Evidence map›Paper›PMID 35033471›Full record

ArticleJACC. Cardiovascular interventions2022

Resuscitation Using ECPR During In-Hospital Cardiac Arrest (RESCUE-IHCA) Mortality Prediction Score and External Validation.

Joseph E Tonna, Craig H Selzman, Saket Girotra, Angela P Presson, Ravi R Thiagarajan, Lance B Becker, Chong Zhang, Peter Rycus, Heather T Keenan, American Heart Association Get With the Guidelines–Resuscitation Investigators

Open access · hybridAbstract read
In one paragraph

Article in JACC. Cardiovascular interventions, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
25.8field-weighted citation impact, top 1% of its field
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

42 citing papers in PubMed, 1 synthesis or guideline pooled it, 104 citations in OpenAlex.

  1. Guideline
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  17. Observational
  18. Age as a Mortality Predictor in ECPR Patients.Medicina (Kaunas, Lithuania) · 2024
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 1 country.

Joseph E TonnaDivision of Cardiothoracic Surgery, Department of Surgery, University of Utah Health, Salt Lake City, Utah, USA; Division of Emergency Medicine, Department of Surgery, University of Utah Health, Salt Lake City, Utah, USA. Electronic address: joseph.tonna@hsc.utah.edu.
Craig H SelzmanDivision of Cardiothoracic Surgery, Department of Surgery, University of Utah Health, Salt Lake City, Utah, USA.
Saket GirotraDivision of Cardiovascular Medicine, Department of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, Iowa, USA.
Angela P PressonDivision of Epidemiology, Department of Medicine, University of Utah Health, Salt Lake City, Utah, USA.
Ravi R ThiagarajanDivision of Cardiac Critical Care, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Lance B BeckerDepartment of Emergency Medicine, North Shore University Hospital, Northwell Health System, Manhasset, New York, USA.
Chong ZhangDivision of Epidemiology, Department of Medicine, University of Utah Health, Salt Lake City, Utah, USA.
Peter RycusExtracorporeal Life Support Organization, Ann Arbor, Michigan, USA.
Heather T KeenanDivision of Pediatric Critical Care, Department of Pediatrics, University of Utah Health, Salt Lake City, Utah, USA.
American Heart Association Get With the Guidelines–Resuscitation Investigators
University of Utah · USBoston Children's Hospital · USNorth Shore University Hospital · USUniversity of Iowa · USUniversity of Utah Health Care · US

Funding

Utah Center for Clinical and Translational ScienceUL1TR002538 · NCATS · UNIVERSITY OF UTAH · PI HESS, RACHEL, MAJERSIK, JENNIFER JUHL · 2018 to 2022
$26.0M
University of Utah Center for Clinical and Translational ScienceUL1TR001067 · NCATS · UNIVERSITY OF UTAH · PI DERE, WILLARD H., HESS, RACHEL · 2013 to 2017
$19.8M
UNIVERSITY OF UTAH CENTER FOR CLINICAL AND TRANSLATIONAL SCIENCE-UL1: BPCAUL1RR025764 · NCRR · UNIVERSITY OF UTAH · PI MCCLAIN, DONALD A. · 2008 to 2011
$19.4M
University of Utah Center for Clinical and Translational Science-UL1UL1TR000105 · NCATS · UNIVERSITY OF UTAH · PI MCCLAIN, DONALD A. · 2012 to 2013
$5.1M
Optimizing Selection and Management of Cardiac Arrest Patients Treated with ECMOK23HL141596 · NHLBI · UNIVERSITY OF UTAH · PI TONNA, JOSEPH EDWARD · 2018 to 2022
$945k
NCATS NIH HHS UL1 TR000105NCATS NIH HHS UL1 TR001067NCATS NIH HHS UL1 TR002538NCRR NIH HHS UL1 RR025764NHLBI NIH HHS K23 HL141596
6 · The paper itself

Abstract

objectivesThe aim of this study was to develop and validate a score to accurately predict the probability of death for adult extracorporeal cardiopulmonary resuscitation (ECPR).

backgroundECPR is being increasingly used to treat refractory in-hospital cardiac arrest (IHCA), but survival varies from 20% to 40%.

methodsAdult patients with extracorporeal membrane oxygenation for IHCA (ECPR) were identified from the American Heart Association GWTG-R (Get With the Guidelines-Resuscitation) registry. A multivariate survival prediction model and score were developed to predict hospital death. Findings were externally validated in a separate cohort of patients from the Extracorporeal Life Support Organization registry who underwent ECPR for IHCA.

resultsA total of 1,075 patients treated with ECPR were included. Twenty-eight percent survived to discharge in both the derivation and validation cohorts. A total of 6 variables were associated with in-hospital death: age, time of day, initial rhythm, history of renal insufficiency, patient type (cardiac vs noncardiac and medical vs surgical), and duration of the cardiac arrest event, which were combined into the RESCUE-IHCA (Resuscitation Using ECPR During IHCA) score. The model had good discrimination (area under the curve: 0.719; 95% CI: 0.680-0.757) and acceptable calibration (Hosmer and Lemeshow goodness of fit P = 0.079). Discrimination was fair in the external validation cohort (area under the curve: 0.676; 95% CI: 0.606-0.746) with good calibration (P = 0.66), demonstrating the model's ability to predict in-hospital death across a wide range of probabilities.

conclusionsThe RESCUE-IHCA score can be used by clinicians in real time to predict in-hospital death among patients with IHCA who are treated with ECPR.

Indexed as

Cardiopulmonary ResuscitationOut-of-Hospital Cardiac ArrestAdultHospital MortalityHospitalsHumansRetrospective StudiesTreatment Outcomeextracorporeal cardiopulmonary resuscitationextracorporeal membrane oxygenationin-hospital cardiac arrestmortality predictionsurvival prediction

Identifiers

PMID35033471
PMCPMC8837656
OpenAlexW4205381897

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.