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体外循环心脏术后肺部感染的危险因素及其预测模型

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目的 分析体外循环心脏术后肺部感染的危险因素及其预警模型.方法 选择2021年1月-2022年12月于某三甲医院ICU完成体外循环心脏手术的172例患者展开回顾性分析,依据患者术后肺部感染情况分为感染组(n=41)和对照组(n=131);采用多因素Logistic回归分析归纳体外循环心脏术后肺部感染的危险因素,构建多因素联合应用的预警模型,总结感染组患者病原菌情况.结果 糖尿病、体外循环时间、美国麻醉师协会(ASA)分级为体外循环心脏术后患者发生肺部感染的危险因素,淋巴细胞(LYM)是保护因素(P<0.05);由危险因素构建的Log(P)预警模型,对体外循环心脏术后患者发生肺部感染的预警效能较高,受试者工作特征曲线下面积(ROC-AUC)(0.95CI)为0.884(0.769~0.969);感染组患者的病原菌以革兰阴性菌(70.59%)为主,其中鲍氏不动杆菌(36.76%)为主要菌株.结论 糖尿病、体外循环时间、ASA分级Ⅲ~Ⅳ级是体外循环心脏术后肺部感染的危险因素,LYM为保护因素,临床应对高危患者加强监测和预警,并及时依据感染菌株给予抗菌药物治疗,以改善患者预后.
Risk factors for postoperative pulmonary infections after cardiopulmonary bypass and their prediction model
OBJECTIVE To analyze the risk factors for postoperative pulmonary infections after cardiopulmonary bypass and their early warning model.METHODS Retrospective analysis was performed on 172 patients who com-pleted cardiac surgery with extracorporeal circulation in the ICU of a tertiary hospital from Jan.2021 to Dec.2022,and the patients were divided into an infection group(n=41)and a control group(n=131)according to postoper-ative pulmonary infection.Multivariate logistic regression was used to analyze and summarize the risk factors for postoperative pulmonary infection after cardiopulmonary bypass(CPB),to construct a multi-factor early warning model that applied in a combined manner,and to summarize the pathogenic bacteria of patients in the infected group.RESULTS Diabetes mellitus,duration of cardiopulmonary bypass,and American society of Anesthesiolo-gists(ASA)classification were risk factors for the occurrence of pulmonary infections in patients after cardiopul-monary bypass,and lymphocyte(LYM)was a protective factor(P<0.05).The Log(P)early warning model constructed from risk factors had a high efficacy of early warning for the occurrence of pulmonary infections in pa-tients after cardiopulmonary bypass(CPB),and the area under the network subject operating characteristic curve(ROC-AUC)(0.95CI)was 0.884(0.769-0.969).In the infection group,gram-negative bacteria(70.59%)were the main pathogenic bacteria,and with Acinetobacter baumannrii(36.76%)as the main strain.CONCLUSION Diabetes mellitus,duration of cardiopulmonary bypass,and ASA grade Ⅲ-Ⅳ were risk factors for pulmonary infection after cardiopulmonary bypass,and LYM was a protective factor.Clinical monitoring and early warning should be strengthened for high-risk patients,and antibiotics should be given according to the strains of infection in time to improve the prognosis of patients.

Cardiac surgeryExtracorporeal circulationPulmonary infectionPrediction modelEtiologyRisk factor

彭婷婷、邓殉、张山

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首都医科大学附属北京安贞医院心脏外科危重症中心,北京 100029

首都医科大学护理学院,北京 100069

心脏手术 体外循环 肺部感染 预测模型 病原学 危险因素

北京市教育委员会科研计划基金资助项目首都医科大学引进人才基金资助项目

KM2023100250161220012903

2024

中华医院感染学杂志
中华预防医学会 中国人民解放军总医院

中华医院感染学杂志

CSTPCD北大核心
影响因子:1.885
ISSN:1005-4529
年,卷(期):2024.34(3)
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