What if one of the most powerful clues about dementia risk is already being captured every morning before you even get out of bed? The CAIDE dementia risk score has long helped clinicians estimate midlife risk for dementia using cardiovascular health factors, but its accuracy hasn’t been equal across populations. New research suggests that integrating resting heart rate meaningfully improves predictive performance across most racial groups. In this interview, Dr. Newman Sze and Shakiru Alaka join us to dig into how and why resting heart rate enhances CAIDE’s accuracy, what the data shows across different racial groups, and what this could mean for earlier, more equitable identification of dementia risk in both research and clinical settings.

Guests: Newman Sze, PhD, professor of health sciences, Brock University, Canada Research Chair in Mechanisms of Health and Disease, and Shakiru Alaka, MS, senior analyst, Canadian Institute for Health Information, data scientist, Western University

Read Shakiru and Dr. Sze’s study, “Enhancing the validity of CAIDE dementia risk scores with resting heart rate and machine learning: An analysis from the National Alzheimer's Coordinating Center across all races/ethnicities,” published in Alzheimer’s & Dementia online.

Learn more about Shakiru and Dr. Sze’s research from this article on the Brock University website.

Learn more about Dr. Sze and his research from his bio on the Brock University website.

Look into more of Shakiru’s research from his Google Scholar page.

Find transcripts and more at our website.

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