Evidence map›Paper›PMID 39088816›Full record

ArticlePrehospital emergency care2025

Prehospital Post-Resuscitation Vital Sign Phenotypes are Associated with Outcomes Following Out-of-Hospital Cardiac Arrest.

Tanner Smida, Bradley S Price, Alan Mizener, Remle P Crowe, James M Bardes

Registry-linked trialAbstract read
In one paragraph

Article in Prehospital emergency care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07239908 (Resuscitation Enhancement to Avoid Rearrest Through Evidence-based Strategies in Prehospital Post-resuscitation Care), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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.

NCT07239908 phase2 / phase3recruitingnot on this map

Resuscitation Enhancement to Avoid Rearrest Through Evidence-based Strategies in Prehospital Post-resuscitation Care

TypeinterventionalSponsorSiriraj HospitalRan2025 to 2028Enrolled318ConditionsOut-of-hospital Cardiac Arrest (OHCA)ArmsPrehospital post cardiac arrest care protocol
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Observational
  2. Review
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

5 authors.

Tanner SmidaWest Virginia University School of Medicine, Morgantown, West Virginia.ORCID 0000-0002-5578-1903
Bradley S PriceJohn Chambers School of Business and Economics, Morgantown, West Virginia.
Alan MizenerWest Virginia University School of Medicine, Morgantown, West Virginia.
Remle P CroweESO Solutions, Austin, Texas.ORCID 0000-0001-9733-9294
James M BardesDivision of Prehospital Medicine, Department of Emergency Medicine, West Virginia University School of Medicine, Morgantown, West Virginia.

Funding

West Virginia IDEA-CTRU54GM104942 · NIGMS · WEST VIRGINIA UNIVERSITY · PI JUDITH FEINBERG · 2012 to 2026
$81.0M
Targeting Muscle Fatigability During CachexiaR01AR079445 · NIAMS · WEST VIRGINIA UNIVERSITY · PI Emidio Edward Pistilli · 2022 to 2026
$1.6M
NIAMS NIH HHS R01 AR079445NIGMS NIH HHS U54 GM104942
6 · The paper itself

Abstract

objectivesThe use of machine learning to identify patient 'clusters' using post-return of spontaneous circulation (ROSC) vital signs may facilitate the identification of patient subgroups at high risk of rearrest and mortality. Our objective was to use k-means clustering to identify post-ROSC vital sign clusters and determine whether these clusters were associated with rearrest and mortality.

methodsThe ESO Data Collaborative 2018-2022 datasets were used for this study. We included adult, non-traumatic OHCA patients with >2 post-ROSC vital sign sets. Patients were excluded if they had an EMS-witnessed OHCA or were encountered during an interfacility transfer. Unsupervised (

resultsWithin our cohort of 12,320 patients, five clusters were identified. Patients in cluster 1 were hypertensive, patients in cluster 2 were normotensive, patients in cluster 3 were hypotensive and tachycardic (

conclusionsUnsupervised k-means clustering yielded 5 post-ROSC vital sign clusters that were associated with rearrest and mortality.

Indexed as

Cardiopulmonary ResuscitationEmergency Medical ServicesOut-of-Hospital Cardiac ArrestVital SignsAgedFemaleHumansMachine LearningMaleMiddle AgedPhenotypeReturn of Spontaneous Circulation

Identifiers

PMID39088816
PMCPMC11790374

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Registered trials

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.