Investigating the Correlation of Inflammatory Interleukins with Biochemical and Haematological Variables Pre- and Post-Dialysis
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Kidney failure is the deterioration of kidney function and its inability to filter and excrete waste and excess water from the blood. This function is replaced by dialysis, which is considered a supportive treatment only for those suffering from severe kidney dysfunction or chronic kidney failure. The purpose of this study was to assess the predicted changes in blood parameters and their association to inflammatory interleukins before and after dialysis in patients with renal failure. Blood samples were taken before and after hemodialysis from 100 patients at Al-Ramadi Teaching Hospital. The patients ranged in age from 25 to 70 years old, with 52 men and 48 women. The statistical results of this study showed a significant decrease (P<0.05) in the mean values of urea, creatinine, uric acid, magnesium, phosphorus, ALP, AST, ALT, WBCs, and platelets post-dialysis compared to pre-dialysis. While there was a significant increase (P<0.05) in the mean values of serum albumin, protein, sodium, calcium, ferritin, iron, RBCs, hemoglobin, interleukin-6, and interleukin-10 post-dialysis compared to pre-dialysis. Linear regression results for pre-dialysis samples showed that sodium, total protein, and AST levels were directly correlated with elevated IL-10 levels. While total protein was directly correlated with elevated IL-6 levels. Conversely, RBCs counts were inversely correlated with elevated IL-6 levels. Results in post-dialysis samples showed that creatinine, total protein, sodium, and AST levels were directly correlated with elevated IL-10 levels. While magnesium and ALT levels were directly correlated with elevated IL-6 levels. Conversely, calcium levels were inversely correlated with elevated IL-6 levels. In conclusion, the findings revealed a substantial association between inflammatory interleukins and some blood parameters pre- and post-dialysis. As a result, larger sample sizes are required in future studies to confirm the study's findings.
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