Abstract
Abstract Background and Aims Recent studies have been implicated that abnormally increased glomerular filtration rate, defined as renal hyperfiltration, may be a risk factor for the development of renal damage and cardiovascular disease. Herein, we aimed to investigate the possible relationship between renal hyperfiltration(RHf) and pulse wave velocity, ambulatory blood pressure measurements and clinical parameters. Method All individuals included the study were between 18 and 65 years old. The eGFR (CKD-EPI) values of above 140 ml/min/1.73 m² were defined as RHf. Nineteen individuals in the renal hyperfiltration group and 20 in the control group were included. Blood and urine samples of the cases were examined. The individuals with diabetes, obesity, pregnancy, hypertension, cardiovascular disease, peripheral artery disease, cerebrovascular disease, chronic rheumatological disease, and thyroid dysfunction were excluded from the study. The parameters related arterial stiffness and ambulatory blood pressure measurements were obtained in all cases. The results were analyzed statistically. Results The two groups were similar in terms of gender, age, BMI and smoking. In RHf group, total cholesterol, 24-hour urine proteinuria and albuminuria, SBP, DBP, MAP and PP values were found higher than control group. Interestingly, the differences of “night time” measurements of all these hemodynamic parameters were more pronounced in RHf group. The trend of “non-dipper” pattern was to be higher in the hyperfiltration group. In arterial stiffness parameters the augmentation pressure (AP), central systolic pressure (CSP), reflection magnitude (RM), central diastolic pressure (CBP), and pulse pressure amplification (PPA) were found significantly different. Pearson's corelation analysis revealed that AP, CSP, CBP was the positively; RM was negatively correlated with eGFR in hyperfiltration group (Table 1 and 2). Multivariate linear regression analysis revealed that AP, 24-hour proteinuria and mean arterial pressure were the independent parameters related to hyperfiltration. Logistic regression showed that only AP was an independent predictor of hyperfiltration (p = 0.001, OR = 0.84; 0.757-0.935, CI 95%). Conclusion We found that augmentation pressure is the most important independent parameter correlated with RHf among arterial stiffness measurements. The vascular risk may be increased in this population.
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