Possibilities of predicting the risk of cognitive impairments in patients with sleep apnea and cerebral infarction
Bibliographic record
Abstract
Objective. To evaluate the effectiveness of superoxide dismutase (SOD) as a marker for predicting cognitive impairment at the end of the acute period of cerebral infarction (CI) in patients with sleep apnea (SA). Materials and methods. Seventy four patients in the acute period of CI and concomitant SA and 36 patients with СI without AS were examined. All patients underwent respiratory polygraphy, determination of cognitive impairment using the Montreal Cognitive Assessment, and blood SOD analysis. Results. A threshold value of serum SOD activity ≤47.9 activity units was established, which is a prognostic marker of impairments in visual-constructive/executive skills (AUC ‒ 0.725 (95% CI 0.609–0.823; p=0.003); sensitivity ‒ 70.9% (95% CI 58.1–81.8); specificity ‒ 66.7% (95% CI 34.9–90.1)) and delayed recall (AUC ‒ 0.701 (95% CI 0.584–0.802; p=0.005); sensitivity ‒ 70.5% (95% CI 57.4–81.5); specificity ‒ 61.5% (95% CI 31.6–86.1)) at the end of the acute period of CI in patients with SA. Conclusion. In patients with SA the threshold value of the blood SOD activity indicator ≤47.9 activity units can be used as a good-quality classifier for identifying risk groups for the development of visual-constructive/executive skills disorders and delayed recall starting from the first days of the CI, and planning their treatment and rehabilitation measures including the appointment of continuous positive airway pressure therapy.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".