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使用床旁超声和生物标志物预测脓毒症患者重症监护病房获得性肌无力的早期诊断

Predicting early diagnosis of intensive care unit-acquired weakness in septic patients using critical ultrasound and biological markers.

作者信息

Lei Ling, He Liang, Zou Tongjuan, Qiu Jun, Li Yi, Zhou Ran, Qin Yao, Yin Wanhong

机构信息

Department of Critical Care Medicine, West China Hospital, Sichuan University, 37 Guo Xue Xiang St, Chengdu, 610041, Sichuan, China.

Department of Respiratory and Critical Care Medicine, Xindu District People's Hospital, 199 Yuying Road South, Chengdu, 610500, Sichuan, China.

出版信息

BMC Anesthesiol. 2025 Jan 25;25(1):39. doi: 10.1186/s12871-025-02911-8.

Abstract

OBJECTIVE

Early diagnosis of intensive care unit-acquired weakness (ICUAW) is crucial for improving the outcomes of critically ill patients. Hence, this study was designed to identify predisposing factors for ICUAW and establish a predictive model for the early diagnosis of ICUAW.

METHODS

This prospective observational multicenter study included septic patients from the comprehensive ICUs of West China Hospital of Sichuan University and 10 other hospitals between September and November 2023. Inclusion criteria were as follows: age over 18 years; expected ICU stay longer than 3 days; and voluntary informed consent. Patients were classified into ICUAW (MRC score < 48) and non-ICUAW (MRC score ≥ 48) groups based on muscle strength assessments. The analyzed key predictive factors encompassed demographic data, SOFA and APACHE II scores, inflammatory markers (PCT, IL-6, and CRP), and ultrasound measurements of muscle thickness and cross-sectional area. Logistic regression analysis was conducted for variable selection and nomogram model construction.

RESULTS

A total of 116 septic patients were included, comprising 77 males and 39 females (mean age: 56.94 ± 19.90 years). A nomogram model predicting ICUAW probability was developed, which involved vastus intermedius diameter, rectus femoris cross-sectional area, IL-6, and CRP. The AUC of the composite diagnostic ROC curve was 0.966 (95%CI: 0.936 - 0.996), with a sensitivity of 88% and a specificity of 95.8%.

CONCLUSIONS

Conclusively, a nomogram model is constructed for diagnosing ICUAW in septic patients, which is simple and rapid and allows for visual representation, with excellent diagnostic capability.

摘要

目的

重症监护病房获得性肌无力(ICUAW)的早期诊断对于改善危重症患者的预后至关重要。因此,本研究旨在确定ICUAW的易感因素,并建立ICUAW早期诊断的预测模型。

方法

这项前瞻性观察性多中心研究纳入了2023年9月至11月期间四川大学华西医院综合重症监护病房及其他10家医院的脓毒症患者。纳入标准如下:年龄超过18岁;预计在重症监护病房停留时间超过3天;自愿签署知情同意书。根据肌肉力量评估,将患者分为ICUAW组(医学研究委员会评分<48)和非ICUAW组(医学研究委员会评分≥48)。分析的关键预测因素包括人口统计学数据、序贯器官衰竭评估(SOFA)和急性生理与慢性健康状况评分系统II(APACHE II)评分、炎症标志物(降钙素原、白细胞介素-6和C反应蛋白)以及肌肉厚度和横截面积的超声测量值。进行逻辑回归分析以进行变量选择和列线图模型构建。

结果

共纳入116例脓毒症患者,其中男性77例,女性39例(平均年龄:56.94±19.90岁)。建立了一个预测ICUAW概率 的列线图模型,该模型涉及股中间肌直径、股直肌横截面积、白细胞介素-6和C反应蛋白。综合诊断ROC曲线的AUC为0.966(95%CI:0.936 - 0.996),灵敏度为88%,特异度为95.8%。

结论

最终,构建了一个用于诊断脓毒症患者ICUAW的列线图模型,该模型简单快速,具有可视化表示,诊断能力出色。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7322/11761801/796279d98d75/12871_2025_2911_Fig1_HTML.jpg

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