Department of Anesthesiology, The First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China.
Department of Anesthesiology, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China.
Aging Clin Exp Res. 2024 Oct 5;36(1):197. doi: 10.1007/s40520-024-02844-1.
Postoperative pulmonary complications (PPCs) remain a prevalent concern among elderly patients undergoing surgery, with a notably higher incidence observed in elderly patients undergoing thoracic surgery. This study aimed to develop a nomogram to predict the risk of PPCs in this population.
A total of 2963 elderly patients who underwent thoracic surgery were enrolled and randomly divided into a training cohort (80%, n = 2369) or a validation cohort (20%, n = 593). Univariate and multivariate logistic regression analyses were conducted to identify risk factors for PPCs, and a nomogram was developed based on the findings from the training cohort. The validation cohort was used to validate the model. The predictive accuracy of the model was evaluated by receiver operating characteristic (ROC) curve, area under ROC (AUC), calibration curve, and decision curve analysis (DCA).
A total of 918 (31.0%) patients reported PPCs. Nine independent risk factors for PPCs were identified: preoperative presence of chronic obstructive pulmonary disease (COPD), elevated leukocyte count, higher partial pressure of arterial carbon dioxide (PaCO) level, surgical site, thoracotomy, intraoperative hypotension, blood loss > 100 mL, surgery duration > 180 min, and malignant tumor. The AUC value for the training cohort was 0.739 (95% CI: 0.719-0.762), and it was 0.703 for the validation cohort (95% CI: 0.657-0.749). The P-values for the Hosmer-Lemeshow test were 0.633 and 0.144 for the training and validation cohorts, respectively, indicating a notable calibration curve fit. The DCA curve indicated that the nomogram could be applied clinically if the risk threshold was between 12% and 84%, which was found to be between 8% and 82% in the validation cohort.
This study highlighted the pressing need for early detection of PPCs in elderly patients undergoing thoracic surgery. The nomogram exhibited promising predictive efficacy for PPCs in elderly patients undergoing thoracic surgery, enabling the identification of high-risk patients and consequently aiding in the implementation of preventive interventions.
术后肺部并发症(PPCs)仍然是老年手术患者普遍关注的问题,尤其是在接受胸部手术的老年患者中,其发病率更高。本研究旨在为该人群开发一种预测 PPCs 风险的列线图。
共纳入 2963 例接受胸部手术的老年患者,随机分为训练队列(80%,n=2369)或验证队列(20%,n=593)。对 PPCs 的危险因素进行单因素和多因素 logistic 回归分析,并根据训练队列的结果建立列线图。验证队列用于验证模型。通过受试者工作特征(ROC)曲线、ROC 曲线下面积(AUC)、校准曲线和决策曲线分析(DCA)评估模型的预测准确性。
共有 918 例(31.0%)患者发生 PPCs。确定了 9 个 PPCs 的独立危险因素:术前存在慢性阻塞性肺疾病(COPD)、白细胞计数升高、动脉二氧化碳分压(PaCO)水平升高、手术部位、开胸手术、术中低血压、出血量>100 mL、手术时间>180 min 和恶性肿瘤。训练队列的 AUC 值为 0.739(95%CI:0.719-0.762),验证队列为 0.703(95%CI:0.657-0.749)。训练和验证队列的 Hosmer-Lemeshow 检验 P 值分别为 0.633 和 0.144,表明校准曲线拟合良好。DCA 曲线表明,如果风险阈值在 12%至 84%之间,列线图可以在临床上应用,而在验证队列中,该阈值在 8%至 82%之间。
本研究强调了早期发现接受胸部手术的老年患者 PPCs 的迫切需要。该列线图对接受胸部手术的老年患者 PPCs 的预测效果较好,能够识别高危患者,从而有助于实施预防干预措施。