Factors influencing the occurrence of hyperuricemia and poor cardiac and renal outcomes in chronic kidney disease.

ABSTRACT

OBJECTIVE: The aim of our study was to analyze the factors influencing the occurrence of hyperuricemia and poor cardiac and renal outcomes in chronic kidney disease (CKD). PATIENTS AND METHODS: One hundred and sixteen patients with CKD admitted to our hospital from January 2022 to September 2022 were picked as the subjects. Fasting venous blood of these subjects was collected to value the serum uric acid (SUA) levels on an automatic biochemical analyzer. Patients were then grouped as the CKD-only group (n=80) and hyperuricemia group (n=36), according to the SUA results, or the good prognosis group (n=88) and poor prognosis group (n=28), according to the presence of cardiovascular diseases. The changes in laboratory indexes and clinical data were analyzed and compared. Multivariate logistic regression analysis was used to analyze the risk factors for combined hyperuricemia and the risk factors for poor cardiac and renal outcomes in patients with CKD. The correlation between SUA level and cardiac and renal indexes was analyzed by Pearson analysis. RESULTS: Patients in the CKD hyperuricemia group had markedly higher content of systolic blood pressure (SBP), diastolic blood pressure (DBP), B-type natriuretic peptide (BNP), urinary retinol-binding protein (RBP), urinary N-acetyl-ß-D glucosidase (NAG), much higher proportion of heart failure episodes history, and much lower content of total cholesterol (TC), albumin (Alb), hemoglobin (Hb), urinary α1-microglobulin (α1-MG), and glomerular filtration rate (eGFR) than the CKD-only group (p < 0.05). SUA, BNP, SBP, and history of heart failure episodes were independent risk factors for combined hyperuricemia in CKD patients (p < 0.05). Besides, eGFR, albumin, and hemoglobin were independent protective factors for combined hyperuricemia in CKD patients (p < 0.05). Compared with the good prognosis group, the content of BNP, SBP, DBP, urinary RBP, urinary NAG, and SUA was much higher, the proportion of heart failure episodes history was obviously higher, and the levels of Alb, Hb, TC, eGFR, and urinary α1-MG were sharply lower in the poor prognosis group (p < 0.05). SUA, BNP, SBP, and history of heart failure episodes were independent risk factors for poor cardiac and renal outcomes (p < 0.05), and eGFR was an independent protective factor for poor cardiac and renal outcomes in patients with CKD (p < 0.05). The SUA level in CKD patients was positively correlated with BNP and SBP (r=0.463, 0.215, p < 0.05), but negatively correlated with eGFR (r=0.463, 0.215, p < 0.05). CONCLUSIONS: The serum SUA level was elevated with the aggravation of the CKD stage. High serum SUA level is a risk factor for the development of hyperuricemia and poor cardio-renal outcomes in CKD patients, suggesting that early monitoring of changes in SUA levels may help assess the risk of cardio-renal outcomes in CKD patients.