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Cited by 65Airway Management and Intubation TechniquesObstructive Sleep Apnea ResearchAnesthesia and Pain Management

The DOI matches its Crossref record; 20 of the 21 references it cites were found in a registry or an index.

STOP-Bang and prediction of difficult airway in obese patients

Toshniwal, Gokul, McKelvey, George M., Wang, Hong·2014·Journal of Clinical Anesthesia

Abstract

Study objective To determine if a high score (≥ 3) on the STOP-Bang screening questionnaire for obstructive sleep apnea (OSA) predicts whether obese patients are at high risk for OSA and increased risk of difficult airway.Design Prospective, questionnaire-based clinical assessment.Setting University-affiliated hospital.Patients 127 ASA physical status 2 and 3 patients, who were scheduled for elective bariatric surgery.Interventions Patients were allocated to three groups. Group 1 patients had a previous history of OSA, Group 2 patients had no history of OSA but did have a high STOP-Bang score (≥ 3), and Group 3 patients had no history of OSA but did have a low STOP-Bang score (< 3). Groups 2 and 3 only were assessed using the STOP-Bang questionnaire. After induction and intubation of the patient, an anesthesiologist who was blinded to the three study group allocations completed an airway questionnaire on the three study groups.Measurements The frequency of difficult airway, difficult mask ventilation with or without muscle relaxation, poor visualization of the vocal cords, difficulty in blade insertion, and difficult intubation were compared.Main results The group of patients with high STOP-Bang scores (Group 2) and those patients previously diagnosed with OSA (Group1) showed a higher risk for difficult airway than the patients with low STOP-Bang scores (Group 3; P < 0.001).Conclusion The STOP-Bang score may be used as an effective predictor of difficult airway in obese patients. Obese surgical patients with unknown/undiagnosed OSA status should be evaluated using the STOP-Bang questionnaire score.

Overview

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Crossref · 10.1016/j.jclinane.2014.01.010

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Metadata

Authors
Toshniwal, G., McKelvey, G. M., & Wang, H.
Affiliations
  • Beaumont Hospital, Dearborn (US)
  • Detroit Medical Center (US)
  • Wayne State University (US)
Corresponding author
Wang, Hong
Venue
Journal of Clinical Anesthesia
Publisher
Elsevier BV
Published
2014-08
Volume
26
Issue
5
Pages
360-367
ISSN
0952-8180 (ISSN-L)
OpenAlex
W2170873833
Cited by
64
References
21
Citations by year
2026: 1 · 2025: 6 · 2024: 7 · 2023: 4 · 2022: 6 · 2021: 10 · 2020: 2 · 2019: 2 · 2018: 7 · 2017: 6 · 2016: 6 · 2015: 6 · 2014: 1
FWCI
8.66
Type
journal article
Language
en
Open access
closed
Licence
  • www.elsevier.com/tdm/userlicense/1.0/ (tdm)
  • www.elsevier.com/legal/tdmrep-license (tdm)
Locations
  • Journal of Clinical Anesthesia (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Anesthesiology and Pain Medicine › Airway Management and Intubation Techniques
  • Health Sciences › Medicine › Physiology (medical) › Obstructive Sleep Apnea Research
  • Health Sciences › Medicine › Anesthesiology and Pain Medicine › Anesthesia and Pain Management
Keywords
STOP-BANG questionnaire, obstructive sleep apnea, difficult airway, obesity, bariatric surgery, airway assessment, difficult intubation, preoperative screening, risk prediction
MeSH terms
Adult, Female, Hospitals, University, Humans, Intubation, Intratracheal, Male, Obesity, Prospective Studies, Surveys and Questionnaires, Risk, Laryngeal Masks, Sleep Apnea, Obstructive, Bariatric Surgery

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.