[非心脏手术老年患者术后肺部并发症预测模型的建立与验证]。

Q3 Medicine
L B Ma, C S Zhang, X J Ma, J Q Zhang, S H Rong, J B Cao, Z K Zhou, W D Mi
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引用次数: 0

摘要

目的开发并验证非心脏手术老年患者术后肺部并发症(PPCs)的预测模型。方法这项回顾性研究纳入了 2009 年 1 月至 2018 年 12 月期间在中国人民解放军总医院第一医学中心接受非心脏手术的 51 354 名 65 岁以上老年患者。患者被随机分为建模组[n=41 084;男 21 550,女 19 534;年龄:70(67,74)岁]和内部验证组[n=10 270;男 5 458,女 4 812;年龄:70(67,74)岁],两组比例为 4∶1。此外,还回顾性地纳入了2014年11月至2022年5月期间在河南省人民医院接受非心脏手术的14 378例患者(男7 893例,女6 845例;年龄:70(67,75)岁)作为外部验证组。通过多变量逻辑回归确定与 PPCs 相关的因素。根据这些因素构建了一个提名图预测模型,并进行了内部和外部验证。使用接收器操作特征曲线(ROC)、校准曲线和决策曲线评估了模型的性能和临床适用性。结果在 51 354 名接受非心脏手术全身麻醉的老年患者中,PPC 的发生率为 17.5%(9 008/51 354)。多变量逻辑回归分析显示,麻醉持续时间 130-OR=1.858,95%CI:1.529-2.266)、麻醉持续时间 183-OR=2.537,95%CI:2.079-3.108)、麻醉持续时间≥250 min(OR=3.533,95%CI:2.868-4.368)、晶体液输注量 1 400-OR=1.481,95%CI:1.204-1.829)、晶体液输注量 2 000-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)、芬太尼剂量 0.40-OR=1.404,95%CI:1.203-1.640),芬太尼剂量≥0.55 mg(OR=1.601,95%CI:1.386-1.854),预防性使用抗生素(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.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 光异常(OR=2.139,95%CI:1.820-2.509)和术中低血压(OR=3.184,95%CI:2.120-4.795)是 PPCs 的危险因素,而择期手术(OR=0.301,95%CI:0.220-0.417)是保护因素。包含这些因素的提名图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),在内部验证组为 0.779(95%CI:0.760-0.796,P=0.171),在 PConclusion 组为 0.778(95%CI:0.763-0.792):基于麻醉持续时间、晶体液输注量、上腹部手术、恶性肿瘤、芬太尼用量、预防性使用抗生素、年龄、吸烟、术前胸部 X 光异常、术中低血压和择期手术的提名图模型为评估接受非心脏手术的老年患者发生 PPCs 的风险提供了很高的预测价值和临床实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Establishment and validation of a predictive model for postoperative pulmonary complications in elderly patients undergoing non-cardiac surgery].

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.

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来源期刊
Zhonghua yi xue za zhi
Zhonghua yi xue za zhi Medicine-Medicine (all)
CiteScore
0.80
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发文量
400
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