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Record W2765894750 · doi:10.1161/str.48.suppl_1.138

Abstract 138: Plasma Soluble ST2 Concentration Predicts Functional Outcome and Hemorrhagic Transformation After Acute Ischemic Stroke

2017· article· en· W2765894750 on OpenAlexaff
Zoe Wolcott, Ayush Batra, Jane Khoury, Matthew Sperling, Brett C. Meyer, Kyle Walsh, Opeolu Adeoye, Joseph P. Broderick, W. Taylor Kimberly

Bibliographic record

VenueStroke · 2017
Typearticle
Languageen
FieldImmunology and Microbiology
TopicIL-33, ST2, and ILC Pathways
Canadian institutionsKimberly-Clark (Canada)
Fundersnot available
KeywordsMedicineModified Rankin ScaleInternal medicineStroke (engine)Intracerebral hemorrhageLogistic regressionBiomarkerGastroenterologyCardiologyIschemic strokeIschemiaSubarachnoid hemorrhage

Abstract

fetched live from OpenAlex

Introduction: Soluble ST2 (sST2) is a member of the interleukin-1 receptor family that predicts mortality and outcome in cardiovascular disease. We aimed to determine whether baseline sST2 predicts functional outcome after stroke and examined its potential role in hemorrhagic transformation (HT). Methods: We measured plasma sST2 and matrix metalloproteinase-9 (MMP-9) in 646 patients who presented with acute ischemic stroke and were enrolled in the Specialized Program of Translational Research in Acute Stroke (SPOTRIAS) network biomarker study. Soluble ST2 and total MMP-9 were measured by ELISA. Functional outcome was assessed at 3 months with the modified Rankin Scale (mRS), with good outcome defined as mRS 0-2, and poor outcome defined as mRS 3-6. HT was classified in 246 patients with available CT scans, using the ECASS III criteria. The relationships between sST2, outcome, and HT were evaluated using multivariate logistic regression. Results: Median admission sST2 level was 35.0 ng/mL [IQR 25.7—49.8] in 646 patients (mean age 69 years; 44% women). The plasma concentration of sST2 was independently associated with poor outcome (OR 3.06, 95% CI 1.15-8.31, P =0.02) and mortality (OR 8.94, 95% CI 2.13-39.55, P =0.003) after adjustment for age, sex, NIHSS, admission glucose, cardioembolic stroke subtype, and tPA treatment. Of the 246 patients with imaging data available, HT occurred in 37 (15%) patients: 18 (48%) with hemorrhagic infarction type 1 (HI1), 11 (30%) with hemorrhagic infarction type 2 (HI2), 4 (11%) with parenchymal hemorrhage type 1 (PH1) and 4 (11%) with parenchymal hemorrhage type 2 (PH2). Admission sST2 level was associated with the subsequent development of any HT ( P =0.03) and with hemorrhagic infarction type 2 or greater (HI2, PH1, or PH2; P =0.008). Elevated sST2 independently predicted HI2 or greater after adjustment for age, MMP-9, blood glucose level, and tPA treatment (OR 9.27, 95% CI, 1.05-86.76, P =0.045). Conclusion: Plasma sST2 levels predicted mortality, functional outcome, and risk of HT after ischemic stroke. Further study of the potential link between sST2 and the brain injury response after stroke is warranted.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.541
Threshold uncertainty score0.838

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.018
GPT teacher head0.235
Teacher spread0.217 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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