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Published on: December 19, 2020
Indicators that determine disease course in COVID-19 patients
Osman Uzundere1, Cem Kıvılcım Kaçar1, Hakan Akelma1
1Department of Anesthesiology and Reanimation, University of Health Sciences Diyarbakır Gazi Yaşargil Training and Research Hospital, Diyarbakır-Turkey.
Predicting the clinical course of hospitalized COVID-19 patients is possible using comorbidity, clinical features, and laboratory findings. These factors aid in understanding disease progression and outcomes for coronavirus disease-2019 (COVID-19) patients.
Area of Science:
- Infectious Diseases
- Internal Medicine
- Critical Care Medicine
Background:
- Coronavirus disease-2019 (COVID-19) poses significant challenges in predicting patient outcomes.
- Identifying factors influencing the clinical course of hospitalized COVID-19 patients is crucial for effective management.
Purpose of the Study:
- To determine factors affecting the clinical course of hospitalized patients with COVID-19.
- To compare clinical and laboratory parameters between different patient groups based on disease severity and outcome.
Main Methods:
- A single-center, retrospective cohort study included 658 hospitalized COVID-19 patients.
- Patients were compared based on ward vs. ICU admission, intubation status, and mortality.
- Clinical data and laboratory findings were analyzed to identify significant predictors.
Main Results:
- Patients admitted to the ICU (Group 2) exhibited more comorbidities and higher KDIGO stages, older age, and elevated inflammatory markers compared to ward patients (Group 1).
- Intubated patients (Group I) had more comorbidities, higher mortality, older age, and increased D-dimer and ferritin levels compared to non-intubated patients (Group NI).
- Deceased patients (Group M) were predominantly male and showed higher CRP and LDH levels compared to survivors (Group NM).
Conclusions:
- Comorbidity, clinical features, and laboratory findings are significant predictors of the clinical course in hospitalized COVID-19 patients.
- These parameters can aid in early identification of patients at risk for severe disease progression.
- The study highlights the utility of routine clinical and laboratory data in managing COVID-19 patients.
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