2020
DOI: 10.36303/jmlstsa.2020.2.2.48
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The pathophysiology of the haematological manifestations of COVID-19 : a review

Abstract: Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and the coronavirus disease 2019 (COVID-19) it causes, are associated with several haematological abnormalities which manifest as some of the clinical syndromes seen in COVID-19. The main organ affected by COVID-19 is the lung, where an intense inflammatory response occurs in the alveoli and the lung vasculature. This may result in severely compromised gaseous exchange consistent with acute respiratory disease syndrome (ARDS). Multiple organ failure … Show more

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Cited by 2 publications
(12 citation statements)
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“…5,9,36 Anemia could develop during the course of COVID-19 either due to direct SARS-CoV-2 infection, iatrogenic blood loss during admission, or dysregulation of iron metabolism. 5,7 Unlike other studies, Hb level, RDW and MCHC were not associated with worse outcome in our cohort. 36,37 COVID-19 is associated with clinically significant coagulopathy termed CAC.…”
Section: Discussioncontrasting
confidence: 85%
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“…5,9,36 Anemia could develop during the course of COVID-19 either due to direct SARS-CoV-2 infection, iatrogenic blood loss during admission, or dysregulation of iron metabolism. 5,7 Unlike other studies, Hb level, RDW and MCHC were not associated with worse outcome in our cohort. 36,37 COVID-19 is associated with clinically significant coagulopathy termed CAC.…”
Section: Discussioncontrasting
confidence: 85%
“…3,6,35 Changes in platelet count in COVID-19 can be due to several reasons including the effect of cytokines, inhibition of platelet production by SARS-CoV2 infection, platelet consumption in COVID-19-associated lung damage and associated-thrombosis, and the effect of therapeutic agents. 7 Using platelet count as a predictor of COVID-19 severity has shown contradicting findings. 22,27 In early SARS-CoV2 infection, platelet counts have not correlated with the outcome which probably explains the normal platelet count in this cohort.…”
Section: Discussionmentioning
confidence: 99%
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