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    政大機構典藏 > 理學院 > 心理學系 > 期刊論文 >  Item 140.119/76023
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/76023


    Title: A two-tier screening model using quality-of-life measures and pulse oximetry to screen adults with sleep-disordered breathing
    Authors: Chen, N.-H.;Chen, M.-C.;Li, H.-Y.;Chen, Chang-Wei;Wang, P.-C.
    陳昌偉
    Contributors: 心理系
    Keywords: adult;aged;article;Epworth sleepiness scale;female;human;major clinical study;male;measurement;polysomnography;priority journal;pulse oximetry;quality of life;respiratory disturbance index;scoring system;screening;sensitivity and specificity;sleep disordered breathing;snore outcomes survey score;Adolescent;Adult;Aged;Aged, 80 and over;Cross-Cultural Comparison;Decision Support Techniques;Female;Humans;Male;Mass Screening;Middle Aged;Oximetry;Polysomnography;Quality of Life;Questionnaires;Reproducibility of Results;Retrospective Studies;ROC Curve;Sleep Apnea Syndromes;Taiwan;Young Adult
    Date: 2011-09
    Issue Date: 2015-06-22 15:45:48 (UTC+8)
    Abstract: Purpose: Using quality-of-life measures and pulse oximetry, this study developed a two-tiered prediction algorithm with an aim to prioritize sleep-disordered breathing patients for polysomnography. Methods: Data from 355 patients were evaluated to obtain their clinical information, Chinese version of Epworth sleepiness scale, and snore outcomes survey scores against respiratory disturbance index (RDI). In the first-tier screening, receiver-operating characteristics were calculated with an initial strategy of choosing optimal prediction sensitivity. The second-tier strategy investigated the association between pulse oximetry data (desaturation index of 3%) against RDI to optimize prediction specificity. Results: The &quot;SOS score of 55 and ESS score of 9&quot; was the optimal combination that yielded the highest sensitivity (0.603) in the first-tier screening. The strategy can includ 94.93% possible patients (probability = 0.6) with positive predictive value of 0.997. The area under the curve (AUC) was 0.88 (p < 0.001). Desaturation index of 3% would optimized specificity (0.966, probability = 0.5) in the second-tier screening to exclude 54% of innocent patients, with negative predictive values of 0.93 and AUC of 0.951 (p < 0.001). The two-tier screening model jointly excluded 4.8% of innocent subjects and prioritized 40% of severe patients for polysomnography. Conclusions: The prediction model is sufficiently accurate and feasible for large-scale population screening. © 2010 Springer-Verlag.
    Relation: Sleep and Breathing, 15(3), 447-454
    Data Type: article
    DOI 連結: http://dx.doi.org/10.1007/s11325-010-0356-1
    DOI: 10.1007/s11325-010-0356-1
    Appears in Collections:[心理學系] 期刊論文

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