政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/76023
English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  全文笔数/总笔数 : 109952/140891 (78%)
造访人次 : 46260462      在线人数 : 660
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 查询小技巧：
  • 您可在西文检索词汇前后加上"双引号"，以获取较精准的检索结果
  • 若欲以作者姓名搜寻，建议至进阶搜寻限定作者字段，可获得较完整数据
    •  进阶搜寻
    政大機構典藏 > 理學院 > 心理學系 > 期刊論文 >  Item 140.119/76023


    请使用永久网址来引用或连结此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/76023


    题名: A two-tier screening model using quality-of-life measures and pulse oximetry to screen adults with sleep-disordered breathing
    作者: Chen, N.-H.;Chen, M.-C.;Li, H.-Y.;Chen, Chang-Wei;Wang, P.-C.
    陳昌偉
    贡献者: 心理系
    关键词: 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
    日期: 2011-09
    上传时间: 2015-06-22 15:45:48 (UTC+8)
    摘要: 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.
    關聯: Sleep and Breathing, 15(3), 447-454
    数据类型: article
    DOI 連結: http://dx.doi.org/10.1007/s11325-010-0356-1
    DOI: 10.1007/s11325-010-0356-1
    显示于类别:[心理學系] 期刊論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    447-454.pdf163KbAdobe PDF2826检视/开启


    在政大典藏中所有的数据项都受到原著作权保护.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回馈