Digital Solutions for Predicting the Biological Mechanisms of Alzheimer's Disease Through the Analysis of Risk Factors (PrevAl)
Development of Digital Solutions for the Prediction of the Biological Mechanisms of Alzheimer's Disease Through the Analysis of Risk Factors (PrevAI)
Population ageing is one of the main factors responsible for the global increase in the prevalence of dementia. Recent evidence suggests that modifiable risk factors, such as cardiovascular disease and lifestyle, may increase the risk of developing dementia and contribute to its progression. Furthermore, the use of non-invasive plasma biomarkers enables the identification of individuals with neurodegenerative diseases, even in the prodromal stage. However, the relationship between the cumulative burden of risk factors and plasma biomarkers is still poorly understood.
The main objective of this study is to identify and estimate the risk associated with modifiable and non-modifiable predictors (risk factors) linked to the development of Alzheimer's disease (AD) and non-AD dementia, as well as biological alterations consistent with AD or non-AD, through the development of a predictive tool based on Artificial Intelligence algorithms (Machine Learning model). The study also aims to provide a range of technological tools (an app for active patient monitoring and a web platform for clinicians) that could improve risk stratification and the personalisation of care pathways.
The study is divided into two different phases. Firstly, a retrospective phase is conducted in order to construct a predictive model for the risk of dementia and biological alterations consistent with AD. Secondly, a prospective phase is performed for the validation of the predictive model.
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
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BS
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Brescia, BS, Italy, 25123
- Recruiting
- Asst Spedali Civili Di Brescia
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Contact:
- Alessandro Padovani, MD
- Phone Number: +39 0303995632
- Email: alessandro.padovani@unibs.it
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Contact:
- Luisa Alessandrini
- Phone Number: +39 0303996968
- Email: grant.office@asst-spedalicivili.it
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Brescia, BS, Italy, 25125
- Recruiting
- IRCCS Istituto Centro San Giovanni Di Dio - Fatebenefratelli
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Principal Investigator:
- Barbara Borroni, MD
-
Contact:
- Barbara Borroni, MD
- Phone Number: +39 0303501213
- Email: bborroni@fatebenefratelli.eu
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-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Male or female subjects aged more than 18 years at the time of signing the informed consent form;
- Subjects with MCI or SCD who, at the time of their first visit, did not have a clinical diagnosis of dementia (MMSE ≥ 24);
- Smartphone user.
Exclusion Criteria:
- Age younger than that stated in the inclusion criterion;
- Inability to understand.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Screening
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
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Experimental: Subjects with MCI or SCD
|
The intervention consists of a mobile application ("app") for risk monitoring with gamified patient engagement, which is design to support remote health monitoring and participant adherence to the study. Participants will enter informative clinical variables every 3 months, including weight, height, age, systolic/diastolic blood pressure, and blood glucose levels. The app generates a qualitative risk assessment (low/medium/high) based on entered data, intended as a clinical monitoring support tool for the participating sites and not as a diagnostic tool that replaces medical evaluation and/or clinical judgment. Unlike standard data collection apps, the intervention provides continuous engagement incentives in the form of visual feedback and motivational messaging.
Other Names:
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Conversion rate to dementia
Time Frame: From enrollment to 3-6 months after enrollment
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Risk score that assesses the individual risk associated with predictors linked to (i) the development of AD and non-AD dementia, and (ii) biological biological changes consistent with AD or non-AD pathology.
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From enrollment to 3-6 months after enrollment
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Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Publications and helpful links
General Publications
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- Risk Reduction of Cognitive Decline and Dementia: WHO Guidelines. Geneva: World Health Organization; 2019. Available from http://www.ncbi.nlm.nih.gov/books/NBK542796/
- Livingston G, Huntley J, Liu KY, Costafreda SG, Selbaek G, Alladi S, Ames D, Banerjee S, Burns A, Brayne C, Fox NC, Ferri CP, Gitlin LN, Howard R, Kales HC, Kivimaki M, Larson EB, Nakasujja N, Rockwood K, Samus Q, Shirai K, Singh-Manoux A, Schneider LS, Walsh S, Yao Y, Sommerlad A, Mukadam N. Dementia prevention, intervention, and care: 2024 report of the Lancet standing Commission. Lancet. 2024 Aug 10;404(10452):572-628. doi: 10.1016/S0140-6736(24)01296-0. Epub 2024 Jul 31. No abstract available.
- Rascovsky K, Hodges JR, Knopman D, Mendez MF, Kramer JH, Neuhaus J, van Swieten JC, Seelaar H, Dopper EG, Onyike CU, Hillis AE, Josephs KA, Boeve BF, Kertesz A, Seeley WW, Rankin KP, Johnson JK, Gorno-Tempini ML, Rosen H, Prioleau-Latham CE, Lee A, Kipps CM, Lillo P, Piguet O, Rohrer JD, Rossor MN, Warren JD, Fox NC, Galasko D, Salmon DP, Black SE, Mesulam M, Weintraub S, Dickerson BC, Diehl-Schmid J, Pasquier F, Deramecourt V, Lebert F, Pijnenburg Y, Chow TW, Manes F, Grafman J, Cappa SF, Freedman M, Grossman M, Miller BL. Sensitivity of revised diagnostic criteria for the behavioural variant of frontotemporal dementia. Brain. 2011 Sep;134(Pt 9):2456-77. doi: 10.1093/brain/awr179. Epub 2011 Aug 2.
- Jessen F, Amariglio RE, Buckley RF, van der Flier WM, Han Y, Molinuevo JL, Rabin L, Rentz DM, Rodriguez-Gomez O, Saykin AJ, Sikkes SAM, Smart CM, Wolfsgruber S, Wagner M. The characterisation of subjective cognitive decline. Lancet Neurol. 2020 Mar;19(3):271-278. doi: 10.1016/S1474-4422(19)30368-0. Epub 2020 Jan 17.
- Jack CR Jr, Andrews JS, Beach TG, Buracchio T, Dunn B, Graf A, Hansson O, Ho C, Jagust W, McDade E, Molinuevo JL, Okonkwo OC, Pani L, Rafii MS, Scheltens P, Siemers E, Snyder HM, Sperling R, Teunissen CE, Carrillo MC. Revised criteria for diagnosis and staging of Alzheimer's disease: Alzheimer's Association Workgroup. Alzheimers Dement. 2024 Aug;20(8):5143-5169. doi: 10.1002/alz.13859. Epub 2024 Jun 27.
- Redolfi A, Manset D, Barkhof F, Wahlund LO, Glatard T, Mangin JF, Frisoni GB; neuGRID Consortium, for the Alzheimer's Disease Neuroimaging Initiative. Head-to-head comparison of two popular cortical thickness extraction algorithms: a cross-sectional and longitudinal study. PLoS One. 2015 Mar 17;10(3):e0117692. doi: 10.1371/journal.pone.0117692. eCollection 2015.
- Martinez-Dubarbie F, Guerra-Ruiz A, Lopez-Garcia S, Lage C, Fernandez-Matarrubia M, Infante J, Pozueta-Cantudo A, Garcia-Martinez M, Corrales-Pardo A, Bravo M, Lopez-Hoyos M, Irure-Ventura J, Valeriano-Lorenzo E, Garcia-Unzueta MT, Sanchez-Juan P, Rodriguez-Rodriguez E. Diagnostic Accuracy of Plasma p-tau217 for Detecting Pathological Cerebrospinal Fluid Changes in Cognitively Unimpaired Subjects Using the Lumipulse Platform. J Prev Alzheimers Dis. 2024;11(6):1581-1591. doi: 10.14283/jpad.2024.152.
- Sathyan A, Weinberg AI, Cohen K. Interpretable AI for bio-medical applications. Complex Eng Syst. 2022 Dec;2(4):18. doi: 10.20517/ces.2022.41. Epub 2022 Dec 28.
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- McKeith IG, Ferman TJ, Thomas AJ, Blanc F, Boeve BF, Fujishiro H, Kantarci K, Muscio C, O'Brien JT, Postuma RB, Aarsland D, Ballard C, Bonanni L, Donaghy P, Emre M, Galvin JE, Galasko D, Goldman JG, Gomperts SN, Honig LS, Ikeda M, Leverenz JB, Lewis SJG, Marder KS, Masellis M, Salmon DP, Taylor JP, Tsuang DW, Walker Z, Tiraboschi P; prodromal DLB Diagnostic Study Group. Research criteria for the diagnosis of prodromal dementia with Lewy bodies. Neurology. 2020 Apr 28;94(17):743-755. doi: 10.1212/WNL.0000000000009323. Epub 2020 Apr 2.
- Hooper C, Coley N, Delrieu J, Guyonnet S. Lifestyle factors and plasma biomarkers of Alzheimer's disease: A narrative review. J Prev Alzheimers Dis. 2025 Jun;12(6):100130. doi: 10.1016/j.tjpad.2025.100130. Epub 2025 Mar 12.
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Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- PrevAl
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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