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    Testing a Cloud-Based Model for Active Surveillance of Medical Devices with Analyses of Coronary Stent Safety Using the Data Extraction and Longitudinal Trend Analysis (DELTA) Syst... by Drozda JP Jr, Ssemaganda H, Frankenberger EA, Brandt E, Robbins S, Khairnar N, Cha A, Resnic FS

    Published 2024-02-01
    “…Joseph P Drozda Jr,1,* Henry Ssemaganda,2,* Edward A Frankenberger,3,* Eric Brandt,4,* Susan Robbins,2,* Neha Khairnar,2,* Alexandra Cha,5,* Frederic S Resnic6,* 1Retiree, Mercy, Chesterfield, MO, USA; 2Comparative Effectiveness Research Institute, Lahey Hospital and Medical Center, Burlington, MA, USA; 3Freenome, South San Francisco, CA, USA; 4Research, Mercy, Chesterfield, MO, USA; 5Booz Allen Hamilton, Bethesda, MD, USA; 6Division of Cardiovascular Medicine, Lahey Hospital and Medical Center, Burlington, MA, USA*These authors contributed equally to this workCorrespondence: Joseph P Drozda Jr, Tel +1 314 308 1732, Email jpdrozda@charter.netObjective: To demonstrate the use of the Data Extraction and Longitudinal Trend Analysis (DELTA) system in the National Evaluation System for health Technology’s (NEST) medical device surveillance cloud environment by analyzing coronary stent safety using real world clinical data and comparing results to clinical trial findings.Design and Setting: Electronic health record (EHR) data from two health systems, the Social Security Death Master File, and device databases were ingested into the NEST cloud, and safety analyses of two stents were performed using DELTA.Participants and Interventions: This is an observational study of patients receiving zotarolimus drug-eluting coronary stents (ZES) or everolimus eluting coronary stents (EES) between July 1, 2015 and December 31, 2017.Results: After exclusions, 3334 patients receiving EES and 1002 receiving ZES were available for study. …”
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