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ABSTRACT: Background
Accurate prediction of 30‑day mortality after transcatheter aortic valve replacement (TAVR) remains challenging. Existing models often overlook key preoperative laboratory variables. We aimed to develop and internally validate a preoperative risk prediction model using routinely available variables measured before the procedure.We state that predictors were preoperative‑only.Methods
We retrospectively analyzed 1,673 consecutive patients who underwent TAVR at Fuwai Hospital between 2013 and 2023. Patients were randomly split into a training cohort (n = 1,171) and an internal hold out validation cohort (n = 502). Candidate predictors were prespecified as routinely available preoperative variables. All candidate predictors, including laboratory parameters (troponin,
SUBMITTER: Li H
PROVIDER: S-EPMC12625447 | biostudies-literature | 2025 Nov
REPOSITORIES: biostudies-literature