Investigation of Biochemical and Inflammatory Markers in COVID-19 Patients Hospitalized in the Intensive Care Unit: An Observational Study in Northern Iran

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Background: Since the first documentation of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), there has been a notable emphasis on it in a brief period, especially as the mortality rate and confirmed cases steadily rise. The rapid and accurate laboratory identification of an ongoing COVID-19 infection is essential for efficient pandemic control. For diagnostic purposes, various testing methods have been developed to detect the severity of COVID-19. These diagnostic methods play a crucial role in identifying and managing the spread of the virus within communities worldwide. Methods: This cross-sectional observational study was conducted from February to June 2020, spanning four months. Patient clinical records and laboratory biomarkers data were collected. Results: In this study, 263 patients were involved, with an average age of 59.38 ± 15.26 years, and 51.3% of them (135 patients) were male. The typical hospital stay was 9.25 ± 6.9 days. The patients were divided into three groups: Those who survived (49.4%), those receiving treatment (4.9%), and those who did not survive (45.6%), with all treated patients surviving. An important connection was observed between serum lactate dehydrogenase (LDH), creatine phosphokinase (CPK), urea, leukocytosis, lymphopenia, high polymorphonuclear neutrophil (PMN) counts, and poor patient outcomes (P-value < 0.05). Elevated aspartate transaminase (AST) levels also showed a close relationship with adverse outcomes (P-value = 0.05). Furthermore, most patients with hyponatremia, high fasting blood glucose, and elevated serum creatinine levels did not survive, despite lacking statistical significance. Conclusions: Serum biomarkers serve as prognostic indicators for the severity of COVID-19 patients. Leveraging these markers aids in promptly diagnosing patients at high mortality risk and facilitates more effective treatments in the disease's initial phases. These biomarkers can help healthcare providers identify patients at higher risk of complications and guide the implementation of targeted interventions to improve patient outcomes.

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