Diabetes

Reports from pediatric endocrinologists in COVID-19 hot spots globally indicate that children, adolescents, and young adults with diabetes have so far not shown a different disease pattern with the virus compared to children and younger people who do not have diabetes.

Indeed, colleagues in Wuhan, China, and Italy “state they have not had cases of COVID-19 in children, adolescents, or young adults less than 25 years of age with diabetes who required hospitalization, to date [as of March 24]” according to a new statement from the International Society for Pediatric and Adolescent Diabetes (ISPAD), which currently has about 1,300 members around the globe and has instituted a discussion forum about the topic of treating children with both diabetes and COVID-19.

“We find these reports [from colleagues around the world], though anecdotal, to be reassuring,” it notes. However, there are real worries regarding other potentially dangerous effects. ISPAD has expressed concern, for example, that the COVID-19 pandemic will prevent youngsters with existing diabetes who are having diabetic emergencies from seeking hospital care.

Chinese physicians have reported to ISPAD a number of cases of delayed hospital admissions for diabetic ketoacidosis (DKA) in children with known type 1 diabetes because hospital services were closed for non–COVID-19 care.

Andrea Scaramuzza, MD, a pediatric endocrinologist at Ospedale Maggiore di Cremona, Italy, has similarly reported multiple cases of patients presenting to emergency services there with severe DKA.

“These experiences reinforce the importance of continued attentiveness to standard diabetes care to avoid the need for hospitalization and emergency or urgent care visits,” says ISPAD, under the strapline: “Keep calm and mind your diabetes care.”

But it nevertheless stresses that these resources should be used “if needed.”
 

Worries that new-onset diabetes will be missed during COVID-19

Dr. Scaramuzza said in an interview that there also are concerns regarding delays in diagnoses of new cases of type 1 diabetes “due to the fear families have to go to the emergency department because of COVID-19.”

Indeed, in Italy, a few patients have arrived with very serious DKA, he said. Dr. Scaramuzza noted a colleague from Naples, Dario Iafusco, MD, and colleagues have made a video to keep awareness high regarding new-onset diabetes.

“This coronavirus pandemic can be defeated if you stay at home, but if you know of a child who has excessive thirst, frequent urination, or who starts vomiting,” seek health care advice immediately. “This child could have [type 1] diabetes. Prevent severe DKA, or worse, death,” Dr. Iafusco of the Regional Centre of Paediatric Diabetology G.Stoppoloni Via S. Andrea delle Dame, Naples, said in the video.

Physicians from China have similar observations, reporting to ISPAD several cases of delayed admissions of newly diagnosed type 1 diabetes because hospital services were closed for non–COVID-19 care.
 

Keep calm and mind your diabetes care; physicians use telemedicine

Meanwhile, last week ISPAD issued guidance for young people with diabetes and their carers about what to do if COVID-19 infection is suspected.

Most advice is the same as for the general public because reports of COVID-19 infection suggest it is much less severe in children and adolescents, and the summary currently serves “as reassurance that youth with diabetes are not more affected by COVID-19 than peers,” it adds.

“Our approach to treating a child with diabetes would be to follow the ISPAD sick-day guidelines, which provide generalized diabetes management in any flu-like illness. We wouldn’t do anything very different right now,” one of the authors, Jamie Wood, MD, associate professor of clinical pediatrics at Case Western Reserve University, Cleveland, said in an interview.

“Any illness makes diabetes more difficult to manage and can increase the risk of DKA,” she emphasized.

“We would reinforce frequent monitoring of blood glucose and ketone levels, to never stop insulin – in fact, when most people are ill, the body is stressed and requires more insulin – and to stay hydrated and treat the underlying symptoms.”

And make sure to “treat the fever,” she stressed. “When patients with type 1 diabetes get fever, they have a tendency to make more ketones, so we recommend aggressive control of fever.”

ISPAD recommends young people aim to keep blood glucose levels between 4 and 10 mmol/L (72-180 mg/dL) and blood ketones below 0.6 mmol/L (10.8 mg/dL) during illness and to never stop insulin.

Guidance is provided on when to seek urgent specialist advice with possible referral to emergency care, for example, in cases in which the patient has DKA symptoms, such as persistent and/or worsened fruity breath odor or vomiting.

Dr. Scaramuzza said in an interview that, in Italy, he and his colleagues have increased their use of telemedicine to keep monitoring their patients with diabetes even from a distance and that it was working very well.

“Technology – such as downloading [records from] insulin pumps, continuous glucose monitoring systems, and the possibility to use Skype or other platforms – really helps,” he noted.

“There has been a rapid increase in telehealth as a way to continue to care for youth with diabetes and decrease risk for infection,” said ISPAD.

“Communication between patients, families, and health care teams is vitally important. Methods to do so that avoid visits to clinics or hospitals can provide needed diabetes advice and reduce risk for COVID-19 transmission.”

A version of this article originally appeared on Medscape.com.

Reports from pediatric endocrinologists in COVID-19 hot spots globally indicate that children, adolescents, and young adults with diabetes have so far not shown a different disease pattern with the virus compared to children and younger people who do not have diabetes.

Indeed, colleagues in Wuhan, China, and Italy “state they have not had cases of COVID-19 in children, adolescents, or young adults less than 25 years of age with diabetes who required hospitalization, to date [as of March 24]” according to a new statement from the International Society for Pediatric and Adolescent Diabetes (ISPAD), which currently has about 1,300 members around the globe and has instituted a discussion forum about the topic of treating children with both diabetes and COVID-19.

“We find these reports [from colleagues around the world], though anecdotal, to be reassuring,” it notes. However, there are real worries regarding other potentially dangerous effects. ISPAD has expressed concern, for example, that the COVID-19 pandemic will prevent youngsters with existing diabetes who are having diabetic emergencies from seeking hospital care.

Chinese physicians have reported to ISPAD a number of cases of delayed hospital admissions for diabetic ketoacidosis (DKA) in children with known type 1 diabetes because hospital services were closed for non–COVID-19 care.

Andrea Scaramuzza, MD, a pediatric endocrinologist at Ospedale Maggiore di Cremona, Italy, has similarly reported multiple cases of patients presenting to emergency services there with severe DKA.

“These experiences reinforce the importance of continued attentiveness to standard diabetes care to avoid the need for hospitalization and emergency or urgent care visits,” says ISPAD, under the strapline: “Keep calm and mind your diabetes care.”

But it nevertheless stresses that these resources should be used “if needed.”
 

Worries that new-onset diabetes will be missed during COVID-19

Dr. Scaramuzza said in an interview that there also are concerns regarding delays in diagnoses of new cases of type 1 diabetes “due to the fear families have to go to the emergency department because of COVID-19.”

Indeed, in Italy, a few patients have arrived with very serious DKA, he said. Dr. Scaramuzza noted a colleague from Naples, Dario Iafusco, MD, and colleagues have made a video to keep awareness high regarding new-onset diabetes.

“This coronavirus pandemic can be defeated if you stay at home, but if you know of a child who has excessive thirst, frequent urination, or who starts vomiting,” seek health care advice immediately. “This child could have [type 1] diabetes. Prevent severe DKA, or worse, death,” Dr. Iafusco of the Regional Centre of Paediatric Diabetology G.Stoppoloni Via S. Andrea delle Dame, Naples, said in the video.

Physicians from China have similar observations, reporting to ISPAD several cases of delayed admissions of newly diagnosed type 1 diabetes because hospital services were closed for non–COVID-19 care.
 

Keep calm and mind your diabetes care; physicians use telemedicine

Meanwhile, last week ISPAD issued guidance for young people with diabetes and their carers about what to do if COVID-19 infection is suspected.

Most advice is the same as for the general public because reports of COVID-19 infection suggest it is much less severe in children and adolescents, and the summary currently serves “as reassurance that youth with diabetes are not more affected by COVID-19 than peers,” it adds.

“Our approach to treating a child with diabetes would be to follow the ISPAD sick-day guidelines, which provide generalized diabetes management in any flu-like illness. We wouldn’t do anything very different right now,” one of the authors, Jamie Wood, MD, associate professor of clinical pediatrics at Case Western Reserve University, Cleveland, said in an interview.

“Any illness makes diabetes more difficult to manage and can increase the risk of DKA,” she emphasized.

“We would reinforce frequent monitoring of blood glucose and ketone levels, to never stop insulin – in fact, when most people are ill, the body is stressed and requires more insulin – and to stay hydrated and treat the underlying symptoms.”

And make sure to “treat the fever,” she stressed. “When patients with type 1 diabetes get fever, they have a tendency to make more ketones, so we recommend aggressive control of fever.”

ISPAD recommends young people aim to keep blood glucose levels between 4 and 10 mmol/L (72-180 mg/dL) and blood ketones below 0.6 mmol/L (10.8 mg/dL) during illness and to never stop insulin.

Guidance is provided on when to seek urgent specialist advice with possible referral to emergency care, for example, in cases in which the patient has DKA symptoms, such as persistent and/or worsened fruity breath odor or vomiting.

Dr. Scaramuzza said in an interview that, in Italy, he and his colleagues have increased their use of telemedicine to keep monitoring their patients with diabetes even from a distance and that it was working very well.

“Technology – such as downloading [records from] insulin pumps, continuous glucose monitoring systems, and the possibility to use Skype or other platforms – really helps,” he noted.

“There has been a rapid increase in telehealth as a way to continue to care for youth with diabetes and decrease risk for infection,” said ISPAD.

“Communication between patients, families, and health care teams is vitally important. Methods to do so that avoid visits to clinics or hospitals can provide needed diabetes advice and reduce risk for COVID-19 transmission.”

A version of this article originally appeared on Medscape.com.

Reports from pediatric endocrinologists in COVID-19 hot spots globally indicate that children, adolescents, and young adults with diabetes have so far not shown a different disease pattern with the virus compared to children and younger people who do not have diabetes.

Indeed, colleagues in Wuhan, China, and Italy “state they have not had cases of COVID-19 in children, adolescents, or young adults less than 25 years of age with diabetes who required hospitalization, to date [as of March 24]” according to a new statement from the International Society for Pediatric and Adolescent Diabetes (ISPAD), which currently has about 1,300 members around the globe and has instituted a discussion forum about the topic of treating children with both diabetes and COVID-19.

“We find these reports [from colleagues around the world], though anecdotal, to be reassuring,” it notes. However, there are real worries regarding other potentially dangerous effects. ISPAD has expressed concern, for example, that the COVID-19 pandemic will prevent youngsters with existing diabetes who are having diabetic emergencies from seeking hospital care.

Chinese physicians have reported to ISPAD a number of cases of delayed hospital admissions for diabetic ketoacidosis (DKA) in children with known type 1 diabetes because hospital services were closed for non–COVID-19 care.

Andrea Scaramuzza, MD, a pediatric endocrinologist at Ospedale Maggiore di Cremona, Italy, has similarly reported multiple cases of patients presenting to emergency services there with severe DKA.

“These experiences reinforce the importance of continued attentiveness to standard diabetes care to avoid the need for hospitalization and emergency or urgent care visits,” says ISPAD, under the strapline: “Keep calm and mind your diabetes care.”

But it nevertheless stresses that these resources should be used “if needed.”
 

Worries that new-onset diabetes will be missed during COVID-19

Dr. Scaramuzza said in an interview that there also are concerns regarding delays in diagnoses of new cases of type 1 diabetes “due to the fear families have to go to the emergency department because of COVID-19.”

Indeed, in Italy, a few patients have arrived with very serious DKA, he said. Dr. Scaramuzza noted a colleague from Naples, Dario Iafusco, MD, and colleagues have made a video to keep awareness high regarding new-onset diabetes.

“This coronavirus pandemic can be defeated if you stay at home, but if you know of a child who has excessive thirst, frequent urination, or who starts vomiting,” seek health care advice immediately. “This child could have [type 1] diabetes. Prevent severe DKA, or worse, death,” Dr. Iafusco of the Regional Centre of Paediatric Diabetology G.Stoppoloni Via S. Andrea delle Dame, Naples, said in the video.

Physicians from China have similar observations, reporting to ISPAD several cases of delayed admissions of newly diagnosed type 1 diabetes because hospital services were closed for non–COVID-19 care.
 

Keep calm and mind your diabetes care; physicians use telemedicine

Meanwhile, last week ISPAD issued guidance for young people with diabetes and their carers about what to do if COVID-19 infection is suspected.

Most advice is the same as for the general public because reports of COVID-19 infection suggest it is much less severe in children and adolescents, and the summary currently serves “as reassurance that youth with diabetes are not more affected by COVID-19 than peers,” it adds.

“Our approach to treating a child with diabetes would be to follow the ISPAD sick-day guidelines, which provide generalized diabetes management in any flu-like illness. We wouldn’t do anything very different right now,” one of the authors, Jamie Wood, MD, associate professor of clinical pediatrics at Case Western Reserve University, Cleveland, said in an interview.

“Any illness makes diabetes more difficult to manage and can increase the risk of DKA,” she emphasized.

“We would reinforce frequent monitoring of blood glucose and ketone levels, to never stop insulin – in fact, when most people are ill, the body is stressed and requires more insulin – and to stay hydrated and treat the underlying symptoms.”

And make sure to “treat the fever,” she stressed. “When patients with type 1 diabetes get fever, they have a tendency to make more ketones, so we recommend aggressive control of fever.”

ISPAD recommends young people aim to keep blood glucose levels between 4 and 10 mmol/L (72-180 mg/dL) and blood ketones below 0.6 mmol/L (10.8 mg/dL) during illness and to never stop insulin.

Guidance is provided on when to seek urgent specialist advice with possible referral to emergency care, for example, in cases in which the patient has DKA symptoms, such as persistent and/or worsened fruity breath odor or vomiting.

Dr. Scaramuzza said in an interview that, in Italy, he and his colleagues have increased their use of telemedicine to keep monitoring their patients with diabetes even from a distance and that it was working very well.

“Technology – such as downloading [records from] insulin pumps, continuous glucose monitoring systems, and the possibility to use Skype or other platforms – really helps,” he noted.

“There has been a rapid increase in telehealth as a way to continue to care for youth with diabetes and decrease risk for infection,” said ISPAD.

“Communication between patients, families, and health care teams is vitally important. Methods to do so that avoid visits to clinics or hospitals can provide needed diabetes advice and reduce risk for COVID-19 transmission.”

A version of this article originally appeared on Medscape.com.

PHOENIX – Lower baseline fitness and greater decline in fitness over time are independently associated with a higher risk of heart failure in patients with diabetes, results from a large analysis showed.

Doug Brunk/MDedge News

“Diabetes is an important risk factor for the development of heart failure, and the diagnosis of diabetes in newly diagnosed cases of heart failure has been increasing,” Ambarish Pandey, MD, said at the Epidemiology and Prevention/Lifestyle and Cardiometabolic Health meeting. “Type 2 diabetes is associated with increased burden of traditional risk factors such as hypertension, kidney dysfunction, and dyslipidemia – each of which in turn increase the risk of both atherothrombotic disease as well as heart failure.”

Recent data from the Swedish National Diabetes Register have shown that optimal management of these risk factors in patients with type 2 diabetes can actually mitigate the risk of atherosclerotic events such as acute MI, but the risk of heart failure does not significantly lower with optimal management of these traditional cardiovascular risk factors (N Engl J Med. 2018;379:633-44). “These findings highlight that novel approaches that go beyond just managing traditional cardiovascular risk factors are needed for prevention of heart failure in patients with type 2 diabetes,” said Dr. Pandey, of the division of cardiology at the University of Texas Southwestern Medical Center, Dallas. “Our group has demonstrated that physical inactivity and low levels of fitness are associated with a higher risk of heart failure. We have also shown that the protective effect of physical activity against heart failure risk is stronger against heart failure with preserved ejection fraction, which is a subtype of heart failure that is increasing in prevalence and has no effective therapies.”

Dr. Pandey and his colleagues set out to test the research hypothesis that fitness decline and increases in body mass index over time are significantly associated with a higher risk of heart failure. To do this, they drew from the LookAHEAD Trial, a multicenter analysis of 5,145 overweight or obese patients with type 2 diabetes who were randomized to an intensive lifestyle intervention or to usual care. The intervention consisted of a caloric intake goal of 1,200 to 1,800 kcal per day and engaging in at least 175 minutes per week of physical activity. Participants were stratified into one of three fitness group levels: low, moderate, and high, from 5 metabolic equivalents (METs) in the lowest fitness tertile to 9 METs in the highest fitness tertile. The primary outcome of the trial was adverse cardiovascular events. The intervention was implemented for almost 10 years, and patients were followed for up to 12 years from baseline.

The heart failure outcomes were not systematically adjudicated in the primary LookAHEAD trial, so Dr. Pandey and colleagues conducted an ancillary study of all incident hospitalizations in the study and followed them for 2 additional years. Overall, the researchers identified 257 incident heart failure events. The cumulative incidence of heart failure for the usual care versus the intensive lifestyle intervention arm was not statistically different (an event rate of 4.53 vs. 4.32 per 1,000 person-years, respectively; hazard ratio, 0.96). “This demonstrated that the intensive lifestyle intervention in the LookAHEAD trial did not significantly modify the risk of heart failure,” Dr. Pandey said.

However, an adjusted analysis revealed that the risk of heart failure was 39% lower in the moderately fit group and 62% lower in the high fit group, compared with the low-fitness group. Among heart failure subtypes, the risk of heart failure with preserved ejection fraction (HFpEF) was 40% lower in the moderately fit group and 77% lower in the high-fitness group. On the other hand, baseline level of fitness level was not associated with risk of heart failure reduced ejection fraction (HFrEF) after the researchers adjusted for cardiovascular risk factors.

Next, Dr. Pandey and his colleagues used Cox modeling to examine the association of baseline and longitudinal changes in fitness and BMI with risk of heart failure. For change in fitness and BMI analysis, they used the 4-year follow-up data in 3,092 participants who underwent repeat fitness testing and had available data on BMI. They excluded patients who developed heart failure within the first 4 years of the study.

The mean age of the ancillary study population was about 60 years, and there was a lower proportion of women in the high fitness tertile (41%). The researchers observed a graded, inverse association between higher fitness levels and lower risk of heart failure such that increasing fitness from baseline was associated with a substantial decrease in the risk of heart failure. Specifically, a 10% decline in fitness over the 4 years of follow-up was associated with a 11% increase in the overall risk of heart failure (HR, 1.11). “This was largely consistent with the two heart failure subtypes,” he said. Similarly, a 10% increase in BMI over the 4 years of follow-up was associated with a 25% increase in the overall risk of heart failure (HR 1.25). On the other hand, a 10% decrease BMI was associated with a 20% decrease in the risk of heart failure (HR .80). This was also largely consistent for both heart failure subtypes. According to co-lead investigator Kershaw Patel, MD, “these findings suggest that therapies targeting large and sustained improvements in fitness and weight loss may modify the risk of heart failure among patients with diabetes.”

“Lower fitness at baseline was more strongly associated with the risk of HFpEF vs. HFrEF, and greater weight loss over follow-up is associated with a lower risk of heart failure independent of changes in other risk factors,” Dr. Pandey concluded at the meeting, which was sponsored by the American Heart Association.

In an interview, session moderator Joshua J. Joseph, MD, said that it remains unclear what type of setting is ideal for carrying out cardiorespiratory fitness in this patient population. “What is the supervision needed for that to occur?” asked Dr. Joseph, of The Ohio State University, Columbus. “Can patients do this on their own, or do they need guidance? What is the best approach? That’s the question we all have to answer individually in our own communities.”

Dr. Pandey reported having no disclosures.

[email protected]

SOURCE: Pandey A. Epi/Lifestyle 2020, Abstract 16.

PHOENIX – Lower baseline fitness and greater decline in fitness over time are independently associated with a higher risk of heart failure in patients with diabetes, results from a large analysis showed.

Doug Brunk/MDedge News

“Diabetes is an important risk factor for the development of heart failure, and the diagnosis of diabetes in newly diagnosed cases of heart failure has been increasing,” Ambarish Pandey, MD, said at the Epidemiology and Prevention/Lifestyle and Cardiometabolic Health meeting. “Type 2 diabetes is associated with increased burden of traditional risk factors such as hypertension, kidney dysfunction, and dyslipidemia – each of which in turn increase the risk of both atherothrombotic disease as well as heart failure.”

Recent data from the Swedish National Diabetes Register have shown that optimal management of these risk factors in patients with type 2 diabetes can actually mitigate the risk of atherosclerotic events such as acute MI, but the risk of heart failure does not significantly lower with optimal management of these traditional cardiovascular risk factors (N Engl J Med. 2018;379:633-44). “These findings highlight that novel approaches that go beyond just managing traditional cardiovascular risk factors are needed for prevention of heart failure in patients with type 2 diabetes,” said Dr. Pandey, of the division of cardiology at the University of Texas Southwestern Medical Center, Dallas. “Our group has demonstrated that physical inactivity and low levels of fitness are associated with a higher risk of heart failure. We have also shown that the protective effect of physical activity against heart failure risk is stronger against heart failure with preserved ejection fraction, which is a subtype of heart failure that is increasing in prevalence and has no effective therapies.”

Dr. Pandey and his colleagues set out to test the research hypothesis that fitness decline and increases in body mass index over time are significantly associated with a higher risk of heart failure. To do this, they drew from the LookAHEAD Trial, a multicenter analysis of 5,145 overweight or obese patients with type 2 diabetes who were randomized to an intensive lifestyle intervention or to usual care. The intervention consisted of a caloric intake goal of 1,200 to 1,800 kcal per day and engaging in at least 175 minutes per week of physical activity. Participants were stratified into one of three fitness group levels: low, moderate, and high, from 5 metabolic equivalents (METs) in the lowest fitness tertile to 9 METs in the highest fitness tertile. The primary outcome of the trial was adverse cardiovascular events. The intervention was implemented for almost 10 years, and patients were followed for up to 12 years from baseline.

The heart failure outcomes were not systematically adjudicated in the primary LookAHEAD trial, so Dr. Pandey and colleagues conducted an ancillary study of all incident hospitalizations in the study and followed them for 2 additional years. Overall, the researchers identified 257 incident heart failure events. The cumulative incidence of heart failure for the usual care versus the intensive lifestyle intervention arm was not statistically different (an event rate of 4.53 vs. 4.32 per 1,000 person-years, respectively; hazard ratio, 0.96). “This demonstrated that the intensive lifestyle intervention in the LookAHEAD trial did not significantly modify the risk of heart failure,” Dr. Pandey said.

However, an adjusted analysis revealed that the risk of heart failure was 39% lower in the moderately fit group and 62% lower in the high fit group, compared with the low-fitness group. Among heart failure subtypes, the risk of heart failure with preserved ejection fraction (HFpEF) was 40% lower in the moderately fit group and 77% lower in the high-fitness group. On the other hand, baseline level of fitness level was not associated with risk of heart failure reduced ejection fraction (HFrEF) after the researchers adjusted for cardiovascular risk factors.

Next, Dr. Pandey and his colleagues used Cox modeling to examine the association of baseline and longitudinal changes in fitness and BMI with risk of heart failure. For change in fitness and BMI analysis, they used the 4-year follow-up data in 3,092 participants who underwent repeat fitness testing and had available data on BMI. They excluded patients who developed heart failure within the first 4 years of the study.

The mean age of the ancillary study population was about 60 years, and there was a lower proportion of women in the high fitness tertile (41%). The researchers observed a graded, inverse association between higher fitness levels and lower risk of heart failure such that increasing fitness from baseline was associated with a substantial decrease in the risk of heart failure. Specifically, a 10% decline in fitness over the 4 years of follow-up was associated with a 11% increase in the overall risk of heart failure (HR, 1.11). “This was largely consistent with the two heart failure subtypes,” he said. Similarly, a 10% increase in BMI over the 4 years of follow-up was associated with a 25% increase in the overall risk of heart failure (HR 1.25). On the other hand, a 10% decrease BMI was associated with a 20% decrease in the risk of heart failure (HR .80). This was also largely consistent for both heart failure subtypes. According to co-lead investigator Kershaw Patel, MD, “these findings suggest that therapies targeting large and sustained improvements in fitness and weight loss may modify the risk of heart failure among patients with diabetes.”

“Lower fitness at baseline was more strongly associated with the risk of HFpEF vs. HFrEF, and greater weight loss over follow-up is associated with a lower risk of heart failure independent of changes in other risk factors,” Dr. Pandey concluded at the meeting, which was sponsored by the American Heart Association.

In an interview, session moderator Joshua J. Joseph, MD, said that it remains unclear what type of setting is ideal for carrying out cardiorespiratory fitness in this patient population. “What is the supervision needed for that to occur?” asked Dr. Joseph, of The Ohio State University, Columbus. “Can patients do this on their own, or do they need guidance? What is the best approach? That’s the question we all have to answer individually in our own communities.”

Dr. Pandey reported having no disclosures.

[email protected]

SOURCE: Pandey A. Epi/Lifestyle 2020, Abstract 16.

PHOENIX – Lower baseline fitness and greater decline in fitness over time are independently associated with a higher risk of heart failure in patients with diabetes, results from a large analysis showed.

Doug Brunk/MDedge News

“Diabetes is an important risk factor for the development of heart failure, and the diagnosis of diabetes in newly diagnosed cases of heart failure has been increasing,” Ambarish Pandey, MD, said at the Epidemiology and Prevention/Lifestyle and Cardiometabolic Health meeting. “Type 2 diabetes is associated with increased burden of traditional risk factors such as hypertension, kidney dysfunction, and dyslipidemia – each of which in turn increase the risk of both atherothrombotic disease as well as heart failure.”

Recent data from the Swedish National Diabetes Register have shown that optimal management of these risk factors in patients with type 2 diabetes can actually mitigate the risk of atherosclerotic events such as acute MI, but the risk of heart failure does not significantly lower with optimal management of these traditional cardiovascular risk factors (N Engl J Med. 2018;379:633-44). “These findings highlight that novel approaches that go beyond just managing traditional cardiovascular risk factors are needed for prevention of heart failure in patients with type 2 diabetes,” said Dr. Pandey, of the division of cardiology at the University of Texas Southwestern Medical Center, Dallas. “Our group has demonstrated that physical inactivity and low levels of fitness are associated with a higher risk of heart failure. We have also shown that the protective effect of physical activity against heart failure risk is stronger against heart failure with preserved ejection fraction, which is a subtype of heart failure that is increasing in prevalence and has no effective therapies.”

Dr. Pandey and his colleagues set out to test the research hypothesis that fitness decline and increases in body mass index over time are significantly associated with a higher risk of heart failure. To do this, they drew from the LookAHEAD Trial, a multicenter analysis of 5,145 overweight or obese patients with type 2 diabetes who were randomized to an intensive lifestyle intervention or to usual care. The intervention consisted of a caloric intake goal of 1,200 to 1,800 kcal per day and engaging in at least 175 minutes per week of physical activity. Participants were stratified into one of three fitness group levels: low, moderate, and high, from 5 metabolic equivalents (METs) in the lowest fitness tertile to 9 METs in the highest fitness tertile. The primary outcome of the trial was adverse cardiovascular events. The intervention was implemented for almost 10 years, and patients were followed for up to 12 years from baseline.

The heart failure outcomes were not systematically adjudicated in the primary LookAHEAD trial, so Dr. Pandey and colleagues conducted an ancillary study of all incident hospitalizations in the study and followed them for 2 additional years. Overall, the researchers identified 257 incident heart failure events. The cumulative incidence of heart failure for the usual care versus the intensive lifestyle intervention arm was not statistically different (an event rate of 4.53 vs. 4.32 per 1,000 person-years, respectively; hazard ratio, 0.96). “This demonstrated that the intensive lifestyle intervention in the LookAHEAD trial did not significantly modify the risk of heart failure,” Dr. Pandey said.

However, an adjusted analysis revealed that the risk of heart failure was 39% lower in the moderately fit group and 62% lower in the high fit group, compared with the low-fitness group. Among heart failure subtypes, the risk of heart failure with preserved ejection fraction (HFpEF) was 40% lower in the moderately fit group and 77% lower in the high-fitness group. On the other hand, baseline level of fitness level was not associated with risk of heart failure reduced ejection fraction (HFrEF) after the researchers adjusted for cardiovascular risk factors.

Next, Dr. Pandey and his colleagues used Cox modeling to examine the association of baseline and longitudinal changes in fitness and BMI with risk of heart failure. For change in fitness and BMI analysis, they used the 4-year follow-up data in 3,092 participants who underwent repeat fitness testing and had available data on BMI. They excluded patients who developed heart failure within the first 4 years of the study.

The mean age of the ancillary study population was about 60 years, and there was a lower proportion of women in the high fitness tertile (41%). The researchers observed a graded, inverse association between higher fitness levels and lower risk of heart failure such that increasing fitness from baseline was associated with a substantial decrease in the risk of heart failure. Specifically, a 10% decline in fitness over the 4 years of follow-up was associated with a 11% increase in the overall risk of heart failure (HR, 1.11). “This was largely consistent with the two heart failure subtypes,” he said. Similarly, a 10% increase in BMI over the 4 years of follow-up was associated with a 25% increase in the overall risk of heart failure (HR 1.25). On the other hand, a 10% decrease BMI was associated with a 20% decrease in the risk of heart failure (HR .80). This was also largely consistent for both heart failure subtypes. According to co-lead investigator Kershaw Patel, MD, “these findings suggest that therapies targeting large and sustained improvements in fitness and weight loss may modify the risk of heart failure among patients with diabetes.”

“Lower fitness at baseline was more strongly associated with the risk of HFpEF vs. HFrEF, and greater weight loss over follow-up is associated with a lower risk of heart failure independent of changes in other risk factors,” Dr. Pandey concluded at the meeting, which was sponsored by the American Heart Association.

In an interview, session moderator Joshua J. Joseph, MD, said that it remains unclear what type of setting is ideal for carrying out cardiorespiratory fitness in this patient population. “What is the supervision needed for that to occur?” asked Dr. Joseph, of The Ohio State University, Columbus. “Can patients do this on their own, or do they need guidance? What is the best approach? That’s the question we all have to answer individually in our own communities.”

Dr. Pandey reported having no disclosures.

[email protected]

SOURCE: Pandey A. Epi/Lifestyle 2020, Abstract 16.

PHOENIX, ARIZ. – Cardiovascular disease risk factors differ significantly between three black ethnic subgroups in the United States, compared with whites, results from a large, long-term cross-sectional study show.

Doug Brunk/MDedge News

“Race alone does not account for health disparities in CVD risk factors,” lead author Diana Baptiste, DNP, RN, CNE, said at the Epidemiology and Prevention/Lifestyle and Cardiometabolic Health meeting. “We must consider the environmental, psychosocial, and social factors that may play a larger role in CVD risk among these populations.”

Dr. Baptiste, of the Johns Hopkins University School of Nursing Center for Cardiovascular and Chronic Care in Baltimore, noted that blacks bear a disproportionately greater burden of CVD than that of any other racial group. “Blacks living in the U.S. are not monolithic and include different ethnic subgroups: African Americans, Afro-Caribbeans, defined as black persons who are born in the Caribbean islands, and African immigrants, defined as black persons who are born in Africa,” she said. “It is unclear how Afro-Caribbeans and African immigrants compare to African Americans and whites with regard to CVD risk factors.”

To examine trends in CVD risk factors among the three black ethnic subgroups compared with whites, she and her colleagues performed a cross-sectional analysis of 452,997 adults who participated in the 2010-2018 National Health Interview Survey (NHIS). Of these, 82% were white and 18% were black. Among blacks, 89% were African Americans, 6% were Afro-Caribbeans, and 5% were African immigrants. Outcomes of interest were four self-reported CVD risk factors: hypertension, diabetes, overweight/obesity, and smoking. The researchers used generalized linear models with Poisson distribution to calculate predictive probabilities of CVD risk factors, adjusted for age and sex.

Dr. Baptiste reported that African immigrants represented the youngest subgroup, with an average age of 41 years, compared with an average age of 50 among whites. They were also less likely to have health insurance (76%), compared with Afro-Caribbeans (81%), African Americans (83%), and whites (91%; P < .001). Disparities were observed in the proportion of individuals living below the poverty level. This was led by African Americans (24%), followed by African immigrants (22%), Afro-Caribbeans (18%), and whites (9%).

African immigrants were most likely to be college educated (36%), compared with whites (32%), Afro-Caribbeans (23%), and African Americans (17%; P =.001). In addition, only 33% of African Americans were married, compared with more than 50% of participants in the other ethnic groups.

African Americans had the highest prevalence of hypertension over the time period (from 44% in 2010 to 42% in 2018), while African immigrants had the lowest (from 19% to 17%). African Americans also had the highest prevalence of diabetes over the time period (from 14% to 15%), while African immigrants had the lowest (from 9% to 7%). The prevalence of overweight and obesity was highest among African Americans (from 74% to 76%), while African immigrants had the lowest (63% to 60%). Finally, smoking prevalence was highest in whites and African Americans compared with African immigrants and Afro-Caribbeans, but the prevalence decreased significantly between 2010 and 2018 (P for trend < .001).

In an interview, one of the meeting session’s moderators, Sherry-Ann Brown, MD, PhD, said that the study’s findings underscore the importance of heterogeneity when counseling patients about CVD risk factors. “Everybody comes from a different cultural background,” said Dr. Brown, a cardiologist and physician scientist at Mayo Clinic, Rochester, Minn. “Cultural backgrounds have an impact on when people eat, how they eat, who they eat with, when they exercise, and whether obesity is valued or not. It’s important to recognize that those cultural underpinnings can contribute to heterogeneity. Other factors – whether they are psychosocial or socioeconomic or environmental – also contribute.”

Strengths of the study, Dr. Baptiste said, included the use of a large, nationally representative dataset. Limitations included its cross-sectional design and the National Health Interview Survey’s reliance on self-reported data. “There were also small sample sizes for African immigrants and Afro-Caribbeans,” she said.

The study was supported by Johns Hopkins University School of Nursing Center for Cardiovascular and Chronic Care. Dr. Baptiste reported having no financial disclosures.

The meeting was sponsored by the American Heart Association.

[email protected]

SOURCE: Baptiste D et al. EPI/Lifestyle 2020, Session 4, Abstract 8.

PHOENIX, ARIZ. – Cardiovascular disease risk factors differ significantly between three black ethnic subgroups in the United States, compared with whites, results from a large, long-term cross-sectional study show.

Doug Brunk/MDedge News

“Race alone does not account for health disparities in CVD risk factors,” lead author Diana Baptiste, DNP, RN, CNE, said at the Epidemiology and Prevention/Lifestyle and Cardiometabolic Health meeting. “We must consider the environmental, psychosocial, and social factors that may play a larger role in CVD risk among these populations.”

Dr. Baptiste, of the Johns Hopkins University School of Nursing Center for Cardiovascular and Chronic Care in Baltimore, noted that blacks bear a disproportionately greater burden of CVD than that of any other racial group. “Blacks living in the U.S. are not monolithic and include different ethnic subgroups: African Americans, Afro-Caribbeans, defined as black persons who are born in the Caribbean islands, and African immigrants, defined as black persons who are born in Africa,” she said. “It is unclear how Afro-Caribbeans and African immigrants compare to African Americans and whites with regard to CVD risk factors.”

To examine trends in CVD risk factors among the three black ethnic subgroups compared with whites, she and her colleagues performed a cross-sectional analysis of 452,997 adults who participated in the 2010-2018 National Health Interview Survey (NHIS). Of these, 82% were white and 18% were black. Among blacks, 89% were African Americans, 6% were Afro-Caribbeans, and 5% were African immigrants. Outcomes of interest were four self-reported CVD risk factors: hypertension, diabetes, overweight/obesity, and smoking. The researchers used generalized linear models with Poisson distribution to calculate predictive probabilities of CVD risk factors, adjusted for age and sex.

Dr. Baptiste reported that African immigrants represented the youngest subgroup, with an average age of 41 years, compared with an average age of 50 among whites. They were also less likely to have health insurance (76%), compared with Afro-Caribbeans (81%), African Americans (83%), and whites (91%; P < .001). Disparities were observed in the proportion of individuals living below the poverty level. This was led by African Americans (24%), followed by African immigrants (22%), Afro-Caribbeans (18%), and whites (9%).

African immigrants were most likely to be college educated (36%), compared with whites (32%), Afro-Caribbeans (23%), and African Americans (17%; P =.001). In addition, only 33% of African Americans were married, compared with more than 50% of participants in the other ethnic groups.

African Americans had the highest prevalence of hypertension over the time period (from 44% in 2010 to 42% in 2018), while African immigrants had the lowest (from 19% to 17%). African Americans also had the highest prevalence of diabetes over the time period (from 14% to 15%), while African immigrants had the lowest (from 9% to 7%). The prevalence of overweight and obesity was highest among African Americans (from 74% to 76%), while African immigrants had the lowest (63% to 60%). Finally, smoking prevalence was highest in whites and African Americans compared with African immigrants and Afro-Caribbeans, but the prevalence decreased significantly between 2010 and 2018 (P for trend < .001).

In an interview, one of the meeting session’s moderators, Sherry-Ann Brown, MD, PhD, said that the study’s findings underscore the importance of heterogeneity when counseling patients about CVD risk factors. “Everybody comes from a different cultural background,” said Dr. Brown, a cardiologist and physician scientist at Mayo Clinic, Rochester, Minn. “Cultural backgrounds have an impact on when people eat, how they eat, who they eat with, when they exercise, and whether obesity is valued or not. It’s important to recognize that those cultural underpinnings can contribute to heterogeneity. Other factors – whether they are psychosocial or socioeconomic or environmental – also contribute.”

Strengths of the study, Dr. Baptiste said, included the use of a large, nationally representative dataset. Limitations included its cross-sectional design and the National Health Interview Survey’s reliance on self-reported data. “There were also small sample sizes for African immigrants and Afro-Caribbeans,” she said.

The study was supported by Johns Hopkins University School of Nursing Center for Cardiovascular and Chronic Care. Dr. Baptiste reported having no financial disclosures.

The meeting was sponsored by the American Heart Association.

[email protected]

SOURCE: Baptiste D et al. EPI/Lifestyle 2020, Session 4, Abstract 8.

PHOENIX, ARIZ. – Cardiovascular disease risk factors differ significantly between three black ethnic subgroups in the United States, compared with whites, results from a large, long-term cross-sectional study show.

Doug Brunk/MDedge News

“Race alone does not account for health disparities in CVD risk factors,” lead author Diana Baptiste, DNP, RN, CNE, said at the Epidemiology and Prevention/Lifestyle and Cardiometabolic Health meeting. “We must consider the environmental, psychosocial, and social factors that may play a larger role in CVD risk among these populations.”

Dr. Baptiste, of the Johns Hopkins University School of Nursing Center for Cardiovascular and Chronic Care in Baltimore, noted that blacks bear a disproportionately greater burden of CVD than that of any other racial group. “Blacks living in the U.S. are not monolithic and include different ethnic subgroups: African Americans, Afro-Caribbeans, defined as black persons who are born in the Caribbean islands, and African immigrants, defined as black persons who are born in Africa,” she said. “It is unclear how Afro-Caribbeans and African immigrants compare to African Americans and whites with regard to CVD risk factors.”

To examine trends in CVD risk factors among the three black ethnic subgroups compared with whites, she and her colleagues performed a cross-sectional analysis of 452,997 adults who participated in the 2010-2018 National Health Interview Survey (NHIS). Of these, 82% were white and 18% were black. Among blacks, 89% were African Americans, 6% were Afro-Caribbeans, and 5% were African immigrants. Outcomes of interest were four self-reported CVD risk factors: hypertension, diabetes, overweight/obesity, and smoking. The researchers used generalized linear models with Poisson distribution to calculate predictive probabilities of CVD risk factors, adjusted for age and sex.

Dr. Baptiste reported that African immigrants represented the youngest subgroup, with an average age of 41 years, compared with an average age of 50 among whites. They were also less likely to have health insurance (76%), compared with Afro-Caribbeans (81%), African Americans (83%), and whites (91%; P < .001). Disparities were observed in the proportion of individuals living below the poverty level. This was led by African Americans (24%), followed by African immigrants (22%), Afro-Caribbeans (18%), and whites (9%).

African immigrants were most likely to be college educated (36%), compared with whites (32%), Afro-Caribbeans (23%), and African Americans (17%; P =.001). In addition, only 33% of African Americans were married, compared with more than 50% of participants in the other ethnic groups.

African Americans had the highest prevalence of hypertension over the time period (from 44% in 2010 to 42% in 2018), while African immigrants had the lowest (from 19% to 17%). African Americans also had the highest prevalence of diabetes over the time period (from 14% to 15%), while African immigrants had the lowest (from 9% to 7%). The prevalence of overweight and obesity was highest among African Americans (from 74% to 76%), while African immigrants had the lowest (63% to 60%). Finally, smoking prevalence was highest in whites and African Americans compared with African immigrants and Afro-Caribbeans, but the prevalence decreased significantly between 2010 and 2018 (P for trend < .001).

In an interview, one of the meeting session’s moderators, Sherry-Ann Brown, MD, PhD, said that the study’s findings underscore the importance of heterogeneity when counseling patients about CVD risk factors. “Everybody comes from a different cultural background,” said Dr. Brown, a cardiologist and physician scientist at Mayo Clinic, Rochester, Minn. “Cultural backgrounds have an impact on when people eat, how they eat, who they eat with, when they exercise, and whether obesity is valued or not. It’s important to recognize that those cultural underpinnings can contribute to heterogeneity. Other factors – whether they are psychosocial or socioeconomic or environmental – also contribute.”

Strengths of the study, Dr. Baptiste said, included the use of a large, nationally representative dataset. Limitations included its cross-sectional design and the National Health Interview Survey’s reliance on self-reported data. “There were also small sample sizes for African immigrants and Afro-Caribbeans,” she said.

The study was supported by Johns Hopkins University School of Nursing Center for Cardiovascular and Chronic Care. Dr. Baptiste reported having no financial disclosures.

The meeting was sponsored by the American Heart Association.

[email protected]

SOURCE: Baptiste D et al. EPI/Lifestyle 2020, Session 4, Abstract 8.

Two histologically distinct “endotypes” of type 1 diabetes, T1DE1 and T1DE2, have been identified in children based on their age at diagnosis

The findings were published online March 15 in Diabetologia by Pia Leete, PhD, of the Institute of Biomedical and Clinical Science, University of Exeter Medical School, UK, and colleagues.

The results suggest that the immune attack is far more aggressive and the islets more inflamed in the younger-onset group (T1DE1) and less intense in the older-onset group (T1DE2), the authors explain.

“We’re extremely excited to find evidence that type 1 diabetes is two separate conditions: T1DE1 and T1DE2. The significance of this could be enormous in helping us to understand what causes the illness and in unlocking avenues to prevent future generations of children from getting type 1 diabetes,” said senior author Noel G. Morgan, PhD, also of the University of Exeter, in a statement.

Morgan added that the discovery “might also lead to new treatments if we can find ways to reactivate dormant insulin-producing cells in the older age group. This would be a significant step towards the holy grail to find a cure for some people.”

Endotypes can inform immune interventions

The study involved an immunohistological analysis of proinsulin and insulin distribution in the islets of pancreas samples recovered from 19 youth who died soon after (<2 years) onset of type 1 diabetes and from 13 with onset more than 5 years prior to harvesting. Those results were compared with C-peptide and proinsulin measurements in 171 living individuals with type 1 diabetes of longer than 5 years duration.

The Exeter team has previously reported that the immune cell profiles in the inflamed islets of children younger than 7 years of age soon after the diagnosis of type 1 diabetes seem to be distinctly different for those in children aged 13 and older at diagnosis. The younger group at diagnosis (termed “T1DE1”) retained a lower proportion of insulin-containing islets than did the older-onset group (“T1DE2”).

Those aged 7-12 at diagnosis could belong to either group, but there was no continuum. Rather, they appeared to align distinctly with one or the other “endotype,” Leete and colleagues say.

In the new analysis, proinsulin processing was aberrant to a much greater degree among children diagnosed with type 1 diabetes prior to age 7 years than among those diagnosed after age 12 years, with the profiles of proinsulin processing correlating with the previously defined immune cell profiles.

For those aged 7-12, the proinsulin distribution in islets directly correlated with their immune phenotypes, either T1DE1 or T1DE2.

And among the living patients, circulating proinsulin:C-peptide ratios were elevated in the <7-year onset group compared with the ≥13-year group, even 5 years after diagnosis.

“Together, these data imply that, when considered alongside age at diagnosis, measurement of the ratio of proinsulin to C-peptide may represent a convenient biomarker to distinguish the endotypes defined here,” Leete and colleagues say.

The two-endotype proposal isn’t meant to suggest that “a simple dichotomy will ultimately be sufficient to account for the entire heterogeneity seen in people developing type 1 diabetes,” the authors stress. Rather, additional endotypes will likely be defined as more variables are considered.

They write, “Recognition of such differences should inform the design of future immunotherapeutic interventions designed to arrest disease progression.”

The research was sponsored by Diabetes UK and JDRF.

This article first appeared on Medscape.com.

Two histologically distinct “endotypes” of type 1 diabetes, T1DE1 and T1DE2, have been identified in children based on their age at diagnosis

The findings were published online March 15 in Diabetologia by Pia Leete, PhD, of the Institute of Biomedical and Clinical Science, University of Exeter Medical School, UK, and colleagues.

The results suggest that the immune attack is far more aggressive and the islets more inflamed in the younger-onset group (T1DE1) and less intense in the older-onset group (T1DE2), the authors explain.

“We’re extremely excited to find evidence that type 1 diabetes is two separate conditions: T1DE1 and T1DE2. The significance of this could be enormous in helping us to understand what causes the illness and in unlocking avenues to prevent future generations of children from getting type 1 diabetes,” said senior author Noel G. Morgan, PhD, also of the University of Exeter, in a statement.

Morgan added that the discovery “might also lead to new treatments if we can find ways to reactivate dormant insulin-producing cells in the older age group. This would be a significant step towards the holy grail to find a cure for some people.”

Endotypes can inform immune interventions

The study involved an immunohistological analysis of proinsulin and insulin distribution in the islets of pancreas samples recovered from 19 youth who died soon after (<2 years) onset of type 1 diabetes and from 13 with onset more than 5 years prior to harvesting. Those results were compared with C-peptide and proinsulin measurements in 171 living individuals with type 1 diabetes of longer than 5 years duration.

The Exeter team has previously reported that the immune cell profiles in the inflamed islets of children younger than 7 years of age soon after the diagnosis of type 1 diabetes seem to be distinctly different for those in children aged 13 and older at diagnosis. The younger group at diagnosis (termed “T1DE1”) retained a lower proportion of insulin-containing islets than did the older-onset group (“T1DE2”).

Those aged 7-12 at diagnosis could belong to either group, but there was no continuum. Rather, they appeared to align distinctly with one or the other “endotype,” Leete and colleagues say.

In the new analysis, proinsulin processing was aberrant to a much greater degree among children diagnosed with type 1 diabetes prior to age 7 years than among those diagnosed after age 12 years, with the profiles of proinsulin processing correlating with the previously defined immune cell profiles.

For those aged 7-12, the proinsulin distribution in islets directly correlated with their immune phenotypes, either T1DE1 or T1DE2.

And among the living patients, circulating proinsulin:C-peptide ratios were elevated in the <7-year onset group compared with the ≥13-year group, even 5 years after diagnosis.

“Together, these data imply that, when considered alongside age at diagnosis, measurement of the ratio of proinsulin to C-peptide may represent a convenient biomarker to distinguish the endotypes defined here,” Leete and colleagues say.

The two-endotype proposal isn’t meant to suggest that “a simple dichotomy will ultimately be sufficient to account for the entire heterogeneity seen in people developing type 1 diabetes,” the authors stress. Rather, additional endotypes will likely be defined as more variables are considered.

They write, “Recognition of such differences should inform the design of future immunotherapeutic interventions designed to arrest disease progression.”

The research was sponsored by Diabetes UK and JDRF.

This article first appeared on Medscape.com.

Two histologically distinct “endotypes” of type 1 diabetes, T1DE1 and T1DE2, have been identified in children based on their age at diagnosis

The findings were published online March 15 in Diabetologia by Pia Leete, PhD, of the Institute of Biomedical and Clinical Science, University of Exeter Medical School, UK, and colleagues.

The results suggest that the immune attack is far more aggressive and the islets more inflamed in the younger-onset group (T1DE1) and less intense in the older-onset group (T1DE2), the authors explain.

“We’re extremely excited to find evidence that type 1 diabetes is two separate conditions: T1DE1 and T1DE2. The significance of this could be enormous in helping us to understand what causes the illness and in unlocking avenues to prevent future generations of children from getting type 1 diabetes,” said senior author Noel G. Morgan, PhD, also of the University of Exeter, in a statement.

Morgan added that the discovery “might also lead to new treatments if we can find ways to reactivate dormant insulin-producing cells in the older age group. This would be a significant step towards the holy grail to find a cure for some people.”

Endotypes can inform immune interventions

The study involved an immunohistological analysis of proinsulin and insulin distribution in the islets of pancreas samples recovered from 19 youth who died soon after (<2 years) onset of type 1 diabetes and from 13 with onset more than 5 years prior to harvesting. Those results were compared with C-peptide and proinsulin measurements in 171 living individuals with type 1 diabetes of longer than 5 years duration.

The Exeter team has previously reported that the immune cell profiles in the inflamed islets of children younger than 7 years of age soon after the diagnosis of type 1 diabetes seem to be distinctly different for those in children aged 13 and older at diagnosis. The younger group at diagnosis (termed “T1DE1”) retained a lower proportion of insulin-containing islets than did the older-onset group (“T1DE2”).

Those aged 7-12 at diagnosis could belong to either group, but there was no continuum. Rather, they appeared to align distinctly with one or the other “endotype,” Leete and colleagues say.

In the new analysis, proinsulin processing was aberrant to a much greater degree among children diagnosed with type 1 diabetes prior to age 7 years than among those diagnosed after age 12 years, with the profiles of proinsulin processing correlating with the previously defined immune cell profiles.

For those aged 7-12, the proinsulin distribution in islets directly correlated with their immune phenotypes, either T1DE1 or T1DE2.

And among the living patients, circulating proinsulin:C-peptide ratios were elevated in the <7-year onset group compared with the ≥13-year group, even 5 years after diagnosis.

“Together, these data imply that, when considered alongside age at diagnosis, measurement of the ratio of proinsulin to C-peptide may represent a convenient biomarker to distinguish the endotypes defined here,” Leete and colleagues say.

The two-endotype proposal isn’t meant to suggest that “a simple dichotomy will ultimately be sufficient to account for the entire heterogeneity seen in people developing type 1 diabetes,” the authors stress. Rather, additional endotypes will likely be defined as more variables are considered.

They write, “Recognition of such differences should inform the design of future immunotherapeutic interventions designed to arrest disease progression.”

The research was sponsored by Diabetes UK and JDRF.

This article first appeared on Medscape.com.

The Food and Drug Administration has approved safety labeling changes to all sodium-glucose transporter 2 (SGLT2) inhibitors used to treat high blood sugar in patients with type 2 diabetes.

The new changes affect canagliflozin, dapagliflozin, empagliflozin, and ertugliflozin, and were made because surgery may put patients being treated with SGLT2 inhibitors at a higher risk of ketoacidosis. Canagliflozin, dapagliflozin, and empagliflozin should be discontinued 3 days before scheduled surgery, and ertugliflozin should be stopped at least 4 days before, the agency noted in a press release. Blood glucose should be monitored after drug discontinuation and appropriately managed before surgery.

“The SGLT2 inhibitor may be restarted once the patient’s oral intake is back to baseline and any other risk factors for ketoacidosis are resolved,” the agency added.

SGLT2 inhibitors lower blood sugar by causing the kidney to remove sugar from the body through urine. Side effects for the drugs vary, but include urinary tract infections and genital mycotic infection. Patients with severe renal impairment or end-stage renal disease, who are on dialysis treatment, or who have a known hypersensitivity to the medication should not take SGLT2 inhibitors, the FDA said.

[email protected]

The Food and Drug Administration has approved safety labeling changes to all sodium-glucose transporter 2 (SGLT2) inhibitors used to treat high blood sugar in patients with type 2 diabetes.

The new changes affect canagliflozin, dapagliflozin, empagliflozin, and ertugliflozin, and were made because surgery may put patients being treated with SGLT2 inhibitors at a higher risk of ketoacidosis. Canagliflozin, dapagliflozin, and empagliflozin should be discontinued 3 days before scheduled surgery, and ertugliflozin should be stopped at least 4 days before, the agency noted in a press release. Blood glucose should be monitored after drug discontinuation and appropriately managed before surgery.

“The SGLT2 inhibitor may be restarted once the patient’s oral intake is back to baseline and any other risk factors for ketoacidosis are resolved,” the agency added.

SGLT2 inhibitors lower blood sugar by causing the kidney to remove sugar from the body through urine. Side effects for the drugs vary, but include urinary tract infections and genital mycotic infection. Patients with severe renal impairment or end-stage renal disease, who are on dialysis treatment, or who have a known hypersensitivity to the medication should not take SGLT2 inhibitors, the FDA said.

[email protected]

The Food and Drug Administration has approved safety labeling changes to all sodium-glucose transporter 2 (SGLT2) inhibitors used to treat high blood sugar in patients with type 2 diabetes.

The new changes affect canagliflozin, dapagliflozin, empagliflozin, and ertugliflozin, and were made because surgery may put patients being treated with SGLT2 inhibitors at a higher risk of ketoacidosis. Canagliflozin, dapagliflozin, and empagliflozin should be discontinued 3 days before scheduled surgery, and ertugliflozin should be stopped at least 4 days before, the agency noted in a press release. Blood glucose should be monitored after drug discontinuation and appropriately managed before surgery.

“The SGLT2 inhibitor may be restarted once the patient’s oral intake is back to baseline and any other risk factors for ketoacidosis are resolved,” the agency added.

SGLT2 inhibitors lower blood sugar by causing the kidney to remove sugar from the body through urine. Side effects for the drugs vary, but include urinary tract infections and genital mycotic infection. Patients with severe renal impairment or end-stage renal disease, who are on dialysis treatment, or who have a known hypersensitivity to the medication should not take SGLT2 inhibitors, the FDA said.

[email protected]

Patients with both type 2 diabetes and asthma who were on glucagonlike peptide receptor–1 (GLP-1R) agonists for glucose control had lower levels of a key biomarker of airway inflammation than similar patients on other types of glucose-control medications, according to results of a study to have been presented at the annual meeting of the American Academy of Asthma, Allergy, and Immunology. The AAAAI canceled their annual meeting and provided abstracts and access to presenters for press coverage.

The findings from this study potentially replicated findings in humans that have been reported in preclinical trials.

“Our work showed that type 2 diabetics with asthma who were treated with GLP-1 receptor agonists had lower levels of periostin, and this provides really one of the first human data to show that these drugs may impact key inflammation pathways in the airway,” Dinah Foer, MD, of Brigham and Women’s Hospital, Boston, said in an interview. She described periostin as “a known critical inducer of airway mucous production and airway responsiveness.”

The study retrospectively evaluated serum samples from the Partners HealthCare Biobank of 161 adults with both asthma and type 2 diabetes, 42 of whom were on GLP-1R agonists and 119 of whom were taking non-GLP-1R agonist diabetes medications. The study used the Partners Healthcare EHR to identify eligible patients.

The study found that periostin levels were significantly decreased in GLP-1R agonist users: 19.1 ng/mL (standard deviation, +8.7) versus 27.4 ng/mL (SD, +14) in the non-GLP-1R agonist group (P = .001), Dr. Foer said. The other known mediators of asthma inflammatory pathways that were measured – interleukin-6, IL-8, sCD163, total IgE, and sST2 (soluble suppression of tumorigenesis–2) – showed no differences between the two groups, Dr. Foer said.

She said that this was the first human study to show similar results to preclinical models of asthma pathways. “What was interesting to us was that our findings were robust even when we controlled for covariates,” she added.

These findings lay the groundwork for further research into the potential therapeutic role GLP-1R agonists in asthma, Dr. Foer said. “This supports using periostin as a biomarker for novel therapeutic use of GLP-1R [agonists] in asthma,” she said. “At this point further study is needed to understand the clinical impact of GPL-1R [agonists] in asthma both for patients with type 2 diabetes and potentially in the future for patients who don’t have type 2 diabetes or metabolic disease.”

She added: “I don’t think we’re there yet; this is just one foot forward.”

The next step for researchers involves analyzing outcomes in asthmatics with type 2 diabetes on GLP-1R agonist therapy using a larger sample size as well as patients with asthma and metabolic disease, Dr. Foer said. The goal would be to identify corresponding biomarkers.

“There’s a terrific conversation in the field about the relationships between metabolism and asthma,” she said. “What our data contributes to that is, it suggests a role for metabolic pathways, specifically as it’s related GLP-1R [agonist] signaling pathways in regulating airway inflammation.”

Mark Moss, MD, associate professor of allergy & immunology at the University of Wisconsin–Madison, who was to serve as the moderator of the session, was positive about the GLP-1R agonist findings. He said in an interview: “This is promising research that provides a possible new target for the treatment of asthma.”

Dr. Foer disclosed that she has no relevant financial relationships.

SOURCE: Foer D et al. AAAAI Session 462, Abstract 784.

Patients with both type 2 diabetes and asthma who were on glucagonlike peptide receptor–1 (GLP-1R) agonists for glucose control had lower levels of a key biomarker of airway inflammation than similar patients on other types of glucose-control medications, according to results of a study to have been presented at the annual meeting of the American Academy of Asthma, Allergy, and Immunology. The AAAAI canceled their annual meeting and provided abstracts and access to presenters for press coverage.

The findings from this study potentially replicated findings in humans that have been reported in preclinical trials.

“Our work showed that type 2 diabetics with asthma who were treated with GLP-1 receptor agonists had lower levels of periostin, and this provides really one of the first human data to show that these drugs may impact key inflammation pathways in the airway,” Dinah Foer, MD, of Brigham and Women’s Hospital, Boston, said in an interview. She described periostin as “a known critical inducer of airway mucous production and airway responsiveness.”

The study retrospectively evaluated serum samples from the Partners HealthCare Biobank of 161 adults with both asthma and type 2 diabetes, 42 of whom were on GLP-1R agonists and 119 of whom were taking non-GLP-1R agonist diabetes medications. The study used the Partners Healthcare EHR to identify eligible patients.

The study found that periostin levels were significantly decreased in GLP-1R agonist users: 19.1 ng/mL (standard deviation, +8.7) versus 27.4 ng/mL (SD, +14) in the non-GLP-1R agonist group (P = .001), Dr. Foer said. The other known mediators of asthma inflammatory pathways that were measured – interleukin-6, IL-8, sCD163, total IgE, and sST2 (soluble suppression of tumorigenesis–2) – showed no differences between the two groups, Dr. Foer said.

She said that this was the first human study to show similar results to preclinical models of asthma pathways. “What was interesting to us was that our findings were robust even when we controlled for covariates,” she added.

These findings lay the groundwork for further research into the potential therapeutic role GLP-1R agonists in asthma, Dr. Foer said. “This supports using periostin as a biomarker for novel therapeutic use of GLP-1R [agonists] in asthma,” she said. “At this point further study is needed to understand the clinical impact of GPL-1R [agonists] in asthma both for patients with type 2 diabetes and potentially in the future for patients who don’t have type 2 diabetes or metabolic disease.”

She added: “I don’t think we’re there yet; this is just one foot forward.”

The next step for researchers involves analyzing outcomes in asthmatics with type 2 diabetes on GLP-1R agonist therapy using a larger sample size as well as patients with asthma and metabolic disease, Dr. Foer said. The goal would be to identify corresponding biomarkers.

“There’s a terrific conversation in the field about the relationships between metabolism and asthma,” she said. “What our data contributes to that is, it suggests a role for metabolic pathways, specifically as it’s related GLP-1R [agonist] signaling pathways in regulating airway inflammation.”

Mark Moss, MD, associate professor of allergy & immunology at the University of Wisconsin–Madison, who was to serve as the moderator of the session, was positive about the GLP-1R agonist findings. He said in an interview: “This is promising research that provides a possible new target for the treatment of asthma.”

Dr. Foer disclosed that she has no relevant financial relationships.

SOURCE: Foer D et al. AAAAI Session 462, Abstract 784.

Patients with both type 2 diabetes and asthma who were on glucagonlike peptide receptor–1 (GLP-1R) agonists for glucose control had lower levels of a key biomarker of airway inflammation than similar patients on other types of glucose-control medications, according to results of a study to have been presented at the annual meeting of the American Academy of Asthma, Allergy, and Immunology. The AAAAI canceled their annual meeting and provided abstracts and access to presenters for press coverage.

The findings from this study potentially replicated findings in humans that have been reported in preclinical trials.

“Our work showed that type 2 diabetics with asthma who were treated with GLP-1 receptor agonists had lower levels of periostin, and this provides really one of the first human data to show that these drugs may impact key inflammation pathways in the airway,” Dinah Foer, MD, of Brigham and Women’s Hospital, Boston, said in an interview. She described periostin as “a known critical inducer of airway mucous production and airway responsiveness.”

The study retrospectively evaluated serum samples from the Partners HealthCare Biobank of 161 adults with both asthma and type 2 diabetes, 42 of whom were on GLP-1R agonists and 119 of whom were taking non-GLP-1R agonist diabetes medications. The study used the Partners Healthcare EHR to identify eligible patients.

The study found that periostin levels were significantly decreased in GLP-1R agonist users: 19.1 ng/mL (standard deviation, +8.7) versus 27.4 ng/mL (SD, +14) in the non-GLP-1R agonist group (P = .001), Dr. Foer said. The other known mediators of asthma inflammatory pathways that were measured – interleukin-6, IL-8, sCD163, total IgE, and sST2 (soluble suppression of tumorigenesis–2) – showed no differences between the two groups, Dr. Foer said.

She said that this was the first human study to show similar results to preclinical models of asthma pathways. “What was interesting to us was that our findings were robust even when we controlled for covariates,” she added.

These findings lay the groundwork for further research into the potential therapeutic role GLP-1R agonists in asthma, Dr. Foer said. “This supports using periostin as a biomarker for novel therapeutic use of GLP-1R [agonists] in asthma,” she said. “At this point further study is needed to understand the clinical impact of GPL-1R [agonists] in asthma both for patients with type 2 diabetes and potentially in the future for patients who don’t have type 2 diabetes or metabolic disease.”

She added: “I don’t think we’re there yet; this is just one foot forward.”

The next step for researchers involves analyzing outcomes in asthmatics with type 2 diabetes on GLP-1R agonist therapy using a larger sample size as well as patients with asthma and metabolic disease, Dr. Foer said. The goal would be to identify corresponding biomarkers.

“There’s a terrific conversation in the field about the relationships between metabolism and asthma,” she said. “What our data contributes to that is, it suggests a role for metabolic pathways, specifically as it’s related GLP-1R [agonist] signaling pathways in regulating airway inflammation.”

Mark Moss, MD, associate professor of allergy & immunology at the University of Wisconsin–Madison, who was to serve as the moderator of the session, was positive about the GLP-1R agonist findings. He said in an interview: “This is promising research that provides a possible new target for the treatment of asthma.”

Dr. Foer disclosed that she has no relevant financial relationships.

SOURCE: Foer D et al. AAAAI Session 462, Abstract 784.

Patients with diabetes may be at extra risk for coronavirus disease (COVID-19) mortality, and doctors treating them need to keep up with the latest guidelines and expert advice.

Most health advisories about COVID-19 mention diabetes as one of the high-risk categories for the disease, likely because early data coming out of China, where the disease was first reported, indicated an elevated case-fatality rate for COVID-19 patients who also had diabetes.

In an article published in JAMA, Zunyou Wu, MD, and Jennifer M. McGoogan, PhD, summarized the findings from a February report on 44,672 confirmed cases of the disease from the Chinese Center for Disease Control and Prevention. The overall case-fatality rate (CFR) at that stage was 2.3% (1,023 deaths of the 44,672 confirmed cases). The data indicated that the CFR was elevated among COVID-19 patients with preexisting comorbid conditions, specifically, cardiovascular disease (CFR, 10.5%), diabetes (7.3%), chronic respiratory disease (6.3%), hypertension (6%), and cancer (5.6%).

The data also showed an aged-related trend in the CFR, with patients aged 80 years or older having a CFR of 14.8% and those aged 70-79 years, a rate of 8.0%, while there were no fatal cases reported in patients aged 9 years or younger (JAMA. 2020 Feb 24. doi: 10.1001/jama.2020.2648).

Those findings have been echoed by the U.S. Centers of Disease Control and Prevention. The American Diabetes Association and the American Association of Clinical Endocrinologists have in turn referenced the CDC in their COVID-19 guidance recommendations for patients with diabetes.

Guidelines were already in place for treatment of infections in patients with diabetes, and at this stage, it seems that the same guidelines would extend to those patients who are also diagnosed with COVID-19, which is caused by the novel coronavirus, SARS-CoV-2.

In general, patients with diabetes – especially those whose disease is not controlled, or not well controlled – can be more susceptible to more common infections, such as influenza and pneumonia, possibly because hyperglycemia can subdue immunity by disrupting function of the white blood cells.
 

Glucose control is key

An important factor in any form of infection control in patients with diabetes seems to be whether or not a patient’s glucose levels are well controlled, according to comments from members of the editorial advisory board for Clinical Endocrinology News. Good glucose control, therefore, could be instrumental in reducing both the risk for and severity of infection.

Paul Jellinger, MD, of the Center for Diabetes & Endocrine Care, Hollywood, Fla., said that, over the years, he had not observed higher infection rates in general in patients with hemoglobin A_1c levels below 7, or even higher. However, “a bigger question for me, given the broad category of ‘diabetes’ listed as a risk for serious coronavirus complications by the CDC, has been: Just which individuals with diabetes are really at risk? Are patients with well-controlled diabetes at increased risk as much as those with significant hyperglycemia and uncontrolled diabetes? In my view, not likely.”

Alan Jay Cohen, MD, agreed with Dr. Jellinger. “Many patients have called the office in the last 10 days to ask if there are special precautions they should take because they are reading that they are in the high-risk group because they have diabetes. Many of them are in superb, or at least pretty good, control. I have not seen where they have had a higher incidence of infection than the general population, and I have not seen data with COVID-19 that specifically demonstrates that a person with diabetes in good control has an increased risk,” he said.

“My recommendations to these patients have been the same as those given to the general population,” added Dr. Cohen, medical director at Baptist Medical Group: The Endocrine Clinic, Memphis.

Herbert I. Rettinger, MD, also conceded that poorly controlled blood sugars and confounding illnesses, such as renal and cardiac conditions, are common in patients with long-standing diabetes, but “there is a huge population of patients with type 1 diabetes, and very few seem to be more susceptible to infection. Perhaps I am missing those with poor diet and glucose control.”

Philip Levy, MD, picked up on that latter point, emphasizing that “endocrinologists take care of fewer patients with diabetes than do primary care physicians. Most patients with type 2 diabetes are not seen by us unless the PCP has problems [treating them],” so it could be that PCPs may see a higher number of patients who are at a greater risk for infections.

Ultimately, “good glucose control is very helpful in avoiding infections,” said Dr. Levy, of the Banner University Medical Group Endocrinology & Diabetes, Phoenix.
 

For sick patients

Guidelines for patients at the Joslin Diabetes Center in Boston advise patients who are feeling sick to continue taking their diabetes medications, unless instructed otherwise by their providers, and to monitor their glucose more frequently because it can spike suddenly.

Patients with type 1 diabetes should check for ketones if their glucose passes 250 mg/dL, according to the guidelines, and patients should remain hydrated at all times and get plenty of rest.

“Sick-day guidelines definitely apply, but patients should be advised to get tested if they have any symptoms they are concerned about,” said Dr. Rettinger, of the Endocrinology Medical Group of Orange County, Orange, Calif.

If patients with diabetes develop COVID-19, then home management may still be possible, according to Ritesh Gupta, MD, of Fortis C-DOC Hospital, New Delhi, and colleagues (Diabetes Metab Syndr. 2020 Mar 10;14[3]:211-2. doi: 10.1016/j.dsx.2020.03.002).

Dr. Rettinger agreed, noting that home management would be feasible as long as “everything is going well, that is, the patient is not experiencing respiratory problems or difficulties in controlling glucose levels. Consider patients with type 1 diabetes who have COVID-19 as you would a nursing home patient – ever vigilant.”

Dr. Gupta and coauthors also recommended basic treatment measures such as maintaining hydration and managing symptoms with acetaminophen and steam inhalation, and home isolation for 14 days or until the symptoms resolve. However, the ADA warns in its guidelines that patients should “be aware that some constant glucose monitoring sensors (Dexcom G5, Medtronic Enlite, and Guardian) are impacted by acetaminophen (Tylenol), and that patients should check with finger sticks to ensure accuracy [if they are taking acetaminophen].”

In the event of hyperglycemia with fever in patients with type 1 diabetes, blood glucose and urinary ketones should be monitored often, the authors wrote, cautioning that “frequent changes in dosage and correctional bolus may be required to maintain normoglycemia.” Dr Rettinger emphasized that “hyperglycemia, as always, is best treated with fluids and insulin and frequent checks of sugars to be sure the treatment regimen is successful.”

In regard to diabetic drug regimens, patients with type 1 or 2 disease should continue on their current medications, advised Yehuda Handelsman, MD. “Some, especially those on insulin, may require more of it. And the patient should increase fluid intake to prevent fluid depletion. We do not reduce antihyperglycemic medication to preserve fluids.

Preventive measures

In the interest of maintaining good glucose control, patients also should monitor their glucose levels more frequently so that fluctuations can be detected early and quickly addressed with the appropriate medication adjustments, according to guidelines from the ADA and AACE. They should continue to follow a healthy diet that includes adequate protein and they should exercise regularly.

Patients should ensure that they have enough medication and testing supplies – for at least 14 days, and longer, if costs permit – in case they have to go into quarantine.

General preventive measures, such as frequent hand washing with soap and water, practicing good respiratory hygiene by sneezing or coughing into a facial tissue or bent elbow, also apply for reducing the risk of infection. Touching of the face should be avoided, as should nonessential travel and contact with infected individuals.

Patients with diabetes should always be current with their influenza and pneumonia shots.

Dr. Rettinger said that he always recommends the following preventative measures to his patients and he is using the current health crisis to reinforce them:

• Eat lots of multicolored fruits and vegetables.
• Eat yogurt and take probiotics to keep the intestinal biome strong and functional.
• Be extra vigilant regarding sugars and sugar control to avoid peaks and valleys wherever possible.
• Keep the immune system strong with at least 7-8 hours sleep and reduce stress levels whenever possible.
• Avoid crowds and handshaking.
• Wash hands regularly.

Possible therapies

There are currently no drugs that have been approved specifically for the treatment of COVID-19, although a vaccine against the disease is currently under development.

Dr. Gupta and his colleagues noted in their article that there have been reports of the anecdotal use of antiviral drugs such as lopinavir, ritonavir, interferon-beta, the RNA polymerase inhibitor remdesivir, and chloroquine.

However, Dr. Handelsman said that, as far as he knows, none of these drugs has been shown to be beneficial for COVID-19. “Some [providers] have tried Tamiflu, but with no clear outcomes, and for severely sick patients, they tried medications for anti-HIV, hepatitis C, and malaria, but so far, there has been no breakthrough.”

Dr. Cohen, Dr. Handelsman, Dr. Jellinger, Dr. Levy, and Dr. Rettinger are members of the editorial advisory board of Clinical Endocrinology News. Dr. Gupta and Dr. Wu, and their colleagues, reported no conflicts of interest.

[email protected]

Patients with diabetes may be at extra risk for coronavirus disease (COVID-19) mortality, and doctors treating them need to keep up with the latest guidelines and expert advice.

Most health advisories about COVID-19 mention diabetes as one of the high-risk categories for the disease, likely because early data coming out of China, where the disease was first reported, indicated an elevated case-fatality rate for COVID-19 patients who also had diabetes.

In an article published in JAMA, Zunyou Wu, MD, and Jennifer M. McGoogan, PhD, summarized the findings from a February report on 44,672 confirmed cases of the disease from the Chinese Center for Disease Control and Prevention. The overall case-fatality rate (CFR) at that stage was 2.3% (1,023 deaths of the 44,672 confirmed cases). The data indicated that the CFR was elevated among COVID-19 patients with preexisting comorbid conditions, specifically, cardiovascular disease (CFR, 10.5%), diabetes (7.3%), chronic respiratory disease (6.3%), hypertension (6%), and cancer (5.6%).

The data also showed an aged-related trend in the CFR, with patients aged 80 years or older having a CFR of 14.8% and those aged 70-79 years, a rate of 8.0%, while there were no fatal cases reported in patients aged 9 years or younger (JAMA. 2020 Feb 24. doi: 10.1001/jama.2020.2648).

Those findings have been echoed by the U.S. Centers of Disease Control and Prevention. The American Diabetes Association and the American Association of Clinical Endocrinologists have in turn referenced the CDC in their COVID-19 guidance recommendations for patients with diabetes.

Guidelines were already in place for treatment of infections in patients with diabetes, and at this stage, it seems that the same guidelines would extend to those patients who are also diagnosed with COVID-19, which is caused by the novel coronavirus, SARS-CoV-2.

In general, patients with diabetes – especially those whose disease is not controlled, or not well controlled – can be more susceptible to more common infections, such as influenza and pneumonia, possibly because hyperglycemia can subdue immunity by disrupting function of the white blood cells.
 

Glucose control is key

An important factor in any form of infection control in patients with diabetes seems to be whether or not a patient’s glucose levels are well controlled, according to comments from members of the editorial advisory board for Clinical Endocrinology News. Good glucose control, therefore, could be instrumental in reducing both the risk for and severity of infection.

Paul Jellinger, MD, of the Center for Diabetes & Endocrine Care, Hollywood, Fla., said that, over the years, he had not observed higher infection rates in general in patients with hemoglobin A_1c levels below 7, or even higher. However, “a bigger question for me, given the broad category of ‘diabetes’ listed as a risk for serious coronavirus complications by the CDC, has been: Just which individuals with diabetes are really at risk? Are patients with well-controlled diabetes at increased risk as much as those with significant hyperglycemia and uncontrolled diabetes? In my view, not likely.”

Alan Jay Cohen, MD, agreed with Dr. Jellinger. “Many patients have called the office in the last 10 days to ask if there are special precautions they should take because they are reading that they are in the high-risk group because they have diabetes. Many of them are in superb, or at least pretty good, control. I have not seen where they have had a higher incidence of infection than the general population, and I have not seen data with COVID-19 that specifically demonstrates that a person with diabetes in good control has an increased risk,” he said.

“My recommendations to these patients have been the same as those given to the general population,” added Dr. Cohen, medical director at Baptist Medical Group: The Endocrine Clinic, Memphis.

Herbert I. Rettinger, MD, also conceded that poorly controlled blood sugars and confounding illnesses, such as renal and cardiac conditions, are common in patients with long-standing diabetes, but “there is a huge population of patients with type 1 diabetes, and very few seem to be more susceptible to infection. Perhaps I am missing those with poor diet and glucose control.”

Philip Levy, MD, picked up on that latter point, emphasizing that “endocrinologists take care of fewer patients with diabetes than do primary care physicians. Most patients with type 2 diabetes are not seen by us unless the PCP has problems [treating them],” so it could be that PCPs may see a higher number of patients who are at a greater risk for infections.

Ultimately, “good glucose control is very helpful in avoiding infections,” said Dr. Levy, of the Banner University Medical Group Endocrinology & Diabetes, Phoenix.
 

For sick patients

Guidelines for patients at the Joslin Diabetes Center in Boston advise patients who are feeling sick to continue taking their diabetes medications, unless instructed otherwise by their providers, and to monitor their glucose more frequently because it can spike suddenly.

Patients with type 1 diabetes should check for ketones if their glucose passes 250 mg/dL, according to the guidelines, and patients should remain hydrated at all times and get plenty of rest.

“Sick-day guidelines definitely apply, but patients should be advised to get tested if they have any symptoms they are concerned about,” said Dr. Rettinger, of the Endocrinology Medical Group of Orange County, Orange, Calif.

If patients with diabetes develop COVID-19, then home management may still be possible, according to Ritesh Gupta, MD, of Fortis C-DOC Hospital, New Delhi, and colleagues (Diabetes Metab Syndr. 2020 Mar 10;14[3]:211-2. doi: 10.1016/j.dsx.2020.03.002).

Dr. Rettinger agreed, noting that home management would be feasible as long as “everything is going well, that is, the patient is not experiencing respiratory problems or difficulties in controlling glucose levels. Consider patients with type 1 diabetes who have COVID-19 as you would a nursing home patient – ever vigilant.”

Dr. Gupta and coauthors also recommended basic treatment measures such as maintaining hydration and managing symptoms with acetaminophen and steam inhalation, and home isolation for 14 days or until the symptoms resolve. However, the ADA warns in its guidelines that patients should “be aware that some constant glucose monitoring sensors (Dexcom G5, Medtronic Enlite, and Guardian) are impacted by acetaminophen (Tylenol), and that patients should check with finger sticks to ensure accuracy [if they are taking acetaminophen].”

In the event of hyperglycemia with fever in patients with type 1 diabetes, blood glucose and urinary ketones should be monitored often, the authors wrote, cautioning that “frequent changes in dosage and correctional bolus may be required to maintain normoglycemia.” Dr Rettinger emphasized that “hyperglycemia, as always, is best treated with fluids and insulin and frequent checks of sugars to be sure the treatment regimen is successful.”

In regard to diabetic drug regimens, patients with type 1 or 2 disease should continue on their current medications, advised Yehuda Handelsman, MD. “Some, especially those on insulin, may require more of it. And the patient should increase fluid intake to prevent fluid depletion. We do not reduce antihyperglycemic medication to preserve fluids.

Preventive measures

In the interest of maintaining good glucose control, patients also should monitor their glucose levels more frequently so that fluctuations can be detected early and quickly addressed with the appropriate medication adjustments, according to guidelines from the ADA and AACE. They should continue to follow a healthy diet that includes adequate protein and they should exercise regularly.

Patients should ensure that they have enough medication and testing supplies – for at least 14 days, and longer, if costs permit – in case they have to go into quarantine.

General preventive measures, such as frequent hand washing with soap and water, practicing good respiratory hygiene by sneezing or coughing into a facial tissue or bent elbow, also apply for reducing the risk of infection. Touching of the face should be avoided, as should nonessential travel and contact with infected individuals.

Patients with diabetes should always be current with their influenza and pneumonia shots.

Dr. Rettinger said that he always recommends the following preventative measures to his patients and he is using the current health crisis to reinforce them:

• Eat lots of multicolored fruits and vegetables.
• Eat yogurt and take probiotics to keep the intestinal biome strong and functional.
• Be extra vigilant regarding sugars and sugar control to avoid peaks and valleys wherever possible.
• Keep the immune system strong with at least 7-8 hours sleep and reduce stress levels whenever possible.
• Avoid crowds and handshaking.
• Wash hands regularly.

Possible therapies

There are currently no drugs that have been approved specifically for the treatment of COVID-19, although a vaccine against the disease is currently under development.

Dr. Gupta and his colleagues noted in their article that there have been reports of the anecdotal use of antiviral drugs such as lopinavir, ritonavir, interferon-beta, the RNA polymerase inhibitor remdesivir, and chloroquine.

However, Dr. Handelsman said that, as far as he knows, none of these drugs has been shown to be beneficial for COVID-19. “Some [providers] have tried Tamiflu, but with no clear outcomes, and for severely sick patients, they tried medications for anti-HIV, hepatitis C, and malaria, but so far, there has been no breakthrough.”

Dr. Cohen, Dr. Handelsman, Dr. Jellinger, Dr. Levy, and Dr. Rettinger are members of the editorial advisory board of Clinical Endocrinology News. Dr. Gupta and Dr. Wu, and their colleagues, reported no conflicts of interest.

[email protected]

Patients with diabetes may be at extra risk for coronavirus disease (COVID-19) mortality, and doctors treating them need to keep up with the latest guidelines and expert advice.

Most health advisories about COVID-19 mention diabetes as one of the high-risk categories for the disease, likely because early data coming out of China, where the disease was first reported, indicated an elevated case-fatality rate for COVID-19 patients who also had diabetes.

In an article published in JAMA, Zunyou Wu, MD, and Jennifer M. McGoogan, PhD, summarized the findings from a February report on 44,672 confirmed cases of the disease from the Chinese Center for Disease Control and Prevention. The overall case-fatality rate (CFR) at that stage was 2.3% (1,023 deaths of the 44,672 confirmed cases). The data indicated that the CFR was elevated among COVID-19 patients with preexisting comorbid conditions, specifically, cardiovascular disease (CFR, 10.5%), diabetes (7.3%), chronic respiratory disease (6.3%), hypertension (6%), and cancer (5.6%).

The data also showed an aged-related trend in the CFR, with patients aged 80 years or older having a CFR of 14.8% and those aged 70-79 years, a rate of 8.0%, while there were no fatal cases reported in patients aged 9 years or younger (JAMA. 2020 Feb 24. doi: 10.1001/jama.2020.2648).

Those findings have been echoed by the U.S. Centers of Disease Control and Prevention. The American Diabetes Association and the American Association of Clinical Endocrinologists have in turn referenced the CDC in their COVID-19 guidance recommendations for patients with diabetes.

Guidelines were already in place for treatment of infections in patients with diabetes, and at this stage, it seems that the same guidelines would extend to those patients who are also diagnosed with COVID-19, which is caused by the novel coronavirus, SARS-CoV-2.

In general, patients with diabetes – especially those whose disease is not controlled, or not well controlled – can be more susceptible to more common infections, such as influenza and pneumonia, possibly because hyperglycemia can subdue immunity by disrupting function of the white blood cells.
 

Glucose control is key

An important factor in any form of infection control in patients with diabetes seems to be whether or not a patient’s glucose levels are well controlled, according to comments from members of the editorial advisory board for Clinical Endocrinology News. Good glucose control, therefore, could be instrumental in reducing both the risk for and severity of infection.

Paul Jellinger, MD, of the Center for Diabetes & Endocrine Care, Hollywood, Fla., said that, over the years, he had not observed higher infection rates in general in patients with hemoglobin A_1c levels below 7, or even higher. However, “a bigger question for me, given the broad category of ‘diabetes’ listed as a risk for serious coronavirus complications by the CDC, has been: Just which individuals with diabetes are really at risk? Are patients with well-controlled diabetes at increased risk as much as those with significant hyperglycemia and uncontrolled diabetes? In my view, not likely.”

Alan Jay Cohen, MD, agreed with Dr. Jellinger. “Many patients have called the office in the last 10 days to ask if there are special precautions they should take because they are reading that they are in the high-risk group because they have diabetes. Many of them are in superb, or at least pretty good, control. I have not seen where they have had a higher incidence of infection than the general population, and I have not seen data with COVID-19 that specifically demonstrates that a person with diabetes in good control has an increased risk,” he said.

“My recommendations to these patients have been the same as those given to the general population,” added Dr. Cohen, medical director at Baptist Medical Group: The Endocrine Clinic, Memphis.

Herbert I. Rettinger, MD, also conceded that poorly controlled blood sugars and confounding illnesses, such as renal and cardiac conditions, are common in patients with long-standing diabetes, but “there is a huge population of patients with type 1 diabetes, and very few seem to be more susceptible to infection. Perhaps I am missing those with poor diet and glucose control.”

Philip Levy, MD, picked up on that latter point, emphasizing that “endocrinologists take care of fewer patients with diabetes than do primary care physicians. Most patients with type 2 diabetes are not seen by us unless the PCP has problems [treating them],” so it could be that PCPs may see a higher number of patients who are at a greater risk for infections.

Ultimately, “good glucose control is very helpful in avoiding infections,” said Dr. Levy, of the Banner University Medical Group Endocrinology & Diabetes, Phoenix.
 

For sick patients

Guidelines for patients at the Joslin Diabetes Center in Boston advise patients who are feeling sick to continue taking their diabetes medications, unless instructed otherwise by their providers, and to monitor their glucose more frequently because it can spike suddenly.

Patients with type 1 diabetes should check for ketones if their glucose passes 250 mg/dL, according to the guidelines, and patients should remain hydrated at all times and get plenty of rest.

“Sick-day guidelines definitely apply, but patients should be advised to get tested if they have any symptoms they are concerned about,” said Dr. Rettinger, of the Endocrinology Medical Group of Orange County, Orange, Calif.

If patients with diabetes develop COVID-19, then home management may still be possible, according to Ritesh Gupta, MD, of Fortis C-DOC Hospital, New Delhi, and colleagues (Diabetes Metab Syndr. 2020 Mar 10;14[3]:211-2. doi: 10.1016/j.dsx.2020.03.002).

Dr. Rettinger agreed, noting that home management would be feasible as long as “everything is going well, that is, the patient is not experiencing respiratory problems or difficulties in controlling glucose levels. Consider patients with type 1 diabetes who have COVID-19 as you would a nursing home patient – ever vigilant.”

Dr. Gupta and coauthors also recommended basic treatment measures such as maintaining hydration and managing symptoms with acetaminophen and steam inhalation, and home isolation for 14 days or until the symptoms resolve. However, the ADA warns in its guidelines that patients should “be aware that some constant glucose monitoring sensors (Dexcom G5, Medtronic Enlite, and Guardian) are impacted by acetaminophen (Tylenol), and that patients should check with finger sticks to ensure accuracy [if they are taking acetaminophen].”

In the event of hyperglycemia with fever in patients with type 1 diabetes, blood glucose and urinary ketones should be monitored often, the authors wrote, cautioning that “frequent changes in dosage and correctional bolus may be required to maintain normoglycemia.” Dr Rettinger emphasized that “hyperglycemia, as always, is best treated with fluids and insulin and frequent checks of sugars to be sure the treatment regimen is successful.”

In regard to diabetic drug regimens, patients with type 1 or 2 disease should continue on their current medications, advised Yehuda Handelsman, MD. “Some, especially those on insulin, may require more of it. And the patient should increase fluid intake to prevent fluid depletion. We do not reduce antihyperglycemic medication to preserve fluids.

Preventive measures

In the interest of maintaining good glucose control, patients also should monitor their glucose levels more frequently so that fluctuations can be detected early and quickly addressed with the appropriate medication adjustments, according to guidelines from the ADA and AACE. They should continue to follow a healthy diet that includes adequate protein and they should exercise regularly.

Patients should ensure that they have enough medication and testing supplies – for at least 14 days, and longer, if costs permit – in case they have to go into quarantine.

General preventive measures, such as frequent hand washing with soap and water, practicing good respiratory hygiene by sneezing or coughing into a facial tissue or bent elbow, also apply for reducing the risk of infection. Touching of the face should be avoided, as should nonessential travel and contact with infected individuals.

Patients with diabetes should always be current with their influenza and pneumonia shots.

Dr. Rettinger said that he always recommends the following preventative measures to his patients and he is using the current health crisis to reinforce them:

• Eat lots of multicolored fruits and vegetables.
• Eat yogurt and take probiotics to keep the intestinal biome strong and functional.
• Be extra vigilant regarding sugars and sugar control to avoid peaks and valleys wherever possible.
• Keep the immune system strong with at least 7-8 hours sleep and reduce stress levels whenever possible.
• Avoid crowds and handshaking.
• Wash hands regularly.

Possible therapies

There are currently no drugs that have been approved specifically for the treatment of COVID-19, although a vaccine against the disease is currently under development.

Dr. Gupta and his colleagues noted in their article that there have been reports of the anecdotal use of antiviral drugs such as lopinavir, ritonavir, interferon-beta, the RNA polymerase inhibitor remdesivir, and chloroquine.

However, Dr. Handelsman said that, as far as he knows, none of these drugs has been shown to be beneficial for COVID-19. “Some [providers] have tried Tamiflu, but with no clear outcomes, and for severely sick patients, they tried medications for anti-HIV, hepatitis C, and malaria, but so far, there has been no breakthrough.”

Dr. Cohen, Dr. Handelsman, Dr. Jellinger, Dr. Levy, and Dr. Rettinger are members of the editorial advisory board of Clinical Endocrinology News. Dr. Gupta and Dr. Wu, and their colleagues, reported no conflicts of interest.

[email protected]

Patients with diabetes may have an increased risk of developing coronavirus infection (COVID-19), along with increased risks of morbidity and mortality, according to researchers writing in Diabetes & Metabolic Syndrome.

Although relevant clinical data remain scarce, patients with diabetes should take extra precautions to avoid infection and, if infected, may require special care, reported Ritesh Gupta, MD, of Fortis C-DOC Hospital, New Delhi, and colleagues.

“The disease severity [with COVID-19] has varied from mild, self-limiting, flu-like illness to fulminant pneumonia, respiratory failure, and death,” the authors wrote.

As of March 16, 2020, the World Health Organization reported 167,515 confirmed cases of COVID-19 and 6,606 deaths from around the world, with a mortality rate of 3.9%. But the actual mortality rate may be lower, the authors suggested, because a study involving more than 1,000 confirmed cases reported a mortality rate of 1.4%.

“Considering that the number of unreported and unconfirmed cases is likely to be much higher than the reported cases, the actual mortality may be less than 1%, which is similar to that of severe seasonal influenza,” the authors said, in reference to an editorial by Anthony S. Fauci, MD, and colleagues in the New England Journal of Medicine. In addition, they noted, mortality rates may vary by region.

The largest study relevant to patients with diabetes, which involved 72,314 cases of COVID-19, showed that patients with diabetes had a threefold higher mortality rate than did those without diabetes (7.3% vs. 2.3%, respectively). These figures were reported by the Chinese Centre for Disease Control and Prevention.

However, data from smaller cohorts with diabetes and COVID-19 have yielded mixed results. For instance, one study, involving 140 patients from Wuhan, suggested that diabetes was not a risk factor for severe disease, and in an analysis of 11 studies reporting on laboratory abnormalities in patients with a diagnosis of COVID-19, raised blood sugar levels or diabetes were not mentioned among the predictors of severe disease.

“Our knowledge about the prevalence of COVID-19 and disease course in people with diabetes will evolve as more detailed analyses are carried out,” the authors wrote. “For now, it is reasonable to assume that people with diabetes are at increased risk of developing infection. Coexisting heart disease, kidney disease, advanced age, and frailty are likely to further increase the severity of disease.”
 

Prevention first

“It is important that people with diabetes maintain good glycemic control, because it might help in reducing the risk of infection and the severity,” the authors wrote.

In addition to more frequent monitoring of blood glucose levels, they recommended other preventive measures, such as getting adequate nutrition, exercising, and being current with vaccinations for influenza and pneumonia. The latter, they said, may also reduce the risk of secondary bacterial pneumonia after a respiratory viral infection.

In regard to nutrition, adequate protein intake is important and “any deficiencies of minerals and vitamins need to be taken care of,” they advised. Likewise, exercise is known to improve immunity and should continue, but they suggest avoiding gyms and swimming pools.

For patients with coexisting heart and/or kidney disease, they also recommended efforts to stabilize cardiac/renal status.

In addition, the general preventive measures, such as regular and thorough hand washing with soap and water, practicing good respiratory hygiene by sneezing and coughing into a bent elbow or a facial tissue, and avoiding contact with anyone who is infected, should be observed.

As with other patients with chronic diseases that are managed long-term medications, patients with diabetes should always ensure that they have a sufficient supply of their medications and refills, if possible.
 

After a diagnosis

If patients with diabetes develop COVID-19, then home management may still be possible, wrote the authors, who recommended basic treatment measures such as maintaining hydration and managing symptoms with acetaminophen and steam inhalation, and home isolation for 14 days or until the symptoms resolve.

In the event of hyperglycemia with fever in patients with type 1 diabetes, blood glucose and urinary ketones should be monitored often. “Frequent changes in dosage and correctional bolus may be required to maintain normoglycemia,” they cautioned.

Concerning diabetic drug regimens, they suggest patients avoid antihyperglycemic agents that can cause volume depletion or hypoglycemia and, if necessary, that they reduce oral antidiabetic drugs and follow sick-day guidelines.

For hospitalized patients, the investigators strengthened that statement, advising that oral agents need to be stopped, particularly sodium-glucose cotransporter 2 inhibitors and metformin. “Insulin is the preferred agent for control of hyperglycemia in hospitalized sick patients,” they wrote.

Untested therapies

The authors also discussed a range of untested therapies that may help fight COVID-19, such as antiviral drugs (such as lopinavir and ritonavir), zinc nanoparticles, and vitamin C. Supplementing those recommendations, Dr. Gupta and colleagues provided a concise review of COVID-19 epidemiology and extant data relevant to patients with diabetes.

The investigators reported no conflicts of interest.

SOURCE: Gupta et al. Diabetes Metab Syndr. 2020;14(3):211-12.

Patients with diabetes may have an increased risk of developing coronavirus infection (COVID-19), along with increased risks of morbidity and mortality, according to researchers writing in Diabetes & Metabolic Syndrome.

Although relevant clinical data remain scarce, patients with diabetes should take extra precautions to avoid infection and, if infected, may require special care, reported Ritesh Gupta, MD, of Fortis C-DOC Hospital, New Delhi, and colleagues.

“The disease severity [with COVID-19] has varied from mild, self-limiting, flu-like illness to fulminant pneumonia, respiratory failure, and death,” the authors wrote.

As of March 16, 2020, the World Health Organization reported 167,515 confirmed cases of COVID-19 and 6,606 deaths from around the world, with a mortality rate of 3.9%. But the actual mortality rate may be lower, the authors suggested, because a study involving more than 1,000 confirmed cases reported a mortality rate of 1.4%.

“Considering that the number of unreported and unconfirmed cases is likely to be much higher than the reported cases, the actual mortality may be less than 1%, which is similar to that of severe seasonal influenza,” the authors said, in reference to an editorial by Anthony S. Fauci, MD, and colleagues in the New England Journal of Medicine. In addition, they noted, mortality rates may vary by region.

The largest study relevant to patients with diabetes, which involved 72,314 cases of COVID-19, showed that patients with diabetes had a threefold higher mortality rate than did those without diabetes (7.3% vs. 2.3%, respectively). These figures were reported by the Chinese Centre for Disease Control and Prevention.

However, data from smaller cohorts with diabetes and COVID-19 have yielded mixed results. For instance, one study, involving 140 patients from Wuhan, suggested that diabetes was not a risk factor for severe disease, and in an analysis of 11 studies reporting on laboratory abnormalities in patients with a diagnosis of COVID-19, raised blood sugar levels or diabetes were not mentioned among the predictors of severe disease.

“Our knowledge about the prevalence of COVID-19 and disease course in people with diabetes will evolve as more detailed analyses are carried out,” the authors wrote. “For now, it is reasonable to assume that people with diabetes are at increased risk of developing infection. Coexisting heart disease, kidney disease, advanced age, and frailty are likely to further increase the severity of disease.”
 

Prevention first

“It is important that people with diabetes maintain good glycemic control, because it might help in reducing the risk of infection and the severity,” the authors wrote.

In addition to more frequent monitoring of blood glucose levels, they recommended other preventive measures, such as getting adequate nutrition, exercising, and being current with vaccinations for influenza and pneumonia. The latter, they said, may also reduce the risk of secondary bacterial pneumonia after a respiratory viral infection.

In regard to nutrition, adequate protein intake is important and “any deficiencies of minerals and vitamins need to be taken care of,” they advised. Likewise, exercise is known to improve immunity and should continue, but they suggest avoiding gyms and swimming pools.

For patients with coexisting heart and/or kidney disease, they also recommended efforts to stabilize cardiac/renal status.

In addition, the general preventive measures, such as regular and thorough hand washing with soap and water, practicing good respiratory hygiene by sneezing and coughing into a bent elbow or a facial tissue, and avoiding contact with anyone who is infected, should be observed.

As with other patients with chronic diseases that are managed long-term medications, patients with diabetes should always ensure that they have a sufficient supply of their medications and refills, if possible.
 

After a diagnosis

If patients with diabetes develop COVID-19, then home management may still be possible, wrote the authors, who recommended basic treatment measures such as maintaining hydration and managing symptoms with acetaminophen and steam inhalation, and home isolation for 14 days or until the symptoms resolve.

In the event of hyperglycemia with fever in patients with type 1 diabetes, blood glucose and urinary ketones should be monitored often. “Frequent changes in dosage and correctional bolus may be required to maintain normoglycemia,” they cautioned.

Concerning diabetic drug regimens, they suggest patients avoid antihyperglycemic agents that can cause volume depletion or hypoglycemia and, if necessary, that they reduce oral antidiabetic drugs and follow sick-day guidelines.

For hospitalized patients, the investigators strengthened that statement, advising that oral agents need to be stopped, particularly sodium-glucose cotransporter 2 inhibitors and metformin. “Insulin is the preferred agent for control of hyperglycemia in hospitalized sick patients,” they wrote.

Untested therapies

The authors also discussed a range of untested therapies that may help fight COVID-19, such as antiviral drugs (such as lopinavir and ritonavir), zinc nanoparticles, and vitamin C. Supplementing those recommendations, Dr. Gupta and colleagues provided a concise review of COVID-19 epidemiology and extant data relevant to patients with diabetes.

The investigators reported no conflicts of interest.

SOURCE: Gupta et al. Diabetes Metab Syndr. 2020;14(3):211-12.

Patients with diabetes may have an increased risk of developing coronavirus infection (COVID-19), along with increased risks of morbidity and mortality, according to researchers writing in Diabetes & Metabolic Syndrome.

Although relevant clinical data remain scarce, patients with diabetes should take extra precautions to avoid infection and, if infected, may require special care, reported Ritesh Gupta, MD, of Fortis C-DOC Hospital, New Delhi, and colleagues.

“The disease severity [with COVID-19] has varied from mild, self-limiting, flu-like illness to fulminant pneumonia, respiratory failure, and death,” the authors wrote.

As of March 16, 2020, the World Health Organization reported 167,515 confirmed cases of COVID-19 and 6,606 deaths from around the world, with a mortality rate of 3.9%. But the actual mortality rate may be lower, the authors suggested, because a study involving more than 1,000 confirmed cases reported a mortality rate of 1.4%.

“Considering that the number of unreported and unconfirmed cases is likely to be much higher than the reported cases, the actual mortality may be less than 1%, which is similar to that of severe seasonal influenza,” the authors said, in reference to an editorial by Anthony S. Fauci, MD, and colleagues in the New England Journal of Medicine. In addition, they noted, mortality rates may vary by region.

The largest study relevant to patients with diabetes, which involved 72,314 cases of COVID-19, showed that patients with diabetes had a threefold higher mortality rate than did those without diabetes (7.3% vs. 2.3%, respectively). These figures were reported by the Chinese Centre for Disease Control and Prevention.

However, data from smaller cohorts with diabetes and COVID-19 have yielded mixed results. For instance, one study, involving 140 patients from Wuhan, suggested that diabetes was not a risk factor for severe disease, and in an analysis of 11 studies reporting on laboratory abnormalities in patients with a diagnosis of COVID-19, raised blood sugar levels or diabetes were not mentioned among the predictors of severe disease.

“Our knowledge about the prevalence of COVID-19 and disease course in people with diabetes will evolve as more detailed analyses are carried out,” the authors wrote. “For now, it is reasonable to assume that people with diabetes are at increased risk of developing infection. Coexisting heart disease, kidney disease, advanced age, and frailty are likely to further increase the severity of disease.”
 

Prevention first

“It is important that people with diabetes maintain good glycemic control, because it might help in reducing the risk of infection and the severity,” the authors wrote.

In addition to more frequent monitoring of blood glucose levels, they recommended other preventive measures, such as getting adequate nutrition, exercising, and being current with vaccinations for influenza and pneumonia. The latter, they said, may also reduce the risk of secondary bacterial pneumonia after a respiratory viral infection.

In regard to nutrition, adequate protein intake is important and “any deficiencies of minerals and vitamins need to be taken care of,” they advised. Likewise, exercise is known to improve immunity and should continue, but they suggest avoiding gyms and swimming pools.

For patients with coexisting heart and/or kidney disease, they also recommended efforts to stabilize cardiac/renal status.

In addition, the general preventive measures, such as regular and thorough hand washing with soap and water, practicing good respiratory hygiene by sneezing and coughing into a bent elbow or a facial tissue, and avoiding contact with anyone who is infected, should be observed.

As with other patients with chronic diseases that are managed long-term medications, patients with diabetes should always ensure that they have a sufficient supply of their medications and refills, if possible.
 

After a diagnosis

If patients with diabetes develop COVID-19, then home management may still be possible, wrote the authors, who recommended basic treatment measures such as maintaining hydration and managing symptoms with acetaminophen and steam inhalation, and home isolation for 14 days or until the symptoms resolve.

In the event of hyperglycemia with fever in patients with type 1 diabetes, blood glucose and urinary ketones should be monitored often. “Frequent changes in dosage and correctional bolus may be required to maintain normoglycemia,” they cautioned.

Concerning diabetic drug regimens, they suggest patients avoid antihyperglycemic agents that can cause volume depletion or hypoglycemia and, if necessary, that they reduce oral antidiabetic drugs and follow sick-day guidelines.

For hospitalized patients, the investigators strengthened that statement, advising that oral agents need to be stopped, particularly sodium-glucose cotransporter 2 inhibitors and metformin. “Insulin is the preferred agent for control of hyperglycemia in hospitalized sick patients,” they wrote.

Untested therapies

The authors also discussed a range of untested therapies that may help fight COVID-19, such as antiviral drugs (such as lopinavir and ritonavir), zinc nanoparticles, and vitamin C. Supplementing those recommendations, Dr. Gupta and colleagues provided a concise review of COVID-19 epidemiology and extant data relevant to patients with diabetes.

The investigators reported no conflicts of interest.

SOURCE: Gupta et al. Diabetes Metab Syndr. 2020;14(3):211-12.

PHOENIX – More favorable cardiovascular health at 28 weeks’ gestation was associated with lower risks for several adverse maternal and newborn pregnancy outcomes, according to results from a multinational cohort study.

Doug Brunk/MDedge News

“Over the past 10 years, cardiovascular health [CVH] has been characterized across most of the life course and is associated with a variety of health outcomes, but CVH as a whole has not been well studied during pregnancy,” Amanda M. Perak, MD, said at the Epidemiology and Prevention/Lifestyle and Cardiometabolic Health meeting.

In an effort to examine the associations of maternal gestational CVH with adverse maternal and newborn outcomes, Dr. Perak of the departments of pediatrics and preventive medicine at Northwestern University and Lurie Children’s Hospital, both in Chicago, and colleagues drew from the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study, which examined pregnant women at a target of 28 weeks’ gestation and assessed the associations of glycemia with pregnancy outcomes. The researchers analyzed data from an ancillary study of 2,230 mother-child dyads to characterize clinical gestational CVH with use of five metrics: body mass index, blood pressure, cholesterol, glucose, and smoking. The study excluded women with prepregnancy diabetes, preterm births, and cases of fetal death/major malformations.

Each maternal CVH metric was classified as ideal, intermediate, or poor according to modified definitions based on pregnancy guidelines. “For lipids, it’s known that levels change substantially during pregnancy, but there are no pregnancy guidelines,” Dr. Perak said. “We and others have also shown that higher triglycerides in pregnancy are associated with adverse pregnancy outcomes. We selected thresholds of less than 250 mg/dL for ideal and at least 500 mg/dL for poor, based on triglyceride distribution and clinical relevance.”

Total CVH was scored by assigning 2 points for ideal, 1 for intermediate, and 0 for each poor metric, for a total possible 10 points, with 10 being most favorable. They also created four CVH categories, ranging from all ideal to two or more poor metrics. Maternal adverse pregnancy outcomes included preeclampsia and unplanned primary cesarean section. Newborn adverse pregnancy outcomes included birth weight above the 90th percentile and a cord blood insulin sensitivity index lower than the 10th percentile.

The researchers used logistic and multinomial logistic regression of pregnancy outcomes on maternal gestational CVH in two adjusted models. Secondarily, they examined associations of individual CVH metrics with outcomes, with adjustment for the other metrics.

The cohort comprised mother-child dyads from nine field centers in six countries: the United States (25%), Barbados (23%), United Kingdom (21%), China (18%), Thailand (7%), and Canada (7%). The mothers’ mean age was 30 years, and the mean gestational age was 28 weeks. The mean gestational CVH score was 8.8 out of 10. Nearly half of mothers (42%) had ideal metrics, while 4% had two or more poor metrics. Delivery occurred at a mean of 39.8 weeks, and adverse pregnancy outcomes occurred in 4.7%-17.9% of pregnancies.

In the fully adjusted model, which accounted for maternal age, height, alcohol use, gestational age at pregnancy exam, maternal parity, and newborn sex and race/ethnicity, odds ratios per 1-point higher (better) CVH score were 0.61 (95% confidence interval, 0.53-0.70) for preeclampsia, 0.85 (95% CI, 0.76-0.95) for unplanned primary cesarean section (among primiparous mothers), 0.83 (95% CI, 0.77-0.91) for large for gestational age infant, and 0.79 (95% CI, 0.72-0.87) for infant insulin sensitivity index below the 10th percentile. CVH categories were also associated with outcomes. For example, odds ratios for preeclampsia were 4.61 (95% CI, 2.13-11.14) for mothers with one or more intermediate metrics, 7.62 (95% CI, 3.60-18.13) for mothers with one poor metric, and 12.02 (95% CI, 4.70-32.50) for mothers with two or more poor metrics, compared with mothers with all metrics ideal.

“Except for smoking, each CVH metric was independently associated with adverse outcomes,” Dr. Perak said. “However, total CVH was associated with a wider range of outcomes than any single metric. This suggests that CVH provides health insights beyond single risk factors.”

Strengths of the study, she continued, included geographic and racial diversity of participants and high-quality research measurements of CVH. Limitations were that the cohort excluded prepregnancy diabetes and preterm births. “Diet and exercise data were not available, and CVH was measured once at 28 weeks,” she said. “Further study is needed across pregnancy and in other settings, but this study provides the first data on the relevance of gestational CVH for pregnancy outcomes.”

In an interview, Stephen S. Rich, PhD, who directs the Center for Public Health Genomics at the University of Virginia, said that the data “provide strong epidemiologic support to focus on the full range of cardiovascular health. In my view, the primary limitation of the study is that there may be significant differences in how one achieves ideal CHV across a single country, not to mention across the world, particularly in absence of a highly controlled, research environment. It is not clear that the approach used in this study at nine selected sites in six relatively highly developed countries could be translated into primary care – particularly in the U.S. with different regulatory and reimbursement plans and payers. Nonetheless, the evidence suggests a way to reduce adverse outcomes in pregnancy and the area deserves greater research.”

According to Dr. Perak, gestational diabetes is associated with a twofold higher maternal risk for cardiovascular disease (Diabetologia. 2019;62:905-14), while diabetes is also associated with higher offspring risk for CVD (BMJ. 2019;367:16398). However, a paucity of data exists on gestational CVH. In one report, better gestational CVH was associated with less subclinical CVD for the mother 10 years later (J Am Heart Assoc. 2019 Jul 23. doi:10.1161/JAHA.118.011394). In a separate analysis, Dr. Perak and her colleagues found that better gestational CVH was associated with better offspring CVH in childhood. “Unfortunately, we also reported that, among pregnant women in the United States, fewer than 1 in 10 had high CVH,” she said (J Am Heart Assoc. 2020 Feb 17. doi:10.1161/JAHA.119.015123). “However, the relevance of gestational CVH for pregnancy outcomes is unknown, but a it’s key question when considering CVH monitoring in prenatal care.”

Dr. Perak reported having received grant support from the National Heart, Lung, and Blood Institute, the American Heart Association, and Northwestern University. The HAPO Study was supported by NHLBI and the National Institute of Diabetes and Digestive and Kidney Diseases.

The meeting was sponsored by the American Heart Association.

[email protected]

SOURCE: Perak A et al. Epi/Lifestyle 2020, Abstract 33.

PHOENIX – More favorable cardiovascular health at 28 weeks’ gestation was associated with lower risks for several adverse maternal and newborn pregnancy outcomes, according to results from a multinational cohort study.

Doug Brunk/MDedge News

“Over the past 10 years, cardiovascular health [CVH] has been characterized across most of the life course and is associated with a variety of health outcomes, but CVH as a whole has not been well studied during pregnancy,” Amanda M. Perak, MD, said at the Epidemiology and Prevention/Lifestyle and Cardiometabolic Health meeting.

In an effort to examine the associations of maternal gestational CVH with adverse maternal and newborn outcomes, Dr. Perak of the departments of pediatrics and preventive medicine at Northwestern University and Lurie Children’s Hospital, both in Chicago, and colleagues drew from the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study, which examined pregnant women at a target of 28 weeks’ gestation and assessed the associations of glycemia with pregnancy outcomes. The researchers analyzed data from an ancillary study of 2,230 mother-child dyads to characterize clinical gestational CVH with use of five metrics: body mass index, blood pressure, cholesterol, glucose, and smoking. The study excluded women with prepregnancy diabetes, preterm births, and cases of fetal death/major malformations.

Each maternal CVH metric was classified as ideal, intermediate, or poor according to modified definitions based on pregnancy guidelines. “For lipids, it’s known that levels change substantially during pregnancy, but there are no pregnancy guidelines,” Dr. Perak said. “We and others have also shown that higher triglycerides in pregnancy are associated with adverse pregnancy outcomes. We selected thresholds of less than 250 mg/dL for ideal and at least 500 mg/dL for poor, based on triglyceride distribution and clinical relevance.”

Total CVH was scored by assigning 2 points for ideal, 1 for intermediate, and 0 for each poor metric, for a total possible 10 points, with 10 being most favorable. They also created four CVH categories, ranging from all ideal to two or more poor metrics. Maternal adverse pregnancy outcomes included preeclampsia and unplanned primary cesarean section. Newborn adverse pregnancy outcomes included birth weight above the 90th percentile and a cord blood insulin sensitivity index lower than the 10th percentile.

The researchers used logistic and multinomial logistic regression of pregnancy outcomes on maternal gestational CVH in two adjusted models. Secondarily, they examined associations of individual CVH metrics with outcomes, with adjustment for the other metrics.

The cohort comprised mother-child dyads from nine field centers in six countries: the United States (25%), Barbados (23%), United Kingdom (21%), China (18%), Thailand (7%), and Canada (7%). The mothers’ mean age was 30 years, and the mean gestational age was 28 weeks. The mean gestational CVH score was 8.8 out of 10. Nearly half of mothers (42%) had ideal metrics, while 4% had two or more poor metrics. Delivery occurred at a mean of 39.8 weeks, and adverse pregnancy outcomes occurred in 4.7%-17.9% of pregnancies.

In the fully adjusted model, which accounted for maternal age, height, alcohol use, gestational age at pregnancy exam, maternal parity, and newborn sex and race/ethnicity, odds ratios per 1-point higher (better) CVH score were 0.61 (95% confidence interval, 0.53-0.70) for preeclampsia, 0.85 (95% CI, 0.76-0.95) for unplanned primary cesarean section (among primiparous mothers), 0.83 (95% CI, 0.77-0.91) for large for gestational age infant, and 0.79 (95% CI, 0.72-0.87) for infant insulin sensitivity index below the 10th percentile. CVH categories were also associated with outcomes. For example, odds ratios for preeclampsia were 4.61 (95% CI, 2.13-11.14) for mothers with one or more intermediate metrics, 7.62 (95% CI, 3.60-18.13) for mothers with one poor metric, and 12.02 (95% CI, 4.70-32.50) for mothers with two or more poor metrics, compared with mothers with all metrics ideal.

“Except for smoking, each CVH metric was independently associated with adverse outcomes,” Dr. Perak said. “However, total CVH was associated with a wider range of outcomes than any single metric. This suggests that CVH provides health insights beyond single risk factors.”

Strengths of the study, she continued, included geographic and racial diversity of participants and high-quality research measurements of CVH. Limitations were that the cohort excluded prepregnancy diabetes and preterm births. “Diet and exercise data were not available, and CVH was measured once at 28 weeks,” she said. “Further study is needed across pregnancy and in other settings, but this study provides the first data on the relevance of gestational CVH for pregnancy outcomes.”

In an interview, Stephen S. Rich, PhD, who directs the Center for Public Health Genomics at the University of Virginia, said that the data “provide strong epidemiologic support to focus on the full range of cardiovascular health. In my view, the primary limitation of the study is that there may be significant differences in how one achieves ideal CHV across a single country, not to mention across the world, particularly in absence of a highly controlled, research environment. It is not clear that the approach used in this study at nine selected sites in six relatively highly developed countries could be translated into primary care – particularly in the U.S. with different regulatory and reimbursement plans and payers. Nonetheless, the evidence suggests a way to reduce adverse outcomes in pregnancy and the area deserves greater research.”

According to Dr. Perak, gestational diabetes is associated with a twofold higher maternal risk for cardiovascular disease (Diabetologia. 2019;62:905-14), while diabetes is also associated with higher offspring risk for CVD (BMJ. 2019;367:16398). However, a paucity of data exists on gestational CVH. In one report, better gestational CVH was associated with less subclinical CVD for the mother 10 years later (J Am Heart Assoc. 2019 Jul 23. doi:10.1161/JAHA.118.011394). In a separate analysis, Dr. Perak and her colleagues found that better gestational CVH was associated with better offspring CVH in childhood. “Unfortunately, we also reported that, among pregnant women in the United States, fewer than 1 in 10 had high CVH,” she said (J Am Heart Assoc. 2020 Feb 17. doi:10.1161/JAHA.119.015123). “However, the relevance of gestational CVH for pregnancy outcomes is unknown, but a it’s key question when considering CVH monitoring in prenatal care.”

Dr. Perak reported having received grant support from the National Heart, Lung, and Blood Institute, the American Heart Association, and Northwestern University. The HAPO Study was supported by NHLBI and the National Institute of Diabetes and Digestive and Kidney Diseases.

The meeting was sponsored by the American Heart Association.

[email protected]

SOURCE: Perak A et al. Epi/Lifestyle 2020, Abstract 33.

PHOENIX – More favorable cardiovascular health at 28 weeks’ gestation was associated with lower risks for several adverse maternal and newborn pregnancy outcomes, according to results from a multinational cohort study.

Doug Brunk/MDedge News

“Over the past 10 years, cardiovascular health [CVH] has been characterized across most of the life course and is associated with a variety of health outcomes, but CVH as a whole has not been well studied during pregnancy,” Amanda M. Perak, MD, said at the Epidemiology and Prevention/Lifestyle and Cardiometabolic Health meeting.

In an effort to examine the associations of maternal gestational CVH with adverse maternal and newborn outcomes, Dr. Perak of the departments of pediatrics and preventive medicine at Northwestern University and Lurie Children’s Hospital, both in Chicago, and colleagues drew from the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study, which examined pregnant women at a target of 28 weeks’ gestation and assessed the associations of glycemia with pregnancy outcomes. The researchers analyzed data from an ancillary study of 2,230 mother-child dyads to characterize clinical gestational CVH with use of five metrics: body mass index, blood pressure, cholesterol, glucose, and smoking. The study excluded women with prepregnancy diabetes, preterm births, and cases of fetal death/major malformations.

Each maternal CVH metric was classified as ideal, intermediate, or poor according to modified definitions based on pregnancy guidelines. “For lipids, it’s known that levels change substantially during pregnancy, but there are no pregnancy guidelines,” Dr. Perak said. “We and others have also shown that higher triglycerides in pregnancy are associated with adverse pregnancy outcomes. We selected thresholds of less than 250 mg/dL for ideal and at least 500 mg/dL for poor, based on triglyceride distribution and clinical relevance.”

Total CVH was scored by assigning 2 points for ideal, 1 for intermediate, and 0 for each poor metric, for a total possible 10 points, with 10 being most favorable. They also created four CVH categories, ranging from all ideal to two or more poor metrics. Maternal adverse pregnancy outcomes included preeclampsia and unplanned primary cesarean section. Newborn adverse pregnancy outcomes included birth weight above the 90th percentile and a cord blood insulin sensitivity index lower than the 10th percentile.

The researchers used logistic and multinomial logistic regression of pregnancy outcomes on maternal gestational CVH in two adjusted models. Secondarily, they examined associations of individual CVH metrics with outcomes, with adjustment for the other metrics.

The cohort comprised mother-child dyads from nine field centers in six countries: the United States (25%), Barbados (23%), United Kingdom (21%), China (18%), Thailand (7%), and Canada (7%). The mothers’ mean age was 30 years, and the mean gestational age was 28 weeks. The mean gestational CVH score was 8.8 out of 10. Nearly half of mothers (42%) had ideal metrics, while 4% had two or more poor metrics. Delivery occurred at a mean of 39.8 weeks, and adverse pregnancy outcomes occurred in 4.7%-17.9% of pregnancies.

In the fully adjusted model, which accounted for maternal age, height, alcohol use, gestational age at pregnancy exam, maternal parity, and newborn sex and race/ethnicity, odds ratios per 1-point higher (better) CVH score were 0.61 (95% confidence interval, 0.53-0.70) for preeclampsia, 0.85 (95% CI, 0.76-0.95) for unplanned primary cesarean section (among primiparous mothers), 0.83 (95% CI, 0.77-0.91) for large for gestational age infant, and 0.79 (95% CI, 0.72-0.87) for infant insulin sensitivity index below the 10th percentile. CVH categories were also associated with outcomes. For example, odds ratios for preeclampsia were 4.61 (95% CI, 2.13-11.14) for mothers with one or more intermediate metrics, 7.62 (95% CI, 3.60-18.13) for mothers with one poor metric, and 12.02 (95% CI, 4.70-32.50) for mothers with two or more poor metrics, compared with mothers with all metrics ideal.

“Except for smoking, each CVH metric was independently associated with adverse outcomes,” Dr. Perak said. “However, total CVH was associated with a wider range of outcomes than any single metric. This suggests that CVH provides health insights beyond single risk factors.”

Strengths of the study, she continued, included geographic and racial diversity of participants and high-quality research measurements of CVH. Limitations were that the cohort excluded prepregnancy diabetes and preterm births. “Diet and exercise data were not available, and CVH was measured once at 28 weeks,” she said. “Further study is needed across pregnancy and in other settings, but this study provides the first data on the relevance of gestational CVH for pregnancy outcomes.”

In an interview, Stephen S. Rich, PhD, who directs the Center for Public Health Genomics at the University of Virginia, said that the data “provide strong epidemiologic support to focus on the full range of cardiovascular health. In my view, the primary limitation of the study is that there may be significant differences in how one achieves ideal CHV across a single country, not to mention across the world, particularly in absence of a highly controlled, research environment. It is not clear that the approach used in this study at nine selected sites in six relatively highly developed countries could be translated into primary care – particularly in the U.S. with different regulatory and reimbursement plans and payers. Nonetheless, the evidence suggests a way to reduce adverse outcomes in pregnancy and the area deserves greater research.”

According to Dr. Perak, gestational diabetes is associated with a twofold higher maternal risk for cardiovascular disease (Diabetologia. 2019;62:905-14), while diabetes is also associated with higher offspring risk for CVD (BMJ. 2019;367:16398). However, a paucity of data exists on gestational CVH. In one report, better gestational CVH was associated with less subclinical CVD for the mother 10 years later (J Am Heart Assoc. 2019 Jul 23. doi:10.1161/JAHA.118.011394). In a separate analysis, Dr. Perak and her colleagues found that better gestational CVH was associated with better offspring CVH in childhood. “Unfortunately, we also reported that, among pregnant women in the United States, fewer than 1 in 10 had high CVH,” she said (J Am Heart Assoc. 2020 Feb 17. doi:10.1161/JAHA.119.015123). “However, the relevance of gestational CVH for pregnancy outcomes is unknown, but a it’s key question when considering CVH monitoring in prenatal care.”

Dr. Perak reported having received grant support from the National Heart, Lung, and Blood Institute, the American Heart Association, and Northwestern University. The HAPO Study was supported by NHLBI and the National Institute of Diabetes and Digestive and Kidney Diseases.

The meeting was sponsored by the American Heart Association.

[email protected]

SOURCE: Perak A et al. Epi/Lifestyle 2020, Abstract 33.

Several risk factors, including smoking, a previous severe hypoglycemic event, and poorly functioning kidneys, can lead to vision loss in patients with type 2 diabetes, according to new findings published in the Journal of Diabetes and its Complications.

“Smoking cessation strategies and optimal cardiometabolic risk factor management, including blood glucose lowering regimens that minimize hypoglycemia, appear important in preventing the loss of vision associated with type 2 diabetes,” wrote Jocelyn J. Drinkwater of the University of Western Australia, Perth, and coauthors, noting that all three noted risk factors were “potentially modifiable.”

To investigate the impact of type 2 diabetes and associated risk factors on vision, the researchers recruited 1,732 participants for the Fremantle Diabetes Study Phase II, of whom 1,551 patients had type 2 diabetes and underwent face-to-face and visual acuity assessments at baseline and at 2 and 4 years. Visual acuity was measured via the Bailey Lovie chart at a distance of 3 m in a well-lit room. Normal or near-normal vision was classified as a visual acuity of equal to or less than 6/19; visual impairment, a visual acuity of greater than 6/19 and equal to or less than 6/48; and blindness, a visual acuity of greater than 6/48. A change in vision was classified as a difference in visual acuity of more than 10 letters from baseline measurement.

Of the initial 1,551 participants, 31 were excluded because of missing baseline data for visual acuity. The remaining group comprised 52.2% men, the mean age was 65.6 years, and the median diabetes duration was 8.5 years (interquartile range, 2.9-15.8). At baseline, the prevalence of visual impairment was 1.8% (28 patients), and prevalence of blindness was 0.7% (11 patients), so those 39 patients were also excluded from further analysis.

After 4 years, 599 patients (39%) were excluded because of attrition or missing data; among them, 138 (23%) died before the follow-up.

The remaining 882 participants (58%) had their visual acuity measured. Among these patients, 62.2% were men, with a mean age of 65.1 years and an initial median diabetes duration of 7 years (IQR, 2.0-15.0). Their cumulative incidence of visual impairment was 0.9% (eight patients), and no patients with normal or near-normal vision had developed blindness. Cumulative incidence of vision loss was 2.9% (26), and 1.9% (17) had improved visual acuity.

After multivariable logistic regression to determine predictors for vision loss, the researchers found that participants who smoked at baseline were more than three times more likely to lose their vision (odds ratio, 3.17; 95% confidence interval, 1.15-8.76; P = .026). Although smoking was noted as a “well-recognized risk factor for ocular disease,” the authors added that ex-smokers did not have significantly higher odds of vision loss, compared with nonsmokers, suggesting that the “ocular damage caused by smoking may not be permanent.”

Participants who had suffered a severe hypoglycemic event before the study were five times more likely to lose their vision (OR, 5.59; 95% CI, 1.32-23.61; P = .019). The authors emphasized that severe hypoglycemia can worsen existing ischemic tissue damage or contribute to a long duration of poorly controlled diabetes, each of which could “increase the risk of ocular complications leading to impaired vision.”

The final notable risk factor was compromised kidney function, which is identified as a urinary albumin-creatinine ratio (uACR). The authors noted that the uACR has been associated with other ocular pathologies, such as retinopathy and macular edema, and that uACR may be a “surrogate marker of a variety of ocular diseases with shared risk factors, such as poor metabolic control, which have implications for vision.”

In regard to the possible limitations of the study, they authors noted that they had not used the “gold standard” Early Treatment Diabetic Retinopathy Study chart to assess visual acuity. In addition, although they had details on retinopathy, cataracts, and glaucoma status, they did not also consider less common ophthalmic conditions. Finally, as a survivor cohort, they acknowledged that they may have “underestimated the cumulative incidence” of vision issues in the participants.

The study was supported by the National Health and Medical Research Council of Australia. The authors reported no conflicts of interest.

SOURCE: Drinkwater JJ et al. J Diabetes Complications. 2020 Feb 20. doi: 10.1016/j.jdiacomp.2020.107560.

Several risk factors, including smoking, a previous severe hypoglycemic event, and poorly functioning kidneys, can lead to vision loss in patients with type 2 diabetes, according to new findings published in the Journal of Diabetes and its Complications.

“Smoking cessation strategies and optimal cardiometabolic risk factor management, including blood glucose lowering regimens that minimize hypoglycemia, appear important in preventing the loss of vision associated with type 2 diabetes,” wrote Jocelyn J. Drinkwater of the University of Western Australia, Perth, and coauthors, noting that all three noted risk factors were “potentially modifiable.”

To investigate the impact of type 2 diabetes and associated risk factors on vision, the researchers recruited 1,732 participants for the Fremantle Diabetes Study Phase II, of whom 1,551 patients had type 2 diabetes and underwent face-to-face and visual acuity assessments at baseline and at 2 and 4 years. Visual acuity was measured via the Bailey Lovie chart at a distance of 3 m in a well-lit room. Normal or near-normal vision was classified as a visual acuity of equal to or less than 6/19; visual impairment, a visual acuity of greater than 6/19 and equal to or less than 6/48; and blindness, a visual acuity of greater than 6/48. A change in vision was classified as a difference in visual acuity of more than 10 letters from baseline measurement.

Of the initial 1,551 participants, 31 were excluded because of missing baseline data for visual acuity. The remaining group comprised 52.2% men, the mean age was 65.6 years, and the median diabetes duration was 8.5 years (interquartile range, 2.9-15.8). At baseline, the prevalence of visual impairment was 1.8% (28 patients), and prevalence of blindness was 0.7% (11 patients), so those 39 patients were also excluded from further analysis.

After 4 years, 599 patients (39%) were excluded because of attrition or missing data; among them, 138 (23%) died before the follow-up.

The remaining 882 participants (58%) had their visual acuity measured. Among these patients, 62.2% were men, with a mean age of 65.1 years and an initial median diabetes duration of 7 years (IQR, 2.0-15.0). Their cumulative incidence of visual impairment was 0.9% (eight patients), and no patients with normal or near-normal vision had developed blindness. Cumulative incidence of vision loss was 2.9% (26), and 1.9% (17) had improved visual acuity.

After multivariable logistic regression to determine predictors for vision loss, the researchers found that participants who smoked at baseline were more than three times more likely to lose their vision (odds ratio, 3.17; 95% confidence interval, 1.15-8.76; P = .026). Although smoking was noted as a “well-recognized risk factor for ocular disease,” the authors added that ex-smokers did not have significantly higher odds of vision loss, compared with nonsmokers, suggesting that the “ocular damage caused by smoking may not be permanent.”

Participants who had suffered a severe hypoglycemic event before the study were five times more likely to lose their vision (OR, 5.59; 95% CI, 1.32-23.61; P = .019). The authors emphasized that severe hypoglycemia can worsen existing ischemic tissue damage or contribute to a long duration of poorly controlled diabetes, each of which could “increase the risk of ocular complications leading to impaired vision.”

The final notable risk factor was compromised kidney function, which is identified as a urinary albumin-creatinine ratio (uACR). The authors noted that the uACR has been associated with other ocular pathologies, such as retinopathy and macular edema, and that uACR may be a “surrogate marker of a variety of ocular diseases with shared risk factors, such as poor metabolic control, which have implications for vision.”

In regard to the possible limitations of the study, they authors noted that they had not used the “gold standard” Early Treatment Diabetic Retinopathy Study chart to assess visual acuity. In addition, although they had details on retinopathy, cataracts, and glaucoma status, they did not also consider less common ophthalmic conditions. Finally, as a survivor cohort, they acknowledged that they may have “underestimated the cumulative incidence” of vision issues in the participants.

The study was supported by the National Health and Medical Research Council of Australia. The authors reported no conflicts of interest.

SOURCE: Drinkwater JJ et al. J Diabetes Complications. 2020 Feb 20. doi: 10.1016/j.jdiacomp.2020.107560.

Several risk factors, including smoking, a previous severe hypoglycemic event, and poorly functioning kidneys, can lead to vision loss in patients with type 2 diabetes, according to new findings published in the Journal of Diabetes and its Complications.

“Smoking cessation strategies and optimal cardiometabolic risk factor management, including blood glucose lowering regimens that minimize hypoglycemia, appear important in preventing the loss of vision associated with type 2 diabetes,” wrote Jocelyn J. Drinkwater of the University of Western Australia, Perth, and coauthors, noting that all three noted risk factors were “potentially modifiable.”

To investigate the impact of type 2 diabetes and associated risk factors on vision, the researchers recruited 1,732 participants for the Fremantle Diabetes Study Phase II, of whom 1,551 patients had type 2 diabetes and underwent face-to-face and visual acuity assessments at baseline and at 2 and 4 years. Visual acuity was measured via the Bailey Lovie chart at a distance of 3 m in a well-lit room. Normal or near-normal vision was classified as a visual acuity of equal to or less than 6/19; visual impairment, a visual acuity of greater than 6/19 and equal to or less than 6/48; and blindness, a visual acuity of greater than 6/48. A change in vision was classified as a difference in visual acuity of more than 10 letters from baseline measurement.

Of the initial 1,551 participants, 31 were excluded because of missing baseline data for visual acuity. The remaining group comprised 52.2% men, the mean age was 65.6 years, and the median diabetes duration was 8.5 years (interquartile range, 2.9-15.8). At baseline, the prevalence of visual impairment was 1.8% (28 patients), and prevalence of blindness was 0.7% (11 patients), so those 39 patients were also excluded from further analysis.

After 4 years, 599 patients (39%) were excluded because of attrition or missing data; among them, 138 (23%) died before the follow-up.

The remaining 882 participants (58%) had their visual acuity measured. Among these patients, 62.2% were men, with a mean age of 65.1 years and an initial median diabetes duration of 7 years (IQR, 2.0-15.0). Their cumulative incidence of visual impairment was 0.9% (eight patients), and no patients with normal or near-normal vision had developed blindness. Cumulative incidence of vision loss was 2.9% (26), and 1.9% (17) had improved visual acuity.

After multivariable logistic regression to determine predictors for vision loss, the researchers found that participants who smoked at baseline were more than three times more likely to lose their vision (odds ratio, 3.17; 95% confidence interval, 1.15-8.76; P = .026). Although smoking was noted as a “well-recognized risk factor for ocular disease,” the authors added that ex-smokers did not have significantly higher odds of vision loss, compared with nonsmokers, suggesting that the “ocular damage caused by smoking may not be permanent.”

Participants who had suffered a severe hypoglycemic event before the study were five times more likely to lose their vision (OR, 5.59; 95% CI, 1.32-23.61; P = .019). The authors emphasized that severe hypoglycemia can worsen existing ischemic tissue damage or contribute to a long duration of poorly controlled diabetes, each of which could “increase the risk of ocular complications leading to impaired vision.”

The final notable risk factor was compromised kidney function, which is identified as a urinary albumin-creatinine ratio (uACR). The authors noted that the uACR has been associated with other ocular pathologies, such as retinopathy and macular edema, and that uACR may be a “surrogate marker of a variety of ocular diseases with shared risk factors, such as poor metabolic control, which have implications for vision.”

In regard to the possible limitations of the study, they authors noted that they had not used the “gold standard” Early Treatment Diabetic Retinopathy Study chart to assess visual acuity. In addition, although they had details on retinopathy, cataracts, and glaucoma status, they did not also consider less common ophthalmic conditions. Finally, as a survivor cohort, they acknowledged that they may have “underestimated the cumulative incidence” of vision issues in the participants.

The study was supported by the National Health and Medical Research Council of Australia. The authors reported no conflicts of interest.

SOURCE: Drinkwater JJ et al. J Diabetes Complications. 2020 Feb 20. doi: 10.1016/j.jdiacomp.2020.107560.