4.3 Article

Does pattern recognition software using the Bahr monitor improve the sensitivity, specificity, and concordance of ambulatory skin conductance monitoring of hot flushes?

出版社

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/gme.0b013e3182894f6d

关键词

Hot flushes; Pattern recognition; MENOS; Cognitive-behavioral therapy; Sternal skin conductance; Concordance

资金

  1. Cancer Research UK
  2. National Institute for Health Research Biomedical Research Center for Mental Health
  3. South London and Maudsley NHS Foundation Trust
  4. Institute of Psychiatry, King's College London

向作者/读者索取更多资源

Objective: The aim of this study was to validate the performance of a new pattern recognition method for quantifying physiological hot flushes against conventional fixed criterion methods and to explore its suitability for use in ambulatory clinical trials. Methods: This study performed a secondary analysis of baseline and outcome sternal skin conductance monitoring data from two recent randomized controlled trials of cognitive-behavioral therapy (CBT) for hot flushes in breast cancer patients (MENOS1) and healthy peri- and postmenopausal women (MENOS2) using a revised pattern recognition method (Bahr monitor; software version 1.1.6). Sensitivity and specificity were recalculated and compared with previous findings, based on conventional criteria, using monitor-defined flushes as gold standard and combined baseline data. Outcome data for physiologically measured flushes between the CBT group and the treatment-as-usual group were separately reexamined using the revised method for each trial. Results: Pattern recognition showed higher concordance (36%), sensitivity (0.64), and specificity (0.99) than the standard method. Hot flushes recorded during the day showed slightly higher concordance (39%) and fewer false-negatives than 24-hour recordings. Based on the revised method, well women randomized to CBT (MENOS2) had significantly fewer flushes than those randomized to treatment as usual at posttreatment (P < 0.04), but CBT did not impact on physiologically measured hot flushes for breast cancer patients (MENOS1). Conclusions: Pattern recognition can identify flushes more reliably by detecting the shape of physiological signals rather than by relying solely on the amplitude of their signals (as used in conventional criteria). With application of the revised method, ambulatory sternal skin conductance monitoring detects changes after a CBT intervention in well women but not in breast cancer survivors.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.3
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据