Section of General Thoracic Surgery, University of California Davis Health, Sacramento, CA.
Center for Healthcare Policy and Research, University of California Davis Health, Sacramento, CA.
Ann Surg. 2021 Jul 1;274(1):e70-e79. doi: 10.1097/SLA.0000000000003561.
The aim of this study was to identify independent predictors of hospital readmission for patients undergoing lobectomy for lung cancer.
Hospital readmission after lobectomy is associated with increased mortality. Greater than 80% of the variability associated with readmission after surgery is at the patient level. This underscores the importance of using a data source that includes detailed clinical information.
Using the Society of Thoracic Surgeons (STS) General Thoracic Surgery Database (GTSD), we conducted a retrospective cohort study of patients undergoing elective lobectomy for lung cancer. Three separate multivariable logistic regression models were generated: the first included preoperative variables, the second added intraoperative variables, and the third added postoperative variables. The c statistic was calculated for each model.
There were 39,734 patients from 277 centers. The 30-day readmission rate was 8.2% (n = 3237). In the final model, postoperative complications had the greatest effect on readmission. Pulmonary embolus {odds ratio [OR] 12.34 [95% confidence interval (CI),7.94-19.18]} and empyema, [OR 11.66 (95% CI, 7.31-18.63)] were associated with the greatest odds of readmission, followed by pleural effusion [OR 7.52 (95% CI, 6.01-9.41)], pneumothorax [OR 5.08 (95% CI, 4.16-6.20)], central neurologic event [OR 3.67 (95% CI, 2.23-6.04)], pneumonia [OR 3.13 (95% CI, 2.43-4.05)], and myocardial infarction [OR 3.16 (95% CI, 1.71-5.82)]. The c statistic for the final model was 0.736.
Complications are the main driver of readmission after lobectomy for lung cancer. The highest risk was related to postoperative events requiring a procedure or medical therapy necessitating inpatient care.
本研究旨在确定接受肺癌肺叶切除术患者住院再入院的独立预测因素。
肺叶切除术后再入院与死亡率增加相关。手术相关再入院的可变性中超过 80% 存在于患者层面。这突出表明使用包含详细临床信息的数据源的重要性。
我们使用胸外科医师学会(STS)普通胸外科数据库(GTSD),对因肺癌接受择期肺叶切除术的患者进行了回顾性队列研究。生成了三个独立的多变量逻辑回归模型:第一个模型包含术前变量,第二个模型添加了术中变量,第三个模型添加了术后变量。为每个模型计算了 C 统计量。
共有来自 277 个中心的 39734 例患者。30 天再入院率为 8.2%(n=3237)。在最终模型中,术后并发症对再入院的影响最大。肺栓塞[比值比(OR)12.34(95%置信区间[CI],7.94-19.18)]和脓胸[OR 11.66(95%CI,7.31-18.63)]与再入院的最大比值相关,其次是胸腔积液[OR 7.52(95%CI,6.01-9.41)]、气胸[OR 5.08(95%CI,4.16-6.20)]、中枢神经系统事件[OR 3.67(95%CI,2.23-6.04)]、肺炎[OR 3.13(95%CI,2.43-4.05)]和心肌梗死[OR 3.16(95%CI,1.71-5.82)]。最终模型的 C 统计量为 0.736。
并发症是肺癌肺叶切除术后再入院的主要驱动因素。风险最高的是与需要住院治疗的术后事件相关,这些事件需要进行操作或药物治疗。