Diagnostic accuracy of anthropometric measures in uncomplicated patients at risk for obstructive sleep apnea in the European Sleep Apnoea Database
Bildiriler > Özet Bildiri
Yazarlar: Alexandros Kalkanis, Dimitrios Papadopoulos, Athanasia Pataka, Johan Verbraecken, Sophia Schiza, Tarja Saaresranta, Ding Zou, Marta Drummond, Ozen K Basoglou, Paschalis Steiropoulos, Maria R Bonsignore, Sébastien Bailly, Ludger Grote, Dries Testelmans
Clinical and epidemiological respiratory sleep medicine, , , Uluslararası, Özet Bildiri, ss PA1089-PA1089
DOI: 10.1183/13993003.congress-2025.pa1089
Özet
Objectives: Excessive daytime sleepiness is a dominant feature of moderate-to-severe obstructive sleep apnoea (ms-OSA) and sleepy uncomplicated at-risk patients are candidates for home sleep apnoea testing. We aimed to compare the diagnostic accuracies between various anthropometric measures and the Epworth Sleepiness Scale (ESS) in uncomplicated patients attending sleep clinics and identify sex-specific cut-offs to achieve at least 85% specificity to diagnose ms-OSA. Methods: We retrospectively included consecutive uncomplicated patients from the European Sleep Apnoea Database that underwent polysomnography and had available measurements of height, weight, neck, waist, and hip circumference, and ESS score. Nineteen anthropometric measures were derived and evaluated for prediction of ms-OSA. The dataset was split into a training and a testing set and Receiver Operating Characteristic (ROC) curve analysis was performed. Results: From 10,725 eligible subjects, 76.2% had ms-OSA. In the training set, all anthropometric measures had significantly larger areas under the ROC curve (AUC) than the ESS (0.572 in males, 0.528 in females). Waist-to-height ratio (WHtR), body roundness index (BRI), and relative fat mass (RFM) shared the highest AUC in both sexes (0.731 in males, 0.721 in females). In the testing set, WHtR had the highest specificity for the diagnosis of ms-OSA (89% for a value >0.66 in males, 83% for a value >0.71 in females). Discussion: In our Pan-European cohort we identified anthropometric measures as better predictors for ms-OSA than the ESS score. Their use may help to improve current diagnostic pathways in Europe.