There are many active research projects accessing and applying shared ADNI data. Use the search above to find specific research focuses on the active ADNI investigations. This information is requested annually as a requirement for data access.
| Principal Investigator | |
| Principal Investigator's Name: | Chiara Brück |
| Institution: | ErasmusMC |
| Department: | Public Health |
| Country: | |
| Proposed Analysis: | Based on the commonly applied Microsimulation Screening Analysis (MISCAN) model, we will develop a microsimulation model that simulates the development of dementia over the next decades from a public health perspective. As Alzheimer’s Disease (AD) is the most common type of dementia, we will also develop an AD specific MISCAN model. To assess model applicability, we will use it to evaluate long-term benefits and harms of three important interventions at different stages of the disease: 1) elimination of smoking (primary intervention); 2) earlier detection and treatment by population screening (secondary intervention); and 3) personalized care for all patients with dementia (tertiary intervention). For all interventions we will calculate (by age and gender) the number of dementia cases, dementia deaths, (quality adjusted) life years of both patients and caregivers, time to nursing home admission, and costs. The model will be based on data from the Rotterdam Study (The Netherlands) and then validated with ADNI data. |
| Additional Investigators | |
| Investigator's Name: | Inge de Kok |
| Proposed Analysis: | Based on the commonly applied Microsimulation Screening Analysis (MISCAN) model, we will develop a microsimulation model that simulates the development of dementia over the next decades from a public health perspective. As Alzheimer’s Disease (AD) is the most common type of dementia, we will also develop an AD specific MISCAN model. To assess model applicability, we will use it to evaluate long-term benefits and harms of three important interventions at different stages of the disease: 1) elimination of smoking (primary intervention); 2) earlier detection and treatment by population screening (secondary intervention); and 3) personalized care for all patients with dementia (tertiary intervention). For all interventions we will calculate (by age and gender) the number of dementia cases, dementia deaths, (quality adjusted) life years of both patients and caregivers, time to nursing home admission, and costs. The model will be based on data from the Rotterdam Study (The Netherlands) and then validated with ADNI data. |
