The Clinical neuropsychologist · 2026
Diagnostic accuracy of the Multicultural Cognitive Examination (MCE) for detection of MCI and dementia in a diverse international cohort.
СтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Kjaergaard Daniel, Delgado-Álvarez Alfonso, Waldemar Gunhild, Beinhoff Ulrike, Bekkhus-Wetterberg Peter, Franzen Sanne, Illingworth Caitlin H, Laks Jerson, Lozano-Ruiz Alvaro, Lueschow Andreas, Matias-Guiu Jordi A, Pomati Simone, Segers Kurt, Torkpoor Rozita, Wagle Jørgen, Nielsen T Rune
Аннотация
OBJECTIVE: Accurate cognitive screening tests for culturally, linguistically, and educationally diverse populations remain scarce, contributing to diagnostic inequities. To address this, we examined the cross-cultural properties and diagnostic accuracy of the Multicultural Cognitive Examination (MCE) in classifying mild cognitive impairment (MCI), dementia, Alzheimer's disease (AD) dementia, and non-AD dementia in participants with diverse backgrounds.
METHOD: In this retrospective cross-sectional study, we aggregated data from 1,449 participants across 11 countries. Multiple linear regression models were used to determine the influence of demographic variables on MCE scores, which informed the creation of regression-based normative data. Diagnostic accuracies were examined using Receiver Operating Characteristics (ROC) curves.
RESULTS: The cohort consisted of 1001 cognitively intact participants, 140 patients with MCI, and 308 patients with dementia. 54.2% had immigrant backgrounds and originated from 63 different countries. MCE scores were significantly influenced by education and age, but not by sex or immigrant status. The MCE demonstrated high accuracy in differentiating cognitively intact participants from patients with dementia (AUC: .95) and MCI (AUC: .84). The MCE was both accurate for classifying AD dementia (AUC: .97) and non-AD dementia (AUC: .94).
CONCLUSIONS: This study supports the clinical utility of the MCE as a culturally robust and highly accurate cognitive screening test. Future studies should examine the ability of the MCE to monitor cognitive decline.
METHOD: In this retrospective cross-sectional study, we aggregated data from 1,449 participants across 11 countries. Multiple linear regression models were used to determine the influence of demographic variables on MCE scores, which informed the creation of regression-based normative data. Diagnostic accuracies were examined using Receiver Operating Characteristics (ROC) curves.
RESULTS: The cohort consisted of 1001 cognitively intact participants, 140 patients with MCI, and 308 patients with dementia. 54.2% had immigrant backgrounds and originated from 63 different countries. MCE scores were significantly influenced by education and age, but not by sex or immigrant status. The MCE demonstrated high accuracy in differentiating cognitively intact participants from patients with dementia (AUC: .95) and MCI (AUC: .84). The MCE was both accurate for classifying AD dementia (AUC: .97) and non-AD dementia (AUC: .94).
CONCLUSIONS: This study supports the clinical utility of the MCE as a culturally robust and highly accurate cognitive screening test. Future studies should examine the ability of the MCE to monitor cognitive decline.