Scoring Systems to Predict Survival or Neurological Recovery after Out-of-hospital Cardiac Arrest.

IF 3.2 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS European Cardiology Review Pub Date : 2022-02-01 DOI:10.15420/ecr.2022.05
Rishi Naik, Indrajeet Mandal, Diana A Gorog
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引用次数: 1

Abstract

Numerous prediction scores have been developed to better inform clinical decision-making following out-of-hospital cardiac arrest (OHCA), however, there is no consensus among clinicians over which score to use. The aim of this review was to identify and compare scoring systems to predict survival and neurological recovery in patients with OHCA. A structured literature search of the MEDLINE database was carried out from inception to December 2021. Studies developing or validating scoring systems to predict outcome following OHCA were selected. Relevant data were extracted and synthesised for narrative review. In total, 16 scoring systems were identified: one predicting the probability of return of spontaneous circulation, six predicting survival to hospital discharge and nine predicting neurological outcome. NULL-PLEASE and CAST are recommended as the best scores to predict mortality and neurological outcome, respectively, due to the extent of external validation, ease of use and high predictive value of the variables. Whether use of these scores can lead to more cost-effective service delivery remains unclear.

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预测院外心脏骤停后生存或神经恢复的评分系统。
为了更好地为院外心脏骤停(OHCA)后的临床决策提供信息,已经开发了许多预测评分,然而,临床医生对使用哪种评分没有达成共识。本综述的目的是确定和比较评分系统,以预测OHCA患者的生存和神经恢复。从建立到2021年12月对MEDLINE数据库进行结构化文献检索。研究开发或验证评分系统,以预测OHCA后的结果。提取相关数据并进行综合整理,进行叙述性综述。总共确定了16个评分系统:一个预测自然循环恢复的概率,六个预测出院生存,九个预测神经系统预后。由于变量的外部验证程度、易用性和高预测价值,NULL-PLEASE和CAST分别被推荐为预测死亡率和神经预后的最佳分数。使用这些评分是否能带来更具成本效益的服务还不清楚。
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来源期刊
European Cardiology Review
European Cardiology Review CARDIAC & CARDIOVASCULAR SYSTEMS-
CiteScore
5.40
自引率
0.00%
发文量
23
审稿时长
12 weeks
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