Vulnerability to Postoperative Complications in Obstructive Sleep Apnea: Importance of Phenotypes
Bibliographic record
Abstract
Obstructive sleep apnea (OSA) is a common comorbidity in patients undergoing surgical procedures. Patients with OSA are at heightened risk of postoperative complications. Current treatments for OSA focus on alleviating upper airway collapse due to impaired upper airway anatomy. Although impaired upper airway anatomy is the primary cause of OSA, the pathogenesis of OSA is highly variable from person to person. In many patients, nonanatomical traits play a critical role in the development of OSA. There are 4 key traits or "phenotypes" that contribute to OSA pathogenesis. In addition to (1) impaired upper airway anatomy, nonanatomical contributors include: (2) impaired upper airway dilator muscle responsiveness; (3) low respiratory arousal threshold (waking up too easily to minor airway narrowing); and (4) unstable control of breathing (high loop gain). Each of these phenotypes respond differently to postoperative factors, such as opioid medications. An understanding of these phenotypes and their highly varied interactions with postoperative risk factors is key to providing safer personalized care for postoperative patients with OSA. Accordingly, this review describes the 4 OSA phenotypes, highlights how the impact on OSA severity from postoperative risk factors, such as opioids and other sedatives, is influenced by OSA phenotypes, and outlines how this knowledge can be applied to provide individualized care to minimize postoperative risk in surgical patients with OSA.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".