Seon Tae Kim1, Kee Hyung Park2, Seung-Heon Shin3, Ji-Eun Kim4, Chi-Un Pae5, Kwang-Pil Ko6, Hee Young Hwang7, Seung-Gul Kang8. 1. Department of Otolaryngology, Gil Medical Center, College of Medicine, Gachon University, Incheon, Republic of Korea. 2. Department of Neurology, Gil Medical Center, College of Medicine, Gachon University, Incheon, Republic of Korea. 3. Department of Otorhinolaryngology, School of Medicine, Catholic University of Daegu, Daegu, Republic of Korea. 4. Department of Neurology, School of Medicine, Catholic University of Daegu, Daegu, Republic of Korea. 5. Department of Psychiatry, Bucheon St. Mary's Hospital, College of Medicine, Catholic University of Korea, Bucheon, Republic of Korea. 6. Department of Preventive Medicine, College of Medicine, Gachon University, Incheon, Republic of Korea. 7. Department of Radiology, Gil Medical Center, Gachon University, College of Medicine, Incheon, Republic of Korea. 8. Department of Psychiatry, Gil Medical Center, College of Medicine, Gachon University, 1198, Guwol-dong, Namdong-Gu, Incheon, 21565, Republic of Korea. kangsg@gachon.ac.kr.
Abstract
PURPOSE: This study developed formulas to predict obstructive sleep apnea (OSA) and the Apnea-Hypopnea Index (AHI) in Korean patients with suspected OSA using clinical, anthropometric, and cephalometric variables. METHODS: We evaluated relevant variables in 285 subjects with suspected OSA. These included demographic characteristics, sleep-related symptoms, medical history, clinical scales, anthropometric measurements including facial surface measurements, and cephalometric measurements. All participants underwent full-night laboratory polysomnography. The prediction formula for the probability of OSA was created by logistic regression analysis and confirmed by the bootstrap resampling technique. The formula for predicting the AHI was developed using multiple linear regression analysis. RESULTS: The probability of having OSA was as follows: p = 1 / (1 + exponential (exp)-f ), where f = -16.508 + 1.445 × loudness of snoring 4 + 0.485 × loudness of snoring 3 + 0.078 × waist circumference + 0.209 × subnasale-to-stomion distance + 0.183 × thickness of the uvula (UTH) supine + 0.041 × age. The AHI prediction formula was as follows: -112.606 + 3.516 × body mass index + 0.683 × mandibular plane-hyoid supine + 10.915 × loudness of snoring 4 + 6.933 × loudness of snoring 3 + 1.297 × UTH supine + 0.272 × age. CONCLUSION: This is the first study to establish formulas to predict OSA and the AHI in Koreans with suspected OSA using cephalometric and other variables. These results will contribute to prioritizing the order in which patients with suspected OSA are referred for polysomnography.
PURPOSE: This study developed formulas to predict obstructive sleep apnea (OSA) and the Apnea-Hypopnea Index (AHI) in Korean patients with suspected OSA using clinical, anthropometric, and cephalometric variables. METHODS: We evaluated relevant variables in 285 subjects with suspected OSA. These included demographic characteristics, sleep-related symptoms, medical history, clinical scales, anthropometric measurements including facial surface measurements, and cephalometric measurements. All participants underwent full-night laboratory polysomnography. The prediction formula for the probability of OSA was created by logistic regression analysis and confirmed by the bootstrap resampling technique. The formula for predicting the AHI was developed using multiple linear regression analysis. RESULTS: The probability of having OSA was as follows: p = 1 / (1 + exponential (exp)-f ), where f = -16.508 + 1.445 × loudness of snoring 4 + 0.485 × loudness of snoring 3 + 0.078 × waist circumference + 0.209 × subnasale-to-stomion distance + 0.183 × thickness of the uvula (UTH) supine + 0.041 × age. The AHI prediction formula was as follows: -112.606 + 3.516 × body mass index + 0.683 × mandibular plane-hyoid supine + 10.915 × loudness of snoring 4 + 6.933 × loudness of snoring 3 + 1.297 × UTH supine + 0.272 × age. CONCLUSION: This is the first study to establish formulas to predict OSA and the AHI in Koreans with suspected OSA using cephalometric and other variables. These results will contribute to prioritizing the order in which patients with suspected OSA are referred for polysomnography.
Authors: Gabriel Julià-Serdà; Gregorio Pérez-Peñate; Pedro Saavedra-Santana; Miguel Ponce-González; José Manuel Valencia-Gallardo; Raquel Rodríguez-Delgado; Pedro Cabrera-Navarro Journal: Sleep Breath Date: 2006-12 Impact factor: 2.816
Authors: Hyeon Hui Kang; Ji Young Kang; Jick Hwan Ha; Jongmin Lee; Sung Kyoung Kim; Hwa Sik Moon; Sang Haak Lee Journal: PLoS One Date: 2014-12-04 Impact factor: 3.240