Revised Framingham Stroke Risk Profile: Association with Cognitive Status and MRI-Derived Volumetric Measures

Author:

Pelcher Isabelle1,Puzo Christian1,Tripodis Yorghos2,Aparicio Hugo J.1345,Steinberg Eric G.1,Phelps Alyssa1,Martin Brett6,Palmisano Joseph N.6,Vassey Elizabeth1,Lindbergh Cutter7,McKee Ann C.13489,Stein Thor D.14589,Killiany Ronald J.110,Au Rhoda1351011,Kowall Neil W.134,Stern Robert A.131012,Mez Jesse13,Alosco Michael L.13

Affiliation:

1. Boston University Alzheimer’s Disease Center and CTE Center, Boston University School of Medicine, Boston, MA, USA

2. Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA

3. Department of Neurology, Boston University School of Medicine, Boston, MA, USA

4. VA Boston Healthcare System, U.S. Department of Veteran Affairs, Boston, MA, USA

5. Framingham Heart Study, National Heart, Lung, and Blood, Framingham, MA, USA

6. Biostatistics and Epidemiology Data Analytics Center, Boston University School of Public Health, Boston, MA, USA

7. Department of Neurology, University of California, San Francisco, San Francisco, CA, USA

8. Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, MA, USA

9. Department of Veterans Affairs Medical Center, Bedford, MA, USA

10. Department of Anatomy & Neurobiology, Boston University School of Medicine, Boston, MA, USA

11. Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA

12. Department of Neurosurgery, Boston University School of Medicine, Boston, MA, USA

Abstract

Background: The Framingham Stroke Risk Profile (FSRP) was created in 1991 to estimate 10-year risk of stroke. It was revised in 2017 (rFSRP) to reflect the modern data on vascular risk factors and stroke risk. Objective: This study examined the association between the rFSRP and cognitive and brain aging outcomes among participants from the National Alzheimer’s Coordinating Center (NACC) Uniform Data Set (UDS). Methods: Cross-sectional rFSRP was computed at baseline for 19,309 participants (mean age = 72.84, SD = 8.48) from the NACC-UDS [9,697 (50.2%) normal cognition, 4,705 (24.4%) MCI, 4,907 (25.4%) dementia]. Multivariable linear, logistic, or ordinal regressions examined the association between the rFSRP and diagnostic status, neuropsychological test performance, CDR® Sum of Boxes, as well as total brain volume (TBV), hippocampal volume (HCV), and log-transformed white matter hyperintensities (WMH) for an MRI subset (n = 1,196). Models controlled for age, sex, education, racial identity, APOE ɛ4 status, and estimated intracranial volume for MRI models. Results: The mean rFSRP probability was 10.42% (min = 0.50%, max = 95.71%). Higher rFSRP scores corresponded to greater CDR Sum of Boxes (β= 0.02, p = 0.028) and worse performance on: Trail Making Test A (β= 0.05, p < 0.001) and B (β= 0.057, p < 0.001), and Digit Symbol (β= –0.058, p < 0.001). Higher rFSRP scores were associated with increased odds for a greater volume of log-transformed WMH (OR = 1.02 per quartile, p = 0.015). No associations were observed for diagnosis, episodic memory or language test scores, HCV, or TBV. Conclusion: These results support the rFSRP as a useful metric to facilitate clinical research on the associations between cerebrovascular disease and cognitive and brain aging.

Publisher

IOS Press

Subject

Psychiatry and Mental health,Geriatrics and Gerontology,Clinical Psychology,General Medicine,General Neuroscience

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