Evidence map›Paper›PMID 40161053›Full record

ArticleCureus2025

Validation of the Termination of Resuscitation Rules in Detroit.

Arqam Husain, Adam Chalek, Kaab Husain, Ryan J Reece, Robert B Dunne

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In one paragraph

Article in Cureus, 2025. 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Arqam HusainEmergency Medicine, Henry Ford Health System, Detroit, USA.
Adam ChalekEmergency Medicine, Wayne State University School of Medicine, Detroit, USA.
Kaab HusainEmergency Medicine, Wayne State University School of Medicine, Detroit, USA.
Ryan J ReeceEmergency Medicine, University of Michigan, Flint, USA.
Robert B DunneEmergency Medicine, Wayne State University School of Medicine, Detroit, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objective The termination of resuscitation (TOR) criteria - which recommends termination when a non-traumatic arrest in an adult is unwitnessed by emergency medical services (EMS), no shocks are administered, and no return of spontaneous circulation (ROSC) occurs - guide physicians in determining the viability of continuing cardiopulmonary resuscitation (CPR) and transporting patients to the hospital. We examined the level of compliance with the current basic life support (BLS) TOR rule and assessed alternative sets of rules to retrospectively derive improved TOR guidelines for out-of-hospital cardiac arrests (OHCA) in Detroit. Methods This was a retrospective study involving non-traumatic OHCA cases in Detroit from January 1, 2017, to December 31, 2019, which spans the time frame before and after the BLS TOR rule was officially implemented (June 1, 2018). Data were extracted from the Detroit Cardiac Arrest Registry (DCAR). Patients younger than 18 years of age, those with arrests of traumatic origin, or those with no resuscitation attempted were excluded. Results A total of 1,306 individuals were included in our analysis: 656 OHCA cases before the implementation of the BLS TOR rule in Detroit and 650 OHCA after the implementation. BLS TOR criteria were applied to the pre-TOR implementation data with a resulting specificity of 79% (95% CI: 50.7-80.8) and positive predictive value (PPV) of 97.3% (95% CI: 95.5-98.6). Survival to hospital discharge when termination was recommended was projected at 2.9% (13/444). The overall transportation rate was 85% (559/656). Post-TOR implementation, specificity was 88.9% (95% CI: 78.6-99.1) and PPV was 99.1% (95% CI: 98.3-99.9). Survival to hospital discharge was 0.88% (4/453) with a 69% (451/650) overall transportation rate. Post-hoc addition of age or EMS time to the patient side increased transportation rates to 81% (529/650) and 88% (571/650), respectively, and decreased false positive terminations to 0.84% (2/237) and 0% (0/148), respectively. Conclusions Overall survival and futile transportation rates decreased when TOR was applied since the implementation of the BLS TOR rule in Detroit. The addition of EMS time to the patient side or patient age to current TOR guidelines suggested improved performance. Although the additional criteria resulted in higher transportation rates, these factors may be useful for physicians to consider when deciding to transport patients. However, further derivation and validation are needed to create optimal TOR guidelines.

Indexed as

basic life supportcardiac arrestemergency medical servicesout-of-hospital cardiac arresttermination of resuscitation

Identifiers

PMID40161053
PMCPMC11955231

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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.