• Resuscitation · Jul 2023

    Prevalence and Geographic Features of Patients Eligible for Extracorporeal Cardiopulmonary Resuscitation.

    • Colin McCloskey, Jason Zeller, Andrew Berk, Nirav Patil, Jayakrishnan Ajayakumar, Andrew Curtis, and Jacqueline Curtis.
    • University Hospitals-Cleveland Medical Center, Department of Emergency Medicine, 11100 Euclid Avenue, Cleveland, OH 44106, United States. Electronic address: McCloskey@UHhospitals.org.
    • Resuscitation. 2023 Jul 1; 188: 109837109837.

    ObjectiveThis study sought to identify Out of Hospital Cardiac Arrests (OHCA) eligible for Extracorporeal Cardiopulmonary Resuscitation (ECPR), use Geographic Information Systems (GIS) to investigate geographic patterns, and investigate if correlation between ECPR candidacy and Social Determinants of Health (SDoH) exist.MethodsThis study is of emergency medical service (EMS) runs for OHCA to an urban medical center from January 1, 2016 to December 31, 2020. All runs were filtered to inclusion criteria for ECPR: age 18-65, initial shockable rhythm, and no return of spontaneous circulation within initial defibrillations. Address level data were mapped in a GIS. Cluster detection assessed for granular areas of high concentration. The Center for Disease Control and Prevention (CDC) Social Vulnerability Index (SVI) was overlaid. The SVI ranges from 0-1 with higher values indicating increasing social vulnerability.ResultsThere were 670 EMS transports for OHCA during the study period. 12.7% (85/670) met inclusion criteria for ECPR. 90% (77/85) had appropriate addresses for geocoding. Three geographic clusters of events were detected. Two were residential areas and one was concentrated over a public use area of downtown Cleveland. The SVI for these locations was 0.79, indicative of high social vulnerability. Nearly half (32/77, 41.5%) occurred in neighborhoods with the highest level of social vulnerability (SVI ≥ 0.9).ConclusionA significant proportion of OHCAs were eligible for ECPR based on prehospital criteria. Utilizing GIS to map and analyze ECPR patients provided insights into the locations of these events and the SDoH that may be driving risk in these places.Copyright © 2023 Elsevier B.V. All rights reserved.

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