Suppr超能文献

院外心脏骤停初始非可电击心律患者接受体外心肺复苏的临床预测评分:开发与内部验证

Clinical Prediction Score for Patients With Initial Nonshockable Rhythm Receiving Extracorporeal Cardiopulmonary Resuscitation for Out-of-Hospital Cardiac Arrest: Development and Internal Validation.

作者信息

Kawauchi Akira, Okada Yohei, Aoki Makoto, Inoue Akihiko, Hifumi Toru, Sakamoto Tetsuya, Kuroda Yasuhiro, Nakamura Mitsunobu

机构信息

Department of Critical Care and Emergency Medicine Japanese Red Cross Maebashi Hospital Maebashi Gunma Japan.

Health Services and Systems Research Duke-NUS Medical School Singapore.

出版信息

J Am Heart Assoc. 2025 Sep 2;14(17):e042734. doi: 10.1161/JAHA.125.042734. Epub 2025 Aug 29.

Abstract

BACKGROUND

Selecting appropriate patients for extracorporeal cardiopulmonary resuscitation (ECPR) in cases of out-of-hospital cardiac arrest remains challenging, particularly for those with initial nonshockable rhythms. Our aim is to develop a prediction score to identify suitable ECPR candidates in patients with initial nonshockable rhythm.

METHODS

The data were sourced from the SAVE-J II (Study of Advanced Life Support for Ventricular Fibrillation With Extracorporeal Circulation in Japan II) study, a retrospective multicenter observational study in Japan. Included were adult patients with out-of-hospital cardiac arrest who underwent ECPR with initial pulseless electrical activity or asystole. The primary outcome was survival to hospital discharge. We developed a prediction score, employing logistic regression analysis and internally validating it with 1000 bootstrap samples. The performance of the score in predicting a favorable neurological outcome at discharge was also evaluated.

RESULTS

Among 648 eligible patients, 86 (13.3%) survived to hospital discharge. The median age was 60.5 years, 75.9% (492) were male, and 74.4% (482) had pulseless electrical activity as the initial rhythm. Three clinical predictors for the START-ECPR Score (Signs of Life, Transient ROSC, Not Asystole Rhythm to ECPR Score) were identified: shockable rhythm or pulseless electrical activity at hospital arrival, transient return of spontaneous circulation before hospital arrival, and signs of life at hospital arrival. Survival rates were 4.4% (7/159) for a score of 0, 10.7% (38/356) for a score of 1, and 30.8% (39/130) for scores of 2 to -3. The bias-corrected C-index for the score was 0.696. For predicting favorable neurologic outcomes at discharge, the C-index was 0.761.

CONCLUSIONS

We developed a straightforward 3-factor prediction score for predicting survival to hospital discharge and favorable neurologic outcomes in patients with out-of-hospital cardiac arrest with initial nonshockable rhythms receiving ECPR.

摘要

背景

对于院外心脏骤停患者,选择合适的体外心肺复苏(ECPR)对象仍然具有挑战性,尤其是对于那些初始心律不可电击复律的患者。我们的目的是开发一种预测评分,以识别初始心律不可电击复律的患者中适合进行ECPR的候选者。

方法

数据来源于SAVE-J II(日本体外循环心室颤动高级生命支持研究II)研究,这是一项在日本进行的回顾性多中心观察性研究。纳入的是院外心脏骤停且初始为无脉电活动或心搏停止并接受ECPR的成年患者。主要结局是存活至出院。我们开发了一种预测评分,采用逻辑回归分析并用1000次自抽样进行内部验证。还评估了该评分在预测出院时良好神经功能结局方面的表现。

结果

在648例符合条件的患者中,86例(13.3%)存活至出院。中位年龄为60.5岁,75.9%(492例)为男性,74.4%(482例)初始心律为无脉电活动。确定了START-ECPR评分的三个临床预测因素(生命体征、短暂自主循环恢复、非心搏停止心律至ECPR评分):到达医院时可电击复律心律或无脉电活动、到达医院前短暂恢复自主循环、到达医院时的生命体征。评分为0时生存率为4.4%(7/159),评分为1时为10.7%(38/356),评分为2至3时为30.8%(39/130)。该评分的偏差校正C指数为0.696。对于预测出院时良好的神经功能结局,C指数为0.761。

结论

我们开发了一种简单的三因素预测评分,用于预测初始心律不可电击复律且接受ECPR的院外心脏骤停患者存活至出院及良好神经功能结局的情况。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验