Abstract

BackgroundAlthough practice guidelines stress individualization of glucose management in patients with type 2 diabetes (T2D), the extent to which providers take patient factors into account when selecting medications is not well known. MethodsDiabetes Collaborative Registry (DCR) is an outpatient diabetes registry including primary care, cardiology, and endocrinology practices. T2D medications were grouped as those which may be suboptimal for key patient subgroups, and we examined patient factors associated with use of these agents using hierarchical, multivariable Poisson models. ResultsIn DCR, 157,551 patients from 374 US practices were prescribed a glucose-lowering medication. Patients with morbid obesity were more likely treated with medications prone to cause weight gain (relative rate [RR] 1.09, 95% CI 1.07–1.11). Older patients were more likely to be treated with medications with increased risk of hypoglycemia (RR 1.04 per 5 years, 95% CI 1.04–1.05). Patients with CKD 4/5 were less likely to be treated with agents with known risk in patients with advanced CKD (RR 0.74, 95% CI 0.71–0.77). Patients with coronary artery disease were no more or less likely to be treated with medications with potential cardiovascular safety issues (RR 0.99, 95% CI 0.96–1.01). ConclusionsWe observed some targeted use of glucose-lowering therapies in certain subgroups but also identified potential opportunities for better personalization of treatment. Data sources such as the DCR can highlight potential areas for improving targeted approaches to pharmacologic therapy in order to optimize selection of patients most likely to benefit (and least likely to be harmed) from treatments.

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