Key result
Estimated GFR by the CKD-EPI CysC equation was independently and negatively associated with carotid-femoral pulse wave velocity (β = -0.105, P = 0.042) after multivariable adjustment.
Why the study?
The relationship between renal function estimation and large artery properties was unclear due to the different methods used to quantify glomerular filtration.
Cross-Sectional (n=431)
No
In a Chinese health examination cohort, arterial stiffness measured by c-fPWV is independently and negatively correlated with eGFR when estimated using the CKD-EPI CysC equation.
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CysC-based eGFR was independently associated with arterial stiffness; hypothesis-generating and should not yet change practice.
Background . The association between arterial stiffness and cardiovascular risk in CKD and ESRD patients is well established. However, the relationship between renal function estimation and properties of large arteries is unclear due to the four different methods used to quantify glomerular filtration. This study investigated the relationship between carotid‐femoral pulse wave velocity (c‐fPWV), as a measure of arterial stiffness, and accepted metrics of renal function. Methods . This cross‐sectional study was conducted in 431 health examination individuals in China, enrolled from January 2017 to June 2019. c‐fPWV and blood pressure were measured, and blood samples were obtained for all participants. Four different methods were used to determine the estimated glomerular filtration rate (eGFR) as described by the Chronic Kidney Disease Epidemiology Collaboration (CKD‐EPI) and Modification of Diet in Renal Disease (MDRD) equations: (i) CKD‐EPI SCr formula based on SCr, (ii) CKD‐EPI CysC formula based on CysC, (iii) CKD‐EPI SCr/CysC formula based on Cr and CysC, and (iv) MDRD. Results . Of all of the study participants (average age 53.1 ± 13.0 years, 68.1% male), 23.7% had diabetes mellitus and 66.6% had hypertension. The average eGFR values determined by the CKD‐EPI SCr , CKD‐EPI CysC , CKD‐EPI SCr/CysC , and MDRD equations were 91.9 ± 15.6, 86.8 ± 21.4, 89.6 ± 18.3, and 90.7 ± 16.6 ml/min/1.73m 2, respectively. c‐fPWV was significantly and negatively correlated with eGFR determined by CKD‐EPI SCr ( r = −0.336, P < 0.001), CKD‐EPI CysC ( r = −0.385, P < 0.001), CKD‐EPI SCr/CysC ( r = −0.378, P < 0.001), and MDRD ( r = −0.219, P < .001) equations. After adjusting for confounding factors, c‐fPWV remained significantly and negatively correlated with eGFR determined by the CKD‐EPI CysC equation ( β = −0.105, P = 0.042) and significantly and positively correlated with age ( β = 0.349, P ≤ 0.01), systolic pressure ( β = 0.276, P ≤ 0.01), and hypoglycemic drugs ( β = 0.101, P = 0.019). Conclusion . In a health examination population in China, c‐fPWV is negatively correlated with eGFR determined by four different equations; however, only the metric of eGFR determined by the equation for CKD‐EPI CysC showed an independent relation with c‐fPWV.
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Tang et al. (2022) conducted a cross-sectional in General health examination population evaluated for renal function and arterial stiffness (n=431). Estimated glomerular filtration rate (eGFR) determined by CKD-EPI CysC equation vs. eGFR determined by CKD-EPI SCr, CKD-EPI SCr/CysC, and MDRD equations was evaluated on Carotid-femoral pulse wave velocity (c-fPWV) (r = -0.385 (unadjusted), β = -0.105 (adjusted), p=0.042). Estimated GFR by the CKD-EPI CysC equation was independently and negatively associated with carotid-femoral pulse wave velocity (β = -0.105, P = 0.042) after multivariable adjustment.
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