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美国院外心脏骤停患者接受体外心肺复苏的适宜性:一种地理信息系统模型

Eligibility of out-of-hospital cardiac arrest patients for extracorporeal cardiopulmonary resuscitation in the United States: A geographic information system model.

作者信息

Gottula Adam L, Shaw Christopher R, Gorder Kari L, Lane Bennett H, Latessa Jennifer, Qi Man, Koshoffer Amy, Al-Araji Rabab, Young Wesley, Bonomo Jordan, Langabeer James R, Yannopoulos Demetris, Henry Timothy D, Hsu Cindy H, Benoit Justin L

机构信息

Department of Emergency Medicine, University of Michigan, United States; Department of Anesthesiology, University of Michigan, United States; Max Harry Weil Institute for Critical Care Research and Innovation, United States.

Department of Medicine Division of Pulmonary and Critical Care, Oregon Health and Science University, United States.

出版信息

Resuscitation. 2022 Nov;180:111-120. doi: 10.1016/j.resuscitation.2022.09.017. Epub 2022 Sep 29.

Abstract

BACKGROUND

Recent evidence suggest that extracorporeal cardiopulmonary resuscitation (ECPR) may improve survival rates for nontraumatic out-of-hospital cardiac arrest (OHCA). Eligibility criteria for ECPR are often based on patient age, clinical variables, and facility capabilities. Expanding access to ECPR across the U.S. requires a better understanding of how these factors interact with transport time to ECPR centers.

METHODS

We constructed a Geographic Information System (GIS) model to estimate the number of ECPR candidates in the U.S. We utilized a Resuscitation Outcome Consortium (ROC) database to model time-dependent rates of ECPR eligibility and the Cardiac Arrest Registry to Enhance Survival (CARES) registry to determine the total number of OHCA patients who meet pre-specified ECPR criteria within designated transportation times. The combined model was used to estimate the total number of ECPR candidates.

RESULTS

There were 588,203 OHCA patients in the CARES registry from 2013 to 2020. After applying clinical eligibility criteria, 22,104 (3.76%) OHCA patients were deemed eligible for ECPR. The rate of ROSC increased with longer resuscitation time, which resulted in fewer ECPR candidates. The proportion of OHCA patients eligible for ECPR increased with older age cutoffs. Only 1.68% (9,889/588,203) of OHCA patients in the U.S. were eligible for ECPR based on a 45-minute transportation time to an ECMO-ready center model.

CONCLUSIONS

Less than 2% of OHCA patients are eligible for ECPR in the U.S. GIS models can identify the impact of clinical criteria, transportation time, and hospital capabilities on ECPR eligibility to inform future implementation strategies.

摘要

背景

最近的证据表明,体外心肺复苏(ECPR)可能会提高非创伤性院外心脏骤停(OHCA)的生存率。ECPR的资格标准通常基于患者年龄、临床变量和机构能力。在美国扩大ECPR的可及性需要更好地了解这些因素如何与转运至ECPR中心的时间相互作用。

方法

我们构建了一个地理信息系统(GIS)模型来估计美国ECPR候选者的数量。我们利用复苏结果联盟(ROC)数据库来模拟ECPR资格的时间依赖性发生率,并利用心脏骤停登记以提高生存率(CARES)登记来确定在指定转运时间内符合预先设定的ECPR标准的OHCA患者总数。联合模型用于估计ECPR候选者的总数。

结果

2013年至2020年CARES登记中有588,203例OHCA患者。应用临床资格标准后,22,104例(3.76%)OHCA患者被认为符合ECPR资格。自主循环恢复(ROSC)率随着复苏时间延长而增加,这导致符合ECPR的候选者减少。符合ECPR资格的OHCA患者比例随着年龄界限提高而增加。根据转运至具备体外膜肺氧合(ECMO)条件中心的45分钟模型,美国只有1.68%(9,889/588,203)的OHCA患者符合ECPR资格。

结论

在美国,不到2%的OHCA患者符合ECPR资格。GIS模型可以识别临床标准、转运时间和医院能力对ECPR资格的影响,以为未来的实施策略提供信息。

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