The influence of different degrees of obstructive sleep apnea hypopnea syndrome associated on cognitive function
Bibliographic record
Abstract
Objective To explore the influence of different degrees of obstructive sleep apnea hypopnea syndrome (OSAHS) associated on cognitive function. Methods 86 hospitailized patients with OSAHS diagnosis standard by our department polysomnography were collected.According to apnea hypopnea index (AHI), they were divided into the mild-moderate and severe groups.And then we compared two groups of Montreal cognitive assessment scale (MoCA) results, event related potential (ERP) ingredients in P300 latency period, the brain volume of hippocampal atrophy and cerebral white matter lesions related focal high signal around the lateral ventricle which measured by regular craniocerebral MRI sequence and perpendicular to the bilateral hippocampal fluid attenuated inversion recovery (FIAIR) sequence. Results The MoCA total score of the severe group was significantly lower than the moderate group′ and so did the scores of in memory′ attention′ execution′ability (P<0.05), but there was no significant difference in the rest of cognitive field.The P300 latency period of the severe group was significantly longer than the moderate group (P<0.05). With the severity of OSAHS aggravated, hippocampal volume atrophy and PVH showed a trend of increase, the severe group was significantly higher than the moderate group (P<0.05). Conclusions Compared with moderate patients′ the cognitive function of severe patients with OSAHS which is mainly reflected in the memory′ attention′ execution′ability, and its corresponding brain structure and function are affected at the same time, its can provide early and objective basis for OSAHS′ cognitive impairment diagnosis. Key words: Obstructive sleep apnea hypopnea syndrome; Cognitive impairment; Montreal cognitive assessment scale; P300 latency period; Hippocampus; White matter
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".