Lactate levels are widely used as an indicator of outcome in critically ill patients. We investigated the prognostic value of postoperative lactate levels for postoperative complications (POC), mortality and length of hospital stay after elective major abdominal surgery. A total of 195 patients were prospectively evaluated. Lactate levels were assessed on admission to the intensive care unit (ICU) [L0], 4 hours (L4), 12 hours (L12), and 24 hours (L24) after the operation. Demographic and perioperative clinical data were collected. Patients were monitored for complications until discharge or death. Receiver operating characteristic (ROC) curves were used to determine the predictive value of lactate levels for postoperative outcomes. The best cut-off lactate values were calculated to differentiate between patients with and without complications, and outcomes in patients with lactate levels above and below the cut-off thresholds were compared. Univariate and multivariate analyses were used to identify variables associated with POC and mortality. Seventy-six patients developed 184 complications (18 deaths), while 119 had no complications. Serum lactate levels were higher in patients with complications at all time points compared to those without complications (p < 0.001). L12 had the highest predictive value for complications (AUROC12 = 0.787; 95% CI: 0.719-0.854; p < 0.001) and mortality (AUROC12 = 0.872; 95% CI: 0.794-0.950; p < 0.001). The best L12 cut-off value for complications and mortality was 1.35 mmol/l and 1.85 mmol/l, respectively. Multivariable analysis revealed that L12 ≥ 1.35 mmol/l was an independent predictor of postoperative morbidity (OR 2.58; 95% CI 1.27-5.24, p=0.001). L24 was predictive of POC after major abdominal surgery. L12 had the best power to discriminate between patients with and without POC and was associated with a longer hospital stay.

Background and Objectives: Acute appendicitis in pediatric patients is one of the most common surgical emergencies, but the early diagnosis still remains challenging. The aim of this study was to determine the predictive value of Red blood cell distribution width (RDW), Mean platelet volume (MPV) and Platelet distribution width (PDW) in children with acute appendicitis. Materials and Methods: This study was a retrospective assessment of laboratory findings (RDW, MPV, PDW) of patients who underwent surgical treatment for acute appendicitis from January 2019 to December 2020. Result: During this period, 223 appendectomies were performed at our Institute. In 107 (43%) cases appendicitis was uncomplicated, while in 116 (46.6%) it was complicated. WBC and RDW/MPV ratio were significant parameters for the diagnosis of acute appendicitis with cut-off values of 12.86 (susceptibility: 66.3%; specificity: 73.2%) and 1.64 (susceptibility: 59.8%; specificity: 71.9%), respectively. WBC and RDW/RBC ratio were independent variables for the diagnosis of complicated appendicitis. The cut-off values were 15.05 for WBC (sensitivity: 60.5%; specificity: 70.7%) and 2.5 for RDW/RBC ratio (sensitivity: 72%; specificity: 52.8%). Conclusions: WBC is an important predictor of appendicitis and complicated appendicitis. RDW, MPV and PDW alone have no diagnostic value in pediatric acute appendicitis or predicting the degree of appendix inflammation. However, the RDW/MPV ratio can be an important predictor of appendix inflammation, with higher values in patients with more severe appendix inflammation. RDW/RBC ratio may be an important predictor of complicated appendicitis.

Introduction Viral infections are often accompanied by reactive thrombocytosis, that is, increased activity of platelets, which is especially common in infants and children. Objective This study aimed to test the diagnostic properties of platelet indices, plateletcrit (PCT), mean platelet volume (MPV) and platelet distribution width (PDW), in children with beta corona virus 2 (SARS‐CoV‐2) infection. Methods The study included 232 patients below the age of 18 admitted to the coronavirus disease (COVID‐19) isolation wards at the Institute for Child and Youth Health Care of Vojvodina. PCT, MPV and PDW values on the day of admission were recorded. In total, 245 controls were selected from those treated for SARS‐CoV‐2 negative respiratory infections. Descriptive and inferential statistical analyses were performed. Results MPV and PDW were found important as independent predictors for COVID‐19 in children. Furthermore, the joint effect of MPV and PDW for predicting COVID‐19 was confirmed. The parameters showed better sensitivity than specificity. Conclusion Our study showed that PCT is not clinically significant, while MPV and PDW have diagnostic value in predicting COVID‐19 in children. In perspective, these parameters could be implemented in the various learning algorithms in order to achieve earlier diagnosis and treatment.

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