Open AccessA Prediction Model for Postoperative Pulmonary Complication in Pulmonary Function-Impaired Patients Following Lung Resection
Author(s) -
Xiaowei Mao,
Wei Zhang,
Yiqian Ni,
Yiming Niu,
Liyan Jiang
Publication year - 2021
Publication title -
journal of multidisciplinary healthcare
Language(s) - English
Resource type - Journals
ISSN - 1178-2390
DOI - 10.2147/jmdh.s327285
Subject(s) - medicine , pulmonary function testing , logistic regression , lung cancer , vital capacity , lung cancer surgery , receiver operating characteristic , univariate analysis , lung , cardiology , lung function , multivariate analysis , diffusing capacity
Most patients with lung cancer have impaired pulmonary function. Single pulmonary function parameters have been suggested as good indices for predicting postoperative pulmonary complications (PPC). The purpose of this retrospective study was to construct a prediction model, including more than one pulmonary function parameter, for better prediction of PPC in patients with lung cancer and impaired pulmonary function.