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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 the capacity to transition from animal reservoirs to causing severe respiratory ailments in humans. Notable outbreaks l...

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Autores principales: Kumar, Yogesh, Kumari, Amita, Kumar, Tribhuwan, Jha, Kamlesh, Zabihullah, Md.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10576849/
https://www.ncbi.nlm.nih.gov/pubmed/37846240
http://dx.doi.org/10.7759/cureus.45276
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author Kumar, Yogesh
Kumari, Amita
Kumar, Tribhuwan
Jha, Kamlesh
Zabihullah, Md.
author_facet Kumar, Yogesh
Kumari, Amita
Kumar, Tribhuwan
Jha, Kamlesh
Zabihullah, Md.
author_sort Kumar, Yogesh
collection PubMed
description Introduction Human coronaviruses, identified in the 1960s, are known culprits of respiratory infections. Classified into alpha, beta, gamma, and delta subgroups, these viruses have the capacity to transition from animal reservoirs to causing severe respiratory ailments in humans. Notable outbreaks like the 2003 severe acute respiratory distress syndrome (SARS) epidemic and the ongoing coronavirus disease 2019 (COVID-19) pandemic underscore the recurring emergence of novel coronaviruses with severe human infection potential. COVID-19, driven by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has rapidly become a leading global cause of severe acute respiratory syndrome. Immune system disruptions and cytokine imbalances contribute to severe cases, necessitating early diagnosis and precise severity assessment. Methodology This retrospective cross-sectional study encompassed 211 COVID-19 patients admitted to AIIMS Patna from May to July 2020. Clinical and hematological parameters, including neutrophils, eosinophils, basophils, lymphocytes, monocytes, red and white blood cell counts, platelet count, C-reactive protein (CRP), serum ferritin, and d-dimer, were meticulously recorded. Patients were categorized into non-severe and severe groups using the National Early Warning Score (NEWS) 2. Results  Our findings underscore the pivotal role of hematological markers in gauging COVID-19 severity. Notably, markers such as neutrophil-to-lymphocyte ratio (NLR), derived NLR, lymphocyte monocyte ratio, platelet lymphocyte ratio, d-dimer, CRP, and serum ferritin exhibited notable elevation in severe cases. Survival analysis further established the predictive potential of these markers in assessing disease progression and mortality risk. We advocate for the integration of these markers into existing severity assessment frameworks to foster objective clinical evaluations. Conclusion In conclusion, our study unravels the intricate connection between COVID-19 severity and hematological parameters. We emphasize the early warning capabilities of NLR, derived NLR, platelet lymphocyte ratio, and other markers in predicting disease progression. This research underscores the imperative need to incorporate hematological markers into the evaluation of COVID-19 severity, thereby providing invaluable insights for enhancing clinical practice and patient outcomes.
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spelling pubmed-105768492023-10-16 Role of Hematological Parameters in the Grading of COVID-19 and a Model to Predict the Outcome in Inpatients Kumar, Yogesh Kumari, Amita Kumar, Tribhuwan Jha, Kamlesh Zabihullah, Md. Cureus Allergy/Immunology Introduction Human coronaviruses, identified in the 1960s, are known culprits of respiratory infections. Classified into alpha, beta, gamma, and delta subgroups, these viruses have the capacity to transition from animal reservoirs to causing severe respiratory ailments in humans. Notable outbreaks like the 2003 severe acute respiratory distress syndrome (SARS) epidemic and the ongoing coronavirus disease 2019 (COVID-19) pandemic underscore the recurring emergence of novel coronaviruses with severe human infection potential. COVID-19, driven by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has rapidly become a leading global cause of severe acute respiratory syndrome. Immune system disruptions and cytokine imbalances contribute to severe cases, necessitating early diagnosis and precise severity assessment. Methodology This retrospective cross-sectional study encompassed 211 COVID-19 patients admitted to AIIMS Patna from May to July 2020. Clinical and hematological parameters, including neutrophils, eosinophils, basophils, lymphocytes, monocytes, red and white blood cell counts, platelet count, C-reactive protein (CRP), serum ferritin, and d-dimer, were meticulously recorded. Patients were categorized into non-severe and severe groups using the National Early Warning Score (NEWS) 2. Results  Our findings underscore the pivotal role of hematological markers in gauging COVID-19 severity. Notably, markers such as neutrophil-to-lymphocyte ratio (NLR), derived NLR, lymphocyte monocyte ratio, platelet lymphocyte ratio, d-dimer, CRP, and serum ferritin exhibited notable elevation in severe cases. Survival analysis further established the predictive potential of these markers in assessing disease progression and mortality risk. We advocate for the integration of these markers into existing severity assessment frameworks to foster objective clinical evaluations. Conclusion In conclusion, our study unravels the intricate connection between COVID-19 severity and hematological parameters. We emphasize the early warning capabilities of NLR, derived NLR, platelet lymphocyte ratio, and other markers in predicting disease progression. This research underscores the imperative need to incorporate hematological markers into the evaluation of COVID-19 severity, thereby providing invaluable insights for enhancing clinical practice and patient outcomes. Cureus 2023-09-14 /pmc/articles/PMC10576849/ /pubmed/37846240 http://dx.doi.org/10.7759/cureus.45276 Text en Copyright © 2023, Kumar et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Allergy/Immunology
Kumar, Yogesh
Kumari, Amita
Kumar, Tribhuwan
Jha, Kamlesh
Zabihullah, Md.
Role of Hematological Parameters in the Grading of COVID-19 and a Model to Predict the Outcome in Inpatients
title Role of Hematological Parameters in the Grading of COVID-19 and a Model to Predict the Outcome in Inpatients
title_full Role of Hematological Parameters in the Grading of COVID-19 and a Model to Predict the Outcome in Inpatients
title_fullStr Role of Hematological Parameters in the Grading of COVID-19 and a Model to Predict the Outcome in Inpatients
title_full_unstemmed Role of Hematological Parameters in the Grading of COVID-19 and a Model to Predict the Outcome in Inpatients
title_short Role of Hematological Parameters in the Grading of COVID-19 and a Model to Predict the Outcome in Inpatients
title_sort role of hematological parameters in the grading of covid-19 and a model to predict the outcome in inpatients
topic Allergy/Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10576849/
https://www.ncbi.nlm.nih.gov/pubmed/37846240
http://dx.doi.org/10.7759/cureus.45276
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