Evidence map›Paper›PMID 39539662›Full record

ArticleFrontiers in neurology2024

Association of renal biomarkers with fast progressor phenotype and related outcomes in anterior circulation large vessel occlusion stroke.

Lucas Rios Rocha, Mohammad N Kayyali, Bishow C Mahat, Abdullah Al-Qudah, Mohamed F Doheim, Alhamza R Al-Bayati, Nirav R Bhatt, Matthew T Starr, Shlee S Song, Raul G Nogueira and 1 more

Abstract read
In one paragraph

Article in Frontiers in neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Lucas Rios RochaUPMC Stroke Institute and Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.
Mohammad N KayyaliUPMC Stroke Institute and Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.
Bishow C MahatUPMC Stroke Institute and Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.
Abdullah Al-QudahUPMC Stroke Institute and Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.
Mohamed F DoheimUPMC Stroke Institute and Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.
Alhamza R Al-BayatiUPMC Stroke Institute and Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.
Nirav R BhattUPMC Stroke Institute and Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.
Matthew T StarrUPMC Stroke Institute and Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.
Shlee S SongDepartment of Neurology, Comprehensive Stroke Center, Cedars-Sinai Medical Center, Los Angeles, CA, United States.
Raul G NogueiraUPMC Stroke Institute and Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.
Marcelo RochaUPMC Stroke Institute and Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.

Funding

VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JENNIFER S BRACH · 2004 to 2026
$28.6M
Stroke Trials Network-Regional Coordinating Center University of Pittsburgh (STN-UP)U24NS107216 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Raul Gomes Nogueira, MARCELO ROCHA · 2018 to 2026
$2.9M
NIA NIH HHS P30 AG024827NINDS NIH HHS U24 NS107216
6 · The paper itself

Abstract

Background: Renal dysfunction is a known predictor of long-term functional dependency after anterior circulation large vessel occlusion (ACLVO) stroke. However, the impact of renal dysfunction on early infarct growth rate (IGR) has not been previously demonstrated. The objective of this study was to define the association of creatinine-based renal biomarkers with fast or slow progressor phenotypes and related clinical outcomes in ACLVO stroke. Methods: This retrospective study examined patients with acute intracranial internal carotid artery or middle cerebral artery-M1 occlusions admitted between 2014 and 2019. Patients were included if they received baseline CT perfusion (CTP) or MRI on presentation within 24 h of estimated stroke onset. Infarct growth rate (IGR) was determined by ischemic core volume on CTP or MRI divided by time from stroke onset to imaging. IGR was used to stratify fast progressor (IGR ≥10 mL/h) and slow progressor (IGR < 10 mL/h) status. Renal dysfunction was assessed based on serum creatinine and estimated glomerular filtration rate (eGFR) on presenting laboratories. Logistic regression models, adjusted for significant covariates, identified independent associations between renal dysfunction biomarkers, progressor status, and clinical outcomes based on modified Rankin Scale (mRS) at 90 days. Results: Among 230 patients with ACLVO, 29% were fast progressors, with median serum creatinine levels higher than slow progressors (1.1 vs. 0.9 mg/dL, Conclusion: Serum creatinine-based biomarkers of renal dysfunction were associated with fast progressor phenotype of ACLVO stroke, and worse clinical outcomes, which may help identify such patients earlier during emergency evaluation for expedited access to EVT. Future prospective studies are warranted to confirm and test implementation of these findings.

Indexed as

anterior circulationischemic tolerancelarge vessel occlusionrenal functionstroke outcomes

Identifiers

PMID39539662
PMCPMC11557537

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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.