Comparison of the hematologic indices and the serum aterogenic index before the development of renal DYS fonkison and after the development of renal DYS function in autosomal dominant polycystic renal disease

Autosomal dominant polycystic kidney disease (ADPKD) is an inherited multisystem disorder characterized by renal and extrarenal fluid-filled cyst formation and increased kidney volume eventually leading to end-stage renal disease. Before the development of renal dysfunction and after the development of late-stage renal dysfunction, the need to investigate new inflammatory markers has emerged in terms of providing alternative treatment options for both follow-up and suppressing the inflammatory process in the prediction of progression, management of complications and treatment process. In this study, we aimed to provide guidance by comparing hematological indices, which are easily accessible and accepted as inflammation markers, and serum atherogenic index in autosomal dominant polycystic kidney disease, which is an inflammation process, in the early and late period after the development of renal dysfunction. In our study, the biochemical and hemogram parameters of the patients followed in the Fırat University Hospital Nephrology outpatient clinic between 2006-2021 were retrospectively analyzed from the polyclinic records. During this period, 68 patients who applied to the outpatient clinic were included in the study. Analyzes were evaluated in 22 package programs of SPSS (Statistical Package for Social Sciences; SPSS Inc., Chicago, IL). In the study, descriptive data are shown as n and % values in categorical data, and mean±standard deviation values in continuous data. The normality analysis of the measurement data was done with the Shapiro Wilk analysis. Mann Whitney U analysis was used to compare the two-category metric data. Wilcoxon analysis was applied to compare early and late measurement data with each other. Late period-early period=means of change of all parameters were calculated. The statistical significance level in the analyzes was accepted as p<0.05. Of the participants in the study, 29 (42.6%) were female and 39 (57.4%) were male. While no significant difference was observed between the late stage platelet lymphocyte ratio (PLO), neutrophil lymphocyte ratio (NLR), and serum atherogenic index (AIP) levels of the patients included in the study after the development of early and renal dysfunction; patients' urea (p=0.006), creatine (p<0.001), potassium (p=0.009), monocytes (p=0.006), MCV (mean corpuscular volume) (p<0.001) and MPV (mean platelet volume) (p= 0.001) values increased significantly, while Lymphocyte (p=0.026) and MCHC (p=0.001) values decreased significantly. In the early period, there was a positive relationship between NLR and PLR, urea, creatinine and neutrophils; A significant negative correlation was found between NLR and calcium, albumin, lymphocyte and eosinophil. There was a significant negative correlation between PLR and potassium, albumin, hemoglobin, hematocrit, WBC and lymphocyte. A positive and significant correlation was observed between PLR and urea and PLT. There was a significant negative correlation between PLR and calcium, total cholesterol, hemoglobin, hematocrit, WBC, lymphocyte and eosinophil. In the late period, there was a positive correlation between AIP and triglyceride and MCV; A significant negative correlation was observed between AIP and HDL and basophil. A positive correlation was found between NLR and PLR, urea, creatinine and neutrophils; A significant negative correlation was found between NLR and calcium, albumin, lymphocyte and eosinophil. A positive correlation was observed between PLR and PLT, and a negative significant relationship was observed between PLR and WBC and lymphocyte. Within the change values, a significant positive correlation was observed between AIP and LDL and triglyceride, and a negative significant correlation was observed between AIP and monocytes. There was a positive relationship between NLR and neutrophils, and a negative significant relationship between NLR and calcium, albumin, lymphocytes and eosinophils. There was a significant negative correlation between PLR and potassium, albumin, hemoglobin, hematocrit, WBC and lymphocyte. As a result, we think that easily accessible NLR, AIP, PLO, MCV and MPV can be a guide in demonstrating inflammation in ADPKD and managing complications associated with the inflammation process, leading new studies for alternative treatment options, and predicting cardiovascular risks. However, we believe that this issue will be clarified as a result of more extensive studies. Keywords: ADPKD, Neutrophil-lymphocyte ratio, Platelet-lymphocyte ratio, Serum atherogenic index, MPV (mean platelet volume), MCV (mean corpuscular volume)