Characterizing and validating 12-month reliable cognitive change in Early-Onset Alzheimer's Disease for use in clinical trials - 27/03/25

Doi : 10.1016/j.tjpad.2025.100075 
Dustin B. Hammers a, , Jane Musema a, Ani Eloyan b, Maryanne Thangarajah b, Alexander Taurone b, Renaud La Joie c, Alexandra Touroutoglou d, Prashanthi Vemuri e, Joel Kramer c, Paul Aisen f, Jeffrey L. Dage a, Kelly N. Nudelman g, Kala Kirby a, Alireza Atri h, David Clark a, Gregory S. Day i, Ranjan Duara j, Neill R. Graff-Radford i, Ian Grant k, Lawrence S. Honig l, Erik C.B. Johnson m, David T. Jones e, Joseph C. Masdeu n, Mario F. Mendez o, Kyle Womack p, Erik Musiek p, Chiadi U. Onyike q, Meghan Riddle r, Emily Rogalski s, Steven Salloway r, Sharon J. Sha t, Raymond Scott Turner u, Thomas S. Wingo v, David A. Wolk w, Maria C. Carrillo x, Gil D. Rabinovici c, Bradford C. Dickerson d, Liana G. Apostolova a, g, y

the LEADS Consortiuma

a Department of Neurology, Indiana University School of Medicine, Indianapolis, IN 46202, USA 
b Department of Biostatistics, Center for Statistical Sciences, Brown University, Providence, Rhode Island 02912, USA 
c Department of Neurology, University of California – San Francisco, San Francisco, California 94143, USA 
d Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114, USA 
e Department of Neurology, Mayo Clinic, Rochester, Minnesota 55905, USA 
f Alzheimer's Therapeutic Research Institute, University of Southern California, San Diego, California 92121, USA 
g Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana 46202, USA 
h Banner Sun Health Research Institute, Sun City, Arizona 85351, USA 
i Department of Neurology, Mayo Clinic, Jacksonville, Florida 32224, USA 
j Wien Center for Alzheimer's Disease and Memory Disorders, Mount Sinai Medical Center, Miami, Florida 33140, USA 
k Department of Psychiatry and Behavioral Sciences, Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Feinberg School of Medicine, Northwestern University, Chicago, Illinois 60611, USA 
l Taub Institute and Department of Neurology, Columbia University Irving Medical Center, New York, New York 10032, USA 
m Department of Neurology and Human Genetics, Emory University School of Medicine, Atlanta, Georgia 30307, USA 
n Nantz National Alzheimer Center, Houston Methodist and Weill Cornell Medicine, Houston, Texas 77030, USA 
o Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, California 90095, USA 
p Department of Neurology, Washington University in St. Louis, St. Louis, Missouri 63130, USA 
q Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA 
r Department of Neurology, Alpert Medical School, Brown University, Providence, Rhode Island 02912, USA 
s Healthy Aging & Alzheimer's Research Care Center, Department of Neurology, University of Chicago, Chicago, Illinois 60637, USA 
t Department of Neurology & Neurological Sciences, Stanford University, Palo Alto, California 94304, USA 
u Department of Neurology, Georgetown University, Washington D.C. 20057, USA 
v Department of Neurology, UC Davis Alzheimer's Disease Research Center, University of California – Davis, Davis, California 95816, USA 
w Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA 
x Medical & Scientific Relations Division, Alzheimer's Association, Chicago, Illinois 60603, USA 
y Department of Radiology and Imaging Sciences, Center for Neuroimaging, Indiana University School of Medicine Indianapolis, Indianapolis, Indiana, 46202, USA 

Correspondence authors at: Department of Neurology, Indiana University School of Medicine, Department of Neurology, 355 West 16th Street (GH4027), Indianapolis, IN, 46202, USA.Department of Neurology, Indiana University School of MedicineDepartment of Neurology355 West 16th Street (GH4027)IndianapolisIN46202USA

Bienvenido a EM-consulte, la referencia de los profesionales de la salud.
Artículo gratuito.

Conéctese para beneficiarse!

Abstract

Background

As literature suggests that Early-Onset Alzheimer's Disease (EOAD) and late-onset AD may differ in important ways, need exists for randomized clinical trials for treatments tailored to EOAD. Accurately measuring reliable cognitive change in individual patients with EOAD will have great value for these trials.

Objectives

The current study sought to characterize and validate 12-month reliable change from the Longitudinal Early-Onset Alzheimer's Disease Study (LEADS) neuropsychological battery.

Design

Standardized regression-based (SRB) prediction equations were developed from age-matched cognitively intact participants within LEADS, and applied to clinically impaired participants from LEADS.

Setting

Participants were recruited from outpatient academic medical centers.

Participants

Participants were enrolled in LEADS and diagnosed with amyloid-positive EOAD (n = 189) and amyloid-negative early-onset cognitive impairment not related to AD (EOnonAD; n = 43).

Measurement

12-month reliable change (Z-scores) was compared between groups across cognitive domain composites, and distributions of individual participant trajectories were examined. Prediction of Z-scores by common AD biomarkers was also considered.

Results

Both EOAD and EOnonAD displayed significantly lower 12-month follow-up scores than were predicted based on SRB equations, with declines more pronounced for EOAD across several domains. AD biomarkers of cerebral β-amyloid, tau, and EOAD-specific atrophy were predictive of 12-month change scores.

Conclusions

The current results support including EOAD patients in longitudinal clinical trials, and generate evidence of validation for using 12-month reliable cognitive change as a clinical outcome metric in clinical trials in EOAD cohorts like LEADS. Doing so will enhance the success of EOAD trials and permit a better understanding of individual responses to treatment.

El texto completo de este artículo está disponible en PDF.

Keywords : Cognition, Longitudinal, Early-onset Alzheimer's disease, memory, Non-Amnestic


Esquema


© 2025  Publicado por Elsevier Masson SAS.
Añadir a mi biblioteca Eliminar de mi biblioteca Imprimir
Exportación

    Exportación citas

  • Fichero

  • Contenido

Vol 12 - N° 4

Artículo 100075- avril 2025 Regresar al número
Artículo precedente Artículo precedente
  • Assessing the causal role of lipid metabolites in Alzheimer's disease: A mendelian randomization study
  • Haoxiang Hu, Jiesheng Mao, Yunhan Zhao, Yihan Zhang, Caixiang Zhuang, Jiang hai He, Xiaokai Yang
| Artículo siguiente Artículo siguiente
  • Feasibility of computerized motor, cognitive and speech tests in the home: Analysis of TAS Test in 2,300 older adults
  • Guan Huang, Renjie Li, Eddy Roccati, Katherine Lawler, Aidan Bindoff, Anna King, James Vickers, Quan Bai, Jane Alty

Bienvenido a EM-consulte, la referencia de los profesionales de la salud.

@@150455@@ Voir plus

Mi cuenta


Declaración CNIL

EM-CONSULTE.COM se declara a la CNIL, la declaración N º 1286925.

En virtud de la Ley N º 78-17 del 6 de enero de 1978, relativa a las computadoras, archivos y libertades, usted tiene el derecho de oposición (art.26 de la ley), el acceso (art.34 a 38 Ley), y correcta (artículo 36 de la ley) los datos que le conciernen. Por lo tanto, usted puede pedir que se corrija, complementado, clarificado, actualizado o suprimido información sobre usted que son inexactos, incompletos, engañosos, obsoletos o cuya recogida o de conservación o uso está prohibido.
La información personal sobre los visitantes de nuestro sitio, incluyendo su identidad, son confidenciales.
El jefe del sitio en el honor se compromete a respetar la confidencialidad de los requisitos legales aplicables en Francia y no de revelar dicha información a terceros.


Todo el contenido en este sitio: Copyright © 2026 Elsevier, sus licenciantes y colaboradores. Se reservan todos los derechos, incluidos los de minería de texto y datos, entrenamiento de IA y tecnologías similares. Para todo el contenido de acceso abierto, se aplican los términos de licencia de Creative Commons.