Chronic Kidney Diseases Clinical Trial
Official title:
Correlation of a-Klotho Levels With the Severity of Calcification in the Coronary Arteries and Aortic Valve in Patients With Chronic Kidney Disease
To define the correlation of the levels of a-Klotho with the severity of vascular calcification in the coronary arteries and aortic valve.
Vascular calcification is a well-defined risk factor for cardiovascular disease and a-Klotho
has been suggested to be an implicating factor in the process of vascular calcification,
particularly in patients with chronic kidney disease (CKD).
With this study the investigators will examine the possible correlation of the levels of
secreted a-Klotho with the severity of vascular calcification in the coronary arteries and
aortic valve in patients with CKD at different stages of CKD. More precisely, a-Klotho was
measured in 30 patients with end-stage renal disease under intermittent regular hemodialysis
and 30 outpatients with stable CKD stage III (estimated glomerular filtration rate between 30
and 59 mL/min/1.73^2).
Participants in both groups were eligible only if stable for at least the last 3 months
pre-enrollment. Calcification will be calculated using the well-established Agatston score
after submitting all patients to multi-slice computed tomography.
Continuous variables will be described as median (25th-75th percentile) and categorical
variables as N (%). Variables will be compared between groups using the non-parametric
Mann-Whitney U test for continuous and Fisher's exact test for categorical variables.
Bivariate correlations of a-Klotho levels with clinical variables and calcification scores
using the Spearman correlation coefficient will be examined. Identification of a-Klotho
determinants, log-transformation of a-Klotho levels was done because of log-normal
distribution and stepwise linear regression was used, with probability to remove the
variable>0.1. Identification of determinants of coronary and aortic calcification was done
via log-transformation of the corresponding calcium scores, (a value of 0 was assumed;
log-transformed-1 for absent calcium) and, stepwise linear regression was used as above.
Because of the small sample size, all regression estimates, and confidence intervals were
calculated with re-sampling so that robust variable selection and stable estimates can be
ensured.
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