Establishing normative data for the evaluation of cognitive performance in Huntington's disease considering the impact of gender, age, language, and education

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/00216208:11110/23:10466070

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Establishing normative data for the evaluation of cognitive performance in Huntington's disease considering the impact of gender, age, language, and education

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Establishing normative data for the evaluation of cognitive performance in Huntington's disease considering the impact of gender, age, language, and education

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30103 - Neurosciences (including psychophysiology)

Projekt

<a href="/cs/project/8F19004" target="_blank" >8F19004: European eHealth care model for rare neurodegenerative diseases</a><br>

Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Journal of Neurology

ISSN

0340-5354

e-ISSN

1432-1459

Svazek periodika

270

Číslo periodika v rámci svazku

10

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

11

Strana od-do

4903-4913

Kód UT WoS článku

001011901700001

EID výsledku v databázi Scopus

2-s2.0-85162655417