PURPOSE: The snoring, tiredness, observed apnea, blood pressure, body mass index, age, neck circumference, gender (STOP-BANG) is a concise and effective obstructive sleep apnea (OSA) screening tool, part questionnaire (STOP), and part demographic or anthropometric measurements (BANG). The main purpose of this study was to translate this well-liked questionnaire into Persian and assess its reliability and validity in sleep clinic population. METHODS: Standard forward-backward method was used for translation. A sample of 603 patients, who admitted to the sleep clinic, completely answered to the STOP questionnaire and underwent in-laboratory polysomnography, included in this study. Height, weight, and neck circumference were measured by technicians for calculating BANG score. The apnea-hypopnea index (AHI) on the polysomnography was used as gold standard for OSA diagnosis: none (AHI < 5), mild (5 ≤ AHI < 15), moderate (15 ≤ AHI < 30), and severe (AHI ≥ 30). One hundred and forty one patients were answered to the STOP questionnaire twice at a time interval of 2-4 weeks for test-retest analysis. RESULTS: In reliability analysis, 124 (87.9 %) patients had same STOP score and 130 (92.2 %) patients were classified in same risk of OSA. Based on the polysomnography, 438 patients (72.6 %) had mild (n = 124, 20.4 %), moderate (n = 114, 18.9 %), and severe (n = 201, 33.3 %) OSA, whereas according to the STOP-BANG, 502 patients (83.3 %) were at high risk of OSA. The sensitivity and specificity of the STOP-BANG were found to be 91.6 and 45.2 %, respectively, at AHI ≥ 5, 97.1 and 35.2 %, respectively, at AHI ≥ 15, and 98 and 29.4 %, respectively, at AHI ≥ 30. The area under the curve of the STOP-BANG for identifying mild, moderate, and severe OSA was 0.805, 0.779, and 0.755, respectively. CONCLUSIONS: Persian version of the STOP-BANG performs similar to its original version and is an easy-to-use questionnaire which could be considered as a reliable and valid tool for OSA screening.
PURPOSE: The snoring, tiredness, observed apnea, blood pressure, body mass index, age, neck circumference, gender (STOP-BANG) is a concise and effective obstructive sleep apnea (OSA) screening tool, part questionnaire (STOP), and part demographic or anthropometric measurements (BANG). The main purpose of this study was to translate this well-liked questionnaire into Persian and assess its reliability and validity in sleep clinic population. METHODS: Standard forward-backward method was used for translation. A sample of 603 patients, who admitted to the sleep clinic, completely answered to the STOP questionnaire and underwent in-laboratory polysomnography, included in this study. Height, weight, and neck circumference were measured by technicians for calculating BANG score. The apnea-hypopnea index (AHI) on the polysomnography was used as gold standard for OSA diagnosis: none (AHI < 5), mild (5 ≤ AHI < 15), moderate (15 ≤ AHI < 30), and severe (AHI ≥ 30). One hundred and forty one patients were answered to the STOP questionnaire twice at a time interval of 2-4 weeks for test-retest analysis. RESULTS: In reliability analysis, 124 (87.9 %) patients had same STOP score and 130 (92.2 %) patients were classified in same risk of OSA. Based on the polysomnography, 438 patients (72.6 %) had mild (n = 124, 20.4 %), moderate (n = 114, 18.9 %), and severe (n = 201, 33.3 %) OSA, whereas according to the STOP-BANG, 502 patients (83.3 %) were at high risk of OSA. The sensitivity and specificity of the STOP-BANG were found to be 91.6 and 45.2 %, respectively, at AHI ≥ 5, 97.1 and 35.2 %, respectively, at AHI ≥ 15, and 98 and 29.4 %, respectively, at AHI ≥ 30. The area under the curve of the STOP-BANG for identifying mild, moderate, and severe OSA was 0.805, 0.779, and 0.755, respectively. CONCLUSIONS: Persian version of the STOP-BANG performs similar to its original version and is an easy-to-use questionnaire which could be considered as a reliable and valid tool for OSA screening.
Authors: Vishesh K Kapur; Dennis H Auckley; Susmita Chowdhuri; David C Kuhlmann; Reena Mehra; Kannan Ramar; Christopher G Harrod Journal: J Clin Sleep Med Date: 2017-03-15 Impact factor: 4.062
Authors: Habibolah Khazaie; Saeedeh Negahban; Mohammad R Ghadami; Dena Sadeghi Bahmani; Edith Holsboer-Trachsler; Serge Brand Journal: J Int Med Res Date: 2018-01-11 Impact factor: 1.671