A review article on biochemical predictors of COVID-19 infection
The coronavirus disease 2019 (COVID-19) pandemic is a scientific, medical, and social challenge. The complexity of the severe acute respiratory syndrome coronavirus 2 is centered on the unpredictable clinical course of the disease that can rapidly develop causing severe and deadly complications. The...
Main Authors: | , , |
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Format: | Article |
Language: | English |
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Wolters Kluwer Medknow Publications
2021-01-01
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Series: | Journal of Association of Pulmonologist of Tamil Nadu |
Subjects: | |
Online Access: | http://www.japt.in/article.asp?issn=2772-6355;year=2021;volume=4;issue=1;spage=27;epage=30;aulast=Lawrence |
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author | Ria Lawrence Amal Johnson Raghupathi Narasimhan |
author_facet | Ria Lawrence Amal Johnson Raghupathi Narasimhan |
author_sort | Ria Lawrence |
collection | DOAJ |
description | The coronavirus disease 2019 (COVID-19) pandemic is a scientific, medical, and social challenge. The complexity of the severe acute respiratory syndrome coronavirus 2 is centered on the unpredictable clinical course of the disease that can rapidly develop causing severe and deadly complications. The identification of effective laboratory biomarkers and being able to classify patients based on their risk is imperative in guaranteeing appropriate treatment. The analysis of recently published studies highlights the role of systemic vasculitis and cytokine-mediated coagulation disorders as the principal actors of multi-organ failure in patients with severe COVID-19 complications. In this review article, we will be discussing the role of biomarkers in the management of COVID-19 infection. |
first_indexed | 2024-03-12T13:46:35Z |
format | Article |
id | doaj.art-ed1db61aa5084adba679b07b8714dbf5 |
institution | Directory Open Access Journal |
issn | 2772-6355 2772-6363 |
language | English |
last_indexed | 2024-03-12T13:46:35Z |
publishDate | 2021-01-01 |
publisher | Wolters Kluwer Medknow Publications |
record_format | Article |
series | Journal of Association of Pulmonologist of Tamil Nadu |
spelling | doaj.art-ed1db61aa5084adba679b07b8714dbf52023-08-23T09:08:07ZengWolters Kluwer Medknow PublicationsJournal of Association of Pulmonologist of Tamil Nadu2772-63552772-63632021-01-0141273010.4103/japt.japt_22_21A review article on biochemical predictors of COVID-19 infectionRia LawrenceAmal JohnsonRaghupathi NarasimhanThe coronavirus disease 2019 (COVID-19) pandemic is a scientific, medical, and social challenge. The complexity of the severe acute respiratory syndrome coronavirus 2 is centered on the unpredictable clinical course of the disease that can rapidly develop causing severe and deadly complications. The identification of effective laboratory biomarkers and being able to classify patients based on their risk is imperative in guaranteeing appropriate treatment. The analysis of recently published studies highlights the role of systemic vasculitis and cytokine-mediated coagulation disorders as the principal actors of multi-organ failure in patients with severe COVID-19 complications. In this review article, we will be discussing the role of biomarkers in the management of COVID-19 infection.http://www.japt.in/article.asp?issn=2772-6355;year=2021;volume=4;issue=1;spage=27;epage=30;aulast=Lawrencebiomarkerscovidd-dimeril6predictors |
spellingShingle | Ria Lawrence Amal Johnson Raghupathi Narasimhan A review article on biochemical predictors of COVID-19 infection Journal of Association of Pulmonologist of Tamil Nadu biomarkers covid d-dimer il6 predictors |
title | A review article on biochemical predictors of COVID-19 infection |
title_full | A review article on biochemical predictors of COVID-19 infection |
title_fullStr | A review article on biochemical predictors of COVID-19 infection |
title_full_unstemmed | A review article on biochemical predictors of COVID-19 infection |
title_short | A review article on biochemical predictors of COVID-19 infection |
title_sort | review article on biochemical predictors of covid 19 infection |
topic | biomarkers covid d-dimer il6 predictors |
url | http://www.japt.in/article.asp?issn=2772-6355;year=2021;volume=4;issue=1;spage=27;epage=30;aulast=Lawrence |
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