[Serum S100 protein and NSE levels and significance of changes after treatment in patients with severe OSAHS].
Bibliographic record
Abstract
OBJECTIVE: Understand the changes before and after treatment in patients with severe OSAHS serum S100β protein, NSE levels and cognitive function. To investigate the molecular mechanisms of cognitive dysfunction in patients with severe OSAHS. Serum S100β protein, NSE levels and cognitive function were examined before and after the therapy. METHOD: Select one hundred patients diagnosed as severe OSAHS were included, by polysomnography (PSG) diagnosis of severe OSAHS patients. Determination of serum S100β protein, and NSE levels and theat the same time be MoCA score were checked at after the day after admission, CPAP treatment for the 7th days after CPAP treatment and the 90th day after, comprehensive treatment in these patients for 3 months. Assessment of severe OSAHS patients with serum S100β protein, NSE basic level and MoCA score situation. Comparison of three groups serum S100β protein, NSE levels and MoCA score changes. Serum S100β protein, NSE detection assay (ELISA) method using enzyme-linked immunosorbent. RESULT: (1) Severe OSAHS patients with serum S100β protein, and NSE levels in severe OSAHS patients were positively correlated with AHI, but negatively correlated with lowest oxygen saturation (LSaO2); (2) MoCA score in patients with severe OSAHS was significantly negatively correlated with AHI, but positively correlated with LSaO2; (3) S100β protein, NSE levels were negatively correlated with MoCA score; (4) Compared with admission, serum S100β protein, and NSE levels in these patients have declined after 7 days CPAP therapy, compared with admission the difference was statistically significant (P < 0.05). After 3 months of comprehensive treatment, patients' serum S100β protein and, NSE levels were significantly decreased, compared with the admission and the 7th days after CPAP treatment. The difference was statistically significant (P < 0.05). (5) After CPAP treatment for 7 days, the MoCA scores were slightly higher, but have there was no statistically significant difference compared with the admission (P > 0.05). After 3 months of comprehensive treatment, MoCA score improved significantly, compared with the admission and 7 days after CPAP treatment the difference was statistically significant (P < 0.05). CONCLUSION: Comprehensive treatment can reduce serum S100β protein, and NSE levels, and improve MoCA score. Disease severity in patients with OSAHS have a correlation some relative.with the serum S100β protein, NSE levels and MoCA score. Long-term hypoxemia and the structure of sleep disorders may be the cause of elevated serum S100β protein, NSE levels elevated and causes of cognitive dysfunction. Comprehensive treatment can improve patient hypoxemia, correct disorders of sleep structure ,and can improve cognitive function and to improve the quality of life of 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 | 0.000 | 0.001 |
| 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) | 0.001 | 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".