a National Institute of Mental Health , Klecany , Czech Republic.
b Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine and General University Hospital in Prague , Charles University , Prague , Czech Republic.
Clin Neuropsychol. 2017 Jan-Dec;31(sup1):42-60. doi: 10.1080/13854046.2017.1324045. Epub 2017 May 23.
The influence of demographic variables on the Trail Making Test (TMT) performance in older individuals and empirical findings on clinical validity in predementia states, such as Parkinson's disease mild cognitive impairment (PD-MCI), are limited. The principal aim of this study was to add normative data for the Czech population of older adults and explore the clinimetric properties between PD-MCI and PD patients with normal cognition (PD-NC).
The study included 125 PD patients classified as 77 PD-MCI and 48 PD-NC and 528 older individuals (60-74 years, further subdivided for normative tables into 60-64, 65-69 and 70-74 age groups) and very old individuals (aged 75-96, further subdivided into 75-79, 80-84, 85-96) cognitively intact Czech adults.
Mostly age, to a lesser extent education but not gender, was associated with most TMT basic and derived indices (TMT-B - A). However, the ratio of TMT-B/TMT-A was independent of both age and education. We provide corresponding T-scores that minimize the effect of demographic variables. The results showed a high discriminative validity of TMT basic and derived indices for the differentiation of PD-MCI from PD-NC (all p < .05). The classification accuracy for the differentiation of PD-MCI from controls was optimal for the TMT-B only (80% area under the curve) based on norm adjusted scores. The classification accuracy of the TMT for PD-MCI vs. PD-NC was suboptimal.
The cut-offs and normative standards are useful in clinical practice for those working with PD patients and very old adults.
人口统计学变量对 Trail Making Test(TMT)在老年人中的表现的影响,以及在痴呆前状态(如帕金森病轻度认知障碍[PD-MCI])中的临床有效性的实证研究结果有限。本研究的主要目的是为捷克老年人群体提供 TMT 的正常数据,并探索 PD-MCI 与认知正常的 PD 患者(PD-NC)之间的临床计量学特性。
该研究纳入了 125 名 PD 患者,分为 77 名 PD-MCI 和 48 名 PD-NC,以及 528 名认知正常的年龄在 60-74 岁的捷克老年人(进一步分为 60-64、65-69 和 70-74 岁年龄组)和认知正常的非常老年人(年龄在 75-96 岁,进一步分为 75-79、80-84 和 85-96 岁年龄组)。
主要是年龄,在较小程度上是教育程度,但不是性别,与大多数 TMT 基本和衍生指标(TMT-B-A)相关。然而,TMT-B/TMT-A 的比值与年龄和教育程度均无关。我们提供了相应的 T 分数,这些分数最小化了人口统计学变量的影响。结果表明,TMT 基本和衍生指标对于区分 PD-MCI 与 PD-NC 具有很高的判别效度(所有 p<0.05)。基于正常调整后的分数,TMT-B 仅用于区分 PD-MCI 与对照组的分类准确性最佳(曲线下面积为 80%)。TMT 用于区分 PD-MCI 与 PD-NC 的分类准确性欠佳。
对于与 PD 患者和非常老年人打交道的临床医生来说,这些 TMT 的截断值和标准值在临床实践中是有用的。