SUPR
Predicting Alzheimer's disease diagnosis and progression
Dnr:

NAISS 2024/22-18

Type:

NAISS Small Compute

Principal Investigator:

Linus Jönsson

Affiliation:

Karolinska Institutet

Start Date:

2024-01-05

End Date:

2025-02-01

Primary Classification:

30301: Health Care Service and Management, Health Policy and Services and Health Economy

Webpage:

Allocation

Abstract

Alzheimer's disease (AD) is a neurodegenerative disorder leading to the development of dementia, and a major cause of morbidity and mortality in the ageing population. In the IHI-PROMINENT project we will develop prediction models of AD diagnosis and disease progression, based on existing data from Swedish and European health care databases, registries and cohorts. The Swedish Dementia Registry is one of the largest AD databases in the world, with over 100,000 patients followed longitudinally. This registry has been linked to health care resource utilization data, mortality, biomarker and other data. We aim to use the high dimensionality of this dataset to develop novel prediction models of AD diagnosis, and to identify patients at high risk of disease progression. This is a highly relevant topic as new disease-modifying therapies for AD are being introduced, the first two drugs have recently received regulatory approval in the US and are currently under review by the European Medicines Agency (EMA).