4.7 Article

SOD3 and IL-18 Predict the First Kidney Disease-Related Hospitalization or Death during the One-Year Follow-Up Period in Patients with End-Stage Renal Disease

期刊

ANTIOXIDANTS
卷 11, 期 6, 页码 -

出版社

MDPI
DOI: 10.3390/antiox11061198

关键词

reactive oxygen species; plasma superoxide dismutase 3 (SOD3); interleukin-18 (IL-18); inflammatory cytokines; end-stage renal disease (ESRD); first kidney disease-related hospitalization or mortality

资金

  1. Ministry of Science and Technology of Taiwan [MOST-110-2313-B-005-051-MY3, MOST108-2314-B-005-052-MY3]
  2. iEGG
  3. Animal Biotechnology Center from the Feature Areas Research Center Program by the Ministry of Education in Taiwan [MOE-111-S-0023-A]
  4. Chang Gung Memorial Hospital [CRRPD-1K-0012]

向作者/读者索取更多资源

ESRD patients experience increased cardiovascular events and hospitalizations due to oxidative stress and inflammation. This study identifies SOD3 and IL-18 as strong predictors for the first kidney disease-related hospitalization or death in ESRD patients.
End-stage renal disease (ESRD) patients experience oxidative stress due to excess exogenous or endogenous oxidants and insufficient antioxidants. Hence, oxidative stress and inflammation cause endothelial damage, contributing to vascular dysfunction and atherosclerosis. Therefore, ESRD patients suffer more cardiovascular and hospitalization events than healthy people. This study aims to test the correlations between ROS, SOD3, IL-2, IL-6, and IL-18 and the first kidney disease-related hospitalization or death events in ESRD patients undergoing regular hemodialysis. A total of 212 participants was enrolled, including 45 normal healthy adults and 167 ESRD patients on regular dialysis. Blood samples from all participants were collected for ROS, SOD3, IL-2, IL-6, and IL-18 measurement at the beginning of the study, and every kidney disease-related admission or death was recorded for the next year. Multivariate analysis was conducted by fitting a linear regression model, logistic regression model, and Cox proportional hazards model to estimate the adjusted effects of risk factors, prognostic factors, or predictors on continuous, binary, and survival outcome data. The results showed that plasma SOD3 and serum IL-18 were two strong predictors of the first kidney disease-related hospitalization or death. In the Cox proportional hazards models (run in R), higher IL-18 concentration (>69.054 pg/mL) was associated with a hazard ratio of 3.376 for the first kidney disease-related hospitalization or death (95% CI: 1.2644 to 9.012), while log(SOD3) < 4.723 and dialysis clearance (Kt/V; 1.11 < value < 1.869) had a hazard ratio = 0.2730 (95% CI: 0.1133 to 0.6576) for reducing future kidney disease-related hospitalization or death. Other markers, including body mass index (BMI), transferrin saturation, total iron binding capacity, and sodium and alkaline phosphate, were also found to be significant in our study. These results reveal the new predictors SOD3 and IL-18 for the medical care of end-stage renal disease patients.

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