Influencing factors of cognitive dysfunction in first episode patients with cerebral infarction
Bibliographic record
Abstract
Objective To study the first patients with cerebral infarction occurred influencing factors of cognitive dys function.Methods Selected from February 2010 to March 2012 Cixi city people's hospital treated 192 cases of firstepisode patients with cerebral infarction,collected the clinical data and the Montreal Cognitive Assessment(MoCA) assessment of cognitive function in patients with depression,used more Logistic regression analysis of cognitive dysfunction risk factors.Results The cognitive dysfunction group and cognitive control group age,smoking,coronary heart disease,atrial fibrillation,anemia,impaired fasting glucose,impaired glucose tolerance,diabetes,systolic blood pressure,HDL-C,hs-CRP,NIHSS score and the difference was statistically significant(P 0.05) between the depression into multivariate Logistic regression analysis,atrial fibrillation,diabetes,systolic blood pressure,HDL-C,hs-CRP,NIHSS score and depression in patients with cerebral infarction occurred cognitive dysfunction independent risk factor(P 0.05).Frontal and temporal lobes,basal ganglia,thalamus infarction and cerebral infarction in patients with cognitive dysfunction was closely related(P 0.05).Conclusion The first cerebral infarction in patients with a higher incidence of cognitive dysfunction,elevated hs-CRP was significantly high degree of neurological impairment,key parts of infarction and atrial fibrillation,diabetes and high blood pressure in patients with a history of increased attention,and should emphasis on the patient's psychological counseling and treatment,alleviate depression,and help cognitive dysfunction early detection,early intervention.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".