A nomogram to predict pulmonary complications after gastrointestinal surgery: a retrospective study.

ABSTRACT:

Objective

We aimed at developing a nomogram able to predict postoperative pulmonary complications (PPC) after gastrointestinal surgery.

Methods

We retrospectively analyzed the clinical data of patients who underwent gastrointestinal surgery at Jiangnan University Affiliated Hospital from December 2017 to May 2022. Patients were randomly divided into training cohort and validation cohort at a 7:3 ratio. The training cohort is divided into PPC group and Non-PPC group. The Least Absolute Shrinkage and Selection Operator (LASSO) method and logistic regression were used to determine the independent risk factors. The identified risk factors were used to construct a nomogram model for predicting the risk of PPC after gastrointestinal surgery. The nomogram model was validated by the

SUBMITTER: Zhou C 

PROVIDER: S-EPMC12007244 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature