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Record W3149986234 · doi:10.4103/sja.sja_1010_20

Perioperative care of obstructive sleep apnea patients: A survey of European anesthesiologists

2021· article· en· W3149986234 on OpenAlexaff
Olumuyiwa A. Bamgbade, Oluwafemi Oluwole, Wael Khalaf, Christine Namata, Lidya M. Metekia

Bibliographic record

VenueSaudi Journal of Anaesthesia · 2021
Typearticle
Languageen
FieldMedicine
TopicObstructive Sleep Apnea Research
Canadian institutionsUniversity of SaskatchewanUniversity of British Columbia
Fundersnot available
KeywordsMedicineObstructive sleep apneaPerioperativeAmerican society of anesthesiologistsSleep apneaAnesthesiaIntensive care medicineEmergency medicine

Abstract

fetched live from OpenAlex

Background: Obstructive sleep apnea (OSA) is prevalent in the surgical patient population and is associated with high risk of perioperative complications. There are limited guidelines and wide practice variations regarding the perioperative care of obese and OSA patients. This is a study of European anesthesiologists' clinical practice of perioperative care of OSA patients. Methods: This survey evaluated United Kingdom anesthesiologists' clinical practice of the perioperative care of OSA patients. Outcomes and variables were compared between 4100 anesthesiologists of different clinical experience and hospital settings. Results: Approximately 45% of respondents manage OSA patients rarely, 42% occasionally, and 13% regularly. Most respondents order OSA screening tests if patients have tonsillar hypertrophy, head/neck tumor, BMI >35, increased neck circumference, craniofacial anomaly, and right-sided electrocardiography (ECG) anomaly. Majority request preoperative polysomnography, ECG, overnight pulse oximetry, and arterial blood gas analysis. Majority recommend preoperative weight loss, optimisation, smoking cessation, reduction of substance use, and regular mask-CPAP use. Majority consider endoscopy, and ophthalmology as appropriate day case procedures, but not laparoscopy. Majority postpone elective airway, laparoscopic, laparotomy, and head/neck surgery; if patients are not optimized preoperatively. For major surgery, combined general + neuraxial anesthesia was ranked as 3 rd option. For major limb surgery, neuraxial anesthesia without sedation was ranked as 1 st option, nerve block without sedation was ranked 2 nd , and general anesthesia + nerve block was ranked 3 rd or 4 th . At anesthesia emergence, majority ensure that patients have normal consciousness, respiration and neuromuscular function. Majority ensure postoperative oximetry, telemetry, and oxygen supplementation. Conclusion: This study highlights variations in anesthesiologists' perioperative care of OSA patients; even in developed countries with advanced medical training and standards. The study outcomes will improve perioperative care of OSA patients.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.021
GPT teacher head0.284
Teacher spread0.262 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2021
Admission routes1
Has abstractyes

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