ABSTRACT

The current study aimed to define and validate the criteria for characterizing possible and probable cognitive deficits based on the psychometric approach using the Uniform data set Czech version (UDS-CZ 2.0) to reduce the rate of misdiagnosis. We computed the prevalence of low scores on the 14 subtests of UDS-CZ 2.0 in a normative sample of healthy older adults and validated criteria for possible and probable cognitive impairment on the sample of amnestic Mild Cognitive Impairment (MCI) patients. The misclassification rate of the validation sample using psychometrically derived criteria remained low: for classification as possible impairment, we found 66–76% correct classification in the clinical sample and only 2–8% false positives in the healthy control validation sample, similar results were obtained for probable cognitive impairment. Our findings offer a psychometric approach and a computational tool to minimize the misdiagnosis of mild cognitive impairment compared to traditional criteria for MCI.

摘要

目前的研究旨在定义和验证描述可能和很可能的特征的标准基于心理测量方法的认知缺陷使用统一数据集捷克语版本（UDS-CZ 2.0）来降低误诊率。我们计算了健康老年人规范样本中 UDS-CZ 2.0 的 14 个子测验的低分流行率，并验证了遗忘性轻度认知障碍 (MCI) 患者样本中可能和很可能认知障碍的标准。使用心理测量法得出的标准对验证样本的错误分类率仍然很低：对于可能的损伤分类，我们发现临床样本中有 66-76% 的正确分类，而健​​康对照验证样本中只有 2-8% 的假阳性，类似的结果是获得可能的认知障碍。