Objectives Renal function is considered a predictor for cardiovascular disease (CVD) risk. Estimated glomerular filtration rate (eGFR) is a feasible clinical measure of kidney function. Framingham global CVD risk score (FRS) equation is the most widely accepted tool for predicting CVD risk in the general population. Most studies confirm that chronic kidney disease is an independent risk factor for CVD, but conclusion in individuals with eGFR ≥ 60 ml/min/1.73 m2 is uncertain. This study examined the association between FRS and eGFR in a Chinese population with eGFR ≥ 60 ml/min/1.73 m2.
Methods Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation and CKD-EPI equation for Asians (CKD-EPI-ASIA) were used to measure eGFR and individuals with eGFR < 60 ml/min/1.73 m2 were excluded. Pearson correlation coefficient was used to evaluate the association between FRS and eGFR after adjustment for traditional cardiovascular risk factors.
Results Significantly inverse association between FRS and eGFR was confirmed in our two analyses, with Pearson correlation coefficients of –0.669, –0.698 (eGFRCKD-EPI, P < 0.001, P < 0.001), and -0.658, -0.690 (eGFRCKD-EPI-ASIA, P < 0.001, P < 0.001). FRS was not significantly associated with eGFR after adjustment for traditional cardiovascular risk factors in 2008 (P > 0.05). However, with increasing FRS and decreasing eGFR, eGFR was independently associated with FRS in 2011 (P < 0.05).
Conclusions Renal function is a risk factor for CVD, even in individuals with eGFR ≥ 60 ml/min/1.73 m2. With increasing FRS and decreasing eGFR, renal function was independently associated with CVD risk.
Statistics from Altmetric.com
If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.