The influence of sleep apnoea syndrome on cognitive functions in patients with cerebral infarction
Bibliographic record
Abstract
The aim of the research. To study cognitive functions and their dynamics in acute cerebral infarction in patients with sleep apnoea syndrome. Material and methods. A total of 74 patients with cerebral infarction (CI) and sleep apnoea syndrome (SAS) (the main group) and 40 patients with CI without SAS (the comparison group) were examined. Cognitive functions were assessed using the Montreal Cognitive Assessment (MOCA) scale within the first 72 hours and one month after the onset of CI. SAS was detected through respiratory polygraphy or autonomous polysomnography. The control group included 40 patients without CI or SAS. CPAP therapy was administered to 20 patients of the main group for 7-10 days. Results. In patients of the main group, median MOCA scores were 20 (18; 23) within the first 72 hours after CI onset and 21.5 (19; 25) after one month, which was significantly lower than those in the comparison and the control groups (p<0.05). The most pronounced cognitive impairments in the main group were observed in patients with severe SAS (apnoea-hypopnea index (AHI) ≥30) (p <0.05). For SAS patients, inverse correlations between the MOCA score at the beginning and the end of acute CI, between the AHI and the maximum duration of the apnoea episode, as well as a direct correlation between the MOCA score and the minimum saturation (p<0.05) have been established. The AHI of over 11.6 respiratory events per hour has been revealed to be a prognostic marker of cognitive dysfunction at the end of acute СI (AUC - 81.1% (95% CI (70.3-89.2)). After a month, the patients receiving CPAP therapy did not significantly differ in cognitive impairments from the rest of the patients in the main group (p>0.05). Conclusion. In SAS patients in the acute period of СI, the AHI increase is accompanied by a decrease in the MOCA score. The AHI of over 11.6 respiratory events per hour can be used to identify risk groups of patients with cognitive impairments requiring correction of treatment and rehabilitation procedures.
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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 | 0.000 | 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 | 0.000 |
| 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".