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[轻度认知障碍患者中阿尔茨海默病评估量表认知子量表(ADAS-Cog)匈牙利语版本的验证]

[Validation of the Hungarian version of Alzheimer's Disease Assessment Scale-Cognitive Subscale (ADAS-Cog) in patients with mild cognitive impairment].

作者信息

Papp Edina, Pákáski Magdolna, Drótos Gergely, Kálmán János

机构信息

Szegedi Tudomanyegyetem Altalanos Orvostudomanyi Kar, Pszichiatriai Klinika, Alzheimer-kor Kutatocsoport, Szeged, Hungary.

出版信息

Psychiatr Hung. 2012;27(6):426-34.

Abstract

INTRODUCTION

Early recognition of mild cognitive impairment (MCI) has increasing clinical relevance in the treatment process of dementia, since it is considered as prodromal period. A great variety of instruments have been developed for measuring cognitive performance of the demented patients. The cognitive subscale of the Alzheimer's Disease Assessment Scale (ADAS-Cog) is one of the most frequently applied instrument to determine the severity of dementia and the efficiency of pharmacotherapy. The aim of this study is to examine the sensitivity parameters of the Hungarian ADAS-Cog in differentiating healthy elderly from MCI patients, furthermore to compare the sociodemographic data of the two groups.

METHODS

Fourty-five patients with MCI and 47 healthy subjects (HS) participated in the study. Their age variated between 52 and 88 years, the mean age was 68.8 (standard deviation=8.6). The mean of the years of education was 11.8 (standard deviation=3.5). Mental state was determined by ADAS-Cog and Mini-Mental State Examination (MMSE) and Beck Depression Inventory (BDI) was used to exclude depression. Data analysis was performed with SPSS 17.

RESULTS

There were no significant differences between the two groups considering the sociodemographic data. The total score of ADAS-Cog is the most sensitive index (AUC: 0.875, sensitivity: 95.6%) for determining MCI, although the ratio of false positive cases was very high (specificity: 70.2%). The cut-off scores of the ADAS-Cog in the Hungarian sample were higher than the findings in previous researches. Positive correlation between age and ADAS-Cog total score was only significant in the HS group. On the other hand, negative correlation was found between education and ADAS-Cog total score in the MCI group.

CONCLUSION

These results indicate that the currently used Hungarian ADAS-Cog is able to distinguish between MCI patients and HS groups. However, the adaptation of the Hungarian version will be necessary during the further standardization process including the cultural and linguistic aspects.

摘要

引言

由于轻度认知障碍(MCI)被视为痴呆的前驱期,因此在痴呆治疗过程中对其进行早期识别具有越来越重要的临床意义。已经开发了各种各样的工具来测量痴呆患者的认知表现。阿尔茨海默病评估量表认知分量表(ADAS-Cog)是用于确定痴呆严重程度和药物治疗效果的最常用工具之一。本研究的目的是检验匈牙利版ADAS-Cog在区分健康老年人和MCI患者方面的敏感性参数,并比较两组的社会人口学数据。

方法

45例MCI患者和47名健康受试者(HS)参与了本研究。他们的年龄在52至88岁之间,平均年龄为68.8岁(标准差 = 8.6)。平均受教育年限为11.8年(标准差 = 3.5)。通过ADAS-Cog和简易精神状态检查表(MMSE)确定精神状态,并使用贝克抑郁量表(BDI)排除抑郁症。使用SPSS 17进行数据分析。

结果

考虑社会人口学数据时,两组之间没有显著差异。ADAS-Cog总分是确定MCI最敏感的指标(曲线下面积:0.875,敏感性:95.6%),尽管假阳性病例的比例非常高(特异性:70.2%)。匈牙利样本中ADAS-Cog的临界值高于先前研究的结果。年龄与ADAS-Cog总分之间的正相关仅在HS组中显著。另一方面,在MCI组中发现教育程度与ADAS-Cog总分之间存在负相关。

结论

这些结果表明,目前使用的匈牙利版ADAS-Cog能够区分MCI患者和HS组。然而,在包括文化和语言方面的进一步标准化过程中,有必要对匈牙利版进行调整。

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