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
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.
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“Meta-analysis of observational studies suggested that patients with obstructive sleep apnea or related disorders were more likely to sustain atrial fibrillation (OR 1.51, 95% CI 1.36 to 1.69) or hypoxemia (WMD − 3.8%, 95% CI − 5.4% to − 2.2%) [45–59].”
In the citing paper
“Meta-analysis of observational studies suggested that patients with obstructive sleep apnea or related disorders were more likely to sustain atrial fibrillation (OR 1.51, 95% CI 1.36 to 1.69) or hypoxemia (WMD − 3.8%, 95% CI − 5.4% to − 2.2%) [45–59].”
In the citing paper
“Nevertheless, screening using the STOP-BANG criteria seemed to be predictive of postoperative complications in several observational studies [3, 4, 8, 9, 47, 48, 52, 53].”
Citations
Cites
Difficult tracheal intubation in obstetrics
Cormack, R. S., & Lehane, J. R. (1983) · Anaesthesia · doi:10.1111/j.1365-2044.1984.tb08932.x · Cited by 2,576
Practice Guidelines for Management of the Difficult Airway
Apfelbaum, J. L., Hagberg, C. A., Caplan, R. A., Blitt, C. D., Connis, R. T., Nickinovich, D. G., Hagberg, C. A., The previous update was developed by the American Society of Anesthesiologists Task Force on Difficult Airway Management, Caplan, R. A., Benumof, J. L., et al. (2013) · Anesthesiology · doi:10.1097/aln.0b013e31827773b2 · Cited by 2,535
High STOP-Bang score indicates a high probability of obstructive sleep apnoea
Chung, F., Subramanyam, R., Liao, P., Sasaki, E., Shapiro, C., & Sun, Y. (2012) · British Journal of Anaesthesia · doi:10.1093/bja/aes022 · Cited by 988
Incidence and Predictors of Difficult and Impossible Mask Ventilation
Kheterpal, S., Han, R., Tremper, K. K., Shanks, A., Tait, A. R., O’Reilly, M., & Ludwig, T. A. (2006) · Anesthesiology · doi:10.1097/00000542-200611000-00007 · Cited by 655
Morbid Obesity and Tracheal Intubation
Brodsky, J. B., Lemmens, H. J. M., Brock-Utne, J. G., Vierra, M., & Saidman, L. J. (2002) · Anesthesia & Analgesia · doi:10.1097/00000539-200203000-00047 · Cited by 640
Prediction and Outcomes of Impossible Mask Ventilation: A Review of 50,000 Anesthetics
Kheterpal, S., Martin, L. D., Shanks, A. M., & Tremper, K. K. (2009) · Anesthesiology · doi:10.1097/aln.0b013e31819b5b87 · Cited by 463
Obstructive Sleep-Related Breathing Disorders in Patients Evaluated for Bariatric Surgery
Frey, W. C., & Pilcher, J. (2003) · Obesity Surgery · doi:10.1381/096089203322509228 · Cited by 411
A Systemic Review of Obstructive Sleep Apnea and Its Implications for Anesthesiologists
Chung, S. A., Yuan, H., & Chung, F. (2008) · Anesthesia & Analgesia · doi:10.1213/ane.0b013e318187c83a · Cited by 326
Grading Scale for Mask Ventilation
Han, R. J. W., Tremper, K. K., Kheterpal, S., & O’Reilly, M. (2004) · Anesthesiology · doi:10.1097/00000542-200407000-00059 · Cited by 226
Difficult Endotracheal Intubation in Patients with Sleep Apnea Syndrome
Siyam, M. A., & Benhamou, D. (2002) · Anesthesia & Analgesia · doi:10.1097/00000539-200210000-00058 · Cited by 203
Screening for obstructive sleep apnea before surgery: why is it important?
Chung, F. F., & Elsaid, H. (2009) · Current Opinion in Anaesthesiology · doi:10.1097/aco.0b013e32832a96e2 · Cited by 184
Vasu, T. S., Doghramji, K., Cavallazzi, R., Grewal, R. G., Hirani, A., Leiby, B. E., Markov, D., Reiter, D. M., Kraft, W. K., & Witkowski, T. A. (2010) · Archives of Otolaryngology - Head and Neck Surgery · doi:10.1001/archoto.2010.1020 · Cited by 178
Unrecognized Sleep Apnea in the Surgical Patient
Kaw, R. K., Michota, F. A., Jaffer, A. K., Ghamande, S. A., Auckley, D. H., & Golish, J. A. (2006) · CHEST Journal · doi:10.1378/chest.129.1.198 · Cited by 169
Obstructive Sleep Apnea Is Not a Risk Factor for Difficult Intubation in Morbidly Obese Patients
Neligan, P. J., Porter, S. B., Max, B. A., Malhotra, G., Greenblatt, E. P., & Ochroch, E. A. (2009) · Anesthesia & Analgesia · doi:10.1213/ane.0b013e3181b12a0c · Cited by 153
The effect of neuromuscular blockade on mask ventilation
Warters, R. D., Szabo, T. A., Spinale, F. G., DeSantis, S. M., & Reves, J. G. (2011) · Anaesthesia · doi:10.1111/j.1365-2044.2010.06601.x · Cited by 138
Preoperative predictors of difficult intubation in patients with obstructive sleep apnea syndrome
Kim, J. A., & Lee, J. J. (2006) · Canadian Journal of Anesthesia/Journal canadien d anesthésie · doi:10.1007/bf03022506 · Cited by 113
The effect of neuromuscular blockade on the efficiency of mask ventilation of the lungs*
Goodwin, M., Pandit, J. J., Hames, K., Popat, M. T., & Yentis, S. M. (2003) · Anaesthesia · doi:10.1046/j.1365-2044.2003.02788_3.x · Cited by 77
Prediction of Difficult Laryngoscopy: Does Obesity Play a Role?
Hekiert, A. M., Mick, R., & Mirza, N. A. (2007) · Annals of Otology Rhinology & Laryngology · doi:10.1177/000348940711601102 · Cited by 33
Postoperative respiratory problems in morbidly obese patients.
Hans, G. A., Lauwick, S., Kaba, A., Brichant, J. F., & Joris, J. L. (2009) · PubMed · Cited by 22
Obstructive sleep apnea is a risk factor for difficult endotracheal intubation.
Corso, R. M., Piraccini, E., Calli, M., Berger, M., GORINI, M., Agnoletti, V., Gambale, G., & Vicini, C. (2011) · PubMed · Cited by 15
Cited by
Apfelbaum, J. L., Hagberg, C. A., Connis, R. T., Abdelmalak, B. B., Agarkar, M., Dutton, R. P., Fiadjoe, J. E., Greif, R., Klock, P. A., Mercier, D., et al. (2022) · Anesthesiology · doi:10.1097/aln.0000000000004002 · Cited by 1,340
Apfelbaum, J. L., Hagberg, C. A., Connis, R. T., Abdelmalak, B., Agarkar, M., Dutton, R. P., Fiadjoe, J. E., Greif, R., Klock, P. A., Mercier, D. W., et al. (2022) · doi:10.48350/161339 · Cited by 526
Di Lorenzo, N., Antoniou, S. A., Batterham, R. L., Busetto, L., Godoroja, D., Iossa, A., Carrano, F. M., Agresta, F., Alarçon, I., Azran, C., et al. (2020) · Surgical Endoscopy · doi:10.1007/s00464-020-07555-y · Cited by 465
Will This Patient Be Difficult to Intubate?: The Rational Clinical Examination Systematic Review
Detsky, M. E., Jivraj, N., Adhikari, N. K., Friedrich, J. O., Pinto, R., Simel, D. L., Wijeysundera, D. N., & Scales, D. C. (2019) · JAMA · doi:10.1001/jama.2018.21413 · Cited by 265
Law, J. A., Duggan, L. V., Asselin, M., Baker, P., Crosby, E. T., Downey, A. W., Hung, O. R., Kovacs, G. J., Lemay, F., Noppens, R., et al. (2021) · Canadian Journal of Anesthesia/Journal canadien d anesthésie · doi:10.1007/s12630-021-02008-z · Cited by 224
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
- ORCID
- 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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