Department of Psychology, Western State Hospital, Tacoma, Washington, USA.
J Int Neuropsychol Soc. 2010 Jan;16(1):6-16. doi: 10.1017/S1355617709990750. Epub 2009 Oct 2.
The Minimal Assessment of Cognitive Function in Multiple Sclerosis (MACFIMS) is a consensus neuropsychological battery with established reliability and validity. One of the difficulties in implementing the MACFIMS in clinical settings is the reliance on manualized norms from disparate sources. In this study, we derived regression-based norms for the MACFIMS, using a unique data set to control for standard demographic variables (i.e., age, age2, sex, education). Multiple sclerosis (MS) patients (n = 395) and healthy volunteers (n = 100) did not differ in age, level of education, sex, or race. Multiple regression analyses were conducted on the performance of the healthy adults, and the resulting models were used to predict MS performance on the MACFIMS battery. This regression-based approach identified higher rates of impairment than manualized norms for many of the MACFIMS measures. These findings suggest that there are advantages to developing new norms from a single sample using the regression-based approach. We conclude that the regression-based norms presented here provide a valid alternative to identifying cognitive impairment as measured by the MACFIMS.
多发性硬化症的最小认知功能评估 (MACFIMS) 是一套共识性神经心理学测验，具有可靠的信度和效度。在临床环境中实施 MACFIMS 的困难之一是依赖于来自不同来源的手动化规范。在这项研究中，我们使用独特的数据集得出了基于回归的 MACFIMS 规范，以控制标准人口统计学变量（即年龄、年龄平方、性别、教育）。多发性硬化症 (MS) 患者 (n = 395) 和健康志愿者 (n = 100) 在年龄、教育程度、性别或种族方面没有差异。对健康成年人的表现进行了多元回归分析，并使用得出的模型来预测 MS 在 MACFIMS 电池上的表现。这种基于回归的方法确定了比手动化规范更高的 MACFIMS 许多指标的损伤率。这些发现表明，使用基于回归的方法从单个样本中开发新规范具有优势。我们得出的结论是，这里提出的基于回归的规范为识别 MACFIMS 测量的认知障碍提供了一种有效的替代方法。
