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Midlife sensory and motor functions improve prediction of blood-based measures of neurodegeneration and Alzheimer's disease in late middle-age.
Paulsen, Adam J; Pinto, A Alex; Schubert, Carla R; Chappell, Richard J; Chen, Yanjun; Engelman, Corinne D; Ferrucci, Luigi; Hancock, Laura M; Johnson, Sterling C; Merten, Natascha.
Afiliación
  • Paulsen AJ; Department of Population Health Sciences School of Medicine and Public Health University of Wisconsin-Madison Madison Wisconsin USA.
  • Pinto AA; Department of Biostatistics and Medical Informatics School of Medicine and Public Health University of Wisconsin-Madison Madison Wisconsin USA.
  • Schubert CR; Department of Population Health Sciences School of Medicine and Public Health University of Wisconsin-Madison Madison Wisconsin USA.
  • Chappell RJ; Department of Biostatistics and Medical Informatics School of Medicine and Public Health University of Wisconsin-Madison Madison Wisconsin USA.
  • Chen Y; Department of Statistics School of Computer Data & Information Sciences University of Wisconsin - Madison Madison Wisconsin USA.
  • Engelman CD; Department of Ophthalmology and Visual Sciences School of Medicine and Public Health University of Wisconsin-Madison Madison Wisconsin USA.
  • Ferrucci L; Department of Population Health Sciences School of Medicine and Public Health University of Wisconsin-Madison Madison Wisconsin USA.
  • Hancock LM; Longitudinal Study Section, Intramural Research Program National Institute on Aging, NIH Gaithersburg Maryland USA.
  • Johnson SC; Neurological Institute Section of Neuropsychology Cleveland Clinic Cleveland Ohio USA.
  • Merten N; Division of Geriatrics and Gerontology Department of Medicine School of Medicine and Public Health University of Wisconsin-Madison Madison Wisconsin USA.
Alzheimers Dement (Amst) ; 16(1): e12564, 2024.
Article en En | MEDLINE | ID: mdl-38476637
ABSTRACT

INTRODUCTION:

We assessed whether midlife sensory and motor functions added to prediction models using the Cardiovascular Risk Factors, Aging, and Incidence of Dementia Score (CAIDE) and Framingham Risk Score (FRS) improve risk predictions of 10-year changes in biomarkers of neurodegeneration and Alzheimer's disease.

METHODS:

Longitudinal data of N = 1529 (mean age 49years) Beaver Dam Offspring Study participants from baseline, 5-year, and 10-year follow-up were included. We tested whether including baseline sensory (hearing, vision, olfactory) impairment and motor function measures improves CAIDE or FRS risk predictions of 10-year incidence of biomarker positivity of serum-based neurofilament light chain (NfL) and amyloid beta (Aß)42/Aß40 using logistic regression.

RESULTS:

Adding sensory and motor measures to CAIDE-only and FRS-only models significantly improved NfL and Aß42/Aß40 positivity predictions in adults above the age of 55.

DISCUSSION:

Including midlife sensory and motor function improved long-term biomarker positivity predictions. Non-invasive sensory and motor assessments could contribute to cost-effective screening tools that identify individuals at risk for neurodegeneration early to target interventions and preventions. Highlights Sensory and motor measures improve risk prediction models of neurodegenerative biomarkersSensory and motor measures improve risk prediction models of AD biomarkersPrediction improvements were strongest in late midlife (adults >55 years of age)Sensory and motor assessments may help identify high-risk individuals early.
Palabras clave

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Alzheimers Dement (Amst) Año: 2024 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Alzheimers Dement (Amst) Año: 2024 Tipo del documento: Article