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Dataset Information

Preoperative risk model and nomogram for 30‑Day mortality after TAVR: development and internal validation in a Chinese cohort.


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