Evidence map›Paper›PMID 39163042›Full record

ArticleJAMA network open2024

Naloxone and Patient Outcomes in Out-of-Hospital Cardiac Arrests in California.

David G Dillon, Juan Carlos C Montoy, Daniel K Nishijima, Sara Niederberger, James J Menegazzi, Jeremy Lacocque, Robert M Rodriguez, Ralph C Wang

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Guideline
  2. Pooled it
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  7. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

David G DillonDepartment of Emergency Medicine, University of California, Davis.
Juan Carlos C MontoyDepartment of Emergency Medicine, University of California, San Francisco.
Daniel K NishijimaDepartment of Emergency Medicine, University of California, Davis.
Sara NiederbergerDepartment of Emergency Medicine, University of Pittsburgh, Pennsylvania.
James J MenegazziDepartment of Emergency Medicine, University of Pittsburgh, Pennsylvania.
Jeremy LacocqueDepartment of Emergency Medicine, University of California, San Francisco.
Robert M RodriguezDepartment of Emergency Medicine, University of California, San Francisco.
Ralph C WangDepartment of Emergency Medicine, University of California, San Francisco.

Funding

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
NHLBI NIH HHS K38 HL165363
6 · The paper itself

Abstract

Importance: The incidence of opioid-associated out-of-hospital cardiac arrest (OA-OHCA) has grown from less than 1% of OHCA in 2000 to between 7% and 14% of OHCA in recent years; American Heart Association (AHA) protocols suggest that emergency medical service (EMS) clinicians consider naloxone in OA-OHCA. However, it is unknown whether naloxone improves survival in these patients or in patients with undifferentiated OHCA. Objective: To evaluate the association of naloxone with clinical outcomes in patients with undifferentiated OHCA. Design, Setting, and Participants: Retrospective cohort study of EMS-treated patients aged 18 or older who received EMS treatment for nontraumatic OHCA in 3 Northern California counties between 2015 and 2023. Data were analyzed using propensity score-based models from February to April 2024. Exposure: EMS administration of naloxone. Main Outcomes and Measures: The primary outcome was survival to hospital discharge; the secondary outcome was sustained return of spontaneous circulation (ROSC). Covariates included patient and cardiac arrest characteristics (eg, age, sex, nonshockable rhythm, any comorbidity, unwitnessed arrest, and EMS agency) and EMS clinician determination of OHCA cause as presumed drug-related. Results: Among 8195 patients (median [IQR] age, 65 [51-78] years; 5540 male [67.6%]; 1304 Asian, Native Hawaiian, or Pacific Islander [15.9%]; 1119 Black [13.7%]; 2538 White [31.0%]) with OHCA treated by 5 EMS agencies from 2015 to 2023, 715 (8.7%) were believed by treating clinicians to have drug-related OHCA. Naloxone was administered to 1165 patients (14.2%) and was associated with increased ROSC using both nearest neighbor propensity matching (absolute risk difference [ARD], 15.2%; 95% CI, 9.9%-20.6%) and inverse propensity-weighted regression adjustment (ARD, 11.8%; 95% CI, 7.3%-16.4%). Naloxone was also associated with increased survival to hospital discharge using both nearest neighbor propensity matching (ARD, 6.2%; 95% CI, 2.3%-10.0%) and inverse propensity-weighted regression adjustment (ARD, 3.9%; 95% CI, 1.1%-6.7%). The number needed to treat with naloxone was 9 for ROSC and 26 for survival to hospital discharge. In a regression model that assessed effect modification between naloxone and presumed drug-related OHCA, naloxone was associated with improved survival to hospital discharge in both the presumed drug-related OHCA (odds ratio [OR], 2.48; 95% CI, 1.34-4.58) and non-drug-related OHCA groups (OR, 1.35; 95% CI, 1.04-1.77). Conclusions and Relevance: In this retrospective cohort study, naloxone administration as part of EMS management of OHCA was associated with increased rates of ROSC and increased survival to hospital discharge when evaluated using propensity score-based models. Given the lack of clinical practice data on the efficacy of naloxone in OA-OHCA and OHCA in general, these findings support further evaluation of naloxone as part of cardiac arrest care.

Indexed as

Emergency Medical ServicesNaloxoneNarcotic AntagonistsOut-of-Hospital Cardiac ArrestAdultAgedCaliforniaCardiopulmonary ResuscitationFemaleHumansMaleMiddle AgedRetrospective StudiesTreatment OutcomeNaloxoneNarcotic Antagonists

Identifiers

PMID39163042
PMCPMC11337064

What OpenQuestion holds

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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.