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

IF 2.6 3区 医学 Q2 ANESTHESIOLOGY BMC Anesthesiology Pub Date : 2025-01-25 DOI:10.1186/s12871-025-02911-8
Ling Lei, Liang He, Tongjuan Zou, Jun Qiu, Yi Li, Ran Zhou, Yao Qin, Wanhong Yin
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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.

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利用关键超声和生物标志物预测重症监护病房获得性虚弱的早期诊断。
目的:重症监护病房获得性虚弱(ICUAW)的早期诊断对改善危重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的早期诊断预测模型。方法:本前瞻性多中心观察研究纳入四川大学华西医院及其他10家医院综合重症监护室于2023年9 - 11月收治的脓毒症患者。纳入标准如下:年龄18岁以上;预计ICU住院时间超过3天;自愿知情同意。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。建立了预测ICUAW概率的nomogram模型,该模型涉及股中间肌直径、股直肌横截面积、IL-6和CRP。复合诊断ROC曲线的AUC为0.966 (95%CI: 0.936 ~ 0.996),敏感性为88%,特异性为95.8%。结论:构建了一种诊断脓毒症患者ICUAW的nomogram模型,该模型简单、快速、直观,具有较好的诊断能力。
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来源期刊
BMC Anesthesiology
BMC Anesthesiology ANESTHESIOLOGY-
CiteScore
3.50
自引率
4.50%
发文量
349
审稿时长
>12 weeks
期刊介绍: BMC Anesthesiology is an open access, peer-reviewed journal that considers articles on all aspects of anesthesiology, critical care, perioperative care and pain management, including clinical and experimental research into anesthetic mechanisms, administration and efficacy, technology and monitoring, and associated economic issues.
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