Evidence map›Paper›PMID 40537722›Full record

ArticleNeurocritical care2026

Ability of a Composite Brain Magnetic Resonance Imaging Score to Predict Neurologic Outcomes in Survivors of Out-Of-Hospital Cardiac Arrest.

Thuhien Nguyen, Nicolas Poilvert, Victor Lin, Hope Opara, Nassim Matin, Arielle P Davis, Breana L Taylor, Catherine R Counts, Penelope Chung Thomas, Monisha Sharma and 3 more

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Article in Neurocritical care, 2026. 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

What it found

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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

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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

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Thuhien NguyenDepartment of Neurology, Harborview Medical Center, University of Washington, Seattle, WA, USA. thuhien.nguyen@dhha.org.ORCID 0000-0002-3814-2923
Nicolas PoilvertGE HealthCare, Seattle, WA, USA.
Victor LinDepartment of Neurology, Harborview Medical Center, University of Washington, Seattle, WA, USA.
Hope OparaDepartment of Neurology, Harborview Medical Center, University of Washington, Seattle, WA, USA.
Nassim MatinDepartment of Neurology, Harborview Medical Center, University of Washington, Seattle, WA, USA.
Arielle P DavisDepartment of Neurology, Harborview Medical Center, University of Washington, Seattle, WA, USA.
Breana L TaylorDepartment of Neurology, Harborview Medical Center, University of Washington, Seattle, WA, USA.
Catherine R CountsSeattle Fire Department, Seattle, WA, USA.
Penelope Chung ThomasDepartment of Radiology, University of Washington, Seattle, WA, USA.
Monisha SharmaDepartment of Global Health, University of Washington, Seattle, WA, USA.
James A TownDivision of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, University of Washington, Seattle, WA, USA.
Sarah Wahlster *Department of Neurology, Harborview Medical Center, University of Washington, Seattle, WA, USA.
Nicholas J Johnson *Department of Emergency Medicine, University of Washington, Seattle, WA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBrain magnetic resonance imaging (MRI) has been investigated as a neuroprognostication (NP) test after out-of-hospital cardiac arrest (OHCA); however, most studies have focused on predicting poor neurologic outcomes or death.

methodsWe examined the ability of a composite brain MRI score ("NP score") to predict neurologic outcomes in an OHCA cohort (2017-2023) who underwent brain MRI within 2-7 days post arrest and survived to hospital discharge. NP scores (range 0-214) were calculated from diffusion weighted imaging and fluid attenuated inversion recovery signals in prespecified neuroanatomical regions. We categorized neurologic outcomes as "independent" (Cerebral Performance Categories [CPC] 1-2), "dependent" (CPC 3), and "vegetative state" (CPC 4). We conducted correlation analyses and used computational modeling for probabilities to identify transition points between the outcome categories.

resultsForty-two OHCA survivors were included (median age 47 years; 74% male, 43% shockable rhythm; 88% underwent targeted temperature management). At hospital discharge, 50% (n = 21) had recovered to independent, 24% (n = 10) were dependent, and 26% (n = 11) remained in a vegetative state. MRIs were obtained at a median of 4 days post arrest, (interquartile range 3-5). NP scores (range 0-136, median 11.5, interquartile range 0-41.5, intraclass correlation coefficient 0.89) strongly correlated with CPC (r

conclusionsQuantitative brain MRI-based scoring may predict neurologic outcomes at discharge among OHCA survivors. External validation in larger prospective multicenter cohorts, assessment of long-term outcomes, and examination of the score in deceased patients are needed to establish the prognostic value and address concerns about generalizability.

Indexed as

Magnetic Resonance ImagingOut-of-Hospital Cardiac ArrestPersistent Vegetative StateAdultDiffusion Magnetic Resonance ImagingFemaleHumansMaleMiddle AgedPrognosisSurvivorsCardiac arrestCerebral Performance CategoryComputational modelingMagnetic resonance imagingNeuroprognosticationPredictive modeling

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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.