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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&apos;s disease (HD). The neuropsychological battery of the Unified HD Rating Scale (UHDRS&apos;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&apos;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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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