Long-Term Outcomes of Medical Management vs Bariatric Surgery in Type 2 Diabetes.

Importance: Randomized clinical trials of bariatric surgery have been limited in size, type of surgical procedure, and follow-up duration. Objective: To determine long-term glycemic control and safety of bariatric surgery compared with medical/lifestyle management of type 2 diabetes. Design, Setting, and Participants: ARMMS-T2D (Alliance of Randomized Trials of Medicine vs Metabolic Surgery in Type 2 Diabetes) is a pooled analysis from 4 US single-center randomized trials conducted between May 2007 and August 2013, with observational follow-up through July 2022. Intervention: Participants were originally randomized to undergo either medical/lifestyle management or 1 of the following 3 bariatric surgical procedures: Roux-en-Y gastric bypass, sleeve gastrectomy, or adjustable gastric banding. Main Outcome and Measures: The primary outcome was change in hemoglobin A1c (HbA1c) from baseline to 7 years for all participants. Data are reported for up to 12 years. Results: A total of 262 of 305 eligible participants (86%) enrolled in long-term follow-up for this pooled analysis. The mean (SD) age of participants was 49.9 (8.3) years, mean (SD) body mass index was 36.4 (3.5), 68.3% were women, 31% were Black, and 67.2% were White. During follow-up, 25% of participants randomized to undergo medical/lifestyle management underwent bariatric surgery. The median follow-up was 11 years. At 7 years, HbA1c decreased by 0.2% (95% CI, -0.5% to 0.2%), from a baseline of 8.2%, in the medical/lifestyle group and by 1.6% (95% CI, -1.8% to -1.3%), from a baseline of 8.7%, in the bariatric surgery group. The between-group difference was -1.4% (95% CI, -1.8% to -1.0%; P < .001) at 7 years and -1.1% (95% CI, -1.7% to -0.5%; P = .002) at 12 years. Fewer antidiabetes medications were used in the bariatric surgery group. Diabetes remission was greater after bariatric surgery (6.2% in the medical/lifestyle group vs 18.2% in the bariatric surgery group; P = .02) at 7 years and at 12 years (0.0% in the medical/lifestyle group vs 12.7% in the bariatric surgery group; P < .001). There were 4 deaths (2.2%), 2 in each group, and no differences in major cardiovascular adverse events. Anemia, fractures, and gastrointestinal adverse events were more common after bariatric surgery. Conclusion and Relevance: After 7 to 12 years of follow-up, individuals originally randomized to undergo bariatric surgery compared with medical/lifestyle intervention had superior glycemic control with less diabetes medication use and higher rates of diabetes remission. Trial Registration: ClinicalTrials.gov Identifier: NCT02328599.

Contemporary Clinical Perspectives on Targeting Remission of Type 2 Diabetes.

It has long been known that some patients with type 2 diabetes (T2DM) can experience sustained metabolic improvement to near-normal levels of glycemia either spontaneously or after medical intervention. Now recognized as remission of diabetes, this intriguing state is currently more feasible than ever before due to profound advances in metabolic surgery, pharmacologic therapy, and regimens of lifestyle modification. This enhanced capacity to induce remission has revealed new pathophysiologic insights, including the presence of a reversible component of the pancreatic beta-cell dysfunction that otherwise drives the chronic progressive nature of T2DM. In doing so, it has changed the therapeutic landscape by offering new potential management objectives and considerations for patients and providers. However, the excitement around these developments must also be tempered by the sobering realities of our current understanding of remission, including the recognition that this condition may not be permanent (resulting in glycemic relapse over time) and that beta-cell function may not be normalized in the setting of remission. These limitations highlight both the many gaps in our current understanding of remission and the caution with which clinical discussions must be handled for clear patient-directed communication of the pros and cons of targeting this outcome in practice. In this mini-review, we consider this rapidly growing literature, including its implications and its limitations, and thereby seek to provide objective balanced perspectives on targeting remission of T2DM in current clinical care.

Diagnosis and management of post-bariatric surgery hypoglycemia.

INTRODUCTION: While bariatric surgery remains the most effective treatment for obesity that allows substantial weight loss with improvement and possibly remission of obesity-associated comorbidities, some postoperative complications may occur. Managing physicians need to be familiar with the common problems to ensure timely and effective management. Of these complications, postoperative hypoglycemia is an increasingly recognized complication of bariatric surgery that remains underreported and underdiagnosed. AREA COVERED: This article highlights the importance of identifying hypoglycemia in patients with a history of bariatric surgery, reviews pathophysiology and addresses available nutritional, pharmacological and surgical management options. Systemic evaluation including careful history taking, confirmation of hypoglycemia and biochemical assessment is essential to establish accurate diagnosis. Understanding the weight-dependent and weight-independent mechanisms of improved postoperative glycemic control can provide better insight into the causes of the exaggerated responses that lead to postoperative hypoglycemia. EXPERT OPINION: Management of post-operative hypoglycemia can be challenging and requires a multidisciplinary approach. While dietary modification is the mainstay of treatment for most patients, some patients may benefit from pharmacotherapy (e.g. GLP-1 receptor antagonist); Surgery (e.g. reversal of gastric bypass) is reserved for unresponsive severe cases. Additional research is needed to understand the underlying pathophysiology with a primary aim in optimizing diagnostics and treatment options.

Glycemic and metabolic sub-classification of prediabetes and risk factors for cardiovascular disease in the D2d cohort.

Objectives: Prediabetes represents a spectrum of metabolic abnormalities, including insulin resistance and secretory impairment, that carries increased cardiovascular disease (CVD) risk. It is unclear whether specific glycemic and metabolic sub-classifications are associated with CVD risk. This cross-sectional analysis of 3946 participants from the Vitamin D and Type 2 Diabetes (D2d) study cohort aimed to determine the associations between various baseline CVD risk factors, glycemic sub-classifications of prediabetes (FPG, 2hPG, and HbA1c), and measures of insulin sensitivity and secretion from an OGTT. Methods: The metabolic syndrome and atherosclerotic cardiovascular disease (ASCVD) risk scores were determined for tertiles of insulin sensitivity (HOMA2S) and insulinogenic index (IGI). Unadjusted analyses showed elevated CVD risk factors in the lowest tertile for both IGI and HOMA2S. Results: After adjustment for age, gender, race, obesity, and smoking status, the association remained between HOMA2S and ASCVD score (r = -0.11, p< 0.001) but not for IGI. Those who met at least 2 diagnosic criteria for prediabetes had the largest proportion (> 40%) of participants with high ASCVD risk score >20. A higher percentage of individuals that met all 3 criteria for prediabetes had metabolic syndrome and ASCVD risk score >20 (87.2% and 15.3%, respectively) than those who only met 1 prediabetes criterion (51.6% and 7.1%, respectively). Conclusions: In conclusion, multiple metabolic (HOMA2S, IGI) and glycemic criteria of prediabetes (FPG, 2hPG, & HbA1c) are needed to fully recognize the elevated CVD risk profile that can manifest in prediabetes.

Indices of hepatic steatosis and fibrosis in prediabetes and association with diabetes development in the vitamin D and type 2 diabetes study.

AIMS: Non-alcoholic fatty liver disease (NAFLD) is a common comorbidity that leads to poor outcomes in people at high risk for development of type 2 diabetes (T2D). Vitamin D is a possible mediator. In the vitamin D and type 2 diabetes study (D2d), we investigated the relationship of baseline indices of NAFLD with incident T2D and whether the effect of vitamin D on diabetes was modified by NAFLD. METHODS: Cross-sectional associations of indices of NAFLD with glycemia and vitamin D status were assessed in 3972 individuals screened for the D2d study. In those with prediabetes randomized to vitamin D or placebo (n = 2423), we examined longitudinal associations of NAFLD indices with incident T2D. We used validated non-invasive scores to assess steatosis [(hepatic steatosis index (HSI); NAFLD-liver fat score (NAFLD-LFS)] and advanced fibrosis [fibrosis-4 (FIB-4) index; AST to Platelet Ratio Index (APRI)]. RESULTS: Eighty-five percent of screened participants had likely steatosis by HSI and 71 % by NAFLD-LFS; 3 % were likely to have advanced fibrosis by FIB-4 and 1.2 % by APRI. FIB-4 indicated that 20.4 % of individuals require further follow up to assess liver health. Steatosis and fibrosis scores were higher among participants with worse glycemia. The NAFLD-LFS and APRI predicted development of diabetes (hazard ratios [95%CI] 1.35 [1.07, 1.70]; P = 0.012) and 2.36 (1.23, 4.54; P = 0.010), respectively). The effect of vitamin D on diabetes risk was not modified by baseline NAFLD indices. Individuals with likely steatosis had a smaller increase in serum 25-hydroxyvitamin D level in response to vitamin D than those without steatosis. CONCLUSIONS: The predicted high prevalence of steatosis, the need for further fibrosis workup, and the relationship between liver health and incident T2D suggest that routine screening with clinically accessible scores may be an important strategy to reduce disease burden.

Effect of intratrial mean 25(OH)D concentration on diabetes risk, by race and weight: an ancillary analysis in the D2d study.

BACKGROUND: Higher serum 25-hydroxyvitamin D [25(OH)D] is associated with lower type 2 diabetes risk. 25(OH)D varies due to skin pigmentation and weight. OBJECTIVES: This analysis aims to determine whether the effect of vitamin D differs among people of color and those with overweight/obesity (who have higher diabetes risk) compared with individuals who are White or have normal weight. METHODS: The D2d study is a randomized clinical trial in people with prediabetes that tested the effects of daily vitamin D3 4000 IU vs. placebo on diabetes risk (median followup 2.5 y). We compared baseline and intratrial mean 25(OH)D concentrations, defined as the mean of all available annual 25(OH)D values, among groups defined by self-reported race and body mass index (BMI). We used Cox proportional hazards models to assess the associations between intratrial mean 25(OH)D and diabetes risk by race- and BMI-based groups. RESULTS: Asian (n=130), Black (n=616), and White (n=1616) participants were included. Both baseline and intratrial mean 25(OH)D concentrations differed significantly by race groups (both P < 0.001) and were lower in Asian and Black vs. White participants, and in those with higher vs. lower BMI adjusted for race (both P < 0.001). Compared with those with lower concentrations, Black and White participants with intratrial mean 25(OH)D ≥ 40 ng/mL had significantly reduced diabetes risk [HR (95% CI): Black: 0.51 (0.29, 0.92); White: 0.42 (0.30, 0.60)] and with a similar reduction in diabetes risk among Asian participants: 0.39 (0.14, 1.11). Compared with those with lower concentrations, participants with baseline BMI < 40 kg/m2 who achieved intratrial mean 25(OH)D concentrations ≥ 40 ng/mL had a significantly reduced diabetes risk. There was no statistically significant interaction between intratrial 25(OH)D and race or between intratrial 25(OH)D and BMI on diabetes risk. CONCLUSIONS: Among people with prediabetes, particularly for Black and White race groups and those with BMI < 40 kg/m2, the optimal 25(OH)D concentration may be ≥ 40 ng/mL to optimize diabetes-prevention efforts. This trial was registered at clinicaltrials.gov as NCT01942694.

Metabolic syndrome biomarkers relate to rate of cognitive decline in MCI and dementia stages of Alzheimer's disease.

BACKGROUND: The relationship between biomarkers of metabolic syndrome and insulin resistance, plasma triglyceride/HDL cholesterol (TG/HDL-C) ratio, on the rate of cognitive decline in mild cognitive impairment (MCI) and dementia stages of Alzheimer's disease (AD) is unknown. The role of peripheral and cerebrospinal fluid (CSF) levels of Apolipoprotein A1 (ApoA1), a key functional component of HDL, on cognitive decline also remains unclear among them. Here we evaluate baseline plasma TG/HDL-C ratio and CSF and plasma ApoA1 levels and their relation with cognitive decline in the MCI and Dementia stages of AD. PATIENTS AND METHODS: A retrospective longitudinal study (156 participants; 106 MCI, 50 AD dementia) from the Alzheimer's Disease Neuroimaging Initiative, with an average of 4.0 (SD 2.8) years follow-up. Baseline plasma TG/HDL-C, plasma, and CSF ApoA1 and their relationship to inflammation and blood-brain barrier (BBB) biomarkers and longitudinal cognitive outcomes were evaluated. Multivariable linear mixed effect models were used to assess the effect of baseline analytes with longitudinal changes in Mini-Mental State Exam (MMSE), Clinical Dementia Rating-Sum of Boxes (CDR-SB), and Logical Memory delayed recall (LM) score after controlling for well-known covariates. RESULTS: A total of 156 participants included 98 women, 63%; mean age was 74.9 (SD 7.3) years. At baseline, MCI and dementia groups did not differ significantly in TG/HDL-C (Wilcoxon W statistic = 0.39, p = 0.39) and CSF ApoA1 levels (W = 3642, p = 0.29), but the dementia group had higher plasma ApoA1 than the MCI group (W = 4615, p = 0.01). Higher TG/HDL-C ratio was associated with faster decline in CDR-SB among MCI and dementia groups. Higher plasma ApoA1 was associated with faster decline in MMSE and LM among MCI, while in contrast higher CSF ApoA1 levels related to slower cognitive decline in MMSE among MCI. CSF and plasma ApoA1 also show opposite directional correlations with biomarkers of BBB integrity. CSF but not plasma levels of ApoA1 positively correlated to inflammation analytes in the AGE-RAGE signaling pathway in diabetic complications (KEGG ID:KO04933). CONCLUSIONS: Biomarkers of metabolic syndrome relate to rate of cognitive decline among MCI and dementia individuals. Elevated plasma TG/HDL-C ratio and plasma ApoA1 are associated with worse cognitive outcomes in MCI and dementia participants. CSF ApoA1 and plasma ApoA1 likely have different roles in AD progression in MCI stage.

Cognitive Behavioral Sleep Self-Management Intervention for Young Adults With Type 1 Diabetes (NCT04975230).

The purpose of this study was to explore perceptions of the first dose of a cognitive behavioral sleep self-management intervention (CB-sleep) among young adults aged 18 to 25 years with type 1 diabetes (T1D). We used a qualitative descriptive approach to conduct in-depth semi-structured focused interviews with a purposive sample of 16 young adults with T1D, transitioning from adolescence to early adulthood. Interviews were audio-recorded, transcribed verbatim, and analyzed using qualitative content analysis. Participants described their sleep knowledge (previous, new, and additional), sleep health goals, along with barriers and facilitators of the CB-sleep intervention. Based on these results, we suggest CB-sleep is a useful modality with the potential to support sleep self-management in young adults with T1D during this complex life transition. Furthermore, CB-sleep could be incorporated into an existing diabetes self-management education and support program after pilot testing and determining efficacy to improve sleep and glycemic health.

Prevalence and clinical determinants of non-alcoholic fatty liver disease by liver scores in adults with type 1 diabetes.

AIMS: To investigate the prevalence and clinical risk factors for non-alcoholic fatty liver disease (NAFLD) in type 1 diabetes (T1DM) by liver scores. METHODS: A retrospective, unicenter, cross-sectional analysis was performed of adults with T1DM from 2015 to 2018. Steatosis scores (hepatic steatosis index-HSI, Framingham steatosis index-FSI) and fibrosis scores (FIB-4 index, AST-to-platelet ratio index-APRI) were associated with clinical parameters. RESULTS: We identified 447 patients, 38 ± 14.5 yrs, 54 % female, BMI 28 ± 5.9 kg/m2. Liver steatosis was prevalent at 61 % by HSI ≥ 36 and 52 % by FSI ≥ 23. A majority of these individuals had normal liver transaminase levels. The presence of advanced fibrosis was 4 % by APRI > 0.7 and 4 % by FIB-4 > 2.67. BMI ≥ 25 kg/m2 correlated with steatosis scores (P < 0.001) but not fibrosis scores. Older age (≥40 yrs), hypertension, dyslipidemia, and history of cardiovascular disease were associated with steatosis markers. Only 21 % had any abdominal imaging, 2 % had hepatology referral and 1 % had a liver biopsy. Glucagon-like peptide-1 agonist was prescribed in 5 % and thiazolidinedione in 4 %. CONCLUSION: Liver scores indicating steatosis but not fibrosis is common in adults with T1DM with obesity and/or metabolic syndrome, and is associated with older age, hypertension, and dyslipidemia. NAFLD is under-diagnosed and under-investigated; a minority of patients have had any liver evaluation or treatment.

Association between first-line monotherapy with metformin and the risk of atrial fibrillation (AMRAF) in patients with type 2 diabetes.

BACKGROUND: Type 2 diabetes (T2D) has a strong association with atrial fibrillation (AF) which increases risk of thromboembolic events, heart failure, and frequent hospitalizations. Metformin is the first-line medication for T2D with proposed anti-inflammatory, pro-metabolic, and cardio-protective benefits. Our objective was to investigate if initial therapy with metformin is associated with reduced incidence of AF in comparison to other non-insulin anti-hyperglycemic agents in patients with newly diagnosed T2D. METHODS: This retrospective cohort analysis included adults with a new diagnosis of T2D who were started on monotherapy (except insulin) between 2007 and 2017, without prior anti-hyperglycemic agent use, history of arrhythmias, or estimated GFR (eGFR) ≤ 30 ml/min. A multivariate analysis was performed using a fine-gray regression competing risk analysis to control for confounding variables after which pooled hazard ratios and 95 % confidence intervals were reported. Patients were followed until the end of study date, development of AF, addition of more anti-hyperglycemic agents, or death, whichever occurred first. RESULTS: Among 4584 metformin initiators compared to 1080 non-metformin monotherapy initiators, 10-year cumulative incidence of AF in metformin group was 5.2 % as compared to 8.1 % with other agents which was not statistically significant. Competing risk analysis did not demonstrate reduced rates of AF with metformin use (HR 0.92, 95 % CI 0.69 to 1.21; P = 0.55). Increased age and the presence of congestive heart failure were associated with significantly higher risk of AF in both groups (HR: 1.29, 95 % CI: 1.21 to 1.37; P ≤ 0.001; HR: 2.73, 95 % CI: 1.62 to 4.61; P ≤ 0.001, respectively). CONCLUSION: Initiation of metformin as a first line monotherapy for T2D, when compared to other non-insulin monotherapies, was not associated with decreased risk of developing AF in this retrospective observational study.

Obesity-associated sleep hypoventilation and increased adverse postoperative bariatric surgery outcomes in a large clinical retrospective cohort.

STUDY OBJECTIVES: Although obesity hypoventilation syndrome (OHS) is associated with increased morbidity and mortality, post-bariatric surgery OHS risk remains unclear due to often nonsystematic OHS assessments. METHODS: We leverage a clinical cohort with nocturnal CO2 monitoring during polysomnography to address the hypothesis that patients with obesity-associated sleep hypoventilation (OaSH; ie, stage II OHS) have increased adverse postoperative bariatric surgery outcomes. We retrospectively analyzed data from patients undergoing pre-bariatric surgery polysomnography at the Cleveland Clinic from 2011-2018. OaSH was defined by body mass index ≥ 30 kg/m2 and either polysomnography-based end-tidal CO2 ≥ 45 mmHg or serum bicarbonate ≥ 27 mEq/L. Outcomes considered were as follows: intensive care unit stay, intubation, tracheostomy, discharge disposition other than home or 30-day readmission individually and as a composite, and all-cause mortality. Two-sample t test or Wilcoxon rank-sum test for continuous variables and chi-square or Fisher's exact test for categorical variables were used for OaSH vs non-OaSH comparisons. All-cause mortality was compared using Kaplan-Meier estimation and Cox proportional hazards models. RESULTS: The analytic sample (n = 1,665) was aged 45.2 ± 12 years, 20.4% were male, had a body mass index of 48.7 ± 9 kg/m2, and 63.6% were White. OaSH prevalence was 68.5%. OaSH patients were older and more likely to be male with a higher BMI, apnea-hypopnea index, and glycated hemoglobin. The composite outcome was higher in OaSH vs non-OaSH patients (18.9% vs 14.3%, P = .021). Although some individual outcomes were respectively higher in OaSH vs non-OaSH patients, differences were not statistically significant: intubation (1.5% vs 1.3%, P = .81) and 30-day readmission (13.8% vs 11.3%, P = .16). Long-term mortality (median follow-up: 22.9 months) was not significantly different between groups, likely due to overall low event rate (hazard ratio = 1.39, 95% confidence interval: 0.56, 3.42). CONCLUSIONS: In this largest sample to date of systematically phenotyped OaSH in a bariatric surgery cohort, we identify increased postoperative morbidity in those with sleep-related hypoventilation in stage II OHS when a composite outcome was considered, but individual contributors of intubation, intensive care unit admission, and hospital length of stay were not increased. Further study is needed to identify whether perioperative treatment of OaSH improves post-bariatric surgery outcomes. CITATION: Chindamporn P, Wang L, Bena J, et al. Obesity-associated sleep hypoventilation and increased adverse postoperative bariatric surgery outcomes in a large clinical retrospective cohort. J Clin Sleep Med. 2022;18(12):2793-2801.

Effects of Metabolic Medicine and Metabolic Surgery on Patient-Reported Outcomes Among Patients with Type 2 Diabetes.

The assessment and management of patient-reported outcomes (PROs) is considered secondary to that of cardiometabolic outcomes. When assessed, health-related quality of life (HRQOL), a PRO, can yield pertinent information that cannot be obtained from cardiometabolic assessments. For instance, physical and mental distress can be quantified and treated. Moreover, treatment convenience and satisfaction can be gaged. Behavioral modification, bariatric surgery, and pharmacotherapy can improve PROs. Typically, HRQOL is responsive to changes in weight. Specifically, weight loss and weight gain are associated with positive and negative changes in quality of life, respectively. In addition, patient satisfaction can be influenced by glycemic control. Therefore, hypoglycemia and hyperglycemic episodes can negatively affect patient satisfaction. When managing type 2 diabetes (T2D), it is important to consider how therapies impact PROs. Generally, changes in clinical outcomes mirror changes in PROs. To best manage T2D, integrating the assessment of PROs with clinical outcomes is needed.

The effect of vitamin D supplementation on cardiovascular risk in patients with prediabetes: A secondary analysis of the D2d study.

AIMS: Low blood 25(OH)D level is associated with increased cardiovascular disease (CVD) risk. Additionally, individuals with prediabetes are at higher risk for CVD than individuals with normoglycemia. We investigated the effects of vitamin D supplementation on CVD outcomes in the vitamin D and type 2 diabetes (D2d) study, a large trial among adults with prediabetes. METHODS: 2423 participants were randomized to 4000 IU/day of vitamin D3 or placebo and followed for median 3.0 years for new-onset diabetes. In pre-specified secondary analyses, we examined the effect of vitamin D supplementation on composite Major Adverse Cardiovascular Events (MACE); expanded MACE (MACE + revascularization); atherosclerotic CVD (ASCVD) risk score; and individual CVD risk factors (blood pressure, lipids, high-sensitivity C-reactive protein). Cox models compared hazard ratios (HR) between the two groups on MACE and expanded MACE. RESULTS: Mean age was 60 years, 45 % were women, 13 % had history of CVD. Twenty-one participants assigned to vitamin D and 12 participants assigned to placebo met the MACE outcome (HR 1.81, 95%CI 0.89 to 3.69). There were 27 expanded MACE outcomes in each group (HR 1.02, 95%CI, 0.59 to 1.76). There were no significant differences between vitamin D and placebo in individual CVD risk factors, but change in ASCVD risk score favored the vitamin D group (-0.45 %, 95%CI -0.75 to -0.15). CONCLUSIONS: In people with prediabetes not selected for vitamin D insufficiency and with intermediate CVD risk, vitamin D supplementation did not decrease MACE but had a small favorable effect on ASCVD risk score. TRIAL REGISTRATION: D2d ClinicalTrials.gov number, NCT01942694, prospectively registered September 16, 2013.

Perioperative management of diabetes in patients undergoing bariatric and metabolic surgery: a narrative review and the Cleveland Clinic practical recommendations.

Bariatric and metabolic surgery is an effective treatment for patients with severe obesity and obesity-related diseases. In patients with type 2 diabetes, it provides marked improvement in glycemic control and even remission of diabetes. In patients with type 1 diabetes, bariatric surgery may offer improvement in insulin sensitivity and other cardiometabolic risk factors, as well as amelioration of the mechanical complications of obesity. Because of these positive outcomes, there are increasing numbers of patients with diabetes who undergo bariatric surgical procedures each year. Prior to surgery, efforts should be made to optimize glycemic control. However, there is no need to delay or withhold bariatric surgery until a specific glycosylated hemoglobin target is reached. Instead, treatment should focus on avoidance of early postoperative hyperglycemia. In general, oral glucose-lowering medications and noninsulin injectables are not favored to control hyperglycemia in the inpatient setting. Hyperglycemia in the hospital is managed with insulin, aiming for perioperative blood glucose concentrations between 80 and 180 mg/dL. Following surgery, substantial changes of the antidiabetic medication regimens are common. Patients should have a clear understanding of the modifications made to their treatment and should be followed closely thereafter. In this review article, we describe practical recommendations for the perioperative management of diabetes in patients with type 2 or type 1 diabetes undergoing bariatric surgery. Specific recommendations are delineated based on the different treatments that are currently available for glycemic control, including oral glucose-lowering medications, noninsulin injectables, and a variety of insulin regimens.

Alliance of Randomized Trials of Medicine vs Metabolic Surgery in Type 2 Diabetes (ARMMS-T2D): Study rationale, design, and methods.

AIMS: Long-term data from randomized clinical trials comparing metabolic (bariatric) surgery versus a medical/lifestyle intervention for treatment of patients with obesity/overweight and type 2 diabetes (T2D) are lacking. The Alliance of Randomized Trials of Medicine vs Metabolic Surgery in Type 2 Diabetes (ARMMS-T2D) is a consortium of four randomized trials designed to compare long-term efficacy and safety of surgery versus medical/lifestyle therapy on diabetes control and clinical outcomes. MATERIALS AND METHODS: Patients with T2D and body mass index (BMI) of 27-45 kg/m2 who were previously randomized to metabolic surgery (Roux-en-Y gastric bypass, adjustable gastric band, or sleeve gastrectomy) versus medical/lifestyle intervention in the STAMPEDE, SLIMM-T2D, TRIABETES, or CROSSROADS trials have been enrolled in ARMMS-T2D for observational follow-up. The primary outcome is change in glycated haemoglobin after a minimum 7 years of follow-up, with additional analyses to determine rates of diabetes remission and relapse, as well as cardiovascular and renal endpoints. RESULTS: In total, 302 patients (192 surgical, 110 medical/lifestyle) previously randomized in the four parent studies were eligible for participation in the ARMMS-T2D observational study. Participant demographics were 71% white, 27% African-American and 68% female. At baseline: age, 50 ± 8 years; BMI, 36.5 ± 3.5 kg/m2 ; duration of diabetes, 8.8 ± 5.6 years; glycated haemoglobin, 8.6% ± 1.6%; and fasting glucose, 168 ± 64 mg/dl. More than 35% of patients had a BMI <35 kg/m2 . CONCLUSIONS: ARMMS-T2D will provide the largest body of long-term, level 1 evidence to inform clinical decision-making regarding the comparative durability, efficacy and safety of metabolic surgery relative to a medical/lifestyle intervention among patients with T2D, including those with milder class I obesity or mere overweight.

Diabetes Remission in the Alliance of Randomized Trials of Medicine Versus Metabolic Surgery in Type 2 Diabetes (ARMMS-T2D).

OBJECTIVE: The overall aim of the Alliance of Randomized Trials of Medicine versus Metabolic Surgery in Type 2 Diabetes (ARMMS-T2D) consortium is to assess the durability and longer-term effectiveness of metabolic surgery compared with medical/lifestyle management in patients with type 2 diabetes (NCT02328599). RESEARCH DESIGN AND METHODS: A total of 316 patients with type 2 diabetes previously randomly assigned to surgery (N = 195) or medical/lifestyle therapy (N = 121) in the STAMPEDE, TRIABETES, SLIMM-T2D, and CROSSROADS trials were enrolled into this prospective observational cohort. The primary outcome was the rate of diabetes remission (hemoglobin A1c [HbA1c] ≤6.5% for 3 months without usual glucose-lowering therapy) at 3 years. Secondary outcomes included glycemic control, body weight, biomarkers, and comorbidity reduction. RESULTS: Three-year data were available for 256 patients with mean 50 ± 8.3 years of age, BMI 36.5 ± 3.6 kg/m2, and duration of diabetes 8.8 ± 5.7 years. Diabetes remission was achieved in more participants following surgery than medical/lifestyle intervention (60 of 160 [37.5%] vs. 2 of 76 [2.6%], respectively; P < 0.001). Reductions in HbA1c (Δ = -1.9 ± 2.0 vs. -0.1 ± 2.0%; P < 0.001), fasting plasma glucose (Δ = -52 [-105, -5] vs. -12 [-48, 26] mg/dL; P < 0.001), and BMI (Δ = -8.0 ± 3.6 vs. -1.8 ± 2.9 kg/m2; P < 0.001) were also greater after surgery. The percentages of patients using medications to control diabetes, hypertension, and dyslipidemia were all lower after surgery (P < 0.001). CONCLUSIONS: Three-year follow-up of the largest cohort of randomized patients followed to date demonstrates that metabolic/bariatric surgery is more effective and durable than medical/lifestyle intervention in remission of type 2 diabetes, including among individuals with class I obesity, for whom surgery is not widely used.

Impact of Metabolic Syndrome on Severity of COVID-19 Illness.

Background: Hypertension, diabetes, and obesity are common comorbidities that portend worse outcomes due to coronavirus disease 2019 (COVID-19). Metabolic syndrome is the common denominator of these conditions. This study aims to characterize the association of metabolic syndrome and its surrogate biomarkers with severity of COVID-19 illness. Methods: This retrospective study included adult patients who tested for COVID-19 at an academic tertiary care institution between March 8, 2020, and May 17, 2020. Metabolic syndrome was defined by the modified World Health Organization criteria. Outcomes of hospitalization, intensive care unit (ICU) admission, and death were analyzed. Results: There were 23,282 patients who tested for COVID-19 and 3679 (15.8%) had a positive result. Of these, metabolic syndrome was present in 834 (39%) of 2139 patients with available data. Patients with metabolic syndrome tended to be older, male, African American, heavier, and with more comorbidities. Metabolic syndrome was associated with higher rates of hospital admission and death (P < 0.001). On multivariable analysis, patients with metabolic syndrome had an increased risk of 77% for hospitalization, 56% for ICU admission, and 81% for death (P < 0.001). High AST:ALT and TG:HDL-C ratios were associated with hospitalization and ICU admission, but not mortality. Conclusions: Patients with metabolic syndrome had significantly worse hospitalization and mortality rates due to COVID-19, even after adjusting for covariates. Targeting obesity, hyperglycemia, dyslipidemia, and hypertension could address modifiable risk factors to reduce mortality due to COVID-19.

Prevalence and Clinical Determinants of Obesity in Adults With Type 1 Diabetes Mellitus: A Single-Center Retrospective Observational Study.

OBJECTIVE: To determine the prevalence of obesity and assess the cardiometabolic risk profile and treatments associated with obesity management in the type 1 diabetes mellitus adult population. METHODS: We reviewed the records of all patients with type 1 diabetes mellitus seen in our institution's outpatient endocrinology clinic between 2015 and 2018. We stratified the patients into 4 weight categories on the basis of body mass index (BMI) (normal, overweight, obesity class I, and combined obesity class II and III) and evaluated their associated clinical characteristics and relevant medications. RESULTS: Of 451 patients, 64% had a BMI of >25 kg/m2, and 25% had a BMI of ≥30 kg/m2. Over 40% of patients with a BMI of >30 kg/m2 had a history of cardiovascular disease. The off-label use of the glucagon-like peptide 1 receptor agonist was 12% and the sodium glucose cotransporter 2 inhibitor use was 5% in those with obesity. Only 2 patients were prescribed phentermine and 3 had undergone bariatric surgery. Hemoglobin A1C and low-density lipoprotein did not significantly differ between the normal weight and obesity groups. The obesity groups had significantly higher levels of median triglycerides and lower high-density lipoprotein than the normal weight group. CONCLUSION: Obesity was prevalent in a population of patients with type 1 diabetes mellitus seen in a specialty clinic. Those with obesity had a higher prevalence of cardiovascular disease than their normal weight counterparts. The use of weight loss medications was scarce. Studies exploring the safety and efficacy of obesity-targeted therapy in the type 1 diabetes mellitus population are needed.

Variations in Sleep Characteristics and Glucose Regulation in Young Adults With Type 1 Diabetes.

CONTEXT: Short sleep duration and sleep disruptions are associated with impaired glucoregulation in type 1 diabetes (T1D). However, the mechanistic pathways between sleep and glucose variability remain unclear. OBJECTIVE: To determine within- and between-person associations between objective sleep-wake characteristics and glucose variability indices. METHODS: Multilevel models were used to analyze concurrent sleep and glucose patterns over 7 days in 42 young adults with T1D in their natural home environment. Young adults with T1D (mean age 22.2 ± 3.0 years, HbA1c 7.2%, 32.6% male) for at least 6 months with no other medical or major psychiatric comorbidity were included. Sleep-wake characteristics were measured via wrist actigraphy and glucose variability indices via a continuous glucose monitor (CGM). RESULTS: Lower sleep efficiency predicted higher glucose variability (less time in range ß = 0.011 and more time in hyperglycemia ß = -0.011) within-person. A longer wake after sleep onset and more sleep disruptions were associated with higher glucose variability between persons (ß = 0.28 and 0.31). Higher glucose variability predicted poorer sleep within-person (delayed bedtime, waketime, mid-sleep time, and lower sleep efficiency), while higher glucose variability was associated with poorer sleep and more sleep disruptions between persons (lower sleep efficiency, longer wake after sleep onset, and a higher sleep fragmentation index). CONCLUSION: Clinicians can address the reciprocal nature of the sleep-glucose relationship by optimizing sleep and targeting efforts toward a euglycemic range overnight. Sleep habits are a modifiable personal target in diabetes care.