Obstructive Sleep Apnea Syndrome and the Quality of Life
Bibliographic record
Abstract
BACKGROUND AND AIMS: Obstructive sleep apnea syndrome (OSA) affects the quality of life (QOL) due to the effects on the patient's physical and mental function. QOL in sleep apnea may improve under continuous airway positive pressure (CPAP) therapy. The purpose of this study was to assess the OSA patients QOL before and after 3 months of CPAP therapy using Calgary Sleep Apnea Quality of Life Index (SAQLI). METHODS: We conducted a study in 79 sleep apnea subjects diagnosed using cardiorespiratory portable monitoring, under CPAP therapy, monitored in our Sleep Laboratory from January 2011 to December 2014. This is a cross-sectional study, achieved through quantitative research (SAQLI questionnaire application) about the perception of quality of life in patients with sleep apnea in the moment of diagnosis and 3 months after CPAP therapy. RESULTS: Of the 79 subjects, 59 (74.7%) were men and 20 (26.3%) women; mean age was 54.13 years (SD±10.87), the mean apnea-hypopnea index (AHI) was 52.46±20.83 events/h. In all 4 domains of SAQLI: daily functioning with mean pretreatment score 4.13±0.58 versus mean post treatment score 5.43±0.52; social interactions with mean pretreatment score 3.68±0.55 versus post treatment mean score 5.36±0.57; emotional functioning with mean pretreatment score 3.83±0.53 versus mean post treatment mean 5.38±0.56 and symptoms with mean pretreatment score 0.81±0.12 versus mean post treatment score 1.15±0.14, quality of life was improved after 3 months of therapy, with significantly statistical correlation (p=0.00). Also, an improvement was seen in mean total score of SAQLI after therapy as compared to baseline 3.11±0.32 versus 4.24±0.39 (p<0.01). CONCLUSION: The quality of life in sleep apnea was better after CPAP therapy than from baseline, according Calgary Sleep Apnea Quality of Life Index. The SAQLI is a useful toll to evaluate quality of life in sleep apnea, especially to highlight the benefits of CPAP therapy, even with short time monitoring.
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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 | 0.001 | 0.004 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".