Evidence map›Paper›PMID 39864792›Full record

ArticleResuscitation2025

Implications of an individualized resuscitation strategy using continuous rhythm and physiologic status assessment during ongoing CPR.

Heemun Kwok, Jason Coult, Jennifer Blackwood, Julia A King, Peter Kudenchuk, Thomas Rea

Abstract read
In one paragraph

Article in Resuscitation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Observational
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

6 authors.

Heemun KwokDepartment of Emergency Medicine, University of Washington Seattle WA United States. Electronic address: heemun@uw.edu.
Jason CoultDepartment of Medicine, University of Washington Seattle WA United States.
Jennifer BlackwoodKing County Emergency Medical Services Seattle-King County Department of Public Health Seattle WA United States.
Julia A KingDepartment of Medicine, University of Washington Seattle WA United States.
Peter KudenchukKing County Emergency Medical Services Seattle-King County Department of Public Health Seattle WA United States; Department of Medicine, Division of Cardiology, University of Washington Seattle WA United States.
Thomas ReaDepartment of Medicine, University of Washington Seattle WA United States; King County Emergency Medical Services Seattle-King County Department of Public Health Seattle WA United States.

Funding

Transforming Resuscitation through Artificial INtelligence (TRAIN Study)R01HL169323 · NHLBI · UNIVERSITY OF WASHINGTON · PI THOMAS D REA · 2023 to 2026
$2.7M
Artificial Intelligence to Improve Resuscitation following Out-of-Hospital Cardiac ArrestK01HL171797 · NHLBI · UNIVERSITY OF WASHINGTON · PI Jason Coult · 2024 to 2026
$490k
NHLBI NIH HHS K01 HL171797NHLBI NIH HHS R01 HL169323
6 · The paper itself

Abstract

backgroundPrior studies have proposed defibrillator biosignal algorithms which characterize cardiac arrest rhythm and physiologic status. We evaluated whether a novel, individualized resuscitation strategy that integrates multiple ECG and impedance-based algorithms could reduce CPR interruptions and better align rescuer actions with patient-specific physiology.

methodsIn a retrospective cohort of ventricular fibrillation out-of-hospital cardiac arrests, observed rescuer actions (rhythm analysis, shock delivery, pulse checks, and drug therapy) were compared to hypothetical actions recommended by the proposed individualized strategy. Misdirected drug therapy was defined as either (1) epinephrine when the algorithm predicted a spontaneous pulse or (2) antiarrhythmic during predicted bradyasystole. Clinically avoidable actions included delivering a shock without restoring return of spontaneous circulation (ROSC) and interrupting CPR for pulse assessment when no spontaneous pulse was present.

resultsOf 390 cases, 46% survived to hospital discharge. The individualized treatment strategy achieved comparable shock decision accuracy (95% sensitivity, 98% specificity) to observed care while decreasing median CPR interruption for shock from 12 to 6 s. The individualized strategy also identified 17% of 597 epinephrine and 9% of 248 antiarrhythmic administrations as misdirected. Following 1334 ventricular fibrillation shocks, the frequency of post-shock ROSC was 4% when its predicted probability was low versus 22% when not. During 1088 pulse checks, pulse was present in 5% when predicted probability of spontaneous pulse was low versus 35% when not.

conclusionsAn individualized resuscitation strategy could improve CPR interruption, medication administration, shock delivery, and pulse assessment. Prospective evaluation is required to assess clinical benefit.

Indexed as

Cardiopulmonary ResuscitationElectric CountershockOut-of-Hospital Cardiac ArrestVentricular FibrillationAgedAlgorithmsAnti-Arrhythmia AgentsElectrocardiographyEpinephrineFemaleHumansMaleMiddle AgedRetrospective StudiesAnti-Arrhythmia AgentsEpinephrineCardiac arrestCardiac rhythmResuscitationVentricular fibrillation

Identifiers

PMID39864792
PMCPMC11993339

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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.