Introduction. Health care workers have had a challenging task since the COVID-19 outbreak. Prompt and effective predictors of clinical outcomes are crucial to recognize potentially critically ill patients and improve the management of COVID-19 patients. The aim of this study was to identify potential predictors of clinical outcomes in critically ill COVID-19 patients. Methods. The study was designed as a retrospective cohort study, which included 318 patients treated from June 2020 to January 2021 in the Intensive Care Unit (ICU) of the Clinical Hospital Center “Bezanijska Kosa” in Belgrade, Serbia. The verified diagnosis of COVID-19 disease, patients over 18 years of age, and the hospitalization in ICU were the criteria for inclusion in the study. The optimal cutoff value of D-dimer, CRP, IL-6, and PCT for predicting hospital mortality was determined using the ROC curve, while the Kaplan-Meier method and log-rank test were used to assess survival. Results. The study included 318 patients: 219 (68.9%) were male and 99 (31.1%) female. The median age of patients was 69 (60-77) years. During the treatment, 195 (61.3%) patients died, thereof 130 male (66.7%) and 65 female (33.3%). 123 (38.7%) patients were discharged from hospital treatment. The cutoff value of IL-6 for in-hospital death prediction was 74.98 pg/mL (Sn 69.7%, Sp 62.7%); cutoff value of CRP was 81 mg/L (Sn 60.7%, Sp 60%); cutoff value of procalcitonin was 0.56 ng/mL (Sn 81.1%, Sp 76%); and cutoff value of D-dimer was 760 ng/mL FEU (Sn 63.4%, Sp 57.1%). IL- 6 ≥ 74.98  pg/mL, CRP ≥ 81  mg/L, PCT ≥ 0.56  ng/mL, and D- dimer ≥ 760  ng/mL were statistically significant predictors of in-hospital mortality. Conclusion. IL- 6 ≥ 74.98  pg/mL, CRP   values ≥ 81  mg/L, procalcitonin ≥ 0.56  ng/mL, and D- dimer ≥ 760  ng/mL could effectively predict in-hospital mortality in COVID-19 patients.

Introduction. Mortality among critically ill COVID-19 patients remains relatively high despite different potential therapeutic modalities being introduced recently. The treatment of critically ill patients is a challenging task, without identified credible predictors of mortality. Methods. We performed an analysis of 160 consecutive patients with confirmed COVID-19 infection admitted to the Respiratory Intensive Care Unit between June 23, 2020, and October 2, 2020, in University Hospital Center Bezanijska kosa, Belgrade, Serbia. Patients on invasive, noninvasive ventilation and high flow oxygen therapy with moderate to severe ARDS, according to the Berlin definition of ARDS, were selected for the study. Demographic data, past medical history, laboratory values, and CT severity score were analyzed to identify predictors of mortality. Univariate and multivariate logistic regression models were used to assess potential predictors of mortality in critically ill COVID-19 patients. Results. The mean patient age was 65.6 years (range, 29–92 years), predominantly men, 68.8%. 107 (66.9%) patients were on invasive mechanical ventilation, 31 (19.3%) on noninvasive, and 22 (13.8%) on high flow oxygen therapy machine. The median total number of ICU days was 10 (25th to 75th percentile: 6–18), while the median total number of hospital stay was 18 (25th to 75th percentile: 12–28). The mortality rate was 60% (96/160). Univariate logistic regression analysis confirmed the significance of age, CRP, and lymphocytes at admission to hospital, serum albumin, D-dimer, and IL-6 at admission to ICU, and CT score. Serum albumin, D-dimer, and IL-6 at admission to ICU were independently associated with mortality in the final multivariate analysis. Conclusion. In the present study of 160 consecutive critically ill COVID-19 patients with moderate to severe ARDS, IL-6, serum albumin, and D-dimer at admission to ICU, accompanied by chest CT severity score, were marked as independent predictors of mortality.

Objective:Functional outcomes were prospectively compared between the standard Roux-en-Y and Double-tract reconstruction following a total gastrectomy and D2 lymphadenectomy.Methods:One hundred ten patients with gastric cancer were divided into two groups by the type of reconstruction. Age, gender, T stage, AJCC stage, length of operation, BMI (body mass index, kg/m2), time to soft diet, postoperative leakage of the esophagojejunostomy (EJS), stricture of the EJS, meal intake, and quality of life (QOL) were recorded.Results:The mean age in the R-Y group was 61.57, with the SD of 9.53, while in the DT group the mean age was 60.17 with a SD of 9.92. The BMI decline in the R-Y group was 4.09 with a SD of 1.11, while in the DT group it was 2.85 with a SD of 1.27. We found a highly significant statistical difference between the two groups in the rate of the BMI decline (p<0,001). We found no statistically significant difference regarding QOL between the two groups, p>0.05.Conclusions:The Double tract reconstruction is a simple procedure and the rate of the BMI decline is much smaller compared to the Roux-en-Y group.