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Dataset Information

Development and validation of a nomogram to predict postoperative pulmonary complications following thoracoscopic surgery.


ABSTRACT:

Background

Postoperative pulmonary complications (PPCs) after thoracoscopic surgery are common. This retrospective study aimed to develop a nomogram to predict PPCs in thoracoscopic surgery.

Methods

A total of 905 patients who underwent thoracoscopy were randomly enrolled and divided into a training cohort and a validation cohort at 80%:20%. The training cohort was used to develop a nomogram model, and the validation cohort was used to validate the model. Univariate and multivariable logistic regression were applied to screen risk factors for PPCs, and the nomogram was incorporated in the training cohort. The discriminative ability and calibration of the nomogram for predicting PPCs were assessed using C-indices and calibration plots.

Results

Among the patients, 207 (

SUBMITTER: Wang B 

PROVIDER: S-EPMC8572520 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

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