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Published on: November 10, 2023
CLINICAL AND LABORATORY PREDICTORS OF ADVERSE OUTCOME WITH SEVERE COVID-19 IN COMORBID PATIENTS OF THE KARAGANDA
Y Li1, Y Zhunussov1, B Kosherova2
11Department of Infectious Diseases and Phthisiology, Karaganda Medical University, Republic of Kazakhstan.
Insights
Severe COVID-19 patients with cerebrovascular diseases, high C-reactive protein, and elevated lactate dehydrogenase have a higher risk of death. Vaccination may reduce severe outcomes in these critical patients.
Area of Science:
- Critical care medicine
- Infectious diseases
- Epidemiology
Background:
- Severe COVID-19 presents a significant global health challenge, particularly in comorbid patients.
- Understanding predictors of mortality is crucial for effective clinical management and resource allocation.
Purpose of the Study:
- To analyze clinical, laboratory, and instrumental parameters in patients with severe COVID-19.
- To identify key factors associated with lethal outcomes in severe COVID-19 cases.
Main Methods:
- Retrospective analysis of clinical, laboratory, and instrumental data from severe COVID-19 patients.
- Utilized a multifactor logistic regression model to determine predictors of mortality.
Main Results:
- Lower vaccination rates and increased dyspnea were observed in patients with lethal outcomes.
- Reduced blood oxygen saturation and extensive lung damage were prevalent in non-survivors.
- Cerebrovascular diseases, elevated C-reactive protein, and lactate dehydrogenase levels were identified as significant predictors of mortality.
Conclusions:
- Cerebrovascular diseases, elevated C-reactive protein, and lactate dehydrogenase are key predictors of unfavorable outcomes in severe COVID-19.
- These findings aid in risk stratification and targeted interventions for severe COVID-19 patients.
Aim Of The Study:
Analysis of clinical, laboratory and instrumental parameters in comorbid patients with severe COVID-19.
Methods:
A retrospective analysis was conducted on clinical, laboratory and instrumental parameters in patients with laboratory-confirmed severe COVID-19 taking into account the treatment outcome (recovery or lethal outcome). A multifactor logistic regression model was utilized to identify factors influencing lethal outcome in patients with severe COVID-19.
Results:
Patients with lethal severe COVID-19 had a lower rate of coronavirus vaccination and more frequent dyspnea compared to patients with a favorable prognosis. Additionally, blood oxygen saturation during hospitalization was lower in cases of unfavorable outcomes than in cases of favorable outcomes, and the extent of lung tissue damage was subtotal in most cases. The changes in laboratory parameters during therapy in patients with favorable and unfavorable outcomes were diverse and reflected the disease progression. According to the highly sensitive and specific developed multifactor logistic regression model, three key indicators significantly affecting the likelihood of lethal outcomes in severe COVID-19 patients are the presence of cerebrovascular diseases, and elevated levels of C-reactive protein and lactate dehydrogenase.
Conclusions:
The findings from the comprehensive analysis of clinical and laboratory parameters revealed the main predictors of unfavorable outcomes in severe COVID-19 cases: the presence of cerebrovascular diseases, and elevated levels of C-reactive protein and lactate dehydrogenase.
