%0 Journal Article %T Prevalence of obstructive sleep apnea in obese patients candidates for bariatric surgery and predictive questionnaires. %A Matarredona Quiles S %A Carrasco Llatas M %A Martínez Ruíz de Apodaca P %A Díez Ares JÁ %A Navarro Martínez S %A Dalmau Galofre J %J Acta Otorrinolaringol Esp (Engl Ed) %V 0 %N 0 %D 2024 Jun 20 %M 38908791 暂无%R 10.1016/j.otoeng.2024.06.001 %X OBJECTIVE: Obstructive sleep apnea (OSA) is a prevalent condition among electable to bariatric surgery obese patients, often remaining underdiagnosed, thereby increasing surgical risk. The main purpose was to determine prevalence of OSA among candidates for bariatric surgery and to assess the rate of underdiagnosis of this condition. Additionally, the study aimed to evaluate the specific performance of three sleep questionnaires and scales (Excessive Daytime Sleepiness Scale (EDSS), Epworth Sleepiness Scale (ESS), and STOP-Bang) in these patients.
METHODS: A longitudinal, prospective, single-cohort study, with consecutive sampling including patients aged 18-65 years with obesity grade II (body mass index (BMI) ≥ 35 kg/m2) and hypertension, type 2 diabetes, metabolic syndrome or OSA or obesity grade III or IV (BMI ≥ 40 kg/m2) elective for bariatric surgery. Patients were evaluated at the Otorhinolaryngology department with an anamnesis regarding OSA including the administration of three sleep questionnaires (EDSS, ESS, and STOP-Bang), followed by cardiorespiratory polygraphy (CRP) for sleep evaluation.
RESULTS: 124 patients were included in this study. While 74.2% of the sample exhibited OSA on CRP, only 28.2% had a prior diagnosis. The STOP-Bang questionnaire demonstrated the highest sensitivity (93.3%) for detecting moderate to severe OSA, although with low specificity (33.8%). EDSS and ESS did not show a significant association with the presence of OSA.
CONCLUSIONS: OSA screening is crucial in candidates for bariatric surgery due to its high prevalence and low diagnosis rate. The STOP-Bang questionnaire may serve as a useful tool for identifying patients at risk of moderate to severe OSA and optimizing sleep assessments. However, further research is necessary to validate its utility in this specific population.