A retrospective analysis of airway management in patients with obstructive sleep apnea and its effects on postanesthesia care unit length of stay.
Bibliographic record
Abstract
Obstructive sleep apnea (OSA) is a form of sleep-disordered breathing characterized by periods of partial or complete obstruction of the upper airway during sleep, resulting in oxygen desaturations. Symptoms and risk factors for OSA are of particular importance in the management of OSA patients in the perioperative setting. The present study collected data regarding the intraoperative airway management of OSA patients and their course in the postanesthesia care unit (PACU) over a six-month period. A total of 86 patients underwent general anesthesia, 63 of whom were intubated by direct laryngoscopy. Of these, 43% were classified as a grade 1 view by direct laryngoscopy, 43% were grade 2 and 14% were classified as grade 3. Apnea events or periods of desaturation in the PACU were observed in 27% of cases. Length of stay was significantly longer for cases in which PACU nurses had indicated that OSA had affected the individuals' postoperative course of treatment. Overall, OSA patients had an increased frequency of grade 3 views compared with the general population, and adjuncts were commonly used to help secure the airway in OSA patients. Symptomatic OSA patients placed increased demands on the PACU in terms of length of stay and hospital resources.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".