Cardiovascular biomarkers and subclinical brain disease in the atherosclerosis risk in communities study

  • Razvan T. Dadu
  • , Myriam Fornage
  • , Salim S. Virani
  • , Vijay Nambi
  • , Ron C. Hoogeveen
  • , Eric Boerwinkle
  • , Alvaro Alonso
  • , Rebecca F. Gottesman
  • , Thomas H. Mosley
  • , Christie M. Ballantyne

Research output: Contribution to journalArticlepeer-review

67 Citations (Scopus)

Abstract

BACKGROUND AND PURPOSE - : Cerebrovascular and cardiovascular disease share common risk factors. Our goal was to determine whether levels of N-terminal brain natriuretic peptide (NT-proBNP) and cardiac troponin T measured with a highly sensitive assay (hs-cTnT) are associated with silent brain infarcts (BIs) and white matter lesions (WMLs) on MRI in the Atherosclerosis Risk in Communities (ARIC) study. METHODS - : At ARIC visit 3 (1993-1995), 1920 participants had brain MRI. NT-proBNP and hs-cTnT were measured in all individuals at ARIC visit 4 (1996-1998). Of 1920 individuals, 1112 had a follow-up MRI [2004-2006]). We analyzed the association of NT-proBNP and hs-cTnT with MRI-defined BI and WML on the initial MRI and incident BI and WML progression on the follow-up MRI in participants without heart failure, coronary heart disease, or stroke. RESULTS - : In the adjusted model, individuals in the highest NT-proBNP quartile had significantly more BI (odds ratio, 3.50; 95% confidence interval, 2.03-6.20), and WML (β-coefficient, 0.09; SE, 0.03) on the baseline MRI and more incident BI (odds ratio, 2.18; 95% confidence interval, 1.38-3.47) and WML progression (β-coefficient, 0.22; SE, 0.10) on the follow-up MRI. Individuals in the highest hs-cTnT category had more BI (odds ratio, 3.03; 95% confidence interval, 1.57-5.82) and WML (β-coefficient, 0.11; SE, 0.04) on the initial MRI and more WML progression (β-coefficient, 0.43; SE, 0.17) on the follow-up MRI. CONCLUSIONS - : NT-proBNP and hs-cTnT are independently associated with silent MRI-defined BI and WML, suggesting that cardiovascular biomarkers may be useful to identify individuals with subclinical cerebral injury.

Original languageEnglish (US)
Pages (from-to)1803-1808
Number of pages6
JournalStroke
Volume44
Issue number7
DOIs
Publication statusPublished - Jul 2013
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • brain infarcts ? white matter lesions ? cardiovascular biomarkers ? MRI ? subclinical brain injur

Fingerprint

Dive into the research topics of 'Cardiovascular biomarkers and subclinical brain disease in the atherosclerosis risk in communities study'. Together they form a unique fingerprint.

Cite this