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Dataset Information

Development and validation of a nomogram for predicting pulmonary complications in elderly patients undergoing thoracic surgery.


ABSTRACT:

Background

Postoperative pulmonary complications (PPCs) remain a prevalent concern among elderly patients undergoing surgery, with a notably higher incidence observed in elderly patients undergoing thoracic surgery. This study aimed to develop a nomogram to predict the risk of PPCs in this population.

Methods

A total of 2963 elderly patients who underwent thoracic surgery were enrolled and randomly divided into a training cohort (80%, n = 2369) or a validation cohort (20%, n = 593). Univariate and multivariate logistic regression analyses were conducted to identify risk factors for PPCs, and a nomogram was developed based on the findings from the training cohort. The validation cohort was used to validate the model. The predictive accuracy of the model was evaluated by recei

SUBMITTER: Liu J 

PROVIDER: S-EPMC11455794 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature