Analysis of prognostic factors in critically ill patients with COVID-19

Area of Science:

• Critical Care Medicine
• Infectious Diseases
• Clinical Laboratory Science

Background:

• Coronavirus Disease 2019 (COVID-19) presents a significant global health challenge.
• Identifying mortality predictors in intensive care unit (ICU) patients is crucial for effective management.
• Existing research on COVID-19 mortality factors requires further investigation, particularly in diverse patient cohorts.

Purpose of the Study:

• To identify key risk factors associated with mortality in critically ill COVID-19 patients admitted to the ICU.
• To investigate the predictive value of demographic, clinical, and laboratory markers for in-ICU mortality.
• To explore the relationship between specific inflammatory markers and patient survival.

Main Methods:

• Retrospective cohort study of 201 ICU-admitted COVID-19 patients.
• Data collection included demographics, laboratory findings (Interleukin-6, White Blood Cells), and mortality outcomes.
• Logistic regression analysis was used to determine significant predictors of in-ICU mortality.

Main Results:

• Lower levels of Interleukin-6 (IL-6) and White Blood Cells (WBC) at 24 and 48 hours post-ICU admission were significant indicators of survival.
• Demographic factors (gender, age) and comorbidities were not significant predictors of in-ICU mortality.
• Antibiotic use was associated with increased mortality risk (OR: 11.2, p = 0.031), while ventilator-associated pneumonia was higher in survivors.

Conclusions:

• Monitoring IL-6 and WBC levels within 48 hours of ICU admission is vital for predicting COVID-19 patient outcomes.
• These inflammatory markers appear more critical than demographic factors in determining survival.
• Findings may inform therapeutic strategies and ICU protocols for managing critically ill COVID-19 patients.