| Literature DB >> 32352535 |
Tomasz J Guzik1,2, Saidi A Mohiddin3,4, Anthony Dimarco3, Vimal Patel3, Kostas Savvatis3, Federica M Marelli-Berg4, Meena S Madhur5, Maciej Tomaszewski6, Pasquale Maffia7,8, Fulvio D'Acquisto9, Stuart A Nicklin1, Ali J Marian10, Ryszard Nosalski1,2, Eleanor C Murray1, Bartlomiej Guzik11, Colin Berry1, Rhian M Touyz1, Reinhold Kreutz12, Dao Wen Wang13, David Bhella14, Orlando Sagliocco15, Filippo Crea16, Emma C Thomson7,14,17, Iain B McInnes7.
Abstract
The novel coronavirus disease (COVID-19) outbreak, caused by SARS-CoV-2, represents the greatest medical challenge in decades. We provide a comprehensive review of the clinical course of COVID-19, its comorbidities, and mechanistic considerations for future therapies. While COVID-19 primarily affects the lungs, causing interstitial pneumonitis and severe acute respiratory distress syndrome (ARDS), it also affects multiple organs, particularly the cardiovascular system. Risk of severe infection and mortality increase with advancing age and male sex. Mortality is increased by comorbidities: cardiovascular disease, hypertension, diabetes, chronic pulmonary disease, and cancer. The most common complications include arrhythmia (atrial fibrillation, ventricular tachyarrhythmia, and ventricular fibrillation), cardiac injury [elevated highly sensitive troponin I (hs-cTnI) and creatine kinase (CK) levels], fulminant myocarditis, heart failure, pulmonary embolism, and disseminated intravascular coagulation (DIC). Mechanistically, SARS-CoV-2, following proteolytic cleavage of its S protein by a serine protease, binds to the transmembrane angiotensin-converting enzyme 2 (ACE2) -a homologue of ACE-to enter type 2 pneumocytes, macrophages, perivascular pericytes, and cardiomyocytes. This may lead to myocardial dysfunction and damage, endothelial dysfunction, microvascular dysfunction, plaque instability, and myocardial infarction (MI). While ACE2 is essential for viral invasion, there is no evidence that ACE inhibitors or angiotensin receptor blockers (ARBs) worsen prognosis. Hence, patients should not discontinue their use. Moreover, renin-angiotensin-aldosterone system (RAAS) inhibitors might be beneficial in COVID-19. Initial immune and inflammatory responses induce a severe cytokine storm [interleukin (IL)-6, IL-7, IL-22, IL-17, etc.] during the rapid progression phase of COVID-19. Early evaluation and continued monitoring of cardiac damage (cTnI and NT-proBNP) and coagulation (D-dimer) after hospitalization may identify patients with cardiac injury and predict COVID-19 complications. Preventive measures (social distancing and social isolation) also increase cardiovascular risk. Cardiovascular considerations of therapies currently used, including remdesivir, chloroquine, hydroxychloroquine, tocilizumab, ribavirin, interferons, and lopinavir/ritonavir, as well as experimental therapies, such as human recombinant ACE2 (rhACE2), are discussed. Published on behalf of the European Society of Cardiology. All rights reserved.Entities:
Keywords: ACE2; Acute coronary syndrome; COVID-19; Cardiac; Endothelium; Microvascular; Myocardial infarction; Myocarditis; Vascular; Virus
Mesh:
Substances:
Year: 2020 PMID: 32352535 PMCID: PMC7197627 DOI: 10.1093/cvr/cvaa106
Source DB: PubMed Journal: Cardiovasc Res ISSN: 0008-6363 Impact factor: 10.787
Baseline demographic data and comorbidities in selected early studies,,,,,
| Study | Region | All patients | Severity qualification | Lower severity | High severity |
|
|---|---|---|---|---|---|---|
| Gender (M = 51.3%, F = 48.7% in China); | ||||||
| Huang | Jin Yin-Tan | 41 (73%) | Non-ICU/ICU | 28 (68%) | 13 (85%) | 0.24 |
| Wang | Zongnan | 138 (54%) | Non-ICU/ICU | 102 (52%) | 36 (61%) | 0.34 |
| Zhou | JY-T and Wuhan | 191 (62%) | Survive/dead | 137 (59%) | 54 (70%) | 0.15 |
| Ruan | Tongji | 150 | Survive/dead | 82 | 68 | 0.43 |
| Liu | Tongi + three others | 78 (50%) | Stable/deteriorate | 6 (48%) | 11 (64%) | 0.52 |
| Guan | 31 provinces/provincial municipalities | 1099 (58%) | Non-severe/severe | 926 (58%) | 17 3 (58%) | n/a |
| Guan | 31 provinces/provincial municipalities | 1099 (58%) | Stable/endpoint | 1032 (58%) | 67 (67%) | n/a |
| Age; | ||||||
| Huang | Jin Yin-Tan | 4149 (41–58) | Non-ICU/ICU | 2849 (41–58) | 1349 (41–61) | 0.6 |
| Wang | Zongnan | 138, 56 (42–68) | Non-ICU/ICU | 102, 51 (37–62) | 36, 66 (57–78) | <0.001 |
| Zhou | JY-T and Wuhan | 191, 56 (46–67) | Survive/dead | 137, 52 (45–58) | 54 (63–67) | <0.001 |
| Ruan | Tongji | 150 | Survive/dead | 82 | 68 | <0.001 |
| Liu | Tongi + three others | 78, 38 (33–57) | Stable/deteriorate | 66, 37 (32–41) | 11, 66 (51–79) | 0.001 |
| Guan | 31 provinces/provincial municipalities | 1099, 47 (35–58) | Non-severe/severe | 926, 45 (34–57) | 137, 52 (40–65) | <0.001 |
| Guan | 31 provinces/provincial municipalities | 1099, 47 (35–58) | Stable/endpoint | 1032, 46 (35–57) | 67, 63 (53–71) | <0.001 |
| Any comorbidity; | ||||||
| Huang | Jin Yin-Tan | 41 (32%) | Non-ICU/ICU | 28 (29%) | 13 (38%) | 0.53 |
| Wang | Zongnan | 138 (46%) | Non-ICU/ICU | 102 (37%) | 36 (72%) | <0.001 |
| Zhou | JY-T and Wuhan | 191 (48%) | Survive/dead | 137 (40%) | 54 (67%) | 0.001 |
| Ruan | Tongji | 150 (51%) | Survive/dead | 82 (41%) | 68 (63%) | 0.0069 |
| Liu | Tongi + three others | 78 | Stable/deteriorate | 66 | 11 | – |
| Guan | 31 provinces/provincial municipalities | 1099 (24%) | Non-severe/severe | 926 (21%) | 173 (39%) | – |
| Guan | 31 provinces/provincial municipalities | 1099 (24%) | stable/CEP | 1032 (21%) | 57 (58%) | – |
| Hypertension (prevalence 15–33% WHO data/Bundy); | ||||||
| Huang | Jin Yin-Tan | 41 (15%) | Non-ICU/ICU | 28 (14%) | 13 (15%) | 0.93 |
| Wang | Zongnan | 138 (31%) | Non-ICU/ICU | 102 (22%) | 36 (58%) | <0.001 |
| Zhou | JY-T and Wuhan | 191 (30%) | Survive/dead | 137 (23%) | 54 (48%) | 0.0008 |
| Ruan | Tongji | 150 | Survive/dead | 82 | 68 | – |
| Liu | Tongi + three others | 78 (40%) | Stable/deteriorate | 66 (9%) | 11 (18%) | 0.3 |
| Guan | 31 provinces/provincial municipalities | 1099 (15%) | Non-severe/severe | 926 (13%) | 173 (24%) | – |
| Guan | 31 provinces/provincial municipalities | 109 (15%) | Stable/endpoint | 1032 (14%) | 67 (36%) | – |
| Diabetes mellitus [general rate in China is 8.4–10% (Diabetes UK, WHO)]; | ||||||
| Huang | Jin Yin-Tan | 41 (20%) | Non-ICU/ICU | 28 (25%) | 13 (8%) | 0.16 |
| Wang | Zongnan | 138 (10%) | Non-ICU/ICU | 102 (6%) | 36 (22%) | 0.009 |
| Zhou | JY-T and Wuhan | 191 (19%) | Survive/dead | 137 (14%) | 45 (31%) | 0.005 |
| Ruan | Tongji | 150 | Survive/dead | 82 | 68 | – |
| Liu | Tongi + three others | 78 (25%) | Stable/deteriorate | 66 (5%) | 11 (18%) | 0.143 |
| Guan | 31 provinces/provincial municipalities | 1099 (7%) | Non-severe/severe | 926 (5%) | 173 (16%) | – |
| Guan | 31 provinces/provincial municipalities | 1099 (7%) | Stable/endpoint | 1032 (6%) | 67 (27%) | – |
| Renal disease (CKD: 10.8% in China, Wang, Jinwei | ||||||
| Huang | Jin Yin-Tan | 41 | Non-ICU/ICU | 28 | 13 | – |
| Wang | Zongnan | 138 (3%) | Non-ICU/ICU | 102 (2%) | 36 (6%) | 0.28 |
| Zhou | JY-T and Wuhan | 191 (1%) | Survive/dead | 137 (0%) | 54 (4%) | 0.02 |
| Ruan | Tongji | 150 | Survive/dead | 82 | 68 | – |
| Liu | Tongi + three others | 78 | Stable/deteriorate | 66 | 11 | – |
| Guan | 31 provinces/provincial municipalities | 1099 (8%) | Non-severe/severe | 926 (0.5%) | 173 (2%) | – |
| Guan | 31 provinces/provincial municipalities | 1099 (8%) | Stable/endpoint | 1032 (0.6%) | 67 (3%) | – |
| COPD (5.7% in 2018, Zhu B); | ||||||
| Huang | Jin Yin-Tan | 41 (2%) | Non-ICU/ICU | 28 (0%) | 13 (8%) | 0.14 |
| Wang | Zongnan | 138 (3%) | Non-ICU/ICU | 102 (1%) | 36 (8%) | 0.54 |
| Zhou | JY-T and Wuhan | 191 (3%) | Survive/dead | 137 (1%) | 54 (7%) | 0.047 |
| Ruan | Tongji | 150 | Survive/dead | 82 | 68 | – |
| Liu | Tongi + 3 others | 78 (10%) | Stable/deteriorate | 66 (1.5%) | 11 (9%) | 0.264 |
| Guan | 31 provinces/provincial municipalities | 1099 (1%) | Non-severe/severe | 926 (1%) | 173 (4%) | – |
| Guan | 31 provinces/provincial municipalities | 1099 (1%) | Stable/endpoint | 1032 (0.5%) | 67 (10%) | – |
| Cardiovascular disease/coronary heart disease (estimated 20% WHO); | ||||||
| Huang | Jin Yin-Tan | 41 (15%) | Non-ICU/ICU | 28 (11%) | 13 (23%) | 0.32 |
| Wang | Zongnan | 138 (15%) | Non-ICU/ICU | 102 (11%) | 36 (25%) | 0.04 |
| Zhou | JY-T and Wuhan | 191 (8%) | Survive/dead | 137 (1%) | 54 (24%) | <0.0001 |
| Ruan | Tongji | 150 | Survive/dead | 82 | 68 | – |
| Liu | Tongi + three others | 78 | Stable/deteriorate | 66 | 11 | – |
| Guan | 31 provinces/provincial municipalities | 1099 (3%) | Non-severe/severe | 926 (2%) | 173 (6%) | – |
| Guan | 31 provinces/provincial municipalities | 1099 (3%) | Stable/endpoint | 1032 (2%) | 67 (9%) | – |
| Smoking (Chinese prevalence 26.3%, WHO); | ||||||
| Huang | Jin Yin-Tan | 41 (7%) | Non-ICU/ICU | 28 (11%) | 13 (0%) | 0.16 |
| Wang | Zongnan | 138 | nonICU/ICU | 102 | 36 | – |
| Zhou | JY-T and Wuhan | 191 (6%) | Survive/dead | 137 (4%) | 54 (9%) | 0.21 |
| Ruan | Tongji | – | Survive/dead | – | – | – |
| Liu | Tongi + three others | 78 (6%) | Stable/deteriorate | 66 (3%) | 11 (27%) | 0.018 |
| Guan | 31 provinces/provincial municipalities | 1099 (13%) | Non-severe/ severe | 926 (12%) | 173 (17%) | – |
| Guan | 31 provinces/provincial municipalities | 1099 (13%) | Stable/endpoint | 1032 (12%) | 67 (26%) | – |
| Malignancy (Chinese prevalence 0.6%, WHO); | ||||||
| Huang | Jin Yin-Tan | 41 (2%) | Non-ICU/ICU | 28 (4%) | 13 (0%) | 0.49 |
| Wang | Zongnan | 138 (7%) | Non-ICU/ICU | 102 (6%) | 36 (11%) | 0.29 |
| Zhou | JY-T and Wuhan | 191 (1%) | Survive/dead | 137 (1%) | 54 (0%) | 0.037 |
| Ruan | Tongji | – | Survive/dead | – | – | – |
| Liu | Tongi + three others | 78 (5%) | Stable/deteriorate | 66 (10%) | 11 (18%) | 0.09 |
| Guan | 31 provinces/provincial municipalities | 1099 (1%) | Non-severe/severe | 926 (1%) | 173 (2%) | – |
| Guan | 31 provinces/provincial municipalities | 1099 (1%) | Stable/endpoint | 1032 (1%) | 67 (1%) | – |
n/a, not available; ICU, intensive care unit; endpoint, composite endpoint of admission to an ICU, the use of mechanical ventilation, or death; CKD, chronic kidney disease.
These should be analysed in the context of recent European data which appeared after submission of this paper.
Guan et al. present data based on disease severity at the time of assessment (using American Thoracic Society guidelines for community-acquired pneumonia) and according to composite endpoint status (EP: ICU admission, ventilation, or death).
Cardiac and associated outcomes in hospitalized COVID-19 disease in selected early studies,,,,,
| Study | Region | All patients | Severity qualification | Lower severity | High severity |
|
|---|---|---|---|---|---|---|
| Cardiac injury; | ||||||
| Huang | Jin Yin-Tan | 41 (12%) | Non-ICU/ICU | 28 (4%) | 13 (31%) | 0.017 |
| Wang | Zongnan | 138 (7%) | Non-ICU/ICU | 102 (2%) | 36 (22%) | <0.001 |
| Zhou | JY-T and Wuhan | 191 (17%) | Survive/dead | 137 (1%) | 54 (59%) | <0.001 |
| Ruan | Tongji | 150 | Survive/dead | 82 | 68 | |
| Heart failure; | ||||||
| Huang | Jin Yin-Tan | 41 | Non-ICU/ICU | 28 | 13 | – |
| Wang | Zongnan | 138 | Non-ICU/ICU | 102 | 36 | – |
| Zhou | JY-T and Wuhan | 191 (23%) | Survive/dead | 137 (12%) | 54 (52%) | <0.001 |
| Ruan | Tongji | 150 | Survive/dead | 82 | 68 | |
| Arrhythmia; | ||||||
| Huang | Jin Yin-Tan | 41 | Non-ICU/ICU | 28 | 13 | – |
| Wang | Zongnan | 138 (17%) | Non-ICU/ICU | 102 (7%) | 36 (44%) | <0.001 |
| Zhou | JY-T and Wuhan | 191 | Survive/dead | 137 | 54 | – |
| Ruan | Tongji | 150 | Survive/dead | 82 | 68 | – |
| Shock; | ||||||
| Huang | Jin Yin-Tan | 41 (7%) | Non-ICU/ICU | 28 (0%) | 13 (23%) | 0.027 |
| Wang | Zongnan | 138 (9%) | Non-ICU/ICU | 102 (1%) | 36 (31%) | <0.001 |
| Zhou | JY-T and Wuhan | 191 (20%) | Survive/dead | 137 (0%) | 54 (70%) | <0.0001 |
| Ruan | Tongji | 150 | Survive/dead | 82 | 68 | – |
| ARDS; | ||||||
| Huang | Jin Yin-Tan | 41 (29%) | Non-ICU/ICU | 28 (4%) | 13 (85%) | <0.001 |
| Wang | Zongnan | 138 (20%) | Non-ICU/ICU | 102 (5%) | 36 (61%) | <0.001 |
| Zhou | JY-T and Wuhan | 191 (31%) | Survive/dead | 137 (7%) | 54 (93%) | <0.0001 |
| Ruan | Tongji | 150 | survive/dead | 82 | 68 | – |
| AKI; | ||||||
| Huang | Jin Yin-Tan | 41 (7%) | Non-ICU/ICU | 28 (0%) | 13 (23%) | 0.027 |
| Wang | Zongnan | 138 (4%) | Non-ICU/ICU | 102 (2%) | 36 (8%) | 0.11 |
| Zhou | JY-T and Wuhan | 191 (15%) | Survive/dead | 137 (1%) | 54 (50%) | <0.0001 |
| Ruan | Tongji | 150 | Survive/dead | 82 | 68 | – |
ICU, intensive care unit; ARDS, acute respiratory distress syndrome; AKI, acute kidney injury.
P-values are provided if they were provided in the publication.
Delays from illness onset to complication (adapted from Zhou et al.; n = 191; survive = 137; die = 54)
| All (191) | Non-survivors (54) | |
|---|---|---|
| Sepsis | In 59%: 9 days (7–13) | In 100%: 10 days (7–14) |
| ARDS | In 31%: 12 days (8–15) | In 93%: 12 days (8–15) |
| Acute cardiac injury | In 17%: 15 days (10–17) | In 59%: 14.5 days (9.5–17) |
| Secondary Infection | In 15%: 15 days (13–19) | In 50%: 15 days (13–19) |
| Acute kidney injury | In 15%: 15 days (13–19) | In 50%: ? days (?) |
Diagnostic tests in patients with COVID-19 and cardiovascular involvement
| Test | Diagnostic considerations in COVID-19 patients |
|---|---|
| NT-pro BNP/BNP |
Conflicting data on NT-proBNP. In a MERS-CoV cohort, NT-proBNP was increased but it may be normal in COVID-19-affected patients. Higher NT-proBNP levels in the Chinese cohort are associated with a greater need for ICU care. |
| Troponin | High-sensitivity troponin assay may be helpful for risk assessment in patients requiring ICU care and to identify individuals with silent myocardial injury. |
| D-dimer | Reports from the initial outbreak in Wuhan show a key relationship with a requirement for ICU care and mortality. |
| Procalcitonin | A marker of bacterial infection; it is more likely to be raised in patients who will require ICU care. |
| Full blood count |
Often shows leucopenia/lymphocytopenia Low platelets associated with adverse outcome |
| IL-6 | Where available; high concentrations are associated with adverse outcome. |
| Ferritin | A marker of poor outcome; very significant changes reported in COVID-19 patients. |
| Cardiac CT | To be considered in uncertain cases of patients with elevated troponins with and without signs of obstructive coronary artery disease (EACVI position |
| ECG | In MERS-CoV, the 12-lead ECG generally shows diffuse T wave inversion where there is myocardial involvement; this can be dynamic. Changes in COVID-19 were also described. |
| Echocardiography | May show global or regional myocardial systolic dysfunction with or without a pericardial effusion and vice versa. |
The current ACC position advises against routine measurement of troponin or BNP (ACC 18.03).
Proposed investigations in the case of suspicion of myocarditis in COVID-19 patients
|
Detailed history and physical examination. 12-lead ECG on initial visit and periodically, as needed. Serum high-sensitivity troponin, NT-proBNP (according to index of clinical suspicion). Echocardiography to assess for global and regional wall motion abnormalities and function. Cardiac rhythm monitoring. Cardiac MRI, as clinically indicated. Cardiac autoantibody titres may be helpful but not in the acute phase. |
Potential COVID-19 therapies and their cardiovascular effects
| CV side effects | CV warnings/toxicities | Use with caution or avoid in presence of | |
|---|---|---|---|
|
| |||
| Chloroquine/ hydroxychloroquine |
QT interval prolongation Thrombocytopenia Anaemia |
Cardiomyopathy/heart failure Conduction disorders (bundle branch block/AV block) Torsades de pointes Ventricular arrhythmias |
Cardiomyopathy Ventricular arrhythmias Uncorrected hypokalaemia or hypomagnesaemia Bradycardia (<50 b.p.m.) Concomitant administration of QT-prolonging agents Hepatic disease and co-administration with other hepatotoxic drugs |
|
| |||
| Ribavarin |
Thrombocytopenia Haemolytic aanemia |
Anaemia may result in worsening of CAD leading to MI |
Ischaemic heart disease |
| Lopinivir/ritonivir |
Hyperlipidaemia Hypertriglyceridaemia |
Hepatotoxicity QT and PR interval prolongation Torsades de pointes Second- and third-degree AV block |
Conduction system disease Ischaemic heart disease Cardiomyopathy or structural heart disease Uncorrected hypokalaemia or hypomagnesaemia Concomitant administration of QT- or PR-prolonging agents |
| Remdesivir |
Unknown |
Unknown |
Unknown |
|
| |||
| Tocilizumab |
Hypertension Thrombocytopenia Elevated liver transaminases Hyperlipidaemia |
Hepatotoxicity |
Elevated liver transaminases |
| Interferon alpha 2B |
Hypertension Thrombocytopenia Anaemia Elevated liver transaminases Hypertriglyceridaemia |
Hepatotoxicity Thyroid dysfunction Pericarditis Ischaemic and haemorrhagic cerebrovascular events Arrhythmias Myocardial ischaemia/infarction Cardiomyopathy |
Decompensated liver disease Cardiac abnormalities |
References: www.medscape.com; CAD, coronary artery disease; MI, myocardial infarction.
Summary of current key considerations in COVID-19 diagnosis and treatment
|
|
|
Cardiovascular patients are at increased risk of severe COVID-19 and its complications. Intensive preventive measures should be followed in this group in accordance with WHO and CDC guidelines. This should include wider use of telemedicine tools in day to day monitoring of the patients during the outbreak to limit their exposure. The heterogeneity of responses between individual patients indicates that it unlikely that it can be considered as a single disease phenotype. Host characteristics promotes more or less severe progression of the disease. The most common cardiac complications include arrhythmia (AF, ventricular tachyarrhythmia, and ventricular fibrillation), cardiac injury (elevated hs-cTnI and CK), fulminant myocarditis, and heart failure. Cardiac complications often appear >15 days after initiation of the fever (symptoms) Evaluation of cardiac damage (particularly cTnI levels) immediately after hospitalization for COVID-19, as well as monitoring during the hospital stay, may help in identifying a subset of patients with possible cardiac injury and thereby predict the progression of COVID-19 complications. Some of the medications used in COVID-19 treatment may contribute to cardiac toxicity, while their effectiveness in treating COVID-19 is unconfirmed. |
|
|
|
Hypertension is one of the most common risk-associated comorbidities, but this association is cofounded by age. It is not clear if hypertension is an age-independent risk factor of COVID-19-associated outcomes. As a precaution, it is essential that hypertension remains well controlled. There is no evidence that ACEIs or ARBs are associated with worse prognosis, and patients should not discontinue use of these medications. Based on experimental evidence in other conditions, particularly ARBs and possibly also ACEIs might exert a potentially protective influence in the setting of COVID-19. COVID-19 may lead to plaque instability and MI, which has a common cause of death in SARS/COVID-19 patients. However, the evidence of effectiveness of primary PCI for type 2 MI during acute viral disease is limited. ACE2 can be considered as a Cinderella of cardiovascular medicine. A molecule which has been underappreciated in cardiovascular pathology is taking centre stage in understanding and potentially combating COVID-19. |