Role of Hematological Parameters in the Grading of COVID-19 and a Model to Predict the Outcome in Inpatients

Introduction Human coronaviruses, identified in the 1960s, are known culprits of respiratory infections. Classified into alpha, beta, gamma, and delta subgroups, these viruses have capacity to transition from animal reservoirs causing severe ailments humans. Notable outbreaks like 2003 acute distress syndrome (SARS) epidemic ongoing coronavirus disease 2019 (COVID-19) pandemic underscore recurring emergence novel coronaviruses with human infection potential. COVID-19, driven by 2 (SARS-CoV-2), has rapidly become a leading global cause syndrome. Immune system disruptions cytokine imbalances contribute cases, necessitating early diagnosis precise severity assessment. Methodology This retrospective cross-sectional study encompassed 211 COVID-19 patients admitted AIIMS Patna May July 2020. Clinical hematological parameters, including neutrophils, eosinophils, basophils, lymphocytes, monocytes, red white blood cell counts, platelet count, C-reactive protein (CRP), serum ferritin, d-dimer, were meticulously recorded. Patients categorized non-severe groups using National Early Warning Score (NEWS) 2. Results Our findings pivotal role markers gauging severity. Notably, such as neutrophil-to-lymphocyte ratio (NLR), derived NLR, lymphocyte monocyte ratio, CRP, ferritin exhibited notable elevation cases. Survival analysis further established predictive potential assessing progression mortality risk. We advocate for integration existing assessment frameworks foster objective clinical evaluations. Conclusion In conclusion, our unravels intricate connection between parameters. emphasize warning capabilities other predicting progression. research underscores imperative need incorporate evaluation severity, thereby providing invaluable insights enhancing practice patient outcomes.