Diabetes medication regimens and patient clinical characteristics in the national patient-centered clinical research network, PCORnet.

Journal Article (Journal Article)

We used electronic medical record (EMR) data in the National Patient-Centered Clinical Research Network (PCORnet) to characterize "real-world" prescription patterns of Type 2 diabetes (T2D) medications. We identified a retrospective cohort of 613,203 adult patients with T2D from 33 datamarts (median patient number: 12,711) from 2012 through 2017 using a validated computable phenotype. We characterized outpatient T2D prescriptions for each patient in the 90 days before and after cohort entry, as well as demographics, comorbidities, non-T2D prescriptions, and clinical and laboratory variables in the 730 days prior to cohort entry. Approximately half of the individuals in the cohort were females and 20% Black. Hypertension (60.3%) and hyperlipidemia (50.5%) were highly prevalent. Most patients were prescribed either a single T2D drug class (42.2%) or had no evidence of a T2D prescription in the EMR (42.4%). A smaller percentage was prescribed multiple T2D drug types (15.4%). Among patients prescribed a single T2D drug type, metformin was the most common (42.6%), followed by insulin (18.2%) and sulfonylureas (13.9%). Newer classes represented approximately 13% of single T2D drug type prescriptions (dipeptidyl peptidase-4 inhibitors [6.6%], glucagon-like peptide-1 receptor agonists [2.5%], thiazolidinediones [2.0%], and sodium-glucose cotransporter-2 inhibitors [1.6%]). Among patients prescribed multiple T2D drug types, the most common combination was metformin and sulfonylureas (63.5%). Metformin-based regimens were highly prevalent in PCORnet's T2D population, whereas newer agents were prescribed less frequently. PCORnet is a novel source for the potential conduct of observational studies among patients with T2D.

Full Text

Duke Authors

Cited Authors

  • Bachmann, KN; Roumie, CL; Wiese, AD; Grijalva, CG; Buse, JB; Bradford, R; Zalimeni, EO; Knoepp, P; Dard, S; Morris, HL; Donahoo, WT; Fanous, N; Fonseca, V; Katalenich, B; Choi, S; Louzao, D; O'Brien, E; Cook, MM; Rothman, RL; Chakkalakal, RJ

Published Date

  • October 2020

Published In

Volume / Issue

  • 8 / 5

Start / End Page

  • e00637 -

PubMed ID

  • 32881317

Pubmed Central ID

  • PMC7507366

Electronic International Standard Serial Number (EISSN)

  • 2052-1707

Digital Object Identifier (DOI)

  • 10.1002/prp2.637

Language

  • eng

Conference Location

  • United States