Prediction of Poor Outcome Using the Urea to Albumin Ratio in Thoracic Empyema.

Purpose: The prognostic performance of urea-to-albumin ratio (UAR) has been assessed in various pulmonary and nonpulmonary conditions, but never in thoracic empyema. Therefore, our aim was to determine whether this marker has the ability to predict outcome in such patients. Methods: A single-center retrospective study was conducted in a Clinic of Thoracic Surgery at a University Hospital between January 2021 and October 2023. A total of 84 patients who underwent emergency surgery due to thoracic empyema were involved. Serum levels of urea and albumin at admission were used to calculate UAR. We analyzed area under receiver operating characteristics (AUROC) curves of UAR, systemic inflammatory response syndrome (SIRS) and quick-sequential organ failure assessment (qSOFA), and compared their prognostic performance. Results: The identified in-hospital mortality was 10.7%. The UAR showed the best ability to prognosticate mortality compared to qSOFA (AUROC = 0.828 vs 0.747) and SIRS (AUROC = 0.828 vs 0.676). We established a sensitivity of 87.5% and specificity of 74.2% at optimal cut-off value UAR > 51.1 for prediction of adverse outcome. Conclusion: In patients with thoracic empyema urea-to-albumin ratio showed significant prognostic performance and a potential for clinical application as a low cost and widely available predictor of death.

Urea to Albumin Ratio Is an Excellent Predictor of Death in Patients With Complicated Intra-Abdominal Infections.

Background: The urea to albumin ratio (UAR) has shown a prognostic value in various clinical settings, however, no study has yet investigated its ability to predict outcome in complicated intra-abdominal infections (cIAIs). Therefore, our aim was to evaluate the association between UAR and mortality in such patients. Patients and Methods: A single-center prospective study including 62 patients with cIAIs was performed at a University Hospital Stara Zagora for the period November 2018 to August 2021. Various routine laboratory and clinical parameters were recorded before surgery and on post-operative day 3. We used serum levels of urea and albumin to calculate the UAR. Results: The observed in-hospital mortality was 14.5%. Non-survivors had higher pre- and post-operative median of UAR than survivors (88.39 vs. 30.99, p < 0.0001 and 106.18 vs. 26.58, p < 0.0001, respectively). Lethal outcome was predicted successfully both by UAR before surgery (area under receiver operating characteristics [AUROC] curves = 0.889; p < 0.0001) at a threshold of 61.42 and on third post-operative day (AUROC = 0.943; p < 0.0001) at a threshold = 55.89. Conclusions: Peri-operative UAR showed an excellent ability for prognostication of fatal outcome in patients with cIAIs.

Better chance of survival is associated with higher neutrophil CD16 expression in patients with complicated intra-abdominal infections.

Aim: The ability of neutrophil CD16 (nCD16) expression to predict outcome in complicated intra-abdominal infections (cIAIs) has not yet been studied; therefore we aimed to evaluate its potential prognostic value in such patients. Methods: Between November 2018 and August 2021 a single-center prospective study was performed in the Department of Surgical Diseases at a University Hospital Stara Zagora. A flow cytometry was used to measure the levels of nCD16 before surgery and on the 3rd postoperative day (POD) in 62 patients with cIAIs. Results: We observed a mortality rate of 14.5% during hospitalization. Survivors had significantly higher perioperative expression of nCD16 than non-survivors (P = 0.02 preoperatively and P = 0.006 postoperatively). As predictor of favorable outcome we found a good predictive performance of preoperative nCD16 (AUROC = 0.745) and a very good predictive performance of postoperative levels (AUROC = 0.846). An optimal preoperative threshold nCD16 = 34.75 MFI permitted prediction of survival with sensitivity and specificity of 66.7% and 77.8%, respectively. A better sensitivity of 72.5% and specificity of 85.7% were observed for threshold = 54.8 MFI on the 3rd POD. Conclusion: Perioperative neutrophil CD16 expression shows a great potential as a predictor of favorable outcome in patients with cIAIs.

Prediction of outcome using CD14++CD16-, CD14++CD16+ and CD14+CD16++ monocyte subpopulations in patients with complicated intra-abdominal infections.

There is still no study investigating the prognostic performance of CD14++CD16-, CD14++CD16+ and CD14+CD16++ monocyte subpopulations in complicated intra-abdominal infections (cIAIs); therefore, we aimed to evaluate the association between monocyte subtypes and outcome in such patients. A single-center prospective study was conducted at a University Hospital Stara Zagora between November 2018 and August 2021. Preoperatively and on the 3rd postoperative day (POD), we measured the levels of CD14++CD16-, CD14++CD16+ and CD14+CD16++ monocytes in peripheral blood using flow cytometry in 62 patients with cIAIs and 31 healthy controls. Nine of the 62 patients died during hospitalization. Survivors had higher pre-surgery percentages of CD14++CD16- classical monocytes and higher percentage of these cells predicted favorable outcome in ROC analysis (AUROC = 0.781, p = 0.008). The CD14++CD16+ intermediate monocyte percentages were higher in non-survivors both pre- and postoperatively but only the higher preoperative values predicted a lethal outcome (AUROC = 0.722, p = 0.035). For CD14+CD16++ non-classical monocytes, non-survivors had lower percentages on day 3 post-surgery and low percentage was predictive of lethal outcome (AUROC = 0.752, p = 0.046). Perioperative levels of monocyte subpopulations in peripheral blood show a great potential for prognostication of outcome in patients with cIAIs.

Prognostic performance of neutrophil CD64 expression in patients with complicated intra-abdominal infections - a prospective study.

No study yet analyzed the prognostic abilities of neutrophil CD64 expression (nCD64) in complicated intra-abdominal infections (cIAIs), therefore our aim was to evaluate the possible association between this biomarker and outcome in such patients. This single-center prospective study was conducted in the Department of Surgical Diseases at a University Hospital 'Prof. Dr. Stoyan Kirkovich' Stara Zagora for the period November 2018 - August 2021. We used flow cytometry to measure the percentage of nCD64 preoperatively and on the 3rd postoperative day (POD) in 62 patients with cIAIs and 31 healthy controls. Of the 62 enrolled patients, nine (14.5%) died during hospitalization. The perioperative expression of nCD64 was significantly higher in non-survivors compared to survivors (p = 0.02 before surgery and p = 0.024 after surgery). ROC Curve analysis revealed the good prognostic value of pre- and postoperative nCD64 levels as mortality predictors (AUROC = 0.744 and 0.765, respectively). Preoperatively, the identified sensitivity and specificity for nCD64 cut-off = 94.8% were 66.7% and 84.6%, respectively and on the 3rd POD for nCD64 cut-off = 84.85% we observed a sensitivity of 71.4% and a specificity of 78.8%. Neutrophil CD64 shows good prognostic value in patients with cIAIs both preoperatively and on the 3rd POD.

A pandemic recap: lessons we have learned.

On January 2020, the WHO Director General declared that the outbreak constitutes a Public Health Emergency of International Concern. The world has faced a worldwide spread crisis and is still dealing with it. The present paper represents a white paper concerning the tough lessons we have learned from the COVID-19 pandemic. Thus, an international and heterogenous multidisciplinary panel of very differentiated people would like to share global experiences and lessons with all interested and especially those responsible for future healthcare decision making. With the present paper, international and heterogenous multidisciplinary panel of very differentiated people would like to share global experiences and lessons with all interested and especially those responsible for future healthcare decision making.