Evidence map›Paper›PMID 40495231›Full record

ArticleNeurological research and practice2025

Admission glucose is a significant outcome predictor in anterior circulation stroke: approaching the sweet spot.

Alexandra Filipov, Martin Andermann, Guilherme Lepski, Analía Arévalo, Tim Hilgenfeld, Silvia Schönenberger, Christoph Gumbinger, Markus Möhlenbruch, Peter Arthur Ringleb, Jessica Jesser

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Article in Neurological research and practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Alexandra FilipovDepartment of Neurology, Heidelberg University Hospital, Heidelberg, Germany.
Martin AndermannDepartment of Neurology, Heidelberg University Hospital, Heidelberg, Germany.
Guilherme LepskiDepartment of Experimental Surgery, Medical School, University of São Paulo, São Paulo, Brazil.
Analía ArévaloDepartment of Experimental Surgery, Medical School, University of São Paulo, São Paulo, Brazil.
Tim HilgenfeldDepartment of Neuroradiology, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany.
Silvia SchönenbergerDepartment of Neurology, Heidelberg University Hospital, Heidelberg, Germany.
Christoph GumbingerDepartment of Neurology, Heidelberg University Hospital, Heidelberg, Germany.
Markus MöhlenbruchDepartment of Neuroradiology, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany.
Peter Arthur RinglebDepartment of Neurology, Heidelberg University Hospital, Heidelberg, Germany.
Jessica JesserDepartment of Neuroradiology, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany. jesser.jessica@gmail.com.ORCID http://orcid.org/0000-0002-1236-8828

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdmission glycemia has emerged as an important outcome predictor in the context of mechanical thrombectomy (MT) for large vessel occlusions (LVO) in ischemic stroke. However, a clinically relevant threshold of glucose levels to identify patients at risk for poor functional outcome has yet to be established.

methodsWe conducted a retrospective, monocentric, consecutive registry-based analysis of patients who underwent MT for anterior circulation LVO. Good outcome was defined as functional independence after 90 days (90d mRS < 3) or no deterioration from premorbid mRS. We performed a multiple logistic regression analysis to assess the association between admission glucose levels and functional outcome, including for well-established outcome predictors, i.e. age, NIHSS, Alberta Stroke Program Early CT Score (ASPECTS), time to reperfusion, unsuccessful recanalization, presence of bleeding, and diabetes. In addition, we conducted a receiver operating characteristic (ROC) analysis to determine the optimal admission glucose threshold that best discriminates patients at risk for poor outcome, maximizing sensitivity and specificity.

resultsWe analyzed 509 patients (mean age = 74.3 ± 12.6 years, median previous mRS = 1.5, 48% male). 194 patients (38.1%) had good outcome and 315 (61.9%) had poor outcome. According to the logistic regression admission glucose (p = 0.012, OR 1.009 95% CI [1.002 1.016]) contributed to predicting poor outcome, while known diabetes did not show a significant contribution. The ROC analysis revealed an admission glucose of 117 mg/dL (59.7% sensitivity; 58% specificity) to be the optimal cut-off value to discriminate patients at risk for poor outcome with an OR of 2.3.

conclusionAdmission hyperglycemia is an independent predictor of poor outcome after MT for LVO in the anterior circulation. We hypothesize, that optimal glucose values in patients undergoing MT will likely be in the low normoglycemic range. Prospective controlled studies with targeted glucose values will be needed for validation.

Indexed as

Admission glucoseHyperglycemiaMechanical thrombectomy

Identifiers

PMID40495231
PMCPMC12153081

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