Galindo, Rodolfo J

Background SGLT2 (sodium‐glucose cotransporter 2) inhibitors reduce major adverse cardiovascular events (MACE) in type 2 diabetes. However, no direct comparison of individual SGLT2 inhibitor drugs has been conducted, particularly among adults with moderate cardiovascular risk who comprise most people with type 2 diabetes. Methods We used data for commercial, Medicare Advantage, and Medicare fee‐for‐service beneficiaries to emulate a target trial of adults (≥21 years) with type 2 diabetes and moderate cardiovascular risk who started canagliflozin, dapagliflozin, or empagliflozin between 2015 and 2020. We estimated propensity scores using the super learner ensemble method and incorporated them as inverse probability of treatment weights into Cox models, estimating risk of MACE, expanded MACE, and hyperglycemic and hypoglycemic crises through December 31, 2022. Results The weighted cohort, balanced on all baseline covariates, included 137 232 patients (mean age 65.7 years [SD, 8.1], 75.3% non‐Hispanic White, 57.0% male, 81.9% on metformin, 11.4% on glucagon‐like peptide‐1 receptor agonists) starting canagliflozin (N=42 877), dapagliflozin (N=17 871), or empagliflozin (N=7648). The risk of MACE was lower among patients starting empagliflozin versus canagliflozin (hazard ratio [HR], 0.92 [95% CI, 0.87–0.97]), driven by reduced risk of all‐cause mortality (HR, 0.86 [95% CI, 0.80–0.94]). There was no difference in MACE between empagliflozin versus dapagliflozin or dapagliflozin versus canagliflozin therapy. There was no difference in remaining outcomes between the three drugs. Conclusions The 3 most used SGLT2 inhibitor medications demonstrate similar effectiveness on cardiovascular outcomes among patients with type 2 diabetes at moderate cardiovascular risk, with differences between these drugs small in magnitude. Clinicians and health systems should prioritize enhancing access to these cardioprotective therapies.

Key Points Sodium-glucose cotransporter 2 inhibitors and glucagon-like peptide-1 receptor agonists were superior to dipeptidyl peptidase-4 inhibitor and sulfonylurea for preventing kidney complications in patients with type 2 diabetes at moderate cardiovascular disease risk. Sodium-glucose cotransporter 2 inhibitor therapy compared favorably with glucagon-like peptide-1 receptor agonists for kidney disease outcomes. Background CKD is a serious diabetes-related complication. While guidelines recommend use of sodium-glucose cotransporter 2 inhibitor (SGLT2i) and glucagon-like peptide-1 receptor agonist (GLP-1RA) therapies to mitigate cardiorenal risk in high-risk patients, the benefit of early initiation of these agents relative to other commonly prescribed glucose-lowering agents in patients at lower baseline cardiovascular disease (CVD) risk remains less clear. Methods This retrospective observational study emulated an idealized target trial using claims data from OptumLabs data warehouse to test the comparative association of treatment with a dipeptidyl peptidase-4 inhibitor (DPP-4i), SGLT2i, GLP-1RA, or sulfonylurea (SU) on a primary kidney composite outcome of incident CKD stages 3–5, kidney failure, or need for KRT in patients with type 2 diabetes and moderate CVD risk. A secondary composite outcome included all components of the primary composite outcome plus death. Results A total of 364,714 adults aged 21 years or older initiating treatment with a DPP-4i ( N =78,843), GLP-1RA ( N =42,049), SGLT2i ( N =45,466), or SU ( N =198,356) were identified. Relative to DPP-4i, SGLT2i (hazard ratio [HR], 0.71; 95% confidence interval [CI], 0.67 to 0.74; P < 0.001) and GLP-1RA (HR, 0.87; 95% CI, 0.83 to 0.92; P < 0.001) treatment was superior for the primary composite outcome. Similarly, SGLT2i (HR, 0.69; 95% CI, 0.66 to 0.73) and GLP-1RA (HR, 0.86; 95% CI, 0.82 to 0.91) treatment was associated with risk reductions for the primary outcome relative to SU treatment. When comparing SGLT2i with GLP-1RA therapy, SGLT2is were superior for the primary composite outcome (HR, 0.81; 95% CI, 0.75 to 0.86; P < 0.001). Similar findings were observed for the secondary composite outcome across all comparisons. Conclusions SGLT2is and GLP-1RAs were superior to DPP-4is and SUs for preventing kidney complications in a type 2 diabetes population with moderate baseline CVD risk. Clinical Trial registry name and registration number: NCT05214573.

This mixed-methods study sought to identify pharmacotherapy preferences among 40 noninsulin-treated adults with type 2 diabetes receiving care at two U.S. health care systems. Participants ranked by relative importance various health outcomes and medication attributes and then contextualized their rankings. Most participants ranked blindness (63%), death (60%), heart attack (48%), and heart failure (48%) as the most important health outcomes and glucose-lowering efficacy (68%) as the most important medication attribute, followed by oral administration (45%) and lack of gastrointestinal side effects (38%).

AbstractObjectiveTrends in use and continuity of use of diabetes‐specific and non‐diabetes weight‐reducing (WR), weight‐inducing (WI), and weight‐neutral (WN) medications were examined among US adults with diabetes and overweight/obesity.MethodsSerial cross‐sectional data from Medical Expenditure Panel Surveys (2010–2019) for adults (≥18 years) with diabetes and BMI ≥27 kg/m2 (≥25 kg/m2 for Asians) were analyzed.ResultsAmong 7402 US adults with diabetes and overweight/obesity (mean age 60.0 years [SD 13], 50% female), 64.9% of participants used any WI medications, decreasing from 68.9% (95% CI: 64.3%–73.5%) in 2010 to 58.6% (95% CI: 54.7%–62.5%) in 2019. It was estimated that 13.5% used WR medications, increasing 3.31‐fold, from 6.4% (95% CI: 4.1%–8.7%) to 21.2% (95% CI: 18.0%–24.4%) and that 73.1% used WN medications, ranging from 70.5% (95% CI: 66.5–74.6) to 75.0% (95% CI: 71.7%–78.4%). Among adults using diabetes‐specific WI (53.7%), WR (7.1%), and WN (62.4%) medications during the first year, 7.3%, 16.4%, and 9.0% discontinued it in the second year, respectively.ConclusionsOver 2010–2019, 64.9% of adults with diabetes and overweight/obesity were treated with WI medications, 13.5% with WR medications, and 73.1% with WN medications. Discontinuation of WR medications was nearly twice that of WI medications.

Diabetes Technology Society organized an expert consensus panel to develop metrics for research in the use of continuous glucose monitors (CGMs) in a hospital setting. The experts met virtually in small groups both before and after an April 13, 2023 virtual meeting of the entire panel. The goal of the panel was to develop consensus definitions in anticipation of greater use of CGMs in hospital settings in the future. Establishment of consensus definitions of inpatient analytical metrics will be easier to compare outcomes between studies. Panelists defined terms related to 10 dimensions of measurements related to the use of CGMs including (1) hospital hypoglycemia, (2) hospital hyperglycemia, (3) hospital time in range, (4) hospital glycemic variability, (5) hospital glycemia risk index, (6) accuracy of CGM devices and reference methods for CGMs in the hospital, (7) meaningful time blocks for hospital glycemic goals, (8) hospital CGM data sufficiency, (9) using CGM data for insulin dosing, and (10) miscellaneous factors. The panelists voted on 51 proposed recommendations. Based on the panel vote, 51 recommendations were classified as either strong (43) or mild (8). Additional research is needed on CGM performance in the hospital. This consensus report is intended to support that type of research intended to improve outcomes for hospitalized people with diabetes.

Introduction The prevalence, severity, and quality of life (QoL) impact of diabetic retinopathy (DR) among African–Americans (AAs) with end-stage kidney disease (ESKD) undergoing dialysis are unknown. Research design and methods A cross-sectional study was conducted on 93 AA adults with diabetes and ESKD. The diagnosis of DR was based on a review of medical records and/or a positive photograph with a portable hand-held device reviewed by both artificial intelligence software and a retinal specialist. QoL, physical disability social determinants of health (SDoHs) were assessed by standardized questionnaires. Results The prevalence of DR was 75%, with 33% of participants having mild, 9.6% moderate and 57.4% severe DR. A total of 43% had normal visual acuity; 45% had moderate visual impairment; and 12% had severe visual impairment. We found a high burden of disease, multiple SDoH challenges, and low QoL and general health among patients with ESKD. The presence of DR had no significant impact on physical health and QoL compared with participants without DR. Conclusions DR is present in 75% of AA patients with diabetes and ESKD on haemodialysis. ESKD has a significant burden on general health and QoL; however, DR has a minor additional impact on the overall physical health and QoL in people with ESKD.

OBJECTIVETo characterize contemporary trends in glucagon fill rates and expenditures in a nationwide cohort of adults with diabetes overall and by key demographic and clinical characteristics.RESEARCH DESIGN AND METHODSIn this retrospective cohort study, we examined 1) glucagon fill rates per 1,000 person-years and 2) patient out-of-pocket and health plan costs per filled glucagon dose among adults with diabetes included in OptumLabs Data Warehouse between 1 January 2011 and 31 March 2021.RESULTSThe study population comprised 2,814,464 adults with diabetes with a mean age of 62.8 (SD 13.2) years. The overall glucagon fill rate decreased from 2.91 to 2.28 per 1,000 person-years (−22%) over the study period. In groups at high risk for severe hypoglycemia, glucagon fill rates increased from 22.46 to 36.76 per 1,000 person-years (64%) among patients with type 1 diabetes, 11.64 to 16.63 per 1,000 person-years (43%) among those treated with short-acting insulin, and 16.08 to 20.12 per 1,000 person-years (25%) among those with a history of severe hypoglycemia. White patients, women, individuals with high income, and commercially insured patients had higher glucagon fill rates compared with minority patients, males, individuals with low income, and Medicare Advantage patients, respectively. Total cost per dosing unit increased from $157.97 to $275.32 (74%) among commercial insurance beneficiaries and from $150.37 to $293.57 (95%) among Medicare Advantage beneficiaries.CONCLUSIONSGlucagon fill rates are concerningly low and declined between 2011 and 2021 but increased in appropriate subgroups with type 1 diabetes, using short-acting insulin, or with a history of severe hypoglycemia. Fill rates were disproportionately low among minority patients and individuals with low income.

Background: A composite metric for the quality of glycemia from continuous glucose monitor (CGM) tracings could be useful for assisting with basic clinical interpretation of CGM data. Methods: We assembled a data set of 14-day CGM tracings from 225 insulin-treated adults with diabetes. Using a balanced incomplete block design, 330 clinicians who were highly experienced with CGM analysis and interpretation ranked the CGM tracings from best to worst quality of glycemia. We used principal component analysis and multiple regressions to develop a model to predict the clinician ranking based on seven standard metrics in an Ambulatory Glucose Profile: very low–glucose and low-glucose hypoglycemia; very high–glucose and high-glucose hyperglycemia; time in range; mean glucose; and coefficient of variation. Results: The analysis showed that clinician rankings depend on two components, one related to hypoglycemia that gives more weight to very low-glucose than to low-glucose and the other related to hyperglycemia that likewise gives greater weight to very high-glucose than to high-glucose. These two components should be calculated and displayed separately, but they can also be combined into a single Glycemia Risk Index (GRI) that corresponds closely to the clinician rankings of the overall quality of glycemia (r = 0.95). The GRI can be displayed graphically on a GRI Grid with the hypoglycemia component on the horizontal axis and the hyperglycemia component on the vertical axis. Diagonal lines divide the graph into five zones (quintiles) corresponding to the best (0th to 20th percentile) to worst (81st to 100th percentile) overall quality of glycemia. The GRI Grid enables users to track sequential changes within an individual over time and compare groups of individuals. Conclusion: The GRI is a single-number summary of the quality of glycemia. Its hypoglycemia and hyperglycemia components provide actionable scores and a graphical display (the GRI Grid) that can be used by clinicians and researchers to determine the glycemic effects of prescribed and investigational treatments.