作者
Marcelo Adrián Maito, Hernando Santamaría-García, Sebastián Moguilner, Katherine L Possin, María E Godoy, José Alberto Avila-Funes, María I Behrens, Ignacio L Brusco, Martín A Bruno, Juan F Cardona, Nilton Custodio, Adolfo M García, Shireen Javandel, Francisco Lopera, Diana L Matallana, Bruce Miller, Maira Okada de Oliveira, Stefanie D Pina-Escudero, Andrea Slachevsky, Ana L Sosa Ortiz, Leonel T Takada, Enzo Tagliazuchi, Victor Valcour, Jennifer S Yokoyama, Agustín Ibañez
发表日期
2023/1/1
期刊
The Lancet Regional Health–Americas
卷号
17
出版商
Elsevier
简介
Background
Global brain health initiatives call for improving methods for the diagnosis of Alzheimer's disease (AD) and frontotemporal dementia (FTD) in underrepresented populations. However, diagnostic procedures in upper-middle-income countries (UMICs) and lower-middle income countries (LMICs), such as Latin American countries (LAC), face multiple challenges. These include the heterogeneity in diagnostic methods, lack of clinical harmonisation, and limited access to biomarkers.
Methods
This cross-sectional observational study aimed to identify the best combination of predictors to discriminate between AD and FTD using demographic, clinical and cognitive data among 1794 participants [904 diagnosed with AD, 282 diagnosed with FTD, and 606 healthy controls (HCs)] collected in 11 clinical centres across five LAC (ReDLat cohort).
Findings
A fully automated computational approach included classical …
学术搜索中的文章
MA Maito, H Santamaría-García, S Moguilner… - The Lancet Regional Health–Americas, 2023