Hendrikx Jos, Fransen Jaap, Kievit Wietske, van Riel Piet L C M
Department of Rheumatology (470), Radboud University Medical Center, PO Box 9101, 6500 HB, Nijmegen, The Netherlands,
Qual Life Res. 2015 Mar;24(3):607-16. doi: 10.1007/s11136-014-0809-2. Epub 2014 Sep 25.
In daily practice, physicians translate knowledge from clinical trials to practice, to improve health in individual patients. To help interpret meaningful change on disease outcome measures, the concept of minimal important change (MIC) was conceived. The objective of this study was to investigate whether MIC values are suited for individual patient monitoring.
Three main elements of the MIC concept were evaluated: (1) MIC values for improvement and deterioration were determined, and the amount of misclassification present in quantifying minimal change was analyzed. (2) Discordance between change categories (improved, unchanged, deteriorated), defined by the MIC values, and patients' satisfaction with their health was inspected. (3) Discordance between change categories, defined by MIC values, and patients' willingness to alter therapy was inspected.
MIC value analysis was based on 469 patients with RA seen in daily practice. The chance of falsely classifying health change of an individual patient was high (false-positive range 19-30 % and false-negative range 43-72 %). Of patients classified as improved, 24 % were not satisfied with their health and 69 % were not willing to change therapy. Of patients classified as deteriorated, 54 % were satisfied with their health and 57 % were not willing to change therapy.
The misclassification in the quantification of change and high proportions of discordance between change categories defined by MIC cutoff values and patients' satisfaction and willingness to alter therapy indicate that MIC values as such are not suited for individual patient monitoring.
在日常医疗实践中,医生将临床试验中的知识转化为实际应用,以改善个体患者的健康状况。为了帮助解释疾病结局指标上有意义的变化,最小重要变化(MIC)的概念应运而生。本研究的目的是调查MIC值是否适用于个体患者监测。
对MIC概念的三个主要要素进行了评估:(1)确定改善和恶化的MIC值,并分析在量化最小变化时存在的错误分类量。(2)检查由MIC值定义的变化类别(改善、未改变、恶化)与患者对自身健康的满意度之间的不一致性。(3)检查由MIC值定义的变化类别与患者改变治疗的意愿之间的不一致性。
MIC值分析基于日常医疗实践中诊治的469例类风湿关节炎患者。对个体患者健康变化进行错误分类的可能性很高(假阳性范围为19%-30%,假阴性范围为43%-72%)。在被分类为改善的患者中,24%对自己的健康不满意,69%不愿意改变治疗。在被分类为恶化的患者中,54%对自己的健康满意,57%不愿意改变治疗。
变化量化中的错误分类以及由MIC临界值定义的变化类别与患者满意度和改变治疗意愿之间的高比例不一致表明,MIC值本身并不适用于个体患者监测。