Prediction of preoperative in-hospital mortality rate in patients with acute aortic dissection by machine learning: a two-centre, retrospective cohort study.

ABSTRACT:

Objectives

To conduct a comprehensive analysis of demographic information, medical history, and blood pressure (BP) and heart rate (HR) variability during hospitalisation so as to establish a predictive model for preoperative in-hospital mortality of patients with acute aortic dissection (AD) by using machine learning techniques.

Design

Retrospective cohort study.

Setting

Data were collected from the electronic records and the databases of Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine and the First Affiliated Hospital of Anhui Medical University between 2004 and 2018.

Participants

380 inpatients diagnosed with acute AD were included in the study.

Primary outcome

Preoperative in-hospital mortality rate.

SUBMITTER: Wu Z 

PROVIDER: S-EPMC10083797 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature