Publications by authors named "V Koulouras"
Objective: To investigate the metabolomic profiles associated with different immune activation states in sepsis patients.
Design: Subgroup analysis of the PROVIDE (a Personalized Randomized trial of Validation and restoration of Immune Dysfunction in severe infections and Sepsis) prospective clinical study.
Setting: Results of the PROVIDE study showed that patients with sepsis may be classified into three states of immune activation: 1) macrophage-activation-like syndrome (MALS) characterized by hyperinflammation, sepsis-induced immunoparalysis, and 3) unclassified or intermediate patients without severe immune dysregulation.
Article Synopsis
- Aging affects how driving pressure impacts mortality in patients with ARDS, particularly highlighting that this relationship may be stronger in older individuals, especially those aged 80 and above.!* -
- A study analyzed data from over 4,500 ARDS patients and found that the difference in driving pressure between those who survived and those who did not varied significantly with age, indicating a critical age-related factor in mortality risk.!* -
- The results suggest that a personalized approach to mechanical ventilation based on a patient's age could be beneficial for managing ARDS, as certain thresholds for driving pressure may have different implications for older populations.!*
Article Synopsis
- Researchers classified sepsis into four clinical phenotypes using a simplified algorithm based on six admission parameters in a study involving 1498 patients, including those with bacterial sepsis and severe COVID-19.
- The analysis found distinct characteristics and outcomes for the phenotypes, with Phenotype α showing low mortality risk and Phenotype δ having the highest mortality.
- The study concludes that this phenotyping method is effective for predicting outcomes in both bacterial sepsis and severe COVID-19, suggesting it could have important prognostic applications.
Objectives: It is suggested that sepsis may be classified into four clinical phenotypes, using an algorithm employing 29 admission parameters. We applied a simplified phenotyping algorithm among patients with bacterial sepsis and severe COVID-19 and assessed characteristics and outcomes of the derived phenotypes.
Design: Retrospective analysis of data from prospective clinical studies.
This study explored the associations between personality dimensions, burnout, and psychopathology in healthcare professionals in intensive care units (ICUs). This study further aimed to discern the differences in these relationships when considering the variables of critical care experience (less than 5 years, 5-10 years, and more than 10 years), profession (nurses versus intensivists), and the urban size of the city where the ICU is located (metropolitan cities versus smaller urban cities). This cross-sectional investigation's outcomes are based on data from 503 ICU personnel, including 155 intensivists and 348 nurses, in 31 ICU departments in Greece.
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