Baseline and Longitudinal MRI Markers Associated With 16-Year Mortality in Patients With Cerebral Small Vessel Disease.

Neurology

From the Department of Geriatrics (F.Y.), Xiangya Hospital, Central South University, China; Department of Neurology (M.A.J., J.I.V., A.M.T., F.-E.D.L.), Research Institute for Medical Innovation, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, the Netherlands; Department of Neurology (M.C.), Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, China; and Department of Biomedical Engineering (M.D.), Medical Image Analysis Center (MIAC AG) and qbig, University of Basel, Switzerland.

Published: September 2024

AI Article Synopsis

  • The study investigates the long-term mortality risk in patients with small vessel disease (SVD), focusing on MRI markers over a 16-year follow-up to understand their impact on life expectancy.
  • Out of 503 participants, 39.9% died during the study period, with specific MRI findings like increased white matter hyperintensity and decreased brain volume linked to higher mortality rates.
  • The research reveals that both baseline MRI markers and changes over time in brain volume are significant predictors of all-cause mortality in SVD patients, highlighting the necessity for further exploration of these connections.

Article Abstract

Background And Objectives: Information on whether small vessel disease (SVD) reduces life expectancy is limited. Moreover, the excess mortality risk attributed specifically to SVD compared with controls from the general population has not been evaluated. This study aimed to investigate the baseline and progression of MRI markers of SVD associated with mortality in a 16-year follow-up cohort study and to determine the excess long-term mortality risk of patients with SVD.

Methods: Participants with SVD from the Radboud University Nijmegen Diffusion Tensor and Magnetic Resonance Imaging Cohort (RUN DMC) study (with MRI assessments in 2006, 2011, 2015, and 2020) were followed until their death or December 1, 2021. Adjusted Cox regression analyses and linear mixed-effect regression models were used to investigate the association between MRI markers of SVD and mortality. The excess mortality risk of SVD was calculated by comparing mortality data of the RUN DMC study with the general population matched by sex, age, and calendar year.

Results: 200 of 503 (39.9%) participants died during a follow-up period of 15.9 years. Cause of death was available for 182 (91%) participants. Baseline white matter hyperintensity volume (HR 1.3 per 1-SD increase [95% CI 1.1-1.5], = 0.010), presence of lacunes (1.5 [95% CI 1.1-2.0], = 0.008), mean diffusivity (HR 1.1 per 1-SD increase [95% CI 1.1-1.2], = 0.001), and total brain volume (HR 1.5 per 1-SD decrease [95% CI 1.3-1.9], < 0.001) were associated with all-cause mortality after adjusting for age, sex, and vascular risk factors. Total brain volume decrease over time was associated with all-cause mortality after adjusting for age, sex, and vascular risk factors (HR 1.3 per 1-SD decrease [95% CI 1.1-1.7], = 0.035), and gray matter volume decrease remained significant after additionally adjusting for its baseline volume (1.3 per 1-SD decrease [1.1-1.6], = 0.019). Participants with a Fazekas score of 3, presence of lacunes, or lower microstructural integrity had an excess long-term mortality risk (21.8, 15.7, 10.1 per 1,000 person-years, respectively) compared with the general population.

Discussion: Excess long-term mortality risk only exists in patients with severe SVD (Fazekas score of 3, presence of lacunes, or lower microstructural integrity). This could help in assisting clinicians to predict the clinical outcomes of patients with SVD by severity.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11379354PMC
http://dx.doi.org/10.1212/WNL.0000000000209701DOI Listing

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