测量酒精相关认知障碍患者的偶发言语学习能力与日常功能的关系

Willem S. Eikelboom , William F. Goette , Yvonne C.M. Rensen , Jurriaan C. van Nuland , Gwenny T.L. Janssen , Roy P.C. Kessels
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引用次数: 0

摘要

对酒精相关认知障碍患者的学习能力进行充分、及时的评估,对于优化成瘾治疗具有重要意义。历时性言语记忆测试的学习曲线已被用于评估各种神经认知障碍的学习能力,但缺乏对酒精相关认知障碍的研究。因此,本研究调查了有认知障碍和无认知障碍的酒精使用障碍(AUD)患者的加州言语学习测试(CVLT)学习曲线,并考察了学习曲线与多成分护理计划后日常功能变化之间的关联。我们采用广义非线性混合回归法,拟合了科萨科夫综合征(KS;N = 117)、无 KS 的酒精相关认知障碍(ARCI;N = 147)和无并发症的 AUD(N = 43)患者在荷兰语版 CVLT 的五次即时回忆试验中的学习曲线。该模型基于三个不同的参数:初始记忆表现(注意力)、正确回忆单词的最大数量(最大学习量)和正确回忆单词在试验中的增加量(学习率)。接下来,我们将这些学习曲线与入院后接受护理计划前后使用患者能力评定量表(PCRS)进行的日常活动评分联系起来。建模的学习曲线在各组间存在差异,其中注意力(KS<ARCI<AUD,p <0.001)、最大学习量(KS<ARCI<AUD,p <0.001)和学习率(KS<ARCI=AUD,p <0.001)差异显著。然而,模拟学习曲线与 PCRS 分数的可靠提高无关(p>0.05)。尽管模拟学习曲线可用于区分酒精相关认知障碍的诊断组别,但仍需今后的研究来确定学习曲线在这一人群中的标准有效性。
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Measuring episodic verbal learning ability in alcohol-related cognitive disorders in relation to everyday functioning

Adequate and timely assessment of learning abilities in individuals with alcohol-related cognitive disorders is highly relevant to optimize addiction care. Learning curves of episodic verbal memory tests have been used to assess learning ability in various neurocognitive disorders, but studies in alcohol-related cognitive disorders are lacking. Therefore, this study investigated California Verbal Learning Test (CVLT) learning curves in individuals with alcohol-use disorder (AUD) with and without cognitive impairments and examined associations between learning curves and changes in everyday functioning following a multicomponent care program. We fitted learning curves over the five immediate recall trials of the Dutch version of the CVLT of patients with Korsakoff's syndrome (KS; N = 117), alcohol-related cognitive impairment no KS (ARCI; N = 147), and uncomplicated AUD (N = 43) using a generalized non-linear mixed regression. This model was based on three different parameters: initial memory performance (attention), maximum number of correctly recalled words (maximum learning), and the increase of correctly recalled words over the trials (learning rate). Next, we related these learning curves with ratings of everyday activities using the Patient Competency Rating Scale (PCRS) before and after a care program following admission. Modelled learning curves differed across groups, with significant differences in Attention (KS<ARCI<AUD, p < 0.001), Maximum Learning (KS<ARCI<AUD, p<0.001), and Learning Rate (KS<ARCI=AUD, p < 0.001). However, modelled learning curves were not related to reliable improvement in PCRS scores (p>0.05). Although modelled learning curves may be used to differentiate diagnostic groups in alcohol-related cognitive disorders, future studies are needed to establish the criterion validity of learning curves in this population.

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来源期刊
Addiction neuroscience
Addiction neuroscience Neuroscience (General)
CiteScore
1.30
自引率
0.00%
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0
审稿时长
118 days
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