diabetes mellitus, type 2

What Is Diverticulitis?

Author/s: 
Shreya Narayanan, Christopher D. Jackson, MD

Diverticulitis involves inflammation of outpouchings of the intestinal wall, a condition known as diverticulosis.

Risk factors for diverticulosis include being older than 65 years, obesity (body mass index [BMI] of 30 or more), high blood pressure, type 2 diabetes, certain medications (such as opioids, steroids, and nonsteroidal anti-inflammatory drugs [NSAIDs]), connective tissue diseases (such as polycystic kidney disease, Marfan syndrome, and Ehlers-Danlos syndrome), and specific genetic variants.1

By age 60 years, nearly 60% of people have diverticulosis, most often on the left side of the colon. About 1% to 4% of people with diverticulosis develop diverticulitis in their lifetime. Acute diverticulitis affects about 180 per 100 000 people in the US each year, resulting in approximately 200 000 hospitalizations annually.

Metabolic Dysfunction–Associated Steatotic Liver Disease in Adults: A Review

Author/s: 
Herbert Tilg, Salvatore Petta, Norbert Stefan, Giovanni Targher

Importance Metabolic dysfunction–associated steatotic liver disease (MASLD) includes a range of liver conditions, progressing from isolated steatosis (characterized by fat accumulation in the liver without inflammation) to metabolic dysfunction–associated steatohepatitis (MASH), which involves fat accumulation and inflammation in the liver. The presence of MASLD is associated with increased morbidity and mortality due to liver-related complications, hepatocellular carcinoma, cardiovascular disease, and certain extrahepatic cancers.

Observations The most common chronic liver disease worldwide, MASLD affects approximately 30% to 40% of the general adult population globally (with varying prevalence across continents), including approximately 60% to 70% of individuals with type 2 diabetes and approximately 70% to 80% of those with obesity. It is typically diagnosed based on an ultrasonographic finding of hepatic steatosis, along with at least 1 of 5 features of the metabolic syndrome (abdominal overweight or obesity, prediabetes or type 2 diabetes, hypertension, elevated level of plasma triglycerides, and low level of high-density lipoprotein cholesterol) for women who consume less than 140 g/wk of alcohol (<2 standard drinks/d) and for men who consume less than 210 g/wk (<3 standard drinks/d) and have no other known causes of steatosis such as use of a particular medication (eg, corticosteroids, tamoxifen, or methotrexate), hepatitis C, or iron overload. Other risk factors for MASLD include older age (≥50 years) and male sex (male:female ratio approximately 2). The Fibrosis-4 index (a scoring system incorporating age, serum levels of aspartate aminotransferase and alanine aminotransferase, and platelet count) and vibration-controlled transient elastography (a noninvasive imaging technique) are commonly used to stage hepatic fibrosis in patients with MASLD. Cardiovascular disease is the leading cause of death, followed by certain extrahepatic cancers (primarily gastrointestinal, breast, and gynecologic cancer) and liver-related complications, including cirrhosis, hepatic decompensation (ascites, hepatic encephalopathy, or variceal bleeding), and hepatocellular carcinoma. First-line treatment of MASLD involves behavioral modifications (including hypocaloric low-carbohydrate and low-fat diets, physical exercise, and avoidance of alcohol) and management of type 2 diabetes, obesity, hypertension, and hyperlipidemia. Bariatric surgery should be considered for patients with MASLD and a body mass index greater than 35. Resmetirom (a liver-directed, thyroid hormone receptor β-selective agonist) and subcutaneous semaglutide (a glucagon-like peptide-1 receptor agonist) are conditionally approved by the US Food and Drug Administration (FDA) for the treatment of adults with MASH who have moderate to advanced fibrosis.

Conclusions A highly prevalent condition among adults worldwide, MASLD is associated with liver-related complications, hepatocellular carcinoma, cardiovascular disease, and certain extrahepatic cancers. First-line treatment includes behavioral modifications, including a weight-reducing diet, physical exercise, and avoidance of alcohol. Resmetirom and semaglutide are conditionally FDA-approved medications for the treatment of adults with MASH and moderate to advanced fibrosis.

Efficacy and Safety of GLP-1 RAs in Children and Adolescents With Obesity or Type 2 Diabetes: A Systematic Review and Meta-Analysis

Author/s: 
Pareeta Kotecha, Wenxi Huang, Ya-Yun Yeh

Importance Obesity affects 1 in 5 children and adolescents, increasing the risk of type 2 diabetes (T2D). Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) are among the few pharmacotherapy options available for this population, necessitating a comprehensive evaluation of efficacy and safety.

Objective To assess the efficacy and safety of GLP-1 RAs in children and adolescents (<18 years) with obesity, prediabetes, or T2D.

Data Sources A systematic search was conducted in PubMed, Embase, and the Cochrane Central Register of Controlled Trials (CENTRAL) for randomized clinical trials (RCTs) published from inception until February 28, 2025. Data analysis was completed from January 2025 to April 2025.

Study Selection RCTs comparing GLP-1 RAs to placebo in children and adolescents with obesity, overweight, prediabetes, or T2D with reported safety and efficacy data were included.

Data Extraction and Synthesis Two reviewers independently extracted data on sample size, population, interventions, follow-up, and outcomes. Risk of bias was assessed using version 2 of the Cochrane risk of bias tool (RoB2). Efficacy outcomes (except lipids) were analyzed as estimated treatment differences, lipids as estimated treatment ratios, and safety via rate ratios. A random-effects inverse variance model was used for all outcomes.

Main Outcomes and Measures The primary efficacy outcomes were change in hemoglobin A1c (HbA1c) (in percentage points), fasting glucose (in milligrams per deciliter), body weight (in kilograms), body mass index (BMI, calculated as weight in kilograms divided by height in meters squared), BMI z scores or percentiles, BMI standard deviation score (SDS), lipid outcomes, and blood pressure. Exploratory efficacy outcomes included obstructive sleep apnea and metabolic dysfunction–associated steatohepatitis or metabolic dysfunction–associated steatotic liver disease. Safety outcomes included gastrointestinal adverse effects (GI AEs), infections, hepatobiliary disorders, suicidal ideation or behaviors, depression, hypoglycemia, and adverse event discontinuations.

Results A total of 18 RCTs (11 in obesity, 6 in T2D, and 1 in prediabetes) with 1402 participants (838 GLP-1 RA users and 564 placebo) were included (mean [range] age, 13.7 [6-17] years; 831 female participants (59.3%); median [IQR] treatment duration, 0.51 [0.25-1.00] years). GLP-1 RAs significantly reduced HbA1c (−0.44%; 95% CI, −0.68% to −0.21%), fasting glucose (−9.92 mg/dL; 95% CI, −16.20 to −3.64), body weight (−3.02 kg; 95% CI, −4.98 to −1.06), BMI (−1.45; 95% CI, −2.40 to −0.49), BMI SDS (−0.20; 95% CI, −0.36 to −0.05), BMI percentile (−7.24%; 95% CI, −12.97% to −1.51%), and systolic blood pressure (−2.73 mm Hg; 95% CI, −4.04 to −1.43) and increased GI AE (log[rate ratio] [RR], 0.75). Other AEs, including suicidal ideation or behaviors, showed no significant differences.

Conclusions and Relevance In this systematic review and meta-analysis of 18 trials, GLP-1 RAs significantly improved glycemic, weight, and cardiometabolic outcomes in children and adolescents with T2D or obesity. Available data over a relatively short follow-up suggested suicidal ideation or behaviors were not significantly different, although GI AEs warrant attention in long-term management.

Managing Adverse Effects of Incretin-Based Medications for Obesity

Author/s: 
Robert F Kushner, Jaime P Almandoz, Domenica M Rubino

This JAMA Insights explores optimal strategies for managing the adverse effects associated with incretin-based medications for obesity, including semaglutide and tirzepatide.

Obesity in Adolescents: A Review

Author/s: 
Aaron S Kelly, Sarah C Armstrong, Marc P Michalsky, Claudia K Fox

Importance: Obesity affects approximately 21% of US adolescents and is associated with insulin resistance, hypertension, dyslipidemia, sleep disorders, depression, and musculoskeletal problems. Obesity during adolescence has also been associated with an increased risk of mortality from cardiovascular disease and type 2 diabetes in adulthood.

Observations: Obesity in adolescents aged 12 to younger than 18 years is commonly defined as a body mass index (BMI) at the 95th or greater age- and sex-adjusted percentile. Comprehensive treatment in adolescents includes lifestyle modification therapy, pharmacotherapy, and metabolic and bariatric surgery. Lifestyle modification therapy, which includes dietary, physical activity, and behavioral counseling, is first-line treatment; as monotherapy, lifestyle modification requires more than 26 contact hours over 1 year to elicit approximately 3% mean BMI reduction. Newer antiobesity medications, such as liraglutide, semaglutide, and phentermine/topiramate, in combination with lifestyle modification therapy, can reduce mean BMI by approximately 5% to 17% at 1 year of treatment. Adverse effects vary, but severe adverse events from these newer antiobesity medications are rare. Surgery (Roux-en-Y gastric bypass and vertical sleeve gastrectomy) for severe adolescent obesity (BMI ≥120% of the 95th percentile) reduces mean BMI by approximately 30% at 1 year. Minor and major perioperative complications, such as reoperation and hospital readmission for dehydration, are experienced by approximately 15% and 8% of patients, respectively. Determining the long-term durability of all obesity treatments warrants future research.

Conclusions and relevance: The prevalence of adolescent obesity is approximately 21% in the US. Treatment options for adolescents with obesity include lifestyle modification therapy, pharmacotherapy, and metabolic and bariatric surgery. Intensive lifestyle modification therapy reduces BMI by approximately 3% while pharmacotherapy added to lifestyle modification therapy can attain BMI reductions ranging from 5% to 17%. Surgery is the most effective intervention for adolescents with severe obesity and has been shown to achieve BMI reduction of approximately 30%.

Sodium-Glucose Cotransporter-2 Inhibitors and Major Adverse Cardiovascular Outcomes: A SMART-C Collaborative Meta-Analysis

Author/s: 
Siddharth M Patel, Yu Mi Kang, KyungAh Im, Brendon L Neuen, Stefan D Anker, Deepak L Bhatt, Javed Butler, David Z I Cherney

Background: Sodium-glucose cotransporter-2 inhibitors (SGLT2i) consistently improve heart failure and kidney-related outcomes; however, effects on major adverse cardiovascular events (MACE) across different patient populations are less clear.

Methods: This was a collaborative trial-level meta-analysis from the SGLT2i Meta-analysis Cardio-Renal Trialists Consortium, which includes all phase 3, placebo-controlled, outcomes trials of SGLT2i across 3 patient populations (patients with diabetes at high risk for atherosclerotic cardiovascular disease, heart failure [HF], or chronic kidney disease). The outcomes of interest were MACE (composite of cardiovascular death, myocardial infarction , or stroke), individual components of MACE (inclusive of fatal and nonfatal events), all-cause mortality, and death subtypes. Effect estimates for SGLT2i versus placebo were meta-analyzed across trials and examined across key subgroups (established atherosclerotic cardiovascular disease, previous myocardial infarction, diabetes, previous HF, albuminuria, chronic kidney disease stages, and risk groups).

Results: A total of 78 607 patients across 11 trials were included: 42 568 (54.2%), 20 725 (26.4%), and 15 314 (19.5%) were included from trials of patients with diabetes at high risk for atherosclerotic cardiovascular disease, HF, or chronic kidney disease, respectively. SGLT2i reduced the rate of MACE by 9% (hazard ration [HR], 0.91 [95% CI, 0.87-0.96], P<0.0001) with a consistent effect across all 3 patient populations (I2=0%) and across all key subgroups. This effect was primarily driven by a reduction in cardiovascular death (HR, 0.86 [95% CI, 0.81-0.92], P<0.0001), with no significant effect for myocardial infarction in the overall population (HR, 0.95 [95% CI, 0.87-1.04], P=0.29), and no effect on stroke (HR, 0.99 [95% CI, 0.91-1.07], P=0.77). The benefit for cardiovascular death was driven primarily by reductions in HF death and sudden cardiac death (HR, 0.68 [95% CI, 0.46-1.02] and HR, 0.86 [95% CI, 0.78-0.95], respectively) and was generally consistent across subgroups, with the possible exception of being more apparent in those with albuminuria (Pinteraction=0.02).

Conclusions: SGLT2i reduce the risk of MACE across a broad range of patients irrespective of atherosclerotic cardiovascular disease, diabetes, kidney function, or other major clinical characteristics at baseline. This effect is driven primarily by a reduction of cardiovascular death, particularly HF death and sudden cardiac death, without a significant effect on myocardial infarction in the overall population, and no effect on stroke. These data may help inform selection for SGLT2i therapies across the spectrum of cardiovascular-kidney-metabolic disease.

Keywords: diabetes mellitus; heart failure; meta-analysis; metabolic syndrome; renal insufficiency, chronic; sodium-glucose cotransporter-2 inhibitors.

Management of Outpatients With Diabetes at High Risk of Hypoglycemia

Author/s: 
Celeste C Thomas, Karishma Chopra, Andrew M Davis

More than 30 million people in the US have diabetes, approximately 5% with type 1 and approximately 95% with type 2. About 5 million individuals in the US with type 2 diabetes use insulin and 7 million take sulfonylureas; both of these medications have a greater association with hypoglycemia than metformin, glucagon-like peptide 1 receptor agonists, dipeptidyl peptidase 4 inhibitors, or sodium-glucose cotransporter 2 inhibitors. Each month, 70% of people with type 1 diabetes experience some degree of hypoglycemia.1 Level 1 hypoglycemia is defined as blood glucose of 54 to 70 mg/dL; level 2 is less than 54 mg/dL; and severe hypoglycemia (level 3) occurs when low blood glucose levels cause neurologic or physical symptoms that require help from others. Furthermore, recurrent severe hypoglycemia increases risk of future dementia.2 Hypoglycemia occurs more often in people with lower education, lower income, and food insecurity.3 This synopsis focuses on outpatient management of diabetes with high risk of hypoglycemia; the guideline also addresses prevention of hypoglycemia in hospitalized patients.4

What Should I Know About Injectable Weight-Loss Medications?

Author/s: 
Andrew Kraftson, Dina Griauzde

How Do I Know If Injectable Weight-Loss Medications Are Right for Me?

The decision to start an injectable weight-loss medication is based on several factors. These include weight, medical history, personal preference, and medication cost. Talk with your health care professional about whether these medications are right for you.

Comparative Effects of Glucose-Lowering Medications on Kidney Outcomes in Type 2 Diabetes The GRADE Randomized Clinical Trial

Author/s: 
Wexler, D. J., de Boer, I. H., Ghosh, A., Younes, N., Bebu, I., Inzucchi, S. E., McGill, J. B., Mudaliar, S., Schade, D., Steffes, M., Tamborlane, W. V., Tan, M. H., Ismail-Beigi, F., GRADE Research Group

Importance: Type 2 diabetes (T2D) is the leading cause of kidney disease in the US. It is not known whether glucose-lowering medications differentially affect kidney function.

Objective: To evaluate kidney outcomes in the Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness (GRADE) trial comparing 4 classes of glucose-lowering medications added to metformin for glycemic management in individuals with T2D.

Design, setting, and participants: A randomized clinical trial was conducted at 36 sites across the US. Participants included adults with T2D for less than 10 years, a hemoglobin A1c level between 6.8% and 8.5%, and estimated glomerular filtration rate (eGFR) greater than or equal to 60 mL/min/1.73 m2 who were receiving metformin treatment. A total of 5047 participants were enrolled between July 8, 2013, and August 11, 2017, and followed up for a mean of 5.0 years (range, 0-7.6 years). Data were analyzed from February 21, 2022, to March 27, 2023.

Interventions: Addition of insulin glargine, glimepiride, liraglutide, or sitagliptin to metformin, with the medication combination continued until the HbA1c was greater than 7.5%; thereafter, insulin was added to maintain glycemic control.

Main outcomes and measures: Chronic eGFR slope (change in eGFR between year 1 and trial end) and a composite kidney disease progression outcome (albuminuria, dialysis, transplant, or death due to kidney disease). Secondary outcomes included incident eGFR less than 60 mL/min/1.73 m2, 40% decrease in eGFR to less than 60 mL/min/1.73 m2, doubling of urine albumin-to-creatinine ratio (UACR) to 30 mg/g or greater, and progression of Kidney Disease Improving Global Outcomes stage. Analyses were intention-to-treat.

Results: Of the 5047 participants, 3210 (63.6%) were men. Baseline characteristics were mean (SD) age 57.2 (10.0) years; HbA1c 7.5% (0.5%); diabetes duration, 4.2 (2.7) years; body mass index, 34.3 (6.8); blood pressure 128.3/77.3 (14.7/9.9) mm Hg; eGFR 94.9 (16.8) mL/min/1.73 m2; and median UACR, 6.4 (IQR 3.1-16.9) mg/g; 2933 (58.1%) were treated with renin-angiotensin-aldosterone inhibitors. Mean chronic eGFR slope was -2.03 (95% CI, -2.20 to -1.86) mL/min/1.73 m2 per year for patients receiving sitagliptin; glimepiride, -1.92 (95% CI, -2.08 to -1.75) mL/min/1.73 m2 per year; liraglutide, -2.08 (95% CI, -2.26 to -1.90) mL/min/1.73 m2 per year; and insulin glargine, -2.02 (95% CI, -2.19 to -1.84) mL/min/1.73 m2 per year (P = .61). Mean composite kidney disease progression occurred in 135 (10.6%) patients receiving sitagliptin; glimepiride, 155 (12.4%); liraglutide, 152 (12.0%); and insulin glargine, 150 (11.9%) (P = .56). Most of the composite outcome was attributable to albuminuria progression (98.4%). There were no significant differences by treatment assignment in secondary outcomes. There were no adverse kidney events attributable to medication assignment.

Conclusions and relevance: In this randomized clinical trial, among people with T2D and predominantly free of kidney disease at baseline, no significant differences in kidney outcomes were observed during 5 years of follow-up when a dipeptidyl peptidase 4 inhibitor, sulfonylurea, glucagonlike peptide 1 receptor agonist, or basal insulin was added to metformin for glycemic control.

Nocturnal hypoglycemia is underdiagnosed in older people with insulin-treated type 2 diabetes: The HYPOAGE observational study

Author/s: 
Boureau, A., Guyomarch, B., Gourdy, P., Allix, I., Annweiler, C., Cervantes, N., Chapelet, G., Delabriere, I., Guyonnet, S., Litke, R., Paccalin, M., Penfornis, A., Saulnier, P., Wargny, M., Hadjadj, S., de Decker, L., Cariou, B.

Background: There is a lack of real-life data regarding the frequency and predictive factors of hypoglycemia in older patients with type 2 diabetes (T2D). This study aimed to determine the frequency and predictors of hypoglycemia in older patients with insulin-treated T2D.

Methods: This prospective multicenter study included 155 insulin-treated T2D patients aged 75 years and older with ≥2 self-monitoring of blood glucose (SMBG) daily controls. Participants underwent a geriatric and diabetic assessment and received ambulatory blinded continuous glucose monitoring (CGM) for 28 consecutive days with FreeStyle Libre Pro® sensor. Study population (n = 141) has >70% CGM active time. Multivariable logistic regressions were used to identify factors associated with SMBG confirmed hypoglycemia (≥70 mg/dL) and with nocturnal level 2 time below range (glucose concentration <54 mg/dL during ≥15 consecutive min between 0.00 and 6.00 am).

Results: The mean age of the 141 analyzed patients was 81.5 ± 5.3 years and 56.7% were male. The mean baseline HbA1c was 7.9% ± 1.0%. After geriatric assessment, 102 participants (72.3%) were considered as complex and 39 (27.7%) as healthy. The primary endpoint (confirmed SMBG <70 mg/dL) occurred in 37.6% patients. In multivariable analysis, the risk of SMBG-confirmed hypoglycemia was positively associated with a longer duration of diabetes (OR (+1 year) =1.04, (1.00-1.08), p = 0.04) and glycemic variability assessed by CGM (CV %) (OR (+1%) = 1.12, [1.05-1.19], p = <0.001). Nighty-two patients (65.2%) experienced nocturnal time in hypoglycemia (i.e., <54 mg/dL during ≥15 consecutive min between midnight and 6 a.m.). In multivariable analyses, cognitive impairment (OR: 9.31 [2.59-33.4]), heart failure (OR: 4.81 [1;48-15.6]), and depressive disorder (OR: 0.19 [0.06-0.53]) were associated with nocturnal time in hypoglycemia.

Conclusion: Nocturnal hypoglycemia is very common and largely underdiagnosed in older patients with insulin-treated T2D. CGM is a promising tool to better identify hypoglycemia and adapt diabetes management in this population.

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