Reducing misclassification of mild cognitive impairment based on base rate information from the uniform data set

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081740%3A_____%2F23%3A00551231" target="_blank" >RIV/68081740:_____/23:00551231 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00159816:_____/23:00079778 RIV/47122099:_____/23:N0000003 RIV/00216208:11210/23:10436490 RIV/00216208:11130/23:10436490 a 4 dalších

Výsledek na webu

<a href="https://www.tandfonline.com/doi/full/10.1080/13825585.2021.2022593?src=" target="_blank" >https://www.tandfonline.com/doi/full/10.1080/13825585.2021.2022593?src=</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1080/13825585.2021.2022593" target="_blank" >10.1080/13825585.2021.2022593</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Reducing misclassification of mild cognitive impairment based on base rate information from the uniform data set

Popis výsledku v původním jazyce

The current study aimed to define and validate the criteria for characterizing possible and probable cognitive deficits based on the psychometric approach using the Uniform data set Czech version (UDS-CZ 2.0) to reduce the rate of misdiagnosis. We computed the prevalence of low scores on the 14 subtests of UDS-CZ 2.0 in a normative sample of healthy older adults and validated criteria for possible and probable cognitive impairment on the sample of amnestic Mild Cognitive Impairment (MCI) patients. The misclassification rate of the validation sample using psychometrically derived criteria remained low: for classification as possible impairment, we found 66–76% correct classification in the clinical sample and only 2–8% false positives in the healthy control validation sample, similar results were obtained for probable cognitive impairment. Our findings offer a psychometric approach and a computational tool to minimize the misdiagnosis of mild cognitive impairment compared to traditional criteria for MCI.

Název v anglickém jazyce

Reducing misclassification of mild cognitive impairment based on base rate information from the uniform data set

Popis výsledku anglicky

The current study aimed to define and validate the criteria for characterizing possible and probable cognitive deficits based on the psychometric approach using the Uniform data set Czech version (UDS-CZ 2.0) to reduce the rate of misdiagnosis. We computed the prevalence of low scores on the 14 subtests of UDS-CZ 2.0 in a normative sample of healthy older adults and validated criteria for possible and probable cognitive impairment on the sample of amnestic Mild Cognitive Impairment (MCI) patients. The misclassification rate of the validation sample using psychometrically derived criteria remained low: for classification as possible impairment, we found 66–76% correct classification in the clinical sample and only 2–8% false positives in the healthy control validation sample, similar results were obtained for probable cognitive impairment. Our findings offer a psychometric approach and a computational tool to minimize the misdiagnosis of mild cognitive impairment compared to traditional criteria for MCI.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50101 - Psychology (including human - machine relations)

Projekt

<a href="/cs/project/LQ1605" target="_blank" >LQ1605: Translační medicína</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název periodika

Aging Neuropsychology and Cognition

ISSN

1382-5585

e-ISSN

1744-4128

Svazek periodika

30

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

20

Strana od-do

301-320

Kód UT WoS článku

000741252700001

EID výsledku v databázi Scopus

2-s2.0-85122737524