• Arif S Ali, Madiha Khan, Danielle Ortega, Syed Jaffery, Lois E Lamerato, and Katarzyna Budzynska.
• From the Departments of Family Medicine (AA, MK, DO, SJ, KB) and Public Health Sciences, (LEL) Henry Ford Hospital, Detroit, MI.
• J Am Board Fam Med. 2022 Mar 1; 35 (2): 255-264.

BackgroundGlucagon-like peptide-1 agonists (GLP-1a) and sodium-glucose cotransporter-2 inhibitors (SGLT-2i) are recommended in carefully selected patients with type 2 diabetes. This study will assess prescription of these medications and investigate predictors of prescription.MethodsThis retrospective cross-sectional study included 31,354 patients. Data including sociodemographic descriptors, clinical histories, medications, and health insurance providers were extracted from a health system's administrative databases. Variables to be associated with prescription of a GLP-1a or SGLT-2i were assessed using a multivariable logistic regression model.ResultsMean age was 62.58 years and 40.8% identified as African American. Only 3.4% were prescribed a GLP-1a and 2.1% received a SGLT-2i. Logistic regression demonstrated lower odds of receiving either medication in the highest age-group (70 to 79 years) (GLP-1a: odds ratio [OR] 0.44, P < .01, SGLT-2i: OR 0.39, P < .01) and in African Americans (GLP-1a: OR 0.64, P < .01, SGLT-2i: OR 0.28, P < .01). Atherosclerotic cardiovascular disease was not associated with GLP-1a prescription (P = .54) and conferred lower odds of being prescribed SGLT-2i (OR 0.68, P < .01). History of chronic kidney disease conferred lower odds of receiving GLP-1a and was not associated with the odds of receiving SGLT-2i.ConclusionsPrescription of GLP-1a and SGLT-2i medications was low as compared with existing literature. Advanced age and African American race were negatively associated with prescription of these medications. Contrary to guideline recommendations; atherosclerotic cardiovascular disease and chronic kidney disease were not positively associated with prescription.© Copyright 2022 by the American Board of Family Medicine.

25 keywords...

hide…