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Low caveolin-1 predicts the poor outcome in patients with acute ischemic stroke

2016· article· en· W3031930944 on OpenAlexaboutno aff
Kejin Yin, Liqin Luan, Wenbin Wang, Qin Yin

Bibliographic record

VenueInt J Cerebrovasc Dis · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCaveolin-1 and cellular processes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineModified Rankin ScaleInternal medicineStroke (engine)Univariate analysisLogistic regressionCorrelationMultivariate analysisIschemic strokeSurgeryIschemia

Abstract

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Objective To investigate the correlation between the baseline serum caveolin-1 (Cav-1) levels and the clinical outcome in patients with acute ischemic stroke at day 90 after onset. Methods Consecutive patients with acute ischemic stroke treated in hospital were enrolled. The Cav-1 levels were measured by the enzyme-linked immunosorbent assay. Functional outcomes were assessed at day 90 after onset using the modified Rankin Scale (mRS), and mRS 0-2 was defined as good outcome. The demographic and clinical characteristics of the good outcome group and the poor outcome group were compared. Multivariate logistic regression analysis was used to identify the correlation between the low serum Cav-1 levels and the poor outcome at day 90 after onset. Results A total of 169 patients with acute ischemic stroke were included in the analysis, including 116 males (68.5%). Their age ranged from 50 to 83 years (mean, 63.4±9.1). The mean serum Cav-1 level was 5.483±2.617 ng/ml. Eighty-three-patients (49.1%) were in the good outcome group and 86 (50.9%) were in the poor outcome group. Univariate analysis showed that the proportions of patients in subcortical infarct (60.5% vs. 43.4%; χ2=4.944, P=0.026) and diffusion-weighted imaging-Alberta Stroke Program Early CT Score, (DWI-ASPECT) ≤7 (58.1% vs. 40.9%; χ2=4.984, P=0.026), as well as age (65.5±8.9 years vs. 61.2±10.7 years; t=2.793, P=0.006), baseline systolic blood pressure level (140.6±17.2 mmHg vs. 134.9±13.4 mmHg; t=2.368, P=0.019; 1 mmHg=0.133 kPa), and National Institutes of Health Stroke Scale (NIHSS) score (4.8±3.4 vs. 3.9±2.2; t=2.211, P=0.036) were significantly higher than those of the good outcome group, and the serum Cav-1 level was significantly lower than that of the good outcome group (4.9±2.3 ng/ml vs. 6.1±2.1 ng/ml; t=2.977, P=0.003). After adjusting for the related confounding factors, multivariate logistic regression analysis showed that the low Cav-1 level was an independent predictor of poor outcome at day 90 in patients with acute ischemic stroke (odd ratio, 1.157, 95% confidence interval 1.016-1.319; P=0.028). Conclusion The low serum Cav-1 level is an independent predictor of poor outcome in patients with acute ischemic stroke. Key words: Stroke; Brain Ischemia; Caveolin 1; Prognosis; Risk Factors; Treatment Outcome; Biomarkers

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.668
Threshold uncertainty score0.471

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 studies0.0000.000
Scholarly communication0.0000.000
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 head0.004
GPT teacher head0.204
Teacher spread0.200 · 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 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".

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Citations0
Published2016
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