Risk analysis of postoperative nausea and vomiting in patients after gynecologic laparoscopic surgery.

ABSTRACT:

Aims

This study is designed to identify risk factors of postoperative nausea and vomiting (PONV) in patients after gynecologic laparoscopic surgery and establish a nomogram model.

Methods

In this retrospective and multicenter study, we collected and analyzed data from 1233 patients who underwent gynecologic laparoscopic surgery. The Lasso algorithm was used to optimize the selection of independent variables in the development group. Multivariate logistic regression analysis was used to explore the risk factors of PONV to develop the predictive nomogram model. Finally, we used an internal and external verification group and machine learning (ML) to evaluate the accuracy and clinical applicability of the model.

Results

The dosage of sufentanil in patient-controlled intr

SUBMITTER: Luo D 

PROVIDER: S-EPMC11437899 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature