Association Between Use of WATCHMAN Device and 1-Year Mortality Using High-Dimensional Propensity Scores to Reduce

Julie Z Zhao1, Mohammed Ruzieh2, Fanxing Du1

  • 1Department of Pharmaceutical Outcomes and Policy, College of Pharmacy (J.Z.Z., F.D., A.W., T.J.), University of Florida, Gainesville.

Insights

Left atrial appendage occlusion (LAAO) with the WATCHMAN device showed no significant difference in 1-year mortality compared to direct oral anticoagulants. High-dimensional propensity score (hdPS) analysis improved comparator selection for observational studies.

Area of Science:

  • Cardiology
  • Medical Informatics
  • Epidemiology

Background:

  • Observational studies suggested WATCHMAN device (percutaneous left atrial appendage occlusion [pLAAO]) reduced mortality, contrasting with randomized controlled trial (RCT) evidence.
  • Discrepancies highlight the need for advanced statistical methods in comparative effectiveness research.

Purpose of the Study:

  • To compare 1-year mortality between patients with atrial fibrillation receiving pLAAO versus direct oral anticoagulants (DOACs).
  • To evaluate the utility of high-dimensional propensity score (hdPS) in refining non-active comparator selection for observational studies.

Main Methods:

  • Two matched cohorts were created using Medicare data (2011-2018).
  • Cohort 1: Traditional propensity score (PS) matching.
  • Cohort 2: Integrated traditional PS with hdPS, excluding cancer patients and including frailty scores.

Main Results:

  • In Cohort 1 (PS matching), pLAAO showed a hazard ratio (HR) of 0.87 (95% CI, 0.69-1.09) for 1-year mortality.
  • In Cohort 2 (hdPS-enhanced), pLAAO showed an HR of 0.95 (95% CI, 0.73-1.24) for 1-year mortality.
  • Both cohorts demonstrated no significant difference in 1-year mortality between pLAAO and DOACs.

Conclusions:

  • pLAAO is not associated with a different 1-year mortality risk compared to DOACs in this real-world data analysis.
  • The hdPS methodology offers a valuable tool for improving patient selection and reducing bias in observational comparative effectiveness studies.
Abstract

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