Boland, Michael V.

Introduction Semaglutide, a glucagon-like peptide-1 receptor agonist (GLP-1RA) used to treat type 2 diabetes mellitus (T2D), has potential associations with higher rates of diabetic retinopathy (DR) complications including proliferative DR (PDR) and diabetic macular edema (DME). The purpose of this study was to determine whether an association exists between semaglutide and PDR and treatment-requiring DR/DME. Research design and methods This was a retrospective cohort study of 14 databases (six administrative claims and eight electronic health records) in the Observational Health Data Sciences and Informatics Evidence Network. Adults with T2D on semaglutide, other GLP-1RA (dulaglutide, exenatide), or non-GLP-1RA medications (empagliflozin, sitagliptin, glipizide) from 1 December 2017 to 31 December 2023 were included. The association between semaglutide and PDR or treatment-requiring DR/DME was assessed using an active-comparator cohort design comparing new users of semaglutide as second-line T2D treatment to those on other GLP-1RAs and non-GLP-1RAs. Propensity score-adjusted Cox proportional hazards models were used to estimate hazard ratios (HRs). Network-wide HR estimates were generated using a random-effects meta-analysis. Results The study included 810 390 new semaglutide users for T2D. PDR risk for semaglutide was similar to dulaglutide (HR 0.81, 95% CI 0.42 to 1.54, p=0.51), empagliflozin (HR 0.83, 95% CI 0.53 to 1.30, p=0.41) and sitagliptin (HR 0.83, 95% CI 0.45 to 1.55, p=0.57) but was lower than glipizide (HR 0.59, 95% CI 0.39 to 0.88, p=0.01). The risk for treatment-requiring DR/DME for semaglutide was similar to empagliflozin (HR 0.66, 95% CI 0.43 to 1.02, p=0.06) but lower than dulaglutide (HR 0.53, 95% CI 0.31 to 0.91, p=0.02), sitagliptin (HR 0.46, 95% CI 0.26 to 0.81, p=0.008) and glipizide (HR 0.55, 95% CI 0.33 to 0.91, p=0.02). Conclusions and relevance We did not identify increased risk for either PDR or treatment-requiring DR/DME comparing semaglutide with other GLP-1RAs or non-GLP-1RAs. Patients with T2D should still undergo close eye care follow-up, particularly when initiating new antihyperglycemic medications.

Importance Semaglutide, a glucagonlike peptide-1 receptor agonist (GLP-1RA), has recently been implicated in cases of nonarteritic anterior ischemic optic neuropathy (NAION), raising safety concerns in the treatment of type 2 diabetes (T2D). Objective To investigate the potential association between semaglutide and NAION in the Observational Health Data Sciences and Informatics (OHDSI) network. Design, Setting, and Participants This was a retrospective study across 14 databases (6 administrative claims and 8 electronic health records). Included were adults with T2D taking semaglutide, other GLP-1RA (dulaglutide, exenatide), or non–GLP-1RA medications (empagliflozin, sitagliptin, glipizide) from December 1, 2017, to December 31, 2023. The incidence proportion and rate of NAION were calculated. Association between semaglutide and NAION was assessed using 2 approaches: an active-comparator cohort design comparing new users of semaglutide with those taking other GLP-1RAs and non–GLP-1RA drugs, and a self-controlled case-series (SCCS) analysis to compare individuals’ risks during exposure and nonexposure periods for each drug. The cohort design used propensity score–adjusted Cox proportional hazards models to estimate hazard ratios (HRs). The SCCS used conditional Poisson regression models to estimate incidence rate ratios (IRRs). Network-wide HR and IRR estimates were generated using a random-effects meta-analysis model. Exposures GLP-1RA and non–GLP-1RAs. Main Outcomes and Measures NAION under 2 alternative definitions based on diagnosis codes: one more inclusive and sensitive, the other more restrictive and specific. Results The study included 37.1 million individuals with T2D, including 810 390 new semaglutide users. Of the 43 620 new users of semaglutide in the Optum’s deidentified Clinformatics Data Mart Database, 24 473 (56%) were aged 50 to 69 years, and 26 699 (61%) were female. The incidence rate of NAION was 14.5 per 100 000 person-years among semaglutide users. The HR for NAION among new users of semaglutide was not different compared with that of the non–GLP-1RAs using the sensitive NAION definition—empagliflozin (HR, 1.44; 95% CI, 0.78-2.68; P = .12), sitagliptin (HR, 1.30; 95% CI, 0.56-3.01; P = .27), and glipizide (HR, 1.23; 95% CI, 0.66-2.28; P = .25). The risk was higher only compared with patients taking empagliflozin (HR, 2.27; 95% CI, 1.16-4.46; P = .02) using the specific definition. SCCS analysis of semaglutide exposure showed an increased risk of NAION (meta-analysis IRR, 1.32; 95% CI, 1.14-1.54; P < .001). Conclusions and Relevance Results of this study suggest a modest increase in the risk of NAION among individuals with T2D associated with semaglutide use, smaller than that previously reported, and warranting further investigation into the clinical implications of this association.

Précis: Analysis of Centers for Medicare and Medicaid Services (CMS) Physician Payment data found that physician certification year, degree of urbanization, and estimated income by zip code were significant in predicting the proportion of traditional glaucoma procedures performed by each provider in the United States. Objective: The prevalence of microinvasive glaucoma surgery (MIGS) compared with traditional procedures has been increasing in glaucoma management. It is important to understand whether the uptake of new glaucoma procedures is associated with aspects of the physician practice. Methods: In this cross-sectional study, data on glaucoma procedure distribution, degree of urbanization, and physician certification in the United States were extracted from the 2019 CMS Physician Payment and American Board of Ophthalmology databases. The distribution of traditional and MIGS procedure numbers for metropolitan versus non-metropolitan providers was visualized with boxplots and statistically compared using Mann-Whitney U tests. We used two-dimensional histograms and regression analyses to assess the relationship between certification year and volume of traditional versus MIGS procedures. A multivariable linear regression model was created using certification year, rural-urban commuting area code, and estimated income by practice zip code to predict the number and proportion of each type of glaucoma procedure. Results: This study included 2625 providers from the CMS physician payment data who performed only traditional procedures (n = 370), MIGS procedures (n = 1727), or both procedure types (n = 528) in 2019. The median number of MIGS procedures performed by each provider was greater in non-metropolitan areas (31 vs 29, P = 0.015), whereas the proportion of traditional procedures performed by each provider was greater in metropolitan areas (0.24 vs 0.08, P < 0.001). Regression analysis showed a positive relationship between the certification year and the proportion of traditional procedures performed by each provider (P < 0.001). Multivariable regression models found that certification year, rural-urban commuting area code, and estimated income of practice location were all significant predictors (P < 0.02) of the proportion of traditional procedures performed by each provider. Conclusion: In the United States, physicians in metropolitan areas and more recent certification years are more likely to perform a larger proportion of traditional procedures. This finding suggests that the distribution of glaucoma procedure types is related to physician factors such as degree of urbanization and duration of practice. More research is needed to better understand how such differences affect patient access and outcomes.

AbstractHow to deliver best care in various clinical settings remains a vexing problem. All pertinent healthcare-related questions have not, cannot, and will not be addressable with costly time- and resource-consuming controlled clinical trials. At present, evidence-based guidelines can address only a small fraction of the types of care that clinicians deliver. Furthermore, underserved areas rarely can access state-of-the-art evidence-based guidelines in real-time, and often lack the wherewithal to implement advanced guidelines. Care providers in such settings frequently do not have sufficient training to undertake advanced guideline implementation. Nevertheless, in advanced modern healthcare delivery environments, use of eActions (validated clinical decision support systems) could help overcome the cognitive limitations of overburdened clinicians. Widespread use of eActions will require surmounting current healthcare technical and cultural barriers and installing clinical evidence/data curation systems. The authors expect that increased numbers of evidence-based guidelines will result from future comparative effectiveness clinical research carried out during routine healthcare delivery within learning healthcare systems.

AbstractClinical decision-making is based on knowledge, expertise, and authority, with clinicians approving almost every intervention—the starting point for delivery of “All the right care, but only the right care,” an unachieved healthcare quality improvement goal. Unaided clinicians suffer from human cognitive limitations and biases when decisions are based only on their training, expertise, and experience. Electronic health records (EHRs) could improve healthcare with robust decision-support tools that reduce unwarranted variation of clinician decisions and actions. Current EHRs, focused on results review, documentation, and accounting, are awkward, time-consuming, and contribute to clinician stress and burnout. Decision-support tools could reduce clinician burden and enable replicable clinician decisions and actions that personalize patient care. Most current clinical decision-support tools or aids lack detail and neither reduce burden nor enable replicable actions. Clinicians must provide subjective interpretation and missing logic, thus introducing personal biases and mindless, unwarranted, variation from evidence-based practice. Replicability occurs when different clinicians, with the same patient information and context, come to the same decision and action. We propose a feasible subset of therapeutic decision-support tools based on credible clinical outcome evidence: computer protocols leading to replicable clinician actions (eActions). eActions enable different clinicians to make consistent decisions and actions when faced with the same patient input data. eActions embrace good everyday decision-making informed by evidence, experience, EHR data, and individual patient status. eActions can reduce unwarranted variation, increase quality of clinical care and research, reduce EHR noise, and could enable a learning healthcare system.