초록접수 현황
| 16F-215 | 구연 발표 |
Predictive Factors for Readmission after Pulmonary Resection of Non-Small Cell Lung Cancer
Kyung-wook Shin, Sukki Cho, Eun Young Choi, Sung Won Yum, Kwhanmien Kim, Sanghoon Jheon
Department of Thoracic and Cardiovascular Surgery, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Gyeonggi-do, Korea
Background : The aim of this study is to find the predictors for hospital readmission within 30 days of discharge after pulmonary resection of non-small cell lung cancer (NSCLC).
Methods : The medical records of patients who underwent pulmonary resection between January 2011 and June 2015 were reviewed. Univariate analysis was performed to identify preoperative differences between patients who were readmitted and those who were not readmitted, and multivariate logistic regression methods were used to find the predictors for readmission.
Results : Seventy-eight patients among 1,253 patients (6%) were readmitted postoperatively. The most common cause of readmission was pneumothorax (n=25), followed by pleural effusion (n=19) requiring drainage and pneumonia (n=15). Patients with the following factors were more likely to be readmitted than their respective counterparts: Male gender (7.8% vs. 4.0%, p=0.007), ever-smokers (8.0% vs 4.6%, o=0.013), patients with COPD (13.6% vs 5.7%, p=0.005), bilobectomy/pneumonectomy (10.9% vs 6.3%, p=0.014), patients with postoperative complication (17.2% vs 2.4%, p=0.001), and longer hospital stays (6.9 d vs 5.8d, p=0.017). However, old age, absence of spouse, open procedure, implementation of clinical pathway, longer ICU stay, and advanced pathologic staging were not different between the readmitted and non-readmitted patients. According to a multivariate analysis, the presence of COPD and postoperative complication, as well as longer hospital stay were independent significant predictors for readmission after discharge.
Conclusion : The presence of COPD and postoperative complication, and longer hospital stay were identified to significantly influence hospital readmission. Hence, these predictors should be considered during preoperative patient education and postoperative discharge planning.
Methods : The medical records of patients who underwent pulmonary resection between January 2011 and June 2015 were reviewed. Univariate analysis was performed to identify preoperative differences between patients who were readmitted and those who were not readmitted, and multivariate logistic regression methods were used to find the predictors for readmission.
Results : Seventy-eight patients among 1,253 patients (6%) were readmitted postoperatively. The most common cause of readmission was pneumothorax (n=25), followed by pleural effusion (n=19) requiring drainage and pneumonia (n=15). Patients with the following factors were more likely to be readmitted than their respective counterparts: Male gender (7.8% vs. 4.0%, p=0.007), ever-smokers (8.0% vs 4.6%, o=0.013), patients with COPD (13.6% vs 5.7%, p=0.005), bilobectomy/pneumonectomy (10.9% vs 6.3%, p=0.014), patients with postoperative complication (17.2% vs 2.4%, p=0.001), and longer hospital stays (6.9 d vs 5.8d, p=0.017). However, old age, absence of spouse, open procedure, implementation of clinical pathway, longer ICU stay, and advanced pathologic staging were not different between the readmitted and non-readmitted patients. According to a multivariate analysis, the presence of COPD and postoperative complication, as well as longer hospital stay were independent significant predictors for readmission after discharge.
Conclusion : The presence of COPD and postoperative complication, and longer hospital stay were identified to significantly influence hospital readmission. Hence, these predictors should be considered during preoperative patient education and postoperative discharge planning.
책임저자: Sukki Cho
Department of Thoracic and Cardiovascular Surgery, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Gyeonggi-do, Korea
발표자: Kyung-wook Shin, E-mail : sinkw@hanmail.net