Best perioperative practices in the management of obstructive sleep apnea patients undergoing ambulatory surgery
Bibliographic record
Abstract
PURPOSE OF REVIEW: This review is timely due to the increasing prevalence of obstructive sleep apnea (OSA) among patients undergoing ambulatory surgery, necessitating updated perioperative management strategies to improve outcomes and reduce complications. RECENT FINDINGS: Recent studies emphasize the importance of risk stratification using tools like STOP-Bang, highlighting the association between high-risk OSA and increased perioperative complications. Intraoperative management strategies, including the preference for regional anesthesia and careful monitoring of neuromuscular blockade, have been shown to mitigate risks. Postoperative protocols, particularly continuous monitoring, are crucial in preventing opioid-induced respiratory depression. SUMMARY: Effective management of OSA in ambulatory surgery requires a multidisciplinary approach, encompassing preoperative screening, tailored intraoperative techniques, and vigilant postoperative monitoring. Implementing guidelines and protocols can significantly enhance patient safety and outcomes.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 teacher head, 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".