| Literature DB >> 33945651 |
Mahdi Kohansal Vajari1, Mahsa Shirin1, Atieh Pourbagheri-Sigaroodi1, Mohammad Esmaeil Akbari2, Hassan Abolghasemi3, Davood Bashash1.
Abstract
December 2019 will never be forgotten in the history of medicine when an outbreak of pneumonia of unknown etiology in Wuhan, China sooner or later prompted the World Health Organization to issue a public health warning emergency. This is not the first nor will it be the last time that a member of β-coronaviruses (CoVs) is waging a full-scale war against human health. Notwithstanding the fact that pneumonia is the primary symptom of the novel coronavirus (2019nCoV; designated as SARS-CoV-2), the emergence of severe disease mainly due to the injury of nonpulmonary organs at the shadow of coagulopathy leaves no choice, in some cases, rather than a dreadful death. Multiple casual factors such as inflammation, endothelial dysfunction, platelet and complement activation, renin-angiotensin-aldosterone system derangement, and hypoxemia play a major role in the pathogenesis of coagulopathy in coronavirus disease 2019 (COVID-19) patients. Due to the undeniable role of coagulation dysfunction in the initiation of several complications, assessment of coagulation parameters and the platelet count would be beneficial in early diagnosis and also timely prediction of disease severity. Although low-molecular-weight heparin is considered as the first-line of treatment in COVID-19-associated coagulopathy, several possible therapeutic options have also been proposed for better management of the disease. In conclusion, this review would help us to gain insight into the pathogenesis, clinical manifestation, and laboratory findings associated with COVID-19 coagulopathy and would summarize management strategies to alleviate coagulopathy-related complications.Entities:
Keywords: COVID-19; SARS-CoV-2; coagulopathy; coronavirus; thromboembolism
Mesh:
Substances:
Year: 2021 PMID: 33945651 PMCID: PMC8239905 DOI: 10.1002/cbin.11623
Source DB: PubMed Journal: Cell Biol Int ISSN: 1065-6995 Impact factor: 4.473
Figure 1SARS‐CoV‐2‐induced inflammation. In viral infections, immune cells such as monocyte/macrophage and other leukocytes are activated by pathogen‐associated molecular patterns (PAMPs) and host‐derived damage‐associated molecular patterns (DAMPs). In COVID‐19, this stimulation leads to increased infiltration of activated immune cells to the lung and other organs and intensifies the production of proinflammatory cytokines. Proinflammatory cytokines induce the expression of tissue factor (TF), the primary initiator of the extrinsic coagulation cascade, which strongly contributes to a hypercoagulable state. Activated neutrophils and neutrophil extracellular traps (NETs) are also involved in endothelial dysfunction, which eventually leads to coagulation disorders in COVID‐19
Figure 2Interconnections between inflammation and activation of endothelial cells, platelets, and complement in COVID‐19‐induced coagulopathy. Endothelial cell activation/damage is triggered through multiple pathways, including proinflammatory cytokines, NETosis, hypoxia, and complement activation. Injured endothelial cells release ultra‐large vWF multimers which in turn stimulate platelets adhesion and activation. Not only do activated platelets intensify inflammation through secretion of proinflammatory cytokines but also provide an exposed surface for assembly of enzyme‐cofactor‐substrate complexes throughout the coagulation cascade. Cleavage of C3 and C5 also gives rise to mast cell degranulation which results in an increased expression of TF and endothelial cell damage. COVID‐19, coronavirus disease 2019; TF, tissue factor
Values of platelets and coagulation‐related laboratory tests in severe and nonsevere COVID‐19 patients
| Platelet | Prothrombin time (PT) | Partial thromboplastin time (PTT) | D‐dimer | |||||
|---|---|---|---|---|---|---|---|---|
| Nonsevere | Severe | Nonsevere | Severe | Nonsevere | Severe | Nonsevere | Severe | |
| Huang et al. ( | 149 (131–263) | 196 (165–263) | 10.7 (9.8–12.1) | 12.2 (11.2–13.4) | 27.7 (24.8–34.1) | 26.2 (22.5–33.9) | 0.5 (0.3–0.8) | 2.4 (0.6–14.4) |
| Chen et al. ( | 161 (±44.2) | 164 (±45.8) | 13.4 (±1.0) | 14.1 (±0.9) | 44.6 (±3.7) | 36.2 (±5.8) | 0.4 (±0.3) | 8.2 (±9.0) |
| Tang et al. ( | 231 (±99) | 178 (±92) | 13.6 (13.0–14.3) | 15.5 (14.4‐16.3) | 41.2 (36.9–44) | 44.8 (40.2–51) | 0.61 (0.35–1.29) | 2.12 (0.77–5.27) |
| Wu et al. ( | 10.6 (10.1–11.5) | 11.7 (11.1–12.45) | 29.7 (25.5–32.8) | 26 (22.5–35) | 0.52 (0.33–0.93) | 1.16 (0.46–5.37) | ||
| Wang et al ( | 186.9 (±79.3) | 174.8 (±90.97) | 14.1 (13.7–14.6) | 14.5 (13.5–17.5) | 40.7 (±7.5) | 39.0 (±4.6) | 0.8 (0.3–1.4) | 11.3 (2.6–21) |
| Bao et al. ( | 251 (202–317) | 186 (103.5–249) | 12.7 (12.15–13.59) | 14.55 (13.4–16.53) | 25.9(25.11–29.33) | 29.2(26.95–32.84) | 0.42 (0.28–0.79) | 1.05 (0.68–5.90) |
| Xiong et al. ( | 235 (165–266) | 188 (128–234) | 11.4 (10.8–11.8) | 11.5 (10.9–11.9) | 28.3 (24.8–31.1) | 27.8 (25.2–33.4) | 0.28 (0.18–0.38) | 0.94 (0.57–1.89) |
| Yang et al. ( | 155 (125–192) | 145 (120.5–177) | 11 (10.5–11.4) | 11.4 (10.6–12.0) | 33.3 (30.1–36.2) | 36.7 (34.0–41.0) | 0.49 (0.3–0.74) | 1.10 (0.63–1.82) |
| Cao et al. ( | 177 (143–220) | 147 (120–179) | 13.3 (12.9–13.7) | 13.8 (13.3–14.7) | 39.1 (36.7–42.15) | 42.4 (38.2–49.5) | 0.365 (0.26–0.56) | 0.77 (0.43–1.23) |
| Zhang et al. ( | 175 (136–213) | 169 (111–202) | 12.7 (12.1–13.4) | 13.4 (12.3–14.8) | 31.1 (29.1–33.0) | 31.1 (29–34.9) | 0.18 (0.11–0.32) | 0.31 (0.29–0.33) |
| Wan et al. ( | 170 (136–234) | 147 (118–213) | 10.8 (10.4–11.3) | 11.3 (10.7–11.8) | 26.6 (24.5–28.8) | 29.7 (26.2–39.4) | 0.3 (0.2–0.5) | 0.6 (0.4–1.1) |
| Wang et al. ( | 165 (125–188) | 142 (119–202) | 12.9 (12.3–13.4) | 13.2 (12.3–14.5) | 31.7 (29.6–33.5) | 30.4 (28–33.5) | 0.16 (0.1–0.28) | 0.41 (0.19–1.32) |
| Gao et al. ( | 12.03 (±1.21) | 11.26 (±1.42) | 30.41 (±5.31) | 27.29 (±6.09) | 0.21 (0.19–0.27) | 0.49 (0.29–0.91) | ||
| Zheng et al. ( | 12.91 (±0.63) | 13.49 (±0.96) | 0.78 (±0.76) | 2.65 (±3.93) | ||||
| Zhou et al. ( | 220 (168–271) | 165.5 (107–229) | 11.4 (10.4–12.6) | 12.1 (11.2–13.7) | 0.6 (0.3–1.0) | 5.2 (1.5–21.1) | ||
| Tang et al. ( | 14.6 (±2.1) | 16.5 (±8.4) | 1.47 (0.78–4.16) | 4.70 (1.42–21) | ||||
| Gong et al. ( | 180 (147, 221) | 167 (139.5, 200) | 39.1 (±4.4) | 40 (±5.4) | 0.99 (0.6–1.38) | 1.22 (0.66–1.72) | ||
| Peng et al. ( | 13 (12.5–14.1) | 13.9 (12.6–14.7) | 35.75 (31.6–40) | 36.4 (33.1–44) | ||||
| Marchandot et al. ( | 12.20 (±0.88) | 12.65 (±1.13) | 28.56 (±2.66) | 29.53 (±3.48) | ||||
| Yang et al. ( | 164 (±74) | 191 (±63) | 10.9 (±2.7) | 12.9 (±2.9) | ||||
| Lei et al. ( | 192 (139–237) | 150 (116–225) | 0.28 (0.18–0.46) | 0.6 (0.28–1.4) | ||||
| Liu et al. ( | 173.20 (±55.37) | 143.90 (±64.81) | 0.39 (0.2–1.07) | 0.56 (0.21–6.84) | ||||
| Zou et al. ( | 13.4 (13.0–13.8) | 13.8 (13.4–14.8) | 39.2 (36.3–42.4) | 43.2 (41.0–49.7) | 0.43 (0.31–0.77) | 1.04 (0.73–1.72) | ||
| Mao et al. ( | 219 (42–583) | 204.5 (18–576) | 0.4 (0.2–8.7) | 0.9 (0.1–20) | ||||
| Peng et al. ( | 13.0 (12.5–14.1) | 13.90 (12.6–14.7) | 35.75 (31.6–40.0) | 36.45 (33.1–44.0) | ||||
| Lu et al. ( | 13.42 (±0.95) | 13.94 (±1.15) | 41.98 (±9.26) | 40.08 (±6.37) | 1.01 (±2.98) | 4.89 (±6.65) | ||
| Zhang et al. ( | 11.5 (10.9–11.83) | 12.0 (11.75–12.8) | 26.1 (24.1–28.43) | 30.4 (24.3–34.65) | 0.44 (0.25–1.19) | 5.95 (1.23–20.08) | ||
| Long et al. ( | 12.34 (±1.91) | 12.14 (±1.16) | 34.9 (±9.17) | 36.47 (±9.29) | 0.85 (±1.68) | 1.78 (±4.40) | ||
| Qian et al. ( | 198 (144–248) | 152 (127–208) | 0.3 (0.1–0.4) | 0.45 (0.16–0.48) | ||||
Abbreviation: COVID‐19, coronavirus disease 2019.
Figure 3Therapeutic options for treatment of COVID‐19‐related coagulopathy. Low‐molecular‐weight heparin (LMWH) and unfractionated heparin which are considered as the first line of treatment, inhibit both extrinsic and extrinsic coagulation cascades mainly through inhibition of thrombin function. Due to the interaction of inflammation and complement activation with the coagulation pathway, anticomplement and antiinflammatory agents may be also considered as drugs of choice. Anakinra, Tocilizumab, Infliximab and Adalimumab inhibit IL‐1, IL‐6, and TNF pathways, respectively, while AMY‐101 and Eculizumab function through inhibiting C3 and C5, respectively. COVID‐19, coronavirus disease 2019; IL, interleukin; TNF, tumor necrosis factor
Therapeutic options for the treatment of COVID‐19‐induced coagulopathy
| Type of drug | Name of drug | Description | Reference |
|---|---|---|---|
| Main therapy | |||
| Heparin | Dalteparin, Enoxaparin, Nadroparin, Tinzaparin, UFH | Main treatment for coagulation complications such as DIC, VTE, and PE. | (Barrett et al., |
| Alternative therapies | |||
| Direct‐acting oral anticoagulant | Apixaban, Dabigatran, Rivaroxaban, Edoxaban | Excluding the laboratory tests for monitoring. | (Testa et al., |
| Immunoglobulin | IVIg | In combination with LMWH decreases D‐dimers as well as B and T cell counts. | (Lin et al., |
| Activator of fibrinolysis | tPA | Functional in treatment of ARDS in COVID‐19 patients. | (Wang, et al., |
| Thrombomodulin | rhsTM | Reducing mortality rate in COVID‐19 patients with DIC. | (Valeriani et al., |
| Serine protease inhibitor | Nafamosat Mesylate | Potentiating the efficacy of heparin in COVID‐19 patients with coagulopathy. | (Asakura & Ogawa, |
| Nucleoside transport & PDE3 inhibitor | Dipyridamole (DIP) | Suppressing viral replication and act as an antiplatelet inhibitor. | (Liu et al., |
| Antiplatelet agents | Tirofiban, Clopidogrel | Alleviating complications in COVID‐19 cases with severe respiratory failure. | (Viecca et al., |
| Immunosuppressive agents | Hydroxychloroquine | Exerts antithrombotic properties, especially against antiphospholipid antibodies. | (Bikdeli et al., |
| Immunomodulating agents | Fingolimod | Improving outcomes in patients suffering from acute ischemic stroke. | (Zhu et al., |
| Antiinflammatory agents | Tocilizumab | Inhibiting IL‐6 pathway and complement cascade activation. | (Xu et al., |
| Anakinra (IL‐1Ra) | Inhibiting IL‐1, thereby reversing cytokine storm in patients with COVID‐19. | (Monteagudo et al., | |
| Infliximab, Adalimumab | Inhibiting TNF, thereby reducing inflammation in COVID‐19 patients. | (Feldmann et al., | |
| Eculizumab | Preventing coagulation and hyper‐inflammation via inhibiting C5 complement. | (Diurno et al., | |
| AMY‐101 | Treating severe ARDS due to COVID‐19 pneumonia by inhibiting C3. | (Mastaglio et al., | |
| Platelet aggregation inhibitor | Ticagrelor | Preventing SIC in COVID‐19 via inhibiting P2Y12 receptor. | (Omarjee et al., |
| Corticosteroid | Methylprednisolone | Reducing the risk of death in COVID‐19 patients with ARDS. | (Wu et al., |
Abbreviations: ARDS, acute respiratory distress syndrome; COVID‐19, coronavirus disease 2019; IL, interleukin.