Underlying data for: Prediabetes and Risk of Recurrent Ischemic Stroke in Atrial Fibrillation: A Propensity-Matched Cohort Study

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Authors: Meet Popatbhai Kachhadia, Piyush Puri, Krina Patel, Usmaan Topiwala, Juber Shaikh, Himanshi Yadav, Lakshya Kumar, Gurnoor S Gill, Samarth Shah, Jay Patel, Harshal Sanghvi
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Abstract

This dataset contains aggregate-level baseline characteristics and outcome data from a propensity score-matched retrospective cohort study investigating the association between prediabetes and the risk of recurrent ischemic stroke in patients with atrial fibrillation. Data were accessed through the TriNetX US Collaborative Network, a federated research platform providing access to de-identified electronic health records from over 100 million patients across 64 healthcare organizations. Patient-level data cannot be extracted or shared due to TriNetX platform governance and HIPAA compliance requirements. The dataset includes Table 1 (baseline demographics, comorbidities, and medications after propensity score matching) and Table 2 (primary and secondary outcome results including hazard ratios, confidence intervals, and p-values).

Publication details

Journal / source
Figshare
Publication date
15 April 2026
Document type
Dataset