Abstract P2061: Cardiovascular Risk Profile of a Young Adult Population Assisted by a Family Healthcare Unit in Rio De Janeiro With High Risk for Obstructive Sleep Apnea Screened By Stop-Bang Questionnaire and Epworth Sleepiness Scale

Abstract

Objective: To establish the relationship between cardiovascular (CV) risk profile and detected risk of Obstructive Sleep Apnea (OSA) in two questionnaires - STOP-BANG (SB) and Epworth Sleepiness Scale (ESS), in a young population of adults registered in a Family Health Unit (USF) located in Rio de Janeiro, Brazil - LapARC cohort study. Methods: This cross-sectional population study enrolled adults between 20-50 years old, registered in a primary healthcare unit in Rio de Janeiro. A database is being developed including sociodemographic and anthropometric data, and CV risk factors. Office blood pressure (OBP) and Home Blood Pressure Monitoring (HBPM) (7-day protocol) were obtained with Omron-705CP. Furthermore, OSA was investigated by SB and ESS. Patients with a high risk for OSA in either of these two questionnaires were subsequently assigned for polysomnography (PSG). Results: A total of 391 subjects were evaluated [40% males, 38 ± 8 years], where 96 (25%) were identified as high risk for OSA by the SB questionnaire and 143 (37%) by ESS. The most common CV risk factor was physical inactivity (45%), followed by dyslipidemia (34%) and obesity (24%). By OBP, the prevalence of hypertension was 24% while by HBPM was 18%, with a low concordance between them (kappa=0.385). Subjects with a high risk by SB are older, with a higher prevalence of obesity (50% vs 16%), hypertension (29% vs 9%), and higher office BP and HBPM. On the other hand, individuals with high-risk by ESS were more obese (34% vs 19%), with increased waist circumference (48% vs 32%), higher prevalence of dyslipidemia (43% vs 41%) and metabolic syndrome (13% vs 7%). However, there was no difference in BP levels. Among the subjects assigned to PSG, 46% had a diagnosis of OSA (AHI ≥ 5/hour) and 23% of moderate/severe OSA (AHI>15/hour). The best predictor of OSA was SB, positive in 100% of subjects with moderate/severe OSA, while ESS was positive in only 20% of them. Conclusion: This young and apparently healthy population presented a high prevalence and risk for OSA. The SB had a higher association with higher BP levels, while ESS was associated with a worse metabolic profile. Therefore, SB questionnaire seems to be the best predictor for moderate/severe OSA in this population.