感染、炎症、修复2025，Vol.26Issue(3)：160-165,6.DOI:10.3969/j.issn.1672-8521.2025.03.004
创伤性脑损伤患者肺部感染的危险因素分析及列线图构建:基于MIMIC-Ⅳ数据库的回顾性队列研究
Risk factors analysis and nomogram construction for pulmonary infection in traumatic brain injury patients:A retrospective cohort study based on the MIMIC-Ⅳ database
摘要
Abstract
Objective:To construct a risk prediction model for pulmonary infection in patients with traumatic brain injury(TBI),providing a tool for early identification of high-risk individuals in the intensive care unit(ICU).Methods:Based on the Medical Information Mart for Intensive Care(MIMIC-Ⅳ database),1,443 TBI patients admitted to the ICU were included.Independent risk factors for pulmonary infection in TBI patients were screened through univariate and multivariate logistic regression analysis,and a nomogram prediction model was constructed.Results:The overall incidence of pulmonary infection was 12.1%(174/1,443),and the 28-day ICU mortality rate in the pulmonary infection group was significantly higher than that in the non-pulmonary infection group[13.2%(23/174)vs 7.8%(99/1,269),P＜0.05].Chronic pulmonary disease,respiratory rate,body temperature,mechanical ventilation,and antibiotic therapy[OR(95%CI)were 2.09(1.28-3.41),1.09(1.03-1.16),1.86(1.29-2.68),2.05(1.34-3.14),and 4.24(2.65-6.81),respectively]were identified as independent risk factors for pulmonary infection in TBI patients(P＜0.05).The nomogram model based on these variables demonstrated good discrimination(AUC=0.782,95%CI 0.748-0.816).Conclusions:The nomogram model developed in this study integrates baseline comorbidities,dynamic physiological parameters,and therapeutic interventions,effectively identifying high-risk TBI patients for pulmonary infection(score＞60),providing evidence-based support for early clinical intervention.关键词
脑损伤,创伤性/肺部感染/重症监护病房/危险因素/列线图Key words
Traumatic brain injury/Pulmonary infection/Intensive care unit/Risk factor/Nomogram分类
医药卫生引用本文复制引用
朱雅琳,葛娅楠,黄捷,王嘉锋..创伤性脑损伤患者肺部感染的危险因素分析及列线图构建:基于MIMIC-Ⅳ数据库的回顾性队列研究[J].感染、炎症、修复,2025,26(3):160-165,6.基金项目
国家自然科学基金资助项目(82072147) （82072147）
舟山市医药卫生科技计划项目(2023JYB01) （2023JYB01）
