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Prehospital Ground and Helicopter-Based Extracorporeal Cardiopulmonary Resuscitation (ECPR) Reduce Barriers to ECPR: A GIS Model.
Gottula, Adam L; Qi, Man; Lane, Bennett H; Shaw, Christopher R; Gorder, Kari; Powell, Elizabeth; Danielson, Kyle; Ciullo, Anna; Johnson, Nicholas J; Tonna, Joseph E; Hinckley, William R; Koshoffer, Amy; Al-Araji, Rabab; Bartos, Jason; Benoit, Justin; Hsu, Cindy H.
Afiliação
  • Gottula AL; Department of Emergency Medicine, University of Michigan, Ann Arbor, Michigan.
  • Qi M; Department of Anesthesiology, University of Michigan, Ann Arbor, Michigan.
  • Lane BH; Max Harry Weil Institute for Critical Care Research and Innovation, Ann Arbor, Michigan.
  • Shaw CR; Department of Geography and Geographic Information System, The University of Cincinnati, Cincinnati, Ohio.
  • Gorder K; Department of Emergency Medicine, University of Cincinnati, Cincinnati, Ohio.
  • Powell E; Department of Emergency Medicine, Division of Critical Care, Oregon Health and Science University, Portland, Oregon.
  • Danielson K; The Carl and Edyth Lindner Center for Research and Education, The Christ Hospital, Cincinnati, Ohio.
  • Ciullo A; Department of Emergency Medicine, The University of Maryland, College Park, Maryland.
  • Johnson NJ; AirLift Northwest, University of Washington, Seattle, Washington.
  • Tonna JE; Department of Emergency Medicine, University of Utah, Salt Lake City, Utah.
  • Hinckley WR; Department of Emergency Medicine & Division of Pulmonary, Critical Care, and Sleep Medicine, University of Washington, Seattle, Washington.
  • Koshoffer A; Department of Emergency Medicine, University of Utah, Salt Lake City, Utah.
  • Al-Araji R; Department of Emergency Medicine, University of Cincinnati, Cincinnati, Ohio.
  • Bartos J; UC Health, Air Care and Mobile Care, Cincinnati, Ohio.
  • Benoit J; University of Cincinnati Libraries, The University of Cincinnati, Cincinnati, Ohio.
  • Hsu CH; The Cardiac Arrest Registry to Enhance Survival, Atlanta, Georgia.
Prehosp Emerg Care ; : 1-9, 2024 May 31.
Article em En | MEDLINE | ID: mdl-38739864
ABSTRACT

INTRODUCTION:

Evidence suggests that Extracorporeal Cardiopulmonary Resuscitation (ECPR) can improve survival rates for nontraumatic out-of-hospital cardiac arrest (OHCA). However, when ECPR is indicated over 50% of potential candidates are unable to qualify in the current hospital-based system due to geographic limitations. This study employs a Geographic Information System (GIS) model to estimate the number of ECPR eligible patients within the United States in the current hospital-based system, a prehospital ECPR ground-based system, and a prehospital ECPR Helicopter Emergency Medical Services (HEMS)-based system.

METHODS:

We constructed a GIS model to estimate ground and helicopter transport times. Time-dependent rates of ECPR eligibility were derived from the Resuscitation Outcome Consortium (ROC) database, while the Cardiac Arrest Registry to Enhance Survival (CARES) registry determined the number of OHCA patients meeting ECPR criteria within designated transportation times. Emergency Medical Services (EMS) response time, ECPR candidacy determination time, and on-scene time were modeled based on data from the EROCA trial. The combined model was used to estimate the total ECPR eligibility in each system.

RESULTS:

The CARES registry recorded 736,066 OHCA patients from 2013 to 2021. After applying clinical criteria, 24,661 (3.4%) ECPR-indicated OHCA were identified. When considering overall ECPR eligibility within 45 min from OHCA to initiation, only 11.76% of OHCA where ECPR was indicated were eligible in the current hospital-based system. The prehospital ECPR HEMS-based system exhibited a four-fold increase in ECPR eligibility (49.3%), while the prehospital ground-based system showed a more than two-fold increase (28.4%).

CONCLUSIONS:

The study demonstrates a two-fold increase in ECPR eligibility for a prehospital ECPR ground-based system and a four-fold increase for a prehospital ECPR HEMS-based system compared to the current hospital-based ECPR system. This novel GIS model can inform future ECPR implementation strategies, optimizing systems of care.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article