The Applications Of The STOP-Bang Questionnaire In Screening Obstructive Sleep Apnea In Patients With Metabolic Syndrome

Objective:To evaluate the predictive performance of the STOP-Bang questionnaire screening obstructive sleep apnea (OSA) in patients with metabolic syndrome (MS).Methods:From May 2013 to September 2014, Patients with MS and accorded with the inclusion criteria were recruited at the First Affiliated Hospital of Xinjiang Medical University. We applied the STOP questionnaire to these patients. Information concerning Bang was collected. The portable polysomnography(PSG) were performed in these patients. There were 317 patients with successful PSG and completed STOP-Bang questionnaire results. Compare the results of the STOP-Bang sore and PSG. Analyze the crude accuracy, kappa index and correlation of the two diagnoses. Fourfold table was used to calculate sensitivity, specificity, positive predictive value, and negative predictive values for each score. Draw receiver operating characteristic(ROC) curve.Results:As the components of the questionnaire:snore loudly, observed apnea, gender, age, neck circumference worked well to identify the OSA patient with MS. The STOP-Bang score showed a growing tendency with the increased severity degree of OSA (2.30±1.01,3.48±1.30,3.82±1.26,4.57±1.43). In 317 MS patients, a STOP-Bang score of 3 had high sensitivity of 86.36% and reasonable sensitivity of 50.94% for identifying MS patient with OSA. When predicting all OSA, moderate/severe OSA or severe OSA, a STOP-Bang score of 4 had higher accuracy. Using the STOP-Bang score to predict MS patients with all OSA (AHI>5), moderate/severe OSA (AHI>15), and severe OSA (AHI>30), the area under the ROC curve was 0.824 (95%CI 0.771-0.876),0.851 (95%CI 0.801-0.901),0.892 (95%CI 0.843-0.941) respectively (P<0.001). Conclusion:The STOP-Bang questionnaire has high accuracy and feasibility in screening OSA and can predict the severity of OSA among patients with MS, and is worthy of spreading.