November 14, 2022 – Researchers at the University of Miami Miller School of Medicine have developed the Brain Health Platform, an advanced series of tests to determine a patient’s dementia risk. The platform combines three measures: a Resilience Index (RI), a Vulnerability Index (VI) and a Number-Symbol Coding Task (NSCT). When combined, these metrics help triangulate a patient’s risk of developing Alzheimer’s and other neurological conditions. The work was recently published in the Journal of Alzheimer’s Disease.
“There was a need to precisely assess people’s risk,” said James E. Galvin, M.D., M.P.H., professor of neurology, director of the Comprehensive Center for Brain Health and senior author on the paper. “By combining resilience, which measures brain health, vulnerability, which measures brain ‘unhealth,’ and NSCT, which measures decision-making and problem-solving, we can stratify a person as being at high, low or intermediate risk of developing Alzheimer’s. Nothing like this has ever been done before.”
The platform is designed to take a snapshot of a patient’s brain health at that moment, providing actionable information to personalize care. The RI focuses on modifiable factors, such as their physical activity, nutritional intake, cognitive and leisure activities, and mindfulness. Patients are given several brief questionnaires to determine their score.
The VI includes 12 factors that are easily found in the patient’s electronic medical record, such as gender and history of heart disease, diabetes and depression. The NSCT is a simple cognitive test that can be done with pen and paper or on a computer. Altogether, these assessments take around 20 minutes to complete and can be done while waiting for an appointment.
In the study, the research team evaluated 230 participants: 71 healthy controls; 71 with mild cognitive impairment and 88 with diagnosed dementia. The team, including a biostatistics collaborator at Florida Atlantic University, found that participants with abnormal scores on the platform had a greater than 95% probability of being impaired. This accuracy could help physicians provide precision care and prevention plans and direct patients to clinical trials.
To simplify the readout, the platform generates a 3D visualization, which plots an individual’s scores against all the other data previously collected to give physicians a graphical understanding of their patient’s brain health.
