A Risk Prediction Model for Operative Mortality after Heart Valve Surgery in a Korean Cohort.

ABSTRACT:

Background

This study aimed to develop a new risk prediction model for operative mortality in a Korean cohort undergoing heart valve surgery using the Korea Heart Valve Surgery Registry (KHVSR) database.

Methods

We analyzed data from 4,742 patients registered in the KHVSR who underwent heart valve surgery at 9 institutions between 2017 and 2018. A risk prediction model was developed for operative mortality, defined as death within 30 days after surgery or during the same hospitalization. A statistical model was generated with a scoring system by multiple logistic regression analyses. The performance of the model was evaluated by its discrimination and calibration abilities.

Results

Operative mortality occurred in 142 patients. The final regression models identified 13

SUBMITTER: Kim HJ 

PROVIDER: S-EPMC8038884 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature