# APRISE Dementia (Assessing Population-based Radiological brain health in Stroke Epidemiology-Dementia)

> **NIH NIH RF1** · UNIVERSITY OF CINCINNATI · 2020 · $1,963,399

## Abstract

DESCRIPTION/ABSTRACT:
Dementia is a major burden, costing more than cancer and heart disease, and expected to double by 2060, and
disproportionately in African-Americans. Among the parameters leading to post stroke dementia (PSD), vascular
causes, including small vessel disease, represent a silent epidemic in need of further characterization
epidemiologically. Further population-based studies of PSD, both in terms of incidence and characterization,
are needed in the United States to allow for national projections and public health planning. Currently, we also
lack an established prediction tool for PSD. A Framingham-like “Risk Function Tool for Post-Stroke Dementia,”
especially one incorporating the full gamut of modern imaging parameters developed in a racially diverse
population, would likely identify high-risk patients for targeted interventions. Moreover, it may reveal novel causal
pathways and risk factors for future investigation. We propose an ancillary study to the NIH-funded Assessing
Population-based Radiological brain health in Stroke Epidemiology (APRISE) study entitled, APRISE-Dementia.
Our objective is to build on the GCNKSS and APRISE infrastructures which will have radiologically characterized
the full stroke/TIA population of Greater Cincinnati/Northern Kentucky from 2015 and created the first modern,
largely MRI-based characterization of brain health in a contemporary stroke/TIA population, and determine the
population-based incidence, clinical and demographic features, and predictors of PSD up to five years
after the incident stroke/TIA. Our specific aim is to create a prediction model of PSD incorporating imaging
parameters in a biracial ischemic stroke/hemorrhagic stroke/TIA population using state-of-the-art modeling
approaches. We hypothesize that diagnosis of PSD (within five years from index stroke event) will be better
predicted by incorporating imaging parameters compared to traditional vascular risk factors alone. We will
achieve these goals in a remarkably cost- and time-efficient manner by leveraging the extensive imaging,
clinical and demographic data of stroke/TIA patients from 2015 already being collected in the currently
funded APRISE and GCKNSS grants. Our project will not only provide the first population-level incidence of
PSD projected nationally and innovatively utilize the entire imaging spectrum of brain health for prediction, but it
will also generate novel hypotheses for prospective validation and refinement in the prospective NINDS/NIA-
funded U19 DISCOVERY cohort. With the infrastructures already in place, we are uniquely ready to address
these urgent questions.

## Key facts

- **NIH application ID:** 10029149
- **Project number:** 1RF1NS117643-01
- **Recipient organization:** UNIVERSITY OF CINCINNATI
- **Principal Investigator:** BRETT M KISSELA
- **Activity code:** RF1 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $1,963,399
- **Award type:** 1
- **Project period:** 2020-08-15 → 2025-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10029149

## Citation

> US National Institutes of Health, RePORTER application 10029149, APRISE Dementia (Assessing Population-based Radiological brain health in Stroke Epidemiology-Dementia) (1RF1NS117643-01). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10029149. Licensed CC0.

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