Multivariate models of determinants of health-related quality of life in severe chronic obstructive pulmonary disease

重度慢性阻塞性肺疾病患者健康相关生活质量决定因素的多变量模型

阅读:1

Abstract

Persons with severe chronic obstructive pulmonary disease (COPD) and similar levels of forced expiratory volume in 1 second (FEV(1)), exercise capacity, and dyspnea have a wide range of health-related quality of life (HRQL). We identified the independent determinants of HRQL in persons with COPD. Comprehensive assessments of physiological, psychosocial, and clinical variables from the National Emphysema Treatment Trial were used. HRQL was assessed by the Medical Outcomes Study 36-Item Short Form Physical Component Summary (PCS) and Mental Component Summary (MCS) scores and the St. George's Respiratory Questionnaire total score (SGRQ-TS). In multivariate linear regression models, exercise capacity, dyspnea, age, single-breath diffusing capacity of the lung for carbon monoxide percent predicted, and self-report of being disabled were significant determinants of PCS score. Dyspnea, depression, antidepressant use, daytime sleepiness, and education were significant determinants of MCS score. Prior participation in pulmonary rehabilitation, supplemental oxygen use, and oral corticosteroid use were significant determinants of SGRQ-TS. Although FEV(1), 6-minute walk test distance, and dyspnea significantly correlated with HRQL, their effects on HRQL were reduced when other variables were considered. Greater exercise capacity, prior participation in pulmonary rehabilitation, and use of supplemental oxygen were significantly associated with better HRQL. Self-perception of being disabled, (Abstract continued) depression, dyspnea, oral corticosteroid use, and daytime sleepiness were associated with worse HRQL. To optimize HRQL, clinicians should pay attention to a number of clinical and physiological factors.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。