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ABSTRACT: Background
With the development of surgical techniques and medical equipment, the mortality rate of off-pump coronary artery bypass grafting (CABG) has been declining year by year, but there is a lack of convenient and accurate predictive models. This study aims to use two nomograms to predict 30-day mortality after off-pump CABG.Methods
Patients with isolated off-pump CABG from January 2016 to January 2021 were consecutively enrolled. Potential predictive factors were first screened by lasso regression, and then predictive models were constructed by multivariate logistic regression. To earlier identify high-risk patients, two nomograms were constructed for predicting mortality risk before and after surgery.Results
A total of 1840 patients met the inclusion and excl
SUBMITTER: Wei Y
PROVIDER: S-EPMC11215261 | biostudies-literature | 2024 Jun
REPOSITORIES: biostudies-literature