Consensus statement on the neurocognitive outcomes for early detection of mild cognitive impairment and Alzheimer dementia from the Chinese Neuropsychological Normative (CN-NORM) Project

Wang, Huali; Fan, Zhipeng; Shi, Chuan; Xiong, Lingchuan; Zhang, Haifeng; Li, Tao; Sun, Ying; Guo, Qihao; Tian, Yanghua; Qu, Qiumin; Zhang, Nan; Zhang, Cheng; Wu, Liyong; Wu, Dongrui; Han, Zaizhu; Tian, Jinzhou; Xie, Hui; Tan, Shuping; Gao, Jingfang; Luo, Benyan; Pan, Xiaoping; Peng, Guoping; Qin, Bin; Tang, Yi; Wang, Kai; Wang, Tao; Zhang, Junjian; Zhao, Qianhua; Gauthier, Serge; Yu, Xinguang

doi:10.7189/jogh.09.020320

Cited by 19 publications

(19 citation statements)

References 61 publications

(55 reference statements)

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“…Previous research has shown that clinicians have a tendency to choose one assessment over another due to their familiarity with the assessment, time constraints, or specific resources available to them within their clinic (30), but clinicians need to be aware of, and prepared to use, the most patient-appropriate assessments: the cultural, educational, and linguistic needs of the patient are important considerations (30,36,(56)(57)(58). Some assessments have been translated into different languages or shortened, or have education-adjusted scoring classifications, where required (56)(57)(58).…”

Section: Cognitive Assessmentsmentioning

confidence: 99%

Diagnosis of Early Alzheimer’s Disease: Clinical Practice in 2021

et al. 2021

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Alzheimer’s disease is a progressive, irreversible neurodegenerative disease impacting cognition, function, and behavior. Alzheimer’s disease progresses along a continuum from preclinical disease, to mild cognitive and/or behavioral impairment and then Alzheimer’s disease dementia. Recently, clinicians have been encouraged to diagnose Alzheimer’s earlier, before patients have progressed to Alzheimer’s disease dementia. The early and accurate detection of Alzheimer’s disease-associated symptoms and underlying disease pathology by clinicians is fundamental for the screening, diagnosis, and subsequent management of Alzheimer’s disease patients. It also enables patients and their caregivers to plan for the future and make appropriate lifestyle changes that could help maintain their quality of life for longer. Unfortunately, detecting early-stage Alzheimer’s disease in clinical practice can be challenging and is hindered by several barriers including constraints on clinicians’ time, difficulty accurately diagnosing Alzheimer’s pathology, and that patients and healthcare providers often dismiss symptoms as part of the normal aging process. As the prevalence of this disease continues to grow, the current model for Alzheimer’s disease diagnosis and patient management will need to evolve to integrate care across clinical disciplines and the disease continuum, beginning with primary care. This review summarizes the importance of establishing an early diagnosis of Alzheimer’s disease, related practical ‘how-to’ guidance and considerations, and tools that can be used by healthcare providers throughout the diagnostic journey.

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Section: Cognitive Assessmentsmentioning

confidence: 99%

Diagnosis of Early Alzheimer’s Disease: Clinical Practice in 2021

et al. 2021

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“…Attempts to solve this problem through the harmonization of instruments have been pursued, for example, in the USA [25,26], China [24], and Australia [3]. In Europe, the need for a similar initiative was acknowledged in a consensus conference which recommended as a possible solution the multilingual adaptation of the Neuropsychological Test Battery of the Uniform Data Set (UDSNB) [4].…”

Section: Introductionmentioning

confidence: 99%

Italian adaptation of the Uniform Data Set Neuropsychological Test Battery (I-UDSNB 1.0): development and normative data

Conca¹,

Esposito²,

Rundo

et al. 2022

Alz Res Therapy

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Background Neuropsychological testing plays a cardinal role in the diagnosis and monitoring of Alzheimer’s disease. A major concern is represented by the heterogeneity of the neuropsychological batteries currently adopted in memory clinics and healthcare centers. The current study aimed to solve this issue. Methods Following the initiative of the University of Washington’s National Alzheimer’s Coordinating Center (NACC), we presented the Italian adaptation of the Neuropsychological Test Battery of the Uniform Data Set (I-UDSNB). We collected data from 433 healthy Italian individuals and employed regression models to evaluate the impact of demographic variables on the performance, deriving the reference norms. Results Higher education and lower age were associated with a better performance in the majority of tests, while sex affected only fluency tests and Digit Span Forward. Conclusions The I-UDSNB offers a valuable and harmonized tool for neuropsychological testing in Italy, to be used in clinical and research settings.

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“…A battery of comprehensive neuropsychological tests from the CN-NORM Consensus Battery (CNCB) was administered to assess memory, information processing speed, attention, executive function, language ability, and visuospatial function ( 37 ). In detail, memory was assessed by the Hopkins Verbal Learning Test-Revised (HVLT-R) and the logic memory subtest from the Wechsler Memory Scale-Revised for China (WMS-RC).…”

Section: Methodsmentioning

confidence: 99%

Heterogenous Subtypes of Late-Life Depression and Their Cognitive Patterns: A Latent Class Analysis

et al. 2022

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BackgroundLate-life depression (LLD), characterized by cognitive deficits, is considered heterogeneous across individuals. Previous studies have identified subtypes with diverse symptom profiles, but their cognitive patterns are unknown. This study aimed to investigate the subtypes of LLD and the cognitive profile of each group.MethodsIn total, 109 depressed older adults were enrolled. We performed latent class analysis using Geriatric Depression Scale items as indicators to generate latent classes. We compared the sociodemographic and clinical characteristics with cognitive functions between groups and conducted regression analysis to investigate the association between class membership and variables with significant differences.ResultsTwo classes were identified: the “pessimistic” group was characterized by pessimistic thoughts and the “worried” group with a relatively high prevalence of worry symptoms. The two groups did not differ in sociodemographic characteristics. The “pessimistic” group showed a higher rate of past history of depression and lower age of onset. The “worried” group had more physical comorbidities and a higher rate of past history of anxiety. The “pessimistic” group was more impaired in general cognitive function, executive function, information processing speed, and attention. Lower general and executive functions were associated with the membership in the “pessimistic” group.ConclusionsSubjects with pessimistic symptoms and subjects with a propensity to worry may form two distinct subtypes of late-life depression with different cognitive profiles. Further, the cognitive evaluation of subjects with pessimistic symptoms is of utmost importance.

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Consensus statement on the neurocognitive outcomes for early detection of mild cognitive impairment and Alzheimer dementia from the Chinese Neuropsychological Normative (CN-NORM) Project

Cited by 19 publications

References 61 publications

Diagnosis of Early Alzheimer’s Disease: Clinical Practice in 2021

Diagnosis of Early Alzheimer’s Disease: Clinical Practice in 2021

Italian adaptation of the Uniform Data Set Neuropsychological Test Battery (I-UDSNB 1.0): development and normative data

Heterogenous Subtypes of Late-Life Depression and Their Cognitive Patterns: A Latent Class Analysis

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