Lower time-averaged serum uric acid was associated with increased mortality in peritoneal dialysis patients.

Lu Li, Hongxia Zhang, Botao Zhang, Fangyuan Yang, Mengting Wang, Wenlong Qiu, Lina Fu, Menghua Chen, Na Tian
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引用次数: 0

Abstract

Background: The relationship between time-averaged serum uric acid (TA-SUA) levels and prognosis in peritoneal dialysis (PD) patients are rarely discussed.

Methods: This was a retrospective cohort study. PD patients recruited from January 1, 2011, to December 31, 2020, were included. Baseline and follow-up uric acid levels over 1 year were collected to calculate time-averaged serum uric acid (TA-SUA) levels. Patients were divided into four groups based on TA-SUA quartiles: Q1 (<5.1 mg/dl), Q2 (5.1-5.8 mg/dl), Q3 (5.8-6.8 mg/dl), and Q4 (>6.8 mg/dl).

Results: A total 487 PD patients with a mean age of 52.0 ± 14.2 were enrolled, including114 (23.4%) diabetes. Q1 (n = 121, 24.8%), Q2 (n = 118, 24.2%), Q3 (n = 125, 25.7%), and Q4 (n = 123, 25.3%). The Q1 group exhibited characteristics of increased age, malnutrition, and a higher prevalence of diabetes. During the 48.1 months follow-up time, 197 (35.8%) died, 109 (55.3%) cardiovascular disease (CVD), 38 (19.3%) infections. Kaplan-Meier analysis revealed that both all-cause mortality and cardiovascular mortality were significantly higher in the Q1 and Q4 groups (log-rank = 24.373, p < 0.001). COX regression analysis showed that decreased TA-SUA level was an independent risk factor for all-cause mortality in PD patients after adjustment for confounding factors. Each 1 mg/dl decrease in TA-SUA level was associated with a 23.46% increase in all-cause mortality (HR = 0.81, 95% CI, 0.71-0.94; p = 0.004*). Lower serum albumin level was associated with increased all-cause mortality.

Conclusion: PD patients with lower TA-SUA were older and had a higher proportion of diabetes and malnourishment than those with higher TA-SUA. Long-term exposure to low TA-SUA levels was an independent predictor of all-cause and cardiovascular mortality in PD patients.

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