Evidence map›Paper›PMID 41783544›Full record

ArticleInternational journal of cardiology. Heart & vasculature2026

Strategic automated external defibrillator deployment based on geospatial analysis of historical cardiac arrest locations.

Elizabeth Heckard, Harpriya Chugh, Katy Hadduck, Bryan F McNally, Ali Sovari, Jonathan Jui, Angelo Salvucci, Kyndaron Reinier, Sumeet S Chugh

Abstract read
In one paragraph

Article in International journal of cardiology. Heart & vasculature, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Elizabeth HeckardCenter for Cardiac Arrest Prevention, Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Health System, Los Angeles, CA, United States.
Harpriya ChughCenter for Cardiac Arrest Prevention, Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Health System, Los Angeles, CA, United States.
Katy HadduckVentura County Health Care Agency, Ventura, CA, United States.
Bryan F McNallyEmory University School of Medicine, Rollins School of Public Health, Atlanta, GA, United States.
Ali SovariCabrillo Cardiology Medical Group, Oxnard, CA, United States.
Jonathan JuiSt John's Regional Medical Center, Oxnard CA, United States.
Angelo SalvucciVentura County Health Care Agency, Ventura, CA, United States.
Kyndaron ReinierCenter for Cardiac Arrest Prevention, Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Health System, Los Angeles, CA, United States.
Sumeet S ChughCenter for Cardiac Arrest Prevention, Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Health System, Los Angeles, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: We hypothesized that historical out-of-hospital sudden cardiac arrest (SCA) locations over multiple years can inform deployment of automated external defibrillators (AEDs). Methods: Consecutive SCA events attended by EMS were ascertained prospectively in two identically designed community-based studies: PRESTO (Ventura County, California, population ∼ 850,000; 2015-2023; SCA n = 2,935) and SUDS (Multnomah County, Oregon, population ∼ 800,000; 2012-2020; SCA n = 2,213). Clusters of ≥ 3 historical SCA events within 100-meters were plotted using geospatial analysis (QGIS Desktop 3.23.3). Proposed AED locations were positioned within 200-meters. An existing AED registry in Ventura County (n = 998) was also plotted using geospatial analysis. Distances between SCAs and proposed AEDs were calculated using Euclidean distances. Results: In PRESTO, 97 clusters of ≥ 3 SCAs were identified, amounting to 22% (n = 653) of total SCAs, covered by 90 proposed AEDs. The mean distance between individual SCA events and the nearest AED was 99.7 (SD = 53.1) meters, representing a proposed bystander AED response time of 3.0 (SD = 1.6) minutes. Proposed bystander AED response times were significantly shorter than actual EMS response times [mean difference: 3.1 (95% CI: 2.9-3.4), p < 0.0001]. Similar results were observed in SUDS. Compared to the existing AED registry in Ventura County, 18.9% (n = 17) of our 90 proposed AEDs were within 200 m of an existing AED. Of total SCAs in Ventura County,11.4% (n = 334) were within 200 m of an existing AED. Conclusions: 16-22% of historical SCA events in Ventura and Multnomah Counties could potentially be covered by 78-90 AEDs. Outcomes studies that compare this geospatial approach to current AED location strategies are warranted.

Indexed as

Automated External Defibrillator (AED)Cardiopulmonary Resuscitation (CPR)Emergency Medical Services (EMS)Prediction of Sudden Death in Multi-Ethnic Communities (PRESTO)Sudden Cardiac Arrest (SCA)Sudden Unexpected Death Study (SUDS)VentricularArrhythmia (VA)

Identifiers

PMID41783544
PMCPMC12955144

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.