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采用最小临床重要差异法评估蒙哥马利-艾森伯格抑郁评定量表变化的临床相关性。

The clinical relevance of changes in the Montgomery-Asberg Depression Rating Scale using the minimum clinically important difference approach.

作者信息

Duru Gérard, Fantino Bruno

机构信息

CNRS (French National Center for Scientific Research), Université Claude Bernard Lyon I, France.

出版信息

Curr Med Res Opin. 2008 May;24(5):1329-35. doi: 10.1185/030079908x291958. Epub 2008 Mar 28.

Abstract

OBJECTIVE

To identify the minimal clinically important difference (MCID) for the Montgomery-Asberg Depression Rating Scale (MADRS) in randomised studies of depression, and to cross-validate the estimated MCID.

DESIGN AND METHODS

Placebo-treated patients from three similarly-designed, 8-week, double-blind, randomised depression trials with a stable health status between baseline and Week 1 ('no change' rating on the Clinical Global Impression-Improvement scale) were eligible. To calculate the MCID using the distribution-based approach, the standard deviation was estimated using baseline MADRS data while the reliability parameter was measured as the intraclass correlation coefficient between baseline and Week 1. For cross-validation, patients from an observational study were matched to identify the 'MCID change' (MADRS change from baseline to endpoint score plus the estimated MCID) and 'control' groups. Comparisons of clinical and health-related quality of life measures were performed.

RESULTS

In total, 177 placebo-treated patients were identified. MCID estimates for MADRS ranged from 1.6 to 1.9. A total of 105 matched pairs were identified for the cross-validation analyses. Mean change from baseline in MADRS scores (10.6 +/- 8.5 vs. 12.5 +/- 7.9, p = 0.038) and remission rates (71.6% vs. 57.1%, p < 0.05) significantly differed between the 'MCID change' and 'control' groups at endpoint. Numerically higher response rates and greater improvements in HRQoL scores in the 'MCID change' group were also found.

CONCLUSION

These preliminary findings support the value of the estimated MCID for the MADRS and may aid decision makers in evaluating antidepressant treatment effects and improving long-term patient outcomes.

摘要

目的

确定蒙哥马利-阿斯伯格抑郁评定量表(MADRS)在抑郁症随机研究中的最小临床重要差异(MCID),并对估计的MCID进行交叉验证。

设计与方法

选取来自三项设计相似、为期8周、双盲、随机抑郁症试验中接受安慰剂治疗的患者,这些患者在基线至第1周期间健康状况稳定(临床总体印象-改善量表评分为“无变化”)。为了使用基于分布的方法计算MCID,利用基线MADRS数据估计标准差,同时将可靠性参数测量为基线与第1周之间的组内相关系数。为了进行交叉验证,对来自一项观察性研究的患者进行匹配,以确定“MCID变化”(从基线到终点评分的MADRS变化加上估计的MCID)组和“对照组”。对临床和健康相关生活质量指标进行比较。

结果

共确定了177例接受安慰剂治疗的患者。MADRS的MCID估计值在1.6至1.9之间。共确定了105对匹配对用于交叉验证分析。终点时,“MCID变化”组和“对照组”之间MADRS评分的基线平均变化(10.6±8.5 vs. 12.5±7.9,p = 0.038)和缓解率(71.6% vs. 57.1%,p < 0.05)存在显著差异。在“MCID变化”组中,还发现数值上更高的缓解率和HRQoL评分有更大改善。

结论

这些初步研究结果支持了MADRS估计的MCID的价值,并可能有助于决策者评估抗抑郁治疗效果和改善患者长期预后。

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