Investigation of hematological parameters related to the severity of COVID-19 disease in Mashhad, Iran

ABSTRACT

Introduction: Human coronavirus disease 2019 (COVID-19) is an emerging respiratory disease that has become pandemic worldwide. The patients have a range of mild to severe symptoms, such as pneumonia, acute respiratory distress syndrome, arrhythmia, shock, and other organs involvement. Clinical and hematological evidence can serve as a prognostic factor to detect severe cases of COVID-19. Objectives: The present study aimed to evaluate hematological parameters related to the severity of the disease in COVID-19 patients in Mashhad, Eastern Iran. Patients and Methods: All the individuals with positive real-time reverse transcription-polymerase chain reaction test results and the patients with clinical symptoms whose computed tomography scan results were matched with the diagnosis of viral pneumonia were included in the study. The hematological examinations and complete blood count of the patients were performed by the healthcare personnel through collecting blood samples at the time of admission and discharge from the hospital. Results: In total, 189 COVID-19 patients were included in the study, 47.6% and 58.73% of whom were over 60 years old and male, respectively. Investigation of the hematological parameters revealed that the number of white blood cells, mean value of corpuscular volume, number of platelets, and lymph count had significantly increased at the time of discharge (P < 0.01). On the other hand, red blood cells, hemoglobin, hematocrit, mean corpuscular hemoglobin, mean corpuscular hemoglobin, and red cell distribution width values were significantly higher at the time of admission in comparison to discharge (P < 0.01). Furthermore, it was found that male gender had a significant relationship with the development of lymphopenia in the patients (P=0.021). Conclusion: It can be concluded that hematological parameters and inflammatory biomarkers in COVID-19 patients could potentially act as the independent factors and affect the prognosis of the disease.