Improving Amnesia Diagnostic Accuracy with RAVLT Single Scores and Composite Indices: Italian Normative Data.

Monica Ricci, Massimiliano Ruggeri, Cristina Gnisci, Luca Pizzoni, Carmela Gerace, Carlo Blundo
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引用次数: 3

Abstract

Objective: The Rey Auditory Verbal Learning Test (RAVLT) is a widely used verbal memory measure that provides scores for different aspects of memory. It involves repeated auditory presentation and recall of a 15-item word list (List A) followed by presentation and recall of a distractor list (List B) and then un-cued immediate and delayed recalls (at 15 min and 1 week) of List A as well as recognition testing. Aims of this study are to provide Italian normative data for certain RAVLT Scores and Composite Indices to improve the diagnostic accuracy of the test in clinical settings and to provide further evidence on how RAVLT can differentiate different amnesia profiles due to focal lesions.

Methods: We enrolled 440 healthy participants and RAVLT Single Scores and Composite Indices have been analyzed by means of multiple regression to verify the influence of age, education, and gender.

Results: We computed the best linear models with RAVLT Single Scores and Composite Indices, as dependent variables, and the most suitable transformation of independent variables. By reversing the signs of the regression coefficients, the adjustment factors for each level of age and, if needed, education and gender have been computed and the adjusted scores have been standardized into Equivalent Scores.

Conclusion: Using these standardized measures, we differentiate three profiles of amnesia due to selective hippocampal sclerosis with severe encoding deficit, fornix lesions with source memory problems, and temporal lobe epilepsy with consolidation failure.

用RAVLT单项评分和综合指数提高失忆症诊断准确性:意大利标准数据。
目的:雷伊听觉言语学习测试(RAVLT)是一种广泛使用的言语记忆测试,它提供了记忆的不同方面的分数。它包括重复的听觉呈现和回忆一个包含15个单词的列表(列表a),然后是一个分心列表(列表B)的呈现和回忆,然后是列表a的无线索即时和延迟回忆(15分钟和1周)以及识别测试。本研究的目的是为某些RAVLT评分和综合指数提供意大利的规范性数据,以提高该测试在临床环境中的诊断准确性,并为RAVLT如何区分局灶性病变引起的不同健忘症提供进一步的证据。方法:选取440名健康受试者,采用多元回归分析RAVLT单项评分和综合指数,验证年龄、文化程度和性别对RAVLT评分的影响。结果:以RAVLT单项评分和综合指数为因变量,计算出最佳线性模型和最合适的自变量转换。通过反转回归系数的符号,计算出每个年龄水平的调整因子,如果需要,还计算出教育程度和性别水平的调整因子,并将调整后的分数标准化为等效分数。结论:使用这些标准化的测量方法,我们区分了三种类型的失忆症:选择性海马硬化伴严重编码缺陷、穹窿病变伴源记忆问题、颞叶癫痫伴巩固失败。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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