Detection for pediatric obstructive sleep apnea syndrome: Role of objective and subjective measures

碩士 === 國立臺灣大學 === 流行病學與預防醫學研究所 === 102 === Background: Obstructive sleep apnea syndrome (OSAS) is an upper airway disorder. Over-night polysomnography is the “gold standard” for the diagnosis of pediatric OSAS. Information from objective and subjective measures for children with OSAS helps clinician...

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Main Authors: Kun-Tai Kang, 康焜泰
Other Authors: Yungling Leo Lee
Format: Others
Language:en_US
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/53463910845935537693
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spelling ndltd-TW-102NTU055440372016-03-09T04:24:22Z http://ndltd.ncl.edu.tw/handle/53463910845935537693 Detection for pediatric obstructive sleep apnea syndrome: Role of objective and subjective measures 以主觀及客觀臨床評估偵測兒童阻塞性睡眠呼吸中止 Kun-Tai Kang 康焜泰 碩士 國立臺灣大學 流行病學與預防醫學研究所 102 Background: Obstructive sleep apnea syndrome (OSAS) is an upper airway disorder. Over-night polysomnography is the “gold standard” for the diagnosis of pediatric OSAS. Information from objective and subjective measures for children with OSAS helps clinicians in decision making. Purpose: To assess diagnostic abilities of objective measures, subjective measures, and combined objective and subjective measures in detecting pediatric obstructive sleep apnea syndrome, and to compare performance difference and clinical utilities between objective measures, subjective measures, and combined objective and subjective measures for detection of pediatric OSAS. Study Design: Cross-sectional study. Methods: Children aged 2-18 years were recruited. Children were assessed objectively for tonsil size, adenoid size, and obesity; tonsils were graded by otolaryngologist using the scheme by Brodsky et al.; adenoid size was measured based on a lateral cephalometric radiographs (Fujioka method); obesity was determined by a measure of body mass index percentile of each child. Subjective measures for symptoms were recorded using a standard sheet. Objective measures significantly correlated with OSAS were put into the objective model, whereas subjective measures into the subjective model. Accordingly, objective and subjective measures significantly correlated with OSAS were served as the combined model. Diagnosis of OSAS was made by polysomnography. Diagnostic performances of models in detecting OSAS were analyzed by model fit, discrimination (C-index), calibration (Hosmer-Lemeshow test), and reclassification. The model was internal validated using the leave-one-out cross-validation, bootstrapping method, and k-fold cross-validation. Results: In total, 222 children were enrolled. Objective model included tonsil hypertrophy, adenoid hypertrophy, and obesity, whereas subjective model included snoring frequency, snoring duration, awaken, and breathing pause. The chi-square test was significant in the objective model, subjective model, and the combined model (P < 0.001). The C-index was 0.84 for the combined model, which was significantly differed from that in the objective model (0.78, P = 0.0032) and the subjective model (0.72, P = 0.0001). The Hosmer-Lemeshow test showed adequate fit (P > 0.05) for all models. Compared to objective model or subjective model, the combined model correctly reclassified 10.3% (P = 0.044) and 21.9% (P = 0.003) of all subjects. Internal validation of the combined model showed fair model performance and no obvious over-fitting. Conclusions: Overall performance of combined objective and subjective measures, as compared with objective measures or subjective measures alone, offer incremental utility in detecting OSAS. This finding provides the rationale to combine both objective and subjective measures in developing a screen tool for pediatric OSAS. Yungling Leo Lee 李永凌 2014 學位論文 ; thesis 84 en_US
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description 碩士 === 國立臺灣大學 === 流行病學與預防醫學研究所 === 102 === Background: Obstructive sleep apnea syndrome (OSAS) is an upper airway disorder. Over-night polysomnography is the “gold standard” for the diagnosis of pediatric OSAS. Information from objective and subjective measures for children with OSAS helps clinicians in decision making. Purpose: To assess diagnostic abilities of objective measures, subjective measures, and combined objective and subjective measures in detecting pediatric obstructive sleep apnea syndrome, and to compare performance difference and clinical utilities between objective measures, subjective measures, and combined objective and subjective measures for detection of pediatric OSAS. Study Design: Cross-sectional study. Methods: Children aged 2-18 years were recruited. Children were assessed objectively for tonsil size, adenoid size, and obesity; tonsils were graded by otolaryngologist using the scheme by Brodsky et al.; adenoid size was measured based on a lateral cephalometric radiographs (Fujioka method); obesity was determined by a measure of body mass index percentile of each child. Subjective measures for symptoms were recorded using a standard sheet. Objective measures significantly correlated with OSAS were put into the objective model, whereas subjective measures into the subjective model. Accordingly, objective and subjective measures significantly correlated with OSAS were served as the combined model. Diagnosis of OSAS was made by polysomnography. Diagnostic performances of models in detecting OSAS were analyzed by model fit, discrimination (C-index), calibration (Hosmer-Lemeshow test), and reclassification. The model was internal validated using the leave-one-out cross-validation, bootstrapping method, and k-fold cross-validation. Results: In total, 222 children were enrolled. Objective model included tonsil hypertrophy, adenoid hypertrophy, and obesity, whereas subjective model included snoring frequency, snoring duration, awaken, and breathing pause. The chi-square test was significant in the objective model, subjective model, and the combined model (P < 0.001). The C-index was 0.84 for the combined model, which was significantly differed from that in the objective model (0.78, P = 0.0032) and the subjective model (0.72, P = 0.0001). The Hosmer-Lemeshow test showed adequate fit (P > 0.05) for all models. Compared to objective model or subjective model, the combined model correctly reclassified 10.3% (P = 0.044) and 21.9% (P = 0.003) of all subjects. Internal validation of the combined model showed fair model performance and no obvious over-fitting. Conclusions: Overall performance of combined objective and subjective measures, as compared with objective measures or subjective measures alone, offer incremental utility in detecting OSAS. This finding provides the rationale to combine both objective and subjective measures in developing a screen tool for pediatric OSAS.
author2 Yungling Leo Lee
author_facet Yungling Leo Lee
Kun-Tai Kang
康焜泰
author Kun-Tai Kang
康焜泰
spellingShingle Kun-Tai Kang
康焜泰
Detection for pediatric obstructive sleep apnea syndrome: Role of objective and subjective measures
author_sort Kun-Tai Kang
title Detection for pediatric obstructive sleep apnea syndrome: Role of objective and subjective measures
title_short Detection for pediatric obstructive sleep apnea syndrome: Role of objective and subjective measures
title_full Detection for pediatric obstructive sleep apnea syndrome: Role of objective and subjective measures
title_fullStr Detection for pediatric obstructive sleep apnea syndrome: Role of objective and subjective measures
title_full_unstemmed Detection for pediatric obstructive sleep apnea syndrome: Role of objective and subjective measures
title_sort detection for pediatric obstructive sleep apnea syndrome: role of objective and subjective measures
publishDate 2014
url http://ndltd.ncl.edu.tw/handle/53463910845935537693
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