The relationship between excessive daytime sleepiness and the quality of life in patients with moderate to severe obstructive sleep apnea and hypoventilation syndrome
Bibliographic record
Abstract
Objective To investigate the association of excessive daytime sleepiness(EDS) and the quality of life in patients with moderate to severe obstructive sleep apnea and hypoventilation syndrome (OSAHS).Methods 123 patients with moderate to severe OSAHS were diagnosed by polysomnography(PSG),and 52 cases ruled out by PSG were controls.Patients and controls were completed the Calgary sleep apnea quality of life index (SAQLI) and the Epworth sleepiness score(ESS).Results There were statistical significance of body mass index (BMI),respiratory disturbance index(RDI),the lowest oxygen saturatioo( LSpO2 ),the longest apnea time( Tmax),the percentage of recording time with oxygen saturation of 90％ or less(T90) between the patients and the controls.Daily Functioning,Social Interactions,Emotional Functioning,Symptoms,and total scores of SAQLI in patients with moderate to severe OSAHS were(3.88 ± 1.05),(4.48 ± 1.39),(4.76 ± 1.59),(2.98 ± 1.10),(3.94 ± 1.22),which were less than that of controls respectively.The ESS scoree of patients with moderate to severe OSAHS were higher than that of controls[ ( 13.98 ± 4.05 ) vs (5.78 ± 2.45) ],( P ＜ 0.01 ).ESS were related to the daily Functioning,social interactions,emotional functioning,symptoms,and total scores of SAQLI in patients with moderate to severe OSAHS,and the coecient of correlation were - 0.52,- 0.48,- 0.40,- 0.48 and - 0.44,respectively,and all p value were less than 0.01.Conclusion Patients with moderate to severe OSAHS have the EDS,which associate with the impairment of quality of life.The higher ESS may indicate the decrease of quality of life in patients with moderate to severe OSAHS. Key words: Sleep apnea,Obstructive ; Quality of life
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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".