title: Prevalence and predictors of cardiovascular calcium in chronic kidney disease (from the Prospective Longitudinal RRI-CKD Study).
abstract: Although the determinants of cardiovascular calcium have been well described in dialysis patients, the prevalence and predictors in predialysis chronic kidney disease (CKD) are less known. One hundred six patients with CKD from the Renal Research Institute-CKD Study underwent multidetector computed tomography for the assessment of calcium deposition at the level of coronary arteries, thoracic aorta, aortic valve, and mitral valve. Cardiovascular risk factors and renal function-related parameters (glomerular filtration rate, glomerular filtration rate slope, serum creatinine, serum urea nitrogen, hemoglobin, albumin, calcium, phosphate, and parathyroid hormone) were included in multivariate regression models to predict cardiovascular calcium. Prevalences of calcium deposition at the level of coronary arteries, thoracic aorta, aortic valve, and mitral valve were 69%, 46%, 39%, and 16%, respectively. On multivariate analysis, coronary artery calcium score was predicted by age (p < 0.0001), gender (p = 0.0001), diabetes (p = 0.024), and history of coronary artery disease (p = 0.016), but not by renal function related parameters. Similarly, renal function related parameters were not predictive of aortic or valvular calcium. In conclusion, predialysis CKD is associated with a high prevalence of cardiovascular calcium. The extent of cardiovascular calcium in patients with predialysis CKD is related to some of the traditional risk factors for atherosclerosis but not to indexes of abnormal renal function or progression in renal dysfunction.
authors.affiliation: Zena and Michael A. Wiener Cardiovascular Institute and Marie-Josée and Henry R. Kravis Center for Cardiovascular Health, New York, New York, USA. santo.dellegrottaglie@mssm.edu
authors.forename: Santo
authors.initials: S
authors.lastname: Dellegrottaglie
authors.forename: Rajiv
authors.initials: R
authors.lastname: Saran
authors.forename: Brenda
authors.initials: B
authors.lastname: Gillespie
authors.forename: Xiaotong
authors.initials: X
authors.lastname: Zhang
authors.forename: Soyoung
authors.initials: S
authors.lastname: Chung
authors.forename: Fredric
authors.initials: F
authors.lastname: Finkelstein
authors.forename: Margaret
authors.initials: M
authors.lastname: Kiser
authors.forename: Javier
authors.initials: J
authors.lastname: Sanz
authors.forename: George
authors.initials: G
authors.lastname: Eisele
authors.forename: Alan L
authors.initials: AL
authors.lastname: Hinderliter
authors.forename: Martin
authors.initials: M
authors.lastname: Kuhlmann
authors.forename: Nathan W
authors.initials: NW
authors.lastname: Levin
authors.forename: Sanjay
authors.initials: S
authors.lastname: Rajagopalan
mesh_terms: D000328:Adult; D002114:Calcinosis / Q000000981:diagnostic imaging / Q000209:etiology / Q000378:metabolism*; D002118:Calcium / Q000378:metabolism*; D002319:Cardiovascular System / Q000000981:diagnostic imaging / Q000378:metabolism*; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D007676:Kidney Failure, Chronic / Q000150:complications* / Q000378:metabolism; D008297:Male; D008875:Middle Aged; D015995:Prevalence; D011379:Prognosis; D011446:Prospective Studies; D012307:Risk Factors; D012720:Severity of Illness Index; D014057:Tomography, X-Ray Computed
chemical_list: D002118:Calcium