Background and objectives: Cardiac troponin T (cTnT) is independently associated with cardiovascular complications in patients with chronic kidney disease (CKD). The present study aimed to determine the factors related to cTnT levels in pre-dialysis CKD patients, which result to increased cardiovascular risk.Methods: A total of 147 patients, with a mean age of 69.1 ± 14.7 years old, were enrolled. These participants were classified to estimated glomerular filtration rate (eGFR) and albuminuria categories, according to the Kidney Disease Improving Global Outcomes 2012 criteria. The estimated pulse wave velocity (ePWV), as an index of arterial stiffness, was calculated using an equation, which included age and mean blood pressure. Coronary arterial disease (CAD) and left ventricular hypertrophy (LVH) were also recorded. The cTnT concentrations were measured by high-sensitivity immunoassay. The significant correlation between cTnT and different variables was determined, and the significant risk factors for high cTnT levels were defined.Results: A significant correlation was observed between cTnT serum concentrations and age, triglycerides/HDL-C, ePWV, glucose, phosphate (P), intact-parathyroid hormone (i-PTH), serum uric acid and albuminuria, although the association with eGFR was shown to be significantly inverse. The multifactorial model revealed that current smoking (p = 0.03, OR = 8.3, 1.15-60.3), CAD (p = 0.001, OR = 25.2, 5.6-113.6), low eGFR (p = 0.001, OR = 0.9, 0.8-0.9), high ePWV (p = 0.04, OR = 2.6, 1.0-6.8), and primary renal disease (p = 0.001, OR = 3.8, 1.7-8.5) are independent risk factors for elevated cTnT levels, after adjusting for age, gender, obesity and albuminuria.Conclusions: Arterial stiffness, smoking, primary renal disease and unregulated metabolic abnormalities may have an independent association between high cTnT levels and low eGFR in pre-dialysis CKD patients, with or without overt cardiovascular disease.
Background–Aim: Uric acid is considered a marker of high cardiovascular risk. We investigated the association between serum uric acid and coronary arterial disease (CAD) in pre-dialysis chronic kidney disease (CKD) patients. Methods: We enrolled 110 subjects on mean age 69.02 ± 14.3 years old. The participants were categorized for both estimated glomerular filtration rate (eGFR) and albuminuria according to criteria 2012 of the Kidney Disease Improving Global Outcomes. Estimated pulse wave velocity (ePWV) was calculated using an equation including the age and mean blood pressure. The CAD prevalence rate was recorded. Results: The patients were divided in two groups according to uric acid cutoff point value related to high ePWV. The patients with higher uric acid were older and they had significantly higher systolic blood pressure, pulse pressure, and parathyroid hormone, but significantly lower eGFR and 1,25(OH)2 Vit D3 levels. The association between high uric acid and both high ePWV and CAD occurrence was found to be significant ( x2 = 6.7, P = .008 and x2 = 4.1, P = .03, respectively), although the relationship with albuminuria was found to be nonsignificant. In a built multifactorial model, the low serum uric acid rather than the high was found to be an independent predictor for CAD demonstration entering traditional and specific confounders. Conclusion: The low serum uric acid levels were proved to be a significant predictor for CAD accounting potential covariates, even though the high uric acid per se was found to be connected with cardiovascular disease characteristics including arterial stiffness in predialysis CKD patients.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.