Journal of Capital Medical University ›› 2022, Vol. 43 ›› Issue (4): 564-569.doi: 10.3969/j.issn.1006-7795.2022.04.009

• Integrated Diagnosis and Treatment of Lung Cancer • Previous Articles     Next Articles

Analysis of clinical characteristics and risk factors of arrhythmia after thoracoscopic pneumonectomy in elderly patients with lung cancer

Zhang Jingtao, Wang Xinran, Han Binru, Qiang Ying, Liu Xueqi, Zhang Yi*   

  1. Department of Thoracic Surgery, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
  • Received:2022-04-13 Online:2022-08-21 Published:2022-10-28
  • Contact: *E-mail:zhangyi@xwhosp.org
  • Supported by:
    This study was supported by Capital Medical Development Research Fund (2022-2-2013).

Abstract: Objective To investigate the risk factors of arrhythmia in elderly lung cancer patients age≥60 years after thoracoscopic pneumonectomy under general anesthesia. Methods Retrospective analysis was performed on the data of 100 elderly lung cancer patients admitted to Xuanwu Hospital, Capital Medical University from October 2021 to December 2021. Patients diagnosed with concurrent arrhythmia were selected as the observation group (arrhythmia group), and patients diagnosed with non-arrhythmia were selected as the control group (non-arrhythmia group). Univariate and multivariate Logistic regression were used to analyze risk factors. Results The total incidence of arrhythmia in hospitalized patients after thoracoscopic lung cancer resection was 19%. Age, surgical methods, complications and hypertension were independent risk factors for arrhythmia in patients with lung cancer surgery. Conclusion For elderly lung cancer patients, the possibility of postoperative arrhythmia could be inferred by the age, past history of hypertension, postoperative constipation, surgical methods, albumin abnormalities, and then targeted treatment, in order to achieve early diagnosis and prevention of postoperative arrhythmia.

Key words: elderly, thoracoscopy, lung cancer resection, arrhythmia, clinical features, risk factors

CLC Number: