Establishing normative data for the evaluation of cognitive performance in Huntington's disease considering the impact of gender, age, language, and education
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064165%3A_____%2F23%3A10466070" target="_blank" >RIV/00064165:_____/23:10466070 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11110/23:10466070
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=DVPGgyUYoV" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=DVPGgyUYoV</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s00415-023-11823-x" target="_blank" >10.1007/s00415-023-11823-x</a>
Alternative languages
Result language
angličtina
Original language name
Establishing normative data for the evaluation of cognitive performance in Huntington's disease considering the impact of gender, age, language, and education
Original language description
Background: A declining cognitive performance is a hallmark of Huntington's disease (HD). The neuropsychological battery of the Unified HD Rating Scale (UHDRS'99) is commonly used for assessing cognition. However, there is a need to identify and minimize the impact of confounding factors, such as language, gender, age, and education level on cognitive decline. Objectives: Aim is to provide appropriate, normative data to allow clinicians to identify disease-associated cognitive decline in diverse HD populations by compensating for the impact of confounding factors Methods: Sample data, N = 3267 (60.5% females; mean age of 46.9 years (SD = 14.61, range 18-86) of healthy controls were used to create a normative dataset. For each neuropsychological test, a Bayesian generalized additive model with age, education, gender, and language as predictors was constructed to appropriately stratify the normative dataset. Results: With advancing age, there was a non-linear decline in cognitive performance. In addition, performance was dependent on educational levels and language in all tests. Gender had a more limited impact. Standardized scores have been calculated to ease the interpretation of an individual's test outcome. A web-based online tool has been created to provide free access to normative data. Conclusion: For defined neuropsychological tests, the impact of gender, age, education, and language as factors confounding disease-associated cognitive decline can be minimized at the level of a single patient examination.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30103 - Neurosciences (including psychophysiology)
Result continuities
Project
<a href="/en/project/8F19004" target="_blank" >8F19004: European eHealth care model for rare neurodegenerative diseases</a><br>
Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Neurology
ISSN
0340-5354
e-ISSN
1432-1459
Volume of the periodical
270
Issue of the periodical within the volume
10
Country of publishing house
DE - GERMANY
Number of pages
11
Pages from-to
4903-4913
UT code for WoS article
001011901700001
EID of the result in the Scopus database
2-s2.0-85162655417