Nomogram prediction model of postoperative pneumonia in patients with lung cancer: A retrospective cohort study.

ABSTRACT:

Background

The prediction model of postoperative pneumonia (POP) after lung cancer surgery is still scarce.

Methods

Retrospective analysis of patients with lung cancer who underwent surgery at The Fourth Hospital of Hebei Medical University from September 2019 to March 2020 was performed. All patients were randomly divided into two groups, training cohort and validation cohort at the ratio of 7:3. The nomogram was formulated based on the results of multivariable logistic regression analysis and clinically important factors associated with POP. Concordance index (C-index), receiver operating characteristic (ROC) curve, calibration curve, Hosmer-Lemeshow goodness-of-fit test and decision curve analysis (DCA) were used to evaluate the predictive performance of the nomogram.

SUBMITTER: Jin F 

PROVIDER: S-EPMC9996165 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature