Correlation Analysis of Serum Lipopolysaccharide, Nuclear Factor Erythroid 2-Related Factor 2 and Haem Oxygenase 1 Levels and Cognitive Impairment in Patients with Obstructive Sleep Apnoea
Bibliographic record
Abstract
Objective: To investigate the correlation between the levels of serum lipopolysaccharide (LPS), nuclear factor erythroid 2-related factor 2 (Nrf2), haem oxygenase 1 (HO-1) and cognitive impairment in patients with obstructive sleep apnoea (OSA). Methods: Serum LPS, Nrf2, HO-1 levels and cognitive impairment were measured using the Montreal Cognitive Assessment (MoCA) score in 56 patients in the “severe” group, 67 patients in the “mild-to-moderate” group and 100 healthy people in the “control” group. The differences in general conditions and serological indexes between the three groups were compared, the correlation between the MoCA scores and the serological indexes was explored and the independent predictors of the MoCA scores were analysed. Results: Serum LPS, Nrf2 and HO-1 levels were higher in the severe group than in the mild-to-moderate group and the control group ( p < 0.05). A total of 71 patients with OSA had combined cognitive impairment, accounting for 57.7%, and the MoCA scores were lower in the severe group than in the mild-to-moderate group and the control group ( p = 0.018). Serum LPS, Nrf2 and HO-1 levels were significantly higher in the severe group and mild-to-moderate group than in the control group ( p < 0.05) and were negatively correlated with the MoCA scores. Lipopolysaccharide ( p < 0.001) and HO-1 ( p = 0.002) could be considered independent predictors of the MoCA score. Conclusion: Serum LPS and HO-1 levels are closely related to cognitive impairment in patients with OSA and have potential clinical value in the diagnosis. Keywords: obstructive sleep apnoea, cognitive impairment, lipopolysaccharide, nuclear factor erythroid 2-related factor 2, haem oxygenase 1
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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 | 0.001 | 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".