Subjective and Objective Assessment of Quality of Life for Coblation-Assisted Operation in Patients with Severe OSAHS
Bibliographic record
Abstract
Objective To evaluate the subjective and objective improvement of quality of life in patients with lowtemperature plasma-assisted modified uvulopalatopharyngoplasty (H-UPPP) combined with lymphoidectomy in radix linguae and coblation-channeling of the tongue (CCT) treating for severe obstructive sleep apnea hypopnea syndrome (OSAHS),and compare the surgical efficacy with that of H-UPPP.Methods A total of 81patients with severe OSAHS were divided in to treatment group (n=42) and control group (n=39). Treatment group underwent the low-temperature plasma-assisted HUPPP combining lymphoidectomy inradix linguae and CCT,and control group underwent H-UPPP treatment. The apnea hypopnea index (AHI), the lowest saturation of arterial oxygen (LSaO2) and Quebec sleep questionnaire (QSQ) and Epworth sleepiness scale (ESS) before operation and 6-month after operation were recorded and compared between two groups.Results All of detection indicators were significantly improved after operation in treatment group (P 0.01). The total surgical efficacy was significantly higher in treatment group than that of control group (83.3% vs 12.8%,χ2=40.225,P0.01). The total improvement rate of five dimensions in QSQ such as daytime sleepiness symptoms (76.2% vs 25.6%), signs during the day (71.4% vs 10.2%) and night (54.8% vs 5.1%), emotion (54.8% vs 2.5%), ability of social intercourse (50.0% vs 2.5%) and the total score (57.1% vs 7.7%) after operation were significantly higher in treatment group than those of control group. The severe indexes of ESS decreased to 23.8% after operation in treatment group than those of control group (51.3%).Conclu-sion Low-temperature plasma-assisted H-UPPP combined with lymphoidectomy in radix linguae and CCT is effective in patients with severe OSAHS, which can also improve the quality of life postoperatively.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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".