Back to Search Start Over

Prediction of Amyloid Positivity in Patients with Subcortical Vascular Cognitive Impairment.

Authors :
Moon, Hasom
Ham, Hongki
Yun, Jihwan
Shin, Daeun
Lee, Eun Hye
Kim, Hee Jin
Seo, Sang Won
Na, Duk L.
Jang, Hyemin
Source :
Journal of Alzheimer's Disease. 2024, Vol. 99 Issue 3, p1117-1127. 11p.
Publication Year :
2024

Abstract

Background: Amyloid-β (Aβ) commonly coexists and impacts prognosis in subcortical vascular cognitive impairment (SVCI). Objective: This study aimed to examine the differences in clinical and neuroimaging variables between Aβ-positive and Aβ-negative SVCI and to propose a prediction model for Aβ positivity in clinically diagnosed SVCI patients. Methods: A total of 130 patients with SVCI were included in model development, and a separate cohort of 70 SVCI patients was used in external validation. The variables for the prediction model were selected by comparing the characteristics of the Aβ-negative and Aβ-positive SVCI groups. The final model was determined using a stepwise method. The model performance was evaluated using the receiver operating characteristic (ROC) curve and a calibration curve. A nomogram was used for visualization. Results: Among 130 SVCI patients, 70 (53.8%) were Aβ-positive. The Aβ-positive SVCI group was characterized by older age, tendency to be in the dementia stage, a higher prevalence of APOEɛ4, a lower prevalence of lacune, and more severe medial temporal atrophy (MTA). The final prediction model, which excluded MTA grade following the stepwise method for variable selection, demonstrated good accuracy in distinguishing between Aβ-positive and Aβ-negative SVCI, with an area under the curve (AUC) of 0.80. The external validation demonstrated an AUC of 0.71. Conclusions: The findings suggest that older age, dementia stage, APOEɛ4 carrier, and absence of lacunes may be predictive of Aβ positivity in clinically diagnosed SVCI patients. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13872877
Volume :
99
Issue :
3
Database :
Academic Search Index
Journal :
Journal of Alzheimer's Disease
Publication Type :
Academic Journal
Accession number :
177634990
Full Text :
https://doi.org/10.3233/JAD-240196