FDA Sentinelイニシアチブにおける推論研究の強化:方法論的実証プロジェクトの結果
Rishi J Desai1, Janick Weberpals2, Haritha Pillai2
1Division of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA. rdesai@bwh.harvard.edu.
Abstract:
The FDA Sentinel Real-World Evidence Data Enterprise (RWE-DE) contains linked electronic health records with claims data for over 25 million patients. To demonstrate the applicability of the RWE-DE to a study previously considered infeasible in claims-based Sentinel network, we emulated a target trial using a case study comparing acute pancreatitis among new users of sodium-glucose cotransporter-2 inhibitors (SGLT-2i) with new users of dipeptidyl peptidase-4 inhibitors (DPP-4i) among 97,119 patients with type 2 diabetes mellitus from HealthVerity [2018-2020] and TriNetX [2013-2024] databases. We applied a previously validated computable phenotyping algorithm using EHRs to identify acute pancreatitis as the primary outcome. After confounding adjustment for >135 variables using propensity score fine stratification weighting, the hazard ratio (95% confidence interval) for acute pancreatitis following SGLT-2i initiation compared to DPP-4i initiation was 0.85 (0.67-1.07) for intent-to-treat and 0.84 (0.58-1.22) for per-protocol analysis. This study serves as a proof-of-concept for future safety assessments in Sentinel.
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