新医学2025，Vol.56Issue(9)：865-871,7.DOI:10.12464/j.issn.0253-9802.2025-0148
ICU铜绿假单胞菌血流感染患者死亡风险的列线图模型
Nomogram model for the mortality risk of ICU patients with Pseudomonas aeruginosa bloodstream infections
摘要
Abstract
Objective To investigate the risk factors for the mortality of Intensive Care Unit(ICU)patients with Pseudomonas aeruginosa bloodstream infections,and to construct a predictive nomogram model to assist clinical decision-making.Methods Clinical data from 74 patients with Pseudomonas aeruginosa bloodstream infections in ICU of the First Affiliated Hospital of Sun Yat-sen University were gathered from January 2014 to December 2023.The patients were classified into the survival group(n=52)and mortality group(n=22)based on the prognosis.Univariate and multivariate Cox regression analyses were used to screen for independent prognostic factors,and a predictive nomogram model was constructed.The predictive performance and accuracy of the model were verified.Results Acute physiology and chronic health status scoreⅡ(APACHEⅡ)>20 and multiple organ dysfunction syndrome(MODS)were the independent risk factors for the mortality of ICU patients with Pseudomonas aeruginosa bloodstream infections(both P<0.05).The nomogram model was constructed based on these two independent risk factors,with a concordance index(C-index)of 0.759.The predictive efficiencies for survival probabilities at 7 days and 14 days were 0.776 and 0.844.Calibration curve and clinical decision curve showed that the model had good predictive efficiency.Conclusions A time-dynamic predictive nomogram model is constructed for the risk factors of the mortality of ICU patients with Pseudomonas aeruginosa bloodstream infections,which could effectively predict the risk of mortality of such patients.This model can assist clinicians to rapidly identify high-risk patients and optimize antibiotic use strategies.关键词
铜绿假单胞菌/血流感染/重症监护室/死亡风险因素/列线图Key words
Pseudomonas aeruginosa/Bloodstream infections/ICU/Mortality risk factors/Nomogram引用本文复制引用
叶梦敏,刘平娟,易思婷,曾今诚..ICU铜绿假单胞菌血流感染患者死亡风险的列线图模型[J].新医学,2025,56(9):865-871,7.基金项目
广东省自然科学基金(2024A1515012831) （2024A1515012831）
