Diabetes

This transcript has been edited for clarity.

I’m Dr. Neil Skolnik. Today we’re going to talk about the consensus report by the American Diabetes Association and the European Association for the Study of Diabetes on the management of hyperglycemia.

A lot has changed in this consensus statement. It covers a lot of ground. We’re going to focus today on pharmacologic management.

After lifestyle modifications, metformin is no longer the go-to drug for every patient in the management of hyperglycemia. It is recommended that we assess each patient’s personal characteristics in deciding what medication to prescribe. For patients at high cardiorenal risk, refer to the left side of the algorithm and to the right side for all other patients.

American Diabetes Association

• Very high efficacy for glucose lowering: dulaglutide at a high dose, semaglutide, tirzepatide, insulin, or combination injectable agents (GLP-1 receptor agonist/insulin combinations).
• High glucose-lowering efficacy: a GLP-1 receptor agonist not already mentioned, metformin, SGLT-2 inhibitors, sulfonylureas, thiazolidinediones.
• Intermediate glucose lowering efficacy: dipeptidyl peptidase 4 (DPP-4) inhibitors.

Weight management. For weight management, lifestyle modification (diet and exercise) is important. If lifestyle modification alone is insufficient, consider either a medication that specifically helps with weight management or metabolic surgery.

We particularly want to focus on weight management in patients who have complications from obesity. What would those complications be? Sleep apnea, hip or knee pain from arthritis, back pain – that is, biomechanical complications of obesity or nonalcoholic fatty liver disease. Medications for weight loss are listed by degree of efficacy:

• Very high efficacy for weight loss: semaglutide, tirzepatide.
• High efficacy for weight loss: dulaglutide and liraglutide.
• Intermediate for weight loss: GLP-1 receptor agonist (not listed above), SGLT-2 inhibitor.
• Neutral for weight loss: DPP-4 inhibitors and metformin.

Where does insulin fit in? If patients present with a very high A1c, if they are on other medications and their A1c is still not to goal, or if they are catabolic and losing weight because of their diabetes, then insulin has an important place in management.

These are incredibly important guidelines that provide a clear algorithm for a personalized approach to diabetes management.
 

Dr. Skolnik is professor, department of family medicine, Sidney Kimmel Medical College, Philadelphia, and associate director, department of family medicine, Abington (Pa.) Jefferson Health. He reported conflicts of interest with AstraZeneca, Teva, Eli Lilly, Boehringer Ingelheim, Sanofi, Sanofi Pasteur, GlaxoSmithKline, Merck, and Bayer. A version of this article first appeared on Medscape.com.

This transcript has been edited for clarity.

I’m Dr. Neil Skolnik. Today we’re going to talk about the consensus report by the American Diabetes Association and the European Association for the Study of Diabetes on the management of hyperglycemia.

A lot has changed in this consensus statement. It covers a lot of ground. We’re going to focus today on pharmacologic management.

After lifestyle modifications, metformin is no longer the go-to drug for every patient in the management of hyperglycemia. It is recommended that we assess each patient’s personal characteristics in deciding what medication to prescribe. For patients at high cardiorenal risk, refer to the left side of the algorithm and to the right side for all other patients.

American Diabetes Association

• Very high efficacy for glucose lowering: dulaglutide at a high dose, semaglutide, tirzepatide, insulin, or combination injectable agents (GLP-1 receptor agonist/insulin combinations).
• High glucose-lowering efficacy: a GLP-1 receptor agonist not already mentioned, metformin, SGLT-2 inhibitors, sulfonylureas, thiazolidinediones.
• Intermediate glucose lowering efficacy: dipeptidyl peptidase 4 (DPP-4) inhibitors.

Weight management. For weight management, lifestyle modification (diet and exercise) is important. If lifestyle modification alone is insufficient, consider either a medication that specifically helps with weight management or metabolic surgery.

We particularly want to focus on weight management in patients who have complications from obesity. What would those complications be? Sleep apnea, hip or knee pain from arthritis, back pain – that is, biomechanical complications of obesity or nonalcoholic fatty liver disease. Medications for weight loss are listed by degree of efficacy:

• Very high efficacy for weight loss: semaglutide, tirzepatide.
• High efficacy for weight loss: dulaglutide and liraglutide.
• Intermediate for weight loss: GLP-1 receptor agonist (not listed above), SGLT-2 inhibitor.
• Neutral for weight loss: DPP-4 inhibitors and metformin.

Where does insulin fit in? If patients present with a very high A1c, if they are on other medications and their A1c is still not to goal, or if they are catabolic and losing weight because of their diabetes, then insulin has an important place in management.

These are incredibly important guidelines that provide a clear algorithm for a personalized approach to diabetes management.
 

Dr. Skolnik is professor, department of family medicine, Sidney Kimmel Medical College, Philadelphia, and associate director, department of family medicine, Abington (Pa.) Jefferson Health. He reported conflicts of interest with AstraZeneca, Teva, Eli Lilly, Boehringer Ingelheim, Sanofi, Sanofi Pasteur, GlaxoSmithKline, Merck, and Bayer. A version of this article first appeared on Medscape.com.

This transcript has been edited for clarity.

I’m Dr. Neil Skolnik. Today we’re going to talk about the consensus report by the American Diabetes Association and the European Association for the Study of Diabetes on the management of hyperglycemia.

A lot has changed in this consensus statement. It covers a lot of ground. We’re going to focus today on pharmacologic management.

After lifestyle modifications, metformin is no longer the go-to drug for every patient in the management of hyperglycemia. It is recommended that we assess each patient’s personal characteristics in deciding what medication to prescribe. For patients at high cardiorenal risk, refer to the left side of the algorithm and to the right side for all other patients.

American Diabetes Association

• Very high efficacy for glucose lowering: dulaglutide at a high dose, semaglutide, tirzepatide, insulin, or combination injectable agents (GLP-1 receptor agonist/insulin combinations).
• High glucose-lowering efficacy: a GLP-1 receptor agonist not already mentioned, metformin, SGLT-2 inhibitors, sulfonylureas, thiazolidinediones.
• Intermediate glucose lowering efficacy: dipeptidyl peptidase 4 (DPP-4) inhibitors.

Weight management. For weight management, lifestyle modification (diet and exercise) is important. If lifestyle modification alone is insufficient, consider either a medication that specifically helps with weight management or metabolic surgery.

We particularly want to focus on weight management in patients who have complications from obesity. What would those complications be? Sleep apnea, hip or knee pain from arthritis, back pain – that is, biomechanical complications of obesity or nonalcoholic fatty liver disease. Medications for weight loss are listed by degree of efficacy:

• Very high efficacy for weight loss: semaglutide, tirzepatide.
• High efficacy for weight loss: dulaglutide and liraglutide.
• Intermediate for weight loss: GLP-1 receptor agonist (not listed above), SGLT-2 inhibitor.
• Neutral for weight loss: DPP-4 inhibitors and metformin.

Where does insulin fit in? If patients present with a very high A1c, if they are on other medications and their A1c is still not to goal, or if they are catabolic and losing weight because of their diabetes, then insulin has an important place in management.

These are incredibly important guidelines that provide a clear algorithm for a personalized approach to diabetes management.
 

Dr. Skolnik is professor, department of family medicine, Sidney Kimmel Medical College, Philadelphia, and associate director, department of family medicine, Abington (Pa.) Jefferson Health. He reported conflicts of interest with AstraZeneca, Teva, Eli Lilly, Boehringer Ingelheim, Sanofi, Sanofi Pasteur, GlaxoSmithKline, Merck, and Bayer. A version of this article first appeared on Medscape.com.

Many Americans turn to the latest big idea to lose weight – fad diets, fitness crazes, dodgy herbs and pills, bariatric surgery, just to name a few. They’re rarely the magic solution people dream of.

Now a wave of startups offer access to a new category of drugs coupled with intensive behavioral coaching online. But already concerns are emerging.

These startups, spurred by hundreds of millions of dollars in funding from blue-chip venture capital firms, have signed up well over 100,000 patients and could reach millions more. These patients pay hundreds, if not thousands, of dollars to access new drugs, called glucagonlike peptide–1 (GLP-1) agonists, along with online coaching to encourage healthy habits.

The startups initially positioned themselves in lofty terms. “This is the last weight-loss program you’ll try,” said a 2020 marketing analysis by startup Calibrate Health, in messaging designed to reach one of its target demographics, the “working mom.” (Company spokesperson Michelle Wellington said the document does not reflect Calibrate’s current marketing strategy.)

But while doctors and patients are intrigued by the new model, some customers complain online that reality is short of the buildup: They say they got canned advice and unresponsive clinicians – and some report they couldn’t get the newest drugs.

Calibrate Health, a New York City–based startup, reported earlier in 2022 it had served 20,000 people. Another startup, Found, headquartered in San Francisco, has served 135,000 patients since July 2020, CEO Sarah Jones Simmer said in an interview. Calibrate costs patients nearly $1,600 a year, not counting the price of drugs, which can hit nearly $1,500 monthly without insurance, according to drug price savings site GoodRx. (Insurers reimburse for GLP-1agonists in limited circumstances, patients said.) Found offers a 6-month plan for nearly $600, a company spokesperson said. (That price includes generic drugs, but not the newer GLP-1 agonists, like Wegovy.)

The two companies are beneficiaries of over $200 million in combined venture funding, according to tracking by Crunchbase, a repository of venture capital investments. The firms say they’re on the vanguard of weight care, both citing the influence of biology and other scientific factors as key ingredients to their approaches.

There’s potentially a big market for these startups. Just over 4 in 10 Americans are obese, according to the Centers for Disease Control and Prevention, driving up their risk for cardiovascular conditions and type 2 diabetes. Effective medical treatments are elusive and hard to access.

Centers that provide this specialty care “are overwhelmed,” said Fatima Stanford, MD, an obesity medicine specialist at Massachusetts General in Boston, a teaching hospital affiliated with Harvard. Her own clinic has a wait list of 3,000.

Dr. Stanford, who said she has advised several of these telemedicine startups, is bullish on their potential.

Scott Butsch, MD, director of obesity medicine at the Cleveland Clinic, said the startups can offer care with less judgment and stigma than in-person peers. They’re also more convenient.

Dr. Butsch, who learned about the model through consultancies, patients, and colleagues, wonders whether the startups are operating “to strategically find which patients respond to which drug.” He said they should coordinate well with behavioral specialists, as antidepressants or other medications may be driving weight gain. “Obesity is a complex disease and requires treatments that match its complexity. I think programs that do not have a multidisciplinary team are less comprehensive and, in the long term, less effective.”

The startups market a two-pronged product: first, the new class of GLP-1 agonists. While these medications are effective at provoking weight loss, Wegovy, one of two in this class specifically approved for this purpose, is in short supply because of manufacturing difficulties, according to its maker, Novo Nordisk. Others in the category can be prescribed off label. But doctors generally aren’t familiar with the medications, Stanford said. In theory, the startups can bridge some of those gaps: They offer more specialized, knowledgeable clinicians.

Then there’s the other prong: behavioral changes. The companies use televisits and online messaging with nutritionists or coaches to help patients incorporate new diet and exercise habits. The weight loss figures achieved by participants in clinical trials for the new drugs – up to 15% of body mass – were tied to such changes, according to Novo Nordisk.

Social media sites are bursting with these startups’ ads, everywhere from podcasts to Instagram. A search of Meta’s ad library finds 40,000 ads on Facebook and Instagram between the two firms.

The ads complement people’s own postings on social media: Numerous Facebook groups are devoted to the new type of drugs – some even focused on helping patients manage side effects, like changes in their bowel movements. The buzz is quantifiable: On TikTok, mentions of the new GLP-1 agonists tripled from last June to this June, according to an analysis by investment bankers at Morgan Stanley.

There’s now a feverish, expectant appetite for these medications among the startups’ clientele. Patients often complained that their friends had obtained a drug they weren’t offered, recalled Alexandra Coults, a former pharmacist consultant for Found. Ms. Coults said patients may have perceived some sort of bait-and-switch when in reality clinical reasons – like drug contraindications – guide prescribing decisions.

Patient expectations influence care, Ms. Coults said. Customers came in with ideas shaped by the culture of fad diets and New Year’s resolutions. “Quite a few people would sign up for 1 month and not continue.”

In interviews with KHN and in online complaints, patients also questioned the quality of care they received. Some said intake – which began by filling out a form and proceeded to an online visit with a doctor – was perfunctory. Once medication began, they said, requests for counseling about side effects were slow to be answered.

Jess Garrant, a Found patient, recalled that after she was prescribed zonisamide, a generic anticonvulsant that has shown some ability to help with weight loss, she felt “absolutely weird.”

“I was up all night and my thoughts were racing,” she wrote in a blog post. She developed sores in her mouth.

She sought advice and help from Found physicians, but their replies “weren’t quick.” Nonemergency communications are routed through the company’s portal.

It took a week to complete a switch of medications and have a new prescription arrive at her home, she said. Meanwhile, she said, she went to an urgent care clinic for the mouth sores.

Found frequently prescribes generic medications – often off label – rather than just the new GLP-1 agonists, company executives said in an interview. Found said older generics like zonisamide are more accessible than the GLP-1 agonists advertised on social media and their own website. Both Dr. Butsch and Dr. Stanford said they’ve prescribed zonisamide successfully. Dr. Butsch said ramping up dosage rapidly can increase the risk of side effects.

But Kim Boyd, MD, chief medical officer of competitor Calibrate, said the older drugs “just haven’t worked.”

Patients of both companies have critiqued online and in interviews the startups’ behavioral care – which experts across the board maintain is integral to successful weight loss treatment. But some patients felt they simply had canned advice.

Other patients said they had ups and downs with their coaches. Dana Crom, an attorney, said she had gone through many coaches with Calibrate. Some were good, effective cheerleaders; others, not so good. But when kinks in the program arose, she said, the coach wasn’t able to help her navigate them. While the coach can report trouble with medications or the app, it appears those reports are no more effective than messages sent through the portal, Ms. Crom said.

And what about when her yearlong subscription ends? Ms. Crom said she’d consider continuing with Calibrate.

Relationships with coaches, given the need to change behavior, are a critical element of the business models. Patients’ results depend “on how adherent they are to lifestyle changes,” said Found’s chief medical officer, Rehka Kumar, MD.

While the startups offer care to a larger geographic footprint, it’s not clear whether the demographics of their patient populations are different from those of the traditional bricks-and-mortar model. Calibrate’s patients are overwhelmingly White; over 8 in 10 have at least an undergraduate degree; and over 8 in 10 are women, according to the company.

And its earlier marketing strategies reflected that. The September 2020 “segmentation” document laid out three types of customers the company could hope to attract: perimenopausal or menopausal women, with income ranging from $75,000 to $150,000 a year; working mothers, with a similar income; and “men.”

Isabelle Kenyon, Calibrate’s CEO, said the company now hopes to expand its reach to partner with large employers, and that will help diversify its patients.

Patients will need to be convinced that the model – more affordable, more accessible – works for them. For her part, Ms. Garrant, who no longer is using Found, reflected on her experience, writing in her blog post that she was hoping for more follow-up and a more personal approach. “I don’t think it’s a helpful way to lose weight,” she said.

KHN (Kaiser Health News) is a national newsroom that produces in-depth journalism about health issues. Together with Policy Analysis and Polling, KHN is one of the three major operating programs at KFF (Kaiser Family Foundation). KFF is an endowed nonprofit organization providing information on health issues to the nation.

Many Americans turn to the latest big idea to lose weight – fad diets, fitness crazes, dodgy herbs and pills, bariatric surgery, just to name a few. They’re rarely the magic solution people dream of.

Now a wave of startups offer access to a new category of drugs coupled with intensive behavioral coaching online. But already concerns are emerging.

These startups, spurred by hundreds of millions of dollars in funding from blue-chip venture capital firms, have signed up well over 100,000 patients and could reach millions more. These patients pay hundreds, if not thousands, of dollars to access new drugs, called glucagonlike peptide–1 (GLP-1) agonists, along with online coaching to encourage healthy habits.

The startups initially positioned themselves in lofty terms. “This is the last weight-loss program you’ll try,” said a 2020 marketing analysis by startup Calibrate Health, in messaging designed to reach one of its target demographics, the “working mom.” (Company spokesperson Michelle Wellington said the document does not reflect Calibrate’s current marketing strategy.)

But while doctors and patients are intrigued by the new model, some customers complain online that reality is short of the buildup: They say they got canned advice and unresponsive clinicians – and some report they couldn’t get the newest drugs.

Calibrate Health, a New York City–based startup, reported earlier in 2022 it had served 20,000 people. Another startup, Found, headquartered in San Francisco, has served 135,000 patients since July 2020, CEO Sarah Jones Simmer said in an interview. Calibrate costs patients nearly $1,600 a year, not counting the price of drugs, which can hit nearly $1,500 monthly without insurance, according to drug price savings site GoodRx. (Insurers reimburse for GLP-1agonists in limited circumstances, patients said.) Found offers a 6-month plan for nearly $600, a company spokesperson said. (That price includes generic drugs, but not the newer GLP-1 agonists, like Wegovy.)

The two companies are beneficiaries of over $200 million in combined venture funding, according to tracking by Crunchbase, a repository of venture capital investments. The firms say they’re on the vanguard of weight care, both citing the influence of biology and other scientific factors as key ingredients to their approaches.

There’s potentially a big market for these startups. Just over 4 in 10 Americans are obese, according to the Centers for Disease Control and Prevention, driving up their risk for cardiovascular conditions and type 2 diabetes. Effective medical treatments are elusive and hard to access.

Centers that provide this specialty care “are overwhelmed,” said Fatima Stanford, MD, an obesity medicine specialist at Massachusetts General in Boston, a teaching hospital affiliated with Harvard. Her own clinic has a wait list of 3,000.

Dr. Stanford, who said she has advised several of these telemedicine startups, is bullish on their potential.

Scott Butsch, MD, director of obesity medicine at the Cleveland Clinic, said the startups can offer care with less judgment and stigma than in-person peers. They’re also more convenient.

Dr. Butsch, who learned about the model through consultancies, patients, and colleagues, wonders whether the startups are operating “to strategically find which patients respond to which drug.” He said they should coordinate well with behavioral specialists, as antidepressants or other medications may be driving weight gain. “Obesity is a complex disease and requires treatments that match its complexity. I think programs that do not have a multidisciplinary team are less comprehensive and, in the long term, less effective.”

The startups market a two-pronged product: first, the new class of GLP-1 agonists. While these medications are effective at provoking weight loss, Wegovy, one of two in this class specifically approved for this purpose, is in short supply because of manufacturing difficulties, according to its maker, Novo Nordisk. Others in the category can be prescribed off label. But doctors generally aren’t familiar with the medications, Stanford said. In theory, the startups can bridge some of those gaps: They offer more specialized, knowledgeable clinicians.

Then there’s the other prong: behavioral changes. The companies use televisits and online messaging with nutritionists or coaches to help patients incorporate new diet and exercise habits. The weight loss figures achieved by participants in clinical trials for the new drugs – up to 15% of body mass – were tied to such changes, according to Novo Nordisk.

Social media sites are bursting with these startups’ ads, everywhere from podcasts to Instagram. A search of Meta’s ad library finds 40,000 ads on Facebook and Instagram between the two firms.

The ads complement people’s own postings on social media: Numerous Facebook groups are devoted to the new type of drugs – some even focused on helping patients manage side effects, like changes in their bowel movements. The buzz is quantifiable: On TikTok, mentions of the new GLP-1 agonists tripled from last June to this June, according to an analysis by investment bankers at Morgan Stanley.

There’s now a feverish, expectant appetite for these medications among the startups’ clientele. Patients often complained that their friends had obtained a drug they weren’t offered, recalled Alexandra Coults, a former pharmacist consultant for Found. Ms. Coults said patients may have perceived some sort of bait-and-switch when in reality clinical reasons – like drug contraindications – guide prescribing decisions.

Patient expectations influence care, Ms. Coults said. Customers came in with ideas shaped by the culture of fad diets and New Year’s resolutions. “Quite a few people would sign up for 1 month and not continue.”

In interviews with KHN and in online complaints, patients also questioned the quality of care they received. Some said intake – which began by filling out a form and proceeded to an online visit with a doctor – was perfunctory. Once medication began, they said, requests for counseling about side effects were slow to be answered.

Jess Garrant, a Found patient, recalled that after she was prescribed zonisamide, a generic anticonvulsant that has shown some ability to help with weight loss, she felt “absolutely weird.”

“I was up all night and my thoughts were racing,” she wrote in a blog post. She developed sores in her mouth.

She sought advice and help from Found physicians, but their replies “weren’t quick.” Nonemergency communications are routed through the company’s portal.

It took a week to complete a switch of medications and have a new prescription arrive at her home, she said. Meanwhile, she said, she went to an urgent care clinic for the mouth sores.

Found frequently prescribes generic medications – often off label – rather than just the new GLP-1 agonists, company executives said in an interview. Found said older generics like zonisamide are more accessible than the GLP-1 agonists advertised on social media and their own website. Both Dr. Butsch and Dr. Stanford said they’ve prescribed zonisamide successfully. Dr. Butsch said ramping up dosage rapidly can increase the risk of side effects.

But Kim Boyd, MD, chief medical officer of competitor Calibrate, said the older drugs “just haven’t worked.”

Patients of both companies have critiqued online and in interviews the startups’ behavioral care – which experts across the board maintain is integral to successful weight loss treatment. But some patients felt they simply had canned advice.

Other patients said they had ups and downs with their coaches. Dana Crom, an attorney, said she had gone through many coaches with Calibrate. Some were good, effective cheerleaders; others, not so good. But when kinks in the program arose, she said, the coach wasn’t able to help her navigate them. While the coach can report trouble with medications or the app, it appears those reports are no more effective than messages sent through the portal, Ms. Crom said.

And what about when her yearlong subscription ends? Ms. Crom said she’d consider continuing with Calibrate.

Relationships with coaches, given the need to change behavior, are a critical element of the business models. Patients’ results depend “on how adherent they are to lifestyle changes,” said Found’s chief medical officer, Rehka Kumar, MD.

While the startups offer care to a larger geographic footprint, it’s not clear whether the demographics of their patient populations are different from those of the traditional bricks-and-mortar model. Calibrate’s patients are overwhelmingly White; over 8 in 10 have at least an undergraduate degree; and over 8 in 10 are women, according to the company.

And its earlier marketing strategies reflected that. The September 2020 “segmentation” document laid out three types of customers the company could hope to attract: perimenopausal or menopausal women, with income ranging from $75,000 to $150,000 a year; working mothers, with a similar income; and “men.”

Isabelle Kenyon, Calibrate’s CEO, said the company now hopes to expand its reach to partner with large employers, and that will help diversify its patients.

Patients will need to be convinced that the model – more affordable, more accessible – works for them. For her part, Ms. Garrant, who no longer is using Found, reflected on her experience, writing in her blog post that she was hoping for more follow-up and a more personal approach. “I don’t think it’s a helpful way to lose weight,” she said.

KHN (Kaiser Health News) is a national newsroom that produces in-depth journalism about health issues. Together with Policy Analysis and Polling, KHN is one of the three major operating programs at KFF (Kaiser Family Foundation). KFF is an endowed nonprofit organization providing information on health issues to the nation.

Many Americans turn to the latest big idea to lose weight – fad diets, fitness crazes, dodgy herbs and pills, bariatric surgery, just to name a few. They’re rarely the magic solution people dream of.

Now a wave of startups offer access to a new category of drugs coupled with intensive behavioral coaching online. But already concerns are emerging.

These startups, spurred by hundreds of millions of dollars in funding from blue-chip venture capital firms, have signed up well over 100,000 patients and could reach millions more. These patients pay hundreds, if not thousands, of dollars to access new drugs, called glucagonlike peptide–1 (GLP-1) agonists, along with online coaching to encourage healthy habits.

The startups initially positioned themselves in lofty terms. “This is the last weight-loss program you’ll try,” said a 2020 marketing analysis by startup Calibrate Health, in messaging designed to reach one of its target demographics, the “working mom.” (Company spokesperson Michelle Wellington said the document does not reflect Calibrate’s current marketing strategy.)

But while doctors and patients are intrigued by the new model, some customers complain online that reality is short of the buildup: They say they got canned advice and unresponsive clinicians – and some report they couldn’t get the newest drugs.

Calibrate Health, a New York City–based startup, reported earlier in 2022 it had served 20,000 people. Another startup, Found, headquartered in San Francisco, has served 135,000 patients since July 2020, CEO Sarah Jones Simmer said in an interview. Calibrate costs patients nearly $1,600 a year, not counting the price of drugs, which can hit nearly $1,500 monthly without insurance, according to drug price savings site GoodRx. (Insurers reimburse for GLP-1agonists in limited circumstances, patients said.) Found offers a 6-month plan for nearly $600, a company spokesperson said. (That price includes generic drugs, but not the newer GLP-1 agonists, like Wegovy.)

The two companies are beneficiaries of over $200 million in combined venture funding, according to tracking by Crunchbase, a repository of venture capital investments. The firms say they’re on the vanguard of weight care, both citing the influence of biology and other scientific factors as key ingredients to their approaches.

There’s potentially a big market for these startups. Just over 4 in 10 Americans are obese, according to the Centers for Disease Control and Prevention, driving up their risk for cardiovascular conditions and type 2 diabetes. Effective medical treatments are elusive and hard to access.

Centers that provide this specialty care “are overwhelmed,” said Fatima Stanford, MD, an obesity medicine specialist at Massachusetts General in Boston, a teaching hospital affiliated with Harvard. Her own clinic has a wait list of 3,000.

Dr. Stanford, who said she has advised several of these telemedicine startups, is bullish on their potential.

Scott Butsch, MD, director of obesity medicine at the Cleveland Clinic, said the startups can offer care with less judgment and stigma than in-person peers. They’re also more convenient.

Dr. Butsch, who learned about the model through consultancies, patients, and colleagues, wonders whether the startups are operating “to strategically find which patients respond to which drug.” He said they should coordinate well with behavioral specialists, as antidepressants or other medications may be driving weight gain. “Obesity is a complex disease and requires treatments that match its complexity. I think programs that do not have a multidisciplinary team are less comprehensive and, in the long term, less effective.”

The startups market a two-pronged product: first, the new class of GLP-1 agonists. While these medications are effective at provoking weight loss, Wegovy, one of two in this class specifically approved for this purpose, is in short supply because of manufacturing difficulties, according to its maker, Novo Nordisk. Others in the category can be prescribed off label. But doctors generally aren’t familiar with the medications, Stanford said. In theory, the startups can bridge some of those gaps: They offer more specialized, knowledgeable clinicians.

Then there’s the other prong: behavioral changes. The companies use televisits and online messaging with nutritionists or coaches to help patients incorporate new diet and exercise habits. The weight loss figures achieved by participants in clinical trials for the new drugs – up to 15% of body mass – were tied to such changes, according to Novo Nordisk.

Social media sites are bursting with these startups’ ads, everywhere from podcasts to Instagram. A search of Meta’s ad library finds 40,000 ads on Facebook and Instagram between the two firms.

The ads complement people’s own postings on social media: Numerous Facebook groups are devoted to the new type of drugs – some even focused on helping patients manage side effects, like changes in their bowel movements. The buzz is quantifiable: On TikTok, mentions of the new GLP-1 agonists tripled from last June to this June, according to an analysis by investment bankers at Morgan Stanley.

There’s now a feverish, expectant appetite for these medications among the startups’ clientele. Patients often complained that their friends had obtained a drug they weren’t offered, recalled Alexandra Coults, a former pharmacist consultant for Found. Ms. Coults said patients may have perceived some sort of bait-and-switch when in reality clinical reasons – like drug contraindications – guide prescribing decisions.

Patient expectations influence care, Ms. Coults said. Customers came in with ideas shaped by the culture of fad diets and New Year’s resolutions. “Quite a few people would sign up for 1 month and not continue.”

In interviews with KHN and in online complaints, patients also questioned the quality of care they received. Some said intake – which began by filling out a form and proceeded to an online visit with a doctor – was perfunctory. Once medication began, they said, requests for counseling about side effects were slow to be answered.

Jess Garrant, a Found patient, recalled that after she was prescribed zonisamide, a generic anticonvulsant that has shown some ability to help with weight loss, she felt “absolutely weird.”

“I was up all night and my thoughts were racing,” she wrote in a blog post. She developed sores in her mouth.

She sought advice and help from Found physicians, but their replies “weren’t quick.” Nonemergency communications are routed through the company’s portal.

It took a week to complete a switch of medications and have a new prescription arrive at her home, she said. Meanwhile, she said, she went to an urgent care clinic for the mouth sores.

Found frequently prescribes generic medications – often off label – rather than just the new GLP-1 agonists, company executives said in an interview. Found said older generics like zonisamide are more accessible than the GLP-1 agonists advertised on social media and their own website. Both Dr. Butsch and Dr. Stanford said they’ve prescribed zonisamide successfully. Dr. Butsch said ramping up dosage rapidly can increase the risk of side effects.

But Kim Boyd, MD, chief medical officer of competitor Calibrate, said the older drugs “just haven’t worked.”

Patients of both companies have critiqued online and in interviews the startups’ behavioral care – which experts across the board maintain is integral to successful weight loss treatment. But some patients felt they simply had canned advice.

Other patients said they had ups and downs with their coaches. Dana Crom, an attorney, said she had gone through many coaches with Calibrate. Some were good, effective cheerleaders; others, not so good. But when kinks in the program arose, she said, the coach wasn’t able to help her navigate them. While the coach can report trouble with medications or the app, it appears those reports are no more effective than messages sent through the portal, Ms. Crom said.

And what about when her yearlong subscription ends? Ms. Crom said she’d consider continuing with Calibrate.

Relationships with coaches, given the need to change behavior, are a critical element of the business models. Patients’ results depend “on how adherent they are to lifestyle changes,” said Found’s chief medical officer, Rehka Kumar, MD.

While the startups offer care to a larger geographic footprint, it’s not clear whether the demographics of their patient populations are different from those of the traditional bricks-and-mortar model. Calibrate’s patients are overwhelmingly White; over 8 in 10 have at least an undergraduate degree; and over 8 in 10 are women, according to the company.

And its earlier marketing strategies reflected that. The September 2020 “segmentation” document laid out three types of customers the company could hope to attract: perimenopausal or menopausal women, with income ranging from $75,000 to $150,000 a year; working mothers, with a similar income; and “men.”

Isabelle Kenyon, Calibrate’s CEO, said the company now hopes to expand its reach to partner with large employers, and that will help diversify its patients.

Patients will need to be convinced that the model – more affordable, more accessible – works for them. For her part, Ms. Garrant, who no longer is using Found, reflected on her experience, writing in her blog post that she was hoping for more follow-up and a more personal approach. “I don’t think it’s a helpful way to lose weight,” she said.

KHN (Kaiser Health News) is a national newsroom that produces in-depth journalism about health issues. Together with Policy Analysis and Polling, KHN is one of the three major operating programs at KFF (Kaiser Family Foundation). KFF is an endowed nonprofit organization providing information on health issues to the nation.

In 2019, diabetes mellitus (DM) was the seventh leading cause of death in the United States, and currently, about 11% of the American population has a DM diagnosis.¹ Most have a diagnosis of type 2 diabetes (T2DM), which has a strong genetic predisposition, and the risk of developing T2DM increases with age, obesity, and lack of physical activity.^1,2 Nearly one-quarter of veterans have a diagnosis of DM, and DM is the leading cause of comorbidities, such as blindness, end-stage renal disease, and amputation for patients receiving care from the Veterans Health Administration (VHA).² The elevated incidence of DM in the veteran population is attributed to a variety of factors, including exposure to herbicides, such as Agent Orange, advanced age, increased risk of obesity, and limited access to high-quality food.³

After diagnosis, both the American Diabetes Association (ADA) and the American Association of Clinical Endocrinologists and American College of Endocrinology (AACE/ACE) emphasize the appropriate use of lifestyle management and pharmacologic therapy for DM care. The use of pharmacologic agents (oral medications, insulin, or noninsulin injectables) is often determined by efficacy, cost, potential adverse effects (AEs), and patient factors and comorbidities.^4,5

The initial recommendation for pharmacologic treatment for T2DM differs slightly between expert guidelines. The ADA and AACE/ACE recommend any of the following as initial monotherapy, listed in order to represent a hierarchy of usage: metformin, glucagon-like peptide-1 receptor agonists (GLP-1 RAs), sodium-glucose cotransporter 2 (SGLT-2) inhibitors, or dipeptidyl peptidase-4 (DPP-4) inhibitors, with the first 3 agents carrying the strongest recommendations.^4,5 For patients with established atherosclerotic cardiovascular disease (CVD), chronic kidney disease, or heart failure, it is recommended to start a long-acting GLP-1 RA or SGLT-2 inhibitor. For patients with T2DM and hemoglobin A_1c (HbA_1c) between 7.5% and 9.0% at diagnosis, the AACE/ACE recommend initiation of dual therapy using metformin alongside another first-line agent and recommend the addition of another antidiabetic agent if glycemic goals are not met after regular follow-up. AACE/ACE recommend the consideration of insulin therapy in symptomatic patients with HbA_1c > 9.0%.⁵ In contrast, the ADA recommends metformin as first-line therapy for all patients with T2DM and recommends dual therapy using metformin and another preferred agent (selection based on comorbidities) when HbA_1c is 1.5% to 2% above target. The ADA recommends the consideration of insulin with HbA_1c > 10% or with evidence of ongoing catabolism or symptoms of hyperglycemia.⁴ There are several reasons why insulin may be initiated prior to GLP-1 RAs, including profound hyperglycemia at time of diagnosis or implementation of insulin agents prior to commercial availability of GLP-1 RA.

GLP-1 RAs are analogs of the hormone incretin, which increases glucose-dependent insulin secretion, decreases postprandial glucagon secretion, increases satiety, and slows gastric emptying.^6,7 When used in combination with noninsulin agents, GLP-1 RAs have demonstrated HbA_1c reductions of 0.5% to 1.5%.⁸ The use of GLP-1 RAs with basal insulin also has been studied extensively.^6,8-10 When the combination of GLP-1 RAs and basal insulin was compared with basal/bolus insulin regimens, the use of the GLP-1 RAs resulted in lower HbA_1c levels and lower incidence of hypoglycemia.^6,9 Data have demonstrated the complementary mechanisms of using basal insulin and GLP 1 RAs in decreasing HbA_1c levels, insulin requirements, and weight compared with using basal insulin monotherapy and basal/bolus combinations.^6,9-13 Moreover, 3 GLP-1 RA medications currently on the market (liraglutide, dulaglutide, and semaglutide) have displayed cardiovascular and renal benefits, further supporting the use of these medications.^2,5

Despite these benefits, GLP-1 RAs may have bothersome AEs and are associated with a high cost.⁶ In addition, some studies have found that as the length of therapy increases, the positive effects of these agents may diminish.^9,11 In one study, which looked at the impact of the addition of exenatide to patients taking basal or basal/bolus insulin regimens, mean changes in weight were −2.4 kg at 0 to 6 months, −4.3 kg at 6 to 12 months, −6.2 kg at 12 to 18 months, and −5.5 kg at 18 to 27 months. After 18 months, an increase in weight was observed, but the increase remained lower than baseline.¹¹ Another study, conducted over 12 months, found no significant decrease in weight or total daily dose (TDD) of insulin when exenatide or liraglutide were added to various insulin regimens (basal or basal/bolus).¹³ To date, minimal published data exist regarding the addition of newer GLP-1 RAs and the long-term use of these agents beyond 12 months in patients taking basal/bolus insulin regimens. The primary goal of this study was to evaluate the effect of adding GLP-1 RAs to basal/bolus insulin regimens over a 24-month period.

Methods

This study was a retrospective, electronic health record review of all patients on basal and bolus insulin regimens who received additional therapy with a GLP-1 RA at Veteran Health Indiana in Indianapolis from September 1, 2015, to June 30, 2019. Patients meeting inclusion criteria served as their own control. The primary outcome was change in HbA_1c at 3, 6, 12, 18, and 24 months after initiation of the GLP-1 RA. Secondary outcomes included change in weight and TDD of insulin at 3, 6, 12, 18, and 24 months after the initiation of the GLP-1 RAs and incidence of patient-reported or laboratory-confirmed hypoglycemia and other AEs.

Patients were included if they were aged ≥ 18 years with a diagnosis of T2DM, had concomitant prescriptions for both a basal insulin (glargine, detemir, or NPH) and a bolus insulin (aspart, lispro, or regular) before receiving add-on therapy with a GLP-1 RA (exenatide, liraglutide, albiglutide, lixisenatide, dulaglutide, or semaglutide) from September 1, 2015, to June 30, 2019, and had baseline and subsequent HbA_1c measurements available in the electronic health record. Patients were excluded if they had a diagnosis of type 1 DM (T1DM), were followed by an outside clinician for DM care, or if the GLP-1 RA was discontinued before subsequent HbA_1c measurement. The study protocol was approved by the Research and Development Office of Veteran Health Indiana, and the project was deemed exempt from review by the Indiana University Institutional Review Board due to the retrospective nature of the study.

Data analysis was performed using Excel. Change from baseline for each interval was computed, and 1 sample t tests (2-tailed) compared change from baseline to no change. Due to the disparity in the number of patients with data available at each of the time intervals, a mean plot was presented for each group of patients within each interval, allowing mean changes in individual groups to be observed over time.

Results

One hundred twenty-three subjects met inclusion criteria; 16 patients were excluded due to GLP-1 RA discontinuation before follow-up measurement of HbA_1c; 14 were excluded due to patients being managed by a clinician outside of the facility; 1 patient was excluded for lack of documentation regarding baseline and subsequent insulin doses. Ninety-two patient charts were reviewed. Participants had a mean age of 64 years, 95% were male, and 89% were White. Mean baseline HbA_1c was 9.2%, mean body mass index was 38.9, and the mean TDD of insulin was 184 units.

Since some patients switched between GLP-1 RAs throughout the study and there was variation in timing of laboratory and clinic follow-up,

Discussion

Adding a GLP-1 RA to basal/bolus insulin regimens was associated with a statistically significant decrease in HbA_1c at each time point through 18 months. The greatest improvement in glycemic control from baseline was seen at 3 months, with improvements in HbA_1c diminishing at each subsequent period. The study also demonstrated a significant decrease in weight at each time point through 18 months. The greatest decrease in weight was observed at both 6 and 12 months. Statistically significant decreases in TDD were observed at 3, 6, and 12 months. Insulin changes after 12 months were not found to be statistically significant.

Few studies have previously evaluated the use of GLP-1 RAs in patients with T2DM who are already taking basal/bolus insulin regimens. Gyorffy and colleagues reported significant improvements in glycemic control at 3 and 6 months in a sample of 54 patients taking basal/bolus insulin when liraglutide or exenatide was added, although statistical significance was not found at the final 12-month time point.¹³ That study also found a significant decrease in weight at 6 months; however there was not a significant reduction in weight at both 3 and 12 months of GLP-1 RA therapy. There was not a significant decrease in TDD at any of the collected time points. Nonetheless, Gyorffy and colleagues concluded that reduction in TDD leveled off after 12 months, which is consistent with this study’s findings. The small size of the study may have limited the ability to detect statistical significance; however, this study was conducted in a population that was racially diverse and included a higher proportion of women, though average age was similar.¹³

Yoon and colleagues reported weight loss through 18 months, then saw weight increase, though weights did remain lower than baseline. The study also showed no significant change in TDD of insulin after 12 months of concomitant exenatide and insulin therapy.¹¹ Although these results mirror the outcomes observed in this study, Yoon and colleagues did not differentiate results between basal and basal/bolus insulin groups.¹¹ Seino and colleagues observed no significant change in weight after 36 weeks of GLP-1 RA therapy in Japanese patients when used with basal and basal/bolus insulin regimens. Despite the consideration that the population in the study was not overweight (mean body mass index was 25.6), the results of these studies support the idea that effects of GLP-1 RAs on weight and TDD may diminish over time.¹⁴

Within the VHA, GLP-1 RAs are nonformulary medications. Patients must meet certain criteria in order to be approved for these agents, which may include diagnosis of CVD, renal disease, or failure to reach glycemic control with the use of oral agents or insulin. Therefore, participants of this study represent a particular subset of VHA patients, many of whom may have been selected for consideration due to long-standing or uncontrolled T2DM and failure of previous therapies. The baseline demographics support this idea, given poor glycemic control at baseline and high insulin requirements. Once approved for GLP-1 RA therapy, semaglutide is currently the preferred agent within the VHA, with other agents available for select considerations. It should be noted that albiglutide, which was the primary agent selected for some of the patients included in this study, was removed from the market in 2017 for economic considerations.¹⁵ In the case for these patients, a conversion to a formulary-preferred GLP-1 RA was made.

Most of the patients included in this study (70%) were maintained on metformin from baseline throughout the study period. Fifty-seven percent of patients were taking TDD of insulin > 150 units. Considering the significant cost of concentrated insulins, the addition of GLP-1 RAs to standard insulin may prove to be beneficial from a cost standpoint. Additional research in this area may be warranted to establish more data regarding this potential benefit of GLP-1 RAs as add-on therapy.

Many adverse drug reactions were reported at different periods; however, most of these were associated with the gastrointestinal system, which is consistent with current literature, drug labeling, and the mechanism of action.¹⁶ Hypoglycemia occurred in about one-third of the participants; however, it should be noted that alone, GLP-1 RAs are not associated with a high risk of hypoglycemia. Previous studies have found that GLP-1 RA monotherapy is associated with hypoglycemia in 1.6% to 12.6% of patients.^17,18 More likely, the combination of basal/bolus insulin and the GLP-1 RA’s effect on increasing insulin sensitivity through weight loss, improving glucose-dependent insulin secretion, or by decreasing appetite and therefore decreasing carbohydrate intake contributed to the hypoglycemia prevalence.

Limitations and Strengths

Limitations of this study include a small patient population and a gradual reduction in available data as time periods progressed, making even smaller sample sizes for subsequent time periods. A majority of participants were older, males and White race. This could have limited the determination of statistical significance and applicability of the results to other patient populations. Another potential limitation was the retrospective nature of the study design, which may have limited reporting of hypoglycemia and other AEs based on the documentation of the clinician.

Strengths included the study duration and the diversity of GLP-1 RAs used by participants, as the impact of many of these agents has not yet been assessed in the literature. In addition, the retrospective nature of the study allows for a more realistic representation of patient adherence, education, and motivation, which are likely different from those of patients included in prospective clinical trials.

There are no clear guidelines dictating the optimal duration of concomitant GLP-1 RA and insulin therapy; however, our study suggests that there may be continued benefits past short-term use. Also our study suggests that patients with T2DM treated with basal/bolus insulin regimens may glean additional benefit from adding GLP-1 RAs; however, further randomized, controlled studies are warranted, particularly in poorly controlled patients requiring even more aggressive treatment regimens, such as concentrated insulins.

Conclusions

In our study, adding GLP-1 RA to basal/bolus insulin was associated with a significant decrease in HbA_1c from baseline through 18 months. An overall decrease in weight and TDD of insulin was observed through 24 months, but the change in weight was not significant past 18 months, and the change in insulin requirement was not significant past 12 months. Hypoglycemia was observed in almost one-third of patients, and gastrointestinal symptoms were the most common AE observed as a result of adding GLP-1 RAs. More studies are needed to better evaluate the durability and cost benefit of GLP-1 RAs, especially in patients with high insulin requirements.

Acknowledgments

This material is the result of work supported with resources and facilities at Veteran Health Indiana in Indianapolis. Study data were collected and managed using REDCap electronic data capture tools hosted at Veteran Health Indiana. The authors also acknowledge George Eckert for his assistance with data analysis.

In 2019, diabetes mellitus (DM) was the seventh leading cause of death in the United States, and currently, about 11% of the American population has a DM diagnosis.¹ Most have a diagnosis of type 2 diabetes (T2DM), which has a strong genetic predisposition, and the risk of developing T2DM increases with age, obesity, and lack of physical activity.^1,2 Nearly one-quarter of veterans have a diagnosis of DM, and DM is the leading cause of comorbidities, such as blindness, end-stage renal disease, and amputation for patients receiving care from the Veterans Health Administration (VHA).² The elevated incidence of DM in the veteran population is attributed to a variety of factors, including exposure to herbicides, such as Agent Orange, advanced age, increased risk of obesity, and limited access to high-quality food.³

After diagnosis, both the American Diabetes Association (ADA) and the American Association of Clinical Endocrinologists and American College of Endocrinology (AACE/ACE) emphasize the appropriate use of lifestyle management and pharmacologic therapy for DM care. The use of pharmacologic agents (oral medications, insulin, or noninsulin injectables) is often determined by efficacy, cost, potential adverse effects (AEs), and patient factors and comorbidities.^4,5

The initial recommendation for pharmacologic treatment for T2DM differs slightly between expert guidelines. The ADA and AACE/ACE recommend any of the following as initial monotherapy, listed in order to represent a hierarchy of usage: metformin, glucagon-like peptide-1 receptor agonists (GLP-1 RAs), sodium-glucose cotransporter 2 (SGLT-2) inhibitors, or dipeptidyl peptidase-4 (DPP-4) inhibitors, with the first 3 agents carrying the strongest recommendations.^4,5 For patients with established atherosclerotic cardiovascular disease (CVD), chronic kidney disease, or heart failure, it is recommended to start a long-acting GLP-1 RA or SGLT-2 inhibitor. For patients with T2DM and hemoglobin A_1c (HbA_1c) between 7.5% and 9.0% at diagnosis, the AACE/ACE recommend initiation of dual therapy using metformin alongside another first-line agent and recommend the addition of another antidiabetic agent if glycemic goals are not met after regular follow-up. AACE/ACE recommend the consideration of insulin therapy in symptomatic patients with HbA_1c > 9.0%.⁵ In contrast, the ADA recommends metformin as first-line therapy for all patients with T2DM and recommends dual therapy using metformin and another preferred agent (selection based on comorbidities) when HbA_1c is 1.5% to 2% above target. The ADA recommends the consideration of insulin with HbA_1c > 10% or with evidence of ongoing catabolism or symptoms of hyperglycemia.⁴ There are several reasons why insulin may be initiated prior to GLP-1 RAs, including profound hyperglycemia at time of diagnosis or implementation of insulin agents prior to commercial availability of GLP-1 RA.

GLP-1 RAs are analogs of the hormone incretin, which increases glucose-dependent insulin secretion, decreases postprandial glucagon secretion, increases satiety, and slows gastric emptying.^6,7 When used in combination with noninsulin agents, GLP-1 RAs have demonstrated HbA_1c reductions of 0.5% to 1.5%.⁸ The use of GLP-1 RAs with basal insulin also has been studied extensively.^6,8-10 When the combination of GLP-1 RAs and basal insulin was compared with basal/bolus insulin regimens, the use of the GLP-1 RAs resulted in lower HbA_1c levels and lower incidence of hypoglycemia.^6,9 Data have demonstrated the complementary mechanisms of using basal insulin and GLP 1 RAs in decreasing HbA_1c levels, insulin requirements, and weight compared with using basal insulin monotherapy and basal/bolus combinations.^6,9-13 Moreover, 3 GLP-1 RA medications currently on the market (liraglutide, dulaglutide, and semaglutide) have displayed cardiovascular and renal benefits, further supporting the use of these medications.^2,5

Despite these benefits, GLP-1 RAs may have bothersome AEs and are associated with a high cost.⁶ In addition, some studies have found that as the length of therapy increases, the positive effects of these agents may diminish.^9,11 In one study, which looked at the impact of the addition of exenatide to patients taking basal or basal/bolus insulin regimens, mean changes in weight were −2.4 kg at 0 to 6 months, −4.3 kg at 6 to 12 months, −6.2 kg at 12 to 18 months, and −5.5 kg at 18 to 27 months. After 18 months, an increase in weight was observed, but the increase remained lower than baseline.¹¹ Another study, conducted over 12 months, found no significant decrease in weight or total daily dose (TDD) of insulin when exenatide or liraglutide were added to various insulin regimens (basal or basal/bolus).¹³ To date, minimal published data exist regarding the addition of newer GLP-1 RAs and the long-term use of these agents beyond 12 months in patients taking basal/bolus insulin regimens. The primary goal of this study was to evaluate the effect of adding GLP-1 RAs to basal/bolus insulin regimens over a 24-month period.

Methods

This study was a retrospective, electronic health record review of all patients on basal and bolus insulin regimens who received additional therapy with a GLP-1 RA at Veteran Health Indiana in Indianapolis from September 1, 2015, to June 30, 2019. Patients meeting inclusion criteria served as their own control. The primary outcome was change in HbA_1c at 3, 6, 12, 18, and 24 months after initiation of the GLP-1 RA. Secondary outcomes included change in weight and TDD of insulin at 3, 6, 12, 18, and 24 months after the initiation of the GLP-1 RAs and incidence of patient-reported or laboratory-confirmed hypoglycemia and other AEs.

Patients were included if they were aged ≥ 18 years with a diagnosis of T2DM, had concomitant prescriptions for both a basal insulin (glargine, detemir, or NPH) and a bolus insulin (aspart, lispro, or regular) before receiving add-on therapy with a GLP-1 RA (exenatide, liraglutide, albiglutide, lixisenatide, dulaglutide, or semaglutide) from September 1, 2015, to June 30, 2019, and had baseline and subsequent HbA_1c measurements available in the electronic health record. Patients were excluded if they had a diagnosis of type 1 DM (T1DM), were followed by an outside clinician for DM care, or if the GLP-1 RA was discontinued before subsequent HbA_1c measurement. The study protocol was approved by the Research and Development Office of Veteran Health Indiana, and the project was deemed exempt from review by the Indiana University Institutional Review Board due to the retrospective nature of the study.

Data analysis was performed using Excel. Change from baseline for each interval was computed, and 1 sample t tests (2-tailed) compared change from baseline to no change. Due to the disparity in the number of patients with data available at each of the time intervals, a mean plot was presented for each group of patients within each interval, allowing mean changes in individual groups to be observed over time.

Results

One hundred twenty-three subjects met inclusion criteria; 16 patients were excluded due to GLP-1 RA discontinuation before follow-up measurement of HbA_1c; 14 were excluded due to patients being managed by a clinician outside of the facility; 1 patient was excluded for lack of documentation regarding baseline and subsequent insulin doses. Ninety-two patient charts were reviewed. Participants had a mean age of 64 years, 95% were male, and 89% were White. Mean baseline HbA_1c was 9.2%, mean body mass index was 38.9, and the mean TDD of insulin was 184 units.

Since some patients switched between GLP-1 RAs throughout the study and there was variation in timing of laboratory and clinic follow-up,

Discussion

Adding a GLP-1 RA to basal/bolus insulin regimens was associated with a statistically significant decrease in HbA_1c at each time point through 18 months. The greatest improvement in glycemic control from baseline was seen at 3 months, with improvements in HbA_1c diminishing at each subsequent period. The study also demonstrated a significant decrease in weight at each time point through 18 months. The greatest decrease in weight was observed at both 6 and 12 months. Statistically significant decreases in TDD were observed at 3, 6, and 12 months. Insulin changes after 12 months were not found to be statistically significant.

Few studies have previously evaluated the use of GLP-1 RAs in patients with T2DM who are already taking basal/bolus insulin regimens. Gyorffy and colleagues reported significant improvements in glycemic control at 3 and 6 months in a sample of 54 patients taking basal/bolus insulin when liraglutide or exenatide was added, although statistical significance was not found at the final 12-month time point.¹³ That study also found a significant decrease in weight at 6 months; however there was not a significant reduction in weight at both 3 and 12 months of GLP-1 RA therapy. There was not a significant decrease in TDD at any of the collected time points. Nonetheless, Gyorffy and colleagues concluded that reduction in TDD leveled off after 12 months, which is consistent with this study’s findings. The small size of the study may have limited the ability to detect statistical significance; however, this study was conducted in a population that was racially diverse and included a higher proportion of women, though average age was similar.¹³

Yoon and colleagues reported weight loss through 18 months, then saw weight increase, though weights did remain lower than baseline. The study also showed no significant change in TDD of insulin after 12 months of concomitant exenatide and insulin therapy.¹¹ Although these results mirror the outcomes observed in this study, Yoon and colleagues did not differentiate results between basal and basal/bolus insulin groups.¹¹ Seino and colleagues observed no significant change in weight after 36 weeks of GLP-1 RA therapy in Japanese patients when used with basal and basal/bolus insulin regimens. Despite the consideration that the population in the study was not overweight (mean body mass index was 25.6), the results of these studies support the idea that effects of GLP-1 RAs on weight and TDD may diminish over time.¹⁴

Within the VHA, GLP-1 RAs are nonformulary medications. Patients must meet certain criteria in order to be approved for these agents, which may include diagnosis of CVD, renal disease, or failure to reach glycemic control with the use of oral agents or insulin. Therefore, participants of this study represent a particular subset of VHA patients, many of whom may have been selected for consideration due to long-standing or uncontrolled T2DM and failure of previous therapies. The baseline demographics support this idea, given poor glycemic control at baseline and high insulin requirements. Once approved for GLP-1 RA therapy, semaglutide is currently the preferred agent within the VHA, with other agents available for select considerations. It should be noted that albiglutide, which was the primary agent selected for some of the patients included in this study, was removed from the market in 2017 for economic considerations.¹⁵ In the case for these patients, a conversion to a formulary-preferred GLP-1 RA was made.

Most of the patients included in this study (70%) were maintained on metformin from baseline throughout the study period. Fifty-seven percent of patients were taking TDD of insulin > 150 units. Considering the significant cost of concentrated insulins, the addition of GLP-1 RAs to standard insulin may prove to be beneficial from a cost standpoint. Additional research in this area may be warranted to establish more data regarding this potential benefit of GLP-1 RAs as add-on therapy.

Many adverse drug reactions were reported at different periods; however, most of these were associated with the gastrointestinal system, which is consistent with current literature, drug labeling, and the mechanism of action.¹⁶ Hypoglycemia occurred in about one-third of the participants; however, it should be noted that alone, GLP-1 RAs are not associated with a high risk of hypoglycemia. Previous studies have found that GLP-1 RA monotherapy is associated with hypoglycemia in 1.6% to 12.6% of patients.^17,18 More likely, the combination of basal/bolus insulin and the GLP-1 RA’s effect on increasing insulin sensitivity through weight loss, improving glucose-dependent insulin secretion, or by decreasing appetite and therefore decreasing carbohydrate intake contributed to the hypoglycemia prevalence.

Limitations and Strengths

Limitations of this study include a small patient population and a gradual reduction in available data as time periods progressed, making even smaller sample sizes for subsequent time periods. A majority of participants were older, males and White race. This could have limited the determination of statistical significance and applicability of the results to other patient populations. Another potential limitation was the retrospective nature of the study design, which may have limited reporting of hypoglycemia and other AEs based on the documentation of the clinician.

Strengths included the study duration and the diversity of GLP-1 RAs used by participants, as the impact of many of these agents has not yet been assessed in the literature. In addition, the retrospective nature of the study allows for a more realistic representation of patient adherence, education, and motivation, which are likely different from those of patients included in prospective clinical trials.

There are no clear guidelines dictating the optimal duration of concomitant GLP-1 RA and insulin therapy; however, our study suggests that there may be continued benefits past short-term use. Also our study suggests that patients with T2DM treated with basal/bolus insulin regimens may glean additional benefit from adding GLP-1 RAs; however, further randomized, controlled studies are warranted, particularly in poorly controlled patients requiring even more aggressive treatment regimens, such as concentrated insulins.

Conclusions

In our study, adding GLP-1 RA to basal/bolus insulin was associated with a significant decrease in HbA_1c from baseline through 18 months. An overall decrease in weight and TDD of insulin was observed through 24 months, but the change in weight was not significant past 18 months, and the change in insulin requirement was not significant past 12 months. Hypoglycemia was observed in almost one-third of patients, and gastrointestinal symptoms were the most common AE observed as a result of adding GLP-1 RAs. More studies are needed to better evaluate the durability and cost benefit of GLP-1 RAs, especially in patients with high insulin requirements.

Acknowledgments

This material is the result of work supported with resources and facilities at Veteran Health Indiana in Indianapolis. Study data were collected and managed using REDCap electronic data capture tools hosted at Veteran Health Indiana. The authors also acknowledge George Eckert for his assistance with data analysis.

In 2019, diabetes mellitus (DM) was the seventh leading cause of death in the United States, and currently, about 11% of the American population has a DM diagnosis.¹ Most have a diagnosis of type 2 diabetes (T2DM), which has a strong genetic predisposition, and the risk of developing T2DM increases with age, obesity, and lack of physical activity.^1,2 Nearly one-quarter of veterans have a diagnosis of DM, and DM is the leading cause of comorbidities, such as blindness, end-stage renal disease, and amputation for patients receiving care from the Veterans Health Administration (VHA).² The elevated incidence of DM in the veteran population is attributed to a variety of factors, including exposure to herbicides, such as Agent Orange, advanced age, increased risk of obesity, and limited access to high-quality food.³

After diagnosis, both the American Diabetes Association (ADA) and the American Association of Clinical Endocrinologists and American College of Endocrinology (AACE/ACE) emphasize the appropriate use of lifestyle management and pharmacologic therapy for DM care. The use of pharmacologic agents (oral medications, insulin, or noninsulin injectables) is often determined by efficacy, cost, potential adverse effects (AEs), and patient factors and comorbidities.^4,5

The initial recommendation for pharmacologic treatment for T2DM differs slightly between expert guidelines. The ADA and AACE/ACE recommend any of the following as initial monotherapy, listed in order to represent a hierarchy of usage: metformin, glucagon-like peptide-1 receptor agonists (GLP-1 RAs), sodium-glucose cotransporter 2 (SGLT-2) inhibitors, or dipeptidyl peptidase-4 (DPP-4) inhibitors, with the first 3 agents carrying the strongest recommendations.^4,5 For patients with established atherosclerotic cardiovascular disease (CVD), chronic kidney disease, or heart failure, it is recommended to start a long-acting GLP-1 RA or SGLT-2 inhibitor. For patients with T2DM and hemoglobin A_1c (HbA_1c) between 7.5% and 9.0% at diagnosis, the AACE/ACE recommend initiation of dual therapy using metformin alongside another first-line agent and recommend the addition of another antidiabetic agent if glycemic goals are not met after regular follow-up. AACE/ACE recommend the consideration of insulin therapy in symptomatic patients with HbA_1c > 9.0%.⁵ In contrast, the ADA recommends metformin as first-line therapy for all patients with T2DM and recommends dual therapy using metformin and another preferred agent (selection based on comorbidities) when HbA_1c is 1.5% to 2% above target. The ADA recommends the consideration of insulin with HbA_1c > 10% or with evidence of ongoing catabolism or symptoms of hyperglycemia.⁴ There are several reasons why insulin may be initiated prior to GLP-1 RAs, including profound hyperglycemia at time of diagnosis or implementation of insulin agents prior to commercial availability of GLP-1 RA.

GLP-1 RAs are analogs of the hormone incretin, which increases glucose-dependent insulin secretion, decreases postprandial glucagon secretion, increases satiety, and slows gastric emptying.^6,7 When used in combination with noninsulin agents, GLP-1 RAs have demonstrated HbA_1c reductions of 0.5% to 1.5%.⁸ The use of GLP-1 RAs with basal insulin also has been studied extensively.^6,8-10 When the combination of GLP-1 RAs and basal insulin was compared with basal/bolus insulin regimens, the use of the GLP-1 RAs resulted in lower HbA_1c levels and lower incidence of hypoglycemia.^6,9 Data have demonstrated the complementary mechanisms of using basal insulin and GLP 1 RAs in decreasing HbA_1c levels, insulin requirements, and weight compared with using basal insulin monotherapy and basal/bolus combinations.^6,9-13 Moreover, 3 GLP-1 RA medications currently on the market (liraglutide, dulaglutide, and semaglutide) have displayed cardiovascular and renal benefits, further supporting the use of these medications.^2,5

Despite these benefits, GLP-1 RAs may have bothersome AEs and are associated with a high cost.⁶ In addition, some studies have found that as the length of therapy increases, the positive effects of these agents may diminish.^9,11 In one study, which looked at the impact of the addition of exenatide to patients taking basal or basal/bolus insulin regimens, mean changes in weight were −2.4 kg at 0 to 6 months, −4.3 kg at 6 to 12 months, −6.2 kg at 12 to 18 months, and −5.5 kg at 18 to 27 months. After 18 months, an increase in weight was observed, but the increase remained lower than baseline.¹¹ Another study, conducted over 12 months, found no significant decrease in weight or total daily dose (TDD) of insulin when exenatide or liraglutide were added to various insulin regimens (basal or basal/bolus).¹³ To date, minimal published data exist regarding the addition of newer GLP-1 RAs and the long-term use of these agents beyond 12 months in patients taking basal/bolus insulin regimens. The primary goal of this study was to evaluate the effect of adding GLP-1 RAs to basal/bolus insulin regimens over a 24-month period.

Methods

This study was a retrospective, electronic health record review of all patients on basal and bolus insulin regimens who received additional therapy with a GLP-1 RA at Veteran Health Indiana in Indianapolis from September 1, 2015, to June 30, 2019. Patients meeting inclusion criteria served as their own control. The primary outcome was change in HbA_1c at 3, 6, 12, 18, and 24 months after initiation of the GLP-1 RA. Secondary outcomes included change in weight and TDD of insulin at 3, 6, 12, 18, and 24 months after the initiation of the GLP-1 RAs and incidence of patient-reported or laboratory-confirmed hypoglycemia and other AEs.

Patients were included if they were aged ≥ 18 years with a diagnosis of T2DM, had concomitant prescriptions for both a basal insulin (glargine, detemir, or NPH) and a bolus insulin (aspart, lispro, or regular) before receiving add-on therapy with a GLP-1 RA (exenatide, liraglutide, albiglutide, lixisenatide, dulaglutide, or semaglutide) from September 1, 2015, to June 30, 2019, and had baseline and subsequent HbA_1c measurements available in the electronic health record. Patients were excluded if they had a diagnosis of type 1 DM (T1DM), were followed by an outside clinician for DM care, or if the GLP-1 RA was discontinued before subsequent HbA_1c measurement. The study protocol was approved by the Research and Development Office of Veteran Health Indiana, and the project was deemed exempt from review by the Indiana University Institutional Review Board due to the retrospective nature of the study.

Data analysis was performed using Excel. Change from baseline for each interval was computed, and 1 sample t tests (2-tailed) compared change from baseline to no change. Due to the disparity in the number of patients with data available at each of the time intervals, a mean plot was presented for each group of patients within each interval, allowing mean changes in individual groups to be observed over time.

Results

One hundred twenty-three subjects met inclusion criteria; 16 patients were excluded due to GLP-1 RA discontinuation before follow-up measurement of HbA_1c; 14 were excluded due to patients being managed by a clinician outside of the facility; 1 patient was excluded for lack of documentation regarding baseline and subsequent insulin doses. Ninety-two patient charts were reviewed. Participants had a mean age of 64 years, 95% were male, and 89% were White. Mean baseline HbA_1c was 9.2%, mean body mass index was 38.9, and the mean TDD of insulin was 184 units.

Since some patients switched between GLP-1 RAs throughout the study and there was variation in timing of laboratory and clinic follow-up,

Discussion

Adding a GLP-1 RA to basal/bolus insulin regimens was associated with a statistically significant decrease in HbA_1c at each time point through 18 months. The greatest improvement in glycemic control from baseline was seen at 3 months, with improvements in HbA_1c diminishing at each subsequent period. The study also demonstrated a significant decrease in weight at each time point through 18 months. The greatest decrease in weight was observed at both 6 and 12 months. Statistically significant decreases in TDD were observed at 3, 6, and 12 months. Insulin changes after 12 months were not found to be statistically significant.

Few studies have previously evaluated the use of GLP-1 RAs in patients with T2DM who are already taking basal/bolus insulin regimens. Gyorffy and colleagues reported significant improvements in glycemic control at 3 and 6 months in a sample of 54 patients taking basal/bolus insulin when liraglutide or exenatide was added, although statistical significance was not found at the final 12-month time point.¹³ That study also found a significant decrease in weight at 6 months; however there was not a significant reduction in weight at both 3 and 12 months of GLP-1 RA therapy. There was not a significant decrease in TDD at any of the collected time points. Nonetheless, Gyorffy and colleagues concluded that reduction in TDD leveled off after 12 months, which is consistent with this study’s findings. The small size of the study may have limited the ability to detect statistical significance; however, this study was conducted in a population that was racially diverse and included a higher proportion of women, though average age was similar.¹³

Yoon and colleagues reported weight loss through 18 months, then saw weight increase, though weights did remain lower than baseline. The study also showed no significant change in TDD of insulin after 12 months of concomitant exenatide and insulin therapy.¹¹ Although these results mirror the outcomes observed in this study, Yoon and colleagues did not differentiate results between basal and basal/bolus insulin groups.¹¹ Seino and colleagues observed no significant change in weight after 36 weeks of GLP-1 RA therapy in Japanese patients when used with basal and basal/bolus insulin regimens. Despite the consideration that the population in the study was not overweight (mean body mass index was 25.6), the results of these studies support the idea that effects of GLP-1 RAs on weight and TDD may diminish over time.¹⁴

Within the VHA, GLP-1 RAs are nonformulary medications. Patients must meet certain criteria in order to be approved for these agents, which may include diagnosis of CVD, renal disease, or failure to reach glycemic control with the use of oral agents or insulin. Therefore, participants of this study represent a particular subset of VHA patients, many of whom may have been selected for consideration due to long-standing or uncontrolled T2DM and failure of previous therapies. The baseline demographics support this idea, given poor glycemic control at baseline and high insulin requirements. Once approved for GLP-1 RA therapy, semaglutide is currently the preferred agent within the VHA, with other agents available for select considerations. It should be noted that albiglutide, which was the primary agent selected for some of the patients included in this study, was removed from the market in 2017 for economic considerations.¹⁵ In the case for these patients, a conversion to a formulary-preferred GLP-1 RA was made.

Most of the patients included in this study (70%) were maintained on metformin from baseline throughout the study period. Fifty-seven percent of patients were taking TDD of insulin > 150 units. Considering the significant cost of concentrated insulins, the addition of GLP-1 RAs to standard insulin may prove to be beneficial from a cost standpoint. Additional research in this area may be warranted to establish more data regarding this potential benefit of GLP-1 RAs as add-on therapy.

Many adverse drug reactions were reported at different periods; however, most of these were associated with the gastrointestinal system, which is consistent with current literature, drug labeling, and the mechanism of action.¹⁶ Hypoglycemia occurred in about one-third of the participants; however, it should be noted that alone, GLP-1 RAs are not associated with a high risk of hypoglycemia. Previous studies have found that GLP-1 RA monotherapy is associated with hypoglycemia in 1.6% to 12.6% of patients.^17,18 More likely, the combination of basal/bolus insulin and the GLP-1 RA’s effect on increasing insulin sensitivity through weight loss, improving glucose-dependent insulin secretion, or by decreasing appetite and therefore decreasing carbohydrate intake contributed to the hypoglycemia prevalence.

Limitations and Strengths

Limitations of this study include a small patient population and a gradual reduction in available data as time periods progressed, making even smaller sample sizes for subsequent time periods. A majority of participants were older, males and White race. This could have limited the determination of statistical significance and applicability of the results to other patient populations. Another potential limitation was the retrospective nature of the study design, which may have limited reporting of hypoglycemia and other AEs based on the documentation of the clinician.

Strengths included the study duration and the diversity of GLP-1 RAs used by participants, as the impact of many of these agents has not yet been assessed in the literature. In addition, the retrospective nature of the study allows for a more realistic representation of patient adherence, education, and motivation, which are likely different from those of patients included in prospective clinical trials.

There are no clear guidelines dictating the optimal duration of concomitant GLP-1 RA and insulin therapy; however, our study suggests that there may be continued benefits past short-term use. Also our study suggests that patients with T2DM treated with basal/bolus insulin regimens may glean additional benefit from adding GLP-1 RAs; however, further randomized, controlled studies are warranted, particularly in poorly controlled patients requiring even more aggressive treatment regimens, such as concentrated insulins.

Conclusions

In our study, adding GLP-1 RA to basal/bolus insulin was associated with a significant decrease in HbA_1c from baseline through 18 months. An overall decrease in weight and TDD of insulin was observed through 24 months, but the change in weight was not significant past 18 months, and the change in insulin requirement was not significant past 12 months. Hypoglycemia was observed in almost one-third of patients, and gastrointestinal symptoms were the most common AE observed as a result of adding GLP-1 RAs. More studies are needed to better evaluate the durability and cost benefit of GLP-1 RAs, especially in patients with high insulin requirements.

Acknowledgments

This material is the result of work supported with resources and facilities at Veteran Health Indiana in Indianapolis. Study data were collected and managed using REDCap electronic data capture tools hosted at Veteran Health Indiana. The authors also acknowledge George Eckert for his assistance with data analysis.

Perioperative hyperglycemia, defined as blood glucose levels ≥ 180 mg/dL in the immediate pre- and postoperative period, is associated with increased postoperative morbidity, including infections, preoperative interventions, and in-hospital mortality.^1-3 Despite being identified as a barrier to optimal perioperative glycemic control, limited evidence is available on patient or health care practitioner (HCP) adherence to preoperative insulin protocols.^4-6

Background

Despite mounting evidence of the advantages of maintaining perioperative glucose levels between 80 and 180 mg/dL, available guidelines vary in their recommendations for long-acting basal insulin dosing.^7-10 The Society of Ambulatory Anesthesia suggests using 100% of the prescribed evening dosage of long-acting basal insulin dose on the night before surgery in patients without a history of nocturnal or morning hypoglycemia (category 2A evidence).⁹ However, the revised 2016 United Kingdom National Health Service consensus guideline recommends using 80% to 100% of the prescribed evening dosage of long-acting basal insulin dose on the night before surgery.⁷ The 2022 American Diabetes Association references an observational study of patients with type 2 DM (T2DM) treated with evening-only, long-acting glargine insulin, indicating that the optimal basal insulin dose on the evening before surgery is about 75% of the outpatient dose.^5,10 However, in a randomized, prospective open trial of patients with DM treated with evening-only long-acting basal insulin, no significant difference was noted in the target day of surgery (DOS) glucose levels among different dosing strategies on the evening before surgery.⁶ Presently, the optimal dose of long-acting insulin analogs on the evening before surgery is unknown.

Additionally, little is known about the other factors that influence perioperative glycemic control. Several barriers to optimal perioperative care of patients with DM have been identified, including lack of prioritization by HCPs, lack of knowledge about current evidence-based recommendations, and lack of patient information and involvement.⁴ To determine the effect of patient adherence to preoperative medication instructions on postoperative outcome, a cross-sectional study assessed surgical patients admitted to the postanesthetic care unit (PACU) and found that only 70% of patients with insulin-treated DM took their medications preoperatively. Additionally, 23% of nonadherent patients who omitted their medications either did not understand or forgot preoperative medication management instructions. Preoperative DM medication omission was associated with higher rates of hyperglycemia in the PACU (23.8% vs 3.6%; P = .02).¹¹ Importantly, to our knowledge, the extent of HCP adherence to DM management protocols and the subsequent effect on DOS hyperglycemia has not been examined until now.For patients with DM treated with an evening dose of long-acting basal insulin (ie, either once-daily long-acting basal insulin in the evening or twice-daily long-acting basal insulin, both morning and evening) presenting for elective noncardiac surgery, our aim was to decrease the rate of DOS hyperglycemia from 29% (our baseline) to 15% by intensifying the dose of insulin on the evening before surgery without increasing the rate of hypoglycemia. We also sought to determine the rates of HCP adherence to our insulin protocols as well as patients’ self-reported adherence to HCP instructions over the course of this quality improvement (QI) initiative.

Quality Improvement Program

Our surgical department consists of 11 surgical subspecialties that performed approximately 4400 noncardiac surgeries in 2019. All patients undergoing elective surgery are evaluated in the preoperative clinic, which is staffed by an anesthesiology professional (attending and resident physicians, nurse practitioners, and physician assistants) and internal medicine attending physicians. At the preoperative visit, each patient is evaluated by anesthesiology; medically complex patients may also be referred to an internal medicine professional for further risk stratification and optimization before surgery.

At the preoperative clinic visit, HCPs prepare written patient instructions for the preoperative management of medications, including glucose-lowering medications, based on a DM management protocol that was implemented in 2016 for the preoperative management of insulin, noninsulin injectable agents, and oral hyperglycemic agents. According to this protocol, patients with DM treated with evening long-acting basal insulin (eg, glargine insulin) are instructed to take 50% of their usual evening dose the evening before surgery. A preoperative clinic nurse reviews the final preoperative medication instructions with the patient at the end of the clinic visit. Patients are also instructed to avoid oral intake other than water and necessary medications after midnight before surgery regardless of the time of surgery. On the DOS, the patient’s blood glucose level is measured on arrival to the presurgical area.

Our QI initiative focused only on the dose of self-administered, long-acting basal insulin on the evening before surgery. The effect of the morning of surgery long-acting insulin dose on the DOS glucose levels largely depends on the timing of surgery, which is variable; therefore, we did not target this dose for our initiative. Patients receiving intermediate-acting neutral protamine Hagedorn (NPH) insulin were excluded because our protocol does not recommend a dose reduction for NPH insulin on the evening before surgery.

We developed a comprehensive driver diagram to help elucidate the different factors contributing to DOS hyperglycemia and to guide specific QI interventions.¹² Some of the identified contributors to DOS hyperglycemia, such as the length of preoperative fasting and timing of surgery, are unpredictable and were deemed difficult to address preoperatively. Other contributors to DOS hyperglycemia, such as outpatient DM management, often require interventions over several months, which is well beyond the time usually allotted for preoperative evaluation and optimization. On the other hand, immediate preoperative insulin dosing directly affects DOS glycemic control; therefore, improvement of the preoperative insulin management protocol to optimize the dosage on the evening before surgery was considered to be an achievable QI goal with the potential for decreasing the rate of DOS hyperglycemia in patients presenting for elective noncardiac surgery.

We used the Model for Understanding Success in Quality (MUSIQ) as a framework to identify key contextual factors that may affect the success of our QI project.¹³ Limited resource availability and difficulty with dissemination of protocol changes in the preoperative clinic were determined to be potential barriers to the successful implementation of our QI initiative. Nonetheless, senior leadership support, microsystem QI culture, QI team skills, and physician involvement supported the implementation. The revised Standards for Quality Improvement Reporting Excellence (SQUIRE 2.0) guidelines were followed for this study.¹⁴

Interventions

With stakeholder input from anesthesiology, internal medicine, endocrinology, and nursing, we designed an intervention to iteratively change the HCP protocol instructions for long-acting insulin dosing on the evening before surgery. In phase 1 of the study (October 1, 2018, to March 11, 2019), we obtained baseline data on the rates of DOS hyperglycemia (blood glucose ≥ 180 mg/dL) and hypoglycemia (blood glucose < 80 mg/dL), as well as patient and HCP adherence rates to our existing preoperative DM protocol. For phase 2 (March 12, 2019, to July 22, 2019), the preoperative DM management protocol was changed to increase the dose of long-acting basal insulin on the evening before surgery for patients with hemoglobin A_1c (HbA_1c) levels > 8% from 50% of the usual outpatient dose to 100%. Finally, in phase 3 (July 23, 2019, to March 12, 2020), the protocol was changed to increase the dose of long-acting basal insulin on the evening before surgery for patients with HbA_1c levels ≤ 8% from 50% of the usual outpatient dose to 75% while sustaining the phase 2 change. Preoperative HCPs were informed of the protocol changes in person and were provided with electronic and hard copies of each new protocol.

Protocol

We used a prospective cohort design of 424 consecutive patients with DM who presented for preoperative evaluation for elective noncardiac surgery between October 1, 2018, and March 12, 2020. For the subset of 195 patients treated with an evening dose of long-acting basal insulin, we examined the effect of intensification of this preoperative basal insulin dose on DOS hyperglycemia and hypoglycemia, HCP adherence to iterative changes of the protocol, and patient adherence to HCP instructions on preoperative medication dosing. The QI project was concluded when elective surgeries were paused due to the COVID-19 pandemic.

We created a standardized preoperative data collection form that included information on the most recent HbA_1c, time, dose, and type of patient-administered insulin on the evening before surgery, and DOS blood glucose level. A preoperative clinic nurse completed the standardized preoperative data collection form. The HCP’s preoperative medication instructions and the preoperative data collection forms were gathered for review and data analysis.

The primary outcome was DOS hyperglycemia (blood glucose levels ≥ 180 mg/dL). We monitored the rate of DOS hypoglycemia (blood glucose levels < 80 mg/dL) as a balancing measure to ensure safety with long-acting basal insulin intensification. Although hypoglycemia is defined as a blood glucose level < 70 mg/dL, a target glucose range of 80 mg/dL to 180 mg/dL is recommended during the perioperative period.⁸ Therefore, we chose a more conservative definition of hypoglycemia (blood glucose levels < 80 mg/dL) to adhere to the recommended perioperative glucose target range.

Process measures included HCP adherence to each protocol change, which was assessed by comparing written preoperative patient instructions to the current protocol. Similarly, patient adherence to HCP-recommended long-acting basal insulin dosing was assessed by comparing written preoperative patient instructions to the patient’s self-reported time and dose of long-acting basal insulin on the evening before surgery. For any discrepancy between the HCP instructions and protocol or HCP-recommended dose and patient self-reported dose of long-acting basal insulin, a detailed chart review was performed to determine the etiology.

Statistical Analysis

We used the statistical process p-control chart to assess the effect of iterative changes to the preoperative long-acting basal insulin protocol on DOS hyperglycemia. The proportion defective (rate of DOS hyperglycemia) was plotted against time to determine whether the observed variations in the rate of DOS hyperglycemia over time were attributable to random common causes or special causes because of our intervention. The lower control limit (LCL) and upper control limit (UCL) define the limits of expected outcome measures in a stable process prior to introducing changes and were set at 3 SDs from the mean to balance the likelihood of type I (false-positive) and type II (false-negative) errors. Because of the variable interval sample sizes, we used the CRITBINOM function of Microsoft Excel to calculate the exact UCL satisfying the 3 SD limits of 0.99865.¹⁵ The Shewhart rules (outliers, runs or shifts, trends, sawtooth) were used to analyze the p-control chart to identify special cause signals resulting from our interventions.¹⁶ We used the statistical process t-control chart to record the time (days) between the few occurrences of DOS hypoglycemia because cases of hypoglycemia were rare.

Ethical Consideration

The Human Research Protection Program, Associate Chief of Staff for Research and Development, and Quality, Safety, and Values department reviewed this project in accordance with the Veterans Health Administration Program Guide 1200.21 and determined that it was a nonresearch operations activity; thus, approval by an institutional review board was not needed. The authors declare no competing interests.

Patient Outcomes

We prospectively followed 424 consecutive patients with DM undergoing elective noncardiac surgery from the time of the preoperative clinic evaluation until DOS; 195 patients were on evening

A subgroup analysis of DOS glucose levels in insulin-treated patients with preoperative HbA_1c levels > 8% did not demonstrate a change in the rate of

Discussion

The management and prevention of immediate perioperative hyperglycemia and glycemic variability have attracted attention as evidence has mounted for their association with postoperative morbidity and mortality.^1,2,17 Available guidelines for preventing DOS hyperglycemia vary in their recommendations for preoperative insulin management.^7-10 Notably, concerns about iatrogenic hypoglycemia often hinder efforts to lower rates of DOS hyperglycemia.⁴ We successfully implemented an iterative intensification protocol for preoperative long-acting basal insulin doses on the evening before surgery but did not observe a lower rate of hyperglycemia. Importantly, we also did not observe a higher rate of hypoglycemia on the DOS, as observed in a previous study.⁵

The observational study by Demma and colleagues found that patients receiving 75% of their evening, long-acting basal insulin dose were significantly more likely to achieve target blood glucose levels of 100 to 180 mg/dL than patients receiving no insulin at all (78% vs 0%; P = .001). However, no significant difference was noted when this group was compared with patients receiving 50% of their evening, long-acting basal insulin doses (78% vs 70%; P = .56). This is more clinically pertinent as it is generally accepted that the evening, long-acting insulin dose should not be entirely withheld on the evening before surgery.⁵

These findings are consistent with our observation that the rate of DOS hyperglycemia did not decrease with intensification of the evening, long-acting insulin dose from 50% to 100% of the prescribed dose in patients with HbA_1c levels > 8% (phase 2) and 50% to 75% of the prescribed dose in patients with HbA_1c levels ≤ 8% (phase 3). In the study by Demma and colleagues, few patients presented with preoperative hypoglycemia (2.7%) but all had received 100% of their evening, long-acting basal insulin dose, suggesting a significant increase in the rate of hypoglycemia compared with patients receiving lower doses of insulin (P = .01).⁵ However, long-term DM control as assessed by HbA_1c level was available for < 10% of the patients, making it difficult to evaluate the effect of overall DM control on the results.⁵ In our study, preoperative HbA_1c levels were available for 99.5% of the patients and only those with HbA_1c levels > 8% received 100% of their evening, long-acting insulin dose on the evening before surgery. Notably, we did not observe a higher rate of hypoglycemia in this patient population, indicating that preoperative insulin dose intensification is safe for this subgroup.

Although HCP adherence to perioperative DM management protocols has been identified as a predominant barrier to the delivery of optimal perioperative DM care, prior studies of various preoperative insulin protocols to reduce perioperative hyperglycemia have not reported HCP adherence to their insulin protocols or its effect on DOS hyperglycemia.^4-6 Additionally, patient adherence to HCP instructions is a key factor identified in our driver diagram that may influence DOS hyperglycemia, a hypothesis that is supported by a prior cross-sectional study showing an increased rate of hyperglycemia in the PACU with omission of preoperative DM medication.¹¹ In our study, patient adherence to preoperative medication management instructions was higher than reported previously and remained consistently high regardless of protocol changes, which may explain why patient adherence did not affect the rate of DOS hyperglycemia.

Although not part of our study protocol, our preoperative HCPs routinely prepare written patient instructions for the preoperative management of medications for all patients, which likely explains higher patient adherence to instructions in our study than seen in the previous study where written instructions were only encouraged.¹¹ However, HCP adherence to the protocol decreased after our phase 2 changes and was associated with a transient increase in DOS hyperglycemia rates. The DOS hyperglycemia rates returned to baseline levels with ongoing QI efforts and education to improve HCP adherence to protocol.

Limitations

Our QI initiative had several limitations. Nearly all patients were male veterans with T2DM, and most were older (range, 50-89 years). This limits the generalizability to women, younger patients, and people with type 1 DM. Additionally, our data collection relied on completion and collection of the preoperative form by different HCPs, allowing for sampling bias if some patients with DM undergoing elective noncardiac surgery were missed. Furthermore, although we could verify HCP adherence to the preoperative DM management protocols by reviewing their written instructions, we relied on patients’ self-reported adherence to the preoperative instructions. Finally, we did not evaluate postoperative blood glucose levels because the effect of intraoperative factors such as fluid, insulin, and glucocorticoid administration on postoperative glucose levels are variable. To the best of our knowledge, no other major systematic changes occurred in the preoperative care of patients with DM during the study period.

Conclusions

The findings of our QI initiative suggest that HCP adherence to preoperative DM management protocols may be a key contributor to DOS hyperglycemia and that ensuring HCP adherence may be as important as preoperative insulin dose adjustments. To our knowledge, this is the first study to report rates of HCP adherence to preoperative DM management protocols and its effect on DOS hyperglycemia. We will focus future QI efforts on optimizing HCP adherence to preoperative DM management protocols at our institution.

Acknowledgments

We thank our endocrinology expert, Dr. Kristina Utzschneider, for her guidance in designing this improvement project and our academic research coach, Dr. Helene Starks, for her help in editing the manuscript.

Perioperative hyperglycemia, defined as blood glucose levels ≥ 180 mg/dL in the immediate pre- and postoperative period, is associated with increased postoperative morbidity, including infections, preoperative interventions, and in-hospital mortality.^1-3 Despite being identified as a barrier to optimal perioperative glycemic control, limited evidence is available on patient or health care practitioner (HCP) adherence to preoperative insulin protocols.^4-6

Background

Despite mounting evidence of the advantages of maintaining perioperative glucose levels between 80 and 180 mg/dL, available guidelines vary in their recommendations for long-acting basal insulin dosing.^7-10 The Society of Ambulatory Anesthesia suggests using 100% of the prescribed evening dosage of long-acting basal insulin dose on the night before surgery in patients without a history of nocturnal or morning hypoglycemia (category 2A evidence).⁹ However, the revised 2016 United Kingdom National Health Service consensus guideline recommends using 80% to 100% of the prescribed evening dosage of long-acting basal insulin dose on the night before surgery.⁷ The 2022 American Diabetes Association references an observational study of patients with type 2 DM (T2DM) treated with evening-only, long-acting glargine insulin, indicating that the optimal basal insulin dose on the evening before surgery is about 75% of the outpatient dose.^5,10 However, in a randomized, prospective open trial of patients with DM treated with evening-only long-acting basal insulin, no significant difference was noted in the target day of surgery (DOS) glucose levels among different dosing strategies on the evening before surgery.⁶ Presently, the optimal dose of long-acting insulin analogs on the evening before surgery is unknown.

Additionally, little is known about the other factors that influence perioperative glycemic control. Several barriers to optimal perioperative care of patients with DM have been identified, including lack of prioritization by HCPs, lack of knowledge about current evidence-based recommendations, and lack of patient information and involvement.⁴ To determine the effect of patient adherence to preoperative medication instructions on postoperative outcome, a cross-sectional study assessed surgical patients admitted to the postanesthetic care unit (PACU) and found that only 70% of patients with insulin-treated DM took their medications preoperatively. Additionally, 23% of nonadherent patients who omitted their medications either did not understand or forgot preoperative medication management instructions. Preoperative DM medication omission was associated with higher rates of hyperglycemia in the PACU (23.8% vs 3.6%; P = .02).¹¹ Importantly, to our knowledge, the extent of HCP adherence to DM management protocols and the subsequent effect on DOS hyperglycemia has not been examined until now.For patients with DM treated with an evening dose of long-acting basal insulin (ie, either once-daily long-acting basal insulin in the evening or twice-daily long-acting basal insulin, both morning and evening) presenting for elective noncardiac surgery, our aim was to decrease the rate of DOS hyperglycemia from 29% (our baseline) to 15% by intensifying the dose of insulin on the evening before surgery without increasing the rate of hypoglycemia. We also sought to determine the rates of HCP adherence to our insulin protocols as well as patients’ self-reported adherence to HCP instructions over the course of this quality improvement (QI) initiative.

Quality Improvement Program

Our surgical department consists of 11 surgical subspecialties that performed approximately 4400 noncardiac surgeries in 2019. All patients undergoing elective surgery are evaluated in the preoperative clinic, which is staffed by an anesthesiology professional (attending and resident physicians, nurse practitioners, and physician assistants) and internal medicine attending physicians. At the preoperative visit, each patient is evaluated by anesthesiology; medically complex patients may also be referred to an internal medicine professional for further risk stratification and optimization before surgery.

At the preoperative clinic visit, HCPs prepare written patient instructions for the preoperative management of medications, including glucose-lowering medications, based on a DM management protocol that was implemented in 2016 for the preoperative management of insulin, noninsulin injectable agents, and oral hyperglycemic agents. According to this protocol, patients with DM treated with evening long-acting basal insulin (eg, glargine insulin) are instructed to take 50% of their usual evening dose the evening before surgery. A preoperative clinic nurse reviews the final preoperative medication instructions with the patient at the end of the clinic visit. Patients are also instructed to avoid oral intake other than water and necessary medications after midnight before surgery regardless of the time of surgery. On the DOS, the patient’s blood glucose level is measured on arrival to the presurgical area.

Our QI initiative focused only on the dose of self-administered, long-acting basal insulin on the evening before surgery. The effect of the morning of surgery long-acting insulin dose on the DOS glucose levels largely depends on the timing of surgery, which is variable; therefore, we did not target this dose for our initiative. Patients receiving intermediate-acting neutral protamine Hagedorn (NPH) insulin were excluded because our protocol does not recommend a dose reduction for NPH insulin on the evening before surgery.

We developed a comprehensive driver diagram to help elucidate the different factors contributing to DOS hyperglycemia and to guide specific QI interventions.¹² Some of the identified contributors to DOS hyperglycemia, such as the length of preoperative fasting and timing of surgery, are unpredictable and were deemed difficult to address preoperatively. Other contributors to DOS hyperglycemia, such as outpatient DM management, often require interventions over several months, which is well beyond the time usually allotted for preoperative evaluation and optimization. On the other hand, immediate preoperative insulin dosing directly affects DOS glycemic control; therefore, improvement of the preoperative insulin management protocol to optimize the dosage on the evening before surgery was considered to be an achievable QI goal with the potential for decreasing the rate of DOS hyperglycemia in patients presenting for elective noncardiac surgery.

We used the Model for Understanding Success in Quality (MUSIQ) as a framework to identify key contextual factors that may affect the success of our QI project.¹³ Limited resource availability and difficulty with dissemination of protocol changes in the preoperative clinic were determined to be potential barriers to the successful implementation of our QI initiative. Nonetheless, senior leadership support, microsystem QI culture, QI team skills, and physician involvement supported the implementation. The revised Standards for Quality Improvement Reporting Excellence (SQUIRE 2.0) guidelines were followed for this study.¹⁴

Interventions

With stakeholder input from anesthesiology, internal medicine, endocrinology, and nursing, we designed an intervention to iteratively change the HCP protocol instructions for long-acting insulin dosing on the evening before surgery. In phase 1 of the study (October 1, 2018, to March 11, 2019), we obtained baseline data on the rates of DOS hyperglycemia (blood glucose ≥ 180 mg/dL) and hypoglycemia (blood glucose < 80 mg/dL), as well as patient and HCP adherence rates to our existing preoperative DM protocol. For phase 2 (March 12, 2019, to July 22, 2019), the preoperative DM management protocol was changed to increase the dose of long-acting basal insulin on the evening before surgery for patients with hemoglobin A_1c (HbA_1c) levels > 8% from 50% of the usual outpatient dose to 100%. Finally, in phase 3 (July 23, 2019, to March 12, 2020), the protocol was changed to increase the dose of long-acting basal insulin on the evening before surgery for patients with HbA_1c levels ≤ 8% from 50% of the usual outpatient dose to 75% while sustaining the phase 2 change. Preoperative HCPs were informed of the protocol changes in person and were provided with electronic and hard copies of each new protocol.

Protocol

We used a prospective cohort design of 424 consecutive patients with DM who presented for preoperative evaluation for elective noncardiac surgery between October 1, 2018, and March 12, 2020. For the subset of 195 patients treated with an evening dose of long-acting basal insulin, we examined the effect of intensification of this preoperative basal insulin dose on DOS hyperglycemia and hypoglycemia, HCP adherence to iterative changes of the protocol, and patient adherence to HCP instructions on preoperative medication dosing. The QI project was concluded when elective surgeries were paused due to the COVID-19 pandemic.

We created a standardized preoperative data collection form that included information on the most recent HbA_1c, time, dose, and type of patient-administered insulin on the evening before surgery, and DOS blood glucose level. A preoperative clinic nurse completed the standardized preoperative data collection form. The HCP’s preoperative medication instructions and the preoperative data collection forms were gathered for review and data analysis.

The primary outcome was DOS hyperglycemia (blood glucose levels ≥ 180 mg/dL). We monitored the rate of DOS hypoglycemia (blood glucose levels < 80 mg/dL) as a balancing measure to ensure safety with long-acting basal insulin intensification. Although hypoglycemia is defined as a blood glucose level < 70 mg/dL, a target glucose range of 80 mg/dL to 180 mg/dL is recommended during the perioperative period.⁸ Therefore, we chose a more conservative definition of hypoglycemia (blood glucose levels < 80 mg/dL) to adhere to the recommended perioperative glucose target range.

Process measures included HCP adherence to each protocol change, which was assessed by comparing written preoperative patient instructions to the current protocol. Similarly, patient adherence to HCP-recommended long-acting basal insulin dosing was assessed by comparing written preoperative patient instructions to the patient’s self-reported time and dose of long-acting basal insulin on the evening before surgery. For any discrepancy between the HCP instructions and protocol or HCP-recommended dose and patient self-reported dose of long-acting basal insulin, a detailed chart review was performed to determine the etiology.

Statistical Analysis

We used the statistical process p-control chart to assess the effect of iterative changes to the preoperative long-acting basal insulin protocol on DOS hyperglycemia. The proportion defective (rate of DOS hyperglycemia) was plotted against time to determine whether the observed variations in the rate of DOS hyperglycemia over time were attributable to random common causes or special causes because of our intervention. The lower control limit (LCL) and upper control limit (UCL) define the limits of expected outcome measures in a stable process prior to introducing changes and were set at 3 SDs from the mean to balance the likelihood of type I (false-positive) and type II (false-negative) errors. Because of the variable interval sample sizes, we used the CRITBINOM function of Microsoft Excel to calculate the exact UCL satisfying the 3 SD limits of 0.99865.¹⁵ The Shewhart rules (outliers, runs or shifts, trends, sawtooth) were used to analyze the p-control chart to identify special cause signals resulting from our interventions.¹⁶ We used the statistical process t-control chart to record the time (days) between the few occurrences of DOS hypoglycemia because cases of hypoglycemia were rare.

Ethical Consideration

The Human Research Protection Program, Associate Chief of Staff for Research and Development, and Quality, Safety, and Values department reviewed this project in accordance with the Veterans Health Administration Program Guide 1200.21 and determined that it was a nonresearch operations activity; thus, approval by an institutional review board was not needed. The authors declare no competing interests.

Patient Outcomes

We prospectively followed 424 consecutive patients with DM undergoing elective noncardiac surgery from the time of the preoperative clinic evaluation until DOS; 195 patients were on evening

A subgroup analysis of DOS glucose levels in insulin-treated patients with preoperative HbA_1c levels > 8% did not demonstrate a change in the rate of

Discussion

The management and prevention of immediate perioperative hyperglycemia and glycemic variability have attracted attention as evidence has mounted for their association with postoperative morbidity and mortality.^1,2,17 Available guidelines for preventing DOS hyperglycemia vary in their recommendations for preoperative insulin management.^7-10 Notably, concerns about iatrogenic hypoglycemia often hinder efforts to lower rates of DOS hyperglycemia.⁴ We successfully implemented an iterative intensification protocol for preoperative long-acting basal insulin doses on the evening before surgery but did not observe a lower rate of hyperglycemia. Importantly, we also did not observe a higher rate of hypoglycemia on the DOS, as observed in a previous study.⁵

The observational study by Demma and colleagues found that patients receiving 75% of their evening, long-acting basal insulin dose were significantly more likely to achieve target blood glucose levels of 100 to 180 mg/dL than patients receiving no insulin at all (78% vs 0%; P = .001). However, no significant difference was noted when this group was compared with patients receiving 50% of their evening, long-acting basal insulin doses (78% vs 70%; P = .56). This is more clinically pertinent as it is generally accepted that the evening, long-acting insulin dose should not be entirely withheld on the evening before surgery.⁵

These findings are consistent with our observation that the rate of DOS hyperglycemia did not decrease with intensification of the evening, long-acting insulin dose from 50% to 100% of the prescribed dose in patients with HbA_1c levels > 8% (phase 2) and 50% to 75% of the prescribed dose in patients with HbA_1c levels ≤ 8% (phase 3). In the study by Demma and colleagues, few patients presented with preoperative hypoglycemia (2.7%) but all had received 100% of their evening, long-acting basal insulin dose, suggesting a significant increase in the rate of hypoglycemia compared with patients receiving lower doses of insulin (P = .01).⁵ However, long-term DM control as assessed by HbA_1c level was available for < 10% of the patients, making it difficult to evaluate the effect of overall DM control on the results.⁵ In our study, preoperative HbA_1c levels were available for 99.5% of the patients and only those with HbA_1c levels > 8% received 100% of their evening, long-acting insulin dose on the evening before surgery. Notably, we did not observe a higher rate of hypoglycemia in this patient population, indicating that preoperative insulin dose intensification is safe for this subgroup.

Although HCP adherence to perioperative DM management protocols has been identified as a predominant barrier to the delivery of optimal perioperative DM care, prior studies of various preoperative insulin protocols to reduce perioperative hyperglycemia have not reported HCP adherence to their insulin protocols or its effect on DOS hyperglycemia.^4-6 Additionally, patient adherence to HCP instructions is a key factor identified in our driver diagram that may influence DOS hyperglycemia, a hypothesis that is supported by a prior cross-sectional study showing an increased rate of hyperglycemia in the PACU with omission of preoperative DM medication.¹¹ In our study, patient adherence to preoperative medication management instructions was higher than reported previously and remained consistently high regardless of protocol changes, which may explain why patient adherence did not affect the rate of DOS hyperglycemia.

Although not part of our study protocol, our preoperative HCPs routinely prepare written patient instructions for the preoperative management of medications for all patients, which likely explains higher patient adherence to instructions in our study than seen in the previous study where written instructions were only encouraged.¹¹ However, HCP adherence to the protocol decreased after our phase 2 changes and was associated with a transient increase in DOS hyperglycemia rates. The DOS hyperglycemia rates returned to baseline levels with ongoing QI efforts and education to improve HCP adherence to protocol.

Limitations

Our QI initiative had several limitations. Nearly all patients were male veterans with T2DM, and most were older (range, 50-89 years). This limits the generalizability to women, younger patients, and people with type 1 DM. Additionally, our data collection relied on completion and collection of the preoperative form by different HCPs, allowing for sampling bias if some patients with DM undergoing elective noncardiac surgery were missed. Furthermore, although we could verify HCP adherence to the preoperative DM management protocols by reviewing their written instructions, we relied on patients’ self-reported adherence to the preoperative instructions. Finally, we did not evaluate postoperative blood glucose levels because the effect of intraoperative factors such as fluid, insulin, and glucocorticoid administration on postoperative glucose levels are variable. To the best of our knowledge, no other major systematic changes occurred in the preoperative care of patients with DM during the study period.

Conclusions

The findings of our QI initiative suggest that HCP adherence to preoperative DM management protocols may be a key contributor to DOS hyperglycemia and that ensuring HCP adherence may be as important as preoperative insulin dose adjustments. To our knowledge, this is the first study to report rates of HCP adherence to preoperative DM management protocols and its effect on DOS hyperglycemia. We will focus future QI efforts on optimizing HCP adherence to preoperative DM management protocols at our institution.

Acknowledgments

We thank our endocrinology expert, Dr. Kristina Utzschneider, for her guidance in designing this improvement project and our academic research coach, Dr. Helene Starks, for her help in editing the manuscript.

Perioperative hyperglycemia, defined as blood glucose levels ≥ 180 mg/dL in the immediate pre- and postoperative period, is associated with increased postoperative morbidity, including infections, preoperative interventions, and in-hospital mortality.^1-3 Despite being identified as a barrier to optimal perioperative glycemic control, limited evidence is available on patient or health care practitioner (HCP) adherence to preoperative insulin protocols.^4-6

Background

Despite mounting evidence of the advantages of maintaining perioperative glucose levels between 80 and 180 mg/dL, available guidelines vary in their recommendations for long-acting basal insulin dosing.^7-10 The Society of Ambulatory Anesthesia suggests using 100% of the prescribed evening dosage of long-acting basal insulin dose on the night before surgery in patients without a history of nocturnal or morning hypoglycemia (category 2A evidence).⁹ However, the revised 2016 United Kingdom National Health Service consensus guideline recommends using 80% to 100% of the prescribed evening dosage of long-acting basal insulin dose on the night before surgery.⁷ The 2022 American Diabetes Association references an observational study of patients with type 2 DM (T2DM) treated with evening-only, long-acting glargine insulin, indicating that the optimal basal insulin dose on the evening before surgery is about 75% of the outpatient dose.^5,10 However, in a randomized, prospective open trial of patients with DM treated with evening-only long-acting basal insulin, no significant difference was noted in the target day of surgery (DOS) glucose levels among different dosing strategies on the evening before surgery.⁶ Presently, the optimal dose of long-acting insulin analogs on the evening before surgery is unknown.

Additionally, little is known about the other factors that influence perioperative glycemic control. Several barriers to optimal perioperative care of patients with DM have been identified, including lack of prioritization by HCPs, lack of knowledge about current evidence-based recommendations, and lack of patient information and involvement.⁴ To determine the effect of patient adherence to preoperative medication instructions on postoperative outcome, a cross-sectional study assessed surgical patients admitted to the postanesthetic care unit (PACU) and found that only 70% of patients with insulin-treated DM took their medications preoperatively. Additionally, 23% of nonadherent patients who omitted their medications either did not understand or forgot preoperative medication management instructions. Preoperative DM medication omission was associated with higher rates of hyperglycemia in the PACU (23.8% vs 3.6%; P = .02).¹¹ Importantly, to our knowledge, the extent of HCP adherence to DM management protocols and the subsequent effect on DOS hyperglycemia has not been examined until now.For patients with DM treated with an evening dose of long-acting basal insulin (ie, either once-daily long-acting basal insulin in the evening or twice-daily long-acting basal insulin, both morning and evening) presenting for elective noncardiac surgery, our aim was to decrease the rate of DOS hyperglycemia from 29% (our baseline) to 15% by intensifying the dose of insulin on the evening before surgery without increasing the rate of hypoglycemia. We also sought to determine the rates of HCP adherence to our insulin protocols as well as patients’ self-reported adherence to HCP instructions over the course of this quality improvement (QI) initiative.

Quality Improvement Program

Our surgical department consists of 11 surgical subspecialties that performed approximately 4400 noncardiac surgeries in 2019. All patients undergoing elective surgery are evaluated in the preoperative clinic, which is staffed by an anesthesiology professional (attending and resident physicians, nurse practitioners, and physician assistants) and internal medicine attending physicians. At the preoperative visit, each patient is evaluated by anesthesiology; medically complex patients may also be referred to an internal medicine professional for further risk stratification and optimization before surgery.

At the preoperative clinic visit, HCPs prepare written patient instructions for the preoperative management of medications, including glucose-lowering medications, based on a DM management protocol that was implemented in 2016 for the preoperative management of insulin, noninsulin injectable agents, and oral hyperglycemic agents. According to this protocol, patients with DM treated with evening long-acting basal insulin (eg, glargine insulin) are instructed to take 50% of their usual evening dose the evening before surgery. A preoperative clinic nurse reviews the final preoperative medication instructions with the patient at the end of the clinic visit. Patients are also instructed to avoid oral intake other than water and necessary medications after midnight before surgery regardless of the time of surgery. On the DOS, the patient’s blood glucose level is measured on arrival to the presurgical area.

Our QI initiative focused only on the dose of self-administered, long-acting basal insulin on the evening before surgery. The effect of the morning of surgery long-acting insulin dose on the DOS glucose levels largely depends on the timing of surgery, which is variable; therefore, we did not target this dose for our initiative. Patients receiving intermediate-acting neutral protamine Hagedorn (NPH) insulin were excluded because our protocol does not recommend a dose reduction for NPH insulin on the evening before surgery.

We developed a comprehensive driver diagram to help elucidate the different factors contributing to DOS hyperglycemia and to guide specific QI interventions.¹² Some of the identified contributors to DOS hyperglycemia, such as the length of preoperative fasting and timing of surgery, are unpredictable and were deemed difficult to address preoperatively. Other contributors to DOS hyperglycemia, such as outpatient DM management, often require interventions over several months, which is well beyond the time usually allotted for preoperative evaluation and optimization. On the other hand, immediate preoperative insulin dosing directly affects DOS glycemic control; therefore, improvement of the preoperative insulin management protocol to optimize the dosage on the evening before surgery was considered to be an achievable QI goal with the potential for decreasing the rate of DOS hyperglycemia in patients presenting for elective noncardiac surgery.

We used the Model for Understanding Success in Quality (MUSIQ) as a framework to identify key contextual factors that may affect the success of our QI project.¹³ Limited resource availability and difficulty with dissemination of protocol changes in the preoperative clinic were determined to be potential barriers to the successful implementation of our QI initiative. Nonetheless, senior leadership support, microsystem QI culture, QI team skills, and physician involvement supported the implementation. The revised Standards for Quality Improvement Reporting Excellence (SQUIRE 2.0) guidelines were followed for this study.¹⁴

Interventions

With stakeholder input from anesthesiology, internal medicine, endocrinology, and nursing, we designed an intervention to iteratively change the HCP protocol instructions for long-acting insulin dosing on the evening before surgery. In phase 1 of the study (October 1, 2018, to March 11, 2019), we obtained baseline data on the rates of DOS hyperglycemia (blood glucose ≥ 180 mg/dL) and hypoglycemia (blood glucose < 80 mg/dL), as well as patient and HCP adherence rates to our existing preoperative DM protocol. For phase 2 (March 12, 2019, to July 22, 2019), the preoperative DM management protocol was changed to increase the dose of long-acting basal insulin on the evening before surgery for patients with hemoglobin A_1c (HbA_1c) levels > 8% from 50% of the usual outpatient dose to 100%. Finally, in phase 3 (July 23, 2019, to March 12, 2020), the protocol was changed to increase the dose of long-acting basal insulin on the evening before surgery for patients with HbA_1c levels ≤ 8% from 50% of the usual outpatient dose to 75% while sustaining the phase 2 change. Preoperative HCPs were informed of the protocol changes in person and were provided with electronic and hard copies of each new protocol.

Protocol

We used a prospective cohort design of 424 consecutive patients with DM who presented for preoperative evaluation for elective noncardiac surgery between October 1, 2018, and March 12, 2020. For the subset of 195 patients treated with an evening dose of long-acting basal insulin, we examined the effect of intensification of this preoperative basal insulin dose on DOS hyperglycemia and hypoglycemia, HCP adherence to iterative changes of the protocol, and patient adherence to HCP instructions on preoperative medication dosing. The QI project was concluded when elective surgeries were paused due to the COVID-19 pandemic.

We created a standardized preoperative data collection form that included information on the most recent HbA_1c, time, dose, and type of patient-administered insulin on the evening before surgery, and DOS blood glucose level. A preoperative clinic nurse completed the standardized preoperative data collection form. The HCP’s preoperative medication instructions and the preoperative data collection forms were gathered for review and data analysis.

The primary outcome was DOS hyperglycemia (blood glucose levels ≥ 180 mg/dL). We monitored the rate of DOS hypoglycemia (blood glucose levels < 80 mg/dL) as a balancing measure to ensure safety with long-acting basal insulin intensification. Although hypoglycemia is defined as a blood glucose level < 70 mg/dL, a target glucose range of 80 mg/dL to 180 mg/dL is recommended during the perioperative period.⁸ Therefore, we chose a more conservative definition of hypoglycemia (blood glucose levels < 80 mg/dL) to adhere to the recommended perioperative glucose target range.

Process measures included HCP adherence to each protocol change, which was assessed by comparing written preoperative patient instructions to the current protocol. Similarly, patient adherence to HCP-recommended long-acting basal insulin dosing was assessed by comparing written preoperative patient instructions to the patient’s self-reported time and dose of long-acting basal insulin on the evening before surgery. For any discrepancy between the HCP instructions and protocol or HCP-recommended dose and patient self-reported dose of long-acting basal insulin, a detailed chart review was performed to determine the etiology.

Statistical Analysis

We used the statistical process p-control chart to assess the effect of iterative changes to the preoperative long-acting basal insulin protocol on DOS hyperglycemia. The proportion defective (rate of DOS hyperglycemia) was plotted against time to determine whether the observed variations in the rate of DOS hyperglycemia over time were attributable to random common causes or special causes because of our intervention. The lower control limit (LCL) and upper control limit (UCL) define the limits of expected outcome measures in a stable process prior to introducing changes and were set at 3 SDs from the mean to balance the likelihood of type I (false-positive) and type II (false-negative) errors. Because of the variable interval sample sizes, we used the CRITBINOM function of Microsoft Excel to calculate the exact UCL satisfying the 3 SD limits of 0.99865.¹⁵ The Shewhart rules (outliers, runs or shifts, trends, sawtooth) were used to analyze the p-control chart to identify special cause signals resulting from our interventions.¹⁶ We used the statistical process t-control chart to record the time (days) between the few occurrences of DOS hypoglycemia because cases of hypoglycemia were rare.

Ethical Consideration

The Human Research Protection Program, Associate Chief of Staff for Research and Development, and Quality, Safety, and Values department reviewed this project in accordance with the Veterans Health Administration Program Guide 1200.21 and determined that it was a nonresearch operations activity; thus, approval by an institutional review board was not needed. The authors declare no competing interests.

Patient Outcomes

We prospectively followed 424 consecutive patients with DM undergoing elective noncardiac surgery from the time of the preoperative clinic evaluation until DOS; 195 patients were on evening

A subgroup analysis of DOS glucose levels in insulin-treated patients with preoperative HbA_1c levels > 8% did not demonstrate a change in the rate of

Discussion

The management and prevention of immediate perioperative hyperglycemia and glycemic variability have attracted attention as evidence has mounted for their association with postoperative morbidity and mortality.^1,2,17 Available guidelines for preventing DOS hyperglycemia vary in their recommendations for preoperative insulin management.^7-10 Notably, concerns about iatrogenic hypoglycemia often hinder efforts to lower rates of DOS hyperglycemia.⁴ We successfully implemented an iterative intensification protocol for preoperative long-acting basal insulin doses on the evening before surgery but did not observe a lower rate of hyperglycemia. Importantly, we also did not observe a higher rate of hypoglycemia on the DOS, as observed in a previous study.⁵

The observational study by Demma and colleagues found that patients receiving 75% of their evening, long-acting basal insulin dose were significantly more likely to achieve target blood glucose levels of 100 to 180 mg/dL than patients receiving no insulin at all (78% vs 0%; P = .001). However, no significant difference was noted when this group was compared with patients receiving 50% of their evening, long-acting basal insulin doses (78% vs 70%; P = .56). This is more clinically pertinent as it is generally accepted that the evening, long-acting insulin dose should not be entirely withheld on the evening before surgery.⁵

These findings are consistent with our observation that the rate of DOS hyperglycemia did not decrease with intensification of the evening, long-acting insulin dose from 50% to 100% of the prescribed dose in patients with HbA_1c levels > 8% (phase 2) and 50% to 75% of the prescribed dose in patients with HbA_1c levels ≤ 8% (phase 3). In the study by Demma and colleagues, few patients presented with preoperative hypoglycemia (2.7%) but all had received 100% of their evening, long-acting basal insulin dose, suggesting a significant increase in the rate of hypoglycemia compared with patients receiving lower doses of insulin (P = .01).⁵ However, long-term DM control as assessed by HbA_1c level was available for < 10% of the patients, making it difficult to evaluate the effect of overall DM control on the results.⁵ In our study, preoperative HbA_1c levels were available for 99.5% of the patients and only those with HbA_1c levels > 8% received 100% of their evening, long-acting insulin dose on the evening before surgery. Notably, we did not observe a higher rate of hypoglycemia in this patient population, indicating that preoperative insulin dose intensification is safe for this subgroup.

Although HCP adherence to perioperative DM management protocols has been identified as a predominant barrier to the delivery of optimal perioperative DM care, prior studies of various preoperative insulin protocols to reduce perioperative hyperglycemia have not reported HCP adherence to their insulin protocols or its effect on DOS hyperglycemia.^4-6 Additionally, patient adherence to HCP instructions is a key factor identified in our driver diagram that may influence DOS hyperglycemia, a hypothesis that is supported by a prior cross-sectional study showing an increased rate of hyperglycemia in the PACU with omission of preoperative DM medication.¹¹ In our study, patient adherence to preoperative medication management instructions was higher than reported previously and remained consistently high regardless of protocol changes, which may explain why patient adherence did not affect the rate of DOS hyperglycemia.

Although not part of our study protocol, our preoperative HCPs routinely prepare written patient instructions for the preoperative management of medications for all patients, which likely explains higher patient adherence to instructions in our study than seen in the previous study where written instructions were only encouraged.¹¹ However, HCP adherence to the protocol decreased after our phase 2 changes and was associated with a transient increase in DOS hyperglycemia rates. The DOS hyperglycemia rates returned to baseline levels with ongoing QI efforts and education to improve HCP adherence to protocol.

Limitations

Our QI initiative had several limitations. Nearly all patients were male veterans with T2DM, and most were older (range, 50-89 years). This limits the generalizability to women, younger patients, and people with type 1 DM. Additionally, our data collection relied on completion and collection of the preoperative form by different HCPs, allowing for sampling bias if some patients with DM undergoing elective noncardiac surgery were missed. Furthermore, although we could verify HCP adherence to the preoperative DM management protocols by reviewing their written instructions, we relied on patients’ self-reported adherence to the preoperative instructions. Finally, we did not evaluate postoperative blood glucose levels because the effect of intraoperative factors such as fluid, insulin, and glucocorticoid administration on postoperative glucose levels are variable. To the best of our knowledge, no other major systematic changes occurred in the preoperative care of patients with DM during the study period.

Conclusions

The findings of our QI initiative suggest that HCP adherence to preoperative DM management protocols may be a key contributor to DOS hyperglycemia and that ensuring HCP adherence may be as important as preoperative insulin dose adjustments. To our knowledge, this is the first study to report rates of HCP adherence to preoperative DM management protocols and its effect on DOS hyperglycemia. We will focus future QI efforts on optimizing HCP adherence to preoperative DM management protocols at our institution.

Acknowledgments

We thank our endocrinology expert, Dr. Kristina Utzschneider, for her guidance in designing this improvement project and our academic research coach, Dr. Helene Starks, for her help in editing the manuscript.

Understanding of the key mechanisms underlying the progression of type 2 diabetes has been advanced by new research from Oxford (England) University suggesting potential ways to “slow the seemingly inexorable decline in beta-cell function in T2D”.

The study in mice elucidated a “key cause” of T2D by showing that high blood glucose reprograms the metabolism of pancreatic beta-cells, helping to explain the progressive decline in their function in diabetes.

Scientists already knew that chronic hyperglycemia leads to a progressive decline in beta-cell function and, conversely, that the failure of pancreatic beta-cells to produce insulin results in chronically elevated blood glucose. However, the exact cause of beta-cell failure in T2D has remained unclear. T2D typically presents in later adult life, and by the time of diagnosis as much as 50% of beta-cell function has been lost.

In the United Kingdom there are nearly 5 million people diagnosed with T2D, which costs the National Health Service some £10 billion annually.
 

Glucose metabolites, rather than glucose itself, drives failure of cells to release insulin

The new study, published in Nature Communications, used both an animal model of diabetes and in vitro culture of beta-cells in a high glucose medium. In both cases the researchers showed, for the first time, that it is glucose metabolites, rather than glucose itself, that drives the failure of beta-cells to release insulin and is key to the progression of type 2 diabetes. 

Senior researcher Frances Ashcroft, PhD, of the department of physiology, anatomy and genetics at the University of Oxford said: “This suggests a potential way in which the decline in beta-cell function in T2D might be slowed or prevented.”

Blood glucose concentration is controlled within narrow limits, the team explained. When it is too low for more than few minutes, consciousness is rapidly lost because the brain is starved of fuel. However chronic elevation of blood glucose leads to the serious complications found in poorly controlled diabetes, such as retinopathy, nephropathy, peripheral neuropathy, and cardiac disease. Insulin, released from pancreatic beta-cells when blood glucose levels rise, is the only hormone that can lower the blood glucose concentration, and insufficient secretion results in diabetes. In T2D, the beta-cells are still present (unlike in T1D), but they have a reduced insulin content and the coupling between glucose and insulin release is impaired. 
 

Vicious spiral of hyperglycemia and beta-cell damage

Previous work by the same team had shown that chronic hyperglycemia damages the ability of the beta-cell to produce insulin and to release it when blood glucose levels rise. This suggested that “prolonged hyperglycemia sets off a vicious spiral in which an increase in blood glucose leads to beta-cell damage and less insulin secretion - which causes an even greater increase in blood glucose and a further decline in beta-cell function,” the team explained. 

Lead researcher Elizabeth Haythorne, PhD, said: “We realized that we next needed to understand how glucose damages beta-cell function, so we can think about how we might stop it and so slow the seemingly inexorable decline in beta-cell function in T2D.”

In the new study, they showed that altered glycolysis in T2D occurs, in part, through marked up-regulation of mammalian target of rapamycin complex 1 (mTORC1), a protein complex involved in control of cell growth, dysregulation of which underlies a variety of human diseases, including diabetes. Up-regulation of mTORC1 led to changes in metabolic gene expression, oxidative phosphorylation and insulin secretion. Furthermore, they demonstrated that reducing the rate at which glucose is metabolized and at which its metabolites build up could prevent the effects of chronic hyperglycemia and the ensuing beta-cell failure. 

“High blood glucose levels cause an increased rate of glucose metabolism in the beta-cell, which leads to a metabolic bottleneck and the pooling of upstream metabolites,” the team said. “These metabolites switch off the insulin gene, so less insulin is made, as well as switching off numerous genes involved in metabolism and stimulus-secretion coupling. Consequently, the beta-cells become glucose blind and no longer respond to changes in blood glucose with insulin secretion.”
 

Blocking metabolic enzyme could maintain insulin secretion

The team attempted to block the first step in glucose metabolism, and therefore prevent the gene changes from taking place, by blocking the enzyme glucokinase, which regulates the process. They found that this could maintain glucose-stimulated insulin secretion even in the presence of chronic hyperglycemia.

“Our results support the idea that progressive impairment of beta-cell metabolism, induced by increasing hyperglycemia, speeds T2D development, and suggest that reducing glycolysis at the level of glucokinase may slow this progression,” they said.

Dr. Ashcroft said: “This is potentially a useful way to try to prevent beta-cell decline in diabetes. Because glucose metabolism normally stimulates insulin secretion, it was previously hypothesized that increasing glucose metabolism would enhance insulin secretion in T2D and glucokinase activators were trialled, with varying results. 

“Our data suggests that glucokinase activators could have an adverse effect and, somewhat counter-intuitively, that a glucokinase inhibitor might be a better strategy to treat T2D. Of course, it would be important to reduce glucose flux in T2D to that found in people without diabetes – and no further. But there is a very long way to go before we can tell if this approach would be useful for treating beta-cell decline in T2D. 

“In the meantime, the key message from our study if you have type 2 diabetes is that it is important to keep your blood glucose well controlled.”

This study was funded by the UK Medical Research Council, the Biotechnology and Biological Sciences Research Council, the John Fell Fund, and the Nuffield Benefaction for Medicine/Wellcome Institutional Strategic Support Fund. The authors declared no competing interests.

A version of this article first appeared on Medscape UK.

Understanding of the key mechanisms underlying the progression of type 2 diabetes has been advanced by new research from Oxford (England) University suggesting potential ways to “slow the seemingly inexorable decline in beta-cell function in T2D”.

The study in mice elucidated a “key cause” of T2D by showing that high blood glucose reprograms the metabolism of pancreatic beta-cells, helping to explain the progressive decline in their function in diabetes.

Scientists already knew that chronic hyperglycemia leads to a progressive decline in beta-cell function and, conversely, that the failure of pancreatic beta-cells to produce insulin results in chronically elevated blood glucose. However, the exact cause of beta-cell failure in T2D has remained unclear. T2D typically presents in later adult life, and by the time of diagnosis as much as 50% of beta-cell function has been lost.

In the United Kingdom there are nearly 5 million people diagnosed with T2D, which costs the National Health Service some £10 billion annually.
 

Glucose metabolites, rather than glucose itself, drives failure of cells to release insulin

The new study, published in Nature Communications, used both an animal model of diabetes and in vitro culture of beta-cells in a high glucose medium. In both cases the researchers showed, for the first time, that it is glucose metabolites, rather than glucose itself, that drives the failure of beta-cells to release insulin and is key to the progression of type 2 diabetes. 

Senior researcher Frances Ashcroft, PhD, of the department of physiology, anatomy and genetics at the University of Oxford said: “This suggests a potential way in which the decline in beta-cell function in T2D might be slowed or prevented.”

Blood glucose concentration is controlled within narrow limits, the team explained. When it is too low for more than few minutes, consciousness is rapidly lost because the brain is starved of fuel. However chronic elevation of blood glucose leads to the serious complications found in poorly controlled diabetes, such as retinopathy, nephropathy, peripheral neuropathy, and cardiac disease. Insulin, released from pancreatic beta-cells when blood glucose levels rise, is the only hormone that can lower the blood glucose concentration, and insufficient secretion results in diabetes. In T2D, the beta-cells are still present (unlike in T1D), but they have a reduced insulin content and the coupling between glucose and insulin release is impaired. 
 

Vicious spiral of hyperglycemia and beta-cell damage

Previous work by the same team had shown that chronic hyperglycemia damages the ability of the beta-cell to produce insulin and to release it when blood glucose levels rise. This suggested that “prolonged hyperglycemia sets off a vicious spiral in which an increase in blood glucose leads to beta-cell damage and less insulin secretion - which causes an even greater increase in blood glucose and a further decline in beta-cell function,” the team explained. 

Lead researcher Elizabeth Haythorne, PhD, said: “We realized that we next needed to understand how glucose damages beta-cell function, so we can think about how we might stop it and so slow the seemingly inexorable decline in beta-cell function in T2D.”

In the new study, they showed that altered glycolysis in T2D occurs, in part, through marked up-regulation of mammalian target of rapamycin complex 1 (mTORC1), a protein complex involved in control of cell growth, dysregulation of which underlies a variety of human diseases, including diabetes. Up-regulation of mTORC1 led to changes in metabolic gene expression, oxidative phosphorylation and insulin secretion. Furthermore, they demonstrated that reducing the rate at which glucose is metabolized and at which its metabolites build up could prevent the effects of chronic hyperglycemia and the ensuing beta-cell failure. 

“High blood glucose levels cause an increased rate of glucose metabolism in the beta-cell, which leads to a metabolic bottleneck and the pooling of upstream metabolites,” the team said. “These metabolites switch off the insulin gene, so less insulin is made, as well as switching off numerous genes involved in metabolism and stimulus-secretion coupling. Consequently, the beta-cells become glucose blind and no longer respond to changes in blood glucose with insulin secretion.”
 

Blocking metabolic enzyme could maintain insulin secretion

The team attempted to block the first step in glucose metabolism, and therefore prevent the gene changes from taking place, by blocking the enzyme glucokinase, which regulates the process. They found that this could maintain glucose-stimulated insulin secretion even in the presence of chronic hyperglycemia.

“Our results support the idea that progressive impairment of beta-cell metabolism, induced by increasing hyperglycemia, speeds T2D development, and suggest that reducing glycolysis at the level of glucokinase may slow this progression,” they said.

Dr. Ashcroft said: “This is potentially a useful way to try to prevent beta-cell decline in diabetes. Because glucose metabolism normally stimulates insulin secretion, it was previously hypothesized that increasing glucose metabolism would enhance insulin secretion in T2D and glucokinase activators were trialled, with varying results. 

“Our data suggests that glucokinase activators could have an adverse effect and, somewhat counter-intuitively, that a glucokinase inhibitor might be a better strategy to treat T2D. Of course, it would be important to reduce glucose flux in T2D to that found in people without diabetes – and no further. But there is a very long way to go before we can tell if this approach would be useful for treating beta-cell decline in T2D. 

“In the meantime, the key message from our study if you have type 2 diabetes is that it is important to keep your blood glucose well controlled.”

This study was funded by the UK Medical Research Council, the Biotechnology and Biological Sciences Research Council, the John Fell Fund, and the Nuffield Benefaction for Medicine/Wellcome Institutional Strategic Support Fund. The authors declared no competing interests.

A version of this article first appeared on Medscape UK.

Understanding of the key mechanisms underlying the progression of type 2 diabetes has been advanced by new research from Oxford (England) University suggesting potential ways to “slow the seemingly inexorable decline in beta-cell function in T2D”.

The study in mice elucidated a “key cause” of T2D by showing that high blood glucose reprograms the metabolism of pancreatic beta-cells, helping to explain the progressive decline in their function in diabetes.

Scientists already knew that chronic hyperglycemia leads to a progressive decline in beta-cell function and, conversely, that the failure of pancreatic beta-cells to produce insulin results in chronically elevated blood glucose. However, the exact cause of beta-cell failure in T2D has remained unclear. T2D typically presents in later adult life, and by the time of diagnosis as much as 50% of beta-cell function has been lost.

In the United Kingdom there are nearly 5 million people diagnosed with T2D, which costs the National Health Service some £10 billion annually.
 

Glucose metabolites, rather than glucose itself, drives failure of cells to release insulin

The new study, published in Nature Communications, used both an animal model of diabetes and in vitro culture of beta-cells in a high glucose medium. In both cases the researchers showed, for the first time, that it is glucose metabolites, rather than glucose itself, that drives the failure of beta-cells to release insulin and is key to the progression of type 2 diabetes. 

Senior researcher Frances Ashcroft, PhD, of the department of physiology, anatomy and genetics at the University of Oxford said: “This suggests a potential way in which the decline in beta-cell function in T2D might be slowed or prevented.”

Blood glucose concentration is controlled within narrow limits, the team explained. When it is too low for more than few minutes, consciousness is rapidly lost because the brain is starved of fuel. However chronic elevation of blood glucose leads to the serious complications found in poorly controlled diabetes, such as retinopathy, nephropathy, peripheral neuropathy, and cardiac disease. Insulin, released from pancreatic beta-cells when blood glucose levels rise, is the only hormone that can lower the blood glucose concentration, and insufficient secretion results in diabetes. In T2D, the beta-cells are still present (unlike in T1D), but they have a reduced insulin content and the coupling between glucose and insulin release is impaired. 
 

Vicious spiral of hyperglycemia and beta-cell damage

Previous work by the same team had shown that chronic hyperglycemia damages the ability of the beta-cell to produce insulin and to release it when blood glucose levels rise. This suggested that “prolonged hyperglycemia sets off a vicious spiral in which an increase in blood glucose leads to beta-cell damage and less insulin secretion - which causes an even greater increase in blood glucose and a further decline in beta-cell function,” the team explained. 

Lead researcher Elizabeth Haythorne, PhD, said: “We realized that we next needed to understand how glucose damages beta-cell function, so we can think about how we might stop it and so slow the seemingly inexorable decline in beta-cell function in T2D.”

In the new study, they showed that altered glycolysis in T2D occurs, in part, through marked up-regulation of mammalian target of rapamycin complex 1 (mTORC1), a protein complex involved in control of cell growth, dysregulation of which underlies a variety of human diseases, including diabetes. Up-regulation of mTORC1 led to changes in metabolic gene expression, oxidative phosphorylation and insulin secretion. Furthermore, they demonstrated that reducing the rate at which glucose is metabolized and at which its metabolites build up could prevent the effects of chronic hyperglycemia and the ensuing beta-cell failure. 

“High blood glucose levels cause an increased rate of glucose metabolism in the beta-cell, which leads to a metabolic bottleneck and the pooling of upstream metabolites,” the team said. “These metabolites switch off the insulin gene, so less insulin is made, as well as switching off numerous genes involved in metabolism and stimulus-secretion coupling. Consequently, the beta-cells become glucose blind and no longer respond to changes in blood glucose with insulin secretion.”
 

Blocking metabolic enzyme could maintain insulin secretion

The team attempted to block the first step in glucose metabolism, and therefore prevent the gene changes from taking place, by blocking the enzyme glucokinase, which regulates the process. They found that this could maintain glucose-stimulated insulin secretion even in the presence of chronic hyperglycemia.

“Our results support the idea that progressive impairment of beta-cell metabolism, induced by increasing hyperglycemia, speeds T2D development, and suggest that reducing glycolysis at the level of glucokinase may slow this progression,” they said.

Dr. Ashcroft said: “This is potentially a useful way to try to prevent beta-cell decline in diabetes. Because glucose metabolism normally stimulates insulin secretion, it was previously hypothesized that increasing glucose metabolism would enhance insulin secretion in T2D and glucokinase activators were trialled, with varying results. 

“Our data suggests that glucokinase activators could have an adverse effect and, somewhat counter-intuitively, that a glucokinase inhibitor might be a better strategy to treat T2D. Of course, it would be important to reduce glucose flux in T2D to that found in people without diabetes – and no further. But there is a very long way to go before we can tell if this approach would be useful for treating beta-cell decline in T2D. 

“In the meantime, the key message from our study if you have type 2 diabetes is that it is important to keep your blood glucose well controlled.”

This study was funded by the UK Medical Research Council, the Biotechnology and Biological Sciences Research Council, the John Fell Fund, and the Nuffield Benefaction for Medicine/Wellcome Institutional Strategic Support Fund. The authors declared no competing interests.

A version of this article first appeared on Medscape UK.

CHICAGO – A new, expanded meta-analysis confirmed the long-known effect that statin treatment has on raising blood glucose levels and causing incident diabetes, but it also documented that these effects are small and any risk they pose to statin users is dwarfed by the cholesterol-lowering effect of statins and their ability to reduce risk for atherosclerotic cardiovascular disease (ASCVD).

Mitchel L. Zoler/MDedge

This meta-analysis of 23 trials with a total of more than 150,000 participants showed that statin therapy significantly increased the risk for new-onset diabetes and worsening glycemia, driven by a “very small but generalized increase in glucose,” with a greater effect from high-intensity statin regimens and a similar but somewhat more muted effect from low- and moderate-intensity statin treatment, David Preiss, MBChB, PhD, reported at the American Heart Association scientific sessions.

Dr. Preiss also stressed that despite this, “the cardiovascular benefits of statin therapy remain substantial and profound” in people regardless of whether they have diabetes, prediabetes, or normoglycemia when they start statin treatment, noting that the impact of even high-intensity statin treatment is “absolutely tiny” increases in hemoglobin A1c and blood glucose.

“This does not detract from the substantial benefit of statin treatment,” declared Dr. Preiss, a metabolic medicine specialist and endocrinologist at Oxford (England) University.
 

Small glycemia increases ‘nudge’ some into diabetes

The data Dr. Preiss reported showed that high-intensity statin treatment (atorvastatin at a daily dose of at least 40 mg, or rosuvastatin at a daily dose of at least 20 mg) led to an average increase in A1c levels of 0.08 percentage points among people without diabetes when their treatment began and 0.24 percentage points among people already diagnosed with diabetes. Blood glucose levels rose by an average of 0.04 mmol/L (less than 1 mg/d) in those without diabetes, and by an average 0.22 mmol/L (about 4 mg/dL) in those with diabetes. People who received low- or moderate-intensity statin regimens had significant but smaller increases.

“We’re not talking about people going from no diabetes to frank diabetes. We’re talking about [statins] nudging a very small number of people across a diabetes threshold,” an A1c of 6.5% that is set somewhat arbitrarily based on an increased risk for developing retinopathy, Dr. Preiss said. ”A person just needs to lose a [daily] can of Coke’s worth of weight to eliminate any apparent diabetes risk,” he noted.
 

Benefit outweighs risks by three- to sevenfold

Dr. Preiss presented two other examples of what his findings showed to illustrate the relatively small risk posed by statin therapy compared with its potential benefits. Treating 10,000 people for 5 years with a high-intensity statin regimen in those with established ASCVD (secondary prevention) would result in an increment of 150 extra people developing diabetes because of the hyperglycemic effect of statins, compared with an expected prevention of 1,000 ASCVD events. Among 10,000 people at high ASCVD risk and taking a high-intensity statin regimen for primary prevention 5 years of treatment would result in roughly 130 extra cases of incident diabetes while preventing about 500 ASCVD events.

In addition, applying the new risk estimates to the people included in the UK Biobank database, whose median A1c is 5.5%, showed that a high-intensity statin regimen could be expected to raise the prevalence of those with an A1c of 6.5% or greater from 4.5% to 5.7%.

Several preventive cardiologists who heard the report and were not involved with the analysis agreed with Dr. Preiss that the benefits of statin treatment substantially offset this confirmed hyperglycemic effect.
 

Risk ‘more than counterbalanced by benefit’

“He clearly showed that the small hyperglycemia risk posed by statin use is more than counterbalanced by its benefit for reducing ASCVD events,” commented Neil J. Stone, MD, a cardiologist and professor of medicine at Northwestern University, Chicago. “I agree that, for those with prediabetes who are on the road to diabetes with or without a statin, the small increase in glucose with a statin should not dissuade statin usage because the benefit is so large. Rather, it should focus efforts to improve diet, increase physical activity, and keep weight controlled.”

Dr. Stone also noted in an interview that in the JUPITER trial, which examined the effects of a daily 20-mg dose of rosuvastatin (Crestor), a high-intensity regimen, study participants with diabetes risk factors who were assigned to rosuvastatin had an onset of diabetes that was earlier than people assigned to placebo by only about 5.4 weeks, yet this group had evidence of significant benefit.

Mitchel L. Zoler/MDedge News

“I agree with Dr. Preiss that the benefits of statins in reducing heart attack, stroke, and cardiovascular death far outweigh their modest effects on glycemia,” commented Brendan M. Everett, MD, a cardiologist and preventive medicine specialist at Brigham and Women’s Hospital in Boston. “This is particularly true for those with preexisting prediabetes or diabetes, who have an elevated risk of atherosclerotic events and thus stand to derive more significant benefit from statins. The benefits of lowering LDL cholesterol with a statin for preventing seriously morbid, and potentially fatal, cardiovascular events far outweigh the extremely modest, or even negligible, increases in the risk of diabetes that could be seen with the extremely small increases in A1c,” Dr. Everett said in an interview.

The new findings “reaffirm that there is a increased risk [from statins] but the most important point is that it is a very, very tiny difference in A1c,” commented Marc S. Sabatine, MD, a cardiologist and professor at Harvard Medical School, Boston. “These data have been known for quite some time, but this analysis was done in a more rigorous way.” The finding of “a small increase in risk for diabetes is really because diabetes has a biochemical threshold and statin treatment nudges some people a little past a line that is semi-arbitrary. It’s important to be cognizant of this, but it in no way dissuades me from treating patients aggressively with statins to reduce their ASCVD risk. I would monitor their A1c levels, and if they go higher and can’t be controlled with lifestyle we have plenty of medications that can control it,” he said in an interview.
 

No difference by statin type

The meta-analysis used data from 13 placebo-controlled statin trials that together involved 123,940 participants and had an average 4.3 years of follow-up, and four trials that compared one statin with another and collectively involved 30,734 participants with an average 4.9 years of follow-up.

The analyses showed that high-intensity statin treatment increased the rate of incident diabetes by a significant 36% relative to controls and increased the rate of worsening glycemia by a significant 24% compared with controls. Low- or moderate-intensity statin regimens increased incident diabetes by a significant 10% and raised the incidence of worsening glycemia by a significant 10% compared with controls, Dr. Preiss reported.

These effects did not significantly differ by type of statin (the study included people treated with atorvastatin, fluvastatin, lovastatin, pravastatin, rosuvastatin, and simvastatin), nor across a variety of subgroups based on age, sex, race, body mass index, diabetes risk, renal function, cholesterol levels, or cardiovascular disease. The effect was also consistent regardless of the duration of treatment.

Dr. Preiss also downplayed the magnitude of the apparent difference in risk posed by high-intensity and less intense statin regimens. “I suspect the apparent heterogeneity is true, but not quite as big as what we see,” he said.

The mechanisms by which statins have this effect remain unclear, but evidence suggests that it may be a direct effect of the main action of statins, inhibition of the HMG-CoA reductase enzyme.

The study received no commercial funding. Dr. Preiss and Dr. Stone had no disclosures. Dr. Everett has been a consultant to Eli Lilly, Gilead, Ipsen, Janssen, and Provention. Dr. Sabatine has been a consultant to Althera, Amgen, Anthos Therapeutics, AstraZeneca, Beren Therapeutics, Bristol-Myers Squibb, DalCor, Dr Reddy’s Laboratories, Fibrogen, Intarcia, Merck, Moderna, Novo Nordisk, and Silence Therapeutics.

CHICAGO – A new, expanded meta-analysis confirmed the long-known effect that statin treatment has on raising blood glucose levels and causing incident diabetes, but it also documented that these effects are small and any risk they pose to statin users is dwarfed by the cholesterol-lowering effect of statins and their ability to reduce risk for atherosclerotic cardiovascular disease (ASCVD).

Mitchel L. Zoler/MDedge

This meta-analysis of 23 trials with a total of more than 150,000 participants showed that statin therapy significantly increased the risk for new-onset diabetes and worsening glycemia, driven by a “very small but generalized increase in glucose,” with a greater effect from high-intensity statin regimens and a similar but somewhat more muted effect from low- and moderate-intensity statin treatment, David Preiss, MBChB, PhD, reported at the American Heart Association scientific sessions.

Dr. Preiss also stressed that despite this, “the cardiovascular benefits of statin therapy remain substantial and profound” in people regardless of whether they have diabetes, prediabetes, or normoglycemia when they start statin treatment, noting that the impact of even high-intensity statin treatment is “absolutely tiny” increases in hemoglobin A1c and blood glucose.

“This does not detract from the substantial benefit of statin treatment,” declared Dr. Preiss, a metabolic medicine specialist and endocrinologist at Oxford (England) University.
 

Small glycemia increases ‘nudge’ some into diabetes

The data Dr. Preiss reported showed that high-intensity statin treatment (atorvastatin at a daily dose of at least 40 mg, or rosuvastatin at a daily dose of at least 20 mg) led to an average increase in A1c levels of 0.08 percentage points among people without diabetes when their treatment began and 0.24 percentage points among people already diagnosed with diabetes. Blood glucose levels rose by an average of 0.04 mmol/L (less than 1 mg/d) in those without diabetes, and by an average 0.22 mmol/L (about 4 mg/dL) in those with diabetes. People who received low- or moderate-intensity statin regimens had significant but smaller increases.

“We’re not talking about people going from no diabetes to frank diabetes. We’re talking about [statins] nudging a very small number of people across a diabetes threshold,” an A1c of 6.5% that is set somewhat arbitrarily based on an increased risk for developing retinopathy, Dr. Preiss said. ”A person just needs to lose a [daily] can of Coke’s worth of weight to eliminate any apparent diabetes risk,” he noted.
 

Benefit outweighs risks by three- to sevenfold

Dr. Preiss presented two other examples of what his findings showed to illustrate the relatively small risk posed by statin therapy compared with its potential benefits. Treating 10,000 people for 5 years with a high-intensity statin regimen in those with established ASCVD (secondary prevention) would result in an increment of 150 extra people developing diabetes because of the hyperglycemic effect of statins, compared with an expected prevention of 1,000 ASCVD events. Among 10,000 people at high ASCVD risk and taking a high-intensity statin regimen for primary prevention 5 years of treatment would result in roughly 130 extra cases of incident diabetes while preventing about 500 ASCVD events.

In addition, applying the new risk estimates to the people included in the UK Biobank database, whose median A1c is 5.5%, showed that a high-intensity statin regimen could be expected to raise the prevalence of those with an A1c of 6.5% or greater from 4.5% to 5.7%.

Several preventive cardiologists who heard the report and were not involved with the analysis agreed with Dr. Preiss that the benefits of statin treatment substantially offset this confirmed hyperglycemic effect.
 

Risk ‘more than counterbalanced by benefit’

“He clearly showed that the small hyperglycemia risk posed by statin use is more than counterbalanced by its benefit for reducing ASCVD events,” commented Neil J. Stone, MD, a cardiologist and professor of medicine at Northwestern University, Chicago. “I agree that, for those with prediabetes who are on the road to diabetes with or without a statin, the small increase in glucose with a statin should not dissuade statin usage because the benefit is so large. Rather, it should focus efforts to improve diet, increase physical activity, and keep weight controlled.”

Dr. Stone also noted in an interview that in the JUPITER trial, which examined the effects of a daily 20-mg dose of rosuvastatin (Crestor), a high-intensity regimen, study participants with diabetes risk factors who were assigned to rosuvastatin had an onset of diabetes that was earlier than people assigned to placebo by only about 5.4 weeks, yet this group had evidence of significant benefit.

Mitchel L. Zoler/MDedge News

“I agree with Dr. Preiss that the benefits of statins in reducing heart attack, stroke, and cardiovascular death far outweigh their modest effects on glycemia,” commented Brendan M. Everett, MD, a cardiologist and preventive medicine specialist at Brigham and Women’s Hospital in Boston. “This is particularly true for those with preexisting prediabetes or diabetes, who have an elevated risk of atherosclerotic events and thus stand to derive more significant benefit from statins. The benefits of lowering LDL cholesterol with a statin for preventing seriously morbid, and potentially fatal, cardiovascular events far outweigh the extremely modest, or even negligible, increases in the risk of diabetes that could be seen with the extremely small increases in A1c,” Dr. Everett said in an interview.

The new findings “reaffirm that there is a increased risk [from statins] but the most important point is that it is a very, very tiny difference in A1c,” commented Marc S. Sabatine, MD, a cardiologist and professor at Harvard Medical School, Boston. “These data have been known for quite some time, but this analysis was done in a more rigorous way.” The finding of “a small increase in risk for diabetes is really because diabetes has a biochemical threshold and statin treatment nudges some people a little past a line that is semi-arbitrary. It’s important to be cognizant of this, but it in no way dissuades me from treating patients aggressively with statins to reduce their ASCVD risk. I would monitor their A1c levels, and if they go higher and can’t be controlled with lifestyle we have plenty of medications that can control it,” he said in an interview.
 

No difference by statin type

The meta-analysis used data from 13 placebo-controlled statin trials that together involved 123,940 participants and had an average 4.3 years of follow-up, and four trials that compared one statin with another and collectively involved 30,734 participants with an average 4.9 years of follow-up.

The analyses showed that high-intensity statin treatment increased the rate of incident diabetes by a significant 36% relative to controls and increased the rate of worsening glycemia by a significant 24% compared with controls. Low- or moderate-intensity statin regimens increased incident diabetes by a significant 10% and raised the incidence of worsening glycemia by a significant 10% compared with controls, Dr. Preiss reported.

These effects did not significantly differ by type of statin (the study included people treated with atorvastatin, fluvastatin, lovastatin, pravastatin, rosuvastatin, and simvastatin), nor across a variety of subgroups based on age, sex, race, body mass index, diabetes risk, renal function, cholesterol levels, or cardiovascular disease. The effect was also consistent regardless of the duration of treatment.

Dr. Preiss also downplayed the magnitude of the apparent difference in risk posed by high-intensity and less intense statin regimens. “I suspect the apparent heterogeneity is true, but not quite as big as what we see,” he said.

The mechanisms by which statins have this effect remain unclear, but evidence suggests that it may be a direct effect of the main action of statins, inhibition of the HMG-CoA reductase enzyme.

The study received no commercial funding. Dr. Preiss and Dr. Stone had no disclosures. Dr. Everett has been a consultant to Eli Lilly, Gilead, Ipsen, Janssen, and Provention. Dr. Sabatine has been a consultant to Althera, Amgen, Anthos Therapeutics, AstraZeneca, Beren Therapeutics, Bristol-Myers Squibb, DalCor, Dr Reddy’s Laboratories, Fibrogen, Intarcia, Merck, Moderna, Novo Nordisk, and Silence Therapeutics.

CHICAGO – A new, expanded meta-analysis confirmed the long-known effect that statin treatment has on raising blood glucose levels and causing incident diabetes, but it also documented that these effects are small and any risk they pose to statin users is dwarfed by the cholesterol-lowering effect of statins and their ability to reduce risk for atherosclerotic cardiovascular disease (ASCVD).

Mitchel L. Zoler/MDedge

This meta-analysis of 23 trials with a total of more than 150,000 participants showed that statin therapy significantly increased the risk for new-onset diabetes and worsening glycemia, driven by a “very small but generalized increase in glucose,” with a greater effect from high-intensity statin regimens and a similar but somewhat more muted effect from low- and moderate-intensity statin treatment, David Preiss, MBChB, PhD, reported at the American Heart Association scientific sessions.

Dr. Preiss also stressed that despite this, “the cardiovascular benefits of statin therapy remain substantial and profound” in people regardless of whether they have diabetes, prediabetes, or normoglycemia when they start statin treatment, noting that the impact of even high-intensity statin treatment is “absolutely tiny” increases in hemoglobin A1c and blood glucose.

“This does not detract from the substantial benefit of statin treatment,” declared Dr. Preiss, a metabolic medicine specialist and endocrinologist at Oxford (England) University.
 

Small glycemia increases ‘nudge’ some into diabetes

The data Dr. Preiss reported showed that high-intensity statin treatment (atorvastatin at a daily dose of at least 40 mg, or rosuvastatin at a daily dose of at least 20 mg) led to an average increase in A1c levels of 0.08 percentage points among people without diabetes when their treatment began and 0.24 percentage points among people already diagnosed with diabetes. Blood glucose levels rose by an average of 0.04 mmol/L (less than 1 mg/d) in those without diabetes, and by an average 0.22 mmol/L (about 4 mg/dL) in those with diabetes. People who received low- or moderate-intensity statin regimens had significant but smaller increases.

“We’re not talking about people going from no diabetes to frank diabetes. We’re talking about [statins] nudging a very small number of people across a diabetes threshold,” an A1c of 6.5% that is set somewhat arbitrarily based on an increased risk for developing retinopathy, Dr. Preiss said. ”A person just needs to lose a [daily] can of Coke’s worth of weight to eliminate any apparent diabetes risk,” he noted.
 

Benefit outweighs risks by three- to sevenfold

Dr. Preiss presented two other examples of what his findings showed to illustrate the relatively small risk posed by statin therapy compared with its potential benefits. Treating 10,000 people for 5 years with a high-intensity statin regimen in those with established ASCVD (secondary prevention) would result in an increment of 150 extra people developing diabetes because of the hyperglycemic effect of statins, compared with an expected prevention of 1,000 ASCVD events. Among 10,000 people at high ASCVD risk and taking a high-intensity statin regimen for primary prevention 5 years of treatment would result in roughly 130 extra cases of incident diabetes while preventing about 500 ASCVD events.

In addition, applying the new risk estimates to the people included in the UK Biobank database, whose median A1c is 5.5%, showed that a high-intensity statin regimen could be expected to raise the prevalence of those with an A1c of 6.5% or greater from 4.5% to 5.7%.

Several preventive cardiologists who heard the report and were not involved with the analysis agreed with Dr. Preiss that the benefits of statin treatment substantially offset this confirmed hyperglycemic effect.
 

Risk ‘more than counterbalanced by benefit’

“He clearly showed that the small hyperglycemia risk posed by statin use is more than counterbalanced by its benefit for reducing ASCVD events,” commented Neil J. Stone, MD, a cardiologist and professor of medicine at Northwestern University, Chicago. “I agree that, for those with prediabetes who are on the road to diabetes with or without a statin, the small increase in glucose with a statin should not dissuade statin usage because the benefit is so large. Rather, it should focus efforts to improve diet, increase physical activity, and keep weight controlled.”

Dr. Stone also noted in an interview that in the JUPITER trial, which examined the effects of a daily 20-mg dose of rosuvastatin (Crestor), a high-intensity regimen, study participants with diabetes risk factors who were assigned to rosuvastatin had an onset of diabetes that was earlier than people assigned to placebo by only about 5.4 weeks, yet this group had evidence of significant benefit.

Mitchel L. Zoler/MDedge News

“I agree with Dr. Preiss that the benefits of statins in reducing heart attack, stroke, and cardiovascular death far outweigh their modest effects on glycemia,” commented Brendan M. Everett, MD, a cardiologist and preventive medicine specialist at Brigham and Women’s Hospital in Boston. “This is particularly true for those with preexisting prediabetes or diabetes, who have an elevated risk of atherosclerotic events and thus stand to derive more significant benefit from statins. The benefits of lowering LDL cholesterol with a statin for preventing seriously morbid, and potentially fatal, cardiovascular events far outweigh the extremely modest, or even negligible, increases in the risk of diabetes that could be seen with the extremely small increases in A1c,” Dr. Everett said in an interview.

The new findings “reaffirm that there is a increased risk [from statins] but the most important point is that it is a very, very tiny difference in A1c,” commented Marc S. Sabatine, MD, a cardiologist and professor at Harvard Medical School, Boston. “These data have been known for quite some time, but this analysis was done in a more rigorous way.” The finding of “a small increase in risk for diabetes is really because diabetes has a biochemical threshold and statin treatment nudges some people a little past a line that is semi-arbitrary. It’s important to be cognizant of this, but it in no way dissuades me from treating patients aggressively with statins to reduce their ASCVD risk. I would monitor their A1c levels, and if they go higher and can’t be controlled with lifestyle we have plenty of medications that can control it,” he said in an interview.
 

No difference by statin type

The meta-analysis used data from 13 placebo-controlled statin trials that together involved 123,940 participants and had an average 4.3 years of follow-up, and four trials that compared one statin with another and collectively involved 30,734 participants with an average 4.9 years of follow-up.

The analyses showed that high-intensity statin treatment increased the rate of incident diabetes by a significant 36% relative to controls and increased the rate of worsening glycemia by a significant 24% compared with controls. Low- or moderate-intensity statin regimens increased incident diabetes by a significant 10% and raised the incidence of worsening glycemia by a significant 10% compared with controls, Dr. Preiss reported.

These effects did not significantly differ by type of statin (the study included people treated with atorvastatin, fluvastatin, lovastatin, pravastatin, rosuvastatin, and simvastatin), nor across a variety of subgroups based on age, sex, race, body mass index, diabetes risk, renal function, cholesterol levels, or cardiovascular disease. The effect was also consistent regardless of the duration of treatment.

Dr. Preiss also downplayed the magnitude of the apparent difference in risk posed by high-intensity and less intense statin regimens. “I suspect the apparent heterogeneity is true, but not quite as big as what we see,” he said.

The mechanisms by which statins have this effect remain unclear, but evidence suggests that it may be a direct effect of the main action of statins, inhibition of the HMG-CoA reductase enzyme.

The study received no commercial funding. Dr. Preiss and Dr. Stone had no disclosures. Dr. Everett has been a consultant to Eli Lilly, Gilead, Ipsen, Janssen, and Provention. Dr. Sabatine has been a consultant to Althera, Amgen, Anthos Therapeutics, AstraZeneca, Beren Therapeutics, Bristol-Myers Squibb, DalCor, Dr Reddy’s Laboratories, Fibrogen, Intarcia, Merck, Moderna, Novo Nordisk, and Silence Therapeutics.

Use of continuous glucose monitoring (CGM) by people without diabetes is becoming increasingly popular despite little evidence of benefit thus far, prompting discussion in the diabetes technology community about best practices.

Emerging uses for CGM outside of diabetes include improving glucose patterns to avoid diabetes, improving mental or physical performance, and promoting motivation for healthy behavior change. Such uses are not approved by the Food and Drug Administration and not covered by health insurance, yet a growing number of people are paying digital health companies for the devices as part of wellness packages.

Click_and_Photo/Thinkstock

‘An idea whose time has come?’

Dr. Espinoza was a co-author on a review published online in the Journal of Diabetes Science and Technology, entitled, “Use of Continuous Glucose Monitors by People Without Diabetes: An Idea Whose Time Has Come?”

The review examines several aspects of the issue, beginning with studies that used CGM to investigate glucose concentrations in people with normal fasting glucose and glucose tolerance tests. Nearly all those individuals – from populations around the world – fell in the blood glucose range of 70-140 mg/dL.

Also reviewed are studies using CGM to study effects of diet, exercise, and stress on glucose levels in people without diabetes. Subsequent sections summarize the limited data that are available suggesting potential benefit for use of CGM in metabolic disease including prediabetes and obesity, non-metabolic conditions such as steroid treatment or parenteral nutrition, health and wellness, and among elite athletes. In that last group, glucose levels in both the hypoglycemic and hyperglycemic ranges during intensive activity have been documented.

Currently, there are four CGM devices that are FDA-approved for use in people with diabetes: FreeStyle Libre (Abbott), the implantable Eversense (Senseonics), and devices from Dexcom and Medtronic.

As Dr. Espinoza and colleagues explain in their review, most of the commercial health and wellness CGM programs, such as Nutrisense, Signos, and Supersapiens, actually use sensors made by those same manufacturers. Nutrisense and Supersapiens use the Libre, and Signos uses the Dexcom.

But, rather than the manufacturer’s apps meant for use by people with diabetes, the wellness companies pair the sensors with their own specially designed apps and typically offer additional services such as health coaching or nutrition counseling “to improve general health.”

Subscribers pay a monthly fee. Signos, for example, charges $399 for 1 month, $199/month for 3 months, or $159/month for 6 months. A prescription is required, but the company’s website says, “rest assured, an independent physician will handle the prescription for you, so you won’t need to arrange for a doctor visit. It is included in the cost of membership.”

Several consumer health product companies are now developing non-invasive glucose monitors, most often as a wristwatch, for people without diabetes to measure glucose optically from the skin in the wrist.

“It remains to be determined how accurate these new devices will be and how they will be regulated,” the researchers write.
 

What to do with the data?

The dedicated health and wellness apps typically provide average glucose and trend data but not the GMI. However, in theory users could access that metric by downloading the manufacturers’ viewing apps – for example, Clarity for Dexcom or LibreView for Libre.

Moreover, a person without diabetes could always obtain an off-label prescription from their physician for a FreeStyle Libre and purchase it at a pharmacy. At Walmart, for example, the cost for two boxes of two glucose meters with 14 days of wear each is $136.77. In that situation as well, users could download the viewing app that contains the summary data including the GMI that could potentially mislead in the setting of consistent normoglycemia.  

Dr. Espinoza said: “I think there’s certainly value in glucose levels. We know the summary metrics are useful in type 1 diabetes. We don’t know which summary metrics are going to be useful in any other disease states. We may need brand new summary metrics for other disease states where it’s not about time in range. Maybe the thing that matters is the frequency or height of spikes. We don’t have a measure for that.”

He added that despite the availability of normative data, “even people without diabetes are a fairly heterogenous group. They can still have insulin resistance, so it’s tricky. From a science standpoint, we probably need studies with hundreds of patients with well-established A1c and [insulin resistance measures], weight, and body mass index. Then and only then will we be able to give an accurate glucose profile.”

In the meantime, “more data is always a good thing, but the hard thing is figuring out what do we do with it. Maybe it’s biofeedback for behavioral modification. We don’t know yet. But these are powerful tools and maybe we should learn how to use them better.”

Dr. Shah has reported receiving research grants and participating in advisory boards for Dexcom and Sanofi US. Dr. Espinoza has reported receiving research funding from the National Institutes of Health and FDA.

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

Use of continuous glucose monitoring (CGM) by people without diabetes is becoming increasingly popular despite little evidence of benefit thus far, prompting discussion in the diabetes technology community about best practices.

Emerging uses for CGM outside of diabetes include improving glucose patterns to avoid diabetes, improving mental or physical performance, and promoting motivation for healthy behavior change. Such uses are not approved by the Food and Drug Administration and not covered by health insurance, yet a growing number of people are paying digital health companies for the devices as part of wellness packages.

Click_and_Photo/Thinkstock

‘An idea whose time has come?’

Dr. Espinoza was a co-author on a review published online in the Journal of Diabetes Science and Technology, entitled, “Use of Continuous Glucose Monitors by People Without Diabetes: An Idea Whose Time Has Come?”

The review examines several aspects of the issue, beginning with studies that used CGM to investigate glucose concentrations in people with normal fasting glucose and glucose tolerance tests. Nearly all those individuals – from populations around the world – fell in the blood glucose range of 70-140 mg/dL.

Also reviewed are studies using CGM to study effects of diet, exercise, and stress on glucose levels in people without diabetes. Subsequent sections summarize the limited data that are available suggesting potential benefit for use of CGM in metabolic disease including prediabetes and obesity, non-metabolic conditions such as steroid treatment or parenteral nutrition, health and wellness, and among elite athletes. In that last group, glucose levels in both the hypoglycemic and hyperglycemic ranges during intensive activity have been documented.

Currently, there are four CGM devices that are FDA-approved for use in people with diabetes: FreeStyle Libre (Abbott), the implantable Eversense (Senseonics), and devices from Dexcom and Medtronic.

As Dr. Espinoza and colleagues explain in their review, most of the commercial health and wellness CGM programs, such as Nutrisense, Signos, and Supersapiens, actually use sensors made by those same manufacturers. Nutrisense and Supersapiens use the Libre, and Signos uses the Dexcom.

But, rather than the manufacturer’s apps meant for use by people with diabetes, the wellness companies pair the sensors with their own specially designed apps and typically offer additional services such as health coaching or nutrition counseling “to improve general health.”

Subscribers pay a monthly fee. Signos, for example, charges $399 for 1 month, $199/month for 3 months, or $159/month for 6 months. A prescription is required, but the company’s website says, “rest assured, an independent physician will handle the prescription for you, so you won’t need to arrange for a doctor visit. It is included in the cost of membership.”

Several consumer health product companies are now developing non-invasive glucose monitors, most often as a wristwatch, for people without diabetes to measure glucose optically from the skin in the wrist.

“It remains to be determined how accurate these new devices will be and how they will be regulated,” the researchers write.
 

What to do with the data?

The dedicated health and wellness apps typically provide average glucose and trend data but not the GMI. However, in theory users could access that metric by downloading the manufacturers’ viewing apps – for example, Clarity for Dexcom or LibreView for Libre.

Moreover, a person without diabetes could always obtain an off-label prescription from their physician for a FreeStyle Libre and purchase it at a pharmacy. At Walmart, for example, the cost for two boxes of two glucose meters with 14 days of wear each is $136.77. In that situation as well, users could download the viewing app that contains the summary data including the GMI that could potentially mislead in the setting of consistent normoglycemia.  

Dr. Espinoza said: “I think there’s certainly value in glucose levels. We know the summary metrics are useful in type 1 diabetes. We don’t know which summary metrics are going to be useful in any other disease states. We may need brand new summary metrics for other disease states where it’s not about time in range. Maybe the thing that matters is the frequency or height of spikes. We don’t have a measure for that.”

He added that despite the availability of normative data, “even people without diabetes are a fairly heterogenous group. They can still have insulin resistance, so it’s tricky. From a science standpoint, we probably need studies with hundreds of patients with well-established A1c and [insulin resistance measures], weight, and body mass index. Then and only then will we be able to give an accurate glucose profile.”

In the meantime, “more data is always a good thing, but the hard thing is figuring out what do we do with it. Maybe it’s biofeedback for behavioral modification. We don’t know yet. But these are powerful tools and maybe we should learn how to use them better.”

Dr. Shah has reported receiving research grants and participating in advisory boards for Dexcom and Sanofi US. Dr. Espinoza has reported receiving research funding from the National Institutes of Health and FDA.

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

Use of continuous glucose monitoring (CGM) by people without diabetes is becoming increasingly popular despite little evidence of benefit thus far, prompting discussion in the diabetes technology community about best practices.

Emerging uses for CGM outside of diabetes include improving glucose patterns to avoid diabetes, improving mental or physical performance, and promoting motivation for healthy behavior change. Such uses are not approved by the Food and Drug Administration and not covered by health insurance, yet a growing number of people are paying digital health companies for the devices as part of wellness packages.

Click_and_Photo/Thinkstock

‘An idea whose time has come?’

Dr. Espinoza was a co-author on a review published online in the Journal of Diabetes Science and Technology, entitled, “Use of Continuous Glucose Monitors by People Without Diabetes: An Idea Whose Time Has Come?”

The review examines several aspects of the issue, beginning with studies that used CGM to investigate glucose concentrations in people with normal fasting glucose and glucose tolerance tests. Nearly all those individuals – from populations around the world – fell in the blood glucose range of 70-140 mg/dL.

Also reviewed are studies using CGM to study effects of diet, exercise, and stress on glucose levels in people without diabetes. Subsequent sections summarize the limited data that are available suggesting potential benefit for use of CGM in metabolic disease including prediabetes and obesity, non-metabolic conditions such as steroid treatment or parenteral nutrition, health and wellness, and among elite athletes. In that last group, glucose levels in both the hypoglycemic and hyperglycemic ranges during intensive activity have been documented.

Currently, there are four CGM devices that are FDA-approved for use in people with diabetes: FreeStyle Libre (Abbott), the implantable Eversense (Senseonics), and devices from Dexcom and Medtronic.

As Dr. Espinoza and colleagues explain in their review, most of the commercial health and wellness CGM programs, such as Nutrisense, Signos, and Supersapiens, actually use sensors made by those same manufacturers. Nutrisense and Supersapiens use the Libre, and Signos uses the Dexcom.

But, rather than the manufacturer’s apps meant for use by people with diabetes, the wellness companies pair the sensors with their own specially designed apps and typically offer additional services such as health coaching or nutrition counseling “to improve general health.”

Subscribers pay a monthly fee. Signos, for example, charges $399 for 1 month, $199/month for 3 months, or $159/month for 6 months. A prescription is required, but the company’s website says, “rest assured, an independent physician will handle the prescription for you, so you won’t need to arrange for a doctor visit. It is included in the cost of membership.”

Several consumer health product companies are now developing non-invasive glucose monitors, most often as a wristwatch, for people without diabetes to measure glucose optically from the skin in the wrist.

“It remains to be determined how accurate these new devices will be and how they will be regulated,” the researchers write.
 

What to do with the data?

The dedicated health and wellness apps typically provide average glucose and trend data but not the GMI. However, in theory users could access that metric by downloading the manufacturers’ viewing apps – for example, Clarity for Dexcom or LibreView for Libre.

Moreover, a person without diabetes could always obtain an off-label prescription from their physician for a FreeStyle Libre and purchase it at a pharmacy. At Walmart, for example, the cost for two boxes of two glucose meters with 14 days of wear each is $136.77. In that situation as well, users could download the viewing app that contains the summary data including the GMI that could potentially mislead in the setting of consistent normoglycemia.  

Dr. Espinoza said: “I think there’s certainly value in glucose levels. We know the summary metrics are useful in type 1 diabetes. We don’t know which summary metrics are going to be useful in any other disease states. We may need brand new summary metrics for other disease states where it’s not about time in range. Maybe the thing that matters is the frequency or height of spikes. We don’t have a measure for that.”

He added that despite the availability of normative data, “even people without diabetes are a fairly heterogenous group. They can still have insulin resistance, so it’s tricky. From a science standpoint, we probably need studies with hundreds of patients with well-established A1c and [insulin resistance measures], weight, and body mass index. Then and only then will we be able to give an accurate glucose profile.”

In the meantime, “more data is always a good thing, but the hard thing is figuring out what do we do with it. Maybe it’s biofeedback for behavioral modification. We don’t know yet. But these are powerful tools and maybe we should learn how to use them better.”

Dr. Shah has reported receiving research grants and participating in advisory boards for Dexcom and Sanofi US. Dr. Espinoza has reported receiving research funding from the National Institutes of Health and FDA.

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

SAN DIEGO – A novel glucagonlike peptide-1 (GLP-1)/glucagon dual-receptor agonist, BI 456906, being developed by Boehringer Ingelheim and Zealand Pharma, led to “impressive” weight loss in a phase 2 dosing study of patients with overweight/obesity and type 2 diabetes – but this is early research.

Julio Rosenstock, MD, presented the study results, including weight loss and adverse events, at the annual meeting of the Obesity Society.

At the highest tested dose (1.8 mg twice weekly subcutaneous injections), 57% of patients lost at least 5% of their initial body weight and 35% lost at least 10% of their initial body weight at 16 weeks.

In contrast, among the patients who received a 1-mg semaglutide dose as a comparator, 38% lost at least 5% of their initial body weight and 16% lost at least 10% of their initial body weight at study end.

Sara Freeman/MDedge News

This is “very promising data as an anti-obesity compound,” said Dr. Rosenstock, professor of medicine, University of Texas Southwestern Medical Center in Dallas.

The researchers enrolled 411 adults and randomized them into eight groups of roughly 50 patients each.

They compared six doses of BI 456906 (from 0.3 mg/week to 1.8 mg twice weekly) versus 1 mg/week of the GLP-1 agonist semaglutide (Wegovy, Novo Nordisk) versus placebo.

Patients had a mean initial weight of 97 kg (214 pounds).

After 4 months, on average, patients who received the highest tested dose of BI 456906 lost 9% of their initial weight or roughly 8.7 kg (19 pounds).

Patients who received semaglutide lost 5.4% of their initial weight or roughly 5.2 kg (11.5 pounds), and patients who received placebo lost only 1.2% of their initial weight

The main adverse events were gastrointestinal.
 

‘Exciting data,’ but still early days

“This is very exciting data. It comes from another experienced company with a track record of successful products with a new compound in a class where other related compounds have shown efficacy and safety,” Dan Bessesen, MD, president of The Obesity Society, who was not involved with this research, told this news organization in an email.

“The degree of weight loss is impressive for a 16-week study,” Dr. Bessesen, professor of medicine in the division of endocrinology, metabolism and diabetes at the University of Colorado at Denver, Aurora, added. “The longer-term weight loss will likely be more.”

The side-effect profile is not particularly concerning and is like other drugs in this general class, he said.

However, he also noted a few caveats. This was only a phase 2 study, “so we should not make firm conclusions about efficacy from a study like this, as the number of subjects studied at each dose is relatively small and the follow-up not long.”

In addition, “the dose of semaglutide is the old ‘diabetes’ dose (1 mg) not the weight-loss dose of 2.4 mg or the new diabetes dose of 2 mg. It is not a real comparison with the maximal approved dose of semaglutide. So, we cannot say that it will be better than semaglutide.”

The next hurdle is the “need to see phase 3 studies in a larger group of patients studied for a longer time. Then [the company] will need FDA approval, so it may be a bit of time” before this drug potentially enters the marketplace.

The “bottom line” is that this potential new antiobesity/diabetes drug is “very promising, but [it is] still a little early to say where it ultimately will go.”
 

A1c results presented at EASD

To be included in this study, patients had to be 18-75 years old, have type 2 diabetes, a body mass index of 25-50 kg/m², and hemoglobin A1c of 7%-10%, and be stable on metformin therapy.

The patients had a mean age of 57 years, and 57% were men. They had a mean A1c of 8.1%, a mean BMI of 34 kg/m², and a mean waist circumference of 110 cm (43 inches).

“We just recently reported at the EASD conference last month, the effect of BI 456906 on A1c lowering,” Dr. Rosenstock said.

“It looks like the [drop in] A1c plateaus at 1.9%, which is pretty good when you consider the baseline A1c is around 8%. You get down to around 6%, which is what we regard as a very robust reduction in people with type 2 diabetes on metformin.”

The current analysis showed that patients who received doses of 0.3, 0.9, 1.8, and 2.7 mg/week of the novel drug lost 1.9%, 4.4%, 6.6%, and 6.7% of their initial body weight, respectively, after 16 weeks.

The patients who received 1.2 mg and 1.8 mg twice weekly lost even more weight, 7.2% and 9% of their initial weight, respectively.

At the highest dose, on average, patients lost 13 cm (5 inches) around their waist.

Adverse events were reported by 78% of the patients, most commonly nausea (34% of patients), vomiting (18%), and diarrhea (16%).

Only 1.3% of patients had a drug-related serious adverse event. A total of 16% of patients discontinued the therapy.

Most of the “gastrointestinal adverse events leading the treatment discontinuation were possibly dose and titration related,” Dr. Rosenstock said, “and it’s highly conceivable that for future studies a slower dose escalation may mitigate the occurrence of the gastrointestinal adverse events.”

BI 456906 was coinvented with Zealand Pharma. Under the licensing agreement, Boehringer Ingelheim funds all research, development, and commercialization.

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

SAN DIEGO – A novel glucagonlike peptide-1 (GLP-1)/glucagon dual-receptor agonist, BI 456906, being developed by Boehringer Ingelheim and Zealand Pharma, led to “impressive” weight loss in a phase 2 dosing study of patients with overweight/obesity and type 2 diabetes – but this is early research.

Julio Rosenstock, MD, presented the study results, including weight loss and adverse events, at the annual meeting of the Obesity Society.

At the highest tested dose (1.8 mg twice weekly subcutaneous injections), 57% of patients lost at least 5% of their initial body weight and 35% lost at least 10% of their initial body weight at 16 weeks.

In contrast, among the patients who received a 1-mg semaglutide dose as a comparator, 38% lost at least 5% of their initial body weight and 16% lost at least 10% of their initial body weight at study end.

Sara Freeman/MDedge News

This is “very promising data as an anti-obesity compound,” said Dr. Rosenstock, professor of medicine, University of Texas Southwestern Medical Center in Dallas.

The researchers enrolled 411 adults and randomized them into eight groups of roughly 50 patients each.

They compared six doses of BI 456906 (from 0.3 mg/week to 1.8 mg twice weekly) versus 1 mg/week of the GLP-1 agonist semaglutide (Wegovy, Novo Nordisk) versus placebo.

Patients had a mean initial weight of 97 kg (214 pounds).

After 4 months, on average, patients who received the highest tested dose of BI 456906 lost 9% of their initial weight or roughly 8.7 kg (19 pounds).

Patients who received semaglutide lost 5.4% of their initial weight or roughly 5.2 kg (11.5 pounds), and patients who received placebo lost only 1.2% of their initial weight

The main adverse events were gastrointestinal.
 

‘Exciting data,’ but still early days

“This is very exciting data. It comes from another experienced company with a track record of successful products with a new compound in a class where other related compounds have shown efficacy and safety,” Dan Bessesen, MD, president of The Obesity Society, who was not involved with this research, told this news organization in an email.

“The degree of weight loss is impressive for a 16-week study,” Dr. Bessesen, professor of medicine in the division of endocrinology, metabolism and diabetes at the University of Colorado at Denver, Aurora, added. “The longer-term weight loss will likely be more.”

The side-effect profile is not particularly concerning and is like other drugs in this general class, he said.

However, he also noted a few caveats. This was only a phase 2 study, “so we should not make firm conclusions about efficacy from a study like this, as the number of subjects studied at each dose is relatively small and the follow-up not long.”

In addition, “the dose of semaglutide is the old ‘diabetes’ dose (1 mg) not the weight-loss dose of 2.4 mg or the new diabetes dose of 2 mg. It is not a real comparison with the maximal approved dose of semaglutide. So, we cannot say that it will be better than semaglutide.”

The next hurdle is the “need to see phase 3 studies in a larger group of patients studied for a longer time. Then [the company] will need FDA approval, so it may be a bit of time” before this drug potentially enters the marketplace.

The “bottom line” is that this potential new antiobesity/diabetes drug is “very promising, but [it is] still a little early to say where it ultimately will go.”
 

A1c results presented at EASD

To be included in this study, patients had to be 18-75 years old, have type 2 diabetes, a body mass index of 25-50 kg/m², and hemoglobin A1c of 7%-10%, and be stable on metformin therapy.

The patients had a mean age of 57 years, and 57% were men. They had a mean A1c of 8.1%, a mean BMI of 34 kg/m², and a mean waist circumference of 110 cm (43 inches).

“We just recently reported at the EASD conference last month, the effect of BI 456906 on A1c lowering,” Dr. Rosenstock said.

“It looks like the [drop in] A1c plateaus at 1.9%, which is pretty good when you consider the baseline A1c is around 8%. You get down to around 6%, which is what we regard as a very robust reduction in people with type 2 diabetes on metformin.”

The current analysis showed that patients who received doses of 0.3, 0.9, 1.8, and 2.7 mg/week of the novel drug lost 1.9%, 4.4%, 6.6%, and 6.7% of their initial body weight, respectively, after 16 weeks.

The patients who received 1.2 mg and 1.8 mg twice weekly lost even more weight, 7.2% and 9% of their initial weight, respectively.

At the highest dose, on average, patients lost 13 cm (5 inches) around their waist.

Adverse events were reported by 78% of the patients, most commonly nausea (34% of patients), vomiting (18%), and diarrhea (16%).

Only 1.3% of patients had a drug-related serious adverse event. A total of 16% of patients discontinued the therapy.

Most of the “gastrointestinal adverse events leading the treatment discontinuation were possibly dose and titration related,” Dr. Rosenstock said, “and it’s highly conceivable that for future studies a slower dose escalation may mitigate the occurrence of the gastrointestinal adverse events.”

BI 456906 was coinvented with Zealand Pharma. Under the licensing agreement, Boehringer Ingelheim funds all research, development, and commercialization.

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

SAN DIEGO – A novel glucagonlike peptide-1 (GLP-1)/glucagon dual-receptor agonist, BI 456906, being developed by Boehringer Ingelheim and Zealand Pharma, led to “impressive” weight loss in a phase 2 dosing study of patients with overweight/obesity and type 2 diabetes – but this is early research.

Julio Rosenstock, MD, presented the study results, including weight loss and adverse events, at the annual meeting of the Obesity Society.

At the highest tested dose (1.8 mg twice weekly subcutaneous injections), 57% of patients lost at least 5% of their initial body weight and 35% lost at least 10% of their initial body weight at 16 weeks.

In contrast, among the patients who received a 1-mg semaglutide dose as a comparator, 38% lost at least 5% of their initial body weight and 16% lost at least 10% of their initial body weight at study end.

Sara Freeman/MDedge News

This is “very promising data as an anti-obesity compound,” said Dr. Rosenstock, professor of medicine, University of Texas Southwestern Medical Center in Dallas.

The researchers enrolled 411 adults and randomized them into eight groups of roughly 50 patients each.

They compared six doses of BI 456906 (from 0.3 mg/week to 1.8 mg twice weekly) versus 1 mg/week of the GLP-1 agonist semaglutide (Wegovy, Novo Nordisk) versus placebo.

Patients had a mean initial weight of 97 kg (214 pounds).

After 4 months, on average, patients who received the highest tested dose of BI 456906 lost 9% of their initial weight or roughly 8.7 kg (19 pounds).

Patients who received semaglutide lost 5.4% of their initial weight or roughly 5.2 kg (11.5 pounds), and patients who received placebo lost only 1.2% of their initial weight

The main adverse events were gastrointestinal.
 

‘Exciting data,’ but still early days

“This is very exciting data. It comes from another experienced company with a track record of successful products with a new compound in a class where other related compounds have shown efficacy and safety,” Dan Bessesen, MD, president of The Obesity Society, who was not involved with this research, told this news organization in an email.

“The degree of weight loss is impressive for a 16-week study,” Dr. Bessesen, professor of medicine in the division of endocrinology, metabolism and diabetes at the University of Colorado at Denver, Aurora, added. “The longer-term weight loss will likely be more.”

The side-effect profile is not particularly concerning and is like other drugs in this general class, he said.

However, he also noted a few caveats. This was only a phase 2 study, “so we should not make firm conclusions about efficacy from a study like this, as the number of subjects studied at each dose is relatively small and the follow-up not long.”

In addition, “the dose of semaglutide is the old ‘diabetes’ dose (1 mg) not the weight-loss dose of 2.4 mg or the new diabetes dose of 2 mg. It is not a real comparison with the maximal approved dose of semaglutide. So, we cannot say that it will be better than semaglutide.”

The next hurdle is the “need to see phase 3 studies in a larger group of patients studied for a longer time. Then [the company] will need FDA approval, so it may be a bit of time” before this drug potentially enters the marketplace.

The “bottom line” is that this potential new antiobesity/diabetes drug is “very promising, but [it is] still a little early to say where it ultimately will go.”
 

A1c results presented at EASD

To be included in this study, patients had to be 18-75 years old, have type 2 diabetes, a body mass index of 25-50 kg/m², and hemoglobin A1c of 7%-10%, and be stable on metformin therapy.

The patients had a mean age of 57 years, and 57% were men. They had a mean A1c of 8.1%, a mean BMI of 34 kg/m², and a mean waist circumference of 110 cm (43 inches).

“We just recently reported at the EASD conference last month, the effect of BI 456906 on A1c lowering,” Dr. Rosenstock said.

“It looks like the [drop in] A1c plateaus at 1.9%, which is pretty good when you consider the baseline A1c is around 8%. You get down to around 6%, which is what we regard as a very robust reduction in people with type 2 diabetes on metformin.”

The current analysis showed that patients who received doses of 0.3, 0.9, 1.8, and 2.7 mg/week of the novel drug lost 1.9%, 4.4%, 6.6%, and 6.7% of their initial body weight, respectively, after 16 weeks.

The patients who received 1.2 mg and 1.8 mg twice weekly lost even more weight, 7.2% and 9% of their initial weight, respectively.

At the highest dose, on average, patients lost 13 cm (5 inches) around their waist.

Adverse events were reported by 78% of the patients, most commonly nausea (34% of patients), vomiting (18%), and diarrhea (16%).

Only 1.3% of patients had a drug-related serious adverse event. A total of 16% of patients discontinued the therapy.

Most of the “gastrointestinal adverse events leading the treatment discontinuation were possibly dose and titration related,” Dr. Rosenstock said, “and it’s highly conceivable that for future studies a slower dose escalation may mitigate the occurrence of the gastrointestinal adverse events.”

BI 456906 was coinvented with Zealand Pharma. Under the licensing agreement, Boehringer Ingelheim funds all research, development, and commercialization.

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

SAN DIEGO – Weight loss with tirzepatide was fairly uniform across different body mass index ranges, ages, and number of obesity-related comorbidities in patients with overweight/obesity without type 2 diabetes.

These were the main findings in a session about tirzepatide – the dual glucose-dependent insulinotropic polypeptide (GIP) and glucagon-like peptide-1 (GLP-1) agonist – for obesity, presented at the annual meeting of the Obesity Society.

In May, tirzepatide (Mounjaro), a once-weekly subcutaneous injection, was approved by the Food and Drug Administration for glycemic control in patients with type 2 diabetes based on the SURPASS clinical trials.

Then in June, at the American Diabetes Association 2022 annual meeting, researchers reported “unprecedented” weight loss with tirzepatide in patients without type 2 diabetes, in the phase 3 SURMOUNT-1 clinical trial.

In early October, the FDA granted fast track status (expedited review) to tirzepatide for use as an antiobesity drug.

Now these new analyses from SURMOUNT-1 show that “regardless of BMI, regardless of age, regardless of number of obesity-related complications, there was a clear dose-related weight loss that was pretty consistent across groups,” Session Chair Patrick M. O’Neil, PhD, who was not involved with this research, summarized.

“The absolute levels of these weight losses are higher than we’ve seen thus far with [antiobesity] medications,” added Dr. O’Neil, professor of psychiatry and behavioral sciences and director of the Weight Management Center at the Medical University of South Carolina, Charleston.

“Semaglutide took things up one big notch, and this is up a little notch above that,” he said in an interview.

“I’m a psychologist. It should be remembered that in all cases, the FDA approvals are predicated to using [drugs] as an adjunct to diet and exercise change as well,” he stressed.

“I don’t think people should expect that any medication that is currently available will have a lasting effect when it’s no longer taken,” he continued.

“We don’t expect any of these [antiobesity] medications to be making any permanent physiological changes,” Dr. O’Neil added, but patients could “use this medication to help themselves make some long-lasting behavioral changes, so that when they come off the medication, hopefully they’ll be able to continue these new patterns.

“Clearly the medications are having a significant impact,” he emphasized.
 

BMI, age, comorbidity subgroups, and overall QoL in SURMOUNT-1

SURMOUNT-1 compared the efficacy and safety of tirzepatide 5, 10, and 15 mg subcutaneous once-weekly to placebo, as an adjunct to a reduced-calorie diet and increased physical activity. The study included 2,539 adults without type 2 diabetes who had obesity (BMI ≥ 30 kg/m²) or overweight (BMI ≥ 27 kg/m²) with at least one obesity-related complication (hypertension, dyslipidemia, obstructive sleep apnea, or cardiovascular disease).

Age subgroups

Robert F. Kushner, MD, of Northwestern University, Chicago, noted that “Excessive lean mass loss is a clinical concern in elderly individuals being treated for obesity,” so it’s important to know if weight loss with tirzepatide differs by age.

The researchers performed a post hoc analysis in patients who had dual-energy x-ray absorptiometry (DXA) readings at baseline and week 72 (oral abstract 109).

The three age groups in the current analysis were < 50 years old (99 patients), ≥ 50 to < 65 years old (41 patients), and ≥ 65 years old (20 patients). Overall, 63% of patients were age < 50 years, 31% were age 50 to < 65 years, and 6% were ≥ 65 years.

At 72 weeks, patients taking 5, 10, and 15 mg/week tirzepatide lost 21.5%, 20.8%, and 22% of their initial body weight, respectively.

“Tirzepatide significantly lowered total body mass versus placebo regardless of age subgroups,” and it “consistently lowered fat mass, lean mass, fat-mass-to-lean-mass ratio, and visceral fat mass across age subgroups,” Dr. Kushner reported.
 

BMI subgroups

Louis J. Aronne, MD, Weill Cornell Medicine, New York, presented findings from a prespecified analysis of BMI subgroups (oral abstract 110).

The four BMI subgroups were:

• ≥ 27 to < 30 kg/m² (overweight), mean initial weight 178 pounds, mean weight reduction 29-30 pounds
• ≥ 30 to < 35 kg/m² (class 1 obesity), mean initial weight 198 pounds, mean weight reduction 33-43 pounds
• 35 to < 40 kg/m² (class 2 obesity), mean initial weight 228 pounds, mean reduction 34-56 pounds
• 40 kg/m² (class 3 obesity), mean initial weight 280 pounds, mean weight reduction 44-64 pounds

Patients with an initial BMI of ≥ 35 to < 40 kg/m² who received the 15-mg/week dose of tirzepatide had the greatest weight loss, at 24.5%, which is approximately what is seen with bariatric surgeries such as sleeve gastrectomy (25%).

The proportion of patients reaching ≥ 5% weight reduction was approximately 90% in all weight categories. “These numbers are unprecedented,” said Dr. Aronne.

In addition, overall, 73%-90% of patients receiving the 5- to 15-mg doses of tirzepatide achieved ≥ 10% body weight reduction, and “something we never thought we would see” is that 50%-78% of the patients receiving the drug lost 15% or more of their body weight.

In reply to an audience question, Dr. Aronne said it would take further study to determine who would respond well to tirzepatide.

And in reply to another question about whether it would make sense to treat to a target of a normal BMI, he said: “I think we are getting there.”

Patients in the 27- to 30-kg/m² BMI category lost about the same amount of weight at a 5-mg dose as at a higher dose, suggesting they should stick to the lower dose, which would likely also have fewer side effects, he noted.
 

Number of comorbidities

Comorbidities in SURMOUNT-1 included hypertension, dyslipidemia, obstructive sleep apnea, atherosclerotic cardiovascular disease, osteoarthritis, anxiety/depression, polycystic ovary syndrome, nonalcoholic fatty liver disease, and asthma/chronic obstructive pulmonary disease. Of the patients with no comorbidities, 32.6% had prediabetes (oral abstract 111).

Sriram Machineni, MD, University of North Carolina at Chapel Hill, noted that obesity is associated with a significantly increased risk of clustering of at least two obesity-related complications, but little is known about how this affects outcomes. 

The patients in SURMOUNT-1 were classified into three groups based on number of comorbidities:

• Zero comorbidities, 37% of patients: baseline mean age of 39, mean duration of obesity of 12 years, 29% men
• One comorbidity, 27% of patients: baseline mean age of 44, mean duration of obesity of 14 years, 31% men
• Two or more comorbidities, 36% of patients: baseline mean age of 52, duration of obesity 17 years, 37% men

Regardless of the number of comorbidities, all doses of tirzepatide resulted in a greater reduction in body weight compared with placebo.
 

Quality of life

Jiat Ling Poon, MD, an employee of Eli Lilly, presented findings from patient-reported replies to questionnaires including Impact of Weight on Quality of Life–Lite (IWQOL-Lite), which assesses physical and psychosocial health, and the Short Form–36 Health Survey, which assesses physical functioning, bodily pain, vitality, role-emotional, role-physical, general health, social functioning, and mental health (oral abstract 112).

Tirzepatide at all doses resulted in significantly greater improvements in patient-reported outcomes compared with placebo.

Meanwhile, the phase 3 SURMOUNT-2 clinical trial of tirzepatide for weight loss in patients with type 2 diabetes is projected to be completed in April 2023.  

The studies were funded by Eli Lilly.

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


SAN DIEGO – Weight loss with tirzepatide was fairly uniform across different body mass index ranges, ages, and number of obesity-related comorbidities in patients with overweight/obesity without type 2 diabetes.

These were the main findings in a session about tirzepatide – the dual glucose-dependent insulinotropic polypeptide (GIP) and glucagon-like peptide-1 (GLP-1) agonist – for obesity, presented at the annual meeting of the Obesity Society.

In May, tirzepatide (Mounjaro), a once-weekly subcutaneous injection, was approved by the Food and Drug Administration for glycemic control in patients with type 2 diabetes based on the SURPASS clinical trials.

Then in June, at the American Diabetes Association 2022 annual meeting, researchers reported “unprecedented” weight loss with tirzepatide in patients without type 2 diabetes, in the phase 3 SURMOUNT-1 clinical trial.

In early October, the FDA granted fast track status (expedited review) to tirzepatide for use as an antiobesity drug.

Now these new analyses from SURMOUNT-1 show that “regardless of BMI, regardless of age, regardless of number of obesity-related complications, there was a clear dose-related weight loss that was pretty consistent across groups,” Session Chair Patrick M. O’Neil, PhD, who was not involved with this research, summarized.

“The absolute levels of these weight losses are higher than we’ve seen thus far with [antiobesity] medications,” added Dr. O’Neil, professor of psychiatry and behavioral sciences and director of the Weight Management Center at the Medical University of South Carolina, Charleston.

“Semaglutide took things up one big notch, and this is up a little notch above that,” he said in an interview.

“I’m a psychologist. It should be remembered that in all cases, the FDA approvals are predicated to using [drugs] as an adjunct to diet and exercise change as well,” he stressed.

“I don’t think people should expect that any medication that is currently available will have a lasting effect when it’s no longer taken,” he continued.

“We don’t expect any of these [antiobesity] medications to be making any permanent physiological changes,” Dr. O’Neil added, but patients could “use this medication to help themselves make some long-lasting behavioral changes, so that when they come off the medication, hopefully they’ll be able to continue these new patterns.

“Clearly the medications are having a significant impact,” he emphasized.
 

BMI, age, comorbidity subgroups, and overall QoL in SURMOUNT-1

SURMOUNT-1 compared the efficacy and safety of tirzepatide 5, 10, and 15 mg subcutaneous once-weekly to placebo, as an adjunct to a reduced-calorie diet and increased physical activity. The study included 2,539 adults without type 2 diabetes who had obesity (BMI ≥ 30 kg/m²) or overweight (BMI ≥ 27 kg/m²) with at least one obesity-related complication (hypertension, dyslipidemia, obstructive sleep apnea, or cardiovascular disease).

Age subgroups

Robert F. Kushner, MD, of Northwestern University, Chicago, noted that “Excessive lean mass loss is a clinical concern in elderly individuals being treated for obesity,” so it’s important to know if weight loss with tirzepatide differs by age.

The researchers performed a post hoc analysis in patients who had dual-energy x-ray absorptiometry (DXA) readings at baseline and week 72 (oral abstract 109).

The three age groups in the current analysis were < 50 years old (99 patients), ≥ 50 to < 65 years old (41 patients), and ≥ 65 years old (20 patients). Overall, 63% of patients were age < 50 years, 31% were age 50 to < 65 years, and 6% were ≥ 65 years.

At 72 weeks, patients taking 5, 10, and 15 mg/week tirzepatide lost 21.5%, 20.8%, and 22% of their initial body weight, respectively.

“Tirzepatide significantly lowered total body mass versus placebo regardless of age subgroups,” and it “consistently lowered fat mass, lean mass, fat-mass-to-lean-mass ratio, and visceral fat mass across age subgroups,” Dr. Kushner reported.
 

BMI subgroups

Louis J. Aronne, MD, Weill Cornell Medicine, New York, presented findings from a prespecified analysis of BMI subgroups (oral abstract 110).

The four BMI subgroups were:

• ≥ 27 to < 30 kg/m² (overweight), mean initial weight 178 pounds, mean weight reduction 29-30 pounds
• ≥ 30 to < 35 kg/m² (class 1 obesity), mean initial weight 198 pounds, mean weight reduction 33-43 pounds
• 35 to < 40 kg/m² (class 2 obesity), mean initial weight 228 pounds, mean reduction 34-56 pounds
• 40 kg/m² (class 3 obesity), mean initial weight 280 pounds, mean weight reduction 44-64 pounds

Patients with an initial BMI of ≥ 35 to < 40 kg/m² who received the 15-mg/week dose of tirzepatide had the greatest weight loss, at 24.5%, which is approximately what is seen with bariatric surgeries such as sleeve gastrectomy (25%).

The proportion of patients reaching ≥ 5% weight reduction was approximately 90% in all weight categories. “These numbers are unprecedented,” said Dr. Aronne.

In addition, overall, 73%-90% of patients receiving the 5- to 15-mg doses of tirzepatide achieved ≥ 10% body weight reduction, and “something we never thought we would see” is that 50%-78% of the patients receiving the drug lost 15% or more of their body weight.

In reply to an audience question, Dr. Aronne said it would take further study to determine who would respond well to tirzepatide.

And in reply to another question about whether it would make sense to treat to a target of a normal BMI, he said: “I think we are getting there.”

Patients in the 27- to 30-kg/m² BMI category lost about the same amount of weight at a 5-mg dose as at a higher dose, suggesting they should stick to the lower dose, which would likely also have fewer side effects, he noted.
 

Number of comorbidities

Comorbidities in SURMOUNT-1 included hypertension, dyslipidemia, obstructive sleep apnea, atherosclerotic cardiovascular disease, osteoarthritis, anxiety/depression, polycystic ovary syndrome, nonalcoholic fatty liver disease, and asthma/chronic obstructive pulmonary disease. Of the patients with no comorbidities, 32.6% had prediabetes (oral abstract 111).

Sriram Machineni, MD, University of North Carolina at Chapel Hill, noted that obesity is associated with a significantly increased risk of clustering of at least two obesity-related complications, but little is known about how this affects outcomes. 

The patients in SURMOUNT-1 were classified into three groups based on number of comorbidities:

• Zero comorbidities, 37% of patients: baseline mean age of 39, mean duration of obesity of 12 years, 29% men
• One comorbidity, 27% of patients: baseline mean age of 44, mean duration of obesity of 14 years, 31% men
• Two or more comorbidities, 36% of patients: baseline mean age of 52, duration of obesity 17 years, 37% men

Regardless of the number of comorbidities, all doses of tirzepatide resulted in a greater reduction in body weight compared with placebo.
 

Quality of life

Jiat Ling Poon, MD, an employee of Eli Lilly, presented findings from patient-reported replies to questionnaires including Impact of Weight on Quality of Life–Lite (IWQOL-Lite), which assesses physical and psychosocial health, and the Short Form–36 Health Survey, which assesses physical functioning, bodily pain, vitality, role-emotional, role-physical, general health, social functioning, and mental health (oral abstract 112).

Tirzepatide at all doses resulted in significantly greater improvements in patient-reported outcomes compared with placebo.

Meanwhile, the phase 3 SURMOUNT-2 clinical trial of tirzepatide for weight loss in patients with type 2 diabetes is projected to be completed in April 2023.  

The studies were funded by Eli Lilly.

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


SAN DIEGO – Weight loss with tirzepatide was fairly uniform across different body mass index ranges, ages, and number of obesity-related comorbidities in patients with overweight/obesity without type 2 diabetes.

These were the main findings in a session about tirzepatide – the dual glucose-dependent insulinotropic polypeptide (GIP) and glucagon-like peptide-1 (GLP-1) agonist – for obesity, presented at the annual meeting of the Obesity Society.

In May, tirzepatide (Mounjaro), a once-weekly subcutaneous injection, was approved by the Food and Drug Administration for glycemic control in patients with type 2 diabetes based on the SURPASS clinical trials.

Then in June, at the American Diabetes Association 2022 annual meeting, researchers reported “unprecedented” weight loss with tirzepatide in patients without type 2 diabetes, in the phase 3 SURMOUNT-1 clinical trial.

In early October, the FDA granted fast track status (expedited review) to tirzepatide for use as an antiobesity drug.

Now these new analyses from SURMOUNT-1 show that “regardless of BMI, regardless of age, regardless of number of obesity-related complications, there was a clear dose-related weight loss that was pretty consistent across groups,” Session Chair Patrick M. O’Neil, PhD, who was not involved with this research, summarized.

“The absolute levels of these weight losses are higher than we’ve seen thus far with [antiobesity] medications,” added Dr. O’Neil, professor of psychiatry and behavioral sciences and director of the Weight Management Center at the Medical University of South Carolina, Charleston.

“Semaglutide took things up one big notch, and this is up a little notch above that,” he said in an interview.

“I’m a psychologist. It should be remembered that in all cases, the FDA approvals are predicated to using [drugs] as an adjunct to diet and exercise change as well,” he stressed.

“I don’t think people should expect that any medication that is currently available will have a lasting effect when it’s no longer taken,” he continued.

“We don’t expect any of these [antiobesity] medications to be making any permanent physiological changes,” Dr. O’Neil added, but patients could “use this medication to help themselves make some long-lasting behavioral changes, so that when they come off the medication, hopefully they’ll be able to continue these new patterns.

“Clearly the medications are having a significant impact,” he emphasized.
 

BMI, age, comorbidity subgroups, and overall QoL in SURMOUNT-1

SURMOUNT-1 compared the efficacy and safety of tirzepatide 5, 10, and 15 mg subcutaneous once-weekly to placebo, as an adjunct to a reduced-calorie diet and increased physical activity. The study included 2,539 adults without type 2 diabetes who had obesity (BMI ≥ 30 kg/m²) or overweight (BMI ≥ 27 kg/m²) with at least one obesity-related complication (hypertension, dyslipidemia, obstructive sleep apnea, or cardiovascular disease).

Age subgroups

Robert F. Kushner, MD, of Northwestern University, Chicago, noted that “Excessive lean mass loss is a clinical concern in elderly individuals being treated for obesity,” so it’s important to know if weight loss with tirzepatide differs by age.

The researchers performed a post hoc analysis in patients who had dual-energy x-ray absorptiometry (DXA) readings at baseline and week 72 (oral abstract 109).

The three age groups in the current analysis were < 50 years old (99 patients), ≥ 50 to < 65 years old (41 patients), and ≥ 65 years old (20 patients). Overall, 63% of patients were age < 50 years, 31% were age 50 to < 65 years, and 6% were ≥ 65 years.

At 72 weeks, patients taking 5, 10, and 15 mg/week tirzepatide lost 21.5%, 20.8%, and 22% of their initial body weight, respectively.

“Tirzepatide significantly lowered total body mass versus placebo regardless of age subgroups,” and it “consistently lowered fat mass, lean mass, fat-mass-to-lean-mass ratio, and visceral fat mass across age subgroups,” Dr. Kushner reported.
 

BMI subgroups

Louis J. Aronne, MD, Weill Cornell Medicine, New York, presented findings from a prespecified analysis of BMI subgroups (oral abstract 110).

The four BMI subgroups were:

• ≥ 27 to < 30 kg/m² (overweight), mean initial weight 178 pounds, mean weight reduction 29-30 pounds
• ≥ 30 to < 35 kg/m² (class 1 obesity), mean initial weight 198 pounds, mean weight reduction 33-43 pounds
• 35 to < 40 kg/m² (class 2 obesity), mean initial weight 228 pounds, mean reduction 34-56 pounds
• 40 kg/m² (class 3 obesity), mean initial weight 280 pounds, mean weight reduction 44-64 pounds

Patients with an initial BMI of ≥ 35 to < 40 kg/m² who received the 15-mg/week dose of tirzepatide had the greatest weight loss, at 24.5%, which is approximately what is seen with bariatric surgeries such as sleeve gastrectomy (25%).

The proportion of patients reaching ≥ 5% weight reduction was approximately 90% in all weight categories. “These numbers are unprecedented,” said Dr. Aronne.

In addition, overall, 73%-90% of patients receiving the 5- to 15-mg doses of tirzepatide achieved ≥ 10% body weight reduction, and “something we never thought we would see” is that 50%-78% of the patients receiving the drug lost 15% or more of their body weight.

In reply to an audience question, Dr. Aronne said it would take further study to determine who would respond well to tirzepatide.

And in reply to another question about whether it would make sense to treat to a target of a normal BMI, he said: “I think we are getting there.”

Patients in the 27- to 30-kg/m² BMI category lost about the same amount of weight at a 5-mg dose as at a higher dose, suggesting they should stick to the lower dose, which would likely also have fewer side effects, he noted.
 

Number of comorbidities

Comorbidities in SURMOUNT-1 included hypertension, dyslipidemia, obstructive sleep apnea, atherosclerotic cardiovascular disease, osteoarthritis, anxiety/depression, polycystic ovary syndrome, nonalcoholic fatty liver disease, and asthma/chronic obstructive pulmonary disease. Of the patients with no comorbidities, 32.6% had prediabetes (oral abstract 111).

Sriram Machineni, MD, University of North Carolina at Chapel Hill, noted that obesity is associated with a significantly increased risk of clustering of at least two obesity-related complications, but little is known about how this affects outcomes. 

The patients in SURMOUNT-1 were classified into three groups based on number of comorbidities:

• Zero comorbidities, 37% of patients: baseline mean age of 39, mean duration of obesity of 12 years, 29% men
• One comorbidity, 27% of patients: baseline mean age of 44, mean duration of obesity of 14 years, 31% men
• Two or more comorbidities, 36% of patients: baseline mean age of 52, duration of obesity 17 years, 37% men

Regardless of the number of comorbidities, all doses of tirzepatide resulted in a greater reduction in body weight compared with placebo.
 

Quality of life

Jiat Ling Poon, MD, an employee of Eli Lilly, presented findings from patient-reported replies to questionnaires including Impact of Weight on Quality of Life–Lite (IWQOL-Lite), which assesses physical and psychosocial health, and the Short Form–36 Health Survey, which assesses physical functioning, bodily pain, vitality, role-emotional, role-physical, general health, social functioning, and mental health (oral abstract 112).

Tirzepatide at all doses resulted in significantly greater improvements in patient-reported outcomes compared with placebo.

Meanwhile, the phase 3 SURMOUNT-2 clinical trial of tirzepatide for weight loss in patients with type 2 diabetes is projected to be completed in April 2023.  

The studies were funded by Eli Lilly.

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


CHICAGO – In patients with chronic limb-threatening ischemia (CLTI) and a usable saphenous vein segment, a surgical procedure leads to better outcomes than an endovascular approach, according results of the multinational randomized BEST-CLI trial.

In that study, conducted with two cohorts, the advantage of surgery was limited to the group with an available saphenous vein, but in this group the advantage over an endovascular approach was substantial, according to Alik Farber, MD, chief of vascular and endovascular surgery at Boston University.

Ted Bosworth/MDedge News

“Bypass with adequate saphenous vein should be offered as a first-line treatment option for suitable candidates with CLTI as part of fully informed, shared decision-making,” Dr. Farber stated in presenting the results at the annual scientific sessions of the American Heart Association.

The study pursued two hypotheses, which is why CLTI patients were divided into two cohorts. For cohort 1, which was limited to CLTI patients with an available saphenous vein, it was predicted that surgery would be better than an endovascular approach. For cohort 2, which enrolled patients who needed an alternative conduit, the hypothesis was that endovascular procedures would prove superior.

The study confirmed the first hypothesis, but there was no difference between the two approaches for the composite primary outcome of major adverse limb events (MALE) in the second cohort.
 

Saphenous vein availability determined cohort

Candidates for the BEST-CLI (Best Endovascular versus Best Surgical Therapy in Patients with CLTI) trial had to have CLTI producing severe ischemia and to be judged by both surgeons and cardiovascular specialists to be candidates for both types of interventions. Eligible patients were then enrolled in cohort 1 if the saphenous vein was considered the best conduit on imaging. If not, they were enrolled in cohort 2.

Patients were randomized to undergo surgical or endovascular repair only after the cohort was assigned. The primary composite MALE endpoint consisted of an adjudicated first major reintervention, such as new bypass or thrombectomy, an above-the-ankle amputation, or death from any cause.

In cohort 1, the primary composite MALE endpoint was reached in 42.6% of those in surgical arm and 57.4% in the endovascular arm, translating into a 32% relative risk reduction (hazard ratio, 0.68; P < .001) in favor of surgery at the end of a median of 2.7 years of follow-up.

The main advantage was the difference in reinterventions. The lower rate in the surgical group (9.2% vs. 23.5%), translated into a 65% relative risk reduction for this endpoint (HR, 035; P < .001).

The reduction in above-ankle amputations in the surgical group (10.4% vs. 14.9%) was also significant (HR, 0.73; P = .04), but the reduction in all-cause mortality (33.0% vs. 37.6%) was not (HR, 0.98; P = .81).

BEST-CLI involved 150 sites in North America, Europe, and New Zealand. Cohort 1, which randomized 1,434 patients, was the larger of the two. In the second cohort, only 396 patients were randomized, which Dr. Farber said “might have been underpowered.”

The results were published in the New England Journal of Medicine simultaneously with presentation of the results at the meeting.

After a median follow-up of 1.6 years in cohort 2, the slightly lower proportion of patients who reached the composite MALE endpoint in the surgical group relative to the endovascular group (42.8% vs. 47.7%) did not translate into a significant advantage (HR, 0.79; P = .12).

For the individual components, the lower rate of reinterventions in the surgical arm (14.4% vs. 25.6%) did reach statistical significance (HR, 0.47; P = .002), but both amputation (14.9% vs. 14.1%) and all-cause death (26.3% vs. 24.1%) were numerically but not significantly higher in the surgical group.

The primary safety endpoint was major adverse cardiovascular events (MACE). This was not significantly different in either cohort. There were also no major differences between groups in the risk of perioperative complications.

Level 1 evidence provided for intervention choice

Overall, BEST-CLI showed that both surgical and endovascular revascularizations are effective and safe, according to Dr. Farber. As a result, he suggested that both can be considered even if a saphenous vein is available when specific patient characteristics make one more attractive than another.

Yet, in a general population with an available saphenous vein, these data provide “level 1 evidence” that a surgical approach should be the dominant choice, he added.

Ted Bosworth/MDedge News

A quality of life (QOL) substudy of BEST-CLI did not challenge this conclusion. Rather, the main finding was that restoring circulation by either approach has a major favorable impact on patient well-being, according to Matthew Menard, MD, codirector of endovascular surgery at Brigham and Women’s Hospital, Boston.

In this substudy, presented separately from the primary BEST-CLI results, that analysis confirmed that baseline QOL was extremely poor, whether measured with a disease specific instrument such as VascuQol, or generic instruments, such as SF-12.

Surgical or endovascular treatment produced clinically meaningful and sustained improvements in every QOL measure employed, according to Dr. Menard, and this was true in either cohort.
 

Results not necessarily relevant to all

These data are likely relevant to the patients evaluated, but “it is important to consider who made it into this trial,” according to Naomi M. Hamburg, MD, section chief of vascular biology at Boston University.

Ted Bosworth/MDedge News

Not least, patients had to be candidates for either surgical or endovascular repair to get into the study, omitting those patients not deemed by the investigators to be suited for either.

In addition, Dr. Hamburg pointed out that there was a low enrollment of Blacks (20%) and women (28%), two groups for whom CTLI is a common condition.

Lastly, Dr Hamburg questioned whether specific types of anatomy might be better suited to one procedure relative to another, a variable not considered in this study. Reassured by Dr. Farber that this will be explored in subsequent analyses of BEST-CLI data, Dr. Hamburg expressed interest in learning the results.

Dr. Hamburg was among those who spoke about the growing urgency to optimize strategies for early diagnosis and treatment of CTLI. She plugged the PAD National Action Plan as one of the efforts to thwart the coming wave of CTLI expected from the steep climb in the prevalence of diabetes in the United States.

Dr. Farber reported a financial relationship with Sanifit Therapeutics. The study was funded by the National Heart, Lung, and Blood Institute, but received additional support from multiple pharmaceutical companies. Dr. Menard reported a financial relationship with Janssen Pharmaceuticals. Dr. Hamburg reported financial relationships with Acceleron Pharma, Merck, NovoNordisk, and Sanifit.

CHICAGO – In patients with chronic limb-threatening ischemia (CLTI) and a usable saphenous vein segment, a surgical procedure leads to better outcomes than an endovascular approach, according results of the multinational randomized BEST-CLI trial.

In that study, conducted with two cohorts, the advantage of surgery was limited to the group with an available saphenous vein, but in this group the advantage over an endovascular approach was substantial, according to Alik Farber, MD, chief of vascular and endovascular surgery at Boston University.

Ted Bosworth/MDedge News

“Bypass with adequate saphenous vein should be offered as a first-line treatment option for suitable candidates with CLTI as part of fully informed, shared decision-making,” Dr. Farber stated in presenting the results at the annual scientific sessions of the American Heart Association.

The study pursued two hypotheses, which is why CLTI patients were divided into two cohorts. For cohort 1, which was limited to CLTI patients with an available saphenous vein, it was predicted that surgery would be better than an endovascular approach. For cohort 2, which enrolled patients who needed an alternative conduit, the hypothesis was that endovascular procedures would prove superior.

The study confirmed the first hypothesis, but there was no difference between the two approaches for the composite primary outcome of major adverse limb events (MALE) in the second cohort.
 

Saphenous vein availability determined cohort

Candidates for the BEST-CLI (Best Endovascular versus Best Surgical Therapy in Patients with CLTI) trial had to have CLTI producing severe ischemia and to be judged by both surgeons and cardiovascular specialists to be candidates for both types of interventions. Eligible patients were then enrolled in cohort 1 if the saphenous vein was considered the best conduit on imaging. If not, they were enrolled in cohort 2.

Patients were randomized to undergo surgical or endovascular repair only after the cohort was assigned. The primary composite MALE endpoint consisted of an adjudicated first major reintervention, such as new bypass or thrombectomy, an above-the-ankle amputation, or death from any cause.

In cohort 1, the primary composite MALE endpoint was reached in 42.6% of those in surgical arm and 57.4% in the endovascular arm, translating into a 32% relative risk reduction (hazard ratio, 0.68; P < .001) in favor of surgery at the end of a median of 2.7 years of follow-up.

The main advantage was the difference in reinterventions. The lower rate in the surgical group (9.2% vs. 23.5%), translated into a 65% relative risk reduction for this endpoint (HR, 035; P < .001).

The reduction in above-ankle amputations in the surgical group (10.4% vs. 14.9%) was also significant (HR, 0.73; P = .04), but the reduction in all-cause mortality (33.0% vs. 37.6%) was not (HR, 0.98; P = .81).

BEST-CLI involved 150 sites in North America, Europe, and New Zealand. Cohort 1, which randomized 1,434 patients, was the larger of the two. In the second cohort, only 396 patients were randomized, which Dr. Farber said “might have been underpowered.”

The results were published in the New England Journal of Medicine simultaneously with presentation of the results at the meeting.

After a median follow-up of 1.6 years in cohort 2, the slightly lower proportion of patients who reached the composite MALE endpoint in the surgical group relative to the endovascular group (42.8% vs. 47.7%) did not translate into a significant advantage (HR, 0.79; P = .12).

For the individual components, the lower rate of reinterventions in the surgical arm (14.4% vs. 25.6%) did reach statistical significance (HR, 0.47; P = .002), but both amputation (14.9% vs. 14.1%) and all-cause death (26.3% vs. 24.1%) were numerically but not significantly higher in the surgical group.

The primary safety endpoint was major adverse cardiovascular events (MACE). This was not significantly different in either cohort. There were also no major differences between groups in the risk of perioperative complications.

Level 1 evidence provided for intervention choice

Overall, BEST-CLI showed that both surgical and endovascular revascularizations are effective and safe, according to Dr. Farber. As a result, he suggested that both can be considered even if a saphenous vein is available when specific patient characteristics make one more attractive than another.

Yet, in a general population with an available saphenous vein, these data provide “level 1 evidence” that a surgical approach should be the dominant choice, he added.

Ted Bosworth/MDedge News

A quality of life (QOL) substudy of BEST-CLI did not challenge this conclusion. Rather, the main finding was that restoring circulation by either approach has a major favorable impact on patient well-being, according to Matthew Menard, MD, codirector of endovascular surgery at Brigham and Women’s Hospital, Boston.

In this substudy, presented separately from the primary BEST-CLI results, that analysis confirmed that baseline QOL was extremely poor, whether measured with a disease specific instrument such as VascuQol, or generic instruments, such as SF-12.

Surgical or endovascular treatment produced clinically meaningful and sustained improvements in every QOL measure employed, according to Dr. Menard, and this was true in either cohort.
 

Results not necessarily relevant to all

These data are likely relevant to the patients evaluated, but “it is important to consider who made it into this trial,” according to Naomi M. Hamburg, MD, section chief of vascular biology at Boston University.

Ted Bosworth/MDedge News

Not least, patients had to be candidates for either surgical or endovascular repair to get into the study, omitting those patients not deemed by the investigators to be suited for either.

In addition, Dr. Hamburg pointed out that there was a low enrollment of Blacks (20%) and women (28%), two groups for whom CTLI is a common condition.

Lastly, Dr Hamburg questioned whether specific types of anatomy might be better suited to one procedure relative to another, a variable not considered in this study. Reassured by Dr. Farber that this will be explored in subsequent analyses of BEST-CLI data, Dr. Hamburg expressed interest in learning the results.

Dr. Hamburg was among those who spoke about the growing urgency to optimize strategies for early diagnosis and treatment of CTLI. She plugged the PAD National Action Plan as one of the efforts to thwart the coming wave of CTLI expected from the steep climb in the prevalence of diabetes in the United States.

Dr. Farber reported a financial relationship with Sanifit Therapeutics. The study was funded by the National Heart, Lung, and Blood Institute, but received additional support from multiple pharmaceutical companies. Dr. Menard reported a financial relationship with Janssen Pharmaceuticals. Dr. Hamburg reported financial relationships with Acceleron Pharma, Merck, NovoNordisk, and Sanifit.

CHICAGO – In patients with chronic limb-threatening ischemia (CLTI) and a usable saphenous vein segment, a surgical procedure leads to better outcomes than an endovascular approach, according results of the multinational randomized BEST-CLI trial.

In that study, conducted with two cohorts, the advantage of surgery was limited to the group with an available saphenous vein, but in this group the advantage over an endovascular approach was substantial, according to Alik Farber, MD, chief of vascular and endovascular surgery at Boston University.

Ted Bosworth/MDedge News

“Bypass with adequate saphenous vein should be offered as a first-line treatment option for suitable candidates with CLTI as part of fully informed, shared decision-making,” Dr. Farber stated in presenting the results at the annual scientific sessions of the American Heart Association.

The study pursued two hypotheses, which is why CLTI patients were divided into two cohorts. For cohort 1, which was limited to CLTI patients with an available saphenous vein, it was predicted that surgery would be better than an endovascular approach. For cohort 2, which enrolled patients who needed an alternative conduit, the hypothesis was that endovascular procedures would prove superior.

The study confirmed the first hypothesis, but there was no difference between the two approaches for the composite primary outcome of major adverse limb events (MALE) in the second cohort.
 

Saphenous vein availability determined cohort

Candidates for the BEST-CLI (Best Endovascular versus Best Surgical Therapy in Patients with CLTI) trial had to have CLTI producing severe ischemia and to be judged by both surgeons and cardiovascular specialists to be candidates for both types of interventions. Eligible patients were then enrolled in cohort 1 if the saphenous vein was considered the best conduit on imaging. If not, they were enrolled in cohort 2.

Patients were randomized to undergo surgical or endovascular repair only after the cohort was assigned. The primary composite MALE endpoint consisted of an adjudicated first major reintervention, such as new bypass or thrombectomy, an above-the-ankle amputation, or death from any cause.

In cohort 1, the primary composite MALE endpoint was reached in 42.6% of those in surgical arm and 57.4% in the endovascular arm, translating into a 32% relative risk reduction (hazard ratio, 0.68; P < .001) in favor of surgery at the end of a median of 2.7 years of follow-up.

The main advantage was the difference in reinterventions. The lower rate in the surgical group (9.2% vs. 23.5%), translated into a 65% relative risk reduction for this endpoint (HR, 035; P < .001).

The reduction in above-ankle amputations in the surgical group (10.4% vs. 14.9%) was also significant (HR, 0.73; P = .04), but the reduction in all-cause mortality (33.0% vs. 37.6%) was not (HR, 0.98; P = .81).

BEST-CLI involved 150 sites in North America, Europe, and New Zealand. Cohort 1, which randomized 1,434 patients, was the larger of the two. In the second cohort, only 396 patients were randomized, which Dr. Farber said “might have been underpowered.”

The results were published in the New England Journal of Medicine simultaneously with presentation of the results at the meeting.

After a median follow-up of 1.6 years in cohort 2, the slightly lower proportion of patients who reached the composite MALE endpoint in the surgical group relative to the endovascular group (42.8% vs. 47.7%) did not translate into a significant advantage (HR, 0.79; P = .12).

For the individual components, the lower rate of reinterventions in the surgical arm (14.4% vs. 25.6%) did reach statistical significance (HR, 0.47; P = .002), but both amputation (14.9% vs. 14.1%) and all-cause death (26.3% vs. 24.1%) were numerically but not significantly higher in the surgical group.

The primary safety endpoint was major adverse cardiovascular events (MACE). This was not significantly different in either cohort. There were also no major differences between groups in the risk of perioperative complications.

Level 1 evidence provided for intervention choice

Overall, BEST-CLI showed that both surgical and endovascular revascularizations are effective and safe, according to Dr. Farber. As a result, he suggested that both can be considered even if a saphenous vein is available when specific patient characteristics make one more attractive than another.

Yet, in a general population with an available saphenous vein, these data provide “level 1 evidence” that a surgical approach should be the dominant choice, he added.

Ted Bosworth/MDedge News

A quality of life (QOL) substudy of BEST-CLI did not challenge this conclusion. Rather, the main finding was that restoring circulation by either approach has a major favorable impact on patient well-being, according to Matthew Menard, MD, codirector of endovascular surgery at Brigham and Women’s Hospital, Boston.

In this substudy, presented separately from the primary BEST-CLI results, that analysis confirmed that baseline QOL was extremely poor, whether measured with a disease specific instrument such as VascuQol, or generic instruments, such as SF-12.

Surgical or endovascular treatment produced clinically meaningful and sustained improvements in every QOL measure employed, according to Dr. Menard, and this was true in either cohort.
 

Results not necessarily relevant to all

These data are likely relevant to the patients evaluated, but “it is important to consider who made it into this trial,” according to Naomi M. Hamburg, MD, section chief of vascular biology at Boston University.

Ted Bosworth/MDedge News

Not least, patients had to be candidates for either surgical or endovascular repair to get into the study, omitting those patients not deemed by the investigators to be suited for either.

In addition, Dr. Hamburg pointed out that there was a low enrollment of Blacks (20%) and women (28%), two groups for whom CTLI is a common condition.

Lastly, Dr Hamburg questioned whether specific types of anatomy might be better suited to one procedure relative to another, a variable not considered in this study. Reassured by Dr. Farber that this will be explored in subsequent analyses of BEST-CLI data, Dr. Hamburg expressed interest in learning the results.

Dr. Hamburg was among those who spoke about the growing urgency to optimize strategies for early diagnosis and treatment of CTLI. She plugged the PAD National Action Plan as one of the efforts to thwart the coming wave of CTLI expected from the steep climb in the prevalence of diabetes in the United States.

Dr. Farber reported a financial relationship with Sanifit Therapeutics. The study was funded by the National Heart, Lung, and Blood Institute, but received additional support from multiple pharmaceutical companies. Dr. Menard reported a financial relationship with Janssen Pharmaceuticals. Dr. Hamburg reported financial relationships with Acceleron Pharma, Merck, NovoNordisk, and Sanifit.