Correlation between cognitive impairment after acute cerebral infarction and blood homocysteine
Bibliographic record
Abstract
Objective To investigate the correlation between the blood homocysteine( Hcy) and cognitive impairment after acute cerebral infarction by prospective study. Methods A total of 400 consecutive patients of acute cerebral infarction were enrolled and divided into no cognitive impairment group and cognitive impairment group according to Montreal cognitive assessment( Mo CA). Univariate analyses were conducted on the potential risk factors of cognitive impairment,including age,sex,smoking,alcohol,hypertension,diabetes,dyslipidemia,level of education,infarction in key parts,atrial fibrillation,serum uric acid and blood Hcy,between the two groups. The statistically significant indicators in univariate analyses were used as independent variables and the score of Mo CA was used as the dependent variable for conduction of multiple linear regression analysis. The assessment of relative risks and correlation analysis in cognitive impairment after cerebral infarction were conducted according to level of blood Hcy and age. Results Blood Hcy was independent risk factors of cognitive impairment after acute cerebral infarction according to univariate and multiple linear regression analyses( RR = 1. 33. 95% CI 1. 018- 1. 733). Mild negative correlation was discovered between blood Hcy and the score of Mo CA in the patients older than 65 years( r =- 0. 426,P = 0. 048),as moderate negative correlation in the patient younger than 65 years old( r =- 0. 518,P = 0. 000). Conclusion Blood Hcy is independent risk factor of cognitive impairment after acute cerebral infarction. The risk of cognitive impairment after acute cerebral infarction is increased in patients with high blood Hcy. The correlation between cognitive impairment after acute cerebral infarction and blood Hcy is more prominent in young patients.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".