Association of Hematological Profile and Inflammatory Markers with Severity of Covid-19 Patients

  • Ferdousi S Dr. Sheuly Ferdousi, Associate Professor, Department of Laboratory Medicine, Bangabandhu Sheikh Mujib Medical University, Bangladesh.
  • Begum R Dr. Rokshana Begum, Consultant, Department of Laboratory Medicine, Bangabandhu Sheikh Mujib Medical University, Bangladesh.
  • Mortaz RE Dr.Rubaiyat E Mortaz, Research Assistant, Department of Laboratory Medicine, Bangabandhu Sheikh Mujib Medical University, Bangladesh.
  • Shafiq S Dr. Sabrina Shafiq, Medical Officer, Department of Laboratory Medicine, Bangabandhu Sheikh Mujib Medical University, Bangladesh.
  • Jahan N Dr. Nasrin Jahan, Medical Officer, Department of Laboratory Medicine, Bangabandhu Sheikh Mujib Medical University, Bangladesh.
  • Fatema K Dr. Kanij Fatema, Medical Officer, Laboratory Service Division, Sheikh Hasina National Institute of Burn and Plastic Surgery (SHNIBPS), Bangladesh.
  • Joarder AI Dr. Ariful Islam Joarder, Associate Professor, Department of Cardiology, Bangabandhu Sheikh Mujib Medical University, Bangladesh.
  • Islam MS Dr. Md. Saiful Islam, Professor, Department of Laboratory Medicine, Bangabandhu Sheikh Mujib Medical University, Bangladesh.
  • Nurullah A Dr. AFM Nurullah, Professor and Principal, M Abdur Rahim Medical college, Dinajpur, Bangladesh.
Keywords: COVID-19, Hematological profile, Inflammatory markers

Abstract

Background: Corona virus disease 2019 (COVID-19) is an acute viral respiratory illness. It has been a global pandemic causing millions of deaths worldwide for more than one and half years. In our study, we will investigate the role of hematological parameters in predicting the prognosis of COVID-19 so that severely ill patients can be assessed early and managed accordingly. Objective: This study was designed to evaluate the role of hematological parameters in predicting the prognosis of COVID-19 patients. Methods: This study was conducted atthe Department of Laboratory Medicine, BSMMU, Shahbagh, Dhaka. In this study hematological and biochemical parameters were measured. Both levels were measured by automated hematology analyzer ‘Sysmex 4000XN’ and automated biochemistry analyzer Dimension EXL with LM. Results: The result of this research might help clinicians to predict the progression of disease and to prevent undue mortality by ensuring appropriate treatment.
Published
2024-01-25