转化医学杂志2026，Vol.15Issue(3)：398-402,5.DOI:10.3639/j.issn.2095-3097.2026.03.007
急性心肌梗死患者继发肺部感染的危险因素分析及列线图模型构建
Analysis and Construction of a Nomogram Model for Risk Factors of Secondary Pulmonary Infection in Patients with Acute Myocardial Infarction
摘要
Abstract
Objective To analyze the risk factors for secondary pulmonary infection in patients with acute myocardial infarction(AMI)and to construct a nomogram model.Methods A total of 204 AMI patients admitted to Dazhou Central Hospital from April 2022 to March 2025 were retrospectively enrolled as subjects.They were divided into an infection group and a non-infection group based on the occurrence of secondary pulmonary infection.Clinical data were compared between the two groups.Multivariate Logistic stepwise regression analysis was used to explore the influencing factors for secondary pulmonary infection in AMI patients.A nomogram model for predicting secondary pulmonary infection in AMI patients was constructed,and a calibration curve was plotted.The goodness-of-fit test was used to evaluate the model's fit,and the receiver operating characteristic curve was used to assess the predictive value of the nomogram model.Results Among the 204 AMI patients,43(21.08%)developed secondary pulmonary infection(infection group)and 161(78.92%)did not(non-infection group).In the infection group,58 pathogenic strains were detected,predominantly Gram-negative bacteria(60.34%).Compared with the non-infection group,the infection group had a higher proportion of males,patients aged≥60 years,patients with diabetes,Killip class Ⅲ-Ⅳ cardiac function,multi-vessel disease,and invasive procedures(all P<0.05).The infection group also had a longer hospital stay,higher levels of C-reactive protein and B-type natriuretic peptide(BNP),and a lower albumin level(all P<0.05).Multivariate Logistic stepwise regression analysis showed that age≥60 years,Killip class Ⅲ-Ⅳ cardiac function,invasive procedures,and high BNP level were risk factors for secondary pulmonary infection in AMI patients(all P<0.05).In the goodness-of-fit test for the nomogram model,χ²=0.752,P=0.513,indicating good model fit.The area under the curve(95%CI)of the nomogram for predicting secondary pulmonary infection was 0.902(0.851-0.953),with a specificity of 68.55%and a sensitivity of 92.13%.Conclusion The influencing factors for secondary pulmonary infection in AMI patients include age,Killip cardiac function classification,invasive procedures,and BNP level.The nomogram model constructed based on these factors shows good predictive performance.关键词
急性心肌梗死/肺部感染/危险因素/列线图Key words
acute myocardial infarction/pulmonary infection/risk factor/nomogram引用本文复制引用
陈苗,冯达应,何芳,徐淼,杨冬梅..急性心肌梗死患者继发肺部感染的危险因素分析及列线图模型构建[J].转化医学杂志,2026,15(3):398-402,5.基金项目
四川省医学科研课题计划项目(S23041) （S23041）
