Abstract 4369982: Hypertension-Associated Accelerated Brain Aging - An Analysis from the UK Biobank Cohort
Abstract
Background: Hypertension is a major modifiable risk factor for cerebrovascular diseases, with early onset impacting brain health. However, the quantifiable neuroimaging features of hypertension-related brain aging remain understudied. The brain age gap, i.e., the difference between neuroimaging-predicted brain age and chronological age, is a novel biomarker for detecting premature cerebral aging processes. Objective: To evaluate the association between chronic hypertension and accelerated brain aging using neuroimaging data. Methods: The study population included participants from UK Biobank with complete neuroimaging data, comparing hypertensive individuals to normotensive controls. Brain age gap was calculated using Beheshti's correction method to eliminate age-dependent prediction errors. Multivariate linear regression models examined hypertension associations adjusted with cardiovascular and socioeconomic covariates. Results: The study comprised 37,123 participants with complete neuroimaging data (mean chronological age: 64.05 years, 53.2% females), of whom 12,870 (34.7%) were diagnosed with hypertension. Compared to normotensive controls, hypertensive participants demonstrated higher BMI (28.01 vs. 25.74 kg/m 2 ), elevated waist-to-hip ratio (0.89 vs. 0.84), and increased HbA1c levels (35.99 vs. 34.38 mmol/mol). After adjusting for cardiovascular and socioeconomic covariates, hypertensive participants exhibited a significant 0.69-year increase in brain age gap compared to normotensive controls (95% CI: 0.60-0.78, p<0.0001), demonstrating premature cerebrovascular structural changes. There were no significant interactions observed between sex and hypertension. Conclusions: This study highlights the associations between chronic hypertension and accelerated brain aging. The brain age gap is a quantifiable biomarker that could be used to inform targeted treatment and preventive interventions in hypertensive populations.
Article Details
Authors (4)
Amanpreet Kaur
Yusheng Zhou
hassan behlouli
Research Institute of the McGill, Montreal, Quebec, Canada
Louise Pilote