[Establishment and validation of a predictive model for postoperative pulmonary complications in elderly patients undergoing non-cardiac surgery]

Zhonghua Yi Xue Za Zhi. 2024 Nov 5;104(41):3792-3799. doi: 10.3760/cma.j.cn112137-20240318-00602.
[Article in Chinese]

Abstract

Objective: To develop and validate a predictive model for postoperative pulmonary complications (PPCs) in elderly patients undergoing non-cardiac surgery. Methods: This retrospective study included 51 354 elderly patients over 65 years old who underwent non-cardiac surgery at the First Medical Center of Chinese PLA General Hospital from January 2009 to December 2018. The patients were randomly divided into a modeling group [n=41 084; 21 550 males, 19 534 females; age: 70 (67, 74) years] and an internal validation group [n=10 270; 5 458 males, 4 812 females; age: 70 (67, 74) years] at a ratio of 4∶1. Additionally, an external validation group of 14 378 patients [7 893 males, 6 845 females; age: 70 (67, 75) years] who underwent non-cardiac surgery at Henan Provincial People's Hospital between November 2014 and May 2022 was retrospectively included. Multivariate logistic regression were performed to identify factors associated with PPCs. A nomogram prediction model was constructed based on these factors and validated internally and externally. The model's performance and clinical applicability were assessed using receiver operating characteristic (ROC) curves, calibration curves, and decision curves. Results: Among the 51 354 elderly patients underwent general anesthesia for non-cardiac surgery, the incidence of PPCs was 17.5% (9 008/51 354). Multivariate logistic regression analysis reveals that anesthesia duration 130-<183 min (OR=1.858, 95%CI: 1.529-2.266), anesthesia duration 183-<250 min (OR=2.537, 95%CI: 2.079-3.108), anesthesia duration≥250 min(OR=3.533, 95%CI: 2.868-4.368), crystalloid infusion volume 1 400-<2 000 ml (OR=1.481, 95%CI: 1.204-1.829), crystalloid infusion volume 2 000-<9 000 ml (OR=1.776, 95%CI: 1.426-2.220), upper abdominal surgery (OR=1.658, 95%CI: 1.498-1.835), malignancy (OR=1.796, 95%CI: 1.606-2.012), fentanyl dosage 0.40-<0.55 mg (OR=1.404, 95%CI: 1.203-1.640), fentanyl dosage≥0.55 mg (OR=1.601, 95%CI: 1.386-1.854), prophylactic use of antibiotics (OR=7.897, 95%CI: 5.124-12.983), age (OR=1.039, 95%CI: 1.030-1.049), smoking (OR=1.124, 95%CI: 1.014-1.246), preoperative chest X-ray abnormalities (OR=2.139, 95%CI: 1.820-2.509) and intraoperative hypotension (OR=3.184, 95%CI: 2.120-4.795) were risk factors for PPCs, while elective surgery (OR=0.301, 95%CI: 0.220-0.417) was a protective factor. The nomogram model incorporating these factors had an area under the curve (AUC) of 0.757 (95%CI: 0.748-0.766, P=0.309) in the modeling group, 0.779 (95%CI: 0.760-0.796, P=0.171) in the internal validation group, and 0.778 (95%CI: 0.763-0.792, P<0.001) in the external validation group. Calibration curves and decision curves demonstrated good consistency and benefit of the model. Conclusion: The nomogram model which based on anesthesia duration, crystalloid infusion volume, upper abdominal surgery, malignancy, fentanyl dosage, prophylactic use of antibiotics, age, smoking, preoperative chest X-ray abnormalities, intraoperative hypotension and elective surgery provides strong predictive value and clinical utility for assessing the risk of PPCs in elderly patients undergoing non-cardiac surgery.

目的: 构建并验证非心脏手术老年患者发生术后肺部并发症(PPCs)的预测模型。 方法: 回顾性纳入2009年1月至2018年12月在解放军总医院第一医学中心完成非心脏手术的65岁以上老年患者51 354例,按照4∶1比例分为建模组[n=41 084,男21 550例,女19 534例,年龄MQ1Q3)为70(67,74)岁]和内部验证组[n=10 270,男5 458例,女4 812例,年龄70(67,74)岁]。回顾性纳入2014年11月至2022年5月河南省人民医院14 378例患者作为外部验证组[男7 893例,女6 845例,年龄70(67,75)岁]。采用多因素logistic回归分析非心脏手术老年患者发生PPCs的相关因素,建立列线图预测模型,并对模型进行内部和外部验证。采用受试者工作特征(ROC)曲线、校准曲线及决策曲线评估模型性能及临床适用性。 结果: 51 354例全身麻醉非心脏手术老年患者中,PPCs发生率为17.5%(9 008/51 354)。多因素logistic回归分析显示:麻醉时间130~<183 min(OR=1.858,95%CI:1.529~2.266)、麻醉时间183~<250 min(OR=2.537,95%CI:2.079~3.108)、麻醉时间≥250 min(OR=3.533,95%CI:2.868~4.368)、晶体输入量1 400~<2 000 ml(OR=1.481,95%CI:1.204~1.829)、晶体输入量2 000~<9 000 ml(OR=1.776,95%CI:1.426~2.220)、上腹部手术(OR=1.658,95%CI:1.498~1.835)、恶性肿瘤(OR=1.796,95%CI:1.606~2.012)、芬太尼用量0.40~0.55 mg(OR=1.404,95%CI:1.203~1.640)、芬太尼用量>0.55 mg(OR=1.601,95%CI:1.386~1.854)、预防使用抗生素(OR=7.897,95%CI:5.124~12.983)、年龄(OR=1.039,95%CI:1.030~1.049)、吸烟(OR=1.124,95%CI:1.014~1.246)、术前胸部X线异常(OR=2.139,95%CI:1.820~2.509)、术中低血压(OR=3.184,95%CI:2.120~4.795)均为PPCs的危险因素,择期手术(OR=0.301,95%CI:0.220~0.417)是PPCs的保护因素。将以上因素纳入并建立列线图预测模型,该模型在建模组的曲线下面积(AUC)为0.757(95%CI:0.748~0.766,P=0.309),内部验证组的AUC为0.779(95%CI:0.760~0.796,P=0.171),外部验证组的AUC为0.778(95%CI:0.763~0.792,P<0.001)。校准曲线和决策曲线显示模型一致性与获益性较好。 结论: 基于麻醉时间、晶体输入量、上腹部手术、恶性肿瘤、芬太尼用量、预防使用抗生素、年龄、吸烟、术前胸部X线异常、术中低血压、择期手术构建的列线图模型对非心脏手术老年患者PPCs具有较好的预测价值及临床应用价值。.

Publication types

  • English Abstract

MeSH terms

  • Aged
  • Female
  • Humans
  • Logistic Models
  • Lung Diseases / etiology
  • Male
  • Postoperative Complications* / etiology
  • ROC Curve
  • Retrospective Studies
  • Risk Factors