Application of a Nomogram Model in Predicting Postoperative Delirium Following Percutaneous Coronary Intervention.

ABSTRACT: Background: Postoperative delirium is associated with an increased number of different complications, such as prolonged hospital stay, long-term cognitive impairment, and increased mortality. Therefore, early prediction of delirium after percutaneous coronary intervention (PCI) is necessary, but currently, there is still a lack of reliable and effective prediction models for such patients. Methods: All data used in this study were derived from the MIMIC-IV database. Multivariable Cox regression was employed to analyze the data, and the performance of the newly developed nomogram was evaluated based on the area under the receiver operating characteristic curve (AUC). The clinical value of the prediction model was tested using decision curve analysis (DCA). Results: A to

SUBMITTER: Xiong Y 

PROVIDER: S-EPMC12189321 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature