Digital biomarkers and sex impacts in Alzheimer's disease management - potential utility for innovative 3P medicine approach

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00159816%3A_____%2F22%3A00077653" target="_blank" >RIV/00159816:_____/22:00077653 - isvavai.cz</a>

Alternative codes found

RIV/00064203:_____/22:10444545 RIV/00216208:11130/22:10444545

Result on the web

<a href="https://link.springer.com/article/10.1007/s13167-022-00284-3" target="_blank" >https://link.springer.com/article/10.1007/s13167-022-00284-3</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s13167-022-00284-3" target="_blank" >10.1007/s13167-022-00284-3</a>

Result language

angličtina

Original language name

Digital biomarkers and sex impacts in Alzheimer's disease management - potential utility for innovative 3P medicine approach

Original language description

Digital biomarkers are defined as objective, quantifiable physiological and behavioral data that are collected and measured by means of digital devices. Their use has revolutionized clinical research by enabling high-frequency, longitudinal, and sensitive measurements. In the field of neurodegenerative diseases, an example of a digital biomarker-based technology is instrumental activities of daily living (iADL) digital medical application, a predictive biomarker of conversion from mild cognitive impairment (MCI) due to Alzheimer&apos;s disease (AD) to dementia due to AD in individuals aged 55+. Digital biomarkers show promise to transform clinical practice. Nevertheless, their use may be affected by variables such as demographics, genetics, and phenotype. Among these factors, sex is particularly important in Alzheimer&apos;s, where men and women present with different symptoms and progression patterns that impact diagnosis. In this study, we explore sex differences in Altoida&apos;s digital medical application in a sample of 568 subjects consisting of a clinical dataset (MCI and dementia due to AD) and a healthy population. We found that a biological sex-classifier, built on digital biomarker features captured using Altoida&apos;s application, achieved a 75% ROC-AUC (receiver operating characteristic - area under curve) performance in predicting biological sex in healthy individuals, indicating significant differences in neurocognitive performance signatures between males and females. The performance dropped when we applied this classifier to more advanced stages on the AD continuum, including MCI and dementia, suggesting that sex differences might be disease-stage dependent. Our results indicate that neurocognitive performance signatures built on data from digital biomarker features are different between men and women. These results stress the need to integrate traditional approaches to dementia research with digital biomarker technologies and personalized medicine perspectives to achieve more precise predictive diagnostics, targeted prevention, and customized treatment of cognitive decline.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

30218 - General and internal medicine

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

EPMA JOURNAL

ISSN

1878-5077

e-ISSN

1878-5085

Volume of the periodical

13

Issue of the periodical within the volume

2

Country of publishing house

CH - SWITZERLAND

Number of pages

15

Pages from-to

299-313

UT code for WoS article

000806659500001

EID of the result in the Scopus database

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