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用于预测脓毒性休克患者接受静脉-动脉体外膜肺氧合治疗结局的列线图。

Nomograms to predict outcome for patients undergoing venoarterial extracorporeal membrane oxygenation treatment for septic shock.

作者信息

Hu Kunlin, Wei Jing, Chi Xinyu, Zhang Jiwang, Zhao Xuanliang, Lu Liqiu, Liao Yufeng, Xiang Shulin, Xiong Bin

机构信息

Department of Critical Care Medicine, The People's Hospital of Guangxi Zhuang Autonomous Region, No. 6, Taoyuan Road, Nanning, 530021, China.

Research Center of Communicable and Severe Diseases, The People's Hospital of Guangxi Zhuang Autonomous Region (Guangxi Academy of Medical Sciences), Nanning, 530021, China.

出版信息

J Artif Organs. 2025 Aug 26. doi: 10.1007/s10047-025-01523-w.

Abstract

Venoarterial extracorporeal membrane oxygenation (VA-ECMO) is increasingly being employed to treat patients with refractory septic shock. Despite its growing use, there is a notable absence of prognostic assessment tools specifically designed for septic shock patients who have received VA-ECMO therapy. The aim of this study is to develop and validate a prognostic model for patients with refractory septic shock undergoing VA-ECMO, and to identify those who may derive the greatest benefit from this treatment. This single-center, retrospective cohort study was conducted at a comprehensive intensive care unit in China. Adult patients with refractory septic shock who received VA-ECMO treatment were included. Two hundred consecutive patients were randomly divided into training and validation cohorts in a 7:3 ratio. Least absolute shrinkage and selection operator regression analysis was employed to select relevant variables for the logistic regression model, and its performance was tested in both training and validation cohorts based on discrimination, calibration, and net benefit. Between January 2019 and September 2024, 293 patients were screened, 200 of whom were eligible and were divided into development (n = 140) and validation (n = 60) cohorts. The 28-day survival rate was 23.0%, and median duration of ECMO run was 6.0 days (IQR 2.0-8.0). Age, APACHE II score at ICU admission, immunosuppression status, hypertension, IL-6, and APTT measured within 6 h before ECMO initiation were the six predictors included in the nomograms. The nomogram demonstrated strong discriminative power in the training cohort (area under the curve [AUC]: 0.873, 95% CI 0.812-0.929), as well as in the validation cohort (area under the curve [AUC]: 0.818 (95% CI 0.687-0.920). The model's reliability in predicting outcomes was evident from the high consistency between predicted probabilities and observed proportions during calibration. Decision curve analysis indicated that the model's clinical benefit was advantageous. The novel validated nomogram is designed to predict outcomes after VA-ECMO treatment in individuals with refractory septic shock. It can support physicians in performing precise mortality risk evaluations and making more informed decisions regarding the application of VA-ECMO treatment.

摘要

静脉-动脉体外膜肺氧合(VA-ECMO)越来越多地用于治疗难治性感染性休克患者。尽管其应用越来越广泛,但明显缺乏专门为接受VA-ECMO治疗的感染性休克患者设计的预后评估工具。本研究的目的是开发并验证一种针对接受VA-ECMO治疗的难治性感染性休克患者的预后模型,并识别那些可能从该治疗中获益最大的患者。这项单中心回顾性队列研究在中国一家综合性重症监护病房进行。纳入接受VA-ECMO治疗的难治性感染性休克成年患者。200例连续患者按7:3的比例随机分为训练队列和验证队列。采用最小绝对收缩和选择算子回归分析为逻辑回归模型选择相关变量,并基于区分度、校准度和净效益在训练队列和验证队列中对其性能进行测试。2019年1月至2024年9月期间,共筛选出293例患者,其中200例符合条件并分为开发队列(n = 140)和验证队列(n = 60)。28天生存率为23.0%,ECMO运行的中位持续时间为6.0天(四分位间距2.0 - 8.0)。列线图纳入的六个预测因素为年龄、入住ICU时的急性生理与慢性健康状况评分系统(APACHE II)评分、免疫抑制状态、高血压、白细胞介素-6(IL-6)以及ECMO启动前6小时内测得的活化部分凝血活酶时间(APTT)。该列线图在训练队列中显示出强大的区分能力(曲线下面积[AUC]:0.873,95%置信区间0.812 - 0.929),在验证队列中也是如此(曲线下面积[AUC]:0.818(95%置信区间0.687 - 0.920)。在校准过程中,预测概率与观察比例之间的高度一致性表明该模型在预测结果方面具有可靠性。决策曲线分析表明该模型具有临床优势。新验证的列线图旨在预测难治性感染性休克患者接受VA-ECMO治疗后的结局。它可以帮助医生进行精确的死亡风险评估,并在应用VA-ECMO治疗时做出更明智的决策。

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