exercise with brief recovery periods. It’s also a time saver: In one classic bicycling study, physically active men were randomized to standardized 2-week programs of sprint interval training or high-volume endurance training on the bike. The training time required to pass a rigorous cycling time trial test was 90% lower in the interval training group (J Physiol. 2006 Sep 15;575(Pt 3):901-11).

The same principle is applicable to the nonathlete interested in physical activity for heart health.

“When I run a couple of miles, I walk for 5 minutes, then maybe run for three-quarters of a mile, then walk again, then run. In interval training you get your heart rate up, and you drop it down. It’s a very good form of exercise. As a vascular biologist I know that if you put endothelial cells in a Petri dish and spin them real fast continuously, you will not get as good an improvement in endothelial function as if you spin the dish, stop it, spin it, stop it,” Dr. Vogel said.
 

 

 

High-volume exercise is safe, even with high coronary calcium

A clinically significant coronary artery calcification score of 100 Agatston units or more is no reason not to exercise. A Cooper Clinic report on nearly 22,000 middle-aged men without baseline cardiovascular disease who were followed for a mean of 10.4 years concluded that those in the highest-volume exercise group, many of whom were marathon runners and engaged in the equivalent of running for at least 5-6 hours/week at a pace of 10 minutes per mile, were 11% more likely to have an elevated baseline coronary artery calcification score than those who exercised less. But these highest-volume exercisers with elevated coronary calcium – their mean level was 807 Agatston units – had risks of all-cause and cardiovascular mortality that weren’t significantly different from those of men with elevated coronary calcium who exercised more moderately (JAMA Cardiol. 2019 Feb 1;4[2]:174-81).

Cardiac rehab

Dr. Vogel had harsh words for his physician colleagues with respect to the widespread underprescribing of cardiac rehabilitation programs.

“You guys are doing a crappy job with exercise in our most vulnerable patients: those who’ve had cardiovascular events,” he charged. “Cardiac rehabilitation is a Class I recommendation in our guidelines. And yet utilization in the United States is just 10%-20%. No other Class I recommendation is in that ballpark.”

A meta-analysis of 34 randomized trials totaling more than 6,000 post-MI patients concluded that those randomized to exercise-based cardiac rehabilitation had a 47% reduction in the risk of reinfarction, 36% lower cardiac mortality, and a 26% reduction in all-cause mortality (Am Heart J. 2011 Oct;162[4]:571-584.e2).

“The data show that cardiac rehabilitation is as effective as anything else we do in cardiovascular medicine. I understand that patients live far away, they don’t like to exercise – I’ve heard every excuse. But I am charging you with the responsibility of meeting a Class I recommendation that gets patients to live longer,” he declared.

Medicare now covers an enhanced, 72-session program called Intensive Cardiac Rehabilitation that teaches comprehensive lifestyle change and provides reasonable reimbursement. “It’s a good thing for our patients,” Dr. Vogel commented.
 

Yoga

For patients who are reluctant to pound the pavement, yoga may provide an alternative form of physical activity with tangible cardiovascular benefits. Dr. Vogel pointed to the Yoga-CaRe trial presented at the 2018 scientific sessions of the American Heart Association. Yoga-CaRe randomized 3,959 post-MI patients at 29 centers in India to a program of 13 supervised in-hospital yoga classes followed by yoga at home, or to a control group with three educational sessions. The rate of major adverse cardiovascular events over 42 months of follow-up was cut in half, compared with controls, in the 27% of participants who attended at least 10 of the 13 yoga classes. Their quality of life scores were higher, too.

Dr. Vogel reported serving as a paid consultant to the National Football League and the Pritikin Longevity Center. He is on the speaker’s bureau for Sanofi and Regeneron.

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NASH ‘an epidemic of the 21st century’

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– The way Christos S. Mantzoros, MD, DSc, PhD, sees it, nonalcoholic steatohepatitis (NASH) is an epidemic of the 21st century that can trigger a cascade of reactions.

Doug Brunk/MDedge News
Dr. Christos S. Mantzoros

“If more than 5.8% of fat is in the liver, we call it nonalcoholic fatty liver disease [NAFLD],” Dr. Mantzoros, professor of medicine at Harvard Medical School, Boston, and Boston University, explained at the World Congress on Insulin Resistance, Diabetes, and Cardiovascular Disease. “If inflammation develops to remove the fat, we call it NASH. If this progresses to decompensated reaction and fibrosis and cirrhosis, then we call it nonalcoholic steatohepatitis with fibrosis. That can lead to liver cirrhosis, hepatocellular carcinoma, and liver failure.”

The underlying problem stems from the rise in obesity prevalence, according to Dr. Mantzoros, who is also chief of endocrinology at the Boston Veterans Affairs Healthcare System. For 75%-80% of individuals with metabolically unhealthy obesity, the storage space in their adipose tissue is exceeded. “Fat is deposited into muscle, causing insulin resistance, and into the liver,” he explained. “If it’s more than 5.8%, it causes NAFLD. Most of us don’t realize that most of the patients with diabetes we have in our clinics also have nonalcoholic fatty liver disease. That’s because we don’t have an easy diagnostic tool or an easy treatment. It’s an unmet clinical need.” (There are currently no drugs approved for the treatment of NASH or NAFLD. Current recommended first-line treatment is weight loss through diet and exercise and control of diabetes, if it is present.)

“Assuming the rate of increase in cost due to NAFLD parallels the growth in obesity, the 10-year projection for direct cost is $1.005 trillion,” said Dr. Mantzoros, who is also editor in chief of the journal Metabolism. “Obesity, NAFLD, and insulin resistance are each independently associated with a twofold risk for diabetes. If all three are present, there is a 14-fold risk for diabetes. Insulin resistance promotes an increase in free fatty acid traffic to the liver, which can trigger hepatic lipotoxicity. Hyperinsulinemia enhances free fatty acid uptake and activates de novo lipogenesis. Hyperglycemia can also activate de novo lipogenesis.”

About 85 million Americans have NAFLD, he continued. Most (80%) are cases of steatosis, but 20% have NASH. Of those, 20% develop advanced fibrosis, which leads to liver failure and transplantation or death. A study of data from the National Health and Nutrition Examination Survey found that diabetes was the strongest predictor of advanced fibrosis in patients with NAFLD (odds ratio, 18.20), followed by a body mass index of 30 kg/m2 or greater (OR, 9.10), hypertension (OR, 1.20), and age (OR, 1.08; Ailment Pharmacol Ther. 2017;46:974-80). “Most of the patients who come to our clinics with diabetes have nonalcoholic fatty liver disease – 75%-80% in our clinics, and about 10% have advanced fibrosis,” Dr. Mantzoros said. “Most of them go undiagnosed.”

Patients with type 2 diabetes and NAFLD progress faster to fibrosis and end-stage liver disease, compared with those who do not have diabetes. One study of 108 patients with biopsy-proven NALFD showed that 84% of those with fibrosis progression had type 2 diabetes (J Hepatol. 2015;62:1148-55). Other findings have shown that patients with type 2 diabetes are at increased risk of chronic NAFLD and hepatocellular carcinoma (Gastroenterol. 2001;126:460-8). “We are doing more liver transplantations because of NAFLD and NASH than because of hepatitis C,” Dr. Mantzoros said. “What we need to keep in mind is that, although liver morbidity and mortality is important, this is a component of the cardiometabolic syndrome. So, people have all the risk factors for cardiovascular disease. Because CVD is much more common, people with NAFLD suffer from and die from CVD. The more advanced the NAFLD, the higher the risk of death from cardiovascular disease.”



Multiple risk factors can help identify patients with advanced fibrosis because of NASH, he continued, including having features of the metabolic syndrome, being over 50 years of age, being Hispanic, having high levels of ALT/AST, low platelets, and having low albumin. “These are frequent tests that we can find in the EMR,” Dr. Mantzoros said. “The problem with ALT is that, in many stages of the disease, ALT goes up. But after a certain stage of the disease, when most of the liver is controlled by fibrosis and cirrhosis, most of the hepatocytes are dead and don’t secrete ALT, so ALT in end-stage renal disease goes up.”

Recent guidelines recognize the association between diabetes, NAFLD, and NASH, and call for increased vigilance and screening tests. According to guidelines from the American Association for the Study of Liver Diseases, the Fibrosis-4 Index or the NAFLD Fibrosis Score are clinically useful tools for identifying NAFLD in patients with higher likelihood of having bridging fibrosis or cirrhosis (Hepatology. 2018;67[1]:328-57). Vibration-controlled transient elastography or MRI are clinically useful tools for identifying advanced fibrosis in patients with NAFLD, whereas clinical decision aids, such as Fibrosis-4, NAFLD Fibrosis Score, or vibration-controlled transient elastography, can be used to identify patients at low or high risk for advanced fibrosis.

“If we have a patient with suspected NAFLD, we need to rule out alcohol use, we need to confirm NAFLD, and we need to risk stratify, and classify as low, intermediate, or high risk,” Dr. Mantzoros said. Most of his patients who meet criteria for high-risk NASH do not elect to undergo a liver biopsy. “I don’t blame them for that,” he said. “There is a 0.1 per 1,000 mortality risk, even in the best hands. If 80 million people who have fatty liver were to undergo a liver biopsy, we would have 16,000 deaths every year just because of that. We would not tolerate that.”

Recently, Dr. Mantzoros and colleagues published a proof-of-concept study that proposes novel models using lipids, hormones, and glycans that can diagnose the presence of NASH, NAFLD, or healthy status with high accuracy (Metabolism. 2019 Nov 8. doi: 10.1016/j.metabol.2019.154005). “We are now working with companies to validate it and expand it, not only as a diagnostic marker, but as a prognostic marker, and to try to commercialize it in the future,” he said.

Current pharmacotherapies are limited to patients with biopsy-confirmed NASH and fibrosis. Pioglitazone is a first-line, off-label pharmacologic treatment, while vitamin E may be used in patients with biopsy-confirmed NASH without diabetes. Metformin, glucagonlike peptide–1 receptor agonists, and sodium-glucose transporter 2 inhibitors are either not recommended or have insufficient evidence to recommend their use. More than 60 phase 2 trials are planned or ongoing, Dr. Mantzoros added, with phase trials underway for cenicriviroc, elafibranor, obeticholic acid, and selonsertib.

The role of lifestyle management is also important. “The Mediterranean diet has the best evidence, along with exercise, to improve early stages of NAFLD,” he said. “Weight loss is very important. If the patient loses 10% of their weight or more, there is NASH resolution 90% of the time. With less weight loss, we have less resolution. The problem is that only 10% of patients or less can sustain a more than 90% weight loss over a year.”

Dr. Mantzoros reported being a shareholder of Coherus BioSciences and Pangea Therapeutics, having served as an adviser to Coherus, Novo Nordisk, and Genfit and having received research grants through his institution from Coherus, Eisai, and Novo Nordisk.

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– The way Christos S. Mantzoros, MD, DSc, PhD, sees it, nonalcoholic steatohepatitis (NASH) is an epidemic of the 21st century that can trigger a cascade of reactions.

Doug Brunk/MDedge News
Dr. Christos S. Mantzoros

“If more than 5.8% of fat is in the liver, we call it nonalcoholic fatty liver disease [NAFLD],” Dr. Mantzoros, professor of medicine at Harvard Medical School, Boston, and Boston University, explained at the World Congress on Insulin Resistance, Diabetes, and Cardiovascular Disease. “If inflammation develops to remove the fat, we call it NASH. If this progresses to decompensated reaction and fibrosis and cirrhosis, then we call it nonalcoholic steatohepatitis with fibrosis. That can lead to liver cirrhosis, hepatocellular carcinoma, and liver failure.”

The underlying problem stems from the rise in obesity prevalence, according to Dr. Mantzoros, who is also chief of endocrinology at the Boston Veterans Affairs Healthcare System. For 75%-80% of individuals with metabolically unhealthy obesity, the storage space in their adipose tissue is exceeded. “Fat is deposited into muscle, causing insulin resistance, and into the liver,” he explained. “If it’s more than 5.8%, it causes NAFLD. Most of us don’t realize that most of the patients with diabetes we have in our clinics also have nonalcoholic fatty liver disease. That’s because we don’t have an easy diagnostic tool or an easy treatment. It’s an unmet clinical need.” (There are currently no drugs approved for the treatment of NASH or NAFLD. Current recommended first-line treatment is weight loss through diet and exercise and control of diabetes, if it is present.)

“Assuming the rate of increase in cost due to NAFLD parallels the growth in obesity, the 10-year projection for direct cost is $1.005 trillion,” said Dr. Mantzoros, who is also editor in chief of the journal Metabolism. “Obesity, NAFLD, and insulin resistance are each independently associated with a twofold risk for diabetes. If all three are present, there is a 14-fold risk for diabetes. Insulin resistance promotes an increase in free fatty acid traffic to the liver, which can trigger hepatic lipotoxicity. Hyperinsulinemia enhances free fatty acid uptake and activates de novo lipogenesis. Hyperglycemia can also activate de novo lipogenesis.”

About 85 million Americans have NAFLD, he continued. Most (80%) are cases of steatosis, but 20% have NASH. Of those, 20% develop advanced fibrosis, which leads to liver failure and transplantation or death. A study of data from the National Health and Nutrition Examination Survey found that diabetes was the strongest predictor of advanced fibrosis in patients with NAFLD (odds ratio, 18.20), followed by a body mass index of 30 kg/m2 or greater (OR, 9.10), hypertension (OR, 1.20), and age (OR, 1.08; Ailment Pharmacol Ther. 2017;46:974-80). “Most of the patients who come to our clinics with diabetes have nonalcoholic fatty liver disease – 75%-80% in our clinics, and about 10% have advanced fibrosis,” Dr. Mantzoros said. “Most of them go undiagnosed.”

Patients with type 2 diabetes and NAFLD progress faster to fibrosis and end-stage liver disease, compared with those who do not have diabetes. One study of 108 patients with biopsy-proven NALFD showed that 84% of those with fibrosis progression had type 2 diabetes (J Hepatol. 2015;62:1148-55). Other findings have shown that patients with type 2 diabetes are at increased risk of chronic NAFLD and hepatocellular carcinoma (Gastroenterol. 2001;126:460-8). “We are doing more liver transplantations because of NAFLD and NASH than because of hepatitis C,” Dr. Mantzoros said. “What we need to keep in mind is that, although liver morbidity and mortality is important, this is a component of the cardiometabolic syndrome. So, people have all the risk factors for cardiovascular disease. Because CVD is much more common, people with NAFLD suffer from and die from CVD. The more advanced the NAFLD, the higher the risk of death from cardiovascular disease.”



Multiple risk factors can help identify patients with advanced fibrosis because of NASH, he continued, including having features of the metabolic syndrome, being over 50 years of age, being Hispanic, having high levels of ALT/AST, low platelets, and having low albumin. “These are frequent tests that we can find in the EMR,” Dr. Mantzoros said. “The problem with ALT is that, in many stages of the disease, ALT goes up. But after a certain stage of the disease, when most of the liver is controlled by fibrosis and cirrhosis, most of the hepatocytes are dead and don’t secrete ALT, so ALT in end-stage renal disease goes up.”

Recent guidelines recognize the association between diabetes, NAFLD, and NASH, and call for increased vigilance and screening tests. According to guidelines from the American Association for the Study of Liver Diseases, the Fibrosis-4 Index or the NAFLD Fibrosis Score are clinically useful tools for identifying NAFLD in patients with higher likelihood of having bridging fibrosis or cirrhosis (Hepatology. 2018;67[1]:328-57). Vibration-controlled transient elastography or MRI are clinically useful tools for identifying advanced fibrosis in patients with NAFLD, whereas clinical decision aids, such as Fibrosis-4, NAFLD Fibrosis Score, or vibration-controlled transient elastography, can be used to identify patients at low or high risk for advanced fibrosis.

“If we have a patient with suspected NAFLD, we need to rule out alcohol use, we need to confirm NAFLD, and we need to risk stratify, and classify as low, intermediate, or high risk,” Dr. Mantzoros said. Most of his patients who meet criteria for high-risk NASH do not elect to undergo a liver biopsy. “I don’t blame them for that,” he said. “There is a 0.1 per 1,000 mortality risk, even in the best hands. If 80 million people who have fatty liver were to undergo a liver biopsy, we would have 16,000 deaths every year just because of that. We would not tolerate that.”

Recently, Dr. Mantzoros and colleagues published a proof-of-concept study that proposes novel models using lipids, hormones, and glycans that can diagnose the presence of NASH, NAFLD, or healthy status with high accuracy (Metabolism. 2019 Nov 8. doi: 10.1016/j.metabol.2019.154005). “We are now working with companies to validate it and expand it, not only as a diagnostic marker, but as a prognostic marker, and to try to commercialize it in the future,” he said.

Current pharmacotherapies are limited to patients with biopsy-confirmed NASH and fibrosis. Pioglitazone is a first-line, off-label pharmacologic treatment, while vitamin E may be used in patients with biopsy-confirmed NASH without diabetes. Metformin, glucagonlike peptide–1 receptor agonists, and sodium-glucose transporter 2 inhibitors are either not recommended or have insufficient evidence to recommend their use. More than 60 phase 2 trials are planned or ongoing, Dr. Mantzoros added, with phase trials underway for cenicriviroc, elafibranor, obeticholic acid, and selonsertib.

The role of lifestyle management is also important. “The Mediterranean diet has the best evidence, along with exercise, to improve early stages of NAFLD,” he said. “Weight loss is very important. If the patient loses 10% of their weight or more, there is NASH resolution 90% of the time. With less weight loss, we have less resolution. The problem is that only 10% of patients or less can sustain a more than 90% weight loss over a year.”

Dr. Mantzoros reported being a shareholder of Coherus BioSciences and Pangea Therapeutics, having served as an adviser to Coherus, Novo Nordisk, and Genfit and having received research grants through his institution from Coherus, Eisai, and Novo Nordisk.

– The way Christos S. Mantzoros, MD, DSc, PhD, sees it, nonalcoholic steatohepatitis (NASH) is an epidemic of the 21st century that can trigger a cascade of reactions.

Doug Brunk/MDedge News
Dr. Christos S. Mantzoros

“If more than 5.8% of fat is in the liver, we call it nonalcoholic fatty liver disease [NAFLD],” Dr. Mantzoros, professor of medicine at Harvard Medical School, Boston, and Boston University, explained at the World Congress on Insulin Resistance, Diabetes, and Cardiovascular Disease. “If inflammation develops to remove the fat, we call it NASH. If this progresses to decompensated reaction and fibrosis and cirrhosis, then we call it nonalcoholic steatohepatitis with fibrosis. That can lead to liver cirrhosis, hepatocellular carcinoma, and liver failure.”

The underlying problem stems from the rise in obesity prevalence, according to Dr. Mantzoros, who is also chief of endocrinology at the Boston Veterans Affairs Healthcare System. For 75%-80% of individuals with metabolically unhealthy obesity, the storage space in their adipose tissue is exceeded. “Fat is deposited into muscle, causing insulin resistance, and into the liver,” he explained. “If it’s more than 5.8%, it causes NAFLD. Most of us don’t realize that most of the patients with diabetes we have in our clinics also have nonalcoholic fatty liver disease. That’s because we don’t have an easy diagnostic tool or an easy treatment. It’s an unmet clinical need.” (There are currently no drugs approved for the treatment of NASH or NAFLD. Current recommended first-line treatment is weight loss through diet and exercise and control of diabetes, if it is present.)

“Assuming the rate of increase in cost due to NAFLD parallels the growth in obesity, the 10-year projection for direct cost is $1.005 trillion,” said Dr. Mantzoros, who is also editor in chief of the journal Metabolism. “Obesity, NAFLD, and insulin resistance are each independently associated with a twofold risk for diabetes. If all three are present, there is a 14-fold risk for diabetes. Insulin resistance promotes an increase in free fatty acid traffic to the liver, which can trigger hepatic lipotoxicity. Hyperinsulinemia enhances free fatty acid uptake and activates de novo lipogenesis. Hyperglycemia can also activate de novo lipogenesis.”

About 85 million Americans have NAFLD, he continued. Most (80%) are cases of steatosis, but 20% have NASH. Of those, 20% develop advanced fibrosis, which leads to liver failure and transplantation or death. A study of data from the National Health and Nutrition Examination Survey found that diabetes was the strongest predictor of advanced fibrosis in patients with NAFLD (odds ratio, 18.20), followed by a body mass index of 30 kg/m2 or greater (OR, 9.10), hypertension (OR, 1.20), and age (OR, 1.08; Ailment Pharmacol Ther. 2017;46:974-80). “Most of the patients who come to our clinics with diabetes have nonalcoholic fatty liver disease – 75%-80% in our clinics, and about 10% have advanced fibrosis,” Dr. Mantzoros said. “Most of them go undiagnosed.”

Patients with type 2 diabetes and NAFLD progress faster to fibrosis and end-stage liver disease, compared with those who do not have diabetes. One study of 108 patients with biopsy-proven NALFD showed that 84% of those with fibrosis progression had type 2 diabetes (J Hepatol. 2015;62:1148-55). Other findings have shown that patients with type 2 diabetes are at increased risk of chronic NAFLD and hepatocellular carcinoma (Gastroenterol. 2001;126:460-8). “We are doing more liver transplantations because of NAFLD and NASH than because of hepatitis C,” Dr. Mantzoros said. “What we need to keep in mind is that, although liver morbidity and mortality is important, this is a component of the cardiometabolic syndrome. So, people have all the risk factors for cardiovascular disease. Because CVD is much more common, people with NAFLD suffer from and die from CVD. The more advanced the NAFLD, the higher the risk of death from cardiovascular disease.”



Multiple risk factors can help identify patients with advanced fibrosis because of NASH, he continued, including having features of the metabolic syndrome, being over 50 years of age, being Hispanic, having high levels of ALT/AST, low platelets, and having low albumin. “These are frequent tests that we can find in the EMR,” Dr. Mantzoros said. “The problem with ALT is that, in many stages of the disease, ALT goes up. But after a certain stage of the disease, when most of the liver is controlled by fibrosis and cirrhosis, most of the hepatocytes are dead and don’t secrete ALT, so ALT in end-stage renal disease goes up.”

Recent guidelines recognize the association between diabetes, NAFLD, and NASH, and call for increased vigilance and screening tests. According to guidelines from the American Association for the Study of Liver Diseases, the Fibrosis-4 Index or the NAFLD Fibrosis Score are clinically useful tools for identifying NAFLD in patients with higher likelihood of having bridging fibrosis or cirrhosis (Hepatology. 2018;67[1]:328-57). Vibration-controlled transient elastography or MRI are clinically useful tools for identifying advanced fibrosis in patients with NAFLD, whereas clinical decision aids, such as Fibrosis-4, NAFLD Fibrosis Score, or vibration-controlled transient elastography, can be used to identify patients at low or high risk for advanced fibrosis.

“If we have a patient with suspected NAFLD, we need to rule out alcohol use, we need to confirm NAFLD, and we need to risk stratify, and classify as low, intermediate, or high risk,” Dr. Mantzoros said. Most of his patients who meet criteria for high-risk NASH do not elect to undergo a liver biopsy. “I don’t blame them for that,” he said. “There is a 0.1 per 1,000 mortality risk, even in the best hands. If 80 million people who have fatty liver were to undergo a liver biopsy, we would have 16,000 deaths every year just because of that. We would not tolerate that.”

Recently, Dr. Mantzoros and colleagues published a proof-of-concept study that proposes novel models using lipids, hormones, and glycans that can diagnose the presence of NASH, NAFLD, or healthy status with high accuracy (Metabolism. 2019 Nov 8. doi: 10.1016/j.metabol.2019.154005). “We are now working with companies to validate it and expand it, not only as a diagnostic marker, but as a prognostic marker, and to try to commercialize it in the future,” he said.

Current pharmacotherapies are limited to patients with biopsy-confirmed NASH and fibrosis. Pioglitazone is a first-line, off-label pharmacologic treatment, while vitamin E may be used in patients with biopsy-confirmed NASH without diabetes. Metformin, glucagonlike peptide–1 receptor agonists, and sodium-glucose transporter 2 inhibitors are either not recommended or have insufficient evidence to recommend their use. More than 60 phase 2 trials are planned or ongoing, Dr. Mantzoros added, with phase trials underway for cenicriviroc, elafibranor, obeticholic acid, and selonsertib.

The role of lifestyle management is also important. “The Mediterranean diet has the best evidence, along with exercise, to improve early stages of NAFLD,” he said. “Weight loss is very important. If the patient loses 10% of their weight or more, there is NASH resolution 90% of the time. With less weight loss, we have less resolution. The problem is that only 10% of patients or less can sustain a more than 90% weight loss over a year.”

Dr. Mantzoros reported being a shareholder of Coherus BioSciences and Pangea Therapeutics, having served as an adviser to Coherus, Novo Nordisk, and Genfit and having received research grants through his institution from Coherus, Eisai, and Novo Nordisk.

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Improving Nephropathy Screening in Appalachian Patients With Diabetes Using Practice-Wide Outreach

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Improving Nephropathy Screening in Appalachian Patients With Diabetes Using Practice-Wide Outreach

From West Virginia University, Morgantown, WV.

Abstract

Objective: To describe the strategies a family medicine clinic in Appalachia utilized to increase nephropathy screening rates as well as to explore the factors predictive of nephropathy screening in patients with diabetes.

Design: This quality improvement project targeted the points in the care process when patients are lost to follow-up for nephropathy screening.

Setting and participants: Patients with diabetes cared for by a primary care provider (PCP) at an academic family medicine practice in Appalachia from January 2018 to November 2018.

Interventions: Bulk orders for albumin-to-creatinine (ACR) testing and urine collection during clinic visit, enhanced patient communication through bulk communication reminders and individual patient outreach, and education of clinic providers.

Measurements: Demographic data and monthly nephropathy screening rates.

Results: The nephropathy screening rate increased by 6.2% during the project. Older patients living closer to the clinic who visited their PCP 3 or more times per year were the most likely to be screened.

Conclusion: Combining team-based interventions with quality control monitoring can significantly improve compliance with recommended nephropathy treatment and screening in rural patients with diabetes at a family medicine clinic.

Keywords: rural; kidney disease; albumin-to-creatinine ratio; electronic health record.

 

 

According to the Centers for Disease Control and Prevention (CDC), an estimated 30.3 million people in the United States—about 9.4% of the population—have been diagnosed with diabetes.1 Diabetes is the seventh leading cause of death in the United States, and it contributes to other leading causes of death: heart disease and stroke.1 Diabetes also is related to high morbidity risk and is a leading cause of chronic kidney disease.1 The total cost of diagnosed diabetes was estimated at $327 billion in direct medical costs and reduced productivity.2

Residents of Appalachia bear a disproportionate burden of diabetes and other related negative health outcomes; these outcomes are influenced by a number of factors, including socioeconomic status, poverty, rurality, and health care access. Rates of chronic disease, such as diabetes, are most pronounced in Appalachia’s most economically distressed counties.3-5 In 2011, the CDC labeled a 644-county area the “diabetes belt,” which included most of Appalachia.6 As a result of this elevated prevalence of diabetes in Appalachia as compared to the rest of the country, complications directly associated with diabetes are more commonly observed in Appalachian residents. One of the most damaging complications is diabetic nephropathy.

Diabetic nephropathy results from damage to the microvasculature of the kidney due to inadequately controlled blood glucose. This, in turn, leads to decreased renal function, eventually leading to clinically significant renal disease. The long-term complications associated with nephropathy can include many comorbid conditions, the most serious of which are progression to end-stage renal disease, dialysis requirement, and early mortality. Diabetic nephropathy affects approximately 40% of patients with type 1 and type 2 diabetes.7,8

 

 

One way to prevent complications of diabetic nephropathy, in addition to good glycemic control in patients with diabetes, is early and regular screening. Currently, the American Diabetes Association (ADA) recommends yearly screening for diabetic nephropathy in the form of a urine albumin-to-creatinine ratio (ACR) for patients 18 to 75 years of age.2 This screening to detect diabetic nephropathy is recognized as a marker of quality care by many public and private insurance agencies and medical specialty associations, such as the Centers for Medicare and Medicaid Services.

Many patients with diabetes are cared for by primary care providers (PCP), and these PCP appointments provide an opportune time to screen and appropriately treat nephropathy. Screening opportunities are often missed, however, due to time constraints and competing health priorities. There are also a number of other factors specific to the Appalachian region that reduce the likelihood of screening for diabetic nephropathy, such as a lack of health insurance, the need to travel long distances to see a PCP, work and household responsibilities, low levels of education and health literacy, and a mistrust of outsiders regarding personal matters, including health.9-11 While nephropathy can have a detrimental impact on patients across populations, it is of particular concern for a state located in the heart of Appalachia, such as West Virginia.

Given the disproportionate burden of diabetes in this region and the potentially severe consequences of undetected nephropathy, clinicians from an academic family medicine clinic in West Virginia undertook a quality improvement project to increase the rate of nephropathy screening and treatment among patients with diabetes. This article describes the intervention strategies the team utilized to increase nephropathy screening and treatment in patients 18 to 75 years of age who met quality measures for nephropathy screening or treatment in the previous 12 months and explores the factors most predictive of nephropathy screening in Appalachian patients in this age group. It also reports the challenges and opportunities encountered and offers suggestions for other providers and clinics attempting to increase their nephropathy screening rates.

 

Methods

Setting and Study Population

The study population included patients ages 18 to 75 years under the care of providers in an academic family medicine practice in West Virginia who had been diagnosed with diabetes mellitus. The study focused on those patients overdue for diabetic nephropathy screening (ie, had not been screened in previous 12 months). The project began in January 2018 with a screening rate of 83.8%. The goal of this project was to increase this compliance metric by at least 5%. The project protocol was submitted to the West Virginia University Institutional Review Board, and, because it is a quality improvement project, permission was given to proceed without a board review.

 

 

Interventions

The team identified and implemented several interventions intended to reduce screening barriers and increase the screening rate.

Bulk orders for ACR and urine collection during clinic visits. Prior to initiation of this project, it was left to individual clinic providers to order nephropathy screening for patients with diabetes during a clinic visit; after receiving the order for “random urine microalbumin/creatinine ratio,” patients then had to travel to a lab to provide a urine sample. For this project and moving forward, the team changed to the procedure of initiating bulk ACR orders and collecting urine samples during clinic visits from all patients ages 18 to 75 years who have diabetes.

Bulk communication reminders. Since many patients with diabetes may not have realized they were overdue for nephropathy screening, the team began sending out bulk communication reminders through either the institution’s electronic health record (EHR; MyChart) or postal service–delivered physical letters (according to patient communication preferences) to remind patients that they were due for screening and to encourage them to schedule an appointment or keep a previously scheduled appointment with their PCP.

Individual patient outreach. A team of pharmacy students led by a licensed pharmacist in the family medicine clinic contacted patients overdue for screening even after bulk communication reminders went out. The students telephoned patients 2 to 3 months following the bulk communication. The students obtained an updated list of patients with diabetes ages 18 to 75 years from an EHR quality report. They began by prescreening the patients on the overdue list for potential candidacy for an angiotensin-converting enzyme (ACE) inhibitor or an angiotensin II receptor blocker (ARB). Screening for candidacy included evaluation of recent blood pressure readings, electrolytes (ie, basic metabolic panel), and ACR. If the students determined a patient was a candidate, they presented the patient to the preceptor for verification and then reached out to the provider with a recommendation. If the provider agreed, the student contacted the patient by telephone for medication counseling and education. The remaining patients determined not to be candidates for ACE inhibitors or ARBs were contacted by the pharmacy students by telephone to remind them that laboratory work was pending. Up to 3 phone call attempts were made before patients were determined to be unreachable. Students left voice mails with generic reminders if a patient could not be reached. If a patient answered, the student provided a reminder but also reviewed indications for lab work, the reason why the provider wished for follow-up, and updated lab hours. Students also followed up with the results of the work-up, as appropriate. During this outreach process, the student team encountered a number of patients who had moved or changed to a PCP outside of the family medicine clinic. In these cases, the EHR was updated and those patients were removed from the list of patients altogether.

Education of clinic providers. Clinic providers were educated during faculty and resident meetings and didactic learning sessions on identifying patients within the EHR who are due for nephropathy screening. They also received instruction on how to update the EHR to reflect completed screenings.

Data Analysis

All analyses in this study were conducted using SAS (version 9.4, 2013, SAS Institute Inc., Cary, NC). Descriptive analyses were conducted to summarize basic patient demographic information. To compare patients screened within the previous 12 months to those patients overdue for screening, 2-sample t-tests were used to examine differences in patients’ age, HbA1c, ACR, and creatinine level and the distance (in miles) between the patient’s home and the clinic. Chi-square analyses were used to examine the relationship between whether a patient was recently screened for nephropathy and the patient’s insurance, number of patient visits in the previous 12 months, and provider level. Logistic regression analyses were conducted to control for covariates and to explore which factors were most predictive of nephropathy screening. All tests were 2-tailed, and P values less than 0.05 were considered statistically significant.

 

 

Results

Patient Characteristics

There were 1676 family medicine clinic patients with diabetes between 18 and 75 years of age (Table 1 and Table 2). Of the total sample, 1489 (88.8%) had completed screening for nephropathy in the 12 months prior to evaluation, and 67.5%, 23.7%, and 8.8% of patients had private insurance, Medicare, and Medicaid, respectively.

Characteristics of Patients With Diabetes Ages 18-75 Years Screened Versus Not Screened for Nephropathy (Continuous Variables)

The mean (SD) age of the patients was 56.3 (11.9) years. The mean distance between the patient’s home and the clinic was 26.6 (76.8) miles. The mean number of visits was 3.6 (2.9) per year, and 43.0% of the patientvisited the clinic more than 3 times in a year. The mean values for HbA1c (%), creatinine (g/mol), and ACR (mg/g) were 7.7 (1.9), 1.0 (0.7), and 9.4 (31.4), respectively.

Characteristics of Patients With Diabetes Ages 18-75 Screened Versus Not Screened for Nephropathy (Categorical Variables)

Screening of Patients for Nephropathy

Patients with Medicare and private insurance were more likely to have completed the nephropathy screening than those with Medicaid (92.5% versus 88.8% versus 82.8%, P = 0.004; Table 3 and Table 4).

Differences in Patient Characteristics Between Patients Screened and Not Screened for Nephropathy
Patients with more than 3 visits were more likely to complete the nephropathy screening than those with 3 or fewer visits (94.0% versus 84.9%, P < 0.0001). Patients who completed the nephropathy screening were older (P < 0.0001) and had higher creatinine levels (P = 0.02) than their counterparts who did not complete screening. There were no significant differences in screening success based on HbA1c, ACR, or the distance between the patient’s home and the clinic.
Prevalence of Patient Characteristics in Patients Screened and Not Screened for Nephropathy

Changes in Screening Rate

The practice-wide screening rate was 83.8% at the start of this project in January 2018. The screening rate steadily increased throughout 2018, reaching 90.3% in August 2018, and then leveled off around 90% when the project was concluded at the end of November 2018 (Figure). As an added benefit of the increased screening rates, a number of patients were initiated on an ACE inhibitor or ARB based on the team’s screening efforts.

Nephropathy screening rate over time.

 

Predictors of Nephropathy Screening

A logistic regression analysis was conducted with nephropathy screening (screened or not screened) as the outcome and 7 patient characteristics as predictors: type of insurance (private, Medicare, or Medicaid), PCP visits in the past 12 months (≤ 3 or > 3), distance in miles of the patient’s residence from the clinic, age, last HbA1c value, last ACR value, and last creatinine value. A test of the full model with all 7 predictors was statistically significant (χ2 (8) = 57.77, P < 0.001). Table 5 shows regression coefficients, Wald statistics, and 95% confidence intervals for odds ratios for each of the 7 predictors. According to the Wald criterion, 3 patient characteristics were significant predictors of nephropathy screening: age, distance between the patient’s home and clinic, and number of PCP visits in the past 12 months. After adjusting for the covariates, there were still significant associations between the nephropathy screening status and age ( χ2(1) = 9.64, P < 0.01); distance between the patient’s home and the clinic (χ2(1) = 3.98, P < 0.05); and the number of PCP visits in the previous year (χ2(1) = 21.74, P < 0.001). With each 1-year increment in age, the odds of completing the nephropathy screening increased by 3.2%. With each 1-mile increase in the distance between the patient’s home and clinic, the odds of completing the nephropathy screening decreased by 0.2%. Patients who visited the clinic more than 3 times in a year were 3.9 times (95% confidence interval, 2.2-7.0) more likely to complete the nephropathy screening than their counterparts who visited fewer than 3 times per year.

 

In summary, older patients living within about 164 miles of the clinic (ie, within 1 standard deviation from the average miles between patient’s homes and the clinic) who visited their PCP 3 or more times per year were the most likely to be screened.

Logistic Regression Analysis of Nephropathy Screening as a Function of Patient Characteristics

 

 

Discussion

Diabetic nephropathy is a critical issue facing family medicine providers and patients. The morbidity and mortality costs are significant, as diabetic nephropathy is the leading cause of end-stage renal disease. While the ADA recommends annual ACR screening in patients with diabetes and prescription of ACE inhibitors or ARBs in patients who qualify, many patients do not receive these interventions, despite following up with a provider.12-15 There is no current literature that indicates the compliance rates in the rural setting. Due to health disparities in the rural setting noted in the literature, it could be hypothesized that these individuals are at high risk of not meeting these screening and treatment recommendations.16,17 Limited access to care and resources, gaps in insurance coverage, and lower health literacy are a few barriers identified in the rural population that may influence whether these measures are met.17 

Considering the disease burden of diabetes and its related complications, including nephropathy, consistent screening is necessary to reduce diabetes-related burdens and cost, while also increasing the quality of life for patients with diabetes. All parties must be involved to ensure appropriate compliance and treatment. Our institution’s implementation of quality improvement strategies has key implications for nephropathy screening and treatment efforts in rural settings.

An additional step of having a health care provider (other than the PCP) screen all patients who are not meeting the standard allows for identification of gaps in care. In our quality improvement workflow, the clinical pharmacist screened all patients for candidacy for ACE inhibitor/ARB therapy. While only a small percentage of patients qualified, many of these patients had previously been on therapy and were discontinued for an unknown reason or were stopped due to an acute condition (eg, acute kidney injury) and never restarted after recovery. Other patients required additional education that therapy would be utilized for nephroprotection versus blood pressure management (secondary to an elevated ACR). This highlights the importance of transitions of care and ongoing, intensive education, not only during initial diagnosis but also throughout the disease-state progression.

Utilization of EHRs and telephone outreach are additional aspects of care that can be provided. Our improved rates of compliance with these care interventions parallel findings from previous studies.15,18 Optimization of an institution’s EHR can aid in standardization of care, workflow management, and communication with patients, as well as alert nursing or support staff of screening needs. Techniques such as best practice reminders, patient chart messages, and nursing-entered physician alerts on daily schedules have been shown to increase rates of compliance with nephropathy standards. These findings underscore an additional opportunity for nursing and support staff to be better integrated into care.

Despite the success of this quality improvement initiative, there remain some limitations. The processes we used in this project may not be applicable to every institution and may have limited external validity. Primarily, while these processes may be implemented at some sites, without additional support staff (ie, extra nursing staff, pharmacists) and students to aid in patient outreach, success may be limited due to provider time constraints. Additionally, our workflow process demonstrates significant incorporation of an EHR system for patient outreach. Institutions and/or clinics that heavily rely on paper charts and paper outreach may face barriers with bulk orders (eg, ACR) and messages, interventions that streamlined our population health management. Finally, this project focuses on only 1 aspect of population health management for patients with diabetes. While nephropathy is a critical aspect of caring for individuals with diabetes, this patient outreach does not address retinopathy screening, HbA1c control, or vaccination rates, which are other components of care.

 

 

Conclusion

Although this evaluation does not provide insight into why patients were not treated or screened, it demonstrates processes to improve compliance in patients with diabetic nephropathy. Rural health care facilities require an ongoing program of change and evaluation, with the aim to improve the provision of services, increase screening, and encourage team member involvement in health promotion. This study demonstrates that combining team-based interventions with quality control monitoring can significantly improve compliance with recommended nephropathy screening and treatment in rural patients with diabetes at a family medicine clinic.

Corresponding author: Amie M. Ashcraft, West Virginia University, Department of Family Medicine, 1 Medical Center Drive, Box 9152, Morgantown, WV 26506; [email protected].

Financial disclosures: None.

Acknowledgment: The authors thank the faculty, residents, nurses, and clinic staff for their hard work and dedication to this effort: Umama Sadia, Michelle Prestoza, Richard Dattola, Greg Doyle, Dana King, Mike Maroon, Kendra Under, Judy Siebert, Christine Snyder, Rachel Burge, Meagan Gribble, Lisa Metts, Kelsey Samek, Sarah Deavers, Amber Kitzmiller, Angela Lamp, Tina Waldeck, and Andrea Sukeruksa.

References

1. Centers for Disease Control and Prevention (CDC). National diabetes statistics report. Estimates of diabetes and its burden in the United States. Atlanta, GA: CDC; 2017www.cdc.gov/diabetes/pdfs/data/statistics/national-diabetes-statistics-report.pdf. Accessed December 20, 2020.

2. American Diabetes Association (ADA). Economic costs of diabetes in the U.S. in 2017. Diabetes Care. 2018;41:917-928.

3. Wood L. Trends in national and regional economic distress, 1960-2000. Washington, DC: Appalachian Regional Commission; 2005.

4. Barker L, Crespo R, Gerzoff RB, et al. Residence in a distressed county in Appalachia as a risk factor for diabetes, Behavioral Risk Factor Surveillance System, 2006-2007. Prev Chronic Dis. 2010;7:A104.

5. Barker L, Kirtland KA, Gregg E, et al. Geographic distribution of diagnosed diabetes in the United States: A diabetes belt. Am J Prev Med. 2011;40:434-439.

6. Gross JL, de Azevedo MJ, Silveiro SP, et al. Diabetic nephropathy: Diagnosis, prevention, and treatment. Diabetes Care. 2005;28:164-176.

7. United States Renal Data System (USRDS). Annual data report. Ann Arbor, MI: USRDS; 2018. www.usrds.org/2018/view/Default.aspx. Accessed December 20, 2020.

8. Halverson JA, Bichak G. Underlying socioeconomic factors influencing health disparities in the Appalachian region. Washington, DC: Appalachian Regional Commission; 2008.

9. Shell R, Tudiver F. Barriers to cancer screening by rural Appalachian primary care providers. J Rural Health. 2004;20:368-373.

10. Hatcher J, Dignan MB, Schoenberg N. How do rural health care providers and patients view barriers to colorectal cancer screening? Insights from Appalachian Kentucky. Nurs Clin North Am. 2011;46:181-192.

11. Scott S, McSpirit S. The suspicious, untrusting hillbilly in political-economic contexts: Stereotypes and social trust in the Appalachian coalfields. Pract Anthropol. 2014;36:42-46.

12. Kirkman MS, Williams SR, Caffrey HH, Marrero DG. Impact of a program to improve adherence to diabetes guidelines by primary care physicians. Diabetes Care. 2002;25:1946-1951.

13. Byun SH, Ma SH, Jun JK, et al. Screening for diabetic retinopathy and nephropathy in patients with diabetes: A nationwide survey in Korea. PLoS One. 2013;8:e62991.

14. Flood D, Garcia P, Douglas K, et al. Screening for chronic kidney disease in a community-based diabetes cohort in rural Guatemala: A cross-sectional study. BMJ Open. 2018;8:e019778.

15. Anabtawi A, Mathew LM. Improving compliance with screening of diabetic patients for microalbuminuria in primary care practice. ISRN Endocrinology. 2013:893913.

16. Tonks SA, Makwana S, Salanitro AH, et al. Quality of diabetes mellitus care by rural primary care physicians. J Rural Health. 2012;28:364-371.

17. Douthit N, Kiv S, Dwolatzky T, Biswas S. Exposing some important barriers to health care access in the rural USA. Public Health. 2015;129:611-620.

18. Weber V, Bloom F, Pierdon S, Wood C. Employing the electronic health record to improve diabetes care: a multifaceted intervention in an integrated delivery system. J Gen Intern Med. 2008;23:379-382.

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From West Virginia University, Morgantown, WV.

Abstract

Objective: To describe the strategies a family medicine clinic in Appalachia utilized to increase nephropathy screening rates as well as to explore the factors predictive of nephropathy screening in patients with diabetes.

Design: This quality improvement project targeted the points in the care process when patients are lost to follow-up for nephropathy screening.

Setting and participants: Patients with diabetes cared for by a primary care provider (PCP) at an academic family medicine practice in Appalachia from January 2018 to November 2018.

Interventions: Bulk orders for albumin-to-creatinine (ACR) testing and urine collection during clinic visit, enhanced patient communication through bulk communication reminders and individual patient outreach, and education of clinic providers.

Measurements: Demographic data and monthly nephropathy screening rates.

Results: The nephropathy screening rate increased by 6.2% during the project. Older patients living closer to the clinic who visited their PCP 3 or more times per year were the most likely to be screened.

Conclusion: Combining team-based interventions with quality control monitoring can significantly improve compliance with recommended nephropathy treatment and screening in rural patients with diabetes at a family medicine clinic.

Keywords: rural; kidney disease; albumin-to-creatinine ratio; electronic health record.

 

 

According to the Centers for Disease Control and Prevention (CDC), an estimated 30.3 million people in the United States—about 9.4% of the population—have been diagnosed with diabetes.1 Diabetes is the seventh leading cause of death in the United States, and it contributes to other leading causes of death: heart disease and stroke.1 Diabetes also is related to high morbidity risk and is a leading cause of chronic kidney disease.1 The total cost of diagnosed diabetes was estimated at $327 billion in direct medical costs and reduced productivity.2

Residents of Appalachia bear a disproportionate burden of diabetes and other related negative health outcomes; these outcomes are influenced by a number of factors, including socioeconomic status, poverty, rurality, and health care access. Rates of chronic disease, such as diabetes, are most pronounced in Appalachia’s most economically distressed counties.3-5 In 2011, the CDC labeled a 644-county area the “diabetes belt,” which included most of Appalachia.6 As a result of this elevated prevalence of diabetes in Appalachia as compared to the rest of the country, complications directly associated with diabetes are more commonly observed in Appalachian residents. One of the most damaging complications is diabetic nephropathy.

Diabetic nephropathy results from damage to the microvasculature of the kidney due to inadequately controlled blood glucose. This, in turn, leads to decreased renal function, eventually leading to clinically significant renal disease. The long-term complications associated with nephropathy can include many comorbid conditions, the most serious of which are progression to end-stage renal disease, dialysis requirement, and early mortality. Diabetic nephropathy affects approximately 40% of patients with type 1 and type 2 diabetes.7,8

 

 

One way to prevent complications of diabetic nephropathy, in addition to good glycemic control in patients with diabetes, is early and regular screening. Currently, the American Diabetes Association (ADA) recommends yearly screening for diabetic nephropathy in the form of a urine albumin-to-creatinine ratio (ACR) for patients 18 to 75 years of age.2 This screening to detect diabetic nephropathy is recognized as a marker of quality care by many public and private insurance agencies and medical specialty associations, such as the Centers for Medicare and Medicaid Services.

Many patients with diabetes are cared for by primary care providers (PCP), and these PCP appointments provide an opportune time to screen and appropriately treat nephropathy. Screening opportunities are often missed, however, due to time constraints and competing health priorities. There are also a number of other factors specific to the Appalachian region that reduce the likelihood of screening for diabetic nephropathy, such as a lack of health insurance, the need to travel long distances to see a PCP, work and household responsibilities, low levels of education and health literacy, and a mistrust of outsiders regarding personal matters, including health.9-11 While nephropathy can have a detrimental impact on patients across populations, it is of particular concern for a state located in the heart of Appalachia, such as West Virginia.

Given the disproportionate burden of diabetes in this region and the potentially severe consequences of undetected nephropathy, clinicians from an academic family medicine clinic in West Virginia undertook a quality improvement project to increase the rate of nephropathy screening and treatment among patients with diabetes. This article describes the intervention strategies the team utilized to increase nephropathy screening and treatment in patients 18 to 75 years of age who met quality measures for nephropathy screening or treatment in the previous 12 months and explores the factors most predictive of nephropathy screening in Appalachian patients in this age group. It also reports the challenges and opportunities encountered and offers suggestions for other providers and clinics attempting to increase their nephropathy screening rates.

 

Methods

Setting and Study Population

The study population included patients ages 18 to 75 years under the care of providers in an academic family medicine practice in West Virginia who had been diagnosed with diabetes mellitus. The study focused on those patients overdue for diabetic nephropathy screening (ie, had not been screened in previous 12 months). The project began in January 2018 with a screening rate of 83.8%. The goal of this project was to increase this compliance metric by at least 5%. The project protocol was submitted to the West Virginia University Institutional Review Board, and, because it is a quality improvement project, permission was given to proceed without a board review.

 

 

Interventions

The team identified and implemented several interventions intended to reduce screening barriers and increase the screening rate.

Bulk orders for ACR and urine collection during clinic visits. Prior to initiation of this project, it was left to individual clinic providers to order nephropathy screening for patients with diabetes during a clinic visit; after receiving the order for “random urine microalbumin/creatinine ratio,” patients then had to travel to a lab to provide a urine sample. For this project and moving forward, the team changed to the procedure of initiating bulk ACR orders and collecting urine samples during clinic visits from all patients ages 18 to 75 years who have diabetes.

Bulk communication reminders. Since many patients with diabetes may not have realized they were overdue for nephropathy screening, the team began sending out bulk communication reminders through either the institution’s electronic health record (EHR; MyChart) or postal service–delivered physical letters (according to patient communication preferences) to remind patients that they were due for screening and to encourage them to schedule an appointment or keep a previously scheduled appointment with their PCP.

Individual patient outreach. A team of pharmacy students led by a licensed pharmacist in the family medicine clinic contacted patients overdue for screening even after bulk communication reminders went out. The students telephoned patients 2 to 3 months following the bulk communication. The students obtained an updated list of patients with diabetes ages 18 to 75 years from an EHR quality report. They began by prescreening the patients on the overdue list for potential candidacy for an angiotensin-converting enzyme (ACE) inhibitor or an angiotensin II receptor blocker (ARB). Screening for candidacy included evaluation of recent blood pressure readings, electrolytes (ie, basic metabolic panel), and ACR. If the students determined a patient was a candidate, they presented the patient to the preceptor for verification and then reached out to the provider with a recommendation. If the provider agreed, the student contacted the patient by telephone for medication counseling and education. The remaining patients determined not to be candidates for ACE inhibitors or ARBs were contacted by the pharmacy students by telephone to remind them that laboratory work was pending. Up to 3 phone call attempts were made before patients were determined to be unreachable. Students left voice mails with generic reminders if a patient could not be reached. If a patient answered, the student provided a reminder but also reviewed indications for lab work, the reason why the provider wished for follow-up, and updated lab hours. Students also followed up with the results of the work-up, as appropriate. During this outreach process, the student team encountered a number of patients who had moved or changed to a PCP outside of the family medicine clinic. In these cases, the EHR was updated and those patients were removed from the list of patients altogether.

Education of clinic providers. Clinic providers were educated during faculty and resident meetings and didactic learning sessions on identifying patients within the EHR who are due for nephropathy screening. They also received instruction on how to update the EHR to reflect completed screenings.

Data Analysis

All analyses in this study were conducted using SAS (version 9.4, 2013, SAS Institute Inc., Cary, NC). Descriptive analyses were conducted to summarize basic patient demographic information. To compare patients screened within the previous 12 months to those patients overdue for screening, 2-sample t-tests were used to examine differences in patients’ age, HbA1c, ACR, and creatinine level and the distance (in miles) between the patient’s home and the clinic. Chi-square analyses were used to examine the relationship between whether a patient was recently screened for nephropathy and the patient’s insurance, number of patient visits in the previous 12 months, and provider level. Logistic regression analyses were conducted to control for covariates and to explore which factors were most predictive of nephropathy screening. All tests were 2-tailed, and P values less than 0.05 were considered statistically significant.

 

 

Results

Patient Characteristics

There were 1676 family medicine clinic patients with diabetes between 18 and 75 years of age (Table 1 and Table 2). Of the total sample, 1489 (88.8%) had completed screening for nephropathy in the 12 months prior to evaluation, and 67.5%, 23.7%, and 8.8% of patients had private insurance, Medicare, and Medicaid, respectively.

Characteristics of Patients With Diabetes Ages 18-75 Years Screened Versus Not Screened for Nephropathy (Continuous Variables)

The mean (SD) age of the patients was 56.3 (11.9) years. The mean distance between the patient’s home and the clinic was 26.6 (76.8) miles. The mean number of visits was 3.6 (2.9) per year, and 43.0% of the patientvisited the clinic more than 3 times in a year. The mean values for HbA1c (%), creatinine (g/mol), and ACR (mg/g) were 7.7 (1.9), 1.0 (0.7), and 9.4 (31.4), respectively.

Characteristics of Patients With Diabetes Ages 18-75 Screened Versus Not Screened for Nephropathy (Categorical Variables)

Screening of Patients for Nephropathy

Patients with Medicare and private insurance were more likely to have completed the nephropathy screening than those with Medicaid (92.5% versus 88.8% versus 82.8%, P = 0.004; Table 3 and Table 4).

Differences in Patient Characteristics Between Patients Screened and Not Screened for Nephropathy
Patients with more than 3 visits were more likely to complete the nephropathy screening than those with 3 or fewer visits (94.0% versus 84.9%, P < 0.0001). Patients who completed the nephropathy screening were older (P < 0.0001) and had higher creatinine levels (P = 0.02) than their counterparts who did not complete screening. There were no significant differences in screening success based on HbA1c, ACR, or the distance between the patient’s home and the clinic.
Prevalence of Patient Characteristics in Patients Screened and Not Screened for Nephropathy

Changes in Screening Rate

The practice-wide screening rate was 83.8% at the start of this project in January 2018. The screening rate steadily increased throughout 2018, reaching 90.3% in August 2018, and then leveled off around 90% when the project was concluded at the end of November 2018 (Figure). As an added benefit of the increased screening rates, a number of patients were initiated on an ACE inhibitor or ARB based on the team’s screening efforts.

Nephropathy screening rate over time.

 

Predictors of Nephropathy Screening

A logistic regression analysis was conducted with nephropathy screening (screened or not screened) as the outcome and 7 patient characteristics as predictors: type of insurance (private, Medicare, or Medicaid), PCP visits in the past 12 months (≤ 3 or > 3), distance in miles of the patient’s residence from the clinic, age, last HbA1c value, last ACR value, and last creatinine value. A test of the full model with all 7 predictors was statistically significant (χ2 (8) = 57.77, P < 0.001). Table 5 shows regression coefficients, Wald statistics, and 95% confidence intervals for odds ratios for each of the 7 predictors. According to the Wald criterion, 3 patient characteristics were significant predictors of nephropathy screening: age, distance between the patient’s home and clinic, and number of PCP visits in the past 12 months. After adjusting for the covariates, there were still significant associations between the nephropathy screening status and age ( χ2(1) = 9.64, P < 0.01); distance between the patient’s home and the clinic (χ2(1) = 3.98, P < 0.05); and the number of PCP visits in the previous year (χ2(1) = 21.74, P < 0.001). With each 1-year increment in age, the odds of completing the nephropathy screening increased by 3.2%. With each 1-mile increase in the distance between the patient’s home and clinic, the odds of completing the nephropathy screening decreased by 0.2%. Patients who visited the clinic more than 3 times in a year were 3.9 times (95% confidence interval, 2.2-7.0) more likely to complete the nephropathy screening than their counterparts who visited fewer than 3 times per year.

 

In summary, older patients living within about 164 miles of the clinic (ie, within 1 standard deviation from the average miles between patient’s homes and the clinic) who visited their PCP 3 or more times per year were the most likely to be screened.

Logistic Regression Analysis of Nephropathy Screening as a Function of Patient Characteristics

 

 

Discussion

Diabetic nephropathy is a critical issue facing family medicine providers and patients. The morbidity and mortality costs are significant, as diabetic nephropathy is the leading cause of end-stage renal disease. While the ADA recommends annual ACR screening in patients with diabetes and prescription of ACE inhibitors or ARBs in patients who qualify, many patients do not receive these interventions, despite following up with a provider.12-15 There is no current literature that indicates the compliance rates in the rural setting. Due to health disparities in the rural setting noted in the literature, it could be hypothesized that these individuals are at high risk of not meeting these screening and treatment recommendations.16,17 Limited access to care and resources, gaps in insurance coverage, and lower health literacy are a few barriers identified in the rural population that may influence whether these measures are met.17 

Considering the disease burden of diabetes and its related complications, including nephropathy, consistent screening is necessary to reduce diabetes-related burdens and cost, while also increasing the quality of life for patients with diabetes. All parties must be involved to ensure appropriate compliance and treatment. Our institution’s implementation of quality improvement strategies has key implications for nephropathy screening and treatment efforts in rural settings.

An additional step of having a health care provider (other than the PCP) screen all patients who are not meeting the standard allows for identification of gaps in care. In our quality improvement workflow, the clinical pharmacist screened all patients for candidacy for ACE inhibitor/ARB therapy. While only a small percentage of patients qualified, many of these patients had previously been on therapy and were discontinued for an unknown reason or were stopped due to an acute condition (eg, acute kidney injury) and never restarted after recovery. Other patients required additional education that therapy would be utilized for nephroprotection versus blood pressure management (secondary to an elevated ACR). This highlights the importance of transitions of care and ongoing, intensive education, not only during initial diagnosis but also throughout the disease-state progression.

Utilization of EHRs and telephone outreach are additional aspects of care that can be provided. Our improved rates of compliance with these care interventions parallel findings from previous studies.15,18 Optimization of an institution’s EHR can aid in standardization of care, workflow management, and communication with patients, as well as alert nursing or support staff of screening needs. Techniques such as best practice reminders, patient chart messages, and nursing-entered physician alerts on daily schedules have been shown to increase rates of compliance with nephropathy standards. These findings underscore an additional opportunity for nursing and support staff to be better integrated into care.

Despite the success of this quality improvement initiative, there remain some limitations. The processes we used in this project may not be applicable to every institution and may have limited external validity. Primarily, while these processes may be implemented at some sites, without additional support staff (ie, extra nursing staff, pharmacists) and students to aid in patient outreach, success may be limited due to provider time constraints. Additionally, our workflow process demonstrates significant incorporation of an EHR system for patient outreach. Institutions and/or clinics that heavily rely on paper charts and paper outreach may face barriers with bulk orders (eg, ACR) and messages, interventions that streamlined our population health management. Finally, this project focuses on only 1 aspect of population health management for patients with diabetes. While nephropathy is a critical aspect of caring for individuals with diabetes, this patient outreach does not address retinopathy screening, HbA1c control, or vaccination rates, which are other components of care.

 

 

Conclusion

Although this evaluation does not provide insight into why patients were not treated or screened, it demonstrates processes to improve compliance in patients with diabetic nephropathy. Rural health care facilities require an ongoing program of change and evaluation, with the aim to improve the provision of services, increase screening, and encourage team member involvement in health promotion. This study demonstrates that combining team-based interventions with quality control monitoring can significantly improve compliance with recommended nephropathy screening and treatment in rural patients with diabetes at a family medicine clinic.

Corresponding author: Amie M. Ashcraft, West Virginia University, Department of Family Medicine, 1 Medical Center Drive, Box 9152, Morgantown, WV 26506; [email protected].

Financial disclosures: None.

Acknowledgment: The authors thank the faculty, residents, nurses, and clinic staff for their hard work and dedication to this effort: Umama Sadia, Michelle Prestoza, Richard Dattola, Greg Doyle, Dana King, Mike Maroon, Kendra Under, Judy Siebert, Christine Snyder, Rachel Burge, Meagan Gribble, Lisa Metts, Kelsey Samek, Sarah Deavers, Amber Kitzmiller, Angela Lamp, Tina Waldeck, and Andrea Sukeruksa.

From West Virginia University, Morgantown, WV.

Abstract

Objective: To describe the strategies a family medicine clinic in Appalachia utilized to increase nephropathy screening rates as well as to explore the factors predictive of nephropathy screening in patients with diabetes.

Design: This quality improvement project targeted the points in the care process when patients are lost to follow-up for nephropathy screening.

Setting and participants: Patients with diabetes cared for by a primary care provider (PCP) at an academic family medicine practice in Appalachia from January 2018 to November 2018.

Interventions: Bulk orders for albumin-to-creatinine (ACR) testing and urine collection during clinic visit, enhanced patient communication through bulk communication reminders and individual patient outreach, and education of clinic providers.

Measurements: Demographic data and monthly nephropathy screening rates.

Results: The nephropathy screening rate increased by 6.2% during the project. Older patients living closer to the clinic who visited their PCP 3 or more times per year were the most likely to be screened.

Conclusion: Combining team-based interventions with quality control monitoring can significantly improve compliance with recommended nephropathy treatment and screening in rural patients with diabetes at a family medicine clinic.

Keywords: rural; kidney disease; albumin-to-creatinine ratio; electronic health record.

 

 

According to the Centers for Disease Control and Prevention (CDC), an estimated 30.3 million people in the United States—about 9.4% of the population—have been diagnosed with diabetes.1 Diabetes is the seventh leading cause of death in the United States, and it contributes to other leading causes of death: heart disease and stroke.1 Diabetes also is related to high morbidity risk and is a leading cause of chronic kidney disease.1 The total cost of diagnosed diabetes was estimated at $327 billion in direct medical costs and reduced productivity.2

Residents of Appalachia bear a disproportionate burden of diabetes and other related negative health outcomes; these outcomes are influenced by a number of factors, including socioeconomic status, poverty, rurality, and health care access. Rates of chronic disease, such as diabetes, are most pronounced in Appalachia’s most economically distressed counties.3-5 In 2011, the CDC labeled a 644-county area the “diabetes belt,” which included most of Appalachia.6 As a result of this elevated prevalence of diabetes in Appalachia as compared to the rest of the country, complications directly associated with diabetes are more commonly observed in Appalachian residents. One of the most damaging complications is diabetic nephropathy.

Diabetic nephropathy results from damage to the microvasculature of the kidney due to inadequately controlled blood glucose. This, in turn, leads to decreased renal function, eventually leading to clinically significant renal disease. The long-term complications associated with nephropathy can include many comorbid conditions, the most serious of which are progression to end-stage renal disease, dialysis requirement, and early mortality. Diabetic nephropathy affects approximately 40% of patients with type 1 and type 2 diabetes.7,8

 

 

One way to prevent complications of diabetic nephropathy, in addition to good glycemic control in patients with diabetes, is early and regular screening. Currently, the American Diabetes Association (ADA) recommends yearly screening for diabetic nephropathy in the form of a urine albumin-to-creatinine ratio (ACR) for patients 18 to 75 years of age.2 This screening to detect diabetic nephropathy is recognized as a marker of quality care by many public and private insurance agencies and medical specialty associations, such as the Centers for Medicare and Medicaid Services.

Many patients with diabetes are cared for by primary care providers (PCP), and these PCP appointments provide an opportune time to screen and appropriately treat nephropathy. Screening opportunities are often missed, however, due to time constraints and competing health priorities. There are also a number of other factors specific to the Appalachian region that reduce the likelihood of screening for diabetic nephropathy, such as a lack of health insurance, the need to travel long distances to see a PCP, work and household responsibilities, low levels of education and health literacy, and a mistrust of outsiders regarding personal matters, including health.9-11 While nephropathy can have a detrimental impact on patients across populations, it is of particular concern for a state located in the heart of Appalachia, such as West Virginia.

Given the disproportionate burden of diabetes in this region and the potentially severe consequences of undetected nephropathy, clinicians from an academic family medicine clinic in West Virginia undertook a quality improvement project to increase the rate of nephropathy screening and treatment among patients with diabetes. This article describes the intervention strategies the team utilized to increase nephropathy screening and treatment in patients 18 to 75 years of age who met quality measures for nephropathy screening or treatment in the previous 12 months and explores the factors most predictive of nephropathy screening in Appalachian patients in this age group. It also reports the challenges and opportunities encountered and offers suggestions for other providers and clinics attempting to increase their nephropathy screening rates.

 

Methods

Setting and Study Population

The study population included patients ages 18 to 75 years under the care of providers in an academic family medicine practice in West Virginia who had been diagnosed with diabetes mellitus. The study focused on those patients overdue for diabetic nephropathy screening (ie, had not been screened in previous 12 months). The project began in January 2018 with a screening rate of 83.8%. The goal of this project was to increase this compliance metric by at least 5%. The project protocol was submitted to the West Virginia University Institutional Review Board, and, because it is a quality improvement project, permission was given to proceed without a board review.

 

 

Interventions

The team identified and implemented several interventions intended to reduce screening barriers and increase the screening rate.

Bulk orders for ACR and urine collection during clinic visits. Prior to initiation of this project, it was left to individual clinic providers to order nephropathy screening for patients with diabetes during a clinic visit; after receiving the order for “random urine microalbumin/creatinine ratio,” patients then had to travel to a lab to provide a urine sample. For this project and moving forward, the team changed to the procedure of initiating bulk ACR orders and collecting urine samples during clinic visits from all patients ages 18 to 75 years who have diabetes.

Bulk communication reminders. Since many patients with diabetes may not have realized they were overdue for nephropathy screening, the team began sending out bulk communication reminders through either the institution’s electronic health record (EHR; MyChart) or postal service–delivered physical letters (according to patient communication preferences) to remind patients that they were due for screening and to encourage them to schedule an appointment or keep a previously scheduled appointment with their PCP.

Individual patient outreach. A team of pharmacy students led by a licensed pharmacist in the family medicine clinic contacted patients overdue for screening even after bulk communication reminders went out. The students telephoned patients 2 to 3 months following the bulk communication. The students obtained an updated list of patients with diabetes ages 18 to 75 years from an EHR quality report. They began by prescreening the patients on the overdue list for potential candidacy for an angiotensin-converting enzyme (ACE) inhibitor or an angiotensin II receptor blocker (ARB). Screening for candidacy included evaluation of recent blood pressure readings, electrolytes (ie, basic metabolic panel), and ACR. If the students determined a patient was a candidate, they presented the patient to the preceptor for verification and then reached out to the provider with a recommendation. If the provider agreed, the student contacted the patient by telephone for medication counseling and education. The remaining patients determined not to be candidates for ACE inhibitors or ARBs were contacted by the pharmacy students by telephone to remind them that laboratory work was pending. Up to 3 phone call attempts were made before patients were determined to be unreachable. Students left voice mails with generic reminders if a patient could not be reached. If a patient answered, the student provided a reminder but also reviewed indications for lab work, the reason why the provider wished for follow-up, and updated lab hours. Students also followed up with the results of the work-up, as appropriate. During this outreach process, the student team encountered a number of patients who had moved or changed to a PCP outside of the family medicine clinic. In these cases, the EHR was updated and those patients were removed from the list of patients altogether.

Education of clinic providers. Clinic providers were educated during faculty and resident meetings and didactic learning sessions on identifying patients within the EHR who are due for nephropathy screening. They also received instruction on how to update the EHR to reflect completed screenings.

Data Analysis

All analyses in this study were conducted using SAS (version 9.4, 2013, SAS Institute Inc., Cary, NC). Descriptive analyses were conducted to summarize basic patient demographic information. To compare patients screened within the previous 12 months to those patients overdue for screening, 2-sample t-tests were used to examine differences in patients’ age, HbA1c, ACR, and creatinine level and the distance (in miles) between the patient’s home and the clinic. Chi-square analyses were used to examine the relationship between whether a patient was recently screened for nephropathy and the patient’s insurance, number of patient visits in the previous 12 months, and provider level. Logistic regression analyses were conducted to control for covariates and to explore which factors were most predictive of nephropathy screening. All tests were 2-tailed, and P values less than 0.05 were considered statistically significant.

 

 

Results

Patient Characteristics

There were 1676 family medicine clinic patients with diabetes between 18 and 75 years of age (Table 1 and Table 2). Of the total sample, 1489 (88.8%) had completed screening for nephropathy in the 12 months prior to evaluation, and 67.5%, 23.7%, and 8.8% of patients had private insurance, Medicare, and Medicaid, respectively.

Characteristics of Patients With Diabetes Ages 18-75 Years Screened Versus Not Screened for Nephropathy (Continuous Variables)

The mean (SD) age of the patients was 56.3 (11.9) years. The mean distance between the patient’s home and the clinic was 26.6 (76.8) miles. The mean number of visits was 3.6 (2.9) per year, and 43.0% of the patientvisited the clinic more than 3 times in a year. The mean values for HbA1c (%), creatinine (g/mol), and ACR (mg/g) were 7.7 (1.9), 1.0 (0.7), and 9.4 (31.4), respectively.

Characteristics of Patients With Diabetes Ages 18-75 Screened Versus Not Screened for Nephropathy (Categorical Variables)

Screening of Patients for Nephropathy

Patients with Medicare and private insurance were more likely to have completed the nephropathy screening than those with Medicaid (92.5% versus 88.8% versus 82.8%, P = 0.004; Table 3 and Table 4).

Differences in Patient Characteristics Between Patients Screened and Not Screened for Nephropathy
Patients with more than 3 visits were more likely to complete the nephropathy screening than those with 3 or fewer visits (94.0% versus 84.9%, P < 0.0001). Patients who completed the nephropathy screening were older (P < 0.0001) and had higher creatinine levels (P = 0.02) than their counterparts who did not complete screening. There were no significant differences in screening success based on HbA1c, ACR, or the distance between the patient’s home and the clinic.
Prevalence of Patient Characteristics in Patients Screened and Not Screened for Nephropathy

Changes in Screening Rate

The practice-wide screening rate was 83.8% at the start of this project in January 2018. The screening rate steadily increased throughout 2018, reaching 90.3% in August 2018, and then leveled off around 90% when the project was concluded at the end of November 2018 (Figure). As an added benefit of the increased screening rates, a number of patients were initiated on an ACE inhibitor or ARB based on the team’s screening efforts.

Nephropathy screening rate over time.

 

Predictors of Nephropathy Screening

A logistic regression analysis was conducted with nephropathy screening (screened or not screened) as the outcome and 7 patient characteristics as predictors: type of insurance (private, Medicare, or Medicaid), PCP visits in the past 12 months (≤ 3 or > 3), distance in miles of the patient’s residence from the clinic, age, last HbA1c value, last ACR value, and last creatinine value. A test of the full model with all 7 predictors was statistically significant (χ2 (8) = 57.77, P < 0.001). Table 5 shows regression coefficients, Wald statistics, and 95% confidence intervals for odds ratios for each of the 7 predictors. According to the Wald criterion, 3 patient characteristics were significant predictors of nephropathy screening: age, distance between the patient’s home and clinic, and number of PCP visits in the past 12 months. After adjusting for the covariates, there were still significant associations between the nephropathy screening status and age ( χ2(1) = 9.64, P < 0.01); distance between the patient’s home and the clinic (χ2(1) = 3.98, P < 0.05); and the number of PCP visits in the previous year (χ2(1) = 21.74, P < 0.001). With each 1-year increment in age, the odds of completing the nephropathy screening increased by 3.2%. With each 1-mile increase in the distance between the patient’s home and clinic, the odds of completing the nephropathy screening decreased by 0.2%. Patients who visited the clinic more than 3 times in a year were 3.9 times (95% confidence interval, 2.2-7.0) more likely to complete the nephropathy screening than their counterparts who visited fewer than 3 times per year.

 

In summary, older patients living within about 164 miles of the clinic (ie, within 1 standard deviation from the average miles between patient’s homes and the clinic) who visited their PCP 3 or more times per year were the most likely to be screened.

Logistic Regression Analysis of Nephropathy Screening as a Function of Patient Characteristics

 

 

Discussion

Diabetic nephropathy is a critical issue facing family medicine providers and patients. The morbidity and mortality costs are significant, as diabetic nephropathy is the leading cause of end-stage renal disease. While the ADA recommends annual ACR screening in patients with diabetes and prescription of ACE inhibitors or ARBs in patients who qualify, many patients do not receive these interventions, despite following up with a provider.12-15 There is no current literature that indicates the compliance rates in the rural setting. Due to health disparities in the rural setting noted in the literature, it could be hypothesized that these individuals are at high risk of not meeting these screening and treatment recommendations.16,17 Limited access to care and resources, gaps in insurance coverage, and lower health literacy are a few barriers identified in the rural population that may influence whether these measures are met.17 

Considering the disease burden of diabetes and its related complications, including nephropathy, consistent screening is necessary to reduce diabetes-related burdens and cost, while also increasing the quality of life for patients with diabetes. All parties must be involved to ensure appropriate compliance and treatment. Our institution’s implementation of quality improvement strategies has key implications for nephropathy screening and treatment efforts in rural settings.

An additional step of having a health care provider (other than the PCP) screen all patients who are not meeting the standard allows for identification of gaps in care. In our quality improvement workflow, the clinical pharmacist screened all patients for candidacy for ACE inhibitor/ARB therapy. While only a small percentage of patients qualified, many of these patients had previously been on therapy and were discontinued for an unknown reason or were stopped due to an acute condition (eg, acute kidney injury) and never restarted after recovery. Other patients required additional education that therapy would be utilized for nephroprotection versus blood pressure management (secondary to an elevated ACR). This highlights the importance of transitions of care and ongoing, intensive education, not only during initial diagnosis but also throughout the disease-state progression.

Utilization of EHRs and telephone outreach are additional aspects of care that can be provided. Our improved rates of compliance with these care interventions parallel findings from previous studies.15,18 Optimization of an institution’s EHR can aid in standardization of care, workflow management, and communication with patients, as well as alert nursing or support staff of screening needs. Techniques such as best practice reminders, patient chart messages, and nursing-entered physician alerts on daily schedules have been shown to increase rates of compliance with nephropathy standards. These findings underscore an additional opportunity for nursing and support staff to be better integrated into care.

Despite the success of this quality improvement initiative, there remain some limitations. The processes we used in this project may not be applicable to every institution and may have limited external validity. Primarily, while these processes may be implemented at some sites, without additional support staff (ie, extra nursing staff, pharmacists) and students to aid in patient outreach, success may be limited due to provider time constraints. Additionally, our workflow process demonstrates significant incorporation of an EHR system for patient outreach. Institutions and/or clinics that heavily rely on paper charts and paper outreach may face barriers with bulk orders (eg, ACR) and messages, interventions that streamlined our population health management. Finally, this project focuses on only 1 aspect of population health management for patients with diabetes. While nephropathy is a critical aspect of caring for individuals with diabetes, this patient outreach does not address retinopathy screening, HbA1c control, or vaccination rates, which are other components of care.

 

 

Conclusion

Although this evaluation does not provide insight into why patients were not treated or screened, it demonstrates processes to improve compliance in patients with diabetic nephropathy. Rural health care facilities require an ongoing program of change and evaluation, with the aim to improve the provision of services, increase screening, and encourage team member involvement in health promotion. This study demonstrates that combining team-based interventions with quality control monitoring can significantly improve compliance with recommended nephropathy screening and treatment in rural patients with diabetes at a family medicine clinic.

Corresponding author: Amie M. Ashcraft, West Virginia University, Department of Family Medicine, 1 Medical Center Drive, Box 9152, Morgantown, WV 26506; [email protected].

Financial disclosures: None.

Acknowledgment: The authors thank the faculty, residents, nurses, and clinic staff for their hard work and dedication to this effort: Umama Sadia, Michelle Prestoza, Richard Dattola, Greg Doyle, Dana King, Mike Maroon, Kendra Under, Judy Siebert, Christine Snyder, Rachel Burge, Meagan Gribble, Lisa Metts, Kelsey Samek, Sarah Deavers, Amber Kitzmiller, Angela Lamp, Tina Waldeck, and Andrea Sukeruksa.

References

1. Centers for Disease Control and Prevention (CDC). National diabetes statistics report. Estimates of diabetes and its burden in the United States. Atlanta, GA: CDC; 2017www.cdc.gov/diabetes/pdfs/data/statistics/national-diabetes-statistics-report.pdf. Accessed December 20, 2020.

2. American Diabetes Association (ADA). Economic costs of diabetes in the U.S. in 2017. Diabetes Care. 2018;41:917-928.

3. Wood L. Trends in national and regional economic distress, 1960-2000. Washington, DC: Appalachian Regional Commission; 2005.

4. Barker L, Crespo R, Gerzoff RB, et al. Residence in a distressed county in Appalachia as a risk factor for diabetes, Behavioral Risk Factor Surveillance System, 2006-2007. Prev Chronic Dis. 2010;7:A104.

5. Barker L, Kirtland KA, Gregg E, et al. Geographic distribution of diagnosed diabetes in the United States: A diabetes belt. Am J Prev Med. 2011;40:434-439.

6. Gross JL, de Azevedo MJ, Silveiro SP, et al. Diabetic nephropathy: Diagnosis, prevention, and treatment. Diabetes Care. 2005;28:164-176.

7. United States Renal Data System (USRDS). Annual data report. Ann Arbor, MI: USRDS; 2018. www.usrds.org/2018/view/Default.aspx. Accessed December 20, 2020.

8. Halverson JA, Bichak G. Underlying socioeconomic factors influencing health disparities in the Appalachian region. Washington, DC: Appalachian Regional Commission; 2008.

9. Shell R, Tudiver F. Barriers to cancer screening by rural Appalachian primary care providers. J Rural Health. 2004;20:368-373.

10. Hatcher J, Dignan MB, Schoenberg N. How do rural health care providers and patients view barriers to colorectal cancer screening? Insights from Appalachian Kentucky. Nurs Clin North Am. 2011;46:181-192.

11. Scott S, McSpirit S. The suspicious, untrusting hillbilly in political-economic contexts: Stereotypes and social trust in the Appalachian coalfields. Pract Anthropol. 2014;36:42-46.

12. Kirkman MS, Williams SR, Caffrey HH, Marrero DG. Impact of a program to improve adherence to diabetes guidelines by primary care physicians. Diabetes Care. 2002;25:1946-1951.

13. Byun SH, Ma SH, Jun JK, et al. Screening for diabetic retinopathy and nephropathy in patients with diabetes: A nationwide survey in Korea. PLoS One. 2013;8:e62991.

14. Flood D, Garcia P, Douglas K, et al. Screening for chronic kidney disease in a community-based diabetes cohort in rural Guatemala: A cross-sectional study. BMJ Open. 2018;8:e019778.

15. Anabtawi A, Mathew LM. Improving compliance with screening of diabetic patients for microalbuminuria in primary care practice. ISRN Endocrinology. 2013:893913.

16. Tonks SA, Makwana S, Salanitro AH, et al. Quality of diabetes mellitus care by rural primary care physicians. J Rural Health. 2012;28:364-371.

17. Douthit N, Kiv S, Dwolatzky T, Biswas S. Exposing some important barriers to health care access in the rural USA. Public Health. 2015;129:611-620.

18. Weber V, Bloom F, Pierdon S, Wood C. Employing the electronic health record to improve diabetes care: a multifaceted intervention in an integrated delivery system. J Gen Intern Med. 2008;23:379-382.

References

1. Centers for Disease Control and Prevention (CDC). National diabetes statistics report. Estimates of diabetes and its burden in the United States. Atlanta, GA: CDC; 2017www.cdc.gov/diabetes/pdfs/data/statistics/national-diabetes-statistics-report.pdf. Accessed December 20, 2020.

2. American Diabetes Association (ADA). Economic costs of diabetes in the U.S. in 2017. Diabetes Care. 2018;41:917-928.

3. Wood L. Trends in national and regional economic distress, 1960-2000. Washington, DC: Appalachian Regional Commission; 2005.

4. Barker L, Crespo R, Gerzoff RB, et al. Residence in a distressed county in Appalachia as a risk factor for diabetes, Behavioral Risk Factor Surveillance System, 2006-2007. Prev Chronic Dis. 2010;7:A104.

5. Barker L, Kirtland KA, Gregg E, et al. Geographic distribution of diagnosed diabetes in the United States: A diabetes belt. Am J Prev Med. 2011;40:434-439.

6. Gross JL, de Azevedo MJ, Silveiro SP, et al. Diabetic nephropathy: Diagnosis, prevention, and treatment. Diabetes Care. 2005;28:164-176.

7. United States Renal Data System (USRDS). Annual data report. Ann Arbor, MI: USRDS; 2018. www.usrds.org/2018/view/Default.aspx. Accessed December 20, 2020.

8. Halverson JA, Bichak G. Underlying socioeconomic factors influencing health disparities in the Appalachian region. Washington, DC: Appalachian Regional Commission; 2008.

9. Shell R, Tudiver F. Barriers to cancer screening by rural Appalachian primary care providers. J Rural Health. 2004;20:368-373.

10. Hatcher J, Dignan MB, Schoenberg N. How do rural health care providers and patients view barriers to colorectal cancer screening? Insights from Appalachian Kentucky. Nurs Clin North Am. 2011;46:181-192.

11. Scott S, McSpirit S. The suspicious, untrusting hillbilly in political-economic contexts: Stereotypes and social trust in the Appalachian coalfields. Pract Anthropol. 2014;36:42-46.

12. Kirkman MS, Williams SR, Caffrey HH, Marrero DG. Impact of a program to improve adherence to diabetes guidelines by primary care physicians. Diabetes Care. 2002;25:1946-1951.

13. Byun SH, Ma SH, Jun JK, et al. Screening for diabetic retinopathy and nephropathy in patients with diabetes: A nationwide survey in Korea. PLoS One. 2013;8:e62991.

14. Flood D, Garcia P, Douglas K, et al. Screening for chronic kidney disease in a community-based diabetes cohort in rural Guatemala: A cross-sectional study. BMJ Open. 2018;8:e019778.

15. Anabtawi A, Mathew LM. Improving compliance with screening of diabetic patients for microalbuminuria in primary care practice. ISRN Endocrinology. 2013:893913.

16. Tonks SA, Makwana S, Salanitro AH, et al. Quality of diabetes mellitus care by rural primary care physicians. J Rural Health. 2012;28:364-371.

17. Douthit N, Kiv S, Dwolatzky T, Biswas S. Exposing some important barriers to health care access in the rural USA. Public Health. 2015;129:611-620.

18. Weber V, Bloom F, Pierdon S, Wood C. Employing the electronic health record to improve diabetes care: a multifaceted intervention in an integrated delivery system. J Gen Intern Med. 2008;23:379-382.

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Noninjectable modes of insulin delivery coming of age

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– Injections may be the most common way for patients with diabetes to take insulin, but other modes of delivery are coming of age.

Doug Brunk/MDedge News
Dr. George Grunberger

George Grunberger, MD, chairman of the Grunberger Diabetes Institute in Bloomfield Township, Mich., said that at least seven different agents that are being studied for the oral delivery of biologics for diabetes.

He outlined several at the World Congress on Insulin Resistance, Diabetes & Cardiovascular Disease.
 

Oral insulin

ORMD-0801 from Oramed is an oral insulin capsule that prevents enzyme degradation and enhances intestinal absorption. Top-line, unpublished findings from a phase 2 study, which the company announced in November 2019, showed that ORMD-0801 significantly reduced hemoglobin A1c levels in patients with type 2 diabetes who were inadequately controlled on other standard-of-care drugs. ORMD-0801 dosed once daily reduced HbA1c by 0.60%, compared with 0.06% by placebo. “We’ll see when it’s going to wind up in the clinic,” Dr. Grunberger said. Oramed is also developing an oral glucagonlike peptide–1 analogue capsule, ORMD-0901, which has potential to be the first orally ingestible GLP-1 analogue.

Inhaled and absorbed insulin

Technosphere insulin (Affreza) is a novel inhalation powder for the treatment of diabetes that was developed by MannKind and approved by the Food and Drug Administration in 2014. Clinical studies have shown that Technosphere insulin delivers insulin with an ultrarapid pharmacokinetic profile that is different from all other insulin products, but similar to natural insulin release. “The idea was to develop a more patient-friendly device to deliver insulin directly into the lungs,” said Dr. Grunberger, who is also a clinical professor of internal medicine and molecular medicine and genetics at Wayne State University, Detroit. “When you inhale this into the lungs, there is one cell layer between the air sac and the circulation, so it works very quickly. The idea is to try to avoid injecting insulin to see if it helps. This is a prandial insulin – you inhale it before meals. The whole idea is that hopefully, you can reduce any fear of delayed postprandial hyperglycemia.”

In a randomized trial of 353 patients with inadequately controlled type 2 diabetes, those in the Technosphere insulin arm significantly reduced HbA1c by 0.8% from a baseline of 8.3%, compared with the placebo arm, which was reduced by 0.4% (P less than .0001; Diabetes Care. 2015;38[12]:2274-81). A greater number of patients treated with Technosphere insulin achieved an HbA1c of 7.0% or less, compared with placebo (38% vs. 19%; P = .0005). Dr. Grunberger noted that, in clinical trials lasting up to 2 years, patients treated with Technosphere insulin had a 40-mL greater decline from baseline in forced expiratory volume in 1 second (FEV1 ), compared with patients treated with comparator antidiabetes treatments. “But once you stop using the drug, FEV1 reverts to normal,” he said. “So, there does not appear to be lasting damage to your lungs and respiratory ability.”

In another development, Oral-Lyn from Generex Biotechnology, which delivers insulin through the oral mucosa, is being evaluated as a potential treatment option. In 2015, Generex partnered with the University of Toronto’s Center for Molecular Design and Preformulations to increase the bioavailability of insulin in the product and to reduce the number of sprays required to achieve effective prandial glucose control. In 2019, the company formed the NuGenerex Diabetes Research Center, which intended to accelerate the development of the reformulated Oral-Lyn-2, for type 2 diabetes, and Altsulin, for the treatment of type 1 diabetes. The programs are expected to initiate in the first quarter of 2020.

In the meantime, studies of intranasally delivered insulin continue to advance. “It works. It lowers glucose, but there is a whole slew of knowledge now about how it can also improve neurocognitive function,” Dr. Grunberger said.
 

 

 

Oral GLP-1 receptor agonists

Oral versions of glucagonlike peptide–1 (GLP-1) receptor agonists are also emerging as a treatment option. The FDA recently approved the first oral GLP-1 receptor agonist, semaglutide bound in the absorption enhancer sodium N‐(8‐[2‐hydroxybenzoyl] amino) caprylate (SNAC). According to data from manufacturer Novo Nordisk, SNAC facilitates local increase of pH, which leads to a higher solubility. SNAC interacts with cell membranes of gastric mucosa, facilitating absorption within 30 minutes, “so the drug can penetrate the mucosa without lasting damage,” Dr. Grunberger said. The SNAC effect is size dependent and fully reversible.

In PIONEER 3, researchers found that, in adults with type 2 diabetes uncontrolled with metformin with or without sulfonylurea, oral semaglutide at dosages of 7 and 14 mg/day resulted in significantly greater reductions in HbA1c over 26 weeks, compared with sitagliptin, but there was no significant benefit with the 3-mg/d dosage (JAMA. 2019;321[15]:1466-80). In PIONEER 4, researchers compared the efficacy and safety of oral semaglutide with subcutaneous liraglutide (Lancet. 2019;394[10192]:P39-50). “There was no difference in HbA1c effect between the two groups, but oral semaglutide beat out sitagliptin in terms of weight loss,” Dr. Grunberger said. “It’s going to be interesting to see what’s going to happen in the marketplace as the drug gets widely launched.”
 

Nasal glucagon

He closed out his presentation by discussing the July 2019 FDA approval of Eli Lilly’s nasal glucagon for severe hypoglycemia – the first such treatment that can be administered without an injection. The nasally administered dry powder, known as Baqsimi, is a welcome alternative to current glucagon kits, “which contain multiple components,” said Dr. Grunberger, who is also a past president of the American Association of Clinical Endocrinologists. An adult pivotal study showed that supraphysiologic levels of glucagon were achieved within 5 minutes with both nasal and intramuscular glucagon (Diabetes Care. 2016;39[2]:264-70). Headache and nasal symptoms occurred more frequently with nasal glucagon, but most were resolved within 1 day. In addition, nausea and vomiting occurred at similar frequencies with nasal and intramuscular glucacon, and most cases were resolved within 1 day.

Similar results were observed in a pediatric study of 48 patients with type 1 diabetes who were older than 4 years, (Diabetes Care. 2016;39[4]:555-62).

Dr. Grunberger disclosed that has research contracts with Medtronic and Eli Lilly, and that he serves on speakers bureaus of Eli Lilly, Janssen, Novo Nordisk, and Sanofi.

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– Injections may be the most common way for patients with diabetes to take insulin, but other modes of delivery are coming of age.

Doug Brunk/MDedge News
Dr. George Grunberger

George Grunberger, MD, chairman of the Grunberger Diabetes Institute in Bloomfield Township, Mich., said that at least seven different agents that are being studied for the oral delivery of biologics for diabetes.

He outlined several at the World Congress on Insulin Resistance, Diabetes & Cardiovascular Disease.
 

Oral insulin

ORMD-0801 from Oramed is an oral insulin capsule that prevents enzyme degradation and enhances intestinal absorption. Top-line, unpublished findings from a phase 2 study, which the company announced in November 2019, showed that ORMD-0801 significantly reduced hemoglobin A1c levels in patients with type 2 diabetes who were inadequately controlled on other standard-of-care drugs. ORMD-0801 dosed once daily reduced HbA1c by 0.60%, compared with 0.06% by placebo. “We’ll see when it’s going to wind up in the clinic,” Dr. Grunberger said. Oramed is also developing an oral glucagonlike peptide–1 analogue capsule, ORMD-0901, which has potential to be the first orally ingestible GLP-1 analogue.

Inhaled and absorbed insulin

Technosphere insulin (Affreza) is a novel inhalation powder for the treatment of diabetes that was developed by MannKind and approved by the Food and Drug Administration in 2014. Clinical studies have shown that Technosphere insulin delivers insulin with an ultrarapid pharmacokinetic profile that is different from all other insulin products, but similar to natural insulin release. “The idea was to develop a more patient-friendly device to deliver insulin directly into the lungs,” said Dr. Grunberger, who is also a clinical professor of internal medicine and molecular medicine and genetics at Wayne State University, Detroit. “When you inhale this into the lungs, there is one cell layer between the air sac and the circulation, so it works very quickly. The idea is to try to avoid injecting insulin to see if it helps. This is a prandial insulin – you inhale it before meals. The whole idea is that hopefully, you can reduce any fear of delayed postprandial hyperglycemia.”

In a randomized trial of 353 patients with inadequately controlled type 2 diabetes, those in the Technosphere insulin arm significantly reduced HbA1c by 0.8% from a baseline of 8.3%, compared with the placebo arm, which was reduced by 0.4% (P less than .0001; Diabetes Care. 2015;38[12]:2274-81). A greater number of patients treated with Technosphere insulin achieved an HbA1c of 7.0% or less, compared with placebo (38% vs. 19%; P = .0005). Dr. Grunberger noted that, in clinical trials lasting up to 2 years, patients treated with Technosphere insulin had a 40-mL greater decline from baseline in forced expiratory volume in 1 second (FEV1 ), compared with patients treated with comparator antidiabetes treatments. “But once you stop using the drug, FEV1 reverts to normal,” he said. “So, there does not appear to be lasting damage to your lungs and respiratory ability.”

In another development, Oral-Lyn from Generex Biotechnology, which delivers insulin through the oral mucosa, is being evaluated as a potential treatment option. In 2015, Generex partnered with the University of Toronto’s Center for Molecular Design and Preformulations to increase the bioavailability of insulin in the product and to reduce the number of sprays required to achieve effective prandial glucose control. In 2019, the company formed the NuGenerex Diabetes Research Center, which intended to accelerate the development of the reformulated Oral-Lyn-2, for type 2 diabetes, and Altsulin, for the treatment of type 1 diabetes. The programs are expected to initiate in the first quarter of 2020.

In the meantime, studies of intranasally delivered insulin continue to advance. “It works. It lowers glucose, but there is a whole slew of knowledge now about how it can also improve neurocognitive function,” Dr. Grunberger said.
 

 

 

Oral GLP-1 receptor agonists

Oral versions of glucagonlike peptide–1 (GLP-1) receptor agonists are also emerging as a treatment option. The FDA recently approved the first oral GLP-1 receptor agonist, semaglutide bound in the absorption enhancer sodium N‐(8‐[2‐hydroxybenzoyl] amino) caprylate (SNAC). According to data from manufacturer Novo Nordisk, SNAC facilitates local increase of pH, which leads to a higher solubility. SNAC interacts with cell membranes of gastric mucosa, facilitating absorption within 30 minutes, “so the drug can penetrate the mucosa without lasting damage,” Dr. Grunberger said. The SNAC effect is size dependent and fully reversible.

In PIONEER 3, researchers found that, in adults with type 2 diabetes uncontrolled with metformin with or without sulfonylurea, oral semaglutide at dosages of 7 and 14 mg/day resulted in significantly greater reductions in HbA1c over 26 weeks, compared with sitagliptin, but there was no significant benefit with the 3-mg/d dosage (JAMA. 2019;321[15]:1466-80). In PIONEER 4, researchers compared the efficacy and safety of oral semaglutide with subcutaneous liraglutide (Lancet. 2019;394[10192]:P39-50). “There was no difference in HbA1c effect between the two groups, but oral semaglutide beat out sitagliptin in terms of weight loss,” Dr. Grunberger said. “It’s going to be interesting to see what’s going to happen in the marketplace as the drug gets widely launched.”
 

Nasal glucagon

He closed out his presentation by discussing the July 2019 FDA approval of Eli Lilly’s nasal glucagon for severe hypoglycemia – the first such treatment that can be administered without an injection. The nasally administered dry powder, known as Baqsimi, is a welcome alternative to current glucagon kits, “which contain multiple components,” said Dr. Grunberger, who is also a past president of the American Association of Clinical Endocrinologists. An adult pivotal study showed that supraphysiologic levels of glucagon were achieved within 5 minutes with both nasal and intramuscular glucagon (Diabetes Care. 2016;39[2]:264-70). Headache and nasal symptoms occurred more frequently with nasal glucagon, but most were resolved within 1 day. In addition, nausea and vomiting occurred at similar frequencies with nasal and intramuscular glucacon, and most cases were resolved within 1 day.

Similar results were observed in a pediatric study of 48 patients with type 1 diabetes who were older than 4 years, (Diabetes Care. 2016;39[4]:555-62).

Dr. Grunberger disclosed that has research contracts with Medtronic and Eli Lilly, and that he serves on speakers bureaus of Eli Lilly, Janssen, Novo Nordisk, and Sanofi.

 

– Injections may be the most common way for patients with diabetes to take insulin, but other modes of delivery are coming of age.

Doug Brunk/MDedge News
Dr. George Grunberger

George Grunberger, MD, chairman of the Grunberger Diabetes Institute in Bloomfield Township, Mich., said that at least seven different agents that are being studied for the oral delivery of biologics for diabetes.

He outlined several at the World Congress on Insulin Resistance, Diabetes & Cardiovascular Disease.
 

Oral insulin

ORMD-0801 from Oramed is an oral insulin capsule that prevents enzyme degradation and enhances intestinal absorption. Top-line, unpublished findings from a phase 2 study, which the company announced in November 2019, showed that ORMD-0801 significantly reduced hemoglobin A1c levels in patients with type 2 diabetes who were inadequately controlled on other standard-of-care drugs. ORMD-0801 dosed once daily reduced HbA1c by 0.60%, compared with 0.06% by placebo. “We’ll see when it’s going to wind up in the clinic,” Dr. Grunberger said. Oramed is also developing an oral glucagonlike peptide–1 analogue capsule, ORMD-0901, which has potential to be the first orally ingestible GLP-1 analogue.

Inhaled and absorbed insulin

Technosphere insulin (Affreza) is a novel inhalation powder for the treatment of diabetes that was developed by MannKind and approved by the Food and Drug Administration in 2014. Clinical studies have shown that Technosphere insulin delivers insulin with an ultrarapid pharmacokinetic profile that is different from all other insulin products, but similar to natural insulin release. “The idea was to develop a more patient-friendly device to deliver insulin directly into the lungs,” said Dr. Grunberger, who is also a clinical professor of internal medicine and molecular medicine and genetics at Wayne State University, Detroit. “When you inhale this into the lungs, there is one cell layer between the air sac and the circulation, so it works very quickly. The idea is to try to avoid injecting insulin to see if it helps. This is a prandial insulin – you inhale it before meals. The whole idea is that hopefully, you can reduce any fear of delayed postprandial hyperglycemia.”

In a randomized trial of 353 patients with inadequately controlled type 2 diabetes, those in the Technosphere insulin arm significantly reduced HbA1c by 0.8% from a baseline of 8.3%, compared with the placebo arm, which was reduced by 0.4% (P less than .0001; Diabetes Care. 2015;38[12]:2274-81). A greater number of patients treated with Technosphere insulin achieved an HbA1c of 7.0% or less, compared with placebo (38% vs. 19%; P = .0005). Dr. Grunberger noted that, in clinical trials lasting up to 2 years, patients treated with Technosphere insulin had a 40-mL greater decline from baseline in forced expiratory volume in 1 second (FEV1 ), compared with patients treated with comparator antidiabetes treatments. “But once you stop using the drug, FEV1 reverts to normal,” he said. “So, there does not appear to be lasting damage to your lungs and respiratory ability.”

In another development, Oral-Lyn from Generex Biotechnology, which delivers insulin through the oral mucosa, is being evaluated as a potential treatment option. In 2015, Generex partnered with the University of Toronto’s Center for Molecular Design and Preformulations to increase the bioavailability of insulin in the product and to reduce the number of sprays required to achieve effective prandial glucose control. In 2019, the company formed the NuGenerex Diabetes Research Center, which intended to accelerate the development of the reformulated Oral-Lyn-2, for type 2 diabetes, and Altsulin, for the treatment of type 1 diabetes. The programs are expected to initiate in the first quarter of 2020.

In the meantime, studies of intranasally delivered insulin continue to advance. “It works. It lowers glucose, but there is a whole slew of knowledge now about how it can also improve neurocognitive function,” Dr. Grunberger said.
 

 

 

Oral GLP-1 receptor agonists

Oral versions of glucagonlike peptide–1 (GLP-1) receptor agonists are also emerging as a treatment option. The FDA recently approved the first oral GLP-1 receptor agonist, semaglutide bound in the absorption enhancer sodium N‐(8‐[2‐hydroxybenzoyl] amino) caprylate (SNAC). According to data from manufacturer Novo Nordisk, SNAC facilitates local increase of pH, which leads to a higher solubility. SNAC interacts with cell membranes of gastric mucosa, facilitating absorption within 30 minutes, “so the drug can penetrate the mucosa without lasting damage,” Dr. Grunberger said. The SNAC effect is size dependent and fully reversible.

In PIONEER 3, researchers found that, in adults with type 2 diabetes uncontrolled with metformin with or without sulfonylurea, oral semaglutide at dosages of 7 and 14 mg/day resulted in significantly greater reductions in HbA1c over 26 weeks, compared with sitagliptin, but there was no significant benefit with the 3-mg/d dosage (JAMA. 2019;321[15]:1466-80). In PIONEER 4, researchers compared the efficacy and safety of oral semaglutide with subcutaneous liraglutide (Lancet. 2019;394[10192]:P39-50). “There was no difference in HbA1c effect between the two groups, but oral semaglutide beat out sitagliptin in terms of weight loss,” Dr. Grunberger said. “It’s going to be interesting to see what’s going to happen in the marketplace as the drug gets widely launched.”
 

Nasal glucagon

He closed out his presentation by discussing the July 2019 FDA approval of Eli Lilly’s nasal glucagon for severe hypoglycemia – the first such treatment that can be administered without an injection. The nasally administered dry powder, known as Baqsimi, is a welcome alternative to current glucagon kits, “which contain multiple components,” said Dr. Grunberger, who is also a past president of the American Association of Clinical Endocrinologists. An adult pivotal study showed that supraphysiologic levels of glucagon were achieved within 5 minutes with both nasal and intramuscular glucagon (Diabetes Care. 2016;39[2]:264-70). Headache and nasal symptoms occurred more frequently with nasal glucagon, but most were resolved within 1 day. In addition, nausea and vomiting occurred at similar frequencies with nasal and intramuscular glucacon, and most cases were resolved within 1 day.

Similar results were observed in a pediatric study of 48 patients with type 1 diabetes who were older than 4 years, (Diabetes Care. 2016;39[4]:555-62).

Dr. Grunberger disclosed that has research contracts with Medtronic and Eli Lilly, and that he serves on speakers bureaus of Eli Lilly, Janssen, Novo Nordisk, and Sanofi.

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Streamlining the transition from pediatric to adult care

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Diabetes is a complex disease with a range of nuanced therapy options and a plethora of risk factors that could significantly affect patient quality of life and long-term outcomes. From the outset, after diagnosis, a selected regimen has to be meticulously tailored to a patient’s clinical needs and monitored over time, and many other nonclinical variables, such as patient preference, social history, access to care, and support systems, as well as the cost of the drugs and its impact on the patient, must also be considered.

The increase in the incidence of youth-onset diabetes means that more young adults are making the transition from pediatric to adult care, and careful care coordination is paramount at the handover point to ensure that a full and complete account of the history gets transferred to the adult-care provider.

So how do you distill the information from all those records (on paper and online) that you’ve accumulated during the time you’ve been treating a young adult who is now transitioning to adult care?
 

Transition summary

One resource that can facilitate this handover is the transition summary. It effectively consolidates and packages the aforementioned aspects of care and patient history so that the adult-care provider does not have to collect the patient’s history from the start. The transition summary should not be confused with the discharge or medical summary, which focuses only on the preceding clinical care.

It is important to stress at this stage that collaboration between the pediatric- and adult-care providers is crucial to the success of such a summary, from its creation, to its implementation, and through the subsequent and inevitable revisions and updates.
 

Benefits all around

After we introduced the transition summary at my institution, we found that the average initial patient visit with the new adult-care provider decreased by 12 minutes (with a range of 6-19 min). The adult-care providers welcomed receiving such detailed, important patient information packaged in a concise and readily accessible format. It helped them identify the preceding care team members, which facilitated continuity of care, and it also helped them forge a better therapeutic relationship with the patient earlier on in their engagement.

Dr. Shivani Agarwhal

We also learned that patients were more comfortable with the transition, and the referring providers were relieved and reassured that their patients would continue to receive personalized care with the new adult-care provider.

At a personal level, I found I was less stressed as I could spend better-quality clinical time with patients. And I got to eliminate those unwieldy stacks of medical records since getting buy-in from divisional and IT leadership enabled us to automate the entire process of information transfer.

It is important to note that the patient has to consent to release of medical records to other institutions.
 

Setting up the summary

At our clinic, I started out by adapting the transition summary from guidelines provided by the Endocrine Society to make a template. Then, in collaboration with my pediatric colleagues, I removed and added information so that the revised document would contain information that is vitally important and not readily available in the chart and would be feasible to fill out. For example, we included details such as the patient’s psychosocial history, an estimation of the patient barriers to diabetes management, family relationship issues, and the patient’s reasons for not adopting advanced diabetes technology (see accompanying example of a transition summary) .

I kept the summary brief, at two pages, and piloted it with referring providers who were interested in using the summary and with related supporting services. I also sought buy-in from my institution. This meant that I needed pediatric and adult divisional leadership support, which offered me information technology, resources, and expertise to automate the summary within the electronic health record. Once I had feedback from would-be users, we revised and updated the summary. We set up training for staff, including pediatric providers, nurse practitioners, social workers, and nurses who could fill out the summary, and ultimately succeeded in making it mandatory that the adult-care provider receive a summary before scheduling or seeing the transfer patient.

I started out with a paper version, and once we’d refined the questions, we incorporated it into the electronic medical record.

The information we use in our summary is grouped under the following headings:

 

 

  • Reason for transition.
  • Diabetes type.
  • Degree of diabetes control.
  • Type of insulin therapy and supplies.
  • Current and former insulin regimen: reasons for discontinuation of any therapies or reluctance to start any therapies.
  • Diabetes health maintenance.
  • Social history and support, including living situation, main social support network, child protective services involvement.
  • Other pertinent medical surgical history, including psychiatric disease.

Tips and takeaways

Top of the list of takeaways is that you should make the final document work for you, your colleagues, and ultimately, your patients – customize it as you see fit, but be sure to keep it short and easy to fill out. Make a note as you start using it in practice of what you think might be missing from the chart and whether updates are needed. If you can, it’s a great idea to fold the transfer summary into the electronic medical record, though it’s not imperative. Care coordination is key to successful transfer of patients, whether from pediatric to adult care or hospital to home. A small change to work flow can result in a huge change in patient and provider satisfaction, as well as a reduction in visit times.
 

Dr. Agarwal is director of the Supporting Emerging Adults With Diabetes (SEAD) program at Montefiore Medical Center and assistant professor of medicine at Albert Einstein College of Medicine, New York. She reports no disclosures or financial conflicts of interest. Write to her at [email protected].

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Diabetes is a complex disease with a range of nuanced therapy options and a plethora of risk factors that could significantly affect patient quality of life and long-term outcomes. From the outset, after diagnosis, a selected regimen has to be meticulously tailored to a patient’s clinical needs and monitored over time, and many other nonclinical variables, such as patient preference, social history, access to care, and support systems, as well as the cost of the drugs and its impact on the patient, must also be considered.

The increase in the incidence of youth-onset diabetes means that more young adults are making the transition from pediatric to adult care, and careful care coordination is paramount at the handover point to ensure that a full and complete account of the history gets transferred to the adult-care provider.

So how do you distill the information from all those records (on paper and online) that you’ve accumulated during the time you’ve been treating a young adult who is now transitioning to adult care?
 

Transition summary

One resource that can facilitate this handover is the transition summary. It effectively consolidates and packages the aforementioned aspects of care and patient history so that the adult-care provider does not have to collect the patient’s history from the start. The transition summary should not be confused with the discharge or medical summary, which focuses only on the preceding clinical care.

It is important to stress at this stage that collaboration between the pediatric- and adult-care providers is crucial to the success of such a summary, from its creation, to its implementation, and through the subsequent and inevitable revisions and updates.
 

Benefits all around

After we introduced the transition summary at my institution, we found that the average initial patient visit with the new adult-care provider decreased by 12 minutes (with a range of 6-19 min). The adult-care providers welcomed receiving such detailed, important patient information packaged in a concise and readily accessible format. It helped them identify the preceding care team members, which facilitated continuity of care, and it also helped them forge a better therapeutic relationship with the patient earlier on in their engagement.

Dr. Shivani Agarwhal

We also learned that patients were more comfortable with the transition, and the referring providers were relieved and reassured that their patients would continue to receive personalized care with the new adult-care provider.

At a personal level, I found I was less stressed as I could spend better-quality clinical time with patients. And I got to eliminate those unwieldy stacks of medical records since getting buy-in from divisional and IT leadership enabled us to automate the entire process of information transfer.

It is important to note that the patient has to consent to release of medical records to other institutions.
 

Setting up the summary

At our clinic, I started out by adapting the transition summary from guidelines provided by the Endocrine Society to make a template. Then, in collaboration with my pediatric colleagues, I removed and added information so that the revised document would contain information that is vitally important and not readily available in the chart and would be feasible to fill out. For example, we included details such as the patient’s psychosocial history, an estimation of the patient barriers to diabetes management, family relationship issues, and the patient’s reasons for not adopting advanced diabetes technology (see accompanying example of a transition summary) .

I kept the summary brief, at two pages, and piloted it with referring providers who were interested in using the summary and with related supporting services. I also sought buy-in from my institution. This meant that I needed pediatric and adult divisional leadership support, which offered me information technology, resources, and expertise to automate the summary within the electronic health record. Once I had feedback from would-be users, we revised and updated the summary. We set up training for staff, including pediatric providers, nurse practitioners, social workers, and nurses who could fill out the summary, and ultimately succeeded in making it mandatory that the adult-care provider receive a summary before scheduling or seeing the transfer patient.

I started out with a paper version, and once we’d refined the questions, we incorporated it into the electronic medical record.

The information we use in our summary is grouped under the following headings:

 

 

  • Reason for transition.
  • Diabetes type.
  • Degree of diabetes control.
  • Type of insulin therapy and supplies.
  • Current and former insulin regimen: reasons for discontinuation of any therapies or reluctance to start any therapies.
  • Diabetes health maintenance.
  • Social history and support, including living situation, main social support network, child protective services involvement.
  • Other pertinent medical surgical history, including psychiatric disease.

Tips and takeaways

Top of the list of takeaways is that you should make the final document work for you, your colleagues, and ultimately, your patients – customize it as you see fit, but be sure to keep it short and easy to fill out. Make a note as you start using it in practice of what you think might be missing from the chart and whether updates are needed. If you can, it’s a great idea to fold the transfer summary into the electronic medical record, though it’s not imperative. Care coordination is key to successful transfer of patients, whether from pediatric to adult care or hospital to home. A small change to work flow can result in a huge change in patient and provider satisfaction, as well as a reduction in visit times.
 

Dr. Agarwal is director of the Supporting Emerging Adults With Diabetes (SEAD) program at Montefiore Medical Center and assistant professor of medicine at Albert Einstein College of Medicine, New York. She reports no disclosures or financial conflicts of interest. Write to her at [email protected].

Diabetes is a complex disease with a range of nuanced therapy options and a plethora of risk factors that could significantly affect patient quality of life and long-term outcomes. From the outset, after diagnosis, a selected regimen has to be meticulously tailored to a patient’s clinical needs and monitored over time, and many other nonclinical variables, such as patient preference, social history, access to care, and support systems, as well as the cost of the drugs and its impact on the patient, must also be considered.

The increase in the incidence of youth-onset diabetes means that more young adults are making the transition from pediatric to adult care, and careful care coordination is paramount at the handover point to ensure that a full and complete account of the history gets transferred to the adult-care provider.

So how do you distill the information from all those records (on paper and online) that you’ve accumulated during the time you’ve been treating a young adult who is now transitioning to adult care?
 

Transition summary

One resource that can facilitate this handover is the transition summary. It effectively consolidates and packages the aforementioned aspects of care and patient history so that the adult-care provider does not have to collect the patient’s history from the start. The transition summary should not be confused with the discharge or medical summary, which focuses only on the preceding clinical care.

It is important to stress at this stage that collaboration between the pediatric- and adult-care providers is crucial to the success of such a summary, from its creation, to its implementation, and through the subsequent and inevitable revisions and updates.
 

Benefits all around

After we introduced the transition summary at my institution, we found that the average initial patient visit with the new adult-care provider decreased by 12 minutes (with a range of 6-19 min). The adult-care providers welcomed receiving such detailed, important patient information packaged in a concise and readily accessible format. It helped them identify the preceding care team members, which facilitated continuity of care, and it also helped them forge a better therapeutic relationship with the patient earlier on in their engagement.

Dr. Shivani Agarwhal

We also learned that patients were more comfortable with the transition, and the referring providers were relieved and reassured that their patients would continue to receive personalized care with the new adult-care provider.

At a personal level, I found I was less stressed as I could spend better-quality clinical time with patients. And I got to eliminate those unwieldy stacks of medical records since getting buy-in from divisional and IT leadership enabled us to automate the entire process of information transfer.

It is important to note that the patient has to consent to release of medical records to other institutions.
 

Setting up the summary

At our clinic, I started out by adapting the transition summary from guidelines provided by the Endocrine Society to make a template. Then, in collaboration with my pediatric colleagues, I removed and added information so that the revised document would contain information that is vitally important and not readily available in the chart and would be feasible to fill out. For example, we included details such as the patient’s psychosocial history, an estimation of the patient barriers to diabetes management, family relationship issues, and the patient’s reasons for not adopting advanced diabetes technology (see accompanying example of a transition summary) .

I kept the summary brief, at two pages, and piloted it with referring providers who were interested in using the summary and with related supporting services. I also sought buy-in from my institution. This meant that I needed pediatric and adult divisional leadership support, which offered me information technology, resources, and expertise to automate the summary within the electronic health record. Once I had feedback from would-be users, we revised and updated the summary. We set up training for staff, including pediatric providers, nurse practitioners, social workers, and nurses who could fill out the summary, and ultimately succeeded in making it mandatory that the adult-care provider receive a summary before scheduling or seeing the transfer patient.

I started out with a paper version, and once we’d refined the questions, we incorporated it into the electronic medical record.

The information we use in our summary is grouped under the following headings:

 

 

  • Reason for transition.
  • Diabetes type.
  • Degree of diabetes control.
  • Type of insulin therapy and supplies.
  • Current and former insulin regimen: reasons for discontinuation of any therapies or reluctance to start any therapies.
  • Diabetes health maintenance.
  • Social history and support, including living situation, main social support network, child protective services involvement.
  • Other pertinent medical surgical history, including psychiatric disease.

Tips and takeaways

Top of the list of takeaways is that you should make the final document work for you, your colleagues, and ultimately, your patients – customize it as you see fit, but be sure to keep it short and easy to fill out. Make a note as you start using it in practice of what you think might be missing from the chart and whether updates are needed. If you can, it’s a great idea to fold the transfer summary into the electronic medical record, though it’s not imperative. Care coordination is key to successful transfer of patients, whether from pediatric to adult care or hospital to home. A small change to work flow can result in a huge change in patient and provider satisfaction, as well as a reduction in visit times.
 

Dr. Agarwal is director of the Supporting Emerging Adults With Diabetes (SEAD) program at Montefiore Medical Center and assistant professor of medicine at Albert Einstein College of Medicine, New York. She reports no disclosures or financial conflicts of interest. Write to her at [email protected].

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Menopause hormone therapy found to delay type 2 diabetes

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– Although menopausal hormone therapy is not approved for the prevention of type 2 diabetes because of its complex balance of risks and benefits, it should not be withheld from women with increased risk of type 2 diabetes who seek treatment for menopausal symptoms, according to Franck Mauvais-Jarvis, MD.

Doug Brunk/MDedge News
Dr. Franck Mauvais-Jarvis

“During the menopause transition, women accumulate metabolic disturbances, including visceral obesity, systemic inflammation, insulin resistance, dyslipidemia, and hypertension,” Dr. Mauvais-Jarvis, director of the Tulane Diabetes Research Program at Tulane University Health Sciences Center, New Orleans, said at the Annual World Congress on Insulin Resistance, Diabetes & Cardiovascular Disease. “They also lose muscle mass. Some of these abnormalities are partially explained by chronological aging, but they are also caused by estrogen deficiency. There’s a synergism between aging and estrogen deficiency.”

The best evidence of this synergy comes from older trials. Nearly 30 years ago, researchers examined the association between postmenopausal hormone use and the subsequent incidence of non–insulin dependent diabetes in a prospective cohort of 21,028 postmenopausal U.S. women aged 30-55 years, who were enrolled in the Nurse’s Health Study and followed for 12 years (Ann Epidemiol. 1992;2[5]:665-73). They found that study participants on hormone therapy experienced a 20% reduction in the incidence of type 2 diabetes. In a more recent trial, researchers examined the association between use of hormone therapy and new-onset diabetes in 63,624 postmenopausal women who were enrolled in the prospective French cohort of the Etude Epidemiologique de Femmes de la Mutuelle Générale de l’Education Nationale (E3N) and followed for 15 years (Diabetologia. 2009;52[10]:2092-100). It found that study participants on hormone therapy experienced a 20% reduction in the incidence of type 2 diabetes.

In the Heart and Estrogen/Progestin Replacement Study, researchers evaluated the effect of hormone therapy on fasting glucose level and incident diabetes in 2,763 postmenopausal women with coronary heart disease (Ann Intern Med. 2003;138[1]:1-9). At 20 U.S. centers, the study participants received 0.625 mg of conjugated estrogen plus 2.5 mg of medroxyprogesterone, or placebo, and were followed for 4 years. The researchers found that the use of hormone therapy reduced the incidence of diabetes by 35%.

According to Dr. Mauvais-Jarvis, the strongest data come from the Women’s Health Initiative (WHI), a randomized, double-blind trial that compared the effect of daily 0.625 mg conjugated estrogen plus 2.5 mg medroxyprogesterone acetate with that of placebo during 5.6 years of follow-up (Diabetologia. 2004; 47[7]:1175-87). It showed a 20% decrease in the incidence of diabetes at 5 years. More recently, researchers found that, whether WHI participants took estrogen plus medroxyprogesterone or estrogen alone, the protection from diabetes was present (N Engl J Med. 2016;374:803-6).

In 2006, researchers published results from a meta-analysis of 107 trials in an effort to quantify the effects of hormone therapy on components of metabolic syndrome in postmenopausal women (Diabetes Obes Metab. 2006;8[5]:538-54). In women without diabetes, hormone therapy reduced the HOMA-IR (Homeostatic Model Assessment for Insulin Resistance) score by 13% and incidence of type 2 diabetes by 30%. In women with diabetes, hormone therapy reduced fasting glucose by 11% and HOMA-IR by 36%.

The mechanisms by which estrogens improve glucose homeostasis are yet to be fully understood. “One of the most important [mechanisms] is a decrease in abdominal fat, which improves insulin resistance and systemic inflammation,” Dr. Mauvais-Jarvis said. “However, in the WHI, it was clear that the improvement in HOMA-IR was independent from the body weight and fat. Estrogen has also been found to increase insulin clearance and sensitivity, increase glucose disposal and effectiveness and decrease sarcopenia. There are fewer than 20 studies looking at beta-cell function. Half of them have shown that estrogen improves insulin secretion.”

Route of estrogen administration also comes into play. For example, oral estrogens increase liver exposure to estrogen, increase triglycerides, and increase clotting factors. “That is why oral estrogens are not indicated in women with risk of deep venous thrombosis,” Dr. Mauvais-Jarvis said. “They also increase inflammatory factors like C-reactive protein. Advantages are that they decrease LDL cholesterol levels and increase HDL cholesterol levels more than transdermal estrogen does.”

The main advantage with transdermal delivery of estrogen, he continued, is that it does not raise triglycerides, clotting factors, or inflammatory factors, and it confers less exposure to the liver. “That’s why it’s the preferred way of administration in women who are obese, who have a risk of DVT, or who have cardiovascular risk factors,” he said. “It has a lower suppression of hepatic glucose production, it increases circulating estradiol, and the delivery to nonhepatic tissue is increased. The oral form of estrogen is cheaper, compared with the transdermal form, though. This is a factor that is always taken into account.”

Dr. Mauvais-Jarvis and colleagues were first to evaluate the effect of conjugated estrogens plus bazedoxifene in mice (Mol Metab. 2014;3[2]:177-90). “The idea was that by combining estrogen and bazedoxifene, you have the beneficial effect of estrogen in the tissues but you block estrogen in the breast and in the uterus, and therefore, you prevent the risk of cancer,” he said. “We found that tissue-selective estrogen complexes with bazedoxifene prevent metabolic dysfunction in female mice. It increased energy expenditure and decreased fatty liver.”

In a subsequent pilot study, he and his colleagues assessed the effect of 12 weeks’ treatment with bazedoxifene/conjugated estrogens, compared with placebo, on glucose homeostasis and body composition in 12 postmenopausal women (NCT02237079). “We did not find any significant alterations in the IVGTT [Intravenous Glucose Tolerance Test] but we observed improved fasting beta-cell function and serum glucose in menopausal women with obesity,” Dr. Mauvais-Jarvis said (J Endocr Soc. 2019;3[8]:1583-94).

In a separate, randomized, double-blind, placebo-controlled, crossover trial that he and his colleagues performed in eight postmenopausal women with obesity, the primary endpoint was insulin action as measured by a two-step hyperinsulinemic-euglycemic clamp. Secondary endpoints were body composition, basal metabolic rate, ectopic fat, and metabolome. “We did not find any difference in systemic insulin action, ectopic fat, or energy expenditure,” he said. “But we found something very interesting. We did a metabolic analysis and found that oral estrogens increase hepatic de novo lipogenesis and liver triacylglycerol production. In other words, the oral estrogens were increasing [triacylglycerol] synthesis from glucose, but it does not accumulate in the liver.”

Dr. Mauvais-Jarvis disclosed that he has received research support from the National Institutes of Health, the American Diabetes Association, the Department of Veterans Affairs, and Pfizer.
 

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– Although menopausal hormone therapy is not approved for the prevention of type 2 diabetes because of its complex balance of risks and benefits, it should not be withheld from women with increased risk of type 2 diabetes who seek treatment for menopausal symptoms, according to Franck Mauvais-Jarvis, MD.

Doug Brunk/MDedge News
Dr. Franck Mauvais-Jarvis

“During the menopause transition, women accumulate metabolic disturbances, including visceral obesity, systemic inflammation, insulin resistance, dyslipidemia, and hypertension,” Dr. Mauvais-Jarvis, director of the Tulane Diabetes Research Program at Tulane University Health Sciences Center, New Orleans, said at the Annual World Congress on Insulin Resistance, Diabetes & Cardiovascular Disease. “They also lose muscle mass. Some of these abnormalities are partially explained by chronological aging, but they are also caused by estrogen deficiency. There’s a synergism between aging and estrogen deficiency.”

The best evidence of this synergy comes from older trials. Nearly 30 years ago, researchers examined the association between postmenopausal hormone use and the subsequent incidence of non–insulin dependent diabetes in a prospective cohort of 21,028 postmenopausal U.S. women aged 30-55 years, who were enrolled in the Nurse’s Health Study and followed for 12 years (Ann Epidemiol. 1992;2[5]:665-73). They found that study participants on hormone therapy experienced a 20% reduction in the incidence of type 2 diabetes. In a more recent trial, researchers examined the association between use of hormone therapy and new-onset diabetes in 63,624 postmenopausal women who were enrolled in the prospective French cohort of the Etude Epidemiologique de Femmes de la Mutuelle Générale de l’Education Nationale (E3N) and followed for 15 years (Diabetologia. 2009;52[10]:2092-100). It found that study participants on hormone therapy experienced a 20% reduction in the incidence of type 2 diabetes.

In the Heart and Estrogen/Progestin Replacement Study, researchers evaluated the effect of hormone therapy on fasting glucose level and incident diabetes in 2,763 postmenopausal women with coronary heart disease (Ann Intern Med. 2003;138[1]:1-9). At 20 U.S. centers, the study participants received 0.625 mg of conjugated estrogen plus 2.5 mg of medroxyprogesterone, or placebo, and were followed for 4 years. The researchers found that the use of hormone therapy reduced the incidence of diabetes by 35%.

According to Dr. Mauvais-Jarvis, the strongest data come from the Women’s Health Initiative (WHI), a randomized, double-blind trial that compared the effect of daily 0.625 mg conjugated estrogen plus 2.5 mg medroxyprogesterone acetate with that of placebo during 5.6 years of follow-up (Diabetologia. 2004; 47[7]:1175-87). It showed a 20% decrease in the incidence of diabetes at 5 years. More recently, researchers found that, whether WHI participants took estrogen plus medroxyprogesterone or estrogen alone, the protection from diabetes was present (N Engl J Med. 2016;374:803-6).

In 2006, researchers published results from a meta-analysis of 107 trials in an effort to quantify the effects of hormone therapy on components of metabolic syndrome in postmenopausal women (Diabetes Obes Metab. 2006;8[5]:538-54). In women without diabetes, hormone therapy reduced the HOMA-IR (Homeostatic Model Assessment for Insulin Resistance) score by 13% and incidence of type 2 diabetes by 30%. In women with diabetes, hormone therapy reduced fasting glucose by 11% and HOMA-IR by 36%.

The mechanisms by which estrogens improve glucose homeostasis are yet to be fully understood. “One of the most important [mechanisms] is a decrease in abdominal fat, which improves insulin resistance and systemic inflammation,” Dr. Mauvais-Jarvis said. “However, in the WHI, it was clear that the improvement in HOMA-IR was independent from the body weight and fat. Estrogen has also been found to increase insulin clearance and sensitivity, increase glucose disposal and effectiveness and decrease sarcopenia. There are fewer than 20 studies looking at beta-cell function. Half of them have shown that estrogen improves insulin secretion.”

Route of estrogen administration also comes into play. For example, oral estrogens increase liver exposure to estrogen, increase triglycerides, and increase clotting factors. “That is why oral estrogens are not indicated in women with risk of deep venous thrombosis,” Dr. Mauvais-Jarvis said. “They also increase inflammatory factors like C-reactive protein. Advantages are that they decrease LDL cholesterol levels and increase HDL cholesterol levels more than transdermal estrogen does.”

The main advantage with transdermal delivery of estrogen, he continued, is that it does not raise triglycerides, clotting factors, or inflammatory factors, and it confers less exposure to the liver. “That’s why it’s the preferred way of administration in women who are obese, who have a risk of DVT, or who have cardiovascular risk factors,” he said. “It has a lower suppression of hepatic glucose production, it increases circulating estradiol, and the delivery to nonhepatic tissue is increased. The oral form of estrogen is cheaper, compared with the transdermal form, though. This is a factor that is always taken into account.”

Dr. Mauvais-Jarvis and colleagues were first to evaluate the effect of conjugated estrogens plus bazedoxifene in mice (Mol Metab. 2014;3[2]:177-90). “The idea was that by combining estrogen and bazedoxifene, you have the beneficial effect of estrogen in the tissues but you block estrogen in the breast and in the uterus, and therefore, you prevent the risk of cancer,” he said. “We found that tissue-selective estrogen complexes with bazedoxifene prevent metabolic dysfunction in female mice. It increased energy expenditure and decreased fatty liver.”

In a subsequent pilot study, he and his colleagues assessed the effect of 12 weeks’ treatment with bazedoxifene/conjugated estrogens, compared with placebo, on glucose homeostasis and body composition in 12 postmenopausal women (NCT02237079). “We did not find any significant alterations in the IVGTT [Intravenous Glucose Tolerance Test] but we observed improved fasting beta-cell function and serum glucose in menopausal women with obesity,” Dr. Mauvais-Jarvis said (J Endocr Soc. 2019;3[8]:1583-94).

In a separate, randomized, double-blind, placebo-controlled, crossover trial that he and his colleagues performed in eight postmenopausal women with obesity, the primary endpoint was insulin action as measured by a two-step hyperinsulinemic-euglycemic clamp. Secondary endpoints were body composition, basal metabolic rate, ectopic fat, and metabolome. “We did not find any difference in systemic insulin action, ectopic fat, or energy expenditure,” he said. “But we found something very interesting. We did a metabolic analysis and found that oral estrogens increase hepatic de novo lipogenesis and liver triacylglycerol production. In other words, the oral estrogens were increasing [triacylglycerol] synthesis from glucose, but it does not accumulate in the liver.”

Dr. Mauvais-Jarvis disclosed that he has received research support from the National Institutes of Health, the American Diabetes Association, the Department of Veterans Affairs, and Pfizer.
 

– Although menopausal hormone therapy is not approved for the prevention of type 2 diabetes because of its complex balance of risks and benefits, it should not be withheld from women with increased risk of type 2 diabetes who seek treatment for menopausal symptoms, according to Franck Mauvais-Jarvis, MD.

Doug Brunk/MDedge News
Dr. Franck Mauvais-Jarvis

“During the menopause transition, women accumulate metabolic disturbances, including visceral obesity, systemic inflammation, insulin resistance, dyslipidemia, and hypertension,” Dr. Mauvais-Jarvis, director of the Tulane Diabetes Research Program at Tulane University Health Sciences Center, New Orleans, said at the Annual World Congress on Insulin Resistance, Diabetes & Cardiovascular Disease. “They also lose muscle mass. Some of these abnormalities are partially explained by chronological aging, but they are also caused by estrogen deficiency. There’s a synergism between aging and estrogen deficiency.”

The best evidence of this synergy comes from older trials. Nearly 30 years ago, researchers examined the association between postmenopausal hormone use and the subsequent incidence of non–insulin dependent diabetes in a prospective cohort of 21,028 postmenopausal U.S. women aged 30-55 years, who were enrolled in the Nurse’s Health Study and followed for 12 years (Ann Epidemiol. 1992;2[5]:665-73). They found that study participants on hormone therapy experienced a 20% reduction in the incidence of type 2 diabetes. In a more recent trial, researchers examined the association between use of hormone therapy and new-onset diabetes in 63,624 postmenopausal women who were enrolled in the prospective French cohort of the Etude Epidemiologique de Femmes de la Mutuelle Générale de l’Education Nationale (E3N) and followed for 15 years (Diabetologia. 2009;52[10]:2092-100). It found that study participants on hormone therapy experienced a 20% reduction in the incidence of type 2 diabetes.

In the Heart and Estrogen/Progestin Replacement Study, researchers evaluated the effect of hormone therapy on fasting glucose level and incident diabetes in 2,763 postmenopausal women with coronary heart disease (Ann Intern Med. 2003;138[1]:1-9). At 20 U.S. centers, the study participants received 0.625 mg of conjugated estrogen plus 2.5 mg of medroxyprogesterone, or placebo, and were followed for 4 years. The researchers found that the use of hormone therapy reduced the incidence of diabetes by 35%.

According to Dr. Mauvais-Jarvis, the strongest data come from the Women’s Health Initiative (WHI), a randomized, double-blind trial that compared the effect of daily 0.625 mg conjugated estrogen plus 2.5 mg medroxyprogesterone acetate with that of placebo during 5.6 years of follow-up (Diabetologia. 2004; 47[7]:1175-87). It showed a 20% decrease in the incidence of diabetes at 5 years. More recently, researchers found that, whether WHI participants took estrogen plus medroxyprogesterone or estrogen alone, the protection from diabetes was present (N Engl J Med. 2016;374:803-6).

In 2006, researchers published results from a meta-analysis of 107 trials in an effort to quantify the effects of hormone therapy on components of metabolic syndrome in postmenopausal women (Diabetes Obes Metab. 2006;8[5]:538-54). In women without diabetes, hormone therapy reduced the HOMA-IR (Homeostatic Model Assessment for Insulin Resistance) score by 13% and incidence of type 2 diabetes by 30%. In women with diabetes, hormone therapy reduced fasting glucose by 11% and HOMA-IR by 36%.

The mechanisms by which estrogens improve glucose homeostasis are yet to be fully understood. “One of the most important [mechanisms] is a decrease in abdominal fat, which improves insulin resistance and systemic inflammation,” Dr. Mauvais-Jarvis said. “However, in the WHI, it was clear that the improvement in HOMA-IR was independent from the body weight and fat. Estrogen has also been found to increase insulin clearance and sensitivity, increase glucose disposal and effectiveness and decrease sarcopenia. There are fewer than 20 studies looking at beta-cell function. Half of them have shown that estrogen improves insulin secretion.”

Route of estrogen administration also comes into play. For example, oral estrogens increase liver exposure to estrogen, increase triglycerides, and increase clotting factors. “That is why oral estrogens are not indicated in women with risk of deep venous thrombosis,” Dr. Mauvais-Jarvis said. “They also increase inflammatory factors like C-reactive protein. Advantages are that they decrease LDL cholesterol levels and increase HDL cholesterol levels more than transdermal estrogen does.”

The main advantage with transdermal delivery of estrogen, he continued, is that it does not raise triglycerides, clotting factors, or inflammatory factors, and it confers less exposure to the liver. “That’s why it’s the preferred way of administration in women who are obese, who have a risk of DVT, or who have cardiovascular risk factors,” he said. “It has a lower suppression of hepatic glucose production, it increases circulating estradiol, and the delivery to nonhepatic tissue is increased. The oral form of estrogen is cheaper, compared with the transdermal form, though. This is a factor that is always taken into account.”

Dr. Mauvais-Jarvis and colleagues were first to evaluate the effect of conjugated estrogens plus bazedoxifene in mice (Mol Metab. 2014;3[2]:177-90). “The idea was that by combining estrogen and bazedoxifene, you have the beneficial effect of estrogen in the tissues but you block estrogen in the breast and in the uterus, and therefore, you prevent the risk of cancer,” he said. “We found that tissue-selective estrogen complexes with bazedoxifene prevent metabolic dysfunction in female mice. It increased energy expenditure and decreased fatty liver.”

In a subsequent pilot study, he and his colleagues assessed the effect of 12 weeks’ treatment with bazedoxifene/conjugated estrogens, compared with placebo, on glucose homeostasis and body composition in 12 postmenopausal women (NCT02237079). “We did not find any significant alterations in the IVGTT [Intravenous Glucose Tolerance Test] but we observed improved fasting beta-cell function and serum glucose in menopausal women with obesity,” Dr. Mauvais-Jarvis said (J Endocr Soc. 2019;3[8]:1583-94).

In a separate, randomized, double-blind, placebo-controlled, crossover trial that he and his colleagues performed in eight postmenopausal women with obesity, the primary endpoint was insulin action as measured by a two-step hyperinsulinemic-euglycemic clamp. Secondary endpoints were body composition, basal metabolic rate, ectopic fat, and metabolome. “We did not find any difference in systemic insulin action, ectopic fat, or energy expenditure,” he said. “But we found something very interesting. We did a metabolic analysis and found that oral estrogens increase hepatic de novo lipogenesis and liver triacylglycerol production. In other words, the oral estrogens were increasing [triacylglycerol] synthesis from glucose, but it does not accumulate in the liver.”

Dr. Mauvais-Jarvis disclosed that he has received research support from the National Institutes of Health, the American Diabetes Association, the Department of Veterans Affairs, and Pfizer.
 

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Gestational diabetes: Treatment controversy rages on

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– Pharmacologic treatment of gestational diabetes remains controversial, with the American College of Obstetricians and Gynecologists and the American Diabetes Association firmly recommending insulin as the preferred first-line pharmacologic therapy, and the Society of Maternal-Fetal Medicine more accepting of metformin as a “reasonable and safe first-line” alternative to insulin and stating that there are no strong data supporting metformin over the sulfonylurea glyburide.

If there’s one main take-away, Mark B. Landon, MD, said at the biennial meeting of the Diabetes in Pregnancy Study Group of North America, it was that “the primary concern” about the use of oral agents for treating gestational diabetes mellitus (GDM) is that there is limited long-term follow-up of exposed offspring.

“The claim that long-term safety data are not available for any oral agent is probably the most valid warning [of any of the concerns voiced by professional organizations],” said Dr. Landon, Richard L. Meiling professor and chair of the department of obstetrics and gynecology at The Ohio State University Wexner Medical Center, Columbus.

Otherwise, he said, there are not enough data to firmly prioritize the drugs most commonly used for GDM, and “the superiority of insulin over oral agents simply remains questionable.”

ACOG’s 2017 level A recommendation for insulin as the first-line option when pharmacologic treatment is needed for treating GDM (Obstet Gynecol. 2017;130[1]:e17-37) was followed in 2018 by another updated practice bulletin on GDM (Obstet Gynecol. 2018;131[2]:e49-64) that considered several meta-analyses published in 2017 and reiterated a preference for insulin.

Those recent meta-analyses of pharmacologic treatment of GDM show that the available literature is generally of “poor trial quality,” and that studies are small and not designed to assess equivalence or noninferiority, Mark Turrentine, MD, chair of ACOG’s committee on practice bulletins, said in an interview. “Taking that into account and [considering] that oral antidiabetic medications are not approved by the Food and Drug Administration [for the treatment of GDM], that they cross the placenta, and that we currently lack long-term neonatal safety data ... we felt that insulin is the preferred treatment.”

In its 2017 and 2018 bulletins, ACOG said that metformin is a “reasonable alternative choice” for women who decline insulin therapy or who may be unable to safely administer it (a level B recommendation). The 2018 practice bulletin mentions one additional factor: affordability. “Insurance companies aren’t always covering [insulin],” said Dr. Turrentine, of the department of obstetrics and gynecology, Baylor College of Medicine, Houston. “It’s a challenge – no question.”

ACOG says glyburide should not be recommended as a first-line pharmacologic treatment, “because, in most studies, it does not yield outcomes equivalent to insulin or metformin,” Dr. Turrentine emphasized.
 

Glyburide’s role

Dr. Landon took issue with ACOG’s stance on the sulfonylurea. “Frankly, I think this [conclusion] is debatable,” he said. The trend in the United States – “at least after the 2017 ACOG document came out”– has been toward use of metformin over glyburide when an oral agent is [used], but “I think glyburide has been unfairly trashed. It probably still has a place.”

 

 

As Dr. Landon sees it, research published in 2015 put a damper on the use of glyburide, which “had become the number one agent” after an earlier, seminal trial, led by Oded Langer, MD, had shown equivalent glycemic control in about 400 women with GDM who were randomized to receive either insulin or glyburide (N Engl J Med. 2000;343;1134-8). The trial was not powered to evaluate other outcomes, but there were no significant differences in neonatal complications, Dr. Landon said.

One of the 2015 studies – a large, retrospective, population-based study of more than 9,000 women with GDM treated with glyburide or insulin – showed a higher risk of admission to the neonatal intensive care unit (relative risk, 1.41), hypoglycemia in the newborn (RR, 1.40), and large-for-gestational age (RR, 1.43) with glyburide, compared with insulin (JAMA Pediatr. 2015;169[5]:452-8).

A meta-analysis of glyburide, metformin, and insulin showed significant differences between glyburide and insulin in birth weight, macrosomia (RR, 2.62), and neonatal hypoglycemia (RR, 2.04; BMJ. 2015;350;h102). However, “this was basically a conglomeration of studies with about 50 [individuals] in each arm, and in which entry criteria for the diagnosis of GDM were rather heterogeneous,” said Dr. Landon. “There are real problems with this and other meta-analyses.”

The authors of a 2018 multicenter, noninferiority, randomized, controlled trial of about 900 women concluded that their study failed to show that the use of glyburide, compared with insulin, does not result in a greater frequency of perinatal complications. The authors also wrote, however, that the “increase in perinatal complications [with glyburide] may be no more than 10.5%, compared with insulin” (JAMA. 2018;319[17]:1773-80).

That increase, Dr. Landon said, was “not an absolute 10%, but 10% of the complication rate, which probably translates to about 2%.” The only component of a composite outcome (including macrosomia, hypoglycemia, and hyperbilirubinemia) that was significantly different, he noted, was hypoglycemia, which affected 12.2% of neonates in the glyburide group and 7.2% in the insulin group.

Glyburide’s role may well be substantiated in the future, Dr. Landon said during a discussion period at the meeting, through research underway at the University of Pittsburgh aimed at tailoring treatment to the underlying pathophysiology of a patient’s GDM.

The MATCh-GDM study (Metabolic Analysis for Treatment Choice in GDM) is randomizing women to receive usual, unmatched treatment or treatment matched to GDM mechanism – metformin for predominant insulin resistance, glyburide or insulin for predominant insulin secretion defects, and one of the three for combined mechanisms. The study’s principal investigator, Maisa Feghali, MD, of the department of obstetrics, gynecology, and reproductive sciences at the University of Pittsburgh, stressed in a presentation on the study that GDM is a heterogeneous condition and that research is needed to understand the impact of GDM subtypes on treatment response.
 

Metformin outcomes

Concerns about the impact of metformin on short-term perinatal outcomes focus on preterm birth, Dr. Landon said. The only study to date that has shown an increased rate of prematurity, however, is the “seminal” Metformin in Gestational Diabetes (MiG) trial led by Janet A. Rowan, MBChB, that randomized 751 women with GDM in Australia and New Zealand to treatment with metformin or insulin. The researchers found no significant differences between a composite of neonatal complications but did establish that severe hypoglycemia was less common in the metformin group and preterm birth was more common (N Engl J Med. 2008;358:2003-15).

 

 

A 2016 systematic review and meta-analysis of short- and long-term outcomes of metformin, compared with insulin, found that metformin did not increase preterm delivery (Diabet Med. 2017;34[1]:27-36). And while the 2015 BMJ meta-analysis found that metformin was associated with higher rates of preterm birth (RR, 1.50), the increased risk “was all driven by the Rowan study,” Dr. Landon said. The 2015 meta-analysis also found that metformin was associated with less maternal weight gain and fewer infants who were large for gestational age.

Metformin is also tainted by high rates of failure in GDM. In the 2008 Rowan study, 46% of patients on metformin failed to achieve glycemic control. “But this is a classic half-full, half-empty [phenomena],” Dr. Landon said. “Some people say this isn’t good, but on the other hand, 54% avoided insulin.”

Indeed, the Society of Maternal-Fetal Medicine (SMFM), in its 2018 statement on the pharmacologic treatment of GDM, said that oral hypoglycemic agents that are used as monotherapy work in “more than half” of GDM pregnancies. The need for adjunctive insulin to achieve glycemic control ranges between 26% and 46% for women using metformin, and 4% and 16% for women using glyburide, it says.

In the society’s view, recent meta-analyses and systemic reviews “support the efficacy and safety of oral agents,” and “although concerns have been raised for more frequent adverse neonatal outcomes with glyburide, including macrosomia and hypoglycemia, the evidence of benefit of one oral agent over the other remains limited.”

The society says that the difference between its statement and the ACOG recommendations is “based on the values placed by different experts and providers on the available evidence,” and it adds that more long-term data are needed.

But as Dr. Landon said, the SMFM is “a little more forgiving” in its interpretation of a limited body of literature. And clinicians, in the meantime, have to navigate the controversy. “The professional organizations don’t make it easy for [us],” he said. At this point, “insulin does not cross the placenta, and the oral agents do cross it. Informed consent is absolutely necessary when choosing oral agents for treating GDM.”
 

Offspring well-being

Of greater concern than neonatal outcomes are the potential long-term issues for offspring, Dr. Landon said. On the one hand, it is theorized that metformin may protect beta-cell function in offspring and thereby reduce the cross-generational effects of obesity and type 2 diabetes. On the other hand, it is theorized that the drug may cause a decrease in cell-cycle proliferation, which could have “unknown fetal programming effects,” and it may inhibit the mTOR signaling pathway, thus restricting the transport of glucose and amino acids across the placenta, he said. (Findings from in vitro research have suggested that glyburide treatment in GDM might be associated with enhanced transport across the placenta, he noted.)

Long-term follow-up studies of offspring are “clearly needed,” Dr. Landon said. At this point, in regard to long-term safety, he and other experts are concerned primarily about the potential for obesity and metabolic dysfunction in offspring who are exposed to metformin in utero. They are watching follow-up from Dr. Rowan’s MiG trial, as well as elsewhere in the literature, on metformin-exposed offspring from mothers with polycystic ovary syndrome.

A follow-up analysis of offspring from the MiG trial found that children of women with GDM who were exposed to metformin had larger measures of subcutaneous fat at age 2 years, compared with children of mothers treated with insulin alone, but that overall body fat was the same, Dr. Landon noted. The investigators postulated that these children may have less visceral fat and a more favorable pattern of fat distribution (Diab Care. 2011;34:2279-84).

A recently published follow-up analysis of two randomized, controlled trials of women with polycystic ovary syndrome is cause for more concern, he said. That analysis showed that offspring exposed to metformin in utero had a higher body mass index and an increased prevalence of obesity or overweight at age 4 years, compared with placebo groups (J Clin Endocrinol Metab. 2018;103[4]:1612-21).

That analysis of metformin-exposed offspring in the context of polycystic ovary syndrome was published after the SMFM statement, as was another follow-up analysis of MiG trial offspring – this one, at ages 7-9 years – that showed an increase in weight, size, and fat mass in one of two subsets analyzed, despite no difference in large-for-gestational age rates between the metformin- and insulin-exposed offspring (BMJ Open Diabetes Res Care. 2018;6[1]: e000456).

In 2018, a group of 17 prominent diabetes and maternal-fetal medicine researchers cited these findings in a response to the SMFM statement and cautioned against the widespread adoption of metformin use during pregnancy, writing that, based on “both pharmacologic and randomized trial evidence that metformin may create an atypical intrauterine environment ... we believe it is premature to embrace metformin as equivalent to insulin or as superior to glyburide, and that patients should be counseled on the limited long-term safety data and potential for adverse childhood metabolic effects” (Am J Obstet Gynecol. 2018;219[4]:367.e1-7).

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– Pharmacologic treatment of gestational diabetes remains controversial, with the American College of Obstetricians and Gynecologists and the American Diabetes Association firmly recommending insulin as the preferred first-line pharmacologic therapy, and the Society of Maternal-Fetal Medicine more accepting of metformin as a “reasonable and safe first-line” alternative to insulin and stating that there are no strong data supporting metformin over the sulfonylurea glyburide.

If there’s one main take-away, Mark B. Landon, MD, said at the biennial meeting of the Diabetes in Pregnancy Study Group of North America, it was that “the primary concern” about the use of oral agents for treating gestational diabetes mellitus (GDM) is that there is limited long-term follow-up of exposed offspring.

“The claim that long-term safety data are not available for any oral agent is probably the most valid warning [of any of the concerns voiced by professional organizations],” said Dr. Landon, Richard L. Meiling professor and chair of the department of obstetrics and gynecology at The Ohio State University Wexner Medical Center, Columbus.

Otherwise, he said, there are not enough data to firmly prioritize the drugs most commonly used for GDM, and “the superiority of insulin over oral agents simply remains questionable.”

ACOG’s 2017 level A recommendation for insulin as the first-line option when pharmacologic treatment is needed for treating GDM (Obstet Gynecol. 2017;130[1]:e17-37) was followed in 2018 by another updated practice bulletin on GDM (Obstet Gynecol. 2018;131[2]:e49-64) that considered several meta-analyses published in 2017 and reiterated a preference for insulin.

Those recent meta-analyses of pharmacologic treatment of GDM show that the available literature is generally of “poor trial quality,” and that studies are small and not designed to assess equivalence or noninferiority, Mark Turrentine, MD, chair of ACOG’s committee on practice bulletins, said in an interview. “Taking that into account and [considering] that oral antidiabetic medications are not approved by the Food and Drug Administration [for the treatment of GDM], that they cross the placenta, and that we currently lack long-term neonatal safety data ... we felt that insulin is the preferred treatment.”

In its 2017 and 2018 bulletins, ACOG said that metformin is a “reasonable alternative choice” for women who decline insulin therapy or who may be unable to safely administer it (a level B recommendation). The 2018 practice bulletin mentions one additional factor: affordability. “Insurance companies aren’t always covering [insulin],” said Dr. Turrentine, of the department of obstetrics and gynecology, Baylor College of Medicine, Houston. “It’s a challenge – no question.”

ACOG says glyburide should not be recommended as a first-line pharmacologic treatment, “because, in most studies, it does not yield outcomes equivalent to insulin or metformin,” Dr. Turrentine emphasized.
 

Glyburide’s role

Dr. Landon took issue with ACOG’s stance on the sulfonylurea. “Frankly, I think this [conclusion] is debatable,” he said. The trend in the United States – “at least after the 2017 ACOG document came out”– has been toward use of metformin over glyburide when an oral agent is [used], but “I think glyburide has been unfairly trashed. It probably still has a place.”

 

 

As Dr. Landon sees it, research published in 2015 put a damper on the use of glyburide, which “had become the number one agent” after an earlier, seminal trial, led by Oded Langer, MD, had shown equivalent glycemic control in about 400 women with GDM who were randomized to receive either insulin or glyburide (N Engl J Med. 2000;343;1134-8). The trial was not powered to evaluate other outcomes, but there were no significant differences in neonatal complications, Dr. Landon said.

One of the 2015 studies – a large, retrospective, population-based study of more than 9,000 women with GDM treated with glyburide or insulin – showed a higher risk of admission to the neonatal intensive care unit (relative risk, 1.41), hypoglycemia in the newborn (RR, 1.40), and large-for-gestational age (RR, 1.43) with glyburide, compared with insulin (JAMA Pediatr. 2015;169[5]:452-8).

A meta-analysis of glyburide, metformin, and insulin showed significant differences between glyburide and insulin in birth weight, macrosomia (RR, 2.62), and neonatal hypoglycemia (RR, 2.04; BMJ. 2015;350;h102). However, “this was basically a conglomeration of studies with about 50 [individuals] in each arm, and in which entry criteria for the diagnosis of GDM were rather heterogeneous,” said Dr. Landon. “There are real problems with this and other meta-analyses.”

The authors of a 2018 multicenter, noninferiority, randomized, controlled trial of about 900 women concluded that their study failed to show that the use of glyburide, compared with insulin, does not result in a greater frequency of perinatal complications. The authors also wrote, however, that the “increase in perinatal complications [with glyburide] may be no more than 10.5%, compared with insulin” (JAMA. 2018;319[17]:1773-80).

That increase, Dr. Landon said, was “not an absolute 10%, but 10% of the complication rate, which probably translates to about 2%.” The only component of a composite outcome (including macrosomia, hypoglycemia, and hyperbilirubinemia) that was significantly different, he noted, was hypoglycemia, which affected 12.2% of neonates in the glyburide group and 7.2% in the insulin group.

Glyburide’s role may well be substantiated in the future, Dr. Landon said during a discussion period at the meeting, through research underway at the University of Pittsburgh aimed at tailoring treatment to the underlying pathophysiology of a patient’s GDM.

The MATCh-GDM study (Metabolic Analysis for Treatment Choice in GDM) is randomizing women to receive usual, unmatched treatment or treatment matched to GDM mechanism – metformin for predominant insulin resistance, glyburide or insulin for predominant insulin secretion defects, and one of the three for combined mechanisms. The study’s principal investigator, Maisa Feghali, MD, of the department of obstetrics, gynecology, and reproductive sciences at the University of Pittsburgh, stressed in a presentation on the study that GDM is a heterogeneous condition and that research is needed to understand the impact of GDM subtypes on treatment response.
 

Metformin outcomes

Concerns about the impact of metformin on short-term perinatal outcomes focus on preterm birth, Dr. Landon said. The only study to date that has shown an increased rate of prematurity, however, is the “seminal” Metformin in Gestational Diabetes (MiG) trial led by Janet A. Rowan, MBChB, that randomized 751 women with GDM in Australia and New Zealand to treatment with metformin or insulin. The researchers found no significant differences between a composite of neonatal complications but did establish that severe hypoglycemia was less common in the metformin group and preterm birth was more common (N Engl J Med. 2008;358:2003-15).

 

 

A 2016 systematic review and meta-analysis of short- and long-term outcomes of metformin, compared with insulin, found that metformin did not increase preterm delivery (Diabet Med. 2017;34[1]:27-36). And while the 2015 BMJ meta-analysis found that metformin was associated with higher rates of preterm birth (RR, 1.50), the increased risk “was all driven by the Rowan study,” Dr. Landon said. The 2015 meta-analysis also found that metformin was associated with less maternal weight gain and fewer infants who were large for gestational age.

Metformin is also tainted by high rates of failure in GDM. In the 2008 Rowan study, 46% of patients on metformin failed to achieve glycemic control. “But this is a classic half-full, half-empty [phenomena],” Dr. Landon said. “Some people say this isn’t good, but on the other hand, 54% avoided insulin.”

Indeed, the Society of Maternal-Fetal Medicine (SMFM), in its 2018 statement on the pharmacologic treatment of GDM, said that oral hypoglycemic agents that are used as monotherapy work in “more than half” of GDM pregnancies. The need for adjunctive insulin to achieve glycemic control ranges between 26% and 46% for women using metformin, and 4% and 16% for women using glyburide, it says.

In the society’s view, recent meta-analyses and systemic reviews “support the efficacy and safety of oral agents,” and “although concerns have been raised for more frequent adverse neonatal outcomes with glyburide, including macrosomia and hypoglycemia, the evidence of benefit of one oral agent over the other remains limited.”

The society says that the difference between its statement and the ACOG recommendations is “based on the values placed by different experts and providers on the available evidence,” and it adds that more long-term data are needed.

But as Dr. Landon said, the SMFM is “a little more forgiving” in its interpretation of a limited body of literature. And clinicians, in the meantime, have to navigate the controversy. “The professional organizations don’t make it easy for [us],” he said. At this point, “insulin does not cross the placenta, and the oral agents do cross it. Informed consent is absolutely necessary when choosing oral agents for treating GDM.”
 

Offspring well-being

Of greater concern than neonatal outcomes are the potential long-term issues for offspring, Dr. Landon said. On the one hand, it is theorized that metformin may protect beta-cell function in offspring and thereby reduce the cross-generational effects of obesity and type 2 diabetes. On the other hand, it is theorized that the drug may cause a decrease in cell-cycle proliferation, which could have “unknown fetal programming effects,” and it may inhibit the mTOR signaling pathway, thus restricting the transport of glucose and amino acids across the placenta, he said. (Findings from in vitro research have suggested that glyburide treatment in GDM might be associated with enhanced transport across the placenta, he noted.)

Long-term follow-up studies of offspring are “clearly needed,” Dr. Landon said. At this point, in regard to long-term safety, he and other experts are concerned primarily about the potential for obesity and metabolic dysfunction in offspring who are exposed to metformin in utero. They are watching follow-up from Dr. Rowan’s MiG trial, as well as elsewhere in the literature, on metformin-exposed offspring from mothers with polycystic ovary syndrome.

A follow-up analysis of offspring from the MiG trial found that children of women with GDM who were exposed to metformin had larger measures of subcutaneous fat at age 2 years, compared with children of mothers treated with insulin alone, but that overall body fat was the same, Dr. Landon noted. The investigators postulated that these children may have less visceral fat and a more favorable pattern of fat distribution (Diab Care. 2011;34:2279-84).

A recently published follow-up analysis of two randomized, controlled trials of women with polycystic ovary syndrome is cause for more concern, he said. That analysis showed that offspring exposed to metformin in utero had a higher body mass index and an increased prevalence of obesity or overweight at age 4 years, compared with placebo groups (J Clin Endocrinol Metab. 2018;103[4]:1612-21).

That analysis of metformin-exposed offspring in the context of polycystic ovary syndrome was published after the SMFM statement, as was another follow-up analysis of MiG trial offspring – this one, at ages 7-9 years – that showed an increase in weight, size, and fat mass in one of two subsets analyzed, despite no difference in large-for-gestational age rates between the metformin- and insulin-exposed offspring (BMJ Open Diabetes Res Care. 2018;6[1]: e000456).

In 2018, a group of 17 prominent diabetes and maternal-fetal medicine researchers cited these findings in a response to the SMFM statement and cautioned against the widespread adoption of metformin use during pregnancy, writing that, based on “both pharmacologic and randomized trial evidence that metformin may create an atypical intrauterine environment ... we believe it is premature to embrace metformin as equivalent to insulin or as superior to glyburide, and that patients should be counseled on the limited long-term safety data and potential for adverse childhood metabolic effects” (Am J Obstet Gynecol. 2018;219[4]:367.e1-7).

– Pharmacologic treatment of gestational diabetes remains controversial, with the American College of Obstetricians and Gynecologists and the American Diabetes Association firmly recommending insulin as the preferred first-line pharmacologic therapy, and the Society of Maternal-Fetal Medicine more accepting of metformin as a “reasonable and safe first-line” alternative to insulin and stating that there are no strong data supporting metformin over the sulfonylurea glyburide.

If there’s one main take-away, Mark B. Landon, MD, said at the biennial meeting of the Diabetes in Pregnancy Study Group of North America, it was that “the primary concern” about the use of oral agents for treating gestational diabetes mellitus (GDM) is that there is limited long-term follow-up of exposed offspring.

“The claim that long-term safety data are not available for any oral agent is probably the most valid warning [of any of the concerns voiced by professional organizations],” said Dr. Landon, Richard L. Meiling professor and chair of the department of obstetrics and gynecology at The Ohio State University Wexner Medical Center, Columbus.

Otherwise, he said, there are not enough data to firmly prioritize the drugs most commonly used for GDM, and “the superiority of insulin over oral agents simply remains questionable.”

ACOG’s 2017 level A recommendation for insulin as the first-line option when pharmacologic treatment is needed for treating GDM (Obstet Gynecol. 2017;130[1]:e17-37) was followed in 2018 by another updated practice bulletin on GDM (Obstet Gynecol. 2018;131[2]:e49-64) that considered several meta-analyses published in 2017 and reiterated a preference for insulin.

Those recent meta-analyses of pharmacologic treatment of GDM show that the available literature is generally of “poor trial quality,” and that studies are small and not designed to assess equivalence or noninferiority, Mark Turrentine, MD, chair of ACOG’s committee on practice bulletins, said in an interview. “Taking that into account and [considering] that oral antidiabetic medications are not approved by the Food and Drug Administration [for the treatment of GDM], that they cross the placenta, and that we currently lack long-term neonatal safety data ... we felt that insulin is the preferred treatment.”

In its 2017 and 2018 bulletins, ACOG said that metformin is a “reasonable alternative choice” for women who decline insulin therapy or who may be unable to safely administer it (a level B recommendation). The 2018 practice bulletin mentions one additional factor: affordability. “Insurance companies aren’t always covering [insulin],” said Dr. Turrentine, of the department of obstetrics and gynecology, Baylor College of Medicine, Houston. “It’s a challenge – no question.”

ACOG says glyburide should not be recommended as a first-line pharmacologic treatment, “because, in most studies, it does not yield outcomes equivalent to insulin or metformin,” Dr. Turrentine emphasized.
 

Glyburide’s role

Dr. Landon took issue with ACOG’s stance on the sulfonylurea. “Frankly, I think this [conclusion] is debatable,” he said. The trend in the United States – “at least after the 2017 ACOG document came out”– has been toward use of metformin over glyburide when an oral agent is [used], but “I think glyburide has been unfairly trashed. It probably still has a place.”

 

 

As Dr. Landon sees it, research published in 2015 put a damper on the use of glyburide, which “had become the number one agent” after an earlier, seminal trial, led by Oded Langer, MD, had shown equivalent glycemic control in about 400 women with GDM who were randomized to receive either insulin or glyburide (N Engl J Med. 2000;343;1134-8). The trial was not powered to evaluate other outcomes, but there were no significant differences in neonatal complications, Dr. Landon said.

One of the 2015 studies – a large, retrospective, population-based study of more than 9,000 women with GDM treated with glyburide or insulin – showed a higher risk of admission to the neonatal intensive care unit (relative risk, 1.41), hypoglycemia in the newborn (RR, 1.40), and large-for-gestational age (RR, 1.43) with glyburide, compared with insulin (JAMA Pediatr. 2015;169[5]:452-8).

A meta-analysis of glyburide, metformin, and insulin showed significant differences between glyburide and insulin in birth weight, macrosomia (RR, 2.62), and neonatal hypoglycemia (RR, 2.04; BMJ. 2015;350;h102). However, “this was basically a conglomeration of studies with about 50 [individuals] in each arm, and in which entry criteria for the diagnosis of GDM were rather heterogeneous,” said Dr. Landon. “There are real problems with this and other meta-analyses.”

The authors of a 2018 multicenter, noninferiority, randomized, controlled trial of about 900 women concluded that their study failed to show that the use of glyburide, compared with insulin, does not result in a greater frequency of perinatal complications. The authors also wrote, however, that the “increase in perinatal complications [with glyburide] may be no more than 10.5%, compared with insulin” (JAMA. 2018;319[17]:1773-80).

That increase, Dr. Landon said, was “not an absolute 10%, but 10% of the complication rate, which probably translates to about 2%.” The only component of a composite outcome (including macrosomia, hypoglycemia, and hyperbilirubinemia) that was significantly different, he noted, was hypoglycemia, which affected 12.2% of neonates in the glyburide group and 7.2% in the insulin group.

Glyburide’s role may well be substantiated in the future, Dr. Landon said during a discussion period at the meeting, through research underway at the University of Pittsburgh aimed at tailoring treatment to the underlying pathophysiology of a patient’s GDM.

The MATCh-GDM study (Metabolic Analysis for Treatment Choice in GDM) is randomizing women to receive usual, unmatched treatment or treatment matched to GDM mechanism – metformin for predominant insulin resistance, glyburide or insulin for predominant insulin secretion defects, and one of the three for combined mechanisms. The study’s principal investigator, Maisa Feghali, MD, of the department of obstetrics, gynecology, and reproductive sciences at the University of Pittsburgh, stressed in a presentation on the study that GDM is a heterogeneous condition and that research is needed to understand the impact of GDM subtypes on treatment response.
 

Metformin outcomes

Concerns about the impact of metformin on short-term perinatal outcomes focus on preterm birth, Dr. Landon said. The only study to date that has shown an increased rate of prematurity, however, is the “seminal” Metformin in Gestational Diabetes (MiG) trial led by Janet A. Rowan, MBChB, that randomized 751 women with GDM in Australia and New Zealand to treatment with metformin or insulin. The researchers found no significant differences between a composite of neonatal complications but did establish that severe hypoglycemia was less common in the metformin group and preterm birth was more common (N Engl J Med. 2008;358:2003-15).

 

 

A 2016 systematic review and meta-analysis of short- and long-term outcomes of metformin, compared with insulin, found that metformin did not increase preterm delivery (Diabet Med. 2017;34[1]:27-36). And while the 2015 BMJ meta-analysis found that metformin was associated with higher rates of preterm birth (RR, 1.50), the increased risk “was all driven by the Rowan study,” Dr. Landon said. The 2015 meta-analysis also found that metformin was associated with less maternal weight gain and fewer infants who were large for gestational age.

Metformin is also tainted by high rates of failure in GDM. In the 2008 Rowan study, 46% of patients on metformin failed to achieve glycemic control. “But this is a classic half-full, half-empty [phenomena],” Dr. Landon said. “Some people say this isn’t good, but on the other hand, 54% avoided insulin.”

Indeed, the Society of Maternal-Fetal Medicine (SMFM), in its 2018 statement on the pharmacologic treatment of GDM, said that oral hypoglycemic agents that are used as monotherapy work in “more than half” of GDM pregnancies. The need for adjunctive insulin to achieve glycemic control ranges between 26% and 46% for women using metformin, and 4% and 16% for women using glyburide, it says.

In the society’s view, recent meta-analyses and systemic reviews “support the efficacy and safety of oral agents,” and “although concerns have been raised for more frequent adverse neonatal outcomes with glyburide, including macrosomia and hypoglycemia, the evidence of benefit of one oral agent over the other remains limited.”

The society says that the difference between its statement and the ACOG recommendations is “based on the values placed by different experts and providers on the available evidence,” and it adds that more long-term data are needed.

But as Dr. Landon said, the SMFM is “a little more forgiving” in its interpretation of a limited body of literature. And clinicians, in the meantime, have to navigate the controversy. “The professional organizations don’t make it easy for [us],” he said. At this point, “insulin does not cross the placenta, and the oral agents do cross it. Informed consent is absolutely necessary when choosing oral agents for treating GDM.”
 

Offspring well-being

Of greater concern than neonatal outcomes are the potential long-term issues for offspring, Dr. Landon said. On the one hand, it is theorized that metformin may protect beta-cell function in offspring and thereby reduce the cross-generational effects of obesity and type 2 diabetes. On the other hand, it is theorized that the drug may cause a decrease in cell-cycle proliferation, which could have “unknown fetal programming effects,” and it may inhibit the mTOR signaling pathway, thus restricting the transport of glucose and amino acids across the placenta, he said. (Findings from in vitro research have suggested that glyburide treatment in GDM might be associated with enhanced transport across the placenta, he noted.)

Long-term follow-up studies of offspring are “clearly needed,” Dr. Landon said. At this point, in regard to long-term safety, he and other experts are concerned primarily about the potential for obesity and metabolic dysfunction in offspring who are exposed to metformin in utero. They are watching follow-up from Dr. Rowan’s MiG trial, as well as elsewhere in the literature, on metformin-exposed offspring from mothers with polycystic ovary syndrome.

A follow-up analysis of offspring from the MiG trial found that children of women with GDM who were exposed to metformin had larger measures of subcutaneous fat at age 2 years, compared with children of mothers treated with insulin alone, but that overall body fat was the same, Dr. Landon noted. The investigators postulated that these children may have less visceral fat and a more favorable pattern of fat distribution (Diab Care. 2011;34:2279-84).

A recently published follow-up analysis of two randomized, controlled trials of women with polycystic ovary syndrome is cause for more concern, he said. That analysis showed that offspring exposed to metformin in utero had a higher body mass index and an increased prevalence of obesity or overweight at age 4 years, compared with placebo groups (J Clin Endocrinol Metab. 2018;103[4]:1612-21).

That analysis of metformin-exposed offspring in the context of polycystic ovary syndrome was published after the SMFM statement, as was another follow-up analysis of MiG trial offspring – this one, at ages 7-9 years – that showed an increase in weight, size, and fat mass in one of two subsets analyzed, despite no difference in large-for-gestational age rates between the metformin- and insulin-exposed offspring (BMJ Open Diabetes Res Care. 2018;6[1]: e000456).

In 2018, a group of 17 prominent diabetes and maternal-fetal medicine researchers cited these findings in a response to the SMFM statement and cautioned against the widespread adoption of metformin use during pregnancy, writing that, based on “both pharmacologic and randomized trial evidence that metformin may create an atypical intrauterine environment ... we believe it is premature to embrace metformin as equivalent to insulin or as superior to glyburide, and that patients should be counseled on the limited long-term safety data and potential for adverse childhood metabolic effects” (Am J Obstet Gynecol. 2018;219[4]:367.e1-7).

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