Rongjia Lin1, Guowei Che1. 1. Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China.
Abstract
BACKGROUND: Cough is a common respiratory complication in non-small cell lung cancer (NSCLC) patients after surgery. Previous studies have proposed a number of risk factors for postoperative cough; however, these studies are mainly based on traditional thoracotomies and tend to lack adequate objective assessment methods. The purpose of this study was to identify the risk factors of cough in NSCLC patients after video-assisted thoracoscopic surgery (VATS) using the Leicester Cough Questionnaire in Mandarin Chinese (LCQ-MC) to evaluate postoperative cough. METHODS: A total of 198 NSCLC patients were enrolled. Overall, 91 patients (46.0%) developed cough after VATS, and 73 patients remained cough after 1 month. Univariate and multivariate logistic regression analyses were performed to identify the independent risk factors of postoperative cough. RESULTS: The independent factors of postoperative cough included female sex [odds ratio (OR) 2.399, 95% confidence interval (CI): 1.260-4.565, P=0.008], duration of anesthesia (over 164 minutes; OR 2.810, 95% CI: 1.368-5.771, P=0.005), resection of the lower paratracheal nodes (OR 3.697, 95% CI: 1.439-9.499, P=0.007), and resection of the subcarinal nodes (OR 4.175, 95% CI: 1.203-14.495, P=0.024). The follow-up LCQ-MC total score after 1 month (18.00±1.80) was significantly higher than the postoperative total score (16.35±2.26; P=0.004). CONCLUSIONS: Female sex, duration of anesthesia over 164 minutes, lower paratracheal node resection and subcarinal node resection were independent risk factors related to cough in NSCLC patients after VATS. In addition, the LCQ-MC performed satisfactorily in describing the longitudinal changes in cough symptoms.
BACKGROUND: Cough is a common respiratory complication in non-small cell lung cancer (NSCLC) patients after surgery. Previous studies have proposed a number of risk factors for postoperative cough; however, these studies are mainly based on traditional thoracotomies and tend to lack adequate objective assessment methods. The purpose of this study was to identify the risk factors of cough in NSCLC patients after video-assisted thoracoscopic surgery (VATS) using the Leicester Cough Questionnaire in Mandarin Chinese (LCQ-MC) to evaluate postoperative cough. METHODS: A total of 198 NSCLC patients were enrolled. Overall, 91 patients (46.0%) developed cough after VATS, and 73 patients remained cough after 1 month. Univariate and multivariate logistic regression analyses were performed to identify the independent risk factors of postoperative cough. RESULTS: The independent factors of postoperative cough included female sex [odds ratio (OR) 2.399, 95% confidence interval (CI): 1.260-4.565, P=0.008], duration of anesthesia (over 164 minutes; OR 2.810, 95% CI: 1.368-5.771, P=0.005), resection of the lower paratracheal nodes (OR 3.697, 95% CI: 1.439-9.499, P=0.007), and resection of the subcarinal nodes (OR 4.175, 95% CI: 1.203-14.495, P=0.024). The follow-up LCQ-MC total score after 1 month (18.00±1.80) was significantly higher than the postoperative total score (16.35±2.26; P=0.004). CONCLUSIONS: Female sex, duration of anesthesia over 164 minutes, lower paratracheal node resection and subcarinal node resection were independent risk factors related to cough in NSCLC patients after VATS. In addition, the LCQ-MC performed satisfactorily in describing the longitudinal changes in cough symptoms.
Authors: William D Travis; Elisabeth Brambilla; Allen P Burke; Alexander Marx; Andrew G Nicholson Journal: J Thorac Oncol Date: 2015-09 Impact factor: 15.609
Authors: Paul F White; Jun Tang; Ronald H Wender; Roya Yumul; O Jameson Stokes; Alexander Sloninsky; Robert Naruse; Robert Kariger; Evelyn Norel; Steven Mandel; Tom Webb; Alan Zaentz Journal: Anesth Analg Date: 2009-08 Impact factor: 5.108
Authors: Liuying Pan; Xiaofei Zhou; Chun Xu; Cheng Ding; Jun Chen; Xinyu Zhu; Jun Zhao; Chang Li Journal: Thorac Cancer Date: 2021-06-10 Impact factor: 3.500