Serum Homocysteine and the Short-Term Outcome of Ischemic Stroke
Bibliographic record
Abstract
Background: Homocysteine is considered as one of the factors affecting the prognosis of ischemic stroke. The aim of this study is to determine the relationship between homocysteine level and ischemic stroke outcome. Method: This cross-sectional study was conducted between December 2010 and September 2011 on 145 patients with ischemic stroke in middle cerebral artery ( MCA) territory, after approval by Guilan University of Medical Science’s Ethics Committee. Patients with a history of stroke, brain lesion, liver or kidney disorders, pneumonia, sepsis and who had seizure at the beginning or during hospitalization were excluded. Uncontrolled diabetes, anemia and dramatic blood pressure reduction in admission were defined as confounding factors. In the first week, serum level of homocysteine was measured and the functional independence and status of patients were measured with functional independence measure (FIM) and Barthel index (BI) in the first week and first month after stroke. Data were analyzed by t-test, ANOVA, Mann-Whitney U, Kruskal-Wallis tests and backward stepwise logistic and linear regression analysis using SPSS 19. Results: One hundred and forty-five patients (55.9% men and 44.1% women) with mean age of 68.3 ± 13.8 years old were evaluated. Serum level of homocysteine was determined as an independent predictor for mortality in the first week (P = 0.017; OR = 1.179; 95% CI: 1.03 - 1.35). No significant correlation was found between serum homocysteine level and BI and FIM in the period of study (P > 0.05). Conclusions: Homocysteine decreases mortality rate in patients with stroke in the first week but does not affect the functional outcome of alive patients. J Neurol Res. 2014;4(1):15-21 doi: http://dx.doi.org/10.14740/jnr265w
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".