Abstract
ObjectivesThe CathPCI Data Extraction and Longitudinal Trend Analysis study was designed to determine the feasibility of conducting prospective surveillance of a large national registry to perform comparative safety analyses of medical devices. We sought to determine whether the complementary use of retrospective case data could improve safety signal detection time.DesignWe performed a simulated surveillance study of the comparative safety of the Mynx vascular closure device (VCD) with propensity score matched alternate VCD recipients, using both retrospective and prospective cohort data.SettingCenters within the USA using the National Cardiovascular Data Registry (NCDR) CathPCI Registry.ParticipantsPercutaneous coronary intervention cases captured within the NCDR CathPCI Registry from July 1, 2009 to September 30, 2013 were included in the analysis.InterventionsNone.Main outcome measuresAbsolute and relative risk (RR) of any vascular complication (a composite of bleeding at access site, hematoma at access site, retroperitoneal bleeding, and other vascular complications requiring treatment); time to signal detection.ResultsA safety alert was detected for the primary outcome of “any vascular complication” after 15 months of surveillance and was sustained for the study duration (absolute risk of any vascular complication, 1.20% vs 0.73%, RR, 1.63; 95% CI 1.50 to 1.79; p<0.001). The safety signal was identified 12 months earlier with the use of retrospective case data than during the initial study.ConclusionsProspective, active surveillance of cardiovascular registries is feasible to perform comparative analyses of medical devices. Retrospective data may complement prospective surveillance to improve time to signal detection, indicating the need for earlier prospective application of safety surveillance for devices new to the market.
Funder
US Food and Drug Administration MDEpiNet Medical Counter Measures Study
Veterans Affairs
Veterns Affairs
US Food and Drug Administration
US Food and Drug Administration MDEpiNet Methodology Center
Subject
Biomedical Engineering,Surgery