Browsing by Author "Jandric, Milka (57214108236)"

BACKGROUND: Critically ill COVID-19 patients are usually subjected to clinical, laboratory, and radiological diagnostic procedures resulting in numerous findings. Utilizing these findings as indicators for disease progression or outcome prediction is particularly intriguing. OBJECTIVES: Exploring the significance of dynamic changes in haematological and biochemical parameters in predicting the mortality of critically ill COVID-19 patients. METHODS: The present study was a prospective and observational study involving mechanically ventilated 75 critically ill adult COVID-19 patients with hypoxemic respiratory failure. The collected data included baseline patient characteristics, treatment options, outcome, and laboratory findings at admission and 7 days after. The dynamics of the obtained findings were compared between survivors and non-survivors. RESULTS: The 28-day survival rate was 61.3%. In the group of non-survivors significant dynamic changes were found for C-reactive protein (p= 0.001), interleukin-6 (p< 0.001), lymphocyte (p= 0.003), neutrophil-lymphocyte ratio (p= 0.003), platelets (p< 0.001), haemoglobin (p< 0.001), iron (p= 0.012), and total iron-binding capacity (p< 0.001). Statistically significant changes over time were found for ferritin (p= 0.010), D-dimer (p< 0.001), hs-troponin T (p< 0.002), lactate dehydrogenase (p= 0.001), glucose (p= 0.023), unsaturated iron-binding capacity (p= 0.008), and vitamin D (p< 0.001). CONCLUSION: The dynamic changes in inflammatory, haematological and biochemical parameters can predict disease severity, and outcome. © 2025 - IOS Press. All rights reserved.

BACKGROUND: Critically ill COVID-19 patients are usually subjected to clinical, laboratory, and radiological diagnostic procedures resulting in numerous findings. Utilizing these findings as indicators for disease progression or outcome prediction is particularly intriguing. OBJECTIVES: Exploring the significance of dynamic changes in haematological and biochemical parameters in predicting the mortality of critically ill COVID-19 patients. METHODS: The present study was a prospective and observational study involving mechanically ventilated 75 critically ill adult COVID-19 patients with hypoxemic respiratory failure. The collected data included baseline patient characteristics, treatment options, outcome, and laboratory findings at admission and 7 days after. The dynamics of the obtained findings were compared between survivors and non-survivors. RESULTS: The 28-day survival rate was 61.3%. In the group of non-survivors significant dynamic changes were found for C-reactive protein (p= 0.001), interleukin-6 (p< 0.001), lymphocyte (p= 0.003), neutrophil-lymphocyte ratio (p= 0.003), platelets (p< 0.001), haemoglobin (p< 0.001), iron (p= 0.012), and total iron-binding capacity (p< 0.001). Statistically significant changes over time were found for ferritin (p= 0.010), D-dimer (p< 0.001), hs-troponin T (p< 0.002), lactate dehydrogenase (p= 0.001), glucose (p= 0.023), unsaturated iron-binding capacity (p= 0.008), and vitamin D (p< 0.001). CONCLUSION: The dynamic changes in inflammatory, haematological and biochemical parameters can predict disease severity, and outcome. © 2025 - IOS Press. All rights reserved.

INTRODUCTION: This study was created to analyze dynamic alterations in coagulation, hematological and biochemical parameters and their association with mortality of COVID-19 patients. To identify the most sensitive biomarkers as predictors of mortality more research is required. METHODS: The present study was a prospective, one-year-long observational study conducted on all critically ill, COVID-19 patients with respiratory failure. The following data were collected: demographic and clinical characteristics of the study population, comorbidities, coagulation, biochemical and hematological parameters. The primary outcome was the proportion of patients who died. RESULTS: 91 patients with median age 60 (50-67), 76.9% male, met the acute respiratory distress syndrome criteria. It was tested whether dynamic change (delta-Δ) of parameters that were found to be predictors of mortality is independently associated with poor outcome. Adjusted (multivariate) analysis was used, where tested parameters were corrected for basic and clinical patients characteristics. The only inflammatory parameter which dynamic change had statistically significant odds ratio was ΔCRP (p < 0.005), while among coagulation parameters statistically significant OR was found for Δ fibrinogen (p < 0.005) in predicting mortality. CONCLUSION: Monitoring of coagulation, hematological and biochemical parameters abnormalities and their dynamical changes can potentially improve management and predict mortality in critically ill COVID -19 patients. © 2023 - IOS Press. All rights reserved.

INTRODUCTION: This study was created to analyze dynamic alterations in coagulation, hematological and biochemical parameters and their association with mortality of COVID-19 patients. To identify the most sensitive biomarkers as predictors of mortality more research is required. METHODS: The present study was a prospective, one-year-long observational study conducted on all critically ill, COVID-19 patients with respiratory failure. The following data were collected: demographic and clinical characteristics of the study population, comorbidities, coagulation, biochemical and hematological parameters. The primary outcome was the proportion of patients who died. RESULTS: 91 patients with median age 60 (50-67), 76.9% male, met the acute respiratory distress syndrome criteria. It was tested whether dynamic change (delta-Δ) of parameters that were found to be predictors of mortality is independently associated with poor outcome. Adjusted (multivariate) analysis was used, where tested parameters were corrected for basic and clinical patients characteristics. The only inflammatory parameter which dynamic change had statistically significant odds ratio was ΔCRP (p < 0.005), while among coagulation parameters statistically significant OR was found for Δ fibrinogen (p < 0.005) in predicting mortality. CONCLUSION: Monitoring of coagulation, hematological and biochemical parameters abnormalities and their dynamical changes can potentially improve management and predict mortality in critically ill COVID -19 patients. © 2023 - IOS Press. All rights reserved.

In many areas of the world, critical care providers caring for COVID-19 patients lacked specific knowledge and were exposed to the abundance of new and unfiltered information. With support from the World Health Organization, we created a multimodal tele-education intervention to rapidly share critical care knowledge related to COVID-19 targeting providers in a region of Southeastern Europe. We delivered 60-minute weekly interactive tele-education sessions over YouTube™ between March and May 2020, supplemented by a dedicated webpage. The intervention was reinforced using a secure social media platform (Viber™) providing continuous rapid knowledge exchange among faculty and learners. A high level of engagement was observed with over 2,000 clinicians participating and actively interacting over a six-week period. Surveyed participants were highly satisfied with the intervention. Tele-education interventions using social media platforms are feasible, low-cost, and effective methods to share knowledge during the COVID-19 pandemic. © The Author(s) (2020).