Dynamic Nomogram for Predicting the Risk of Perioperative Neurocognitive Disorders in Adults.

ABSTRACT:

Background

Simple and rapid tools for screening high-risk patients for perioperative neurocognitive disorders (PNDs) are urgently needed to improve patient outcomes. We developed an online tool with machine-learning algorithms using routine variables based on multicenter data.

Methods

The entire dataset was composed of 49,768 surgical patients from 3 representative academic hospitals in China. Surgical patients older than 45 years, those undergoing general anesthesia, and those without a history of PND were enrolled. When the patient's discharge diagnosis was PND, the patient was in the PND group. Patients in the non-PND group were randomly extracted from the big data platform according to the surgical type, age, and source of data in the PND group with a ratio of 3:1. After

SUBMITTER: Song AL 

PROVIDER: S-EPMC10629609 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature