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Depressive status explains a significant amount of the variance in COPD assessment test (CAT) scores

机译:抑郁状态解释了COPD评估测试(CAT)分数的显着差异

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Background: COPD assessment test (CAT) is a short, easy-to-complete health status tool that has been incorporated into the multidimensional assessment of COPD in order to guide therapy; therefore, it is important to understand the factors determining CAT scores. Methods: This is a post hoc analysis of a cross-sectional, observational study conducted in respiratory medicine departments and primary care centers in Spain with the aim of identifying the factors determining CAT scores, focusing particularly on the cognitive status measured by the Mini-Mental State Examination (MMSE) and levels of depression measured by the short Beck Depression Inventory (BDI). Results: A total of 684 COPD patients were analyzed; 84.1% were men, the mean age of patients was 68.7 years, and the mean forced expiratory volume in 1 second (%) was 55.1%. Mean CAT score was 21.8. CAT scores correlated with the MMSE score (Pearson’s coefficient r =-0.371) and the BDI ( r =0.620), both p <0.001. In the multivariate analysis, the usual COPD severity variables (age, dyspnea, lung function, and comorbidity) together with MMSE and BDI scores were significantly associated with CAT scores and explained 45% of the variability. However, a model including only MMSE and BDI scores explained up to 40% and BDI alone explained 38% of the CAT variance. Conclusion: CAT scores are associated with clinical variables of severity of COPD. However, cognitive status and, in particular, the level of depression explain a larger percentage of the variance in the CAT scores than the usual COPD clinical severity variables.
机译:背景:COPD评估测试(CAT)是一种简短,易于完成的健康状况工具,已纳入COPD的多维评估中以指导治疗;因此,了解决定CAT分数的因素很重要。方法:这是对西班牙呼吸内科和初级保健中心进行的一项横断面,观察性研究的事后分析,目的是确定决定CAT评分的因素,特别是Mini-Mental测量的认知状态通过简短的贝克抑郁量表(BDI)测量状态检查(MMSE)和抑郁水平。结果:共分析了684例COPD患者。男性为84.1%,患者平均年龄为68.7岁,平均1秒强迫通气量(%)为55.1%。 CAT平均得分为21.8。 CAT分数与MMSE分数(皮尔森系数r = -0.371)和BDI相关(r = 0.620),两者均p <0.001。在多变量分析中,通常的COPD严重程度变量(年龄,呼吸困难,肺功能和合并症)以及MMSE和BDI评分与CAT评分显着相关,并解释了45%的变异性。但是,仅包含MMSE和BDI分数的模型最多可以解释40%,而仅BDI可以解释CAT方差的38%。结论:CAT评分与COPD严重程度的临床变量有关。但是,与通常的COPD临床严重程度变量相比,认知状态(尤其是抑郁水平)解释了CAT得分方差的更大百分比。

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