Evidence map›Paper›PMID 38734737›Full record

ArticleScientific reports2024

Exploratory factor analysis yields grouping of brain injury biomarkers significantly associated with outcomes in neonatal and pediatric ECMO.

Victoria Huang, Jennifer Roem, Derek K Ng, Jamie McElrath Schwartz, Allen D Everett, Nikhil Padmanabhan, Daniel Romero, Jessica Joe, Christopher Campbell, George B Sigal and 2 more

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 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.

  1. Article
  2. Review
  3. Article
  4. Plasma brain-related biomarkers and potential therapeutic targets in pediatric ECMO.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025
    Review
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

12 authors.

Victoria HuangDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, 1800 Orleans Street, Bloomberg Suite 6321, Baltimore, MD, 21287, USA.
Jennifer RoemDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Derek K NgDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Jamie McElrath SchwartzDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, 1800 Orleans Street, Bloomberg Suite 6321, Baltimore, MD, 21287, USA.
Allen D EverettDepartment of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Nikhil PadmanabhanMeso Scale Discovery, Rockville, MD, USA.
Daniel RomeroMeso Scale Discovery, Rockville, MD, USA.
Jessica JoeMeso Scale Discovery, Rockville, MD, USA.
Christopher CampbellMeso Scale Discovery, Rockville, MD, USA.
George B SigalMeso Scale Discovery, Rockville, MD, USA.
Jacob N WohlstadterMeso Scale Discovery, Rockville, MD, USA.
Melania M BembeaDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, 1800 Orleans Street, Bloomberg Suite 6321, Baltimore, MD, 21287, USA. mbembea1@jhmi.edu.

Funding

Novel methods for brain injury detection and outcome prediction in pediatric ECMOK23NS076674 · NINDS · JOHNS HOPKINS UNIVERSITY · PI BEMBEA, MELANIA MARIA · 2013 to 2015
$569k
Leveraging biomarkers of traumatic brain injury in adults to assess pediatric neurocritical illnessR21HD096389 · NICHD · JOHNS HOPKINS UNIVERSITY · PI BEMBEA, MELANIA MARIA · 2018 to 2019
$421k
NICHD NIH HHS R21 HD096389NINDS NIH HHS K23 NS076674NINDS NIH HHS K23NS076674
6 · The paper itself

Abstract

In this two-center prospective cohort study of children on ECMO, we assessed a panel of plasma brain injury biomarkers using exploratory factor analysis (EFA) to evaluate their interplay and association with outcomes. Biomarker concentrations were measured daily for the first 3 days of ECMO support in 95 participants. Unfavorable composite outcome was defined as in-hospital mortality or discharge Pediatric Cerebral Performance Category > 2 with decline ≥ 1 point from baseline. EFA grouped 11 biomarkers into three factors. Factor 1 comprised markers of cellular brain injury (NSE, BDNF, GFAP, S100β, MCP1, VILIP-1, neurogranin); Factor 2 comprised markers related to vascular processes (vWF, PDGFRβ, NPTX1); and Factor 3 comprised the BDNF/MMP-9 cellular pathway. Multivariable logistic models demonstrated that higher Factor 1 and 2 scores were associated with higher odds of unfavorable outcome (adjusted OR 2.88 [1.61, 5.66] and 1.89 [1.12, 3.43], respectively). Conversely, higher Factor 3 scores were associated with lower odds of unfavorable outcome (adjusted OR 0.54 [0.31, 0.88]), which is biologically plausible given the role of BDNF in neuroplasticity. Application of EFA on plasma brain injury biomarkers in children on ECMO yielded grouping of biomarkers into three factors that were significantly associated with unfavorable outcome, suggesting future potential as prognostic instruments.

Indexed as

BiomarkersBrain InjuriesExtracorporeal Membrane OxygenationChildChild, PreschoolFactor Analysis, StatisticalFemaleHospital MortalityHumansInfantInfant, NewbornMaleProspective StudiesTreatment OutcomeBiomarkersBiomarkersBrain injuryChildExtracorporeal membrane oxygenationNeurologic outcome

Identifiers

PMID38734737
PMCPMC11088671

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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.