A regression model for predicting increased level of serum interleukins 6 and 10 in end stage renal disease patients under chronic hemodialysis
Abstract:
Introduction
Chronic kidney disease (CKD) is progressive kidney dysfunction for more than 3 months. High level of cytokines, including interleukin (IL)-6 and 10 are described as independent risk factors for morbidity and mortality in CKD patients. Current study was designed to evaluate factors predicting levels of IL-6 and 10 in end stage renal disease patients undergoing hemodialysis.
Methods
In this analytical cross-sectional, patients referring hemodialysis ward of Loghman e Hakim hospital in 2014 were randomly selected. Demographic data, laboratory data (albumin, creatinine, calcium, phosphorus, PTH, CRP, CBC, ferritin, interleukins 6 and 10 and arterial blood gas) were measured. Correlation between interleukins and serum bicarbonate and other variables were evaluated by SPSS software and the regression models were designed with stepwise method for IL-6 and 10 in chronic hemodialysis patients.
Results
Eighty four patients with mean age of 60.98 years and mean dialysis duration of 35.05 months were evaluated. The mean serum levels of IL-6 and 10 was 6.036 pg/ml and 17.46 pg/ml. Five variables (IL-10, HCO3, PH, and diabetes) were remained in the IL-6 model (R2=0.813), and Five variables (IL-6, HCO3, PH, and diabetes) were remained in the IL-10 model (R2=0.846).
Conclusion
According to results, arterial blood bicarbonate, PH, and diabetes could consider as a prognostic factor to differentiate increased levels of IL-6 and 10 and related morbidity and mortality.
Language:
Persian
Published:
Medical Journal of Mashhad University of Medical Sciences, Volume:58 Issue: 10, 2016
Pages:
555 to 563
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