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Obstructive Sleep Apnoea Screening Preoperatively with the Epworth Questionnaire: Is It Worth It…?
Peter Vasas1, Ajay Gupta2, Corinne Owers2
1Doncaster and Bassetlaw Teaching Hospitals NHS Foundation Trust, Doncaster, South Yorkshire, UK. vasasdr@gmail.com.
Obesity Surgery
|December 5, 2018
Summary
Obstructive sleep apnoea (OSA) prevalence in bariatric patients was lower than expected. The Epworth Sleepiness Scale (ESS) may not reliably predict OSA in this population before surgery.
Area of Science:
- Bariatric Surgery
- Sleep Medicine
- Pulmonology
Background:
- Obstructive sleep apnoea (OSA) is highly prevalent in bariatric populations, with reported rates from 60-83%.
- The Epworth Sleepiness Scale (ESS) is a common tool for assessing subjective daytime sleepiness and identifying individuals at high risk for OSA.
Purpose of the Study:
- To determine the prevalence of OSA in patients undergoing bariatric surgery using ESS screening.
- To evaluate the predictive value of the ESS for OSA in this specific patient group.
Main Methods:
- A prospective study included 425 patients undergoing bariatric surgery from 2012-2017.
- Patients were screened using the ESS pre-operatively and categorized into low-risk (ESS < 11) and high-risk (ESS ≥ 11) groups.
- Demographics and ESS scores were recorded; OSA prevalence was assessed.
Main Results:
- The study found an OSA prevalence of 14% in the community and 20% overall in the bariatric cohort.
- The ESS demonstrated a positive predictive value of 60% for OSA.
- Patients with OSA were older and had a lower female ratio; hospital stay was slightly longer for OSA patients, with high-ESS scores correlating with longer stays.
Conclusions:
- The actual prevalence of OSA in this bariatric surgery cohort was lower than previously reported.
- The ESS may have limited predictive value for identifying OSA in patients prior to bariatric surgery.
- OSA might be overemphasized in the pre-bariatric surgery pathway.
Keywords:
Bariatric surgeryGastric bypassObstructive sleep apnoeaPreoperative screeningRisk predictionMore Related Videos
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