A rapid electromechanical model to predict reverse remodeling following cardiac resynchronization therapy.

ABSTRACT: Cardiac resynchronization therapy (CRT) is an effective therapy for patients who suffer from heart failure and ventricular dyssynchrony such as left bundle branch block (LBBB). When it works, it reverses adverse left ventricular (LV) remodeling and the progression of heart failure. However, CRT response rate is currently as low as 50-65%. In theory, CRT outcome could be improved by allowing clinicians to tailor the therapy through patient-specific lead locations, timing, and/or pacing protocol. However, this also presents a dilemma: there are far too many possible strategies to test during the implantation surgery. Computational models could address this dilemma by predicting remodeling outcomes for each patient before the surgery takes place. Therefore, the goal of this study was to devel

SUBMITTER: Oomen PJA 

PROVIDER: S-EPMC9241386 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature