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Record W4406994125 · doi:10.1161/str.56.suppl_1.dp31

Abstract DP31: Effect of Hemoglobin and Blood Glucose Levels on CTP Ischemic Core Underestimation: a post-hoc analysis of the ESCAPE-NA1 trial

2025· article· en· W4406994125 on OpenAlexaff
Umberto Pensato, Salome Bosshart, Alexander Stebner, Axel Rohr, Timothy Kleinig, Rishi Gupta, Götz Thomalla, Ji Hoe Heo, Mayank Goyal, Andrew M. Demchuk, Michael D. Hill, Johanna M. Ospel

Bibliographic record

VenueStroke · 2025
Typearticle
Languageen
FieldMedicine
TopicCerebrovascular and Carotid Artery Diseases
Canadian institutionsVancouver General HospitalUniversity of Calgary
Fundersnot available
KeywordsMedicinePost-hoc analysisHemoglobinPost hocIschemic strokeInternal medicineCore (optical fiber)Stroke (engine)CardiologyIschemia

Abstract

fetched live from OpenAlex

Introduction: CT perfusion maps (CTP) can estimate the ischemic core in acute ischemic stroke based on distinctive cerebral blood flow (CBF) thresholds. However, metabolic factors beyond perfusion influence the tissue tolerance to ischemia and the infarct growth rate. Hypothesis: We hypothesize that patients with lower hemoglobin and higher blood glucose levels exhibit reduced cerebral tissue resilience to hypoperfusion and will show larger ischemic core underestimation volume (ICuV) compared to other patients with normal hemoglobin and blood glucose levels. Methods: Large vessel occlusion stroke patients investigated with baseline CTP undergoing thrombectomy with near-complete reperfusion and without parenchymal hemorrhage from the ESCAPE-NA1 trial were included. Patients were subdivided into anemic (Hgb <130g/L for men and <120g/L for women) and non-anemic groups, and hyperglycemic (blood glucose level >7mmol/L) and normoglycemic groups. The primary outcome was the presence of “perfusion scotoma” defined as ICuV ≥10mL. The presence of “perfusion scotoma” and median ICuV were compared between anemic vs. non-anemic and hyperglycemic vs. normoglycemic patients using non-parametric tests and multivariable binary logistic regression with adjustment for baseline variables. Results: One-hundred-sixty-two/1105 (15%) patients were included ( Figure 1 ). The median ICuV was 7.26mL (IQR=0-25.63). Seventy-eight (48%) patients demonstrated perfusion scotoma. Forty-two (25.7%) patients were anemic, and 65 (40.1%) were hyperglycemic. In univariable analysis, the hyperglycemic group had a higher prevalence of perfusion scotoma (65% [n=40] vs. 39% [n=38], p=0.006) and larger ICuV (17.79 mL [IQR=1.57-42.75] vs. 6 mL [-0.31, 12.51], p=0.003) compared to normoglycemic patients ( Figure 2 ). No significant ICuV differences between patients with and without anemia were seen. Multivariable regression analysis revealed an association between perfusion scotoma and hyperglycemia, adjusted odds ratio (OR) 2.37 (95%CI=1.22-4.61), and between perfusion scotoma and blood glucose levels, adjusted OR 1.19 (95%CI= 1.02-1.37) per 1 mmol/L increase ( Figure 3 ). Conclusion: In our study, CTP-based ischemic core underestimation was common and associated with higher baseline blood glucose levels. Individual metabolic factors beyond perfusion that critically influence the infarct growth rate should be considered when interpreting baseline CTP estimations of the ischemic core volume.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.278
Teacher spread0.267 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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