| Literature DB >> 33110936 |
Rao Muhammad Waleed1, Inbisat Sehar1, Waleed Iftikhar1,2, Huma Saeed Khan1.
Abstract
Coronaviruses are a class of enveloped RNA viruses that cause infections of the respiratory tract, characterized by fever, tiredness, dry cough, diarrhea, loss of smell or taste, chest pain and shortness of breath. Many patients with mysterious pneumonia were distinguished in December 2019 in Wuhan. The pneumonia of obscure origin was found to be ascribed to a novel coronavirus and described as novel coronavirus pneumonia (NCP). The Chinese authorities initially reported the wave of mysterious pneumonia on December 31st, 2019 and it was declared as an outbreak of international concern on January 30th, 2020. A systematic search of relevant research was conducted, and a total of 58 primary research articles were identified, analyzed, and debated to better understand the hematologic profile in COVID-19 (Coronavirus disease) infection and its clinical implications. All the findings in this article manifest a true impression of the current interpretation of hematological findings of the SARS-COV-2 disease. Pathophysiology of COVID-19 disease can be better interpreted by taking into consideration the hematologic parameters. Clinical implications of the hematologic profile of COVID-19 patients including cytokine storm, coagulation profile, and thrombophilic complications are under-recognized. Therefore, this review focuses on the coagulation profile, cytokine storm, and its treatment options. The role of pre-existing thrombophilia in COVID-19 patients and how it could result in the poor prognosis of the disease is also debated. The recent data suggests that hypercoagulability could be the potential cause of fatalities due to COVID-19. Potential effects of tocilizumab, metronidazole, and ulinastatin in suppressing cytokine storm may help to treat SARS-COV-2 infection. This review also highlights the significance of thrombophilia testing in SARS-CoV-2 patients depending on the clinical features and especially in pregnant women.Entities:
Keywords: COVID-19; Coronavirus; D-dimer; coagulopathy; cytokine storm; pneumonia of unknown origin; thrombophilia
Year: 2020 PMID: 33110936 PMCID: PMC7585459 DOI: 10.15190/d.2020.14
Source DB: PubMed Journal: Discoveries (Craiova) ISSN: 2359-7232
Figure 1Clinical presentation of COVID-19 patients
Adapted from Gupta et al. (2020)[11]. This figure is created using BioRender.com.
Summary of hematologic changes in COVID-19 patients
Adapted from Terpos et al. (2020)[12] with permission.
| Parameters | Changes |
|---|---|
| Thrombocyte count | Decreases |
| Neutrophil count | Increases |
| Lymphocyte count | Decreases |
| Lactate dehydrogenase | Increases |
| Serum ferritin | Increases |
| Interleukins (IL-6, IL-2, IL-7) | Increases |
| C-reactive protein (CRP) | Increases |
| Procalcitonin | Increases |
| TNF-α | Increases |
| Prothrombin time (PT) | Prolonged |
| D-dimer | Increases |
| Fibrinogen degradation product (FDP) | Increases |
Figure 2Cytokine storm mechanism
Reproduced from Qing et al.[20] with permission. “Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgment of the original source”.
Metronidazole effects on cytokine levels in COVID-19 infection
Reproduced from Gharebaghi et al. (2020)[28] with permission.
| COVID-19 | Metronidazole |
|---|---|
| ↑IL8 | ↓IL8 |
| ↑IL6 | ↓IL6 |
| ↑IL1B | ↓IL1B |
| ↑TNFα | ↓TNFα |
| ↑CRP | ↓CRP |
| ↑IL12 | ↓IL12 |
| ↑IFNγ | ↓IFNγ |
| ↑Neutrophils | ↓Neutrophils |
| ↓Lymphocytes | ↑Lymphocytes lymphoproliferative properties |
Figure 3Effect of tocilizumab in subduing the cytokine storm
Adapted from[32,33] with permission. A. Tocilizumab blocks IL-6 signaling thus suppressing cytokine storm; B. IL-6 activates TH17 (T-helper 17) cells which then increases the IL-6 production. IL-6 occupies a major part in cytokine storm and hence resulting in lung injury and ARDS.
Effect of ulinastatin on cytokine levels
Adapted from[35,36] with permission.
| Pro-inflammatory cytokines | Ulinastatin |
|---|---|
| IFN-γ | Decreases[ |
| TNF-α | Decreases[ |
| IL-6 | Decreases[ |
| Anti-inflammatory cytokines | Ulinastatin |
| IL-10 | Increases[ |
Figure 4General and ICU acquired venous thromboembolism risk factors
Adapted from Minet et al. (2015)[42] with permission.