The primary objective of the TREAT-WHF study is to leverage a diverse and contemporary heart failure cohort with rigorously adjudicated worsening heart failure events to describe the crude rate of all-cause and cause-specific health care utilization and the independent association of secondary heart failure hospitalizations with outcomes after adjusting for traditional risk factors. This study builds on our prior research that showed machine learning-based natural language processing algorithms can accurately identify hospitalizations for worsening heart failure and resulted in a more than twofold increase in the perceived population burden of hospitalizations for worsening heart failure compared to diagnostic coding alone.
Trajectory of PRimary and SEcondAry HospitalizaTions for Worsening Heart Failure (TREAT-WHF)
Investigator: Ambrosy, Andrew
Funder: Lexicon Pharmaceuticals, Inc.