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High STOP-BANG questionnaire scores predict intraoperative and early postoperative adverse events. | LitMetric

High STOP-BANG questionnaire scores predict intraoperative and early postoperative adverse events.

Singapore Med J

Department of Anaesthesia, Khoo Teck Puat Hospital, 90 Yishun Central, Singapore 768828.

Published: April 2015

Introduction: Obstructive sleep apnoea (OSA) is the most common sleep-related breathing disorder associated with multisystemic organ involvement. The STOP-BANG questionnaire is a concise, validated questionnaire that is used to screen for OSA. This study aimed to establish the use of the STOP-BANG questionnaire for perioperative patient risk stratification.

Methods: In this retrospective cohort study, we extracted the demographic, medical and perioperative outcome data of all patients who underwent elective surgery, excluding ophthalmic surgeries, from January to December 2011. Multivariate regression analysis was used to predict independent risk factors for intraoperative and early postoperative adverse events.

Results: Of the 5,432 patients analysed, 7.4% had unexpected intraoperative and early postoperative adverse events. We found that the risk of unexpected intraoperative and early postoperative adverse events was greater in patients with STOP-BANG scores ≥ 3 compared to those with a STOP-BANG score of 0 (score 3: odds ratio [OR] 3.6, 95% confidence interval [CI] 2.1-6.3, p < 0.001; score 4: OR 3.4, 95% CI 1.8-6.5, p < 0.001; score 5: OR 6.4, 95% CI 2.7-15.0, p < 0.001; score ≥ 6: OR 5.6, 95% CI 2.1-15.4, p < 0.001). Patients with STOP-BANG scores ≥ 5 had a fivefold increased risk of unexpected intraoperative and early postoperative adverse events, while patients with STOP-BANG scores ≥ 3 had a 'one in four' chance of having an adverse event. Other independent predictors included older age (p < 0.001), American Society of Anesthesiologists class ≥ 2 (p < 0.003) and uncontrolled hypertension (p = 0.028).

Conclusion: STOP-BANG score may be used as a preoperative risk stratification tool to predict the risk of intraoperative and early postoperative adverse events.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4415101PMC
http://dx.doi.org/10.11622/smedj.2015034DOI Listing

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