Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", Neuroscience Section, University of Salerno, Via Allende, 84131, Baronissi, SA, Italy.
Neurol Sci. 2022 Sep;43(9):5251-5258. doi: 10.1007/s10072-022-06129-1. Epub 2022 May 30.
The Fist-Palm Test (FiPaT) is a novel non-verbal task to be used at the patient's bedside for a cognitive functions screening. The aims of this study are to analyze (I) the qualitative and quantitative performance features at FiPaT, (II) the psychometric characteristics of FiPaT, and (III) the correlation between FiPat and traditional cognitive assessments in subjects with normal cognition (NC), Mild Cognitive Impairment-single domain (MCI-sd), and Mild Cognitive Impairment-multiple domain (MCI-md).
One hundred-thirteen subjects (53M/60F), with a mean age of 66.28 ± 7.22 years and 11.08 ± 4.93 years of education, were recruited and underwent a complete neuropsychological battery and FiPaT.
We found 68 subjects with NC, 31 with MCI-sd, and 14 with MCI-md and a high reliability of the FiPaT (alpha =0.762). The number of FiPaT errors correlated with age and all neuropsychological tests, except for the memory recall test. Subjects with MCI had greater FiPaT errors than subjects with NC. The FiPaT, used with the MOCA test, predicted the presence of MCI, with a variance of 44%.
The FiPaT is an acceptable and reliable non-verbal test, able to screen for global cognitive status, attention, and executive functions, and to predict the MCI. Future studies will validate this initial findings as well as the discriminatory role of the FiPaT in detecting specific types of cognitive impairment.
手掌测试（FiPaT）是一种新颖的非言语任务，可在患者床边进行认知功能筛查。本研究的目的是分析（I）FiPaT 的定性和定量表现特征，（II）FiPaT 的心理测量学特征，以及（III）在认知正常（NC）、单一域轻度认知障碍（MCI-sd）和多域轻度认知障碍（MCI-md）受试者中 FiPat 与传统认知评估之间的相关性。
招募了 113 名受试者（53 名男性/60 名女性），平均年龄为 66.28±7.22 岁，平均受教育年限为 11.08±4.93 年，他们接受了完整的神经心理学测试和 FiPaT。
我们发现 68 名受试者为 NC，31 名受试者为 MCI-sd，14 名受试者为 MCI-md，FiPaT 的可靠性较高（alpha=0.762）。FiPaT 的错误数与年龄和所有神经心理学测试相关，除了记忆回忆测试。MCI 患者的 FiPaT 错误数多于 NC 患者。FiPaT 与 MOCA 测试一起使用，可以预测 MCI 的存在，其方差为 44%。
FiPaT 是一种可接受且可靠的非言语测试，能够筛查整体认知状态、注意力和执行功能，并预测 MCI。未来的研究将验证这些初步发现以及 FiPaT 在检测特定类型认知障碍方面的区分作用。
