Evidence map›Paper›PMID 35562094›Full record

ArticleResuscitation2022

Bedside monitoring of hypoxic ischemic brain injury using low-field, portable brain magnetic resonance imaging after cardiac arrest.

Rachel Beekman, Anna Crawford, Mercy H Mazurek, Anjali M Prabhat, Isha R Chavva, Nethra Parasuram, Noah Kim, Jennifer A Kim, Nils Petersen, Adam de Havenon and 10 more

Open access · greenAbstract read
In one paragraph

Article in Resuscitation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
11.8field-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

33 citing papers in PubMed, 50 citations in OpenAlex.

  1. Trial
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  7. Portable Bedside Low-Field MRI for Assessment of Ventricular Size.AJNR. American journal of neuroradiology · 2025
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  10. Observational
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 3 institutions in 1 country.

Rachel BeekmanDepartment of Neurology, Yale School of Medicine, New Haven, CT, USA. Electronic address: Rachel.Beekman@yale.edu.
Anna CrawfordDepartment of Neurology, Yale School of Medicine, New Haven, CT, USA.
Mercy H MazurekDepartment of Neurology, Yale School of Medicine, New Haven, CT, USA.
Anjali M PrabhatDepartment of Neurology, Yale School of Medicine, New Haven, CT, USA.
Isha R ChavvaDepartment of Neurology, Yale School of Medicine, New Haven, CT, USA.
Nethra ParasuramDepartment of Neurology, Yale School of Medicine, New Haven, CT, USA.
Noah KimDepartment of Neurology, Yale School of Medicine, New Haven, CT, USA.
Jennifer A KimDepartment of Neurology, Yale School of Medicine, New Haven, CT, USA.
Nils PetersenDepartment of Neurology, Yale School of Medicine, New Haven, CT, USA.
Adam de HavenonDepartment of Neurology, Yale School of Medicine, New Haven, CT, USA.
Akhil KhoslaDepartment of Pulmonary Critical Care, Yale School of Medicine, New Haven, CT, USA.
Shyoko HonidenDepartment of Pulmonary Critical Care, Yale School of Medicine, New Haven, CT, USA.
P Elliott MillerSection of Cardiology, Yale School of Medicine, New Haven, CT, USA.
Charles WiraDepartment of Emergency Medicine, Yale School of Medicine, New Haven, CT, USA.
James DaleyDepartment of Emergency Medicine, Yale School of Medicine, New Haven, CT, USA.
Seyedmehdi PayabvashDepartment of Radiology, Yale School of Medicine, New Haven, CT, USA.
David M GreerDepartment of Neurology, Boston University Medical Center, Boston, MA, USA.
Emily J GilmoreDepartment of Neurology, Yale School of Medicine, New Haven, CT, USA.
W Taylor KimberlyDepartment of Neurology, Massachusetts General Hospital, Boston, MA, USA.
Kevin N ShethDepartment of Neurology, Yale School of Medicine, New Haven, CT, USA.
Yale University · USMassachusetts General Hospital · USUniversity Medical Center · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Anticoagulation in ICH Survivors for Prevention and Recovery (ASPIRE)U01NS106513 · NINDS · YALE UNIVERSITY · PI Hooman Kamel, Kevin Navin Sheth · 2019 to 2026
$20.6M
Institutional Career Development CoreKL2TR001862 · NCATS · YALE UNIVERSITY · PI CANTLEY, LLOYD G, EDELMAN, E. JENNIFER · 2016 to 2025
$12.2M
Portable, Low Field Brain Magnetic Resonance Imaging (MRI) for Acute StrokeR01EB031114 · NIBIB · YALE UNIVERSITY · PI William Taylor Kimberly, Matthew Scot Rosen · 2022 to 2026
$3.5M
Precision blood pressure management after endovascular stroke therapy based on real-time autoregulation measurementsK23NS110980 · NINDS · YALE UNIVERSITY · PI PETERSEN, NILS H. · 2020 to 2024
$951k
NCATS NIH HHS KL2 TR001862NCATS NIH HHS UL1 TR001863NIBIB NIH HHS R01 EB031114NINDS NIH HHS K23 NS110980NINDS NIH HHS U01 NS106513
6 · The paper itself

Abstract

backgroundAssessment of brain injury severity is critically important after survival from cardiac arrest (CA). Recent advances in low-field MRI technology have permitted the acquisition of clinically useful bedside brain imaging. Our objective was to deploy a novel approach for evaluating brain injury after CA in critically ill patients at high risk for adverse neurological outcome.

methodsThis retrospective, single center study involved review of all consecutive portable MRIs performed as part of clinical care for CA patients between September 2020 and January 2022. Portable MR images were retrospectively reviewed by a blinded board-certified neuroradiologist (S.P.). Fluid-inversion recovery (FLAIR) signal intensities were measured in select regions of interest.

resultsWe performed 22 low-field MRI examinations in 19 patients resuscitated from CA (68.4% male, mean [standard deviation] age, 51.8 [13.1] years). Twelve patients (63.2%) had findings consistent with HIBI on conventional neuroimaging radiology report. Low-field MRI detected findings consistent with HIBI in all of these patients. Low-field MRI was acquired at a median (interquartile range) of 78 (40-136) hours post-arrest. Quantitatively, we measured FLAIR signal intensity in three regions of interest, which were higher amongst patients with confirmed HIBI. Low-field MRI was completed in all patients without disruption of intensive care unit equipment monitoring and no safety events occurred.

conclusionIn a critically ill CA population in whom MR imaging is often not feasible, low-field MRI can be deployed at the bedside to identify HIBI. Low-field MRI provides an opportunity to evaluate the time-dependent nature of MRI findings in CA survivors.

Indexed as

Brain InjuriesHeart ArrestHypoxia-Ischemia, BrainBrainCritical IllnessFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedRetrospective StudiesCardiac arrestHypoxic-ischemic encephalopathyMRINeuroimaging

Identifiers

PMID35562094
PMCPMC9746653
OpenAlexW4280542441

What OpenQuestion holds

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Read underepoch 390

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.