Effects of tonsillectomy under general anaesthesia on articulatory characteristics and blood levels of PCT, GMP-140, and T lymphocyte subsets in children with obstructive sleep apnea-hypopnea syndrome
Bibliographic record
Abstract
Objective To explore the effects of tonsillectomy under general anesthesia on articulatory characteristics and blood levels of procalcitonin (PCT), platelet membrane protein-140 (GMP-140), and T lymphocyte subsets in children with obstructive sleep apnea-hypopnea syndrome (OSAHS). Methods Forty-three children with OSAHS who underwent tonsillectomy under general anesthesia in the Department of Otorhinolaryngology Head and Neck Surgery of Xi’an Children’s Hospital, Shaanxi Province from June 2020 to March 2022 were randomly selected for the study. The children were evaluated for articulatory characteristics, blood levels of PCT, GMP-140, and T lymphocyte subsets, as well as sleep status before surgery and at 1 and 3 months after surgery. Results The longest duration of articulating /a/ was significantly prolonged and the second formant was significantly enhanced at 1 and 3 months after surgery (F=43.07,39.65,P<0.05). The longest duration of articulating /i/ was significantly prolonged and the fourth formant was significantly enhanced at 1 and 3 months after surgery (F=21.43,44.25,P<0.05). At 1 and 3 months after surgery, the blood levels of PCT, GMP-140, and CD8+ and apnea hypoventilation index were significantly reduced (F=29.67-112.86,P<0.05); the blood levels of CD3+, CD4+, and CD4+/CD8+, nocturnal lowest blood oxygen saturation, and Quebec Sleep Questionnaire scores were significantly increased (F=12.15-234.11,P<0.05). Conclusion Tonsillectomy under general anesthesia can significantly prolong the longest duration of articulating /a/ and /i/ in children with OSAHS, improve their articulatory characteristics, reduce the inflammatory response, improve the quality of sleep, and have a positive impact on the restoration of immune function.
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 | 0.000 | 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) | 0.000 | 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".