4.6 Article

Prevalence and correlates of mitral annular calcification in adults with chronic kidney disease: Results from CRIC study

Journal

ATHEROSCLEROSIS
Volume 242, Issue 1, Pages 117-122

Publisher

ELSEVIER IRELAND LTD
DOI: 10.1016/j.atherosclerosis.2015.07.013

Keywords

Coronary atherosclerosis; Mitral annular calcification; Cardiac computed tomographic angiography

Funding

  1. National Institute of Diabetes and Digestive and Kidney Diseases [U01DK060990, U01DK060984, U01DK061022, U01DK061021, U01DK061028, U01DK060980, U01DK060963, U01DK060902]
  2. Perelman School of Medicine at the University of Pennsylvania Clinical and Translational Science Award [NIH/NCATS UL1TR000003]
  3. Johns Hopkins University [UL1 TR-000424]
  4. University of Maryland [GCRC M01 RR-16500]
  5. Clinical and Translational Science Collaborative of Cleveland
  6. National Center for Advancing Translational Sciences (NCATS) component of the National Institutes of Health [UL1TR000439]
  7. Michigan Institute for Clinical and Health Research (MICHR) [V 2014.07.28 UL1TR000433]
  8. University of Illinois at Chicago [CTSA UL1RR029879]
  9. Tulane University Translational Research in Hypertension and Renal Biology [P30GM103337]
  10. Kaiser Permanente NIH/NCRR [UCSF-CTSI UL1 RR-024131]
  11. NIH roadmap for Medical Research

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Background: Risk factors for mitral annular calcification (MAC) and cardiovascular disease (CVD) demonstrate significant overlap in the general population. The aim of this paper is to determine whether there are independent relationships between MAC and demographics, traditional and novel CVD risk factors using cardiac CT in the Chronic Renal Insufficiency Cohort (CRIC) in a cross-sectional study. Methods: A sample of 2070 subjects underwent coronary calcium scanning during the CRIC study. Data were obtained for each participant at time of scan. Subjects: were dichotomized into the presence and absence of MAC. Differences in baseline demographic and transitional risk factor data were evaluated across groups. Covariates used in multivariable adjustment were age, gender, BMI, HDL, LDL, lipid lowering medications, smoking status, family history of heart attack, hypertension, diabetes mellitus, phosphate, PTH, albuminuria, and calcium. Results: Our study consisted of 2070 subjects, of which 331 had MAC (prevalence of 16.0%). The mean MAC score was 511.98 (SD 1368.76). Age and white race remained independently associated with presence of MAC. Decreased GFR was also a risk factor. African American and Hispanic race, as well as former smoking status were protective against MAC. In multivariable adjusted analyses, the remaining covariates were not significantly associated with MAC. Among renal covariates, elevated phosphate was significant. Conclusion: In the CRIC population, presence of MAC was independently associated with age, Caucasian race, decreased GFR, and elevated phosphate. These results are suggested by mechanisms of dysregulation of inflammation, hormones, and electrolytes in subjects with renal disease. (C) 2015 Elsevier Ireland Ltd. All rights reserved.

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