Evidence map›Paper›PMID 37188885›Full record

ArticleNeurocritical care2024

CSF-Based Volumetric Imaging Biomarkers Highlight Incidence and Risk Factors for Cerebral Edema After Ischemic Stroke.

Quoc Bui, Atul Kumar, Yasheng Chen, Ali Hamzehloo, Laura Heitsch, Agnieszka Slowik, Daniel Strbian, Jin-Moo Lee, Rajat Dhar

Open access · greenAbstract read
In one paragraph

Article in Neurocritical care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Evaluating the interaction between hemorrhagic transformation and cerebral edema on functional outcome after ischemic stroke.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2024
    Article
  7. 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

9 authors at 3 institutions in 3 countries.

Quoc BuiDepartment of Neurology, Washington University School of Medicine, 660 S Euclid Avenue, Campus Box 8111, St. Louis, MO, USA.
Atul KumarDepartment of Neurology, Washington University School of Medicine, 660 S Euclid Avenue, Campus Box 8111, St. Louis, MO, USA.
Yasheng ChenDepartment of Neurology, Washington University School of Medicine, 660 S Euclid Avenue, Campus Box 8111, St. Louis, MO, USA.
Ali HamzehlooDepartment of Neurology, Washington University School of Medicine, 660 S Euclid Avenue, Campus Box 8111, St. Louis, MO, USA.
Laura HeitschDepartment of Emergency Medicine, Washington University School of Medicine, St. Louis, MO, USA.
Agnieszka SlowikDepartment of Neurology, Jagiellonian University Medical College, Krakow, Poland.
Daniel StrbianDepartment of Neurology, Helsinki University Hospital, Helsinki, Finland.
Jin-Moo LeeDepartment of Neurology, Washington University School of Medicine, 660 S Euclid Avenue, Campus Box 8111, St. Louis, MO, USA.
Rajat DharDepartment of Neurology, Washington University School of Medicine, 660 S Euclid Avenue, Campus Box 8111, St. Louis, MO, USA. dharr@wustl.edu.ORCID 0000-0002-5167-5097
Washington University in St. Louis · USHelsinki University Hospital · FIJagiellonian University · PL

Funding

Genetic Architecture of Acute Human Brain IschemiaR01NS085419 · NINDS · WASHINGTON UNIVERSITY · PI CRUCHAGA, CARLOS, LEE, JIN-MOO · 2014 to 2018
$2.8M
Mid-America Regional Coordinating Center (MARCC)U24NS107230 · NINDS · WASHINGTON UNIVERSITY · PI Andria Lee Ford, Peter David Panagos · 2018 to 2026
$2.8M
Genetic Architecture of Cerebral Edema after StrokeR01NS121218 · NINDS · WASHINGTON UNIVERSITY · PI Rajat Raj Dhar · 2022 to 2026
$1.9M
GENETICS OF EARLY NEUROLOGICAL INSTABILITY AFTER ISCHEMIC STROKE (GENISIS)K23NS099487 · NINDS · WASHINGTON UNIVERSITY · PI HEITSCH, LAURA · 2017 to 2021
$996k
GENETICS AND PREDICTION OF CEREBRAL EDEMA AFTER HEMISPHERIC STROKEK23NS099440 · NINDS · WASHINGTON UNIVERSITY · PI DHAR, RAJAT · 2017 to 2021
$890k
NINDS NIH HHS K23 NS099440NINDS NIH HHS K23NS099440NINDS NIH HHS K23 NS099487NINDS NIH HHS K23NS099487NINDS NIH HHS R01 NS085419NINDS NIH HHS R01NS085419NINDS NIH HHS R01 NS121218NINDS NIH HHS R01NS121218NINDS NIH HHS U24 NS107230NINDS NIH HHS U24NS107230
6 · The paper itself

Abstract

backgroundCerebral edema has primarily been studied using midline shift or clinical deterioration as end points, which only captures the severe and delayed manifestations of a process affecting many patients with stroke. Quantitative imaging biomarkers that measure edema severity across the entire spectrum could improve its early detection, as well as identify relevant mediators of this important stroke complication.

methodsWe applied an automated image analysis pipeline to measure the displacement of cerebrospinal fluid (ΔCSF) and the ratio of lesional versus contralateral hemispheric cerebrospinal fluid (CSF) volume (CSF ratio) in a cohort of 935 patients with hemispheric stroke with follow-up computed tomography scans taken a median of 26 h (interquartile range 24-31) after stroke onset. We determined diagnostic thresholds based on comparison to those without any visible edema. We modeled baseline clinical and radiographic variables against each edema biomarker and assessed how each biomarker was associated with stroke outcome (modified Rankin Scale at 90 days).

resultsThe displacement of CSF and CSF ratio were correlated with midline shift (r = 0.52 and - 0.74, p < 0.0001) but exhibited broader ranges. A ΔCSF of greater than 14% or a CSF ratio below 0.90 identified those with visible edema: more than half of the patients with stroke met these criteria, compared with only 14% who had midline shift at 24 h. Predictors of edema across all biomarkers included a higher National Institutes of Health Stroke Scale score, a lower Alberta Stroke Program Early CT score, and lower baseline CSF volume. A history of hypertension and diabetes (but not acute hyperglycemia) predicted greater ΔCSF but not midline shift. Both ΔCSF and a lower CSF ratio were associated with worse outcome, adjusting for age, National Institutes of Health Stroke Scale score, and Alberta Stroke Program Early CT score (odds ratio 1.7, 95% confidence interval 1.3-2.2 per 21% ΔCSF).

conclusionsCerebral edema can be measured in a majority of patients with stroke on follow-up computed tomography using volumetric biomarkers evaluating CSF shifts, including in many without visible midline shift. Edema formation is influenced by clinical and radiographic stroke severity but also by chronic vascular risk factors and contributes to worse stroke outcomes.

Indexed as

Brain EdemaBrain IschemiaIschemic StrokeStrokeBiomarkersEdemaHumansIncidenceRisk FactorsTreatment OutcomeBiomarkersBiomarkersBrain edemaComputed tomographyImagingStroke

Identifiers

PMID37188885
PMCPMC11025464
OpenAlexW4376602667

What OpenQuestion holds

Textmetadata
LicenceTDM
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.