Evidence map›Paper›PMID 32862782›Full record

ArticlePerfusion2021

External validation of the Pediatric Extracorporeal Membrane Oxygenation Prediction model for risk adjusting mortality.

David K Bailly, Jamie M Furlong-Dillard, Melissa Winder, Mark Lavering, Ryan P Barbaro, Kathleen L Meert, Susan L Bratton, Heidi Dalton, Ron W Reeder

Abstract readMulticenter Study
In one paragraph

Article in Perfusion, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

2 citing papers in PubMed.

  1. Article
  2. Article
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

9 authors.

David K BaillyDivision of Pediatric Critical Care, Department of Pediatrics, University of Utah, Salt Lake City, UT, USA.
Jamie M Furlong-DillardDepartment of Pediatric Critical Care, Norton Children's Hospital/University of Louisville, Louisville, KY, USA.
Melissa WinderDepartment of Pediatric Critical Care, Primary Children's Hospital, Salt Lake City, UT, USA.ORCID https://orcid.org/0000-0002-4356-2957
Mark LaveringUniversity of Utah, Salt Lake City, UT, USA.
Ryan P BarbaroDepartment of Pediatrics and Communicable Diseases, University of Michigan, Ann Arbor, MI, USA.
Kathleen L MeertDepartment of Pediatrics, Children's Hospital of Michigan, Detroit, MI, USA.ORCID https://orcid.org/0000-0002-4903-3503
Susan L BrattonDivision of Pediatric Critical Care, Department of Pediatrics, University of Utah, Salt Lake City, UT, USA.
Heidi DaltonDepartment of Pediatrics, Inova Fairfax Hospital, Fall Church, VA, USA.
Ron W ReederDivision of Pediatric Critical Care, Department of Pediatrics, University of Utah, Salt Lake City, UT, USA.

Funding

Utah Center for Clinical and Translational ScienceUL1TR002538 · NCATS · UNIVERSITY OF UTAH · PI HESS, RACHEL, MAJERSIK, JENNIFER JUHL · 2018 to 2022
$26.0M
Training to Advance Care Through Implementation Science in Cardiac And Lung Illnesses (TACTICAL)K12HL138039 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BARNES, GEOFFREY DOUGLAS, PRESCOTT, HALLIE CHRISTINE · 2017 to 2021
$3.1M
Collaborative Pediatric Critical Care Research NetworkUG1HD050096 · NICHD · WAYNE STATE UNIVERSITY · PI MEERT, KATHLEEN L. · 2015 to 2020
$1.6M
Collaborative Pediatric Critical Care Research Network - Clinical SiteRL1HD107773 · NICHD · CENTRAL MICHIGAN UNIVERSITY · PI KATHLEEN L. MEERT · 2021 to 2026
$862k
NCATS NIH HHS UL1 TR002538NHLBI NIH HHS K12 HL138039NICHD NIH HHS RL1 HD107773NICHD NIH HHS UG1 HD050096
6 · The paper itself

Abstract

introductionThe Pediatric Extracorporeal Membrane Oxygenation Prediction (PEP) model was created to provide risk stratification for all pediatric patients requiring extracorporeal life support (ECLS). Our purpose was to externally validate the model using contemporaneous cases submitted to the Extracorporeal Life Support Organization (ELSO) registry.

methodsThis multicenter, retrospective analysis included pediatric patients (<19 years) during their initial ECLS run for all indications between January 2012 and September 2014. Median values from the BATE dataset for activated partial thromboplastin time and internationalized normalized ratio were used as surrogates as these were missing in the ELSO group. Model discrimination was evaluated using area under the receiver operating characteristic curve (AUC), and goodness-of-fit was evaluated using the Hosmer-Lemeshow test.

resultsA total of 4,342 patients in the ELSO registry were compared to 514 subjects from the bleeding and thrombosis on extracorporeal membrane oxygenation (BATE) dataset used to develop the PEP model. Overall mortality was similar (42% ELSO vs. 45% BATE). The c-statistic after external validation decreased from 0.75 to 0.64 and model calibration decreases most in the highest risk deciles.

conclusionDiscrimination of the PEP model remains modest after external validation using the largest pediatric ECLS cohort. While the model overestimates mortality for the highest risk patients, it remains the only prediction model applicable to both neonates and pediatric patients who require ECLS for any indication and thus maintains potential for application in research and quality benchmarking.

Indexed as

Extracorporeal Membrane OxygenationChildCohort StudiesHospital MortalityHumansInfant, NewbornRegistriesRetrospective Studiescalibrationdecision supportdiscriminationextracorporeal membrane oxygenationpediatricpredictive score modelrisk adjustmentrisk assessmentvalidation

Identifiers

PMID32862782
PMCPMC7956121

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Registered trials

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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.