兰州大学学报（医学版）2025，Vol.51Issue(10)：13-19,7.DOI:10.13885/j.issn.2097-681X.2025.10.003
基于生物标志物和列线图的ICU患者获得性衰弱预测模型研究
A predictive model of ICU acquired weakness based on biomarkers and nomograms
摘要
Abstract
Objective To develop a predictive model for intensive care unit-acquired weakness(ICU-AW)based on biomarkers and a nomogram.Methods A single-center observational study was conducted at the Sec-ond Affiliated Hospital of Hunan University of Traditional Chinese Medicine from July 2021 to July 2022,including 157 consecutive newly admitted ICU patients.Participants were divided into an ICU-AW group(n=80)and a non-ICU-AW group(n=77).Difference in demographics,laboratory measurements,therapeutic management,and clinical outcomes between the two were calculated.Logistic regression analysis was used to identify risk factors associated with ICU-AW and to construct a nomogram model,which was then validated.Results Patients in the ICU-AW group showed significantly higher age,amylase levels,lactate levels,Acute Physiology and Chronic Health Evaluation(APACHE Ⅱ)scores,and Sequential Organ Failure Assessment(SOFA)scores as compared with the non-ICU-AW group(P<0.05).Serum albumin levels were significantly lower in the ICU-AW group than those in the non-ICU-AW group(P<0.05).A greater proportion of ICU-AW patients underwent continuous renal replacement therapy,prone positioning,pulse steroid therapy,and neu-romuscular blocking agents(P<0.05),and had a significantly longer ventilation duration(P<0.05).ICU-AW patients also exhibited significant delays in their first activity compared to non-ICU-AW patients(P<0.05).Age,APACHE Ⅱ score,SOFA score,albumin levels,use of neuromuscular blocking agents,pulse steroid therapy and lactate levels were closely associated with the occurrence of ICU-AW(P<0.05).Based on these independent risk factors,a nomogram model was developed to predict the risk of ICU-AW.Internal valida-tion of the model showed a mean absolute error of 0.011.The area under the curve,sensitivity,and specificity of the nomogram were 0.839,0.857 and 0.763,respectively.Conclusion A robust and user-friendly nomo-gram model was developed to predict the risk of ICU-AW.关键词
生物标志物/列线图/重症监护室-获得性虚弱/预测模型Key words
biomarkers/nomogram/intensive care unit-acquired weakness/prediction model分类
医药卫生引用本文复制引用
蒋霞,段丽娜,曾晓璐,胡俊吉,刘君..基于生物标志物和列线图的ICU患者获得性衰弱预测模型研究[J].兰州大学学报（医学版）,2025,51(10):13-19,7.基金项目
湖南省卫生健康委科研计划资助项目(B202314010044) （B202314010044）
