Thromboembolic Complications of SARS-CoV-2 and Metabolic Derangements: Suggestions from Clinical Practice Evidence to Causative Agents
Abstract
:1. SARS-CoV-2 Pathogenesis, Hemostatic Alterations and Metabolism Interference of Therapeutical Agents
1.1. SARS-CoV-2 Infection Strategy and Host Immune Response
1.2. Alteration of Hematological Parameters from Clinical Experience of Thromboembolic Events
1.3. Interference of Antiviral Drugs with Antiplatelet and Anticoagulant Medications
2. Venous Thromboembolism Diagnosed in Covid-19 Patients and Management
2.1. Clinical Diagnoses of Venous Thromboembolism
2.2. Medical Treatment in the Acute Setting and on Discharge
2.3. Pulmonary Embolism in Covid-19 Patients: Stratification and Choice of Therapy
2.4. Management of Antithrombotic Drugs in Patients with SARS-CoV-2 Infection and Critical Illness
2.5. Risk Stratification Scores to Drive Pharmacological Prophylactic Treatment
3. Hypotheses of Thrombosis Generation and Pathophysiological Mechanisms
3.1. Covid-19 and Disseminated Intravascular Coagulation
3.2. Direct Viral Damage and Endothelitis-Driven Inflammatory Reaction
3.3. Covid-19-Associated Hyperinflammatory Syndrome (cHIS)
4. Inflammatory Cascade: The Bridge between Metabolic Derangements and Thrombogenesis
The Immunologic Dialogue of Cytokines, T Cells, and Checkpoint Proteins Accelerating Thrombosis in Atherosclerotic Lesions
5. Meta-Inflammation: Alterations of Metabolism Leading to Thrombus Generation
5.1. Obesity, Metabolic Syndrome and Dysregulated Lipid Metabolism
5.2. Hyperinsulinemia Contributes to Both Impaired Fibrinolysis and Hypercoagulable States
5.3. Vitamin D Metabolism and Its Interference in the Inflammatory Pathway
5.4. Extrahepatic Vitamin K Insufficiency and Dependency of Coagulation Factors
5.5. Hormonal Factors Contributing to Covid-19 Thrombotic Complications
6. Disorders of Haemostasis and ChAdOx1 nCoV-19 Adenoviral Vector Vaccine
7. Future Directions and Perspectives
8. Conclusions
Funding
Conflicts of Interest
Abbreviations
References
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Reference | Total SARS-CoV-2 + Hospitalized Patients | VTE and ATE Cases | Risk Factors More Present in Cases (p < 0.05) | Risk Factors Similar in Cases and Controls (p > 0.05) | Conclusions |
---|---|---|---|---|---|
Stoneham et al., 2020 [26] | 208 | 21 | High Wbcs, high D-dimer, high INR. | aPTT ratio, fibrinogen. | Comorbidities were not associated with a higher risk of thrombosis. Monitoring of D-dimer and anti-factor Xa levels may be relevant for management. |
Zuo et al., 2020 [27] | 44 | 11 | High calprotectin, markers of NETs (myeloperoxidase-DNA complexes) high D-dimer, high platelets. | Troponins, Wbcs. | There was a significant difference between peak D-dimer, calprotectin and cell free DNA levels between the populations. |
Zhang et al., 2020 [28] | 143 | 66 | High Wbcs, older age, low oxygenation index, high rate of cardiac injury, CURB-65 score 3 to 5, Padua score ≥ 4, high D-dimer. | Platelets count. | COVID-19 is suspected to cause an additional risk factor for DVT in hospitalized patients. |
Planquette et al., 2020 [29] | 1042 | 59 | High CRP, fibrinogen, D-dimer. IMV. | Comorbidities: BMI, previous VTE, ATE, Cancer, hypertension, Cardiovascular diseases. | Similar prevalence of VTE risk factors in cases and controls was found. In both groups, altered coagulation parameters were found. |
Trimaille et al., 2020 [30] | 289 | 49 | High Improve score, high WBCs, D-dimer, low haemoglobin at discharge. | Padua score of 4 or more, CRP | Lack of thromboprophylaxis is a major determinant of VTE in non-ICU COVID-19 patients. Comorbidities were not found to affect the event occurrence. |
Shah et al., 2020 [31] | 187 | 81 | High troponins, ferritin, D-dimer. | Platelets count, Wbcs, thromboelastography parameters. | Elevated D-dimer, ferritin, troponin and white cell count at ICU admission may reflect undiagnosed altered coagulation and be used to identify patients for CTPA. |
Kolielat et al., 2021 [32] | 117 | 18 | High D-dimer, fibrinogen, ferritin. | Wbcs, platelets, troponins, Il-6. | Elevated D-dimer and a less elevated fibrinogen are associated with DVT despite conventional thromboprophylactic treatment. |
Kampouri et al., 2020 [33] | 443 | 41 | High D-dimer, positive Wells criteria, bilateral infiltrates on X-rays or CT scan, mechanical ventilation. | Wbcs, platelets, CRP, Padua score, Geneva score. | The combination of Wells ≥ 2 score and D—dimer ≥ 3000 ng/L is predictive of VTE at admission. Hospitalization in the ICU and especially mechanical ventilation were associated with VTE occurrence. The combination of Wells’ score and D-dimer value can be used for guiding empiric anticoagulation therapy. |
Published Study | Vaccine Type | Patient (N) | Women (N) | Age | Time Span | Cases’ Etiology | Major Findings |
---|---|---|---|---|---|---|---|
Greinacher et al. [137] | ChAdOx1 nCov-19 | 11 | 9 | 36 yrs (median) | 5 to 16 days after 1st dose | 10 multiple thrombosis, 9 cerebral venous thrombosis. 3 splanchnic-vein thrombosis. 3 pulmonary embolisms, and 4 others. 5 disseminated intravascular coagulation | Immune thrombotic thrombocytopenia. High level of Platelet-activating antibodies against PF4 mimicking autoimmune heparin-induced thrombocytopenia. |
Schultz et al. [138] | ChAdOx1 nCov-19 | 5 | 4/5 | 40.8 ys (mean) | 7 to 10 days after | 2 thromboses (sigmoid cerebral sinuses), 1 thrombosis (portal vein branches) 1 massive thrombosis plus right cerebellar hemorrhagic infarction 1 massive cerebral vein thrombosis with global edema. | High levels of antibodies to platelet factor (PF) 4-polyanion complexes. Authors propose the acronym VITT (vaccine-induced immune thrombotic thrombocytopenia) as causative mechanism. |
Vaccine Type | Thrombosis Cases | Total Administrations | Associated Factors |
---|---|---|---|
ChAdOx1 nCov-19 | 169 CVST, 53 splanchnic vein thrombosis | 34 million people had been vaccinated in the EEA and UK | <60 years of age, symptoms onset within 3 weeks after vaccination, female gender, thrombocytopenia. |
JNJ-78436735/Ad26. COV2. S | 6 CVST (1 death) | 8.09 million in US | Thrombocytopenia, women between 18 and 48 ys. symptoms onset between 6 to 13 days after vaccination |
Published Study | Vaccine Type | Participant (n) | Women (n) | Age | Vaccine Components | Adverse Events | Efficacy |
---|---|---|---|---|---|---|---|
Voysey et al. (interim analysis of COV001, COV002, COV004, COV005) [147] | ChAdOx1 nCoV-19 | 11,636 5807-va 5829-ca | 3525/5807 | mostly 18–55 yrs | dsDNA encoding for the Spike protein protected in an adenoviral particle | 175 severe adverse events | 2 standard doses efficacy was 62.1%. Low boosted dose efficacy was 90.0%. |
Ramasamy et al. (phase 2 of COV002) [148] | ChAdOx1 nCoV-19 | 560 420-va 140-ca | 104 low-d 101 standard-d | 100 (18–55 yrs) 120 (56–69 yrs) 200 > 70 yrs | dsDNA encoding for the Spike protein protected in an adenovirus. | Systemic reactions 86% (18–55 yrs) 77% (56–69 yrs) 65% >70 yrs | 14 days after the 2nd dose, 208 of 209 boosted participants had neutralising antibody responses. T-cell responses peaked at day 14 after a single dose. |
Logunov et al. (phase 3) [150] | rAd26 and rAd5 vector-based vaccine (Sputnik V) | 21.977 | 5821 (38.9%) | mostly 18–60 yrs | dsDNA encoding for the Spike protein protected in Ad26 vector for the 1st dose, Ad5 for the 2nd one). | 4 deaths, none was related to the vaccine. | Vaccine efficacy was 91.6% (95% CI 85.6–95.2). |
Zhang et al. (phase 1/2) [155] | CoronaVac (Sinovac Life Sciences, Beijing, China) | 743 | 397/743 | phase 1 42.6 yrs phase 2 42.1 yrs | Inactivated virus vaccine with beta-propiolactone | In the phase 2 trial adverse reactions was 19% with 3 μg 19% with 6 μg group, and 18% with placebo. | In the phase 2.97% seroconversion with 3 μg, 100% with 6 μg group, and 0% with placebo group. |
Sadoff et al. (interim analysis of phase 1–2) [149] | Ad26.COV2. S/JNJ-78436735 (Johnson&Johnson) | 805 | 169 in cohort 1, 159 in cohort 3 | 35.4 ± 10.2 (cohort 1) 69.8 ± 4.0 (cohort 3) | dsDNA encoding for the Spike protein protected in an adenoviral particle (Ad26) | The most frequent systemic adverse event was fever. Systemic adverse events were less common in cohort 3 than in cohort 1. | Reactogenicity was lower after the second dose. Neutralizing-antibody titers were detected in 90% or more of all participants on day 29 after the first vaccine dose |
Polack et al. [145] | BNT162b2 mRNA | 43.548 | 9221 (48.9) | 52.0 | mRNA vaccine encoding for Spike protein protected in a lipid nanoparticle | Serious adverse events incidence was low and similar between the vaccine and placebo groups. | BNT162b2 95% effective in preventing the disease. Similar efficacy for age, sex, race, ethnicity, baseline body-mass index, and the presence of coexisting conditions. |
Baden et al. [146] | mRNA-1273 vaccine (Moderna) | 30.351 | 7108 (46.9) | 51.3 (18–95) | encapsulated mRNA vaccine encoding for Spike protein protected in a lipid nanoparticle | Transient local systemic reactions. No safety concerns were identified. | mRNA-1273 94.1% effective in preventing severe and mild disease development. |
- | Adenoviral Vector | mRNA | ||||
---|---|---|---|---|---|---|
Country | ChAdOx1 nCov-19 (Astrazeneca) | Sputnik V/Gam-Covid-Vac | CoronaVac (SinoVac) | JNJ-78436735/Ad26.COV2.S (Johnson&Johnson) | BNT162b2 mRNA (Pfizer) | mRNA-1273 (Moderna) |
France | 3.72 million | 0 | 0 | 2004 | 14.33 million | 1.59 million |
Germany | 5.60 million | 0 | 0 | 0 | 18.81 million | 1.47 million |
Italy | 3.97 million | 0 | 0 | 20700 | 12.83 million | 1.27 million |
United States | 0 | 0 | 0 | 8.09 million | 116.19 million | 100.83 million |
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Nappi, F.; Iervolino, A.; Avtaar Singh, S.S. Thromboembolic Complications of SARS-CoV-2 and Metabolic Derangements: Suggestions from Clinical Practice Evidence to Causative Agents. Metabolites 2021, 11, 341. https://doi.org/10.3390/metabo11060341
Nappi F, Iervolino A, Avtaar Singh SS. Thromboembolic Complications of SARS-CoV-2 and Metabolic Derangements: Suggestions from Clinical Practice Evidence to Causative Agents. Metabolites. 2021; 11(6):341. https://doi.org/10.3390/metabo11060341
Chicago/Turabian StyleNappi, Francesco, Adelaide Iervolino, and Sanjeet Singh Avtaar Singh. 2021. "Thromboembolic Complications of SARS-CoV-2 and Metabolic Derangements: Suggestions from Clinical Practice Evidence to Causative Agents" Metabolites 11, no. 6: 341. https://doi.org/10.3390/metabo11060341
APA StyleNappi, F., Iervolino, A., & Avtaar Singh, S. S. (2021). Thromboembolic Complications of SARS-CoV-2 and Metabolic Derangements: Suggestions from Clinical Practice Evidence to Causative Agents. Metabolites, 11(6), 341. https://doi.org/10.3390/metabo11060341