Evidence map›Paper›PMID 39299508›Full record

ArticleResuscitation2024

Derivation of a clinical decision rule for termination of resuscitation in non-traumatic pediatric out-of-hospital cardiac arrest.

Pranav Shetty, Yunyi Ren, David Dillon, Alec Mcleod, Daniel Nishijima, Sandra L Taylor, CARES Surveillance Group

Abstract read
In one paragraph

Article in Resuscitation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

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.

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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

7 authors.

Pranav ShettyDepartment of Emergency Medicine, University of California, Davis School of Medicine, 4150 V Street #2100, Sacramento, CA 95817, USA. Electronic address: ppshetty@ucdavis.edu.
Yunyi RenDepartment of Public Health Sciences, University of California, Davis, Medical Sciences 1-C, One Shield's Ave. Davis, CA 95616, USA.
David DillonDepartment of Emergency Medicine, University of California, Davis School of Medicine, 4150 V Street #2100, Sacramento, CA 95817, USA.
Alec McleodUniversity of California, Davis School of Medicine, 4610 X St, Sacramento, CA 95817, USA.
Daniel NishijimaDepartment of Emergency Medicine, University of California, Davis School of Medicine, 4150 V Street #2100, Sacramento, CA 95817, USA.
Sandra L TaylorDepartment of Public Health Sciences, University of California, Davis, Medical Sciences 1-C, One Shield's Ave. Davis, CA 95616, USA.
CARES Surveillance Group

Funding

UC Davis Clinical and Translational Science CenterUL1TR001860 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KENYON, NICHOLAS J., LYLES, COURTNEY REES · 2016 to 2025
$47.3M
Improving the Identification of Opioid-Associated Out-of-Hospital Cardiac ArrestK38HL165363 · NHLBI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI DILLON, DAVID G · 2023 to 2024
$212k
NCATS NIH HHS UL1 TR001860NHLBI NIH HHS K38 HL165363
6 · The paper itself

Abstract

aimPrehospital termination of resuscitation (ToR) rules are used to predict medical futility in adult out-of-hospital cardiac arrest (OHCA), however, the available evidence for pediatric patients is limited. The primary aim of this study is to derive a Pediatric Termination of Resuscitation (PToR) prediction rule for use in pediatric non-traumatic OHCA patients.

methodsWe analyzed a retrospective cohort of pediatric OHCA patients within the CARES database over a 10-year period (2013-2022). We split the dataset into training and test datasets and fit logistic regressions with Least Absolute Shrinkage and Selection Operator (LASSO) to select predictor variables and estimate predictive test characteristics for the primary outcome of death and a secondary composite outcome of death or survival to hospital discharge with unfavorable neurologic status.

resultsWe analyzed a sample of 21,240 children where 2,326 (11.0%) survived to hospital discharge, and 1,894 (8.9%) survived to hospital discharge with favorable neurologic status. We derived a PToR rule for death demonstrating a specificity of 99.1% and a positive predictive value (PPV) of 99.8% and a PToR rule for death or survival with poor neurologic status with a specificity of 99.7% and PPV of 99.9% within the test dataset.

conclusionWe derived a clinical prediction rule with high specificity and positive predictive value in prehospital settings utilizing Advanced Life Support (ALS) providers which may inform termination of resuscitation considerations in pediatric patients. Further prospective and validation studies will be necessary to define the appropriateness and applicability of these PToR criteria for routine use.

Indexed as

Cardiopulmonary ResuscitationClinical Decision RulesOut-of-Hospital Cardiac ArrestAdolescentChildChild, PreschoolEmergency Medical ServicesFemaleHumansInfantMaleMedical FutilityResuscitation OrdersRetrospective StudiesWithholding TreatmentCardiac ArrestCARESEMS ProtocolsPediatric OHCATermination of Resuscitation

Identifiers

PMID39299508
PMCPMC11908408

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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.