## 3 Results  
There was no sex-related dependency of suPAR level and IBI value. No major complications or systemic involvement occurred. Minor post-operational complications were reported in 29 among 80 patients. There were: Herpes Simplex Virus infection (two cases), purulent fistula in operation site (four cases) wound dehiscence (eight cases), extensive swelling (15 cases). No complication was permanent. Markers of inflammation were presented in Table 2 and Figure 1. \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Parameter** & **Before Treatment 1** & **After Treatment 2** & **Note** \\ \hline CRP (mg/L) & 2.37 \(\pm\) 4.12 & 45.29 \(\pm\) 43.92 & \(p\) < 0.001 \\ suPAR (ng/Ml) & 2.62 \(\pm\) 0.52 & 2.56 \(\pm\) 0.55 & n.s. \\ IBI (no unit) & 2.66 \(\pm\) 0.54 & 2.60 \(\pm\) 0.58 & n.s. \\ \hline \hline \end{tabular} n.s.–not statistically significant. 1 one day before surgery; 2 third post-operational day.  
\end{table} 
Table 2: Markers of inflammation in investigated patients. Figure 1: Detected levels of age independent soluble urokinase-type plasminogen activator receptor (suPAR) (value independent of the patient’s age (IBI)) before and after surgical procedures (density traces). No difference (paired samples \(t\)-test, \(p\) = 0.2162), i.e., serum suPAR level was stable throughout the study. It was noted that the CRP level was not related with the suPAR level before treatment (correlation coefficient, CC = 0.21; \(p\) = 0.0587), while the increase in CRP level after treatment indicated a relatively weak relationship with suPAR level (CC = 0.34; \(p\) < 0.05). Nevertheless, when examining the relationship between CRP and suPAR level independently of the patient's age, i.e., IBI, a relatively weak relationship between variables was found before surgery (CC = 0.24; \(p\) < 0.05) as well as after surgery (CC = 0.32; \(p\) < 0.05). Obviously, the suPAR level was strongly related to the IBI value: pre-operationally (CC = 0.98; \(p\) < 0.001) and post-operationally (CC = 0.98; \(p\) < 0.001). This relationship weakens slightly in the higher suPAR values because there is a dispersion of age-related results in the suPAR, which the IBI parameter does not reveal (Figure 2). No gender (\(p\) = 0.1296), ASA (\(p\) = 0.4199), age (\(p\) = 0.8099), BMI (\(p\) = 0.3560), GFR-MDRD (\(p\) = 0.6534), ALT (\(p\) = 0.5827), AST (\(p\) = 0.834), albumin (\(p\) = 0.2735), Hb (\(p\) = 0.7346), glycaemia (\(p\) = 0.7590), chloride (\(p\) = 0.8062), potassium (\(p\) = 0.4438), sodium (\(p\) = 0.1141), WBC (\(p\) = 0.8180), CRP measured before treatment (\(p\) = 0.9373), CRP increase (\(p\) = 0.9716), suPAR measured before treatment (\(p\) = 0.3303), suPAR increase (\(p\) = 0.9759), IBI calculated before treatment (\(p\) = 0.3322), IBI increase (\(p\) = 0.9759), surgical procedure (\(p\) = 0.0833), surgical duration (\(p\) = 0.4115) relation was found. An association between persistence of post-treatment complications and serum suPAR and IBI levels determined before the treatment was statistically relevant (\(p\) < 0.05). However, this was a relatively weak relationship (correlation coefficient \(-\)0.24 and \(-\)0.23, respectively). Analogous association was not present for pre-treatment CRP levels (\(p\) = 0.4672). In addition, the regression analysis that revealed the association was only able to fit the proposed models (Figure 3) to a small extent to the experimental data: R\({}^{2}\) = 5.9% for suPAR, R\({}^{2}\) = 5.2 for IBI and R\({}^{2}\) = 0.7% for CRP. Due to the fiasco in the search for the plain relationship between the examined parameters and the occurrence of small postoperative complications, the grouping of variables (factor analysis) and the mathematical fuzzy method, i.e., neural network, were applied. By means of the Factor Analysis (FA) 3 variables (ALT, albumin and Hb) were combined together. The purpose of the FA was to obtain a small number of factors which account for most of the variability in those 3 variables.