CLINICAL AND LABORATORY PREDICTORS OF ADVERSE OUTCOME WITH SEVERE COVID-19 IN COMORBID PATIENTS OF THE KARAGANDA REGION, REPUBLIC OF KAZAKHSTAN.

Abstract

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.