Diabetes

More than 34 million adults in the US have type 2 diabetes mellitus (T2DM), a chronic progressive disease identified by worsening hyperglycemia and micro- and macrovascular complications.¹ Consequently, 12.2% of the US adult population is currently at risk for macrovascular diseases, such as stroke and coronary artery disease (CAD) and microvascular diseases, such as neuropathy and diabetic nephropathy.¹

T2DM is the most common comorbid risk factor for chronic kidney disease (CKD) and the leading cause of end-stage renal disease (ESRD). As of 2017, about 750,000 Americans have CKD stage 5 requiring dialysis, and 50% of these patients have preexisting diabetic nephropathy.² Rates of mortality and morbidity are observed to be higher in patients with both CKD and T2DM compared with patients with CKD without T2DM.² Previous clinical trials, including the United Kingdom Prospective Diabetes Study of 1998, have proven that optimal glycemic control decreases the risk of complications of T2DM (ie, nephropathy) in the general population.³ Conversely, tight glycemic control that targets hemoglobin A_1c (HbA_1c) < 7%, in patients with T2DM with ESRD has not shown the same benefits and may lead to worse outcomes. It is postulated that this may be due to the increased incidence of hypoglycemia in this patient population.⁴

Dialysis has varying effects on patients both with and without T2DM. While patients with ESRD without T2DM have the potential to develop impaired glucose tolerance and T2DM, about 33% of patients with T2DM on dialysis actually have HbA_1c < 6%.⁵ In these patients, glycemic control improves spontaneously as their disease progresses, leading to a decrease or cessation of insulin or other antidiabetic medications. This phenomenon, known as burnt-out diabetes, is characterized by (1) alterations in glucose homeostasis and normoglycemia without antidiabetic treatment; (2) HbA_1c levels < 6% despite having established T2DM; (3) decline in insulin requirements or cessation of insulin altogether; and (4) spontaneous hypoglycemia.

There is a misconception that burnt-out diabetes is a favorable condition due to the alteration of the natural course of T2DM. Although this may be true, patients with this condition are prone to develop hypoglycemic episodes and may be linked to poor survival outcomes due to low HbA_1c.^6,7

Since Kalantar-Zadeh and colleagues presented a 2009 case study, there has been a lack of research regarding this unique condition.⁸ The purpose of this case study is to shed further light on burnt-out diabetes and present a patient case pertaining to the challenges of glycemic control in ESRD.

Case Presentation

Mr. A is a 49-year-old Hispanic male veteran with a history of ESRD on hemodialysis (HD) for 6 years, anemia of CKD, and T2DM for 22 years. The patient also has an extensive cardiovascular disease history, including hypertension, hyperlipidemia, and CAD status post-4-vessel coronary artery bypass graft in December 2014. The patient receives in-home HD Monday, Wednesday, and Friday and is on the wait list for kidney transplantation. The patient’s T2DM is managed by a primary care clinical pharmacy specialist (CPS) at the Michael E. DeBakey Veteran Affairs Medical Center (MEDVAMC) in Houston, Texas.

Mr. A’s antidiabetic regimen is 45 units of subcutaneous insulin glargine every morning; insulin aspart sliding scale (about 15-27 units) subcutaneous 3 times daily with meals; and saxagliptin 2.5 mg by mouth once daily.

At a follow-up visit with the CPS, Mr. A stated, “I feel fine except for the occasional low blood sugar episode.” The patient’s most recent HbA_1c was 6.1%, and he reported medication adherence and no signs or symptoms of hyperglycemia (ie, polydipsia, polyphagia, nocturia, visual disturbances). Mr. A reported no use of alcohol, tobacco, or illicit drugs. He walks 1 mile every other day and participates in self-monitoring blood glucose (SMBG) about 2 to 3 times daily (Table 1).

Analysis

Few articles on potential contributors to burnt-out diabetes have been published.^6,7 These articles discuss decreased renal and hepatic clearance of insulin (which increases its half-life) hypoglycemia during HD, and low HbA_1c due to preexisting anemia. Inappropriately low HbA_1c levels may be secondary to, but not limited to, hemolysis, recent blood transfusion, acute blood loss, and medications, such as erythropoietin-stimulating agents (ESAs).⁹ The conditions that affect red blood cell turnover are common in patients with advanced CKD and may result in discrepancies in HbA_1c levels.

Glycated hemoglobin is a series of minor hemoglobin components formed by the adduction of various carbohydrate molecules to hemoglobin. HbA_1c is the largest fraction formed and the most consistent index of the concentration of glucose in the blood.¹⁰ Hence, HbA_1c is the traditional indicator of overall glycemic control. The current HbA_1c goals recommended by the American Diabetes Association are derived from landmark trials conducted with patients in the general adult diabetic non-CKD population. However, hemoglobin measurements can be confounded by conditions present in ESRD and tend to underestimate glucose measurements in patients with T2DM on HD. Despite this, HbA_1c is still regarded as a reasonable measure of glycemic control even in patients with ESRD; however, alternative markers of glycemia may be preferable.¹¹

Although HbA_1c is the gold standard, there are other laboratory measures of average glycemic control available. Fructosamine is a ketoamine formed when glucose binds to serum proteins. When these proteins are exposed to high concentrations of glucose, they experience increased glycation. Fructosamine assays measure the total glycated serum proteins, of which albumin accounts for about 90%.¹¹ Because the half-life of serum proteins is about 20 days, fructosamine levels can reflect glycemic control over a 2- to 3-week period. This is advantageous in conditions that affect the average age of red blood cells, in pregnancy where frequent monitoring and measures of short-term glucose control are especially important, and in the evaluation of a medication adjustment in the management of T2DM. However, this test is not without its limitations. It is less reliable in settings of decreased protein levels (eg, liver disease), there is a lack of availability in routine practice, and reference levels have not been established.¹¹

Hypoglycemic Episodes

At the 2-month follow-up visit with the CPS, Mr. A reported having 5 hypoglycemic episodes in the past 30 days. He also stated he would forget to take his insulin aspart dose before dinner about 3 to 4 times a week but would take it 30 to 60 minutes after the meal. Mr. A did not bring his glucometer or SMBG readings to the visit, but he indicated that his blood glucose levels continued to fluctuate and were elevated when consuming carbohydrates.

Laboratory tests 1 month prior to the 2-month follow-up visit showed HbA_1c of 7.3%, which had increased from his previous level of 6.1%. He was counseled on the proper administration of insulin aspart and lifestyle modifications. A fructosamine level was ordered at this visit to further assess his glycemic control. A follow-up appointment and laboratory workup (fructosamine and HbA_1c) were scheduled for 2 months from the visit (Table 3).

Mr. A was educated on the unreliability of his HbA_1c levels secondary to his condition of ESRD on HD. He was counseled on the purpose of fructosamine and how it may be a better predictor of his glycemic control and morbidity. Mr. A continued to be followed closely by the primary care CPS for T2DM management.

Discussion

Management of T2DM in patients with ESRD presents challenges for clinicians in determining HbA_1c goals and selecting appropriate medication options. The 2012 Kidney Disease Outcomes Quality Initiative (KDOQI) diabetes guideline does not recommend treatment for patients with substantially reduced kidney function to a target HbA_1c < 7% due to risk of hypoglycemia.¹³ Although a target HbA_1c > 7% is suggested for these patients, little is known about appropriate glycemic control in these patients as there is a paucity of prospective, randomized clinical trials that include patients with advanced CKD.¹³

Moreover, many oral antidiabetic medications and their metabolites are cleared by the kidneys and, therefore, pose with potential harm for patients with CKD. Because of this, insulin is the medication of choice for patients with ESRD.⁷ Although insulin requirements may diminish with worsening kidney function, insulin provides the safest method of glycemic control. Insulin dosing can be individualized according to a patient’s renal status as there is no uniformity in renal dose adjustments. There are some noninsulin antidiabetic agents that can be used in ESRD, but use of these agents requires close monitoring and evaluation of the medication’s pharmacokinetics (Table 4). Overall, medication management can be a difficult task for patients with T2DM and ESRD, but antidiabetic regimens may be reduced or discontinued altogether in burnt-out diabetes.

Conclusions

Patients with T2DM and ESRD on dialysis may have higher morbidity and mortality rates than the rates of those without T2DM. It has been shown in various studies that very low HbA_1c (< 5%) and high HbA_1c (> 8%) are associated with poor survival. Some patients with T2DM on dialysis may experience burnt-out diabetes in which they may have normoglycemia and a HbA_1c below goal; despite these facts, this condition is not positive and can be linked to bad outcomes. In patients with T2DM and ESRD, insulin is the antidiabetic medication of choice, and we recommend a HbA_1c target of 6 to 8%. In this patient population, consider using fructosamine levels or other measures of glycemic control to supplement HbA_1c and glucose values to provide a better assessment of glycemic control, morbidity, and mortality. Larger clinical trials are needed to assist in answering questions regarding mortality and optimal HbA_1c targets in burnt-out diabetes.

More than 34 million adults in the US have type 2 diabetes mellitus (T2DM), a chronic progressive disease identified by worsening hyperglycemia and micro- and macrovascular complications.¹ Consequently, 12.2% of the US adult population is currently at risk for macrovascular diseases, such as stroke and coronary artery disease (CAD) and microvascular diseases, such as neuropathy and diabetic nephropathy.¹

T2DM is the most common comorbid risk factor for chronic kidney disease (CKD) and the leading cause of end-stage renal disease (ESRD). As of 2017, about 750,000 Americans have CKD stage 5 requiring dialysis, and 50% of these patients have preexisting diabetic nephropathy.² Rates of mortality and morbidity are observed to be higher in patients with both CKD and T2DM compared with patients with CKD without T2DM.² Previous clinical trials, including the United Kingdom Prospective Diabetes Study of 1998, have proven that optimal glycemic control decreases the risk of complications of T2DM (ie, nephropathy) in the general population.³ Conversely, tight glycemic control that targets hemoglobin A_1c (HbA_1c) < 7%, in patients with T2DM with ESRD has not shown the same benefits and may lead to worse outcomes. It is postulated that this may be due to the increased incidence of hypoglycemia in this patient population.⁴

Dialysis has varying effects on patients both with and without T2DM. While patients with ESRD without T2DM have the potential to develop impaired glucose tolerance and T2DM, about 33% of patients with T2DM on dialysis actually have HbA_1c < 6%.⁵ In these patients, glycemic control improves spontaneously as their disease progresses, leading to a decrease or cessation of insulin or other antidiabetic medications. This phenomenon, known as burnt-out diabetes, is characterized by (1) alterations in glucose homeostasis and normoglycemia without antidiabetic treatment; (2) HbA_1c levels < 6% despite having established T2DM; (3) decline in insulin requirements or cessation of insulin altogether; and (4) spontaneous hypoglycemia.

There is a misconception that burnt-out diabetes is a favorable condition due to the alteration of the natural course of T2DM. Although this may be true, patients with this condition are prone to develop hypoglycemic episodes and may be linked to poor survival outcomes due to low HbA_1c.^6,7

Since Kalantar-Zadeh and colleagues presented a 2009 case study, there has been a lack of research regarding this unique condition.⁸ The purpose of this case study is to shed further light on burnt-out diabetes and present a patient case pertaining to the challenges of glycemic control in ESRD.

Case Presentation

Mr. A is a 49-year-old Hispanic male veteran with a history of ESRD on hemodialysis (HD) for 6 years, anemia of CKD, and T2DM for 22 years. The patient also has an extensive cardiovascular disease history, including hypertension, hyperlipidemia, and CAD status post-4-vessel coronary artery bypass graft in December 2014. The patient receives in-home HD Monday, Wednesday, and Friday and is on the wait list for kidney transplantation. The patient’s T2DM is managed by a primary care clinical pharmacy specialist (CPS) at the Michael E. DeBakey Veteran Affairs Medical Center (MEDVAMC) in Houston, Texas.

Mr. A’s antidiabetic regimen is 45 units of subcutaneous insulin glargine every morning; insulin aspart sliding scale (about 15-27 units) subcutaneous 3 times daily with meals; and saxagliptin 2.5 mg by mouth once daily.

At a follow-up visit with the CPS, Mr. A stated, “I feel fine except for the occasional low blood sugar episode.” The patient’s most recent HbA_1c was 6.1%, and he reported medication adherence and no signs or symptoms of hyperglycemia (ie, polydipsia, polyphagia, nocturia, visual disturbances). Mr. A reported no use of alcohol, tobacco, or illicit drugs. He walks 1 mile every other day and participates in self-monitoring blood glucose (SMBG) about 2 to 3 times daily (Table 1).

Analysis

Few articles on potential contributors to burnt-out diabetes have been published.^6,7 These articles discuss decreased renal and hepatic clearance of insulin (which increases its half-life) hypoglycemia during HD, and low HbA_1c due to preexisting anemia. Inappropriately low HbA_1c levels may be secondary to, but not limited to, hemolysis, recent blood transfusion, acute blood loss, and medications, such as erythropoietin-stimulating agents (ESAs).⁹ The conditions that affect red blood cell turnover are common in patients with advanced CKD and may result in discrepancies in HbA_1c levels.

Glycated hemoglobin is a series of minor hemoglobin components formed by the adduction of various carbohydrate molecules to hemoglobin. HbA_1c is the largest fraction formed and the most consistent index of the concentration of glucose in the blood.¹⁰ Hence, HbA_1c is the traditional indicator of overall glycemic control. The current HbA_1c goals recommended by the American Diabetes Association are derived from landmark trials conducted with patients in the general adult diabetic non-CKD population. However, hemoglobin measurements can be confounded by conditions present in ESRD and tend to underestimate glucose measurements in patients with T2DM on HD. Despite this, HbA_1c is still regarded as a reasonable measure of glycemic control even in patients with ESRD; however, alternative markers of glycemia may be preferable.¹¹

Although HbA_1c is the gold standard, there are other laboratory measures of average glycemic control available. Fructosamine is a ketoamine formed when glucose binds to serum proteins. When these proteins are exposed to high concentrations of glucose, they experience increased glycation. Fructosamine assays measure the total glycated serum proteins, of which albumin accounts for about 90%.¹¹ Because the half-life of serum proteins is about 20 days, fructosamine levels can reflect glycemic control over a 2- to 3-week period. This is advantageous in conditions that affect the average age of red blood cells, in pregnancy where frequent monitoring and measures of short-term glucose control are especially important, and in the evaluation of a medication adjustment in the management of T2DM. However, this test is not without its limitations. It is less reliable in settings of decreased protein levels (eg, liver disease), there is a lack of availability in routine practice, and reference levels have not been established.¹¹

Hypoglycemic Episodes

At the 2-month follow-up visit with the CPS, Mr. A reported having 5 hypoglycemic episodes in the past 30 days. He also stated he would forget to take his insulin aspart dose before dinner about 3 to 4 times a week but would take it 30 to 60 minutes after the meal. Mr. A did not bring his glucometer or SMBG readings to the visit, but he indicated that his blood glucose levels continued to fluctuate and were elevated when consuming carbohydrates.

Laboratory tests 1 month prior to the 2-month follow-up visit showed HbA_1c of 7.3%, which had increased from his previous level of 6.1%. He was counseled on the proper administration of insulin aspart and lifestyle modifications. A fructosamine level was ordered at this visit to further assess his glycemic control. A follow-up appointment and laboratory workup (fructosamine and HbA_1c) were scheduled for 2 months from the visit (Table 3).

Mr. A was educated on the unreliability of his HbA_1c levels secondary to his condition of ESRD on HD. He was counseled on the purpose of fructosamine and how it may be a better predictor of his glycemic control and morbidity. Mr. A continued to be followed closely by the primary care CPS for T2DM management.

Discussion

Management of T2DM in patients with ESRD presents challenges for clinicians in determining HbA_1c goals and selecting appropriate medication options. The 2012 Kidney Disease Outcomes Quality Initiative (KDOQI) diabetes guideline does not recommend treatment for patients with substantially reduced kidney function to a target HbA_1c < 7% due to risk of hypoglycemia.¹³ Although a target HbA_1c > 7% is suggested for these patients, little is known about appropriate glycemic control in these patients as there is a paucity of prospective, randomized clinical trials that include patients with advanced CKD.¹³

Moreover, many oral antidiabetic medications and their metabolites are cleared by the kidneys and, therefore, pose with potential harm for patients with CKD. Because of this, insulin is the medication of choice for patients with ESRD.⁷ Although insulin requirements may diminish with worsening kidney function, insulin provides the safest method of glycemic control. Insulin dosing can be individualized according to a patient’s renal status as there is no uniformity in renal dose adjustments. There are some noninsulin antidiabetic agents that can be used in ESRD, but use of these agents requires close monitoring and evaluation of the medication’s pharmacokinetics (Table 4). Overall, medication management can be a difficult task for patients with T2DM and ESRD, but antidiabetic regimens may be reduced or discontinued altogether in burnt-out diabetes.

Conclusions

Patients with T2DM and ESRD on dialysis may have higher morbidity and mortality rates than the rates of those without T2DM. It has been shown in various studies that very low HbA_1c (< 5%) and high HbA_1c (> 8%) are associated with poor survival. Some patients with T2DM on dialysis may experience burnt-out diabetes in which they may have normoglycemia and a HbA_1c below goal; despite these facts, this condition is not positive and can be linked to bad outcomes. In patients with T2DM and ESRD, insulin is the antidiabetic medication of choice, and we recommend a HbA_1c target of 6 to 8%. In this patient population, consider using fructosamine levels or other measures of glycemic control to supplement HbA_1c and glucose values to provide a better assessment of glycemic control, morbidity, and mortality. Larger clinical trials are needed to assist in answering questions regarding mortality and optimal HbA_1c targets in burnt-out diabetes.

More than 34 million adults in the US have type 2 diabetes mellitus (T2DM), a chronic progressive disease identified by worsening hyperglycemia and micro- and macrovascular complications.¹ Consequently, 12.2% of the US adult population is currently at risk for macrovascular diseases, such as stroke and coronary artery disease (CAD) and microvascular diseases, such as neuropathy and diabetic nephropathy.¹

T2DM is the most common comorbid risk factor for chronic kidney disease (CKD) and the leading cause of end-stage renal disease (ESRD). As of 2017, about 750,000 Americans have CKD stage 5 requiring dialysis, and 50% of these patients have preexisting diabetic nephropathy.² Rates of mortality and morbidity are observed to be higher in patients with both CKD and T2DM compared with patients with CKD without T2DM.² Previous clinical trials, including the United Kingdom Prospective Diabetes Study of 1998, have proven that optimal glycemic control decreases the risk of complications of T2DM (ie, nephropathy) in the general population.³ Conversely, tight glycemic control that targets hemoglobin A_1c (HbA_1c) < 7%, in patients with T2DM with ESRD has not shown the same benefits and may lead to worse outcomes. It is postulated that this may be due to the increased incidence of hypoglycemia in this patient population.⁴

Dialysis has varying effects on patients both with and without T2DM. While patients with ESRD without T2DM have the potential to develop impaired glucose tolerance and T2DM, about 33% of patients with T2DM on dialysis actually have HbA_1c < 6%.⁵ In these patients, glycemic control improves spontaneously as their disease progresses, leading to a decrease or cessation of insulin or other antidiabetic medications. This phenomenon, known as burnt-out diabetes, is characterized by (1) alterations in glucose homeostasis and normoglycemia without antidiabetic treatment; (2) HbA_1c levels < 6% despite having established T2DM; (3) decline in insulin requirements or cessation of insulin altogether; and (4) spontaneous hypoglycemia.

There is a misconception that burnt-out diabetes is a favorable condition due to the alteration of the natural course of T2DM. Although this may be true, patients with this condition are prone to develop hypoglycemic episodes and may be linked to poor survival outcomes due to low HbA_1c.^6,7

Since Kalantar-Zadeh and colleagues presented a 2009 case study, there has been a lack of research regarding this unique condition.⁸ The purpose of this case study is to shed further light on burnt-out diabetes and present a patient case pertaining to the challenges of glycemic control in ESRD.

Case Presentation

Mr. A is a 49-year-old Hispanic male veteran with a history of ESRD on hemodialysis (HD) for 6 years, anemia of CKD, and T2DM for 22 years. The patient also has an extensive cardiovascular disease history, including hypertension, hyperlipidemia, and CAD status post-4-vessel coronary artery bypass graft in December 2014. The patient receives in-home HD Monday, Wednesday, and Friday and is on the wait list for kidney transplantation. The patient’s T2DM is managed by a primary care clinical pharmacy specialist (CPS) at the Michael E. DeBakey Veteran Affairs Medical Center (MEDVAMC) in Houston, Texas.

Mr. A’s antidiabetic regimen is 45 units of subcutaneous insulin glargine every morning; insulin aspart sliding scale (about 15-27 units) subcutaneous 3 times daily with meals; and saxagliptin 2.5 mg by mouth once daily.

At a follow-up visit with the CPS, Mr. A stated, “I feel fine except for the occasional low blood sugar episode.” The patient’s most recent HbA_1c was 6.1%, and he reported medication adherence and no signs or symptoms of hyperglycemia (ie, polydipsia, polyphagia, nocturia, visual disturbances). Mr. A reported no use of alcohol, tobacco, or illicit drugs. He walks 1 mile every other day and participates in self-monitoring blood glucose (SMBG) about 2 to 3 times daily (Table 1).

Analysis

Few articles on potential contributors to burnt-out diabetes have been published.^6,7 These articles discuss decreased renal and hepatic clearance of insulin (which increases its half-life) hypoglycemia during HD, and low HbA_1c due to preexisting anemia. Inappropriately low HbA_1c levels may be secondary to, but not limited to, hemolysis, recent blood transfusion, acute blood loss, and medications, such as erythropoietin-stimulating agents (ESAs).⁹ The conditions that affect red blood cell turnover are common in patients with advanced CKD and may result in discrepancies in HbA_1c levels.

Glycated hemoglobin is a series of minor hemoglobin components formed by the adduction of various carbohydrate molecules to hemoglobin. HbA_1c is the largest fraction formed and the most consistent index of the concentration of glucose in the blood.¹⁰ Hence, HbA_1c is the traditional indicator of overall glycemic control. The current HbA_1c goals recommended by the American Diabetes Association are derived from landmark trials conducted with patients in the general adult diabetic non-CKD population. However, hemoglobin measurements can be confounded by conditions present in ESRD and tend to underestimate glucose measurements in patients with T2DM on HD. Despite this, HbA_1c is still regarded as a reasonable measure of glycemic control even in patients with ESRD; however, alternative markers of glycemia may be preferable.¹¹

Although HbA_1c is the gold standard, there are other laboratory measures of average glycemic control available. Fructosamine is a ketoamine formed when glucose binds to serum proteins. When these proteins are exposed to high concentrations of glucose, they experience increased glycation. Fructosamine assays measure the total glycated serum proteins, of which albumin accounts for about 90%.¹¹ Because the half-life of serum proteins is about 20 days, fructosamine levels can reflect glycemic control over a 2- to 3-week period. This is advantageous in conditions that affect the average age of red blood cells, in pregnancy where frequent monitoring and measures of short-term glucose control are especially important, and in the evaluation of a medication adjustment in the management of T2DM. However, this test is not without its limitations. It is less reliable in settings of decreased protein levels (eg, liver disease), there is a lack of availability in routine practice, and reference levels have not been established.¹¹

Hypoglycemic Episodes

At the 2-month follow-up visit with the CPS, Mr. A reported having 5 hypoglycemic episodes in the past 30 days. He also stated he would forget to take his insulin aspart dose before dinner about 3 to 4 times a week but would take it 30 to 60 minutes after the meal. Mr. A did not bring his glucometer or SMBG readings to the visit, but he indicated that his blood glucose levels continued to fluctuate and were elevated when consuming carbohydrates.

Laboratory tests 1 month prior to the 2-month follow-up visit showed HbA_1c of 7.3%, which had increased from his previous level of 6.1%. He was counseled on the proper administration of insulin aspart and lifestyle modifications. A fructosamine level was ordered at this visit to further assess his glycemic control. A follow-up appointment and laboratory workup (fructosamine and HbA_1c) were scheduled for 2 months from the visit (Table 3).

Mr. A was educated on the unreliability of his HbA_1c levels secondary to his condition of ESRD on HD. He was counseled on the purpose of fructosamine and how it may be a better predictor of his glycemic control and morbidity. Mr. A continued to be followed closely by the primary care CPS for T2DM management.

Discussion

Management of T2DM in patients with ESRD presents challenges for clinicians in determining HbA_1c goals and selecting appropriate medication options. The 2012 Kidney Disease Outcomes Quality Initiative (KDOQI) diabetes guideline does not recommend treatment for patients with substantially reduced kidney function to a target HbA_1c < 7% due to risk of hypoglycemia.¹³ Although a target HbA_1c > 7% is suggested for these patients, little is known about appropriate glycemic control in these patients as there is a paucity of prospective, randomized clinical trials that include patients with advanced CKD.¹³

Moreover, many oral antidiabetic medications and their metabolites are cleared by the kidneys and, therefore, pose with potential harm for patients with CKD. Because of this, insulin is the medication of choice for patients with ESRD.⁷ Although insulin requirements may diminish with worsening kidney function, insulin provides the safest method of glycemic control. Insulin dosing can be individualized according to a patient’s renal status as there is no uniformity in renal dose adjustments. There are some noninsulin antidiabetic agents that can be used in ESRD, but use of these agents requires close monitoring and evaluation of the medication’s pharmacokinetics (Table 4). Overall, medication management can be a difficult task for patients with T2DM and ESRD, but antidiabetic regimens may be reduced or discontinued altogether in burnt-out diabetes.

Conclusions

Patients with T2DM and ESRD on dialysis may have higher morbidity and mortality rates than the rates of those without T2DM. It has been shown in various studies that very low HbA_1c (< 5%) and high HbA_1c (> 8%) are associated with poor survival. Some patients with T2DM on dialysis may experience burnt-out diabetes in which they may have normoglycemia and a HbA_1c below goal; despite these facts, this condition is not positive and can be linked to bad outcomes. In patients with T2DM and ESRD, insulin is the antidiabetic medication of choice, and we recommend a HbA_1c target of 6 to 8%. In this patient population, consider using fructosamine levels or other measures of glycemic control to supplement HbA_1c and glucose values to provide a better assessment of glycemic control, morbidity, and mortality. Larger clinical trials are needed to assist in answering questions regarding mortality and optimal HbA_1c targets in burnt-out diabetes.

Every Wednesday evening after supper, I record in a marble notebook some anthropomorphic measurements: my weight taken first thing Monday morning and my waist circumference. I also add how I did with exercise since the previous week’s entry and some comments about sleep, energy, and nutrition.

My personal log now comprises dozens of pages. To my surprise, the first entry was 5 years ago to the month. The earlier entries were far from weekly and contained a lot of narrative on how my food-restriction scheme that month was being violated.

Looking just at the numbers, I did about as well as a control group participant in any medical study of diet modification. Until just a few months ago, there was no trend in either weight or waist circumference over those 5 years, including 2 years of retirement. But it wasn’t for lack of trying. Keeping the journal for as long as I have – and recently, as consistently as I have – suggests serious intent but inadequate execution of the same principles I offered patients, who rarely did much better. But recent studies suggest that perhaps quite a few could.
 

Are we underestimating our patients’ potential?

A recent abstract from the European and International Congress on Obesity suggests that the impressions clinicians get from our office encounters may leave us underestimating the potential for our patients to lose enough weight to move them from one level of risk to another.

Using a national database of primary care visits, the investigators isolated about 550,000 records. Of these, about 60,000 (11%) had records showing weight reductions of 10%-25% (mean, 13%) over at least 4 years. Weight loss was by intent rather than from illness. The remaining individuals maintained their weight within 5% of the first measurement for the duration of the study.

Participants with stable body weight were compared with the successful weight reducers. This analysis showed that the risk for type 2 diabetes, osteoarthritis, sleep apnea, hypertension, and dyslipidemia all measurably declined in weight reducers. This held true whether the patient’s baseline body mass index (BMI) showed modest or severe obesity. Patients with the highest BMI at enrollment actually reduced their risks for hypertension and dyslipidemia below population norms.

This study raises tantalizing, as yet unanswered questions: How did the successful 11% achieve their weight loss goals? Was it via a weight loss program, bariatric surgery, dietitian consult, or with no external assistance?

And of great significance to clinicians: What happened to the people who achieved 5%-10% weight reduction, as that is a more typical outcome of diabetes prevention trials or studies of weight-loss medications? Were they excluded from the study because they did not lose enough weight to achieve the unequivocal health benefit?

Because the data came from an enormous database, the weight management strategies leading to success or failure – what we really need to know to nudge our own patients into the favorable categories – remain hidden.
 

The Advantage of Intensive Interventions

Some answers emerged from a recently reported study in the New England Journal of Medicine comparing supervised diet and lifestyle adjustments (treatment group) with the less intense oversight typically offered by primary care clinicians (usual-care group).

The treatment group not only received the intensive lifestyle intervention, which focused on reduced caloric intake and increased physical activity, but also participated in mandated training sessions on how to best use the resources provided by the study. Much of the care was delegated by physicians to “coaches” who focused on nutrition, exercise, and behavioral health, including supermarket strategy.

Nearly a quarter of the participants in the intensive intervention group achieved the 10% weight reduction needed to change health risk in a meaningful way. A similar proportion lost less than 10% of their body weight, and about half did not have a notable weight change. Peak weight loss at 6 months averaged 17 lb, and 9.6 lb at 2 years. While this may not seem very impressive considering the extensive resources utilized, there were those who experienced an extraordinary health upgrade not otherwise available, short of bariatric surgery.
 

What does this mean for us?

Both studies indicate that, even under the best-controlled, resource-replete circumstances, the rate of failure to achieve desired progress is very high. But there is a success rate.

The likelihood of success is difficult to interpret from the European data, as it compared only those with major weight loss and those with weight stability, excluding patients with less robust loss or weight gain. The controlled study, however, holds forth an alluring opportunity benefiting a quarter of the targeted participants and even about 5% of the controls who realized that they were being observed.

We also learn that supervision requires a lot more than having a well-meaning but not very well-trained physician ask a patient to log measurements and food intake. Health coaches seem to make the impact.

Failure rates of 50% have a way of dampening enthusiasm, but it may be best to approach the scourge of obesity by offering treatment to everyone with the expectation that not all will experience greatly enhanced quality of life and longevity. Not everyone will benefit, but these two studies confirm that we do have an underutilized capacity to help more people benefit than we currently do.

Richard M. Plotzker, MD, is a retired endocrinologist with 40 years of experience treating patients in both the private practice and hospital settings. He has been a Medscape contributor since 2012.

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

Every Wednesday evening after supper, I record in a marble notebook some anthropomorphic measurements: my weight taken first thing Monday morning and my waist circumference. I also add how I did with exercise since the previous week’s entry and some comments about sleep, energy, and nutrition.

My personal log now comprises dozens of pages. To my surprise, the first entry was 5 years ago to the month. The earlier entries were far from weekly and contained a lot of narrative on how my food-restriction scheme that month was being violated.

Looking just at the numbers, I did about as well as a control group participant in any medical study of diet modification. Until just a few months ago, there was no trend in either weight or waist circumference over those 5 years, including 2 years of retirement. But it wasn’t for lack of trying. Keeping the journal for as long as I have – and recently, as consistently as I have – suggests serious intent but inadequate execution of the same principles I offered patients, who rarely did much better. But recent studies suggest that perhaps quite a few could.
 

Are we underestimating our patients’ potential?

A recent abstract from the European and International Congress on Obesity suggests that the impressions clinicians get from our office encounters may leave us underestimating the potential for our patients to lose enough weight to move them from one level of risk to another.

Using a national database of primary care visits, the investigators isolated about 550,000 records. Of these, about 60,000 (11%) had records showing weight reductions of 10%-25% (mean, 13%) over at least 4 years. Weight loss was by intent rather than from illness. The remaining individuals maintained their weight within 5% of the first measurement for the duration of the study.

Participants with stable body weight were compared with the successful weight reducers. This analysis showed that the risk for type 2 diabetes, osteoarthritis, sleep apnea, hypertension, and dyslipidemia all measurably declined in weight reducers. This held true whether the patient’s baseline body mass index (BMI) showed modest or severe obesity. Patients with the highest BMI at enrollment actually reduced their risks for hypertension and dyslipidemia below population norms.

This study raises tantalizing, as yet unanswered questions: How did the successful 11% achieve their weight loss goals? Was it via a weight loss program, bariatric surgery, dietitian consult, or with no external assistance?

And of great significance to clinicians: What happened to the people who achieved 5%-10% weight reduction, as that is a more typical outcome of diabetes prevention trials or studies of weight-loss medications? Were they excluded from the study because they did not lose enough weight to achieve the unequivocal health benefit?

Because the data came from an enormous database, the weight management strategies leading to success or failure – what we really need to know to nudge our own patients into the favorable categories – remain hidden.
 

The Advantage of Intensive Interventions

Some answers emerged from a recently reported study in the New England Journal of Medicine comparing supervised diet and lifestyle adjustments (treatment group) with the less intense oversight typically offered by primary care clinicians (usual-care group).

The treatment group not only received the intensive lifestyle intervention, which focused on reduced caloric intake and increased physical activity, but also participated in mandated training sessions on how to best use the resources provided by the study. Much of the care was delegated by physicians to “coaches” who focused on nutrition, exercise, and behavioral health, including supermarket strategy.

Nearly a quarter of the participants in the intensive intervention group achieved the 10% weight reduction needed to change health risk in a meaningful way. A similar proportion lost less than 10% of their body weight, and about half did not have a notable weight change. Peak weight loss at 6 months averaged 17 lb, and 9.6 lb at 2 years. While this may not seem very impressive considering the extensive resources utilized, there were those who experienced an extraordinary health upgrade not otherwise available, short of bariatric surgery.
 

What does this mean for us?

Both studies indicate that, even under the best-controlled, resource-replete circumstances, the rate of failure to achieve desired progress is very high. But there is a success rate.

The likelihood of success is difficult to interpret from the European data, as it compared only those with major weight loss and those with weight stability, excluding patients with less robust loss or weight gain. The controlled study, however, holds forth an alluring opportunity benefiting a quarter of the targeted participants and even about 5% of the controls who realized that they were being observed.

We also learn that supervision requires a lot more than having a well-meaning but not very well-trained physician ask a patient to log measurements and food intake. Health coaches seem to make the impact.

Failure rates of 50% have a way of dampening enthusiasm, but it may be best to approach the scourge of obesity by offering treatment to everyone with the expectation that not all will experience greatly enhanced quality of life and longevity. Not everyone will benefit, but these two studies confirm that we do have an underutilized capacity to help more people benefit than we currently do.

Richard M. Plotzker, MD, is a retired endocrinologist with 40 years of experience treating patients in both the private practice and hospital settings. He has been a Medscape contributor since 2012.

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

Every Wednesday evening after supper, I record in a marble notebook some anthropomorphic measurements: my weight taken first thing Monday morning and my waist circumference. I also add how I did with exercise since the previous week’s entry and some comments about sleep, energy, and nutrition.

My personal log now comprises dozens of pages. To my surprise, the first entry was 5 years ago to the month. The earlier entries were far from weekly and contained a lot of narrative on how my food-restriction scheme that month was being violated.

Looking just at the numbers, I did about as well as a control group participant in any medical study of diet modification. Until just a few months ago, there was no trend in either weight or waist circumference over those 5 years, including 2 years of retirement. But it wasn’t for lack of trying. Keeping the journal for as long as I have – and recently, as consistently as I have – suggests serious intent but inadequate execution of the same principles I offered patients, who rarely did much better. But recent studies suggest that perhaps quite a few could.
 

Are we underestimating our patients’ potential?

A recent abstract from the European and International Congress on Obesity suggests that the impressions clinicians get from our office encounters may leave us underestimating the potential for our patients to lose enough weight to move them from one level of risk to another.

Using a national database of primary care visits, the investigators isolated about 550,000 records. Of these, about 60,000 (11%) had records showing weight reductions of 10%-25% (mean, 13%) over at least 4 years. Weight loss was by intent rather than from illness. The remaining individuals maintained their weight within 5% of the first measurement for the duration of the study.

Participants with stable body weight were compared with the successful weight reducers. This analysis showed that the risk for type 2 diabetes, osteoarthritis, sleep apnea, hypertension, and dyslipidemia all measurably declined in weight reducers. This held true whether the patient’s baseline body mass index (BMI) showed modest or severe obesity. Patients with the highest BMI at enrollment actually reduced their risks for hypertension and dyslipidemia below population norms.

This study raises tantalizing, as yet unanswered questions: How did the successful 11% achieve their weight loss goals? Was it via a weight loss program, bariatric surgery, dietitian consult, or with no external assistance?

And of great significance to clinicians: What happened to the people who achieved 5%-10% weight reduction, as that is a more typical outcome of diabetes prevention trials or studies of weight-loss medications? Were they excluded from the study because they did not lose enough weight to achieve the unequivocal health benefit?

Because the data came from an enormous database, the weight management strategies leading to success or failure – what we really need to know to nudge our own patients into the favorable categories – remain hidden.
 

The Advantage of Intensive Interventions

Some answers emerged from a recently reported study in the New England Journal of Medicine comparing supervised diet and lifestyle adjustments (treatment group) with the less intense oversight typically offered by primary care clinicians (usual-care group).

The treatment group not only received the intensive lifestyle intervention, which focused on reduced caloric intake and increased physical activity, but also participated in mandated training sessions on how to best use the resources provided by the study. Much of the care was delegated by physicians to “coaches” who focused on nutrition, exercise, and behavioral health, including supermarket strategy.

Nearly a quarter of the participants in the intensive intervention group achieved the 10% weight reduction needed to change health risk in a meaningful way. A similar proportion lost less than 10% of their body weight, and about half did not have a notable weight change. Peak weight loss at 6 months averaged 17 lb, and 9.6 lb at 2 years. While this may not seem very impressive considering the extensive resources utilized, there were those who experienced an extraordinary health upgrade not otherwise available, short of bariatric surgery.
 

What does this mean for us?

Both studies indicate that, even under the best-controlled, resource-replete circumstances, the rate of failure to achieve desired progress is very high. But there is a success rate.

The likelihood of success is difficult to interpret from the European data, as it compared only those with major weight loss and those with weight stability, excluding patients with less robust loss or weight gain. The controlled study, however, holds forth an alluring opportunity benefiting a quarter of the targeted participants and even about 5% of the controls who realized that they were being observed.

We also learn that supervision requires a lot more than having a well-meaning but not very well-trained physician ask a patient to log measurements and food intake. Health coaches seem to make the impact.

Failure rates of 50% have a way of dampening enthusiasm, but it may be best to approach the scourge of obesity by offering treatment to everyone with the expectation that not all will experience greatly enhanced quality of life and longevity. Not everyone will benefit, but these two studies confirm that we do have an underutilized capacity to help more people benefit than we currently do.

Richard M. Plotzker, MD, is a retired endocrinologist with 40 years of experience treating patients in both the private practice and hospital settings. He has been a Medscape contributor since 2012.

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

Risk of intubation for COVID-19 in very sick hospitalized patients was increased over fivefold in those with diabetic retinopathy, compared with those without, in a small single-center study from the United Kingdom.

Importantly, the risk of intubation was independent of conventional risk factors for poor COVID-19 outcomes.

“People with preexisting diabetes-related vascular damage, such as retinopathy, might be predisposed to a more severe form of COVID-19 requiring ventilation in the intensive therapy unit,” said lead investigator Janaka Karalliedde, MBBS, PhD.

Dr. Karalliedde and colleagues note that this is “the first description of diabetic retinopathy as a potential risk factor for poor COVID-19 outcomes.”

“For this reason, looking for the presence or history of retinopathy or other vascular complications of diabetes may help health care professionals identify patients at high risk of severe COVID-19,” added Dr. Karalliedde, of Guy’s and St Thomas’ NHS Foundation Trust, London.

The study was published online in Diabetes Research and Clinical Practice.
 

Preexisting diabetic retinopathy and COVID-19 outcomes

The prevalence of diabetic retinopathy is thought to be around 55% in people with type 1 diabetes and 30% in people with type 2 diabetes, on average.

Dr. Karalliedde is part of a research group at King’s College London that has been focused on how vascular disease may predispose to more severe COVID-19.

“COVID-19 affects the blood vessels all over the body,” he said, so they wondered whether having preexisting retinopathy “would predispose to a severe manifestation of COVID-19.”

The observational study included 187 patients with diabetes (179 patients with type 2 diabetes and 8 patients with type 1 diabetes) hospitalized with COVID-19 at Guy’s and St Thomas’ NHS Foundation Trust between March 12 and April 7 (the peak of the first wave of the pandemic in the United Kingdom).  

“It was an ethnically diverse population who were very sick and provides a clinical observation of real life,” Dr. Karalliedde said.

Nearly half of patients were African Caribbean (44%), 39% were White, and 17% were of other ethnicities, including 8% who were Asian. The mean age of the cohort was 68 years (range, 22-97 years), and 60% were men.

Diabetic retinopathy was reported in 67 (36%) patients, of whom 80% had background retinopathy and 20% had more advanced retinopathy.

They then looked at whether the presence of retinopathy was associated with a more severe manifestation of COVID-19 as defined by the need for tracheal intubation.

Of the 187 patients, 26% were intubated and 45% of these patients had diabetic retinopathy.

The analysis showed those with diabetic retinopathy had an over-fivefold increased risk for intubation (odds ratio, 5.81; 95% confidence interval, 1.37-24.66).

Of the entire cohort, 32% of patients died, although no association was observed between retinopathy and mortality.

“A greater number of diabetes patients with COVID-19 ended up on the intensive therapy unit. Upon multivariate analysis, we found retinopathy was independently associated with ending up on the intensive therapy unit,” stressed Dr. Karalliedde.

However, they noted that, “due to the cross-sectional design of our study, we cannot prove causality [between retinopathy and intubation]. Further studies are required to understand the mechanisms that explain the associations between retinopathy and other indices of microangiopathy with severe COVID-19.”

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

Risk of intubation for COVID-19 in very sick hospitalized patients was increased over fivefold in those with diabetic retinopathy, compared with those without, in a small single-center study from the United Kingdom.

Importantly, the risk of intubation was independent of conventional risk factors for poor COVID-19 outcomes.

“People with preexisting diabetes-related vascular damage, such as retinopathy, might be predisposed to a more severe form of COVID-19 requiring ventilation in the intensive therapy unit,” said lead investigator Janaka Karalliedde, MBBS, PhD.

Dr. Karalliedde and colleagues note that this is “the first description of diabetic retinopathy as a potential risk factor for poor COVID-19 outcomes.”

“For this reason, looking for the presence or history of retinopathy or other vascular complications of diabetes may help health care professionals identify patients at high risk of severe COVID-19,” added Dr. Karalliedde, of Guy’s and St Thomas’ NHS Foundation Trust, London.

The study was published online in Diabetes Research and Clinical Practice.
 

Preexisting diabetic retinopathy and COVID-19 outcomes

The prevalence of diabetic retinopathy is thought to be around 55% in people with type 1 diabetes and 30% in people with type 2 diabetes, on average.

Dr. Karalliedde is part of a research group at King’s College London that has been focused on how vascular disease may predispose to more severe COVID-19.

“COVID-19 affects the blood vessels all over the body,” he said, so they wondered whether having preexisting retinopathy “would predispose to a severe manifestation of COVID-19.”

The observational study included 187 patients with diabetes (179 patients with type 2 diabetes and 8 patients with type 1 diabetes) hospitalized with COVID-19 at Guy’s and St Thomas’ NHS Foundation Trust between March 12 and April 7 (the peak of the first wave of the pandemic in the United Kingdom).  

“It was an ethnically diverse population who were very sick and provides a clinical observation of real life,” Dr. Karalliedde said.

Nearly half of patients were African Caribbean (44%), 39% were White, and 17% were of other ethnicities, including 8% who were Asian. The mean age of the cohort was 68 years (range, 22-97 years), and 60% were men.

Diabetic retinopathy was reported in 67 (36%) patients, of whom 80% had background retinopathy and 20% had more advanced retinopathy.

They then looked at whether the presence of retinopathy was associated with a more severe manifestation of COVID-19 as defined by the need for tracheal intubation.

Of the 187 patients, 26% were intubated and 45% of these patients had diabetic retinopathy.

The analysis showed those with diabetic retinopathy had an over-fivefold increased risk for intubation (odds ratio, 5.81; 95% confidence interval, 1.37-24.66).

Of the entire cohort, 32% of patients died, although no association was observed between retinopathy and mortality.

“A greater number of diabetes patients with COVID-19 ended up on the intensive therapy unit. Upon multivariate analysis, we found retinopathy was independently associated with ending up on the intensive therapy unit,” stressed Dr. Karalliedde.

However, they noted that, “due to the cross-sectional design of our study, we cannot prove causality [between retinopathy and intubation]. Further studies are required to understand the mechanisms that explain the associations between retinopathy and other indices of microangiopathy with severe COVID-19.”

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

Risk of intubation for COVID-19 in very sick hospitalized patients was increased over fivefold in those with diabetic retinopathy, compared with those without, in a small single-center study from the United Kingdom.

Importantly, the risk of intubation was independent of conventional risk factors for poor COVID-19 outcomes.

“People with preexisting diabetes-related vascular damage, such as retinopathy, might be predisposed to a more severe form of COVID-19 requiring ventilation in the intensive therapy unit,” said lead investigator Janaka Karalliedde, MBBS, PhD.

Dr. Karalliedde and colleagues note that this is “the first description of diabetic retinopathy as a potential risk factor for poor COVID-19 outcomes.”

“For this reason, looking for the presence or history of retinopathy or other vascular complications of diabetes may help health care professionals identify patients at high risk of severe COVID-19,” added Dr. Karalliedde, of Guy’s and St Thomas’ NHS Foundation Trust, London.

The study was published online in Diabetes Research and Clinical Practice.
 

Preexisting diabetic retinopathy and COVID-19 outcomes

The prevalence of diabetic retinopathy is thought to be around 55% in people with type 1 diabetes and 30% in people with type 2 diabetes, on average.

Dr. Karalliedde is part of a research group at King’s College London that has been focused on how vascular disease may predispose to more severe COVID-19.

“COVID-19 affects the blood vessels all over the body,” he said, so they wondered whether having preexisting retinopathy “would predispose to a severe manifestation of COVID-19.”

The observational study included 187 patients with diabetes (179 patients with type 2 diabetes and 8 patients with type 1 diabetes) hospitalized with COVID-19 at Guy’s and St Thomas’ NHS Foundation Trust between March 12 and April 7 (the peak of the first wave of the pandemic in the United Kingdom).  

“It was an ethnically diverse population who were very sick and provides a clinical observation of real life,” Dr. Karalliedde said.

Nearly half of patients were African Caribbean (44%), 39% were White, and 17% were of other ethnicities, including 8% who were Asian. The mean age of the cohort was 68 years (range, 22-97 years), and 60% were men.

Diabetic retinopathy was reported in 67 (36%) patients, of whom 80% had background retinopathy and 20% had more advanced retinopathy.

They then looked at whether the presence of retinopathy was associated with a more severe manifestation of COVID-19 as defined by the need for tracheal intubation.

Of the 187 patients, 26% were intubated and 45% of these patients had diabetic retinopathy.

The analysis showed those with diabetic retinopathy had an over-fivefold increased risk for intubation (odds ratio, 5.81; 95% confidence interval, 1.37-24.66).

Of the entire cohort, 32% of patients died, although no association was observed between retinopathy and mortality.

“A greater number of diabetes patients with COVID-19 ended up on the intensive therapy unit. Upon multivariate analysis, we found retinopathy was independently associated with ending up on the intensive therapy unit,” stressed Dr. Karalliedde.

However, they noted that, “due to the cross-sectional design of our study, we cannot prove causality [between retinopathy and intubation]. Further studies are required to understand the mechanisms that explain the associations between retinopathy and other indices of microangiopathy with severe COVID-19.”

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

A novel lower-cost noninvasive continuous glucose monitor (CGM) combined with a digital education/guidance program is set to launch in the United States and Europe this month for use in type 2 diabetes.

With the goal of improving management, or even reversing the condition, Neumara’s SugarBEAT device is thought to be the world’s first noninvasive CGM.

Its cost is anticipated to be far lower than traditional CGM, and it’s aimed at a different patient population: those with type 2 diabetes or prediabetes who may or may not be performing fingerstick glucose monitoring, but if they are, they still aren’t using the information to guide management.

“This isn’t about handing out devices and letting patients get on about it on their own accord. This is really about supporting those individuals,” Faz Chowdhury, MD, Nemaura’s chief executive officer, said in an interview.

He pointed to studies showing improvements in glycemic control in patients with type 2 diabetes who were instructed to perform fingerstick blood glucose testing seven times a day for 3-4 days a month and given advice about how to respond to the data.

“This is well established. We’re saying we can make that process a lot more scalable and affordable and convenient for the patient. ... The behavior change side is digitized,” Dr. Chowdhury said. “We want to provide a program to help people reverse their diabetes or at least stabilize it as much as possible.”

Nicholas Argento, MD, diabetes technology director at Maryland Endocrine and Diabetes, Columbia, said in an interview: “It’s interesting. They’re taking a very different approach. I think there’s a lot of validity to what they’re looking at because we have great CGMs right now, but because of the price point it’s not accessible to a lot of people.

“I think they’re onto something that could prove to be useful to a larger group of patients,” he added.
 

Worn a few days per month and accurate despite being noninvasive

Instead of inserting a catheter under the skin with a needle, as do current CGMs, the device comprises a small rechargeable transmitter and adhesive patch with a sensor that sits on the top of the skin, typically the upper arm. Glucose molecules are drawn out of the interstitial fluid just below the skin and into a chamber where the transmitter measures the glucose level and transmits the data every 5 minutes via Bluetooth to a smartphone app.

Despite this noninvasive approach, the device appears to be about as accurate as traditional CGMs, with comparable mean absolute relative difference (MARD) from a gold standard glucose measure of about 11%-12% with once-daily calibration versus 10%-11% for the Abbott FreeStyle Libre.

Unlike traditional CGMs, SugarBEAT is meant to be worn for only 14 hours at a time during the day and for 2-4 days per month rather than every day.

It’s not aimed at patients with type 1 diabetes or those with type 2 diabetes who are at high risk for hypoglycemia. It requires once-daily fingerstick calibration and is not indicated to replace fingersticks for treatment decisions.

SugarBEAT received a CE Mark in Europe as a Class IIb medical device in May 2019. That version provides real-time glucose values visible to the wearer. In the United States the company submitted a premarketing approval application for the device to the Food and Drug Administration in July 2020, which awaits a decision.

However, FDA is allowing it to enter the U.S. market as a “wellness” device that won’t deliver real-time values for now but instead will generate retroactive reports available to the physician and the patient.   

And last month, U.K.-based Neumara launched the BEATdiabetes site, which allows users to sign in and link to the device once it becomes available.

The site provides “scientifically validated, personalized coaching” based on a program developed at the Joslin Diabetes Clinic in Syracuse, N.Y., and will ultimately include monitoring of other cardiovascular risk factors with digital connectivity to a variety of wearables.
 

Fingerstick monitoring in type 2 diabetes is only so useful

“Fingerstick monitoring for type 2 diabetes is only so useful,” Dr. Argento said in an interview.

“It’s difficult to get people to monitor in a meaningful way.” If patients perform them only in the morning or at other sporadic times of the day, he said, “Then you get a one-dimensional picture ... and they don’t know what to do with the information anyway, so they stop doing it.”

In contrast, with SugarBEAT and BEATDiabetes, “I think it does address a need that fingerstick monitoring doesn’t.”

Dr. Argento did express a few caveats about the device, however. For one, it still requires one fingerstick a day for calibration. “If people don’t like needles, that might be a disincentive.”

Also, despite the apparently comparable mean absolute relative difference with that of conventional CGMs, that measure can still “hide” values that may be consistently either above or below target range.

“MARD is like A1c in that it’s useful but limited. ... It doesn’t tell you about variability or systemic bias,” he said.

Dr. Argento also said that he’d like to see data on the lag time between the interstitial fluid and blood glucose measures with this noninvasive method as compared with that of a subcutaneous catheter.

However, he acknowledged that these potentials for error would be less important for patients with type 2 diabetes who aren’t generally taking medications that increase their risk for hypoglycemia.

In all, he said, “stay tuned. I think this is part of a movement going away from point-in-time to looking at trends and wearables and data to enrich decision-making…There are still some unanswered questions I have but I think they’re onto a concept that’s useful for a broader population.”  

Dr. Chowdhury is an employee of Neumara. Dr. Argento consults for Senseonics and Dexcom, and is also a speaker for Dexcom.

This article first appeared on Medscape.com.

A novel lower-cost noninvasive continuous glucose monitor (CGM) combined with a digital education/guidance program is set to launch in the United States and Europe this month for use in type 2 diabetes.

With the goal of improving management, or even reversing the condition, Neumara’s SugarBEAT device is thought to be the world’s first noninvasive CGM.

Its cost is anticipated to be far lower than traditional CGM, and it’s aimed at a different patient population: those with type 2 diabetes or prediabetes who may or may not be performing fingerstick glucose monitoring, but if they are, they still aren’t using the information to guide management.

“This isn’t about handing out devices and letting patients get on about it on their own accord. This is really about supporting those individuals,” Faz Chowdhury, MD, Nemaura’s chief executive officer, said in an interview.

He pointed to studies showing improvements in glycemic control in patients with type 2 diabetes who were instructed to perform fingerstick blood glucose testing seven times a day for 3-4 days a month and given advice about how to respond to the data.

“This is well established. We’re saying we can make that process a lot more scalable and affordable and convenient for the patient. ... The behavior change side is digitized,” Dr. Chowdhury said. “We want to provide a program to help people reverse their diabetes or at least stabilize it as much as possible.”

Nicholas Argento, MD, diabetes technology director at Maryland Endocrine and Diabetes, Columbia, said in an interview: “It’s interesting. They’re taking a very different approach. I think there’s a lot of validity to what they’re looking at because we have great CGMs right now, but because of the price point it’s not accessible to a lot of people.

“I think they’re onto something that could prove to be useful to a larger group of patients,” he added.
 

Worn a few days per month and accurate despite being noninvasive

Instead of inserting a catheter under the skin with a needle, as do current CGMs, the device comprises a small rechargeable transmitter and adhesive patch with a sensor that sits on the top of the skin, typically the upper arm. Glucose molecules are drawn out of the interstitial fluid just below the skin and into a chamber where the transmitter measures the glucose level and transmits the data every 5 minutes via Bluetooth to a smartphone app.

Despite this noninvasive approach, the device appears to be about as accurate as traditional CGMs, with comparable mean absolute relative difference (MARD) from a gold standard glucose measure of about 11%-12% with once-daily calibration versus 10%-11% for the Abbott FreeStyle Libre.

Unlike traditional CGMs, SugarBEAT is meant to be worn for only 14 hours at a time during the day and for 2-4 days per month rather than every day.

It’s not aimed at patients with type 1 diabetes or those with type 2 diabetes who are at high risk for hypoglycemia. It requires once-daily fingerstick calibration and is not indicated to replace fingersticks for treatment decisions.

SugarBEAT received a CE Mark in Europe as a Class IIb medical device in May 2019. That version provides real-time glucose values visible to the wearer. In the United States the company submitted a premarketing approval application for the device to the Food and Drug Administration in July 2020, which awaits a decision.

However, FDA is allowing it to enter the U.S. market as a “wellness” device that won’t deliver real-time values for now but instead will generate retroactive reports available to the physician and the patient.   

And last month, U.K.-based Neumara launched the BEATdiabetes site, which allows users to sign in and link to the device once it becomes available.

The site provides “scientifically validated, personalized coaching” based on a program developed at the Joslin Diabetes Clinic in Syracuse, N.Y., and will ultimately include monitoring of other cardiovascular risk factors with digital connectivity to a variety of wearables.
 

Fingerstick monitoring in type 2 diabetes is only so useful

“Fingerstick monitoring for type 2 diabetes is only so useful,” Dr. Argento said in an interview.

“It’s difficult to get people to monitor in a meaningful way.” If patients perform them only in the morning or at other sporadic times of the day, he said, “Then you get a one-dimensional picture ... and they don’t know what to do with the information anyway, so they stop doing it.”

In contrast, with SugarBEAT and BEATDiabetes, “I think it does address a need that fingerstick monitoring doesn’t.”

Dr. Argento did express a few caveats about the device, however. For one, it still requires one fingerstick a day for calibration. “If people don’t like needles, that might be a disincentive.”

Also, despite the apparently comparable mean absolute relative difference with that of conventional CGMs, that measure can still “hide” values that may be consistently either above or below target range.

“MARD is like A1c in that it’s useful but limited. ... It doesn’t tell you about variability or systemic bias,” he said.

Dr. Argento also said that he’d like to see data on the lag time between the interstitial fluid and blood glucose measures with this noninvasive method as compared with that of a subcutaneous catheter.

However, he acknowledged that these potentials for error would be less important for patients with type 2 diabetes who aren’t generally taking medications that increase their risk for hypoglycemia.

In all, he said, “stay tuned. I think this is part of a movement going away from point-in-time to looking at trends and wearables and data to enrich decision-making…There are still some unanswered questions I have but I think they’re onto a concept that’s useful for a broader population.”  

Dr. Chowdhury is an employee of Neumara. Dr. Argento consults for Senseonics and Dexcom, and is also a speaker for Dexcom.

This article first appeared on Medscape.com.

A novel lower-cost noninvasive continuous glucose monitor (CGM) combined with a digital education/guidance program is set to launch in the United States and Europe this month for use in type 2 diabetes.

With the goal of improving management, or even reversing the condition, Neumara’s SugarBEAT device is thought to be the world’s first noninvasive CGM.

Its cost is anticipated to be far lower than traditional CGM, and it’s aimed at a different patient population: those with type 2 diabetes or prediabetes who may or may not be performing fingerstick glucose monitoring, but if they are, they still aren’t using the information to guide management.

“This isn’t about handing out devices and letting patients get on about it on their own accord. This is really about supporting those individuals,” Faz Chowdhury, MD, Nemaura’s chief executive officer, said in an interview.

He pointed to studies showing improvements in glycemic control in patients with type 2 diabetes who were instructed to perform fingerstick blood glucose testing seven times a day for 3-4 days a month and given advice about how to respond to the data.

“This is well established. We’re saying we can make that process a lot more scalable and affordable and convenient for the patient. ... The behavior change side is digitized,” Dr. Chowdhury said. “We want to provide a program to help people reverse their diabetes or at least stabilize it as much as possible.”

Nicholas Argento, MD, diabetes technology director at Maryland Endocrine and Diabetes, Columbia, said in an interview: “It’s interesting. They’re taking a very different approach. I think there’s a lot of validity to what they’re looking at because we have great CGMs right now, but because of the price point it’s not accessible to a lot of people.

“I think they’re onto something that could prove to be useful to a larger group of patients,” he added.
 

Worn a few days per month and accurate despite being noninvasive

Instead of inserting a catheter under the skin with a needle, as do current CGMs, the device comprises a small rechargeable transmitter and adhesive patch with a sensor that sits on the top of the skin, typically the upper arm. Glucose molecules are drawn out of the interstitial fluid just below the skin and into a chamber where the transmitter measures the glucose level and transmits the data every 5 minutes via Bluetooth to a smartphone app.

Despite this noninvasive approach, the device appears to be about as accurate as traditional CGMs, with comparable mean absolute relative difference (MARD) from a gold standard glucose measure of about 11%-12% with once-daily calibration versus 10%-11% for the Abbott FreeStyle Libre.

Unlike traditional CGMs, SugarBEAT is meant to be worn for only 14 hours at a time during the day and for 2-4 days per month rather than every day.

It’s not aimed at patients with type 1 diabetes or those with type 2 diabetes who are at high risk for hypoglycemia. It requires once-daily fingerstick calibration and is not indicated to replace fingersticks for treatment decisions.

SugarBEAT received a CE Mark in Europe as a Class IIb medical device in May 2019. That version provides real-time glucose values visible to the wearer. In the United States the company submitted a premarketing approval application for the device to the Food and Drug Administration in July 2020, which awaits a decision.

However, FDA is allowing it to enter the U.S. market as a “wellness” device that won’t deliver real-time values for now but instead will generate retroactive reports available to the physician and the patient.   

And last month, U.K.-based Neumara launched the BEATdiabetes site, which allows users to sign in and link to the device once it becomes available.

The site provides “scientifically validated, personalized coaching” based on a program developed at the Joslin Diabetes Clinic in Syracuse, N.Y., and will ultimately include monitoring of other cardiovascular risk factors with digital connectivity to a variety of wearables.
 

Fingerstick monitoring in type 2 diabetes is only so useful

“Fingerstick monitoring for type 2 diabetes is only so useful,” Dr. Argento said in an interview.

“It’s difficult to get people to monitor in a meaningful way.” If patients perform them only in the morning or at other sporadic times of the day, he said, “Then you get a one-dimensional picture ... and they don’t know what to do with the information anyway, so they stop doing it.”

In contrast, with SugarBEAT and BEATDiabetes, “I think it does address a need that fingerstick monitoring doesn’t.”

Dr. Argento did express a few caveats about the device, however. For one, it still requires one fingerstick a day for calibration. “If people don’t like needles, that might be a disincentive.”

Also, despite the apparently comparable mean absolute relative difference with that of conventional CGMs, that measure can still “hide” values that may be consistently either above or below target range.

“MARD is like A1c in that it’s useful but limited. ... It doesn’t tell you about variability or systemic bias,” he said.

Dr. Argento also said that he’d like to see data on the lag time between the interstitial fluid and blood glucose measures with this noninvasive method as compared with that of a subcutaneous catheter.

However, he acknowledged that these potentials for error would be less important for patients with type 2 diabetes who aren’t generally taking medications that increase their risk for hypoglycemia.

In all, he said, “stay tuned. I think this is part of a movement going away from point-in-time to looking at trends and wearables and data to enrich decision-making…There are still some unanswered questions I have but I think they’re onto a concept that’s useful for a broader population.”  

Dr. Chowdhury is an employee of Neumara. Dr. Argento consults for Senseonics and Dexcom, and is also a speaker for Dexcom.

This article first appeared on Medscape.com.

Delayed health care brought on by the pandemic is taking its toll on patients, a survey of primary care doctors shows. 

More than half (56%) of responding clinicians reported seeing a decline in patient health because of delayed or inaccessible care amid the pandemic, according to the results of the latest survey by the Larry A. Green Center and the Primary Care Collaborative. The survey was conducted in mid-October and the results were published online Nov. 17.  

In addition, 37% of respondents said their patients with chronic conditions showed “noticeably worse health resulting from the pandemic.” And a resounding 85% said patient mental health had worsened. 

“I think it’s worse than we thought,” said Rebecca Etz, PhD, codirector of the Larry Green Center. “It’s the outcome of not sufficiently sending resources to primary care either before or during the pandemic.” According to Dr. Etz, survey respondents noted substantial increases in patient weight gain as well as weight loss, anxiety and depression, sleep issues, domestic abuse, and poor oral and eye health, among others.

One clinician from Pennsylvania wrote: “Patients are becoming sicker during the pandemic. I’m seeing more uncontrolled [diabetes]and new [patients with diabetes]. They prefer telehealth yet [have] no access to glucose monitoring or a blood pressure cuff. I am concerned about patients’ isolation and mental health. People are delaying care.”

Now, with COVID numbers peaking across much of the country, many clinicians are trying to close the gap in care with telehealth – something they’re more prepared to do now than they were in March. Over two-thirds of practices are using telehealth for visits to keep up with patients who have stable chronic conditions, according to the survey.

Over 60% of physicians report using telehealth for mental health visits. But a much smaller number – only 16% of respondents – said their practice had added staff to help manage the rising number of behavioral and mental health cases. About one-third (35%) of practices say they’re not financially able to take on new staff.

“We’ve been looking for more ways for patients to do self-support. A big part of chronic disease is health behaviors,” Alex Krist, MD, MPH, a family doctor in Fairfax, Va., and chairperson of the U.S. Preventive Services Task Force, said in an interview. And unfortunately, on top of limited access to basic care, healthy habits that are essential to managing many chronic conditions have become more difficult and less consistent during the pandemic. 

The survey – the 22nd iteration in a series of surveys the Green Center and the Primary Care Collaborative have conducted – received 580 respondents from 47 states and Guam. Over two-thirds of respondents were primary care physicians (MDs and DOs). Over half were owners, partners, or employees of a private practice, 66% of which were family medicine practices. And one fifth of respondents provided care in a rural area.

Funding and support for primary care has been wildly insufficient, Dr. Etz said in an interview. If that doesn’t change, patient health, clinic staffing, and public health strategies amid the pandemic will continue to suffer.

“When you think of the COVID vaccine, who do you think is going to be sending that out?” Dr. Etz asked. “If we don’t bolster primary care now how are they going to handle that.”
 

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

Delayed health care brought on by the pandemic is taking its toll on patients, a survey of primary care doctors shows. 

More than half (56%) of responding clinicians reported seeing a decline in patient health because of delayed or inaccessible care amid the pandemic, according to the results of the latest survey by the Larry A. Green Center and the Primary Care Collaborative. The survey was conducted in mid-October and the results were published online Nov. 17.  

In addition, 37% of respondents said their patients with chronic conditions showed “noticeably worse health resulting from the pandemic.” And a resounding 85% said patient mental health had worsened. 

“I think it’s worse than we thought,” said Rebecca Etz, PhD, codirector of the Larry Green Center. “It’s the outcome of not sufficiently sending resources to primary care either before or during the pandemic.” According to Dr. Etz, survey respondents noted substantial increases in patient weight gain as well as weight loss, anxiety and depression, sleep issues, domestic abuse, and poor oral and eye health, among others.

One clinician from Pennsylvania wrote: “Patients are becoming sicker during the pandemic. I’m seeing more uncontrolled [diabetes]and new [patients with diabetes]. They prefer telehealth yet [have] no access to glucose monitoring or a blood pressure cuff. I am concerned about patients’ isolation and mental health. People are delaying care.”

Now, with COVID numbers peaking across much of the country, many clinicians are trying to close the gap in care with telehealth – something they’re more prepared to do now than they were in March. Over two-thirds of practices are using telehealth for visits to keep up with patients who have stable chronic conditions, according to the survey.

Over 60% of physicians report using telehealth for mental health visits. But a much smaller number – only 16% of respondents – said their practice had added staff to help manage the rising number of behavioral and mental health cases. About one-third (35%) of practices say they’re not financially able to take on new staff.

“We’ve been looking for more ways for patients to do self-support. A big part of chronic disease is health behaviors,” Alex Krist, MD, MPH, a family doctor in Fairfax, Va., and chairperson of the U.S. Preventive Services Task Force, said in an interview. And unfortunately, on top of limited access to basic care, healthy habits that are essential to managing many chronic conditions have become more difficult and less consistent during the pandemic. 

The survey – the 22nd iteration in a series of surveys the Green Center and the Primary Care Collaborative have conducted – received 580 respondents from 47 states and Guam. Over two-thirds of respondents were primary care physicians (MDs and DOs). Over half were owners, partners, or employees of a private practice, 66% of which were family medicine practices. And one fifth of respondents provided care in a rural area.

Funding and support for primary care has been wildly insufficient, Dr. Etz said in an interview. If that doesn’t change, patient health, clinic staffing, and public health strategies amid the pandemic will continue to suffer.

“When you think of the COVID vaccine, who do you think is going to be sending that out?” Dr. Etz asked. “If we don’t bolster primary care now how are they going to handle that.”
 

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

Delayed health care brought on by the pandemic is taking its toll on patients, a survey of primary care doctors shows. 

More than half (56%) of responding clinicians reported seeing a decline in patient health because of delayed or inaccessible care amid the pandemic, according to the results of the latest survey by the Larry A. Green Center and the Primary Care Collaborative. The survey was conducted in mid-October and the results were published online Nov. 17.  

In addition, 37% of respondents said their patients with chronic conditions showed “noticeably worse health resulting from the pandemic.” And a resounding 85% said patient mental health had worsened. 

“I think it’s worse than we thought,” said Rebecca Etz, PhD, codirector of the Larry Green Center. “It’s the outcome of not sufficiently sending resources to primary care either before or during the pandemic.” According to Dr. Etz, survey respondents noted substantial increases in patient weight gain as well as weight loss, anxiety and depression, sleep issues, domestic abuse, and poor oral and eye health, among others.

One clinician from Pennsylvania wrote: “Patients are becoming sicker during the pandemic. I’m seeing more uncontrolled [diabetes]and new [patients with diabetes]. They prefer telehealth yet [have] no access to glucose monitoring or a blood pressure cuff. I am concerned about patients’ isolation and mental health. People are delaying care.”

Now, with COVID numbers peaking across much of the country, many clinicians are trying to close the gap in care with telehealth – something they’re more prepared to do now than they were in March. Over two-thirds of practices are using telehealth for visits to keep up with patients who have stable chronic conditions, according to the survey.

Over 60% of physicians report using telehealth for mental health visits. But a much smaller number – only 16% of respondents – said their practice had added staff to help manage the rising number of behavioral and mental health cases. About one-third (35%) of practices say they’re not financially able to take on new staff.

“We’ve been looking for more ways for patients to do self-support. A big part of chronic disease is health behaviors,” Alex Krist, MD, MPH, a family doctor in Fairfax, Va., and chairperson of the U.S. Preventive Services Task Force, said in an interview. And unfortunately, on top of limited access to basic care, healthy habits that are essential to managing many chronic conditions have become more difficult and less consistent during the pandemic. 

The survey – the 22nd iteration in a series of surveys the Green Center and the Primary Care Collaborative have conducted – received 580 respondents from 47 states and Guam. Over two-thirds of respondents were primary care physicians (MDs and DOs). Over half were owners, partners, or employees of a private practice, 66% of which were family medicine practices. And one fifth of respondents provided care in a rural area.

Funding and support for primary care has been wildly insufficient, Dr. Etz said in an interview. If that doesn’t change, patient health, clinic staffing, and public health strategies amid the pandemic will continue to suffer.

“When you think of the COVID vaccine, who do you think is going to be sending that out?” Dr. Etz asked. “If we don’t bolster primary care now how are they going to handle that.”
 

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

The known reduction in the risk of type 2 diabetes associated with adoption of the Mediterranean diet appears specifically attributed to its beneficial effects on some key factors, a new study published online in JAMA Network Open reveals.

While a reduction in body mass index may be somewhat obvious, other mechanisms include beneficial effects on insulin resistance, lipoprotein metabolism, and inflammation.

However, the diet’s antidiabetes effect does not appear to extend to people whose weight is considered healthy (BMI under 25 kg/m²), according to the findings.

“It is striking to see in these U.S. women how strong the long-term antidiabetic properties of a Mediterranean-type dietary pattern are,” senior author Samia Mora, MD, of the Center for Lipid Metabolomics, Brigham and Women’s Hospital, Harvard Medical School, Boston, said in an interview.

“While it was known that the Mediterranean diet has many health benefits in particular on metabolism and inflammation, it was not previously known which of these biological pathways may be contributing to the lower risk of diabetes and to what magnitude.

“Our findings support the idea that by improving their diet, people can improve their future risk of type 2 diabetes, particularly if they are overweight or have obesity,” she added.

“And it’s important to note that many of these changes don’t happen right away. While metabolism can change over a short period of time, our study indicates that there are longer term changes happening that may provide protection over decades.”
 

Mediterranean diet reduced diabetes risk in those with BMI ≥ 25 kg/m²

The Mediterranean diet, with an emphasis on healthy olive oil as the predominant source of oil, favors fruits, vegetables, legumes, nuts, seeds, fish, and dairy products, while limiting intake of red and processed meats as well as sweets.

The diet has been linked to as much as a 25%-30% reduction in the risk of diabetes in previous observational studies.

To investigate the precise mechanisms that underlie the prevention of diabetes, lead author Shafqat Ahmad, PhD, also of Harvard, and colleagues examined data from 25,317 healthy women participating in the Women’s Health Study who had baseline assessments between September 1992 and May 1995. They were a mean age of 52.9 years at baseline.

Over the course of the study, 2,307 participants developed type 2 diabetes.

With a mean follow-up of 19.8 years, those who had the highest self-reported adherence to the Mediterranean diet (a score ≥ 6 on a scale of 0-6) at baseline, had as much as a 30% lower risk of developing type 2 diabetes after multivariate adjustments, compared to those with a lower Mediterranean diet score (a score ≤ 3; hazard ratio, 0.70).

The diabetes-related biomarkers that contributed the most to the reduced risk were insulin resistance, accounting for 65% of the reduction, followed by BMI (55.5%), high-density lipoprotein measures (53%), and inflammation (52.5%).

Other factors, though to a lesser degree, included branched-chain amino acids (34.5%), very low-density lipoprotein measures (32.0%), low-density lipoprotein measures (31.0%), blood pressure (29.0%), and apolipoproteins (23.5%).

Differences in hemoglobin A1c levels had a limited effect on the risk (2%).

Notably, a subgroup analysis looking at effects of the diet according to baseline BMI showed the reductions in type 2 diabetes associated with higher intake of the Mediterranean diet extended only to those with an above normal weight (BMI ≥ 25 kg/m²).

Dr. Mora noted that, as this was not a prespecified analysis, these findings should be viewed as hypothesis-generating, but are consistent with the well-known increase in diabetes risk seen with a higher BMI.

“[The finding] fits with the biology and pathogenesis of type 2 diabetes that is driven in large part by excess weight, in particular for visceral adiposity and its resulting metabolic dysregulation and inflammation,” she said.

“We know from other studies, such as the Nurses’ Health Study, that the risk for type 2 diabetes in women increases even at BMI levels below 25 kg/m², but the risk goes up exponentially at around a BMI of 25 and higher.”

Strong role of insulin resistance a surprise

The strong role of insulin resistance was a surprise, Dr. Mora added.

“We were surprised that insulin resistance, measured by a simple blood biomarker, would have the strongest mediating effect – even stronger than BMI – for the Mediterranean diet on risk of diabetes,” she noted.

“This could represent an opportunity to intervene earlier and more intensively on improving insulin resistance through dietary approaches such as the Mediterranean diet, especially [because] insulin resistance can precede by years and decades the overt hyperglycemia and clinical diagnosis of diabetes.”

Yet another surprise was that A1c had no substantial mediating effect on the reduction of diabetes risk with the Mediterranean diet.

“This could suggest that the cat is out of the bag by the time the A1c rises,” Dr. Mora observed.

A study limitation is that the Women’s Health Study consisted of well-educated U.S. women who were health professionals and predominantly White, so the results may not be generalizable to men or individuals of other races or ethnicities.

In addition, BMI was self-reported and participants were not uniformly screened for diabetes, therefore surveillance bias could be possible.

However, the findings suggest that “even a small increase in adherence to the Mediterranean diet has substantial benefits over many years in preventing diabetes, among many other health benefits such as lowering insulin resistance and inflammation, improving lipid metabolism, and lowering blood pressure,” Mora said.

“And of course, the more the adherence, the more the benefit.” 

The study received support through grants from the National Institutes of Health, the National Heart, Lung, and Blood Institute, the National Institute of Diabetes and Digestive and Kidney Diseases, the American Heart Association, and the Molino Family Trust. A coauthor is listed as a coinventor on patents held by Brigham and Women’s Hospital related to the use of inflammatory biomarkers in cardiovascular disease (licensed to AstraZeneca and Siemens).

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

The known reduction in the risk of type 2 diabetes associated with adoption of the Mediterranean diet appears specifically attributed to its beneficial effects on some key factors, a new study published online in JAMA Network Open reveals.

While a reduction in body mass index may be somewhat obvious, other mechanisms include beneficial effects on insulin resistance, lipoprotein metabolism, and inflammation.

However, the diet’s antidiabetes effect does not appear to extend to people whose weight is considered healthy (BMI under 25 kg/m²), according to the findings.

“It is striking to see in these U.S. women how strong the long-term antidiabetic properties of a Mediterranean-type dietary pattern are,” senior author Samia Mora, MD, of the Center for Lipid Metabolomics, Brigham and Women’s Hospital, Harvard Medical School, Boston, said in an interview.

“While it was known that the Mediterranean diet has many health benefits in particular on metabolism and inflammation, it was not previously known which of these biological pathways may be contributing to the lower risk of diabetes and to what magnitude.

“Our findings support the idea that by improving their diet, people can improve their future risk of type 2 diabetes, particularly if they are overweight or have obesity,” she added.

“And it’s important to note that many of these changes don’t happen right away. While metabolism can change over a short period of time, our study indicates that there are longer term changes happening that may provide protection over decades.”
 

Mediterranean diet reduced diabetes risk in those with BMI ≥ 25 kg/m²

The Mediterranean diet, with an emphasis on healthy olive oil as the predominant source of oil, favors fruits, vegetables, legumes, nuts, seeds, fish, and dairy products, while limiting intake of red and processed meats as well as sweets.

The diet has been linked to as much as a 25%-30% reduction in the risk of diabetes in previous observational studies.

To investigate the precise mechanisms that underlie the prevention of diabetes, lead author Shafqat Ahmad, PhD, also of Harvard, and colleagues examined data from 25,317 healthy women participating in the Women’s Health Study who had baseline assessments between September 1992 and May 1995. They were a mean age of 52.9 years at baseline.

Over the course of the study, 2,307 participants developed type 2 diabetes.

With a mean follow-up of 19.8 years, those who had the highest self-reported adherence to the Mediterranean diet (a score ≥ 6 on a scale of 0-6) at baseline, had as much as a 30% lower risk of developing type 2 diabetes after multivariate adjustments, compared to those with a lower Mediterranean diet score (a score ≤ 3; hazard ratio, 0.70).

The diabetes-related biomarkers that contributed the most to the reduced risk were insulin resistance, accounting for 65% of the reduction, followed by BMI (55.5%), high-density lipoprotein measures (53%), and inflammation (52.5%).

Other factors, though to a lesser degree, included branched-chain amino acids (34.5%), very low-density lipoprotein measures (32.0%), low-density lipoprotein measures (31.0%), blood pressure (29.0%), and apolipoproteins (23.5%).

Differences in hemoglobin A1c levels had a limited effect on the risk (2%).

Notably, a subgroup analysis looking at effects of the diet according to baseline BMI showed the reductions in type 2 diabetes associated with higher intake of the Mediterranean diet extended only to those with an above normal weight (BMI ≥ 25 kg/m²).

Dr. Mora noted that, as this was not a prespecified analysis, these findings should be viewed as hypothesis-generating, but are consistent with the well-known increase in diabetes risk seen with a higher BMI.

“[The finding] fits with the biology and pathogenesis of type 2 diabetes that is driven in large part by excess weight, in particular for visceral adiposity and its resulting metabolic dysregulation and inflammation,” she said.

“We know from other studies, such as the Nurses’ Health Study, that the risk for type 2 diabetes in women increases even at BMI levels below 25 kg/m², but the risk goes up exponentially at around a BMI of 25 and higher.”

Strong role of insulin resistance a surprise

The strong role of insulin resistance was a surprise, Dr. Mora added.

“We were surprised that insulin resistance, measured by a simple blood biomarker, would have the strongest mediating effect – even stronger than BMI – for the Mediterranean diet on risk of diabetes,” she noted.

“This could represent an opportunity to intervene earlier and more intensively on improving insulin resistance through dietary approaches such as the Mediterranean diet, especially [because] insulin resistance can precede by years and decades the overt hyperglycemia and clinical diagnosis of diabetes.”

Yet another surprise was that A1c had no substantial mediating effect on the reduction of diabetes risk with the Mediterranean diet.

“This could suggest that the cat is out of the bag by the time the A1c rises,” Dr. Mora observed.

A study limitation is that the Women’s Health Study consisted of well-educated U.S. women who were health professionals and predominantly White, so the results may not be generalizable to men or individuals of other races or ethnicities.

In addition, BMI was self-reported and participants were not uniformly screened for diabetes, therefore surveillance bias could be possible.

However, the findings suggest that “even a small increase in adherence to the Mediterranean diet has substantial benefits over many years in preventing diabetes, among many other health benefits such as lowering insulin resistance and inflammation, improving lipid metabolism, and lowering blood pressure,” Mora said.

“And of course, the more the adherence, the more the benefit.” 

The study received support through grants from the National Institutes of Health, the National Heart, Lung, and Blood Institute, the National Institute of Diabetes and Digestive and Kidney Diseases, the American Heart Association, and the Molino Family Trust. A coauthor is listed as a coinventor on patents held by Brigham and Women’s Hospital related to the use of inflammatory biomarkers in cardiovascular disease (licensed to AstraZeneca and Siemens).

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

The known reduction in the risk of type 2 diabetes associated with adoption of the Mediterranean diet appears specifically attributed to its beneficial effects on some key factors, a new study published online in JAMA Network Open reveals.

While a reduction in body mass index may be somewhat obvious, other mechanisms include beneficial effects on insulin resistance, lipoprotein metabolism, and inflammation.

However, the diet’s antidiabetes effect does not appear to extend to people whose weight is considered healthy (BMI under 25 kg/m²), according to the findings.

“It is striking to see in these U.S. women how strong the long-term antidiabetic properties of a Mediterranean-type dietary pattern are,” senior author Samia Mora, MD, of the Center for Lipid Metabolomics, Brigham and Women’s Hospital, Harvard Medical School, Boston, said in an interview.

“While it was known that the Mediterranean diet has many health benefits in particular on metabolism and inflammation, it was not previously known which of these biological pathways may be contributing to the lower risk of diabetes and to what magnitude.

“Our findings support the idea that by improving their diet, people can improve their future risk of type 2 diabetes, particularly if they are overweight or have obesity,” she added.

“And it’s important to note that many of these changes don’t happen right away. While metabolism can change over a short period of time, our study indicates that there are longer term changes happening that may provide protection over decades.”
 

Mediterranean diet reduced diabetes risk in those with BMI ≥ 25 kg/m²

The Mediterranean diet, with an emphasis on healthy olive oil as the predominant source of oil, favors fruits, vegetables, legumes, nuts, seeds, fish, and dairy products, while limiting intake of red and processed meats as well as sweets.

The diet has been linked to as much as a 25%-30% reduction in the risk of diabetes in previous observational studies.

To investigate the precise mechanisms that underlie the prevention of diabetes, lead author Shafqat Ahmad, PhD, also of Harvard, and colleagues examined data from 25,317 healthy women participating in the Women’s Health Study who had baseline assessments between September 1992 and May 1995. They were a mean age of 52.9 years at baseline.

Over the course of the study, 2,307 participants developed type 2 diabetes.

With a mean follow-up of 19.8 years, those who had the highest self-reported adherence to the Mediterranean diet (a score ≥ 6 on a scale of 0-6) at baseline, had as much as a 30% lower risk of developing type 2 diabetes after multivariate adjustments, compared to those with a lower Mediterranean diet score (a score ≤ 3; hazard ratio, 0.70).

The diabetes-related biomarkers that contributed the most to the reduced risk were insulin resistance, accounting for 65% of the reduction, followed by BMI (55.5%), high-density lipoprotein measures (53%), and inflammation (52.5%).

Other factors, though to a lesser degree, included branched-chain amino acids (34.5%), very low-density lipoprotein measures (32.0%), low-density lipoprotein measures (31.0%), blood pressure (29.0%), and apolipoproteins (23.5%).

Differences in hemoglobin A1c levels had a limited effect on the risk (2%).

Notably, a subgroup analysis looking at effects of the diet according to baseline BMI showed the reductions in type 2 diabetes associated with higher intake of the Mediterranean diet extended only to those with an above normal weight (BMI ≥ 25 kg/m²).

Dr. Mora noted that, as this was not a prespecified analysis, these findings should be viewed as hypothesis-generating, but are consistent with the well-known increase in diabetes risk seen with a higher BMI.

“[The finding] fits with the biology and pathogenesis of type 2 diabetes that is driven in large part by excess weight, in particular for visceral adiposity and its resulting metabolic dysregulation and inflammation,” she said.

“We know from other studies, such as the Nurses’ Health Study, that the risk for type 2 diabetes in women increases even at BMI levels below 25 kg/m², but the risk goes up exponentially at around a BMI of 25 and higher.”

Strong role of insulin resistance a surprise

The strong role of insulin resistance was a surprise, Dr. Mora added.

“We were surprised that insulin resistance, measured by a simple blood biomarker, would have the strongest mediating effect – even stronger than BMI – for the Mediterranean diet on risk of diabetes,” she noted.

“This could represent an opportunity to intervene earlier and more intensively on improving insulin resistance through dietary approaches such as the Mediterranean diet, especially [because] insulin resistance can precede by years and decades the overt hyperglycemia and clinical diagnosis of diabetes.”

Yet another surprise was that A1c had no substantial mediating effect on the reduction of diabetes risk with the Mediterranean diet.

“This could suggest that the cat is out of the bag by the time the A1c rises,” Dr. Mora observed.

A study limitation is that the Women’s Health Study consisted of well-educated U.S. women who were health professionals and predominantly White, so the results may not be generalizable to men or individuals of other races or ethnicities.

In addition, BMI was self-reported and participants were not uniformly screened for diabetes, therefore surveillance bias could be possible.

However, the findings suggest that “even a small increase in adherence to the Mediterranean diet has substantial benefits over many years in preventing diabetes, among many other health benefits such as lowering insulin resistance and inflammation, improving lipid metabolism, and lowering blood pressure,” Mora said.

“And of course, the more the adherence, the more the benefit.” 

The study received support through grants from the National Institutes of Health, the National Heart, Lung, and Blood Institute, the National Institute of Diabetes and Digestive and Kidney Diseases, the American Heart Association, and the Molino Family Trust. A coauthor is listed as a coinventor on patents held by Brigham and Women’s Hospital related to the use of inflammatory biomarkers in cardiovascular disease (licensed to AstraZeneca and Siemens).

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

Women with type 2 diabetes who take metformin during pregnancy to control their blood glucose levels experience a range of benefits, including reduced weight gain, reduced insulin doses, and fewer large-for-gestational-age babies, suggest the results of a randomized controlled trial.

However, the drug was associated with an increased risk of small-for-gestational-age babies, which poses the question as to risk versus benefit of metformin on the health of offspring.

“Better understanding of the short- and long-term implications of these effects on infants will be important to properly advise patients with type 2 diabetes contemplating use of metformin during pregnancy,” said lead author Denice S. Feig, MD, Mount Sinai Hospital, Toronto.

The research was presented at the Diabetes UK Professional Conference: Online Series on Nov. 17 and recently published in The Lancet Diabetes & Endocrinology.

Summing up, Dr. Feig said that, on balance, she would be inclined to give metformin to most pregnant women with type 2 diabetes, perhaps with the exception of those who may have risk factors for small-for-gestational-age babies; for example, women who’ve had intrauterine growth restriction, who are smokers, and have significant renal disease, or have a lower body mass index.
 

Increased prevalence of type 2 diabetes in pregnancy

Dr. Feig said that across the developed world there have been huge increases in the prevalence of type 2 diabetes in pregnancy in recent years.

Insulin is the standard treatment for the management of type 2 diabetes in pregnancy, but these women have marked insulin resistance that worsens in pregnancy, which means their insulin requirements increase, leading to weight gain, painful injections, high cost, and noncompliance.

So despite treatment with insulin, these women continue to face increased rates of adverse maternal and fetal outcomes.

And although metformin is increasingly being used in women with type 2 diabetes during pregnancy, there is a scarcity of data on the benefits and harms of metformin use on pregnancy outcomes in these women.

The MiTy trial was therefore undertaken to determine whether metformin could improve outcomes.

The team recruited 502 women from 29 sites in Canada and Australia who had type 2 diabetes prior to pregnancy or were diagnosed during pregnancy, before 20 weeks’ gestation. The women were randomized to metformin 1 g twice daily or placebo, in addition to their usual insulin regimen, at between 6 and 28 weeks’ gestation.

Type 2 diabetes was diagnosed prior to pregnancy in 83% of women in the metformin group and in 90% of those assigned to placebo. The mean hemoglobin A1c level at randomization was 47 mmol/mol (6.5%) in both groups.

The average maternal age at baseline was approximately 35 years and mean gestational age at randomization was 16 weeks. Mean prepregnancy BMI was approximately 34 kg/m².

Of note, only 30% were of European ethnicity.
 

Less weight gain, lower A1c, less insulin needed with metformin

Dr. Feig reported that there was no significant difference between the treatment groups in terms of the proportion of women with the composite primary outcome of pregnancy loss, preterm birth, birth injury, respiratory distress, neonatal hypoglycemia, or admission to neonatal intensive care lasting more than 24 hours (P = 0.86).

However, women in the metformin group had significantly less overall weight gain during pregnancy than did those in the placebo group, at –1.8 kg (P < .0001).

They also had a significantly lower last A1c level in pregnancy, at 41 mmol/mol (5.9%) versus 43.2 mmol/mol (6.1%) in those given placebo (P = .015), and required fewer insulin doses, at 1.1 versus 1.5 units/kg/day (P < .0001), which translated to a reduction of almost 44 units/day.

Women given metformin were also less likely to require Cesarean section delivery, at 53.4% versus 62.7% in the placebo group (P = .03), although there was no difference between groups in terms of gestational hypertension or preeclampsia.

The most common adverse events were gastrointestinal complications, which occurred in 27.3% of women in the metformin group and 22.3% of those given placebo.

There were no significant differences between the metformin and placebo groups in rates of pregnancy loss (P = .81), preterm birth (P = .16), birth injury (P = .37), respiratory distress (P = .49), and congenital anomalies (P = .16).
 

Average birth weight lower with metformin

However, Dr. Feig showed that the average birth weight was lower for offspring of women given metformin than those assigned to placebo, at 3.2 kg (7.05 lb) versus 3.4 kg (7.4 lb) (P = .002).

Women given metformin were also less likely to have a baby with a birth weight of 4 kg (8.8 lb) or more, at 12.1% versus 19.2%, or a relative risk of 0.65 (P = .046), and a baby that was extremely large for gestational age, at 8.6% versus 14.8%, or a relative risk of 0.58 (P = .046).

But of concern, metformin was associated with an increased risk of small-for-gestational-age babies, at 12.9% versus 6.6% with placebo, or a relative risk of 1.96 (P = .03).

Dr. Feig suggested that this may be due to a direct effect of metformin “because as we know metformin inhibits the mTOR pathway,” which is a “primary nutrient sensor in the placenta” and could “attenuate nutrient flux and fetal growth.”

She said it is not clear whether the small-for-gestational-age babies were “healthy or unhealthy.”

To investigate further, the team has launched the MiTy Kids study, which will follow the offspring in the MiTy trial to determine whether metformin during pregnancy is associated with a reduction in adiposity and improvement in insulin resistance in the babies at 2 years of age.
 

Who should be given metformin?

During the discussion, Helen R. Murphy, MD, PhD, Norwich Medical School, University of East Anglia, England, asked whether Dr. Feig would recommend continuing metformin in pregnancy if it was started preconception for fertility issues rather than diabetes.

She replied: “If they don’t have diabetes and it’s simply for PCOS [polycystic ovary syndrome], then I have either stopped it as soon as they got pregnant or sometimes continued it through the first trimester, and then stopped.

“If the person has diabetes, however, I think given this work, for most people I would continue it,” she said.

The study was funded by the Canadian Institutes of Health Research, Lunenfeld-Tanenbaum Research Institute, and the University of Toronto. The authors have reported no relevant financial relationships.

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

Women with type 2 diabetes who take metformin during pregnancy to control their blood glucose levels experience a range of benefits, including reduced weight gain, reduced insulin doses, and fewer large-for-gestational-age babies, suggest the results of a randomized controlled trial.

However, the drug was associated with an increased risk of small-for-gestational-age babies, which poses the question as to risk versus benefit of metformin on the health of offspring.

“Better understanding of the short- and long-term implications of these effects on infants will be important to properly advise patients with type 2 diabetes contemplating use of metformin during pregnancy,” said lead author Denice S. Feig, MD, Mount Sinai Hospital, Toronto.

The research was presented at the Diabetes UK Professional Conference: Online Series on Nov. 17 and recently published in The Lancet Diabetes & Endocrinology.

Summing up, Dr. Feig said that, on balance, she would be inclined to give metformin to most pregnant women with type 2 diabetes, perhaps with the exception of those who may have risk factors for small-for-gestational-age babies; for example, women who’ve had intrauterine growth restriction, who are smokers, and have significant renal disease, or have a lower body mass index.
 

Increased prevalence of type 2 diabetes in pregnancy

Dr. Feig said that across the developed world there have been huge increases in the prevalence of type 2 diabetes in pregnancy in recent years.

Insulin is the standard treatment for the management of type 2 diabetes in pregnancy, but these women have marked insulin resistance that worsens in pregnancy, which means their insulin requirements increase, leading to weight gain, painful injections, high cost, and noncompliance.

So despite treatment with insulin, these women continue to face increased rates of adverse maternal and fetal outcomes.

And although metformin is increasingly being used in women with type 2 diabetes during pregnancy, there is a scarcity of data on the benefits and harms of metformin use on pregnancy outcomes in these women.

The MiTy trial was therefore undertaken to determine whether metformin could improve outcomes.

The team recruited 502 women from 29 sites in Canada and Australia who had type 2 diabetes prior to pregnancy or were diagnosed during pregnancy, before 20 weeks’ gestation. The women were randomized to metformin 1 g twice daily or placebo, in addition to their usual insulin regimen, at between 6 and 28 weeks’ gestation.

Type 2 diabetes was diagnosed prior to pregnancy in 83% of women in the metformin group and in 90% of those assigned to placebo. The mean hemoglobin A1c level at randomization was 47 mmol/mol (6.5%) in both groups.

The average maternal age at baseline was approximately 35 years and mean gestational age at randomization was 16 weeks. Mean prepregnancy BMI was approximately 34 kg/m².

Of note, only 30% were of European ethnicity.
 

Less weight gain, lower A1c, less insulin needed with metformin

Dr. Feig reported that there was no significant difference between the treatment groups in terms of the proportion of women with the composite primary outcome of pregnancy loss, preterm birth, birth injury, respiratory distress, neonatal hypoglycemia, or admission to neonatal intensive care lasting more than 24 hours (P = 0.86).

However, women in the metformin group had significantly less overall weight gain during pregnancy than did those in the placebo group, at –1.8 kg (P < .0001).

They also had a significantly lower last A1c level in pregnancy, at 41 mmol/mol (5.9%) versus 43.2 mmol/mol (6.1%) in those given placebo (P = .015), and required fewer insulin doses, at 1.1 versus 1.5 units/kg/day (P < .0001), which translated to a reduction of almost 44 units/day.

Women given metformin were also less likely to require Cesarean section delivery, at 53.4% versus 62.7% in the placebo group (P = .03), although there was no difference between groups in terms of gestational hypertension or preeclampsia.

The most common adverse events were gastrointestinal complications, which occurred in 27.3% of women in the metformin group and 22.3% of those given placebo.

There were no significant differences between the metformin and placebo groups in rates of pregnancy loss (P = .81), preterm birth (P = .16), birth injury (P = .37), respiratory distress (P = .49), and congenital anomalies (P = .16).
 

Average birth weight lower with metformin

However, Dr. Feig showed that the average birth weight was lower for offspring of women given metformin than those assigned to placebo, at 3.2 kg (7.05 lb) versus 3.4 kg (7.4 lb) (P = .002).

Women given metformin were also less likely to have a baby with a birth weight of 4 kg (8.8 lb) or more, at 12.1% versus 19.2%, or a relative risk of 0.65 (P = .046), and a baby that was extremely large for gestational age, at 8.6% versus 14.8%, or a relative risk of 0.58 (P = .046).

But of concern, metformin was associated with an increased risk of small-for-gestational-age babies, at 12.9% versus 6.6% with placebo, or a relative risk of 1.96 (P = .03).

Dr. Feig suggested that this may be due to a direct effect of metformin “because as we know metformin inhibits the mTOR pathway,” which is a “primary nutrient sensor in the placenta” and could “attenuate nutrient flux and fetal growth.”

She said it is not clear whether the small-for-gestational-age babies were “healthy or unhealthy.”

To investigate further, the team has launched the MiTy Kids study, which will follow the offspring in the MiTy trial to determine whether metformin during pregnancy is associated with a reduction in adiposity and improvement in insulin resistance in the babies at 2 years of age.
 

Who should be given metformin?

During the discussion, Helen R. Murphy, MD, PhD, Norwich Medical School, University of East Anglia, England, asked whether Dr. Feig would recommend continuing metformin in pregnancy if it was started preconception for fertility issues rather than diabetes.

She replied: “If they don’t have diabetes and it’s simply for PCOS [polycystic ovary syndrome], then I have either stopped it as soon as they got pregnant or sometimes continued it through the first trimester, and then stopped.

“If the person has diabetes, however, I think given this work, for most people I would continue it,” she said.

The study was funded by the Canadian Institutes of Health Research, Lunenfeld-Tanenbaum Research Institute, and the University of Toronto. The authors have reported no relevant financial relationships.

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

Women with type 2 diabetes who take metformin during pregnancy to control their blood glucose levels experience a range of benefits, including reduced weight gain, reduced insulin doses, and fewer large-for-gestational-age babies, suggest the results of a randomized controlled trial.

However, the drug was associated with an increased risk of small-for-gestational-age babies, which poses the question as to risk versus benefit of metformin on the health of offspring.

“Better understanding of the short- and long-term implications of these effects on infants will be important to properly advise patients with type 2 diabetes contemplating use of metformin during pregnancy,” said lead author Denice S. Feig, MD, Mount Sinai Hospital, Toronto.

The research was presented at the Diabetes UK Professional Conference: Online Series on Nov. 17 and recently published in The Lancet Diabetes & Endocrinology.

Summing up, Dr. Feig said that, on balance, she would be inclined to give metformin to most pregnant women with type 2 diabetes, perhaps with the exception of those who may have risk factors for small-for-gestational-age babies; for example, women who’ve had intrauterine growth restriction, who are smokers, and have significant renal disease, or have a lower body mass index.
 

Increased prevalence of type 2 diabetes in pregnancy

Dr. Feig said that across the developed world there have been huge increases in the prevalence of type 2 diabetes in pregnancy in recent years.

Insulin is the standard treatment for the management of type 2 diabetes in pregnancy, but these women have marked insulin resistance that worsens in pregnancy, which means their insulin requirements increase, leading to weight gain, painful injections, high cost, and noncompliance.

So despite treatment with insulin, these women continue to face increased rates of adverse maternal and fetal outcomes.

And although metformin is increasingly being used in women with type 2 diabetes during pregnancy, there is a scarcity of data on the benefits and harms of metformin use on pregnancy outcomes in these women.

The MiTy trial was therefore undertaken to determine whether metformin could improve outcomes.

The team recruited 502 women from 29 sites in Canada and Australia who had type 2 diabetes prior to pregnancy or were diagnosed during pregnancy, before 20 weeks’ gestation. The women were randomized to metformin 1 g twice daily or placebo, in addition to their usual insulin regimen, at between 6 and 28 weeks’ gestation.

Type 2 diabetes was diagnosed prior to pregnancy in 83% of women in the metformin group and in 90% of those assigned to placebo. The mean hemoglobin A1c level at randomization was 47 mmol/mol (6.5%) in both groups.

The average maternal age at baseline was approximately 35 years and mean gestational age at randomization was 16 weeks. Mean prepregnancy BMI was approximately 34 kg/m².

Of note, only 30% were of European ethnicity.
 

Less weight gain, lower A1c, less insulin needed with metformin

Dr. Feig reported that there was no significant difference between the treatment groups in terms of the proportion of women with the composite primary outcome of pregnancy loss, preterm birth, birth injury, respiratory distress, neonatal hypoglycemia, or admission to neonatal intensive care lasting more than 24 hours (P = 0.86).

However, women in the metformin group had significantly less overall weight gain during pregnancy than did those in the placebo group, at –1.8 kg (P < .0001).

They also had a significantly lower last A1c level in pregnancy, at 41 mmol/mol (5.9%) versus 43.2 mmol/mol (6.1%) in those given placebo (P = .015), and required fewer insulin doses, at 1.1 versus 1.5 units/kg/day (P < .0001), which translated to a reduction of almost 44 units/day.

Women given metformin were also less likely to require Cesarean section delivery, at 53.4% versus 62.7% in the placebo group (P = .03), although there was no difference between groups in terms of gestational hypertension or preeclampsia.

The most common adverse events were gastrointestinal complications, which occurred in 27.3% of women in the metformin group and 22.3% of those given placebo.

There were no significant differences between the metformin and placebo groups in rates of pregnancy loss (P = .81), preterm birth (P = .16), birth injury (P = .37), respiratory distress (P = .49), and congenital anomalies (P = .16).
 

Average birth weight lower with metformin

However, Dr. Feig showed that the average birth weight was lower for offspring of women given metformin than those assigned to placebo, at 3.2 kg (7.05 lb) versus 3.4 kg (7.4 lb) (P = .002).

Women given metformin were also less likely to have a baby with a birth weight of 4 kg (8.8 lb) or more, at 12.1% versus 19.2%, or a relative risk of 0.65 (P = .046), and a baby that was extremely large for gestational age, at 8.6% versus 14.8%, or a relative risk of 0.58 (P = .046).

But of concern, metformin was associated with an increased risk of small-for-gestational-age babies, at 12.9% versus 6.6% with placebo, or a relative risk of 1.96 (P = .03).

Dr. Feig suggested that this may be due to a direct effect of metformin “because as we know metformin inhibits the mTOR pathway,” which is a “primary nutrient sensor in the placenta” and could “attenuate nutrient flux and fetal growth.”

She said it is not clear whether the small-for-gestational-age babies were “healthy or unhealthy.”

To investigate further, the team has launched the MiTy Kids study, which will follow the offspring in the MiTy trial to determine whether metformin during pregnancy is associated with a reduction in adiposity and improvement in insulin resistance in the babies at 2 years of age.
 

Who should be given metformin?

During the discussion, Helen R. Murphy, MD, PhD, Norwich Medical School, University of East Anglia, England, asked whether Dr. Feig would recommend continuing metformin in pregnancy if it was started preconception for fertility issues rather than diabetes.

She replied: “If they don’t have diabetes and it’s simply for PCOS [polycystic ovary syndrome], then I have either stopped it as soon as they got pregnant or sometimes continued it through the first trimester, and then stopped.

“If the person has diabetes, however, I think given this work, for most people I would continue it,” she said.

The study was funded by the Canadian Institutes of Health Research, Lunenfeld-Tanenbaum Research Institute, and the University of Toronto. The authors have reported no relevant financial relationships.

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

The human monoclonal antibody golimumab (Simponi) preserved endogenous insulin secretion in patients with new-onset type 1 diabetes and reduced their exogenous insulin requirements at 1 year, newly published phase 2 data indicate.

Results from the multicenter, double-blind, placebo-controlled trial were first reported as a poster at the virtual American Diabetes Association 80th Scientific Sessions in June. They were published online Nov. 18 in the New England Journal of Medicine.

In the 52-week study of 84 children and adults with new-onset type 1 diabetes, those given golimumab injections every 2 weeks had significantly higher levels of C-peptide, a marker of insulin secretion, and required less injected or infused insulin than did those who received placebo injections. There were no treatment-associated serious adverse events.

Golimumab is a human monoclonal antibody specific for tumor necrosis factor–alpha. It is approved for the treatment of several autoimmune diseases, including rheumatoid arthritis and ulcerative colitis, in the United States, Europe, and elsewhere.
 

An intermediate step toward a cure

Although none of the patients were able to stop taking insulin entirely, the results have important clinical implications, lead author Teresa Quattrin, MD, said in an interview.

“People want a cure, but the fact is, a cure is not available yet. So, this is an intermediate step towards a cure.... There are advantages to being on a small insulin dose,” including lower rates of hypoglycemia and maintenance of intraportal insulin, said Dr. Quattrin, of the State University of New York at Buffalo.

But in an accompanying editorial, Domenico Accili, MD, points to potential risks from immunotherapy and from attempting additional interventions at an “emotionally fraught” time when patients and families are coping with the new diabetes diagnosis.

He said of golimumab, “the effect is actually very small. ... There’s nothing wrong in and of itself with improving those outcomes. I just wouldn’t assign them as game changers.”

If this or a similar immunotherapeutic intervention were approved for this indication, “I would tell patients it exists and let them make the decision whether they want to try it. I wouldn’t say you must try it,” said Dr. Accili, of the Columbia University Diabetes and Endocrinology Research Center, New York.
 

With golimumab, higher C-peptide, lower insulin requirement

Of the 84 patients, who ranged in age from 6 to 21 years, 56 were randomly assigned within 100 days of being diagnosed with type 1 diabetes to receive golimumab, and 28 were assigned to receive placebo injections, given every 2 weeks.

The drug resulted in lower insulin use (0.51U/Kg per day vs. 0.69 U/kg per day), and the increase in insulin use over 52 weeks was less with golimumab than with placebo (0.07 vs. 0.24 U/kg per day; P = .001).

The mean percent decrease of C-peptide production from baseline was 12% with golimumab versus 56% with placebo.

Although the mean number of overall hypoglycemic events was similar, the mean number of level 2 hypoglycemic events (<54 mg/dL) was 36% lower with golimumab (11.5 vs. 17.6). There were no severe cases of hypoglycemia in either group.

No severe or serious infections occurred in either group, although mild to moderate infections were reported in 71% with golimumab versus 61% with placebo. More patients in the golimumab group experienced a decrease in neutrophils (29% vs. 19%).
 

Immunotherapy: Which one, and when should it start?

These findings come on the heels of the 2019 landmark results with another monoclonal antibody, the investigational anti-CD3 teplizumab (PRV-031). Among patients at risk, a diagnosis of type 1 diabetes was delayed by 2 years, and continued benefit was seen at 3 years.

However, Dr. Quattrin said teplizumab is limited by the fact that it must be administered via a 14-day infusion, whereas golimumab can be injected by patients themselves at home.

Moreover, the phase 2 teplizumab study was conducted in people who had antibodies that placed them at high risk for type 1 diabetes, but those patients did not yet have the condition. They were identified because they had close relatives with type 1 diabetes and were enrolled in the federally funded TrialNet screening program.

Dr. Quattrin is now participating in an ongoing phase 3 study of teplizumab that involves patients newly diagnosed with type 1 diabetes.

A Janssen spokesperson said in an interview that the company isn’t planning to further develop golimumab for use in type 1 diabetes.

“Our focus is to apply insights from the phase 2 ... proof-of-concept study to progress what we believe are novel, immunologically targeted pipeline candidates in stage 2 disease or presymptomatic stages of type 1 diabetes, which is consistent with our mission to intercept and prevent type 1 diabetes,” the spokesperson said.

To identify more individuals at risk for type 1 diabetes beyond the close relatives of those who already have it, so as to be able to intervene at a presymptomatic stage, Janssen is organizing a public-private effort to advocate for routine population screening for type 1 diabetes–related autoantibodies.

Dr. Quattrin said: “Preserving some insulin is key. Having somebody with beta cell functioning still is an intermediate step to a cure and will make their life easier, and that’s what people should care about.”

Dr. Accili, who cofounded and leads a company working on a novel approach to type 1 diabetes treatment, writes in his editorial: “We should also be mindful that this treatment debate is first world–centric.

“Current treatments for type 1 diabetes require resources not readily available in most parts of the world, where something as simple as refrigeration of insulin can become a logistic nightmare. While combinations of [approaches] tailored to individual risk and potential benefits are likely to make inroads in clinical practice, the need for a simpler, safer, and equally effective alternative to insulin remains,” he wrote.

Dr. Quattrin is a researcher and consultant for Janssen and conducts clinical trials for Provention Bio, Opko, and Ascendis. Dr. Accili is founder and director of Forkhead Therapeutics.

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

The human monoclonal antibody golimumab (Simponi) preserved endogenous insulin secretion in patients with new-onset type 1 diabetes and reduced their exogenous insulin requirements at 1 year, newly published phase 2 data indicate.

Results from the multicenter, double-blind, placebo-controlled trial were first reported as a poster at the virtual American Diabetes Association 80th Scientific Sessions in June. They were published online Nov. 18 in the New England Journal of Medicine.

In the 52-week study of 84 children and adults with new-onset type 1 diabetes, those given golimumab injections every 2 weeks had significantly higher levels of C-peptide, a marker of insulin secretion, and required less injected or infused insulin than did those who received placebo injections. There were no treatment-associated serious adverse events.

Golimumab is a human monoclonal antibody specific for tumor necrosis factor–alpha. It is approved for the treatment of several autoimmune diseases, including rheumatoid arthritis and ulcerative colitis, in the United States, Europe, and elsewhere.
 

An intermediate step toward a cure

Although none of the patients were able to stop taking insulin entirely, the results have important clinical implications, lead author Teresa Quattrin, MD, said in an interview.

“People want a cure, but the fact is, a cure is not available yet. So, this is an intermediate step towards a cure.... There are advantages to being on a small insulin dose,” including lower rates of hypoglycemia and maintenance of intraportal insulin, said Dr. Quattrin, of the State University of New York at Buffalo.

But in an accompanying editorial, Domenico Accili, MD, points to potential risks from immunotherapy and from attempting additional interventions at an “emotionally fraught” time when patients and families are coping with the new diabetes diagnosis.

He said of golimumab, “the effect is actually very small. ... There’s nothing wrong in and of itself with improving those outcomes. I just wouldn’t assign them as game changers.”

If this or a similar immunotherapeutic intervention were approved for this indication, “I would tell patients it exists and let them make the decision whether they want to try it. I wouldn’t say you must try it,” said Dr. Accili, of the Columbia University Diabetes and Endocrinology Research Center, New York.
 

With golimumab, higher C-peptide, lower insulin requirement

Of the 84 patients, who ranged in age from 6 to 21 years, 56 were randomly assigned within 100 days of being diagnosed with type 1 diabetes to receive golimumab, and 28 were assigned to receive placebo injections, given every 2 weeks.

The drug resulted in lower insulin use (0.51U/Kg per day vs. 0.69 U/kg per day), and the increase in insulin use over 52 weeks was less with golimumab than with placebo (0.07 vs. 0.24 U/kg per day; P = .001).

The mean percent decrease of C-peptide production from baseline was 12% with golimumab versus 56% with placebo.

Although the mean number of overall hypoglycemic events was similar, the mean number of level 2 hypoglycemic events (<54 mg/dL) was 36% lower with golimumab (11.5 vs. 17.6). There were no severe cases of hypoglycemia in either group.

No severe or serious infections occurred in either group, although mild to moderate infections were reported in 71% with golimumab versus 61% with placebo. More patients in the golimumab group experienced a decrease in neutrophils (29% vs. 19%).
 

Immunotherapy: Which one, and when should it start?

These findings come on the heels of the 2019 landmark results with another monoclonal antibody, the investigational anti-CD3 teplizumab (PRV-031). Among patients at risk, a diagnosis of type 1 diabetes was delayed by 2 years, and continued benefit was seen at 3 years.

However, Dr. Quattrin said teplizumab is limited by the fact that it must be administered via a 14-day infusion, whereas golimumab can be injected by patients themselves at home.

Moreover, the phase 2 teplizumab study was conducted in people who had antibodies that placed them at high risk for type 1 diabetes, but those patients did not yet have the condition. They were identified because they had close relatives with type 1 diabetes and were enrolled in the federally funded TrialNet screening program.

Dr. Quattrin is now participating in an ongoing phase 3 study of teplizumab that involves patients newly diagnosed with type 1 diabetes.

A Janssen spokesperson said in an interview that the company isn’t planning to further develop golimumab for use in type 1 diabetes.

“Our focus is to apply insights from the phase 2 ... proof-of-concept study to progress what we believe are novel, immunologically targeted pipeline candidates in stage 2 disease or presymptomatic stages of type 1 diabetes, which is consistent with our mission to intercept and prevent type 1 diabetes,” the spokesperson said.

To identify more individuals at risk for type 1 diabetes beyond the close relatives of those who already have it, so as to be able to intervene at a presymptomatic stage, Janssen is organizing a public-private effort to advocate for routine population screening for type 1 diabetes–related autoantibodies.

Dr. Quattrin said: “Preserving some insulin is key. Having somebody with beta cell functioning still is an intermediate step to a cure and will make their life easier, and that’s what people should care about.”

Dr. Accili, who cofounded and leads a company working on a novel approach to type 1 diabetes treatment, writes in his editorial: “We should also be mindful that this treatment debate is first world–centric.

“Current treatments for type 1 diabetes require resources not readily available in most parts of the world, where something as simple as refrigeration of insulin can become a logistic nightmare. While combinations of [approaches] tailored to individual risk and potential benefits are likely to make inroads in clinical practice, the need for a simpler, safer, and equally effective alternative to insulin remains,” he wrote.

Dr. Quattrin is a researcher and consultant for Janssen and conducts clinical trials for Provention Bio, Opko, and Ascendis. Dr. Accili is founder and director of Forkhead Therapeutics.

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

The human monoclonal antibody golimumab (Simponi) preserved endogenous insulin secretion in patients with new-onset type 1 diabetes and reduced their exogenous insulin requirements at 1 year, newly published phase 2 data indicate.

Results from the multicenter, double-blind, placebo-controlled trial were first reported as a poster at the virtual American Diabetes Association 80th Scientific Sessions in June. They were published online Nov. 18 in the New England Journal of Medicine.

In the 52-week study of 84 children and adults with new-onset type 1 diabetes, those given golimumab injections every 2 weeks had significantly higher levels of C-peptide, a marker of insulin secretion, and required less injected or infused insulin than did those who received placebo injections. There were no treatment-associated serious adverse events.

Golimumab is a human monoclonal antibody specific for tumor necrosis factor–alpha. It is approved for the treatment of several autoimmune diseases, including rheumatoid arthritis and ulcerative colitis, in the United States, Europe, and elsewhere.
 

An intermediate step toward a cure

Although none of the patients were able to stop taking insulin entirely, the results have important clinical implications, lead author Teresa Quattrin, MD, said in an interview.

“People want a cure, but the fact is, a cure is not available yet. So, this is an intermediate step towards a cure.... There are advantages to being on a small insulin dose,” including lower rates of hypoglycemia and maintenance of intraportal insulin, said Dr. Quattrin, of the State University of New York at Buffalo.

But in an accompanying editorial, Domenico Accili, MD, points to potential risks from immunotherapy and from attempting additional interventions at an “emotionally fraught” time when patients and families are coping with the new diabetes diagnosis.

He said of golimumab, “the effect is actually very small. ... There’s nothing wrong in and of itself with improving those outcomes. I just wouldn’t assign them as game changers.”

If this or a similar immunotherapeutic intervention were approved for this indication, “I would tell patients it exists and let them make the decision whether they want to try it. I wouldn’t say you must try it,” said Dr. Accili, of the Columbia University Diabetes and Endocrinology Research Center, New York.
 

With golimumab, higher C-peptide, lower insulin requirement

Of the 84 patients, who ranged in age from 6 to 21 years, 56 were randomly assigned within 100 days of being diagnosed with type 1 diabetes to receive golimumab, and 28 were assigned to receive placebo injections, given every 2 weeks.

The drug resulted in lower insulin use (0.51U/Kg per day vs. 0.69 U/kg per day), and the increase in insulin use over 52 weeks was less with golimumab than with placebo (0.07 vs. 0.24 U/kg per day; P = .001).

The mean percent decrease of C-peptide production from baseline was 12% with golimumab versus 56% with placebo.

Although the mean number of overall hypoglycemic events was similar, the mean number of level 2 hypoglycemic events (<54 mg/dL) was 36% lower with golimumab (11.5 vs. 17.6). There were no severe cases of hypoglycemia in either group.

No severe or serious infections occurred in either group, although mild to moderate infections were reported in 71% with golimumab versus 61% with placebo. More patients in the golimumab group experienced a decrease in neutrophils (29% vs. 19%).
 

Immunotherapy: Which one, and when should it start?

These findings come on the heels of the 2019 landmark results with another monoclonal antibody, the investigational anti-CD3 teplizumab (PRV-031). Among patients at risk, a diagnosis of type 1 diabetes was delayed by 2 years, and continued benefit was seen at 3 years.

However, Dr. Quattrin said teplizumab is limited by the fact that it must be administered via a 14-day infusion, whereas golimumab can be injected by patients themselves at home.

Moreover, the phase 2 teplizumab study was conducted in people who had antibodies that placed them at high risk for type 1 diabetes, but those patients did not yet have the condition. They were identified because they had close relatives with type 1 diabetes and were enrolled in the federally funded TrialNet screening program.

Dr. Quattrin is now participating in an ongoing phase 3 study of teplizumab that involves patients newly diagnosed with type 1 diabetes.

A Janssen spokesperson said in an interview that the company isn’t planning to further develop golimumab for use in type 1 diabetes.

“Our focus is to apply insights from the phase 2 ... proof-of-concept study to progress what we believe are novel, immunologically targeted pipeline candidates in stage 2 disease or presymptomatic stages of type 1 diabetes, which is consistent with our mission to intercept and prevent type 1 diabetes,” the spokesperson said.

To identify more individuals at risk for type 1 diabetes beyond the close relatives of those who already have it, so as to be able to intervene at a presymptomatic stage, Janssen is organizing a public-private effort to advocate for routine population screening for type 1 diabetes–related autoantibodies.

Dr. Quattrin said: “Preserving some insulin is key. Having somebody with beta cell functioning still is an intermediate step to a cure and will make their life easier, and that’s what people should care about.”

Dr. Accili, who cofounded and leads a company working on a novel approach to type 1 diabetes treatment, writes in his editorial: “We should also be mindful that this treatment debate is first world–centric.

“Current treatments for type 1 diabetes require resources not readily available in most parts of the world, where something as simple as refrigeration of insulin can become a logistic nightmare. While combinations of [approaches] tailored to individual risk and potential benefits are likely to make inroads in clinical practice, the need for a simpler, safer, and equally effective alternative to insulin remains,” he wrote.

Dr. Quattrin is a researcher and consultant for Janssen and conducts clinical trials for Provention Bio, Opko, and Ascendis. Dr. Accili is founder and director of Forkhead Therapeutics.

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

Finerenone, the first nonsteroidal mineralocorticoid receptor antagonist to complete a phase 3 trial, showed cardiovascular benefits in patients with type 2 diabetes and chronic kidney disease, regardless of whether they entered the study with a history of cardiovascular disease, in follow-up analyses of the FIDELIO-DKD trial, which included 5,674 patients.

“Finerenone demonstrated benefits for primary and secondary cardiovascular disease protection,” said Gerasimos Filippatos, MD, at the American Heart Association scientific sessions. Finerenone treatment cut the rate of cardiovascular death, nonfatal MI or stroke, or heart failure hospitalization, when compared with placebo, by a relative 15% among patients with a history of cardiovascular disease (CVD), and by a relative 14% in patients without this history, differences that met a statistical test for consistency. But the absolute, drug-associated increments in benefit over placebo differed between the two CVD subgroups because of a sharp underlying difference in event rates.

In contrast, the analyses reported by Dr. Filippatos and associates from the FIDELIO-DKD study showed significant heterogeneity based on the presence or absence of CVD for the study’s primary endpoint, a composite renal metric that tallied the combined rate of death from renal causes, renal failure, or a sustained drop in estimated glomerular filtration rate of at least 40%. Researchers enrolled patients into FIDELIO-DKD based on having type 2 diabetes (T2D) and chronic kidney disease (CKD). The prevalence of a history of CVD was 46%.

Among patients with a history of CVD, the composite adverse CVD outcome occurred at a rate of 8.5/100 patient-years in patients on placebo and in 7.18/100 patients years among those on finerenone during a median of 2.6 years of follow-up, a 1.32/100–patient-year absolute between-group difference. Among patients in a primary prevention setting, incident CVD event rates during follow-up were roughly half that in the secondary prevention patients. The upshot was that, in the placebo group, the rate was 3.92/100 patient- years, and in those on finerenone was 3.43/100 patient-years, a 0.49/100–patient-year absolute difference.
 

CVD history produced heterogeneity for the primary endpoint

In the analysis that focused on the study’s primary, renal endpoint, among patients identified as having CVD at study entry, the outcome occurred at a rate of 9.06/100 patient-years in the placebo subgroup and at a rate of 6.6/100 patient years in those who received finerenone, a significant 30% relative risk reduction and an absolute between-group difference of 2.46/100 patient-years.

In contrast, among patients without a CVD history, the composite renal endpoint occurred at a rate of 9.1/100 patient-years in the placebo patients and 8.42/100 patient-years in those on finerenone, a 6% relative risk reduction that was not significant, and a 0.68/100–patient-year absolute difference. This disparity in the primary event rate between the two treatment arms reached statistical significance (P = .016), the investigators reported in the published version of the report in Circulation that simultaneously appeared online.

“The totality of evidence suggests that finerenone could be used in patients with T2D with or without a history of CVD,” explained Dr. Filippatos in an interview. “The P-interaction for the composite kidney outcome is significant, but it is not corrected for multiple testing; therefore, it might be a false-chance finding and must be interpreted cautiously.

Furthermore, in another prespecified kidney composite outcome the results were consistent in patients with and without a history of CVD. In sum, all the FIDELIO-DKD analyses so far are “suggestive of a beneficial effect in patients without a history of CVD.”

Despite these patients receiving guideline directed therapies, “there remains a high unmet medical need in patients with T2D and CKD,” added Dr. Filippatos, professor of cardiology at the University of Athens. “We use multiple treatments for patients with heart failure, and we should use the same mindset for treating patients with T2D and CKD. The costs of dialysis and kidney transplant are very high, so it is important to consider options that slow progression of CKD in these patients.”

In FIDELIO-DKD, virtually all patients were on background therapy with a renin-angiotensin-system (RAS) inhibitor, so the trial’s results suggest that treatment should at least involve dual therapy with finerenone and a RAS inhibitor. Fewer than 5% were on background therapy with a sodium-glucose cotransporter 2 (SGLT2) inhibitor, a drug class recently established as another key agent for treating CKD in patients with T2D, setting up the prospect for triple therapy, although this approach has not yet undergone prospective testing.

Combining RAS inhibition, finerenone, and an SGLT2 inhibitor is “potentially a marriage made in diabetes heaven,” commented Deepak L. Bhatt, MD, a professor of medicine at Harvard Medical School, Boston, who has not participated in finerenone studies.

Finerenone looks better for safety

Regardless of subgroup analyses based on history of CVD, the findings from all patients enrolled in FIDELIO-DKD were positive for the both the primary renal outcome and key secondary outcome of composite CVD events. In the total randomized cohort, treatment with finerenone on top of optimized treatment with an ACE inhibitor or angiotensin receptor blocker (RAS inhibition) led to a significant 18% relative risk reduction, compared with placebo, for the primary renal endpoint, and a significant 14% relative drop in the key secondary CVD outcome. Those results were published in October in the New England Journal of Medicine.

[email protected]

Finerenone, the first nonsteroidal mineralocorticoid receptor antagonist to complete a phase 3 trial, showed cardiovascular benefits in patients with type 2 diabetes and chronic kidney disease, regardless of whether they entered the study with a history of cardiovascular disease, in follow-up analyses of the FIDELIO-DKD trial, which included 5,674 patients.

“Finerenone demonstrated benefits for primary and secondary cardiovascular disease protection,” said Gerasimos Filippatos, MD, at the American Heart Association scientific sessions. Finerenone treatment cut the rate of cardiovascular death, nonfatal MI or stroke, or heart failure hospitalization, when compared with placebo, by a relative 15% among patients with a history of cardiovascular disease (CVD), and by a relative 14% in patients without this history, differences that met a statistical test for consistency. But the absolute, drug-associated increments in benefit over placebo differed between the two CVD subgroups because of a sharp underlying difference in event rates.

In contrast, the analyses reported by Dr. Filippatos and associates from the FIDELIO-DKD study showed significant heterogeneity based on the presence or absence of CVD for the study’s primary endpoint, a composite renal metric that tallied the combined rate of death from renal causes, renal failure, or a sustained drop in estimated glomerular filtration rate of at least 40%. Researchers enrolled patients into FIDELIO-DKD based on having type 2 diabetes (T2D) and chronic kidney disease (CKD). The prevalence of a history of CVD was 46%.

Among patients with a history of CVD, the composite adverse CVD outcome occurred at a rate of 8.5/100 patient-years in patients on placebo and in 7.18/100 patients years among those on finerenone during a median of 2.6 years of follow-up, a 1.32/100–patient-year absolute between-group difference. Among patients in a primary prevention setting, incident CVD event rates during follow-up were roughly half that in the secondary prevention patients. The upshot was that, in the placebo group, the rate was 3.92/100 patient- years, and in those on finerenone was 3.43/100 patient-years, a 0.49/100–patient-year absolute difference.
 

CVD history produced heterogeneity for the primary endpoint

In the analysis that focused on the study’s primary, renal endpoint, among patients identified as having CVD at study entry, the outcome occurred at a rate of 9.06/100 patient-years in the placebo subgroup and at a rate of 6.6/100 patient years in those who received finerenone, a significant 30% relative risk reduction and an absolute between-group difference of 2.46/100 patient-years.

In contrast, among patients without a CVD history, the composite renal endpoint occurred at a rate of 9.1/100 patient-years in the placebo patients and 8.42/100 patient-years in those on finerenone, a 6% relative risk reduction that was not significant, and a 0.68/100–patient-year absolute difference. This disparity in the primary event rate between the two treatment arms reached statistical significance (P = .016), the investigators reported in the published version of the report in Circulation that simultaneously appeared online.

“The totality of evidence suggests that finerenone could be used in patients with T2D with or without a history of CVD,” explained Dr. Filippatos in an interview. “The P-interaction for the composite kidney outcome is significant, but it is not corrected for multiple testing; therefore, it might be a false-chance finding and must be interpreted cautiously.

Furthermore, in another prespecified kidney composite outcome the results were consistent in patients with and without a history of CVD. In sum, all the FIDELIO-DKD analyses so far are “suggestive of a beneficial effect in patients without a history of CVD.”

Despite these patients receiving guideline directed therapies, “there remains a high unmet medical need in patients with T2D and CKD,” added Dr. Filippatos, professor of cardiology at the University of Athens. “We use multiple treatments for patients with heart failure, and we should use the same mindset for treating patients with T2D and CKD. The costs of dialysis and kidney transplant are very high, so it is important to consider options that slow progression of CKD in these patients.”

In FIDELIO-DKD, virtually all patients were on background therapy with a renin-angiotensin-system (RAS) inhibitor, so the trial’s results suggest that treatment should at least involve dual therapy with finerenone and a RAS inhibitor. Fewer than 5% were on background therapy with a sodium-glucose cotransporter 2 (SGLT2) inhibitor, a drug class recently established as another key agent for treating CKD in patients with T2D, setting up the prospect for triple therapy, although this approach has not yet undergone prospective testing.

Combining RAS inhibition, finerenone, and an SGLT2 inhibitor is “potentially a marriage made in diabetes heaven,” commented Deepak L. Bhatt, MD, a professor of medicine at Harvard Medical School, Boston, who has not participated in finerenone studies.

Finerenone looks better for safety

Regardless of subgroup analyses based on history of CVD, the findings from all patients enrolled in FIDELIO-DKD were positive for the both the primary renal outcome and key secondary outcome of composite CVD events. In the total randomized cohort, treatment with finerenone on top of optimized treatment with an ACE inhibitor or angiotensin receptor blocker (RAS inhibition) led to a significant 18% relative risk reduction, compared with placebo, for the primary renal endpoint, and a significant 14% relative drop in the key secondary CVD outcome. Those results were published in October in the New England Journal of Medicine.

[email protected]

Finerenone, the first nonsteroidal mineralocorticoid receptor antagonist to complete a phase 3 trial, showed cardiovascular benefits in patients with type 2 diabetes and chronic kidney disease, regardless of whether they entered the study with a history of cardiovascular disease, in follow-up analyses of the FIDELIO-DKD trial, which included 5,674 patients.

“Finerenone demonstrated benefits for primary and secondary cardiovascular disease protection,” said Gerasimos Filippatos, MD, at the American Heart Association scientific sessions. Finerenone treatment cut the rate of cardiovascular death, nonfatal MI or stroke, or heart failure hospitalization, when compared with placebo, by a relative 15% among patients with a history of cardiovascular disease (CVD), and by a relative 14% in patients without this history, differences that met a statistical test for consistency. But the absolute, drug-associated increments in benefit over placebo differed between the two CVD subgroups because of a sharp underlying difference in event rates.

In contrast, the analyses reported by Dr. Filippatos and associates from the FIDELIO-DKD study showed significant heterogeneity based on the presence or absence of CVD for the study’s primary endpoint, a composite renal metric that tallied the combined rate of death from renal causes, renal failure, or a sustained drop in estimated glomerular filtration rate of at least 40%. Researchers enrolled patients into FIDELIO-DKD based on having type 2 diabetes (T2D) and chronic kidney disease (CKD). The prevalence of a history of CVD was 46%.

Among patients with a history of CVD, the composite adverse CVD outcome occurred at a rate of 8.5/100 patient-years in patients on placebo and in 7.18/100 patients years among those on finerenone during a median of 2.6 years of follow-up, a 1.32/100–patient-year absolute between-group difference. Among patients in a primary prevention setting, incident CVD event rates during follow-up were roughly half that in the secondary prevention patients. The upshot was that, in the placebo group, the rate was 3.92/100 patient- years, and in those on finerenone was 3.43/100 patient-years, a 0.49/100–patient-year absolute difference.
 

CVD history produced heterogeneity for the primary endpoint

In the analysis that focused on the study’s primary, renal endpoint, among patients identified as having CVD at study entry, the outcome occurred at a rate of 9.06/100 patient-years in the placebo subgroup and at a rate of 6.6/100 patient years in those who received finerenone, a significant 30% relative risk reduction and an absolute between-group difference of 2.46/100 patient-years.

In contrast, among patients without a CVD history, the composite renal endpoint occurred at a rate of 9.1/100 patient-years in the placebo patients and 8.42/100 patient-years in those on finerenone, a 6% relative risk reduction that was not significant, and a 0.68/100–patient-year absolute difference. This disparity in the primary event rate between the two treatment arms reached statistical significance (P = .016), the investigators reported in the published version of the report in Circulation that simultaneously appeared online.

“The totality of evidence suggests that finerenone could be used in patients with T2D with or without a history of CVD,” explained Dr. Filippatos in an interview. “The P-interaction for the composite kidney outcome is significant, but it is not corrected for multiple testing; therefore, it might be a false-chance finding and must be interpreted cautiously.

Furthermore, in another prespecified kidney composite outcome the results were consistent in patients with and without a history of CVD. In sum, all the FIDELIO-DKD analyses so far are “suggestive of a beneficial effect in patients without a history of CVD.”

Despite these patients receiving guideline directed therapies, “there remains a high unmet medical need in patients with T2D and CKD,” added Dr. Filippatos, professor of cardiology at the University of Athens. “We use multiple treatments for patients with heart failure, and we should use the same mindset for treating patients with T2D and CKD. The costs of dialysis and kidney transplant are very high, so it is important to consider options that slow progression of CKD in these patients.”

In FIDELIO-DKD, virtually all patients were on background therapy with a renin-angiotensin-system (RAS) inhibitor, so the trial’s results suggest that treatment should at least involve dual therapy with finerenone and a RAS inhibitor. Fewer than 5% were on background therapy with a sodium-glucose cotransporter 2 (SGLT2) inhibitor, a drug class recently established as another key agent for treating CKD in patients with T2D, setting up the prospect for triple therapy, although this approach has not yet undergone prospective testing.

Combining RAS inhibition, finerenone, and an SGLT2 inhibitor is “potentially a marriage made in diabetes heaven,” commented Deepak L. Bhatt, MD, a professor of medicine at Harvard Medical School, Boston, who has not participated in finerenone studies.

Finerenone looks better for safety

Regardless of subgroup analyses based on history of CVD, the findings from all patients enrolled in FIDELIO-DKD were positive for the both the primary renal outcome and key secondary outcome of composite CVD events. In the total randomized cohort, treatment with finerenone on top of optimized treatment with an ACE inhibitor or angiotensin receptor blocker (RAS inhibition) led to a significant 18% relative risk reduction, compared with placebo, for the primary renal endpoint, and a significant 14% relative drop in the key secondary CVD outcome. Those results were published in October in the New England Journal of Medicine.

[email protected]

From T1D Exchange, Boston, MA (Dr. Ebekozien, Dr. Odugbesan, and Nicole Rioles); Barbara Davis Center, University of Colorado, Boulder, CO (Dr. Majidi); Cincinnati Children’s Hospital Medical Center, Cincinnati, OH (Dr. Jones); and Nationwide Children’s Hospital, Columbus, OH (Dr. Kamboj)

Health equity has been described as the opportunity for all persons to obtain their highest level of health possible.¹ Unfortunately, even with advances in technology and care practices, disparities persist in health care outcomes. Disparities in prevalence, prognosis, and outcomes still exist in diabetes management.² Non-Hispanic Black and/or Hispanic populations are more likely to have worse glycemic control,^3,4 to encounter more barriers in access to care,⁵ and to have higher levels of acute complications,⁴ and to use advanced technologies less frequently.⁴ Diabetes is one of the preexisting conditions that increase morbidity and mortality in COVID-19.^6,7 Unfortunately, adverse outcomes from COVID-19 also disproportionately impact a specific vulnerable population.^8,9 The urgent transition to managing diabetes remotely during the COVID-19 pandemic may exacerbate long-term inequities because some vulnerable patients might not have access to technology devices necessary for effective remote management.

Here, we describe how quality improvement (QI) tools and principles can be adapted into a framework for advancing health equity. Specifically, we describe a 10-step framework that may be applied in diabetes care management to achieve improvement, using a hypothetical example of increasing use of continuous glucose monitors (CGMs) among patients with type 1 diabetes mellitus.¹⁰ This framework was developed to address the literature gap on practical ways health care providers can address inequities using QI principles, and was implemented by 1 of the authors at a local public health department.¹¹ The framework’s iterative and comprehensive design makes it ideal for addressing inequities in chronic diseases like diabetes, which have multiple root causes with no easy solutions. The improvement program pilot received a national model practice award.^11,12

10-Step Framework

Step 1: Review program/project baseline data for existing disparities. Diabetes programs and routine QI processes encourage existing data review to determine how effective the current system is working and if the existing process has a predictable pattern.^13,14 Our equity-revised framework proposes a more in-depth review to stratify baseline data based on factors that might contribute to inequities, including race, age, income levels, ethnicity, language, sexual orientation, insurance type, and zip code. This process will identify patients not served or unfairly impacted due to socioeconomic factors. For example, using the hypothetical example of improving CGM use, a team completes a preliminary data review and determines that baseline CGM use is 30% in the clinic population. However, in a review to assess for disparities, they also identify that patients on public insurance have a significantly lower CGM uptake of only 15%.

Step 2: Build an equitable project team, including patients with lived experiences. Routine projects typically have clinicians, administrative staff, and analytic staff as members of their team. In a post-COVID-19 world, every team needs to learn directly from people impacted and share decision-making power. The traditional approach to receiving feedback has generally been to collect responses using surveys or focus groups. We propose that individuals/families who are disproportionately impacted be included as active members on QI teams. For example, in the hypothetical example of the CGM project, team members would include patients with type 1 diabetes who are on public insurance and their families.

Step 3: Develop equity-focused goals. The traditional program involves the development of aims that are SMART (specific, measurable, achievable, realistic, time-bound).¹⁵ The proposed framework encourages the inclusion of equity-revised goals (SMARTer) using insights from Steps 1 and 2. For example, your typical smart goal might be to increase the percentage of patients using CGM by 20% in 6 months, while a SMARTer goal would be to increase the proportion of patients using CGM by 20% and reduce the disparities among public and private insurance patients by 30% in 6 months.

Step 4: Identify inequitable processes/pathways. Traditional QI programs might use a process map or flow diagram to depict the current state of a process visually.¹⁶ For example, in Figure 1, the process map diagram depicts some differences in the process for patients with public insurance as opposed to those with private insurance. The framework also advocates for using visual tools like process maps to depict how there might be inequitable pathways in a system. Visually identifying inequitable processes/pathways can help a team see barriers, address challenges, and pilot innovative solutions.

Step 5: Identify how socioeconomic factors are contributing to the current outcome. A good understanding of factors that contribute to the problem is an essential part of finding fundamental solutions. The fishbone diagram¹⁶ is a visualization tool used to identify contributing factors. When investigating contributing factors, it is commonplace to identify factors that fit into 1 of 5 categories: people, process, place, product, and policies (5 Ps). An equity-focused process will include equity as a new major factor category, and the socioeconomic impacts that contribute to inequities will be brainstormed and visually represented. For example, in the hypothetical CGM improvement example, an equity contributing factor is extensive CGM application paperwork for patients on public insurance as compared to those on private insurance. Figure 2 shows equity integrated into a fishbone diagram.

Step 6: Brainstorm possible improvements. Potential improvement ideas for the hypothetical CGM example might include redesigning the existing workflow, piloting CGM educational classes, and using a CGM barrier assessment tool to identify and address barriers to adoption.

Step 7: Use the decision matrix with equity as a criterion to prioritize improvement ideas. Decision matrix¹⁵ is a great tool that is frequently used to help teams prioritize potential ideas. Project team members must decide what criteria are important in prioritizing ideas to implement. Common criteria include implementation cost, time, and resources, but in addition to the common criteria, the team can specify ”impact on equity” as one of their criteria, alongside other standard criteria like impact.

Step 8: Test one small change at a time. This step is consistent with other traditional improvement models using the Plan, Do, Study, Act (PDSA) model for improvement.¹⁷ During this phase, the team should make predictions on the expected impact of the intervention on outcomes. For example, in the hypothetical example, the team predicts that testing and expanding CGM classes will reduce disparities among public versus private health insurance users by 5% and increase overall CGM uptake by 10%.

Step 9: Measure and compare results with predictions to identify inequitable practices or consequences. After each test of change, the team should review the results, including implementation cost considerations, and compare them to the predictions in the earlier step. The team should also document the potential reasons why their predictions were correct or inaccurate, and whether there were any unforeseen outcomes from the intervention.

Step 10: Celebrate small wins and repeat the process. Making fundamental and equitable changes takes time. This framework aimed at undoing inequities, particularly those inequities that have been amplified by the COVID-19 pandemic, is iterative and ongoing.^18,19 Not every test of change will impact the outcome or reduce inequity, but over time, each change will impact the next, generating sustainable effects.

Conclusion

There are ongoing studies examining the adverse outcomes and potential health inequities for patients with diabetes impacted by COVID-19.²⁰ Health care providers need to plan for post-COVID-19 care, keeping in mind that the pandemic might worsen already existing health disparities in diabetes management.^3,4,21 This work will involve an intentional approach to address structural and systemic racism.²² Therefore, the work of building health equity solutions must be rooted in racial justice, economic equity, and equitable access to health care and education.

Initiatives like this are currently being funded through foundation grants as well as state and federal research or program grants. Regional and national payors, including the Centers for Medicare & Medicaid Services, are currently piloting long-term sustainable funding models through programs like accountable care organizations and the Accountable Health Communities Model.²³

Health systems can successfully address health equity and racial justice, using a framework as described above, to identify determinants of health, develop policies to expand access to care for the most vulnerable patients, distribute decision-making power, and train staff by naming structural racism as a driver of health inequities.

Acknowledgment: The authors acknowledge the contributions of patients, families, diabetes care teams, and collaborators within the T1D Exchange Quality Improvement Collaborative, who continually seek to improve care and outcomes for people living with diabetes.

Corresponding author: Osagie Ebekozien, MD, 11 Avenue De La Fayette, Boston, MA 02115; [email protected].

Financial disclosures: None.

Funding: T1D Exchange QI Collaborative is funded by The Leona M. and Harry B. Helmsley Charitable Trust. No specific funding was received for this manuscript or the development of this framework.

Keywords: type 1 diabetes; quality improvement; QI framework; racial justice; health disparities.

From T1D Exchange, Boston, MA (Dr. Ebekozien, Dr. Odugbesan, and Nicole Rioles); Barbara Davis Center, University of Colorado, Boulder, CO (Dr. Majidi); Cincinnati Children’s Hospital Medical Center, Cincinnati, OH (Dr. Jones); and Nationwide Children’s Hospital, Columbus, OH (Dr. Kamboj)

Health equity has been described as the opportunity for all persons to obtain their highest level of health possible.¹ Unfortunately, even with advances in technology and care practices, disparities persist in health care outcomes. Disparities in prevalence, prognosis, and outcomes still exist in diabetes management.² Non-Hispanic Black and/or Hispanic populations are more likely to have worse glycemic control,^3,4 to encounter more barriers in access to care,⁵ and to have higher levels of acute complications,⁴ and to use advanced technologies less frequently.⁴ Diabetes is one of the preexisting conditions that increase morbidity and mortality in COVID-19.^6,7 Unfortunately, adverse outcomes from COVID-19 also disproportionately impact a specific vulnerable population.^8,9 The urgent transition to managing diabetes remotely during the COVID-19 pandemic may exacerbate long-term inequities because some vulnerable patients might not have access to technology devices necessary for effective remote management.

Here, we describe how quality improvement (QI) tools and principles can be adapted into a framework for advancing health equity. Specifically, we describe a 10-step framework that may be applied in diabetes care management to achieve improvement, using a hypothetical example of increasing use of continuous glucose monitors (CGMs) among patients with type 1 diabetes mellitus.¹⁰ This framework was developed to address the literature gap on practical ways health care providers can address inequities using QI principles, and was implemented by 1 of the authors at a local public health department.¹¹ The framework’s iterative and comprehensive design makes it ideal for addressing inequities in chronic diseases like diabetes, which have multiple root causes with no easy solutions. The improvement program pilot received a national model practice award.^11,12

10-Step Framework

Step 1: Review program/project baseline data for existing disparities. Diabetes programs and routine QI processes encourage existing data review to determine how effective the current system is working and if the existing process has a predictable pattern.^13,14 Our equity-revised framework proposes a more in-depth review to stratify baseline data based on factors that might contribute to inequities, including race, age, income levels, ethnicity, language, sexual orientation, insurance type, and zip code. This process will identify patients not served or unfairly impacted due to socioeconomic factors. For example, using the hypothetical example of improving CGM use, a team completes a preliminary data review and determines that baseline CGM use is 30% in the clinic population. However, in a review to assess for disparities, they also identify that patients on public insurance have a significantly lower CGM uptake of only 15%.

Step 2: Build an equitable project team, including patients with lived experiences. Routine projects typically have clinicians, administrative staff, and analytic staff as members of their team. In a post-COVID-19 world, every team needs to learn directly from people impacted and share decision-making power. The traditional approach to receiving feedback has generally been to collect responses using surveys or focus groups. We propose that individuals/families who are disproportionately impacted be included as active members on QI teams. For example, in the hypothetical example of the CGM project, team members would include patients with type 1 diabetes who are on public insurance and their families.

Step 3: Develop equity-focused goals. The traditional program involves the development of aims that are SMART (specific, measurable, achievable, realistic, time-bound).¹⁵ The proposed framework encourages the inclusion of equity-revised goals (SMARTer) using insights from Steps 1 and 2. For example, your typical smart goal might be to increase the percentage of patients using CGM by 20% in 6 months, while a SMARTer goal would be to increase the proportion of patients using CGM by 20% and reduce the disparities among public and private insurance patients by 30% in 6 months.

Step 4: Identify inequitable processes/pathways. Traditional QI programs might use a process map or flow diagram to depict the current state of a process visually.¹⁶ For example, in Figure 1, the process map diagram depicts some differences in the process for patients with public insurance as opposed to those with private insurance. The framework also advocates for using visual tools like process maps to depict how there might be inequitable pathways in a system. Visually identifying inequitable processes/pathways can help a team see barriers, address challenges, and pilot innovative solutions.

Step 5: Identify how socioeconomic factors are contributing to the current outcome. A good understanding of factors that contribute to the problem is an essential part of finding fundamental solutions. The fishbone diagram¹⁶ is a visualization tool used to identify contributing factors. When investigating contributing factors, it is commonplace to identify factors that fit into 1 of 5 categories: people, process, place, product, and policies (5 Ps). An equity-focused process will include equity as a new major factor category, and the socioeconomic impacts that contribute to inequities will be brainstormed and visually represented. For example, in the hypothetical CGM improvement example, an equity contributing factor is extensive CGM application paperwork for patients on public insurance as compared to those on private insurance. Figure 2 shows equity integrated into a fishbone diagram.

Step 6: Brainstorm possible improvements. Potential improvement ideas for the hypothetical CGM example might include redesigning the existing workflow, piloting CGM educational classes, and using a CGM barrier assessment tool to identify and address barriers to adoption.

Step 7: Use the decision matrix with equity as a criterion to prioritize improvement ideas. Decision matrix¹⁵ is a great tool that is frequently used to help teams prioritize potential ideas. Project team members must decide what criteria are important in prioritizing ideas to implement. Common criteria include implementation cost, time, and resources, but in addition to the common criteria, the team can specify ”impact on equity” as one of their criteria, alongside other standard criteria like impact.

Step 8: Test one small change at a time. This step is consistent with other traditional improvement models using the Plan, Do, Study, Act (PDSA) model for improvement.¹⁷ During this phase, the team should make predictions on the expected impact of the intervention on outcomes. For example, in the hypothetical example, the team predicts that testing and expanding CGM classes will reduce disparities among public versus private health insurance users by 5% and increase overall CGM uptake by 10%.

Step 9: Measure and compare results with predictions to identify inequitable practices or consequences. After each test of change, the team should review the results, including implementation cost considerations, and compare them to the predictions in the earlier step. The team should also document the potential reasons why their predictions were correct or inaccurate, and whether there were any unforeseen outcomes from the intervention.

Step 10: Celebrate small wins and repeat the process. Making fundamental and equitable changes takes time. This framework aimed at undoing inequities, particularly those inequities that have been amplified by the COVID-19 pandemic, is iterative and ongoing.^18,19 Not every test of change will impact the outcome or reduce inequity, but over time, each change will impact the next, generating sustainable effects.

Conclusion

There are ongoing studies examining the adverse outcomes and potential health inequities for patients with diabetes impacted by COVID-19.²⁰ Health care providers need to plan for post-COVID-19 care, keeping in mind that the pandemic might worsen already existing health disparities in diabetes management.^3,4,21 This work will involve an intentional approach to address structural and systemic racism.²² Therefore, the work of building health equity solutions must be rooted in racial justice, economic equity, and equitable access to health care and education.

Initiatives like this are currently being funded through foundation grants as well as state and federal research or program grants. Regional and national payors, including the Centers for Medicare & Medicaid Services, are currently piloting long-term sustainable funding models through programs like accountable care organizations and the Accountable Health Communities Model.²³

Health systems can successfully address health equity and racial justice, using a framework as described above, to identify determinants of health, develop policies to expand access to care for the most vulnerable patients, distribute decision-making power, and train staff by naming structural racism as a driver of health inequities.

Acknowledgment: The authors acknowledge the contributions of patients, families, diabetes care teams, and collaborators within the T1D Exchange Quality Improvement Collaborative, who continually seek to improve care and outcomes for people living with diabetes.

Corresponding author: Osagie Ebekozien, MD, 11 Avenue De La Fayette, Boston, MA 02115; [email protected].

Financial disclosures: None.

Funding: T1D Exchange QI Collaborative is funded by The Leona M. and Harry B. Helmsley Charitable Trust. No specific funding was received for this manuscript or the development of this framework.

Keywords: type 1 diabetes; quality improvement; QI framework; racial justice; health disparities.

From T1D Exchange, Boston, MA (Dr. Ebekozien, Dr. Odugbesan, and Nicole Rioles); Barbara Davis Center, University of Colorado, Boulder, CO (Dr. Majidi); Cincinnati Children’s Hospital Medical Center, Cincinnati, OH (Dr. Jones); and Nationwide Children’s Hospital, Columbus, OH (Dr. Kamboj)

Health equity has been described as the opportunity for all persons to obtain their highest level of health possible.¹ Unfortunately, even with advances in technology and care practices, disparities persist in health care outcomes. Disparities in prevalence, prognosis, and outcomes still exist in diabetes management.² Non-Hispanic Black and/or Hispanic populations are more likely to have worse glycemic control,^3,4 to encounter more barriers in access to care,⁵ and to have higher levels of acute complications,⁴ and to use advanced technologies less frequently.⁴ Diabetes is one of the preexisting conditions that increase morbidity and mortality in COVID-19.^6,7 Unfortunately, adverse outcomes from COVID-19 also disproportionately impact a specific vulnerable population.^8,9 The urgent transition to managing diabetes remotely during the COVID-19 pandemic may exacerbate long-term inequities because some vulnerable patients might not have access to technology devices necessary for effective remote management.

Here, we describe how quality improvement (QI) tools and principles can be adapted into a framework for advancing health equity. Specifically, we describe a 10-step framework that may be applied in diabetes care management to achieve improvement, using a hypothetical example of increasing use of continuous glucose monitors (CGMs) among patients with type 1 diabetes mellitus.¹⁰ This framework was developed to address the literature gap on practical ways health care providers can address inequities using QI principles, and was implemented by 1 of the authors at a local public health department.¹¹ The framework’s iterative and comprehensive design makes it ideal for addressing inequities in chronic diseases like diabetes, which have multiple root causes with no easy solutions. The improvement program pilot received a national model practice award.^11,12

10-Step Framework

Step 1: Review program/project baseline data for existing disparities. Diabetes programs and routine QI processes encourage existing data review to determine how effective the current system is working and if the existing process has a predictable pattern.^13,14 Our equity-revised framework proposes a more in-depth review to stratify baseline data based on factors that might contribute to inequities, including race, age, income levels, ethnicity, language, sexual orientation, insurance type, and zip code. This process will identify patients not served or unfairly impacted due to socioeconomic factors. For example, using the hypothetical example of improving CGM use, a team completes a preliminary data review and determines that baseline CGM use is 30% in the clinic population. However, in a review to assess for disparities, they also identify that patients on public insurance have a significantly lower CGM uptake of only 15%.

Step 2: Build an equitable project team, including patients with lived experiences. Routine projects typically have clinicians, administrative staff, and analytic staff as members of their team. In a post-COVID-19 world, every team needs to learn directly from people impacted and share decision-making power. The traditional approach to receiving feedback has generally been to collect responses using surveys or focus groups. We propose that individuals/families who are disproportionately impacted be included as active members on QI teams. For example, in the hypothetical example of the CGM project, team members would include patients with type 1 diabetes who are on public insurance and their families.

Step 3: Develop equity-focused goals. The traditional program involves the development of aims that are SMART (specific, measurable, achievable, realistic, time-bound).¹⁵ The proposed framework encourages the inclusion of equity-revised goals (SMARTer) using insights from Steps 1 and 2. For example, your typical smart goal might be to increase the percentage of patients using CGM by 20% in 6 months, while a SMARTer goal would be to increase the proportion of patients using CGM by 20% and reduce the disparities among public and private insurance patients by 30% in 6 months.

Step 4: Identify inequitable processes/pathways. Traditional QI programs might use a process map or flow diagram to depict the current state of a process visually.¹⁶ For example, in Figure 1, the process map diagram depicts some differences in the process for patients with public insurance as opposed to those with private insurance. The framework also advocates for using visual tools like process maps to depict how there might be inequitable pathways in a system. Visually identifying inequitable processes/pathways can help a team see barriers, address challenges, and pilot innovative solutions.

Step 5: Identify how socioeconomic factors are contributing to the current outcome. A good understanding of factors that contribute to the problem is an essential part of finding fundamental solutions. The fishbone diagram¹⁶ is a visualization tool used to identify contributing factors. When investigating contributing factors, it is commonplace to identify factors that fit into 1 of 5 categories: people, process, place, product, and policies (5 Ps). An equity-focused process will include equity as a new major factor category, and the socioeconomic impacts that contribute to inequities will be brainstormed and visually represented. For example, in the hypothetical CGM improvement example, an equity contributing factor is extensive CGM application paperwork for patients on public insurance as compared to those on private insurance. Figure 2 shows equity integrated into a fishbone diagram.

Step 6: Brainstorm possible improvements. Potential improvement ideas for the hypothetical CGM example might include redesigning the existing workflow, piloting CGM educational classes, and using a CGM barrier assessment tool to identify and address barriers to adoption.

Step 7: Use the decision matrix with equity as a criterion to prioritize improvement ideas. Decision matrix¹⁵ is a great tool that is frequently used to help teams prioritize potential ideas. Project team members must decide what criteria are important in prioritizing ideas to implement. Common criteria include implementation cost, time, and resources, but in addition to the common criteria, the team can specify ”impact on equity” as one of their criteria, alongside other standard criteria like impact.

Step 8: Test one small change at a time. This step is consistent with other traditional improvement models using the Plan, Do, Study, Act (PDSA) model for improvement.¹⁷ During this phase, the team should make predictions on the expected impact of the intervention on outcomes. For example, in the hypothetical example, the team predicts that testing and expanding CGM classes will reduce disparities among public versus private health insurance users by 5% and increase overall CGM uptake by 10%.

Step 9: Measure and compare results with predictions to identify inequitable practices or consequences. After each test of change, the team should review the results, including implementation cost considerations, and compare them to the predictions in the earlier step. The team should also document the potential reasons why their predictions were correct or inaccurate, and whether there were any unforeseen outcomes from the intervention.

Step 10: Celebrate small wins and repeat the process. Making fundamental and equitable changes takes time. This framework aimed at undoing inequities, particularly those inequities that have been amplified by the COVID-19 pandemic, is iterative and ongoing.^18,19 Not every test of change will impact the outcome or reduce inequity, but over time, each change will impact the next, generating sustainable effects.

Conclusion

There are ongoing studies examining the adverse outcomes and potential health inequities for patients with diabetes impacted by COVID-19.²⁰ Health care providers need to plan for post-COVID-19 care, keeping in mind that the pandemic might worsen already existing health disparities in diabetes management.^3,4,21 This work will involve an intentional approach to address structural and systemic racism.²² Therefore, the work of building health equity solutions must be rooted in racial justice, economic equity, and equitable access to health care and education.

Initiatives like this are currently being funded through foundation grants as well as state and federal research or program grants. Regional and national payors, including the Centers for Medicare & Medicaid Services, are currently piloting long-term sustainable funding models through programs like accountable care organizations and the Accountable Health Communities Model.²³

Health systems can successfully address health equity and racial justice, using a framework as described above, to identify determinants of health, develop policies to expand access to care for the most vulnerable patients, distribute decision-making power, and train staff by naming structural racism as a driver of health inequities.

Acknowledgment: The authors acknowledge the contributions of patients, families, diabetes care teams, and collaborators within the T1D Exchange Quality Improvement Collaborative, who continually seek to improve care and outcomes for people living with diabetes.

Corresponding author: Osagie Ebekozien, MD, 11 Avenue De La Fayette, Boston, MA 02115; [email protected].

Financial disclosures: None.

Funding: T1D Exchange QI Collaborative is funded by The Leona M. and Harry B. Helmsley Charitable Trust. No specific funding was received for this manuscript or the development of this framework.

Keywords: type 1 diabetes; quality improvement; QI framework; racial justice; health disparities.