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The Task Force for the management of COVID-19 of the European Society of Cardiology , European Society of Cardiology guidance for the diagnosis and management of cardiovascular disease during the COVID-19 pandemic: part 1—epidemiology, pathophysiology, and diagnosis, European Heart Journal, Volume 43, Issue 11, 14 March 2022, Pages 1033–1058, https://doi.org/10.1093/eurheartj/ehab696
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Abstract
Since its emergence in early 2020, the novel severe acute respiratory syndrome coronavirus 2 causing coronavirus disease 2019 (COVID-19) has reached pandemic levels, and there have been repeated outbreaks across the globe. The aim of this two-part series is to provide practical knowledge and guidance to aid clinicians in the diagnosis and management of cardiovascular disease (CVD) in association with COVID-19.
A narrative literature review of the available evidence has been performed, and the resulting information has been organized into two parts. The first, reported here, focuses on the epidemiology, pathophysiology, and diagnosis of cardiovascular (CV) conditions that may be manifest in patients with COVID-19. The second part, which will follow in a later edition of the journal, addresses the topics of care pathways, treatment, and follow-up of CV conditions in patients with COVID-19.
This comprehensive review is not a formal guideline but rather a document that provides a summary of current knowledge and guidance to practicing clinicians managing patients with CVD and COVID-19. The recommendations are mainly the result of observations and personal experience from healthcare providers. Therefore, the information provided here may be subject to change with increasing knowledge, evidence from prospective studies, and changes in the pandemic. Likewise, the guidance provided in the document should not interfere with recommendations provided by local and national healthcare authorities.
Introduction
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causing coronavirus disease 2019 (COVID-19) reached pandemic levels in March 2020 and has caused repeated waves of outbreaks across the globe. Coronavirus disease 2019 shares many manifestations of a systemic disease and has major implications for the cardiovascular (CV) system, which are summarized in a two-part review entitled European Society of Cardiology (ESC) guidance for the diagnosis and management of cardiovascular disease (CVD) during the COVID-19 pandemic.
The first part of the document addresses the topics of impact of CVD comorbidities on the epidemiology of COVID-19 together with the CV manifestations of COVID-19, the pathophysiology of COVID-19 as it concerns the CV system, strategies for diagnosing SARS-CoV-2, and approaches to diagnosing CVD among patients with COVID-19.
Approximately 1 year after SARS-CoV-2 first emerged, we are now better informed about the way in which the infection interacts with the CV system. This review updates our knowledge on the specific types of CVD that appear to be a consequence of severe infection, which include myocardial injury, arrhythmias, heart failure (HF), vascular dysfunction, and thromboembolic disease. Possible mechanisms of CV injury are described. The document provides an update on how SARS-CoV-2 infection is diagnosed, before providing a detailed account of how CV conditions should be diagnosed in patients with COVID-19, covering the clinical presentation, the electrocardiogram (ECG), the effect of disease on cardiac biomarkers, and imaging.
While the document is comprehensive, it is ‘not a guideline’ but rather ‘a guidance’ document. The recommendations are the result of observations and personal experience from healthcare providers. The present publication provides a summary of the guidance until February 2021. Therefore, the information provided here may be subject to change with increasing knowledge, evidence from prospective studies, and changes in the pandemic. Likewise, the guidance provided in the document should in no way interfere with recommendations provided by local and national health care authorities.
Epidemiology
Impact of cardiovascular comorbidities on COVID-19 outcomes
SARS-CoV-2 was first reported in Wuhan, China, on 31 December 2019. It is a new coronavirus strain that had not previously been identified in humans and causes the illness COVID-19. By 7 May 2020, 3.67 million had tested positive and >250 000 had died.1 By 22 March 2021, ∼124 million cases and 2.7 million deaths had been reported globally.2
After the start of the COVID-19 pandemic in Wuhan, China, the epicentre of the pandemic started to shift in March 2020 to Europe, Latin America, and the USA. Numerous countries took different policy measures in an attempt to reduce the spread and the pressure on the national healthcare systems such as lockdowns, curfews and closure of non-essential stores. These measures led to a flattening of the curve and ultimately to a decrease of detected cases between May and August.2 Many countries eased their policy measures over the summer. At the end of the summer, detected cases started to gradually increase in many countries, potentially due to the reopening of many activities that have been known to contribute to higher SARS-CoV-2 diffusion.2 This led to the so-called second wave in which many countries had to enforce similar or even stricter policy measures to reduce the burden of the COVID-19 pandemic.3 Currently, the peak of the second wave seems to be over in many European countries; however, policy measures remain strict and there are concerns that a third wave is commencing in some European countries, leading to new restrictions. Vaccination programmes are now under way across Europe, but rollout has been challenging owing to delays in accessing vaccine supplies. Situation reports of the COVID-19 pandemic are disseminated by the World Health Organization on their website.2
Multiple studies have demonstrated that comorbid CVD is linked to a more severe course and higher mortality of COVID-19.4–8 The meta-analysis by Figliozzi et al.5 showed that a history of CVD tripled the odds [odds ratio (OR) 3.15, 95% confidence interval (CI) 2.26–4.41] of the occurrence of a severe course of COVID-19, which was defined as death, severe COVID‐19 infection, hospitalization in intensive care unit (ICU), and/or use of mechanical ventilation or progression of the disease. Congestive HF was identified both as a risk factor for a more severe course and increased mortality and as a possible consequence of a COVID-19.6,8–10 Tomasoni et al.10 demonstrated that patients with a history of HF have significantly poorer outcomes with higher mortality and in-hospital complications. A meta-analysis of Ssentongo et al.7 concluded that the presence of HF was associated with a doubling of the odds of COVID-19 mortality (OR 2.03, 95% CI 1.28–3.21).
Next to CVD, CV risk factors are associated with higher risk for a more severe course and higher mortality.
Diabetes mellitus and COVID-19 are linked in numerous ways. COVID-19 seems to exacerbate the underlying pathophysiology of hyperglycaemia in people with diabetes.11 A whole-population study in England revealed that the ORs for in-hospital COVID-19-related death were 3.51 (95% CI 3.16–3.90) in people with type 1 diabetes and 2.03 (95% CI 1.97–2.09) in people with type 2 diabetes.11 Increased severity and higher mortality rates of COVID-19 are also observed in obese patients.5, 7, 12, 13 A pooled analysis including 399 461 diagnosed patients concluded that obese individuals were more at risk of COVID-19 positivity (OR 1.46, 95% CI 1.30–1.65), for hospitalization (OR 2.13, 95% CI 1.74–2.60), ICU admission (OR 1.74, 95% CI 1.46–2.08) and for mortality (OR 1.48, 95%CI 1.22–1.80).13 Chronic kidney disease is another comorbidity that is associated with a more severe course of COVID-19.5, 7, 14, 15 Lower estimated glomerular filtration rates were associated with greater hazard ratios for mortality from COVID-19.14, 15 Hypertension is one of the most common comorbidities among COVID-19 patients.16–18 Multiple meta-analyses concluded that the presence of hypertension significantly increased the odds for a severe course of COVID-19 or mortality,4, 5, 7 though relations with obesity, substantially more prevalent in the presence of hypertension, should be further clarified.19,20
Ethnicity seems to be linked to susceptibility for, and outcomes from, COVID-19.21–25 Data from the UK show that one-third of patients admitted to an ICU due to COVID-19 were from an ethnic minority background such as South-Asians and blacks.21,24 Reports from the USA reveal the same message that ethnic minority groups such as African Americans have also been disproportionately affected by COVID-19.22
Case fatality is highest in older age groups. A meta-analysis including 611 583 patients highlighted the determinant effect of age on mortality.26 The highest mortality occurs in patients aged ≥80 years in whom mortality was 6 times higher than in younger patients.26 This underlines the fact that increasing age is the dominant risk factor for a severe course of COVID-19. Multinational cohort analyses will give more insights into the prevalence and risk of CV comorbidities in COVID-19. There are several potential mechanisms explaining why the course of the disease is more severe in patients with underlying CV risk factors and CVD. These are described in Section Pathophysiology—mechanism of disease in relation to the CV system of this manuscript and the Guidance Part 2.
Cardiovascular manifestations and clinical course of COVID-19
Previous coronavirus outbreaks such as severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS) were associated with a significant burden of CV morbidity.27,28 Common CV complications in SARS were hypotension, myocarditis, arrhythmias, and sudden cardiac death.29,30 Diagnostic workup during SARS infection revealed electrocardiographic changes, subclinical left ventricular (LV) diastolic impairment, and troponin elevation.31,32
COVID-19 seems to have comparable cardiac manifestations to previous outbreaks with other coronaviruses. Evidence of myocardial injury is frequent at the time of admission in hospitalized COVID-19 patients.17,33,34 Typically, patients with evidence of injury are older and have more CV comorbidities and risk factors. Elevated troponin levels are associated with a greater need for mechanical ventilatory support and higher in-hospital mortality.29,35 Numerous potential links exist between systemic viral infection and acute coronary ischaemic syndromes.36 There is some evidence that active COVID-19 increases the risk of acute myocardial infarction (MI) and ischaemic stroke.37 Plaque-destabilizing and supply–demand imbalance are mechanisms through which COVID-19 may precipitate acute coronary syndromes (ACSs).38 Multiple studies have shown that many patients with an ACS did not receive medical care and hospital admission during the first wave of the pandemic, probably due to the fear of acquiring COVID-19.39–43 Therefore, a proportion of the sudden and unexplained deaths at home in COVID 19-suspected patients may be explained by a type 3 MI.38 Multiple case reports showed the presence of acute myocarditis at the time of symptomatic COVID-19, but the precise incidence is still unclear.44–46 A prospective study in Germany performed cardiac magnetic resonance (CMR) imaging studies in 100 patients recovered from COVID-19. The studies demonstrated that 60% of patients had ongoing myocardial inflammation.47
Arrhythmias are a common manifestation of CVD in patients with COVID-19.38 Bradyarrhythmias specific to COVID-19 have not been described. Data on the frequency of malignant arrhythmias such as ventricular tachycardias (VTs) and atrial fibrillation (AF) in COVID-19 patients are still limited. Small clinical studies estimate the incidence of new-onset AF between 3.6% and 6.7% in patients with COVID-19.35,48,49 A Danish nationwide registry study published that the diagnosis of new-onset AF was 47% lower during the first 3 weeks of the national lockdown compared with the same period of previous year, perhaps for the same reasons that led to a reduction in hospital admissions for ACSs.50
Early studies from China demonstrated that HF decompensation was one of the most common complications of COVID-19.51 Heart failure and COVID-19 may be linked via direct viral infiltration, inflammation, or cardiac fibrosis.52 The increased metabolic demands of COVID-19 could also unmask subclinical HF or exacerbate pre-existing HF.52 Increased levels of serum B-type natriuretic peptide (BNP) were linked with significantly increased odds of mortality.53 A meta-analysis showed that HF was a complication in 11.5% of COVID-19 patients.54
Venous thromboembolic disease is increasingly recognized as a key contributor to the rapid deterioration of hospitalized patients with severe COVID-19.35,38,55,56 Multiple smaller studies reported an incidence of thromboembolic events ranging between 25% and 31%.57,58 A propensity-matched comparison between 150 patients with COVID-19 acute respiratory distress syndrome (ARDS) and 145 non-COVID-19 ARDS patients concluded that venous thromboembolic events, especially pulmonary thromboembolism, were significantly more prevalent in patients with COVID-19 ARDS.59 Those reports also demonstrated an association between inflammatory and prothrombotic markers and with venous thromboembolic disease and mortality.38,57–59
The presence of acute cardiac injury, vascular dysfunction, and thrombosis in patients with COVID-19 raises important questions about potential long-term CV effects. At this moment, it remains unclear if COVID-19 leads to persistent myocardial injury and/or if it is associated with increased long-term risk for developing coronary artery disease and HF.52 Extensive (cardiac) follow-up of COVID-19 patients is needed to mitigate the potential long-term adverse physical and mental health effects.60 Multi-ethnic long-ranging longitudinal observational studies will be critical to elucidate the duration and severity of health consequences attributable to COVID-19.60
Pathophysiology—mechanism of disease in relation to the cardiovascular system
SARS-CoV-2 is a unique strain of novel enveloped, single-stranded ribonucleic acid (RNA) viruses. It has surface projections that correspond to surface spike proteins.61 The natural reservoir of SARS-CoV-2 seems to be the chrysanthemum bat,62 but the intermediate host remains unclear. SARS-CoV-2 is highly virulent and the transmission capacity is greater than the previous SARS virus (outbreak in 2003), with high abundance in infected people (up to a billion RNA copies/mL of sputum) and long-term stability on contaminated surfaces.63 While the infectivity of SARS-CoV-2 is greater than that of influenza or SARS-coronavirus, more data are needed for accurate assessment.64 Transmission occurs primarily by a combination of spread by droplet, and direct and indirect contact, and may possibly be airborne as well. The viral incubation period is 2–14 days (mostly 3–7 days).65 It is contagious during the latency period. SARS-CoV-2 can initially be detected 1–2 days prior to the onset of upper respiratory tract symptoms. Mild cases were found to have an early viral clearance, with 90% of these patients repeatedly testing negative on reverse transcriptase polymerase chain reaction (RT-PCR) by day 10 post-onset.66 By contrast, in severe cases, the median duration of viral shedding was 20 days (interquartile range: 17–24) in survivors.8 The longest observed duration of viral shedding in survivors was 83 days in the upper respiratory tract.67
The host receptor through which SARS-CoV-2 enters cells to trigger infection is ACE2 (Figure 1).68,69 ACE2 is a multifunctional protein. Its primary physiological role is the enzymatic conversion of angiotensin (Ang) II to Ang-(1–7), and Ang I to Ang-(1–9), which are CV protective peptides.70 In the context of COVID-19, however, ACE2 is also involved in SARS through its function as the coronavirus receptor.71 Virus entry into lung alveolar epithelial cells is facilitated by high levels of expression of ACE2 in these cells, which lead to enhanced binding of the SARS-CoV-2 spike protein through processes involving cell surface associated transmembrane protein serine 2 (TMPRSS2)72 or proprotein convertase furin (Figure 1). Interestingly, the recently identified neuropilin 1 (NRP1) can greatly enhance infectivity when co-expressed with ACE2 and TMPRSS2. The role of NRP1 appears to be SARS-CoV-2 specific and has not been seen with SARS-CoV.73–75 Within the host cell cytoplasm, the viral genome RNA is released and replicates leading to newly formed genomic RNA, which is processed into virion-containing vesicles that fuse with the cell membrane to release the virus. SARS-CoV-2 is spread mainly through the respiratory tract by droplets, respiratory secretions and direct contact. The ACE/ACE2 seems to be disrupted by SARS-CoV-2 infection, which likely plays a pathogenic role in severe lung injury and respiratory failure in COVID-19.76 In addition to the lungs, ACE2 is highly expressed in the heart, blood vessels and gastrointestinal tract.77,78 Other receptors can also facilitate the entry of SARS-CoV-2.
COVID-19 is primarily a respiratory disease, but—as noted in Sections Impact of cardiovascular comorbidities on COVID-19 outcomes and Cardiovascular manifestations and clinical course of COVID-19—many patients also have CVD, such as hypertension and obesity, acute myocardial injury and myocarditis (Figure 2).28,79,80 This may be secondary to the lung disease, since acute lung injury itself leads to increased cardiac workload and can be problematic especially in patients with pre-existing HF. CVD may also be a primary phenomenon considering the important (patho)physiological role of the renin–angiotensin system (RAS)/ACE2 in the CV system and the fact that ACE2 is expressed in human heart, vascular cells, and pericytes.81,82 In vitro studies have demonstrated that SARS-CoV-2 directly infects human-induced pluripotent stem cell-derived cardiomyocytes in an ACE2- and cathepsin-dependent manner. These effects can be inhibited by the antiviral drug remdesivir.83 It is important to note that while biologically able to inhibit cardiomyocyte effects in vitro, remdesivir does not improve overall mortality, initiation of ventilation, or duration of hospital stay.84 SARS-CoV-2-induced pathways within cardiomyocytes are related to viral response and interferon inflammatory signalling, apoptosis, and oxidative stress.
Relationships between hypertension, ACE2, and COVID-19
As noted above, the prevalence of pre-existing hypertension seems to be higher in COVID-19 patients who develop severe disease vs. those who do not.8,85 This seems to also be true for ARDS or death. The mechanisms underlying potential relationships between hypertension and COVID-19 are thought most likely to relate to confounding due to age and associated comorbidities, namely obesity.86,87 The earlier studies were not age adjusted, but when age was accounted for in more recent studies, hypertension was associated with a higher risk up to the age of 70 and a lower risk in patients older than 70 years.14 The reasons for the inverse relationship in older patients are unclear but might be related to the decline of prevalence of obesity in the older age-stratum and reverse causality, i.e. that weight loss or underweight in older people is often associated with significant underlying disease.88 Previous speculation suggested that treatment of hypertension with RAS inhibitors may influence SARS-CoV-2 binding to ACE2, promoting disease.89 The extremely frequent cluster of hypertension with obesity suggests that obesity, namely central obesity, may provide a reservoir for viral replication, immune activation, and cytokine amplification, leading to more severe COVID-19 disease.20,90,91 This is based on some experimental findings that RAS inhibitors cause a compensatory increase in tissue levels of ACE292–94 and that angiotensin-converting enzyme inhibitor (ACEI) or angiotensin receptor blockers (ARBs) may be detrimental in patients exposed to SARS-CoV-2.95 It is, however, important to emphasize that there is no clear evidence that using ACEIs or ARBs leads to the up-regulation of ACE2 in human tissues. The available data from blood samples suggest that there is no association between circulating levels of ACE2 and use of renin–angiotensin–aldosterone system antagonists.96 Similar findings have been identified in human kidneys, where increased ACE2 expression was associated with age but not with hypertension, or antihypertensive therapies.97 It also appears that in experimental models ARBs may have a potentially protective influence.98,99 In a recent study performed on a large number of human kidneys, neither hypertension nor antihypertensive treatment altered the expression of the key entry receptor for SARS-CoV-2 showing moreover that ACE2 is most likely nephro-protective but exhibits an age-related increase.97 A recent population-based case–control study in the Lombardy region of Italy of 6272 SARS-CoV-2-infected patients showed no evidence that ACEI or ARBs affected the risk of COVID-19,100 while a Wuhan study demonstrated that in 1128 hospitalized patients use of ACEI/ARB was also not associated with a higher risk of COVID-19 or serious complication or deaths from COVID-19.85,100–105 Very recently, a retrospective analysis conducted in 1584 hospitalized patients with COVID-19 found that discontinuation of ACEI, ARBs, or β-blocker was associated with an increased risk of dying, whereas discontinuation of calcium channel blockers and diuretics was not.91 This supports prior guidance from major CV Societies that stated that patients on ACEIs or ARBs should not stop their treatment.45,96
Acute cardiac injury and myocarditis in COVID-19
Evidence of acute cardiac injury with raised troponin levels appears in COVID-19 patients several days after initiation of fever indicating myocardial damage associated with viral infection. Mechanisms of SARS-CoV-2-induced myocardial injury remain elusive106 but may relate, in part, to direct SARS-CoV-2 effects on cardiac myocytes,83 or through up-regulation of ACE2 in the heart and coronary vessels.45,81 Respiratory failure and hypoxia in COVID-19 may also cause damage to the myocardium and immune mechanisms of myocardial inflammation may be especially important.45,79,107 For example, cardiac injury leads to activation of the innate immune response with the release of proinflammatory cytokines, as well as to the activation of adaptive auto-immune type mechanisms through molecular mimicry.
While initial studies suggested that myocarditis may occur early during COVID-19, more recent studies have been less convincing in showing an association between myocarditis and SARS-CoV-2 infection. A definitive diagnosis of myocarditis should be based on endomyocardial biopsies or autopsy using established histologic and immunohistochemical criteria.108 While the presence of virus has been demonstrated in the heart from patients who died from COVID-19,109 the endomyocardial biopsy criteria for myocarditis, with the classic type of acute lymphocytic myocarditis or lymphocytic inflammatory cardiomyopathy, have yet to be convincingly demonstrated. Thus, myocarditis seems to be an uncommon complication in the course of SARS-CoV-2 infection.110
Immune system dysregulation and cardiovascular disease in COVID-19
Inflammatory mechanisms and activation of immune responses underlie a large range of CVDs including atherosclerosis, HF, and hypertension.111,112 Inflammatory responses in COVID-19 may mediate at least some of the key aspects of CV comorbidity.113,114 First, another receptor through which SARS-CoV-2 may enter cells is cluster of differentiation 209.115 CD209 is expressed in macrophages promoting virus invasion into immune cells in cardiac and vascular tissues. More importantly, in severe cases of COVID-19, systemic increases of numerous cytokines including IL-6 IL-2, IL-7, granulocyte colony-stimulating factor, C-X-C motif chemokine ligand 10, chemokine (C-C motif) ligand 2, and tumour necrosis factor alpha have all been observed in subjects with COVID-19,116 which corresponds to the characteristics of a cytokine release syndrome (CRS).
Altered vascular permeability can result in non-cardiogenic pulmonary oedema and promotes ARDS as well as multiorgan dysfunction. High serum IL-6 levels are a common feature in CRS. IL-6 is a clinical predictor of mortality in COVID-19.117 Thus, IL-6 targeting may be permissive for use in COVID-19 to tackle the CRS. Finally, it has been shown that hypertension is associated with circulating lymphocytes in patients118 and CD8 T-cell dysfunction with development of CVD.119 Obesity is thought to play a key role in the amplification of the inflammatory response and in the immune dysregulation.120 CD8 T cells are a pillar of antiviral immunity; thus, their dysfunction can make the organism inefficiently target virally infected cells.
Strategies for diagnosing SARS-CoV-2
As evidenced by previous epidemics, including SARS and MERS, highly sensitive and specific laboratory diagnostics are essential for case identification, contact tracing, animal source finding, and efficient and rational containment measures.121 Precise case identification is essential to isolate vulnerable individuals. Based on the current epidemiological analysis, a history of CVD conveys risk of a more severe outcome of COVID-19;28,79 therefore, testing should be particularly considered in CVD patients. Moreover, similar to influenza, efficient testing of carers and people in contact with high-risk patients may allow the protection of subjects with multiple comorbidities. The decision to test should be based on clinical and epidemiological factors and linked to an assessment of the likelihood of infection, in particular when availability of tests is limited. All subjects with COVID-19 symptoms should be tested immediately after symptom onset to identify and isolate people testing positive. Efficient testing also allows for timely contact tracing. In immediate contacts, testing should be considered irrespective of symptoms.122
European Centre for Disease Prevention and Control also recommends that all healthcare staff and patients are comprehensively and periodically tested and patients admitted for routine CV procedures and hospitalizations should be tested prior to (or during) hospital admission.122 Available testing strategies are outlined below (Table 1).
Test . | Mechanism of detection . | Testing material . | Availability for POC . | Positive test indicates . | Use of tests . |
---|---|---|---|---|---|
Nucleic acid amplification tests | RT-PCR and NGS detection of genetic sequences of conserved regions for regions of the virus, e.g. N, E, S, and RdRP genes. Two independent sequences need to be detected | Ambulatory: nasopharyngeal swabs, sputum In hospital: sputum, endotracheal aspirate, BAL blood, faeces | Under development—SAMBA II SARS-CoV-2 rapid test | Confirms current SARS-CoV-2 infection | Individual testing |
Antibody based immunoassaya | ELISA detecting IgM or IgG anti-SARS-CoV-2 antibodies | Serum | Yes (depending on test design) | IgM+: 3–5 days post-onset IgG: past infection | Overall infection/immunity rates in a community |
Antigen-based immunoassaya | ELISA detecting viral proteins, e.g. S (spike protein) or N protein (nucleocapsid) | Nasopharyngeal swabs, sputum and other lower respiratory tract secretions, BAL blood, faeces | Yes (depending on test design) | Confirms current SARS-CoV-2 infection | Individual testing |
Clinical tests | Clinical symptoms (fever/cough) Epidemiological history Imaging (CT) | CT—detection of radiological features | Yes | Infection possible | Triage to identify candidates for further testing |
Test . | Mechanism of detection . | Testing material . | Availability for POC . | Positive test indicates . | Use of tests . |
---|---|---|---|---|---|
Nucleic acid amplification tests | RT-PCR and NGS detection of genetic sequences of conserved regions for regions of the virus, e.g. N, E, S, and RdRP genes. Two independent sequences need to be detected | Ambulatory: nasopharyngeal swabs, sputum In hospital: sputum, endotracheal aspirate, BAL blood, faeces | Under development—SAMBA II SARS-CoV-2 rapid test | Confirms current SARS-CoV-2 infection | Individual testing |
Antibody based immunoassaya | ELISA detecting IgM or IgG anti-SARS-CoV-2 antibodies | Serum | Yes (depending on test design) | IgM+: 3–5 days post-onset IgG: past infection | Overall infection/immunity rates in a community |
Antigen-based immunoassaya | ELISA detecting viral proteins, e.g. S (spike protein) or N protein (nucleocapsid) | Nasopharyngeal swabs, sputum and other lower respiratory tract secretions, BAL blood, faeces | Yes (depending on test design) | Confirms current SARS-CoV-2 infection | Individual testing |
Clinical tests | Clinical symptoms (fever/cough) Epidemiological history Imaging (CT) | CT—detection of radiological features | Yes | Infection possible | Triage to identify candidates for further testing |
BAL, bronchoalveolar lavage; CT, computed tomography; ELISA, antigen-based enzyme-linked immunosorbent assay; NGS, next-generation sequencing; POC, point of care; RT-PCR, reverse transcriptase polymerase chain reaction; SAMBA, simple amplification-based assay; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.
Still in experimental phase, now available for research.
Test . | Mechanism of detection . | Testing material . | Availability for POC . | Positive test indicates . | Use of tests . |
---|---|---|---|---|---|
Nucleic acid amplification tests | RT-PCR and NGS detection of genetic sequences of conserved regions for regions of the virus, e.g. N, E, S, and RdRP genes. Two independent sequences need to be detected | Ambulatory: nasopharyngeal swabs, sputum In hospital: sputum, endotracheal aspirate, BAL blood, faeces | Under development—SAMBA II SARS-CoV-2 rapid test | Confirms current SARS-CoV-2 infection | Individual testing |
Antibody based immunoassaya | ELISA detecting IgM or IgG anti-SARS-CoV-2 antibodies | Serum | Yes (depending on test design) | IgM+: 3–5 days post-onset IgG: past infection | Overall infection/immunity rates in a community |
Antigen-based immunoassaya | ELISA detecting viral proteins, e.g. S (spike protein) or N protein (nucleocapsid) | Nasopharyngeal swabs, sputum and other lower respiratory tract secretions, BAL blood, faeces | Yes (depending on test design) | Confirms current SARS-CoV-2 infection | Individual testing |
Clinical tests | Clinical symptoms (fever/cough) Epidemiological history Imaging (CT) | CT—detection of radiological features | Yes | Infection possible | Triage to identify candidates for further testing |
Test . | Mechanism of detection . | Testing material . | Availability for POC . | Positive test indicates . | Use of tests . |
---|---|---|---|---|---|
Nucleic acid amplification tests | RT-PCR and NGS detection of genetic sequences of conserved regions for regions of the virus, e.g. N, E, S, and RdRP genes. Two independent sequences need to be detected | Ambulatory: nasopharyngeal swabs, sputum In hospital: sputum, endotracheal aspirate, BAL blood, faeces | Under development—SAMBA II SARS-CoV-2 rapid test | Confirms current SARS-CoV-2 infection | Individual testing |
Antibody based immunoassaya | ELISA detecting IgM or IgG anti-SARS-CoV-2 antibodies | Serum | Yes (depending on test design) | IgM+: 3–5 days post-onset IgG: past infection | Overall infection/immunity rates in a community |
Antigen-based immunoassaya | ELISA detecting viral proteins, e.g. S (spike protein) or N protein (nucleocapsid) | Nasopharyngeal swabs, sputum and other lower respiratory tract secretions, BAL blood, faeces | Yes (depending on test design) | Confirms current SARS-CoV-2 infection | Individual testing |
Clinical tests | Clinical symptoms (fever/cough) Epidemiological history Imaging (CT) | CT—detection of radiological features | Yes | Infection possible | Triage to identify candidates for further testing |
BAL, bronchoalveolar lavage; CT, computed tomography; ELISA, antigen-based enzyme-linked immunosorbent assay; NGS, next-generation sequencing; POC, point of care; RT-PCR, reverse transcriptase polymerase chain reaction; SAMBA, simple amplification-based assay; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.
Still in experimental phase, now available for research.
While isolation of the virus itself using electron microscopy would be the most specific diagnostic, it requires biosafety level-3 facilities, which are not available in most healthcare institutions. Serum antibody and antigen detection tests would be the easiest and fastest but have not yet been validated, and there may be cross-reactivity with other coronaviruses, especially SARS coronavirus. Furthermore, antibodies are not measurable in the initial phase of the infection. Therefore, real-time PCR remains the most useful laboratory diagnostic test for COVID-19 worldwide.123,124
Comparative specificity and sensitivity of these tests needs to be carefully assessed, when more data are available. It is important to note that negative results of molecular testing (RT-PCR) do not preclude SARS-CoV-2 infection (1–30% false-negative results were reported)125,126 and should not be used as the sole basis for patient management decisions but must be combined with clinical observations, patient history, and epidemiological information. There are a number of factors that may lead to a negative result in an infected individual. These include poor quality of the specimen (small material), collection late or very early in the infection, poor handling/shipping, as well as technical reasons inherent in the test such as virus mutation or PCR inhibition. Therefore, retesting is recommended after 48 h in clinically suspected cases that test negative.
It is essential that adequate standard operating procedures are in use and that staff are trained for appropriate specimen collection, storage, packaging, and transport. This must be observed in order for testing to be reliable and safe for staff and patients.
The optimal testing material includes nasal swabs rather than pharyngeal. To obtain a sufficiently deep swab, the sample must be obtained by experienced and trained staff. According to a comparative study using lung CT as comparator, the sensitivity of nasopharyngeal swab may be limited to 60–70%.127 It has also been concluded that the test does not seem to change clinical decisions and diagnostic considerations in subjects with pre-test probability exceeding 60–70% (e.g. subjects with positive epidemiological and clinical criteria fulfilled). This, however, does not indicate that such tests should not be performed to confirm infection, but it is important that the test is repeated if there is clinical suspicion of SARS-CoV-2 infection. Lung CT has a high sensitivity for diagnosis of COVID-19 in hospitalized patients who are RT-PCR positive. In a study undertaken between 6 January and 6 February 2020 in Tongji Hospital, Wuhan, China, in a population of 1014 patients, when using RT-PCR as a reference, the sensitivity of lung CT imaging for COVID-19 was 97%.127 Importantly, 60–93% of patients had initial positive lung CT consistent with COVID-19 before the initial positive RT-PCR results.
Nucleic acid shedding is also an important tool to verify patient improvement, although 42% of patients showed improvement of follow-up lung CT scans before the RT-PCR results turning negative.127 It is important, however, that nucleic acid shedding does not always indicate presence of live virus.
Data on antigen tests for SARS-CoV-2 are dynamically developing, and they are typically less sensitive than NAATs. However, due to their rapid point-of-care nature they can contribute to overall COVID-19 testing capacity.128
Detection of IgM or IgG antibodies to SARS-CoV-2 in the blood may be useful to identify people who previously had SARS-CoV-2 infection as well as patients with current infection who have had symptoms for 3–4 weeks. Their use in acute settings is limited by the latency of antibody development during infection.
Widespread testing strategies included drive-through testing. However, testing capacity may be insufficient. Thus, testing priorities have been suggested by individual health systems such as one proposed by Centers for Disease Control for the USA.129 Sample pooling strategy has been proposed in relation to sample collection as the most cost-efficient tool for population-wide screening, for example, at airports.
SARS-CoV-2 testing during influenza season:
European Centre for Disease Prevention and Control recommends that during the influenza season, all patients with acute respiratory symptoms in hospitals and within other healthcare settings, and all specimens from sentinel primary care surveillance, should be tested for SARS-CoV-2 and seasonal influenza in parallel, to monitor incidence and trends over time.122
Diagnosis of cardiovascular conditions in COVID-19 patients
Clinical presentation
Chest pain
Chest pain or tightness is common in patients with active COVID-19. It is usually poorly localized and associated with breathlessness due to the underlying pneumonia. Associated profound hypoxaemia together with tachycardia may result in chest pain and electrocardiographic changes suggestive of myocardial ischaemia. When biomarkers are elevated in conjunction with ECG changes, type 2 MI may be suggested. Patients with ACS do, however, experience typical symptoms related to ischaemia when they have COVID-19. The presence of a COVID-19 can make the differential diagnosis more difficult, as shortness of breath and respiratory symptoms may be present and may precede or precipitate cardiac signs and symptoms.
Dyspnoea, cough, and respiratory distress
Dyspnoea
Dyspnoea (shortness of breath) is one of the typical symptoms in COVID-19. Of 1099 adult inpatients and outpatients in China, 19% presented with dyspnoea.130 With increasing disease severity, the proportion of patients presenting with dyspnoea significantly increases (31–55% in hospitalized patients and up to 92% of patients admitted to ICUs).35,116,131,132
Cough
Cough is present in 59.4–81.1% of patients with COVID-19, irrespective of disease severity.8,18 Unproductive (dry) cough is more frequent, whereas sputum production is present in 23.0–33.7%.8,116,130,132
Acute respiratory distress syndrome
Acute respiratory distress syndrome is an acute diffuse inflammatory lung injury, leading to increased pulmonary vascular permeability, increased lung weight, and loss of aerated lung tissue. It is characterized by bilateral opacifications on chest imaging (e.g. bilateral ground glass opacifications on CT) and hypoxaemia that cannot be explained by other causes.133 Among 1099 adult inpatients and outpatients in China, ARDS occurred in 3.4%,130 but in hospitalized patients, the rates are significantly higher (19.6–41.8%).8,18,132 The median time from disease onset to ARDS is 8–12.5 days.116 The risk of ARDS increases with older age (≥65 years old), presence of comorbidities (hypertension, diabetes, obesity), neutrophilia, lymphocytopenia, elevated laboratory markers of organ dysfunction [e.g. lactate dehydrogenase, inflammation (C reactive protein), and D-dimer].18 Mortality of patients treated for ARDS in COVID-19 is high (i.e. ∼50%).8,18,116,117,130,132,133
Cardiogenic shock
An early, accurate, and rapid diagnosis of CS in patients with confirmed or suspected COVID-19 is essential.134 The exact incidence of CS in these patients is unknown, but observations of cardiogenic and mixed shock in patients with COVID are accumulating in patients both with and without AMI.135–138 The median duration between onset of symptoms and admission to ICU in critically ill COVID-19 patients has been 9–10 days, suggesting a gradual respiratory deterioration in most patients.139 A simple, actionable classification scheme for CS diagnosis has recently been proposed.140
In critically ill COVID-19 patients at risk for CS (such as those with large AMI, acute decompensated HF; Society for Cardiovascular Angiography and Interventions stage A)103 and sepsis, a mixed aetiology of CS and septic shock should be considered in addition to the sole cardiogenic component. Parameters allowing for a differential diagnosis between CS and septic shock, such as the presence of vasodilatation and central venous oxygen saturation values, may be assessed. In addition, echocardiography may be helpful for differentiation between CS and septic shock as well in the evaluation of CS cause. In selected cases, such as in patients with unclear reasons for haemodynamic deterioration, invasive haemodynamic monitoring via a pulmonary artery catheter may provide useful information.141
The diagnostic workup of critically ill patients with confirmed or suspected COVID-19 requires specific considerations (Figure 3):
The proper level and type of monitoring, in addition to the haemodynamic status of the patient, depend upon available local resources. Importantly, key diagnostic testing in patients with suspected CS, including ECG, bedside echocardiography, and urgent/emergent coronary angiography, should be integrated into local diagnostic protocols (with dedicated and/or protected equipment whenever possible) to ensure both the best deliverable care and a minimal risk of viral transmission to other patients and healthcare providers
Accumulating clinical experience79,142,143 and experimental evidence showing that >7.5% myocardial cells have positive ACE2 receptor expression,78 the target through which SARS-CoV-2 invades human cells indicates that myocarditis complicates COVID-19. This diagnosis should be routinely considered as a potential cause of CS. Importantly, hyperinflammatory syndrome has been associated with CS in patients with biventricular failure.144
Out-of-hospital cardiac arrest, pulseless electric activity, sudden cardiac death, tachyarrhythmias, and bradyarrhythmias
Multiple reports now support the concern of a drastic reduction in the diagnosis and management of cardiac arrhythmias in relation to the first wave of the COVID-19 pandemic.50,145–150 The true prevalence and nature of arrhythmias in patients with COVID-19 remains unknown, as the available publications report variable numbers and few distinguish between the different types.35 The main observations of the published cohorts include:
A significant increase in OHCA has been described in Italy and France, together with a deterioration of the short-term outcome151–153
Among clinically stable patients, the prevalence appears to be low (9%), according to a single-day assessment in 132 hospitalized patients in Italy, mainly AF, with no patient presenting ventricular arrhythmias.154 On the contrary, the prevalence of cardiac arrhythmias appears to be significantly higher in critically ill patients and in patients with increased markers of myocardial injury.29,132,155–158
In a cohort of 700 hospitalized patients in Pennsylvania (11% in the ICU), 9 experienced cardiac arrest (6 PEA, 2 asystole and 1 torsade de pointes), 25 incident AF and 9 clinically significant bradyarrhythmias.49
In another cohort of 1053 hospitalized patients in New York City, arrhythmias were reported in 25.6% of patients: AF in 15.8% (9.6% incident AF), frequent premature ventricular contractions in 13%, ventricular arrhythmias in 2.6% [1.2% sustained VT, 0.9% polymorphic VT and 0.8% ventricular fibrillation (VF)] and advanced atrioventricular (AV) block in 0.4%.157 The presence of atrial arrhythmias was associated with higher levels of inflammation markers and higher 30-day mortality.159
In Italy, a multicentre retrospective analysis of 414 hospitalized patients revealed that the most frequent arrhythmia was incident AF (17.1%; 12.1% was new onset). Other supraventricular arrhythmias occurred in 1.2%. Ventricular tachycardia (no clear definition) was present in 3.4%.
In an early study, VT/VF was reported as a complication of COVID-19 in 11 of 187 patients (5.9%), with a significantly higher incidence in patients with elevated troponin T.29 However, more recent and larger publications report a lower incidence of sustained ventricular arrhythmias in hospitalized patients.49,157,160,161
Studies assessing the rhythms of critically ill COVID-19 patients with in-hospital cardiac arrest describe a majority of PEA or asystole (74–96%) and an incidence of ventricular arrhythmias between 4% and 13%.162–165 Outcomes of in-hospital cardiac arrest appear to be poor, particularly among older patients.162
Syncope and presyncope have been reported in 3.7% of patients admitted for COVID-19.166 Overall, bradyarrhythmia seems infrequent, with isolated cases of advanced AV block, particularly in patients with more advanced forms of the disease.167–170
The clinical presentation of brady- or tachyarrhythmias in the context of COVID-19 does not differ from those previously described (i.e. palpitations, dyspnoea, dizziness, chest pain, syncope). Most arrhythmias in COVID-19 can be diagnosed by a combination of clinical symptoms and signs (particularly, heart rate measurement) and the review of the ECG in case of symptoms. However, paroxysmal tachy- or bradyarrhythmias may be elusive. In these cases, longer-duration or continuous ECG monitoring may be considered.
If resources are available, a baseline ECG is recommended in any patient admitted with COVID-19, particularly those with severe manifestations or in whom QTc-prolonging drugs will be used. Preferably, this should be done using a 12-lead recording to allow adequate QTc measurements and identification of wavelet morphology,171 but single- or multi-lead ECG from telemetry or hand-held devices may suffice to minimize the HCP exposure.
Hospitalization for pneumonia and time course of increased subsequent risk of cardiovascular death
Pneumonia and severe influenza infections have been associated with a markedly increased short-term risk of MI and subsequent mortality that is more common among patients at older age, nursing home residents, and patients with histories of HF, coronary disease, hypertension, or obesity.20,172–175 Moreover, an increased rate of venous thromboembolic events has been observed in the context of COVID-19176 and several randomized trials evaluating earlier therapeutic anticoagulation treatment and prolonged thromboprophylaxis in the context of COVID-19 are currently underway.
Furthermore, for influenza epidemics, it has been demonstrated that there is a consistent rise in autopsy-confirmed coronary deaths.177 Fatal AMIs and pulmonary embolism (PE) have been observed in the short term after coronavirus-associated SARS, and a high alertness is required.178
Notably, recent data suggest that myocardial injury during COVID-19—as indicated by elevated troponin levels—represents one predictor of a higher risk of CV complications and an adverse clinical outcome.29,35,179
Electrocardiogram
So far, no specific ECG changes have been described in patients with SARS-CoV-2 infection and non-specific ST-T abnormalities are observed in up to 30% of patients with SARS-CoV-2 pneumonia.48 Although we assume that the overall minimal level of myocardial injury associated with the infection (see the following section on biomarkers) does not translate into characteristic ECG manifestations in the majority of patients, a systematic review on COVID-19 myocarditis described ST-segment abnormalities (mostly specific) in 71% of patients.180 For considerations of arrhythmia and corrected QT interval (QTc) prolongation of COVID-19 therapies, see Guidance Part 2.
Biomarkers
Biomarker elevation suggesting cardiovascular conditions in patients with COVID-19
Cardiac troponin T/I
COVID-19 is a viral pneumonia that may result in severe systemic inflammation and ARDS, and both conditions have profound effects on the heart.8,179,181 As a quantitative marker of cardiomyocyte injury, the concentrations of cardiac troponin T/I in a patient with COVID-19 should be seen as the combination of the presence/extent of pre-existing cardiac disease and/or the acute injury related to COVID-19.8,117,181–186
Cohort studies from patients hospitalized with COVID-19 have shown that 5–40% of patients had elevations >ULN in cardiac troponin T/I, and this finding was more common in patients admitted to the ICU and among those who died.34,117,179,181,187,188 Concentrations remained in the normal range in the majority of survivors. In non-survivors, troponin levels progressively increased in parallel with the severity of COVID-19 and the development of ARDS (Figure 4).8,117,179,181,188
Mild elevations in cardiac troponin T/I concentrations (e.g. <2–3 times the ULN), particularly in older patients with pre-existing cardiac disease, do not require workup or treatment for T1MI, unless the latter is strongly suggested by angina chest pain and/or ECG changes (Figure 5). Such mild elevations are in general well explained by the combination of possible pre-existing cardiac disease and/or the acute injury related to COVID-19.
In non-critically ill patients with COVID-19, mild elevations (i.e. up to three times the ULN) are in general well explained by the combination of possible prior cardiac disease and the acute cardiomyocyte injury related to COVID-19. Even higher concentrations indicate the presence of specific acute cardiac disease such as T1MI, myocarditis, or Takotsubo syndrome.
Marked elevations in cardiac troponin T/I concentrations (i.e. >5 times the ULN) may indicate the presence of shock as part of COVID-19, severe respiratory failure, tachycardia, systemic hypoxaemia, myocarditis, Takotsubo syndrome, or T1MI triggered by COVID-19.8,179,181,182 In the absence of symptoms or ECG changes suggestive of T1MI, echocardiography should be considered to assess global and regional LV function. Patients with symptoms and ECG changes suggestive of T1MI should be treated according to ESC guidelines irrespective of COVID-19 status.117,183,188,189
B-type natriuretic peptide/N-terminal pro B-type natriuretic peptide
B-type natriuretic peptide/NT-proBNP as quantitative biomarkers of haemodynamic myocardial stress and HF are frequently elevated among patients with severe inflammatory and/or respiratory illnesses.179,190–192 Experience in patients with COVID-19 is limited. Very likely, the experience from other pneumonias can be extrapolated to COVID-19.179,190–192
As quantitative markers of haemodynamic stress and HF, the concentrations of BNP/NT-proBNP in a patient with COVID-19 should be seen as the combination of the presence/extent of pre-existing cardiac disease and/or the acute haemodynamic stress related to COVID-19.179,190–192 At least to some extent, the release of BNP/NT-proBNP seems to be associated with the extent of right ventricular (RV) haemodynamic stress (Figure 6).
D-dimer
D-dimer is generated by the cleavage of fibrin monomers by prothrombin and indicates the presence of thrombin formation or reflects a non-specific acute-phase response from infection or inflammation. D-dimer may also indicate the presence of disseminated intravascular coagulation associated with shock.193 It is tempting to speculate that markers of activated coagulation or impaired fibrinolysis might contribute to acute myocardial injury, eventually also affecting coronary capillaries. Therefore, markers of haemostasis including activated partial thromboplastin time, prothrombin time, fibrin degradation products and D-dimer may be monitored routinely. In particular, elevations of D-dimer have been associated with poor outcome.194 Although the D-dimer has a lower specificity for the diagnosis of acute PE, 32–53% of patients still have a normal D-dimer and the vast majority has D-dimer below 1000 ng/mL.8,130,132 Therefore, recommended diagnostic algorithms combining pre-test probability assessments and D-dimer tests can be used in case of suspected acute PE.195 In particular, algorithms applying a pre-test probability-dependent D-dimer threshold may yield a decent specificity.196–198
Potential mechanisms underlying biomarker elevation
The potential mechanisms underlying myocardial injury in those with COVID-19 are not fully understood (Figure 7). However, in keeping with other severe inflammatory and/or respiratory illnesses, direct (‘non-coronary’) myocardial injury is most likely the cause. Myocarditis, septic shock, tachycardia, severe respiratory failure, systemic hypoxaemia, Takotsubo syndrome, or T1MI triggered by COVID-19 are alternative causes. Direct myocardial involvement mediated via ACE2, cytokine storm, or hypoxia-induced excessive intracellular calcium leading to cardiac myocyte apoptosis has been suggested as alternative mechanisms.89,199,200
As quantitative biomarkers of haemodynamic myocardial stress and HF, intracardiac filling pressures and end-diastolic wall stress seem to be the predominant triggers of the release of BNP/NT-proBNP.190–192
Which biomarkers should be measured and when?
As in patients without COVID-19, cardiac troponin T/I concentrations should be measured whenever, on clinical grounds, T1MI is suspected.183 In patients with COVID-19, diagnostic algorithms for rapid rule-out and/or rule-in of MI in patients with acute chest discomfort such as the ESC high-sensitivity cardiac troponin (hs-cTn) T/I 0/1-h algorithm can be expected to provide comparable performance characteristics as in other challenging subgroups with higher baseline concentrations such as the elderly and patients with renal dysfunction: very high safety for rule-out and high accuracy for rule-in but reduced efficacy with a higher percentage of patients remaining in the observe zone.183,201–203 Detailed clinical assessment including chest pain characteristics, assessment of COVID-19 severity, hs-cTn T/I measurement at 3 h, and cardiac imaging including echocardiography are the key elements for the identification of MI in this heterogeneous subgroup.183,201–203
Similarly, BNP/NT-proBNP should be measured whenever, on clinical grounds, HF is suspected.179,190–192 In patients who are not critically ill, rule-in cut-offs for HF maintain high positive predictive value even in patients with pneumonia.179,190–192 In contrast, currently recommended cut-offs should not be applied in critically ill patients, as most critically ill patients have substantial elevations in BNP/NT-proBNP, most likely due to the near-universal presence of haemodynamic stress and HF in these patients.179,190–192
There is increasing evidence suggesting that cardiac troponin T/I should possibly also be measured as a prognostic marker in patients with COVID-19. The strong and consistent association with mortality observed in the currently available reports of patients hospitalized with COVID-19, with evidence suggesting cardiac troponin T/I even as an independent predictor of mortality, should be seen in favour of this approach.8,29,34,179,181,187 Furthermore, a structured use of cardiac troponins to facilitate stage categorization and initial triage as well as in-hospital risk stratification, has been proposed.187 On the other hand, a more conservative approach might also be appropriate.8,117,179,181–184 First, beyond cardiac troponin T/I, other routinely available clinical and laboratory variables have also emerged as strong predictors of death in COVID-19 including older age, higher Sequential Organ Failure Assessment (SOFA) score, D-dimer, IL-6, and lymphocyte count. It is unclear whether and to what extent cardiac troponin T/I provide incremental value to a full model. Second, there is a small risk of inappropriate diagnostic and therapeutic interventions triggered based on cardiac troponin T/I concentrations measured for prognostic purposes. Third, in patients with COVID-19 as well as with other pneumonias or patients with ARDS, at this point in time, no specific therapeutic intervention can be justified based on the use of cardiac troponin T/I as a prognostic marker.8,117,179,181–184
Non-invasive imaging
Non-urgent or elective cardiac imaging should not be performed routinely in patients with suspected or confirmed COVID-19. Accordingly, non-urgent or elective examinations should be postponed until the patient is known to be free of SARS-CoV-2 infection.204,205
Transthoracic and transoesophageal echocardiography
In COVID-19-infected patients, echocardiography should focus solely on the acquisition of images needed to answer the clinical question to reduce patient contact with the machine and HCP. POCUS, FoCUS, and critical care echocardiography are probably the preferred modalities to image patients with COVID-19. Limited evidence exists for the use of lung ultrasound to differentiate ARDS (single and/or confluent vertical artefacts, small white lung regions) from HF.206 Several recent studies have shown cardiac abnormalities in a majority of patients with ongoing COVID-19.207,208 However, it should be acknowledged that the majority of the series included patients in whom the reported abnormalities could be present before infection (particularly LV diastolic dysfunction or valve abnormalities) and, therefore, the role of echocardiography to diagnose new abnormalities is uncertain. The most frequent abnormality is RV dilation. The presence of a dilated right ventricle and pulmonary hypertension indicates the need to perform contrast CT to rule out PE and to differentiate the condition from ARDS. Echocardiography may change the management in 33% of patients with COVID-19.208
It should not be forgotten that the risk of infection remains in the reading rooms and therefore the material used should also be frequently sanitized.
Computed tomography
Cardiac CT should be performed when there is a potential impact on clinical management, including evaluation of symptomatic suspected CAD, acute symptomatic heart valve dysfunction, LV assist device dysfunction, PE, and urgent structural intervention.209 Cardiac CT is preferred to TOE to rule out the presence of intracardiac thrombus. In patients with acute chest pain and suspected obstructive CAD, CCTA is the preferred non-invasive imaging modality since it is accurate and fast and minimizes the exposure of patients. In patients with respiratory distress, lung CT is recommended to evaluate imaging features typical of COVID-19 and differentiate from other causes (HF, PE).210 However, it should not be used to screen for or as a first-line test to diagnose COVID 19 and should be reserved for hospitalized patients.211 A dedicated CT scanner for patients with suspected or confirmed COVID-19 is preferred. As in other imaging modalities, local standards for prevention of virus spread and protection of personnel should be followed.
Nuclear cardiology
Many of the diagnoses can be evaluated with other imaging modalities that limit the risk of virus spread. Nuclear cardiology tests require long acquisition times and exposure of patients and personnel.212 Guidance and best practices for nuclear cardiology laboratories during the COVID-19 pandemic have been published.212 The use of PET–CT can be limited to patients with suspected endocarditis of prosthetic valves or intracardiac devices when other imaging modalities are inconclusive or to avoid the performance of a TOE which is associated with larger risk of spreading. Single photon emission computed tomography or PET may also be used for diagnosing ischaemia in patients with suspected obstructive CAD when CCTA is not appropriate or available.
Cardiac magnetic resonance
The risks of contamination during a CMR scan are probably similar to a CT scan, but lower than during an echocardiographic study. Only clinically urgent CMR scans should be accepted.213
Longer time exposure in the scanner will probably increase the chances of contamination of equipment and staff. To minimize the examination time, shortened CMR protocols focused to address the clinical problem should be used.214 A dedicated mitral regurgitation scanner for patients with suspected or confirmed COVID-19 is a clear advantage. Allow time for a deep cleaning after each patient with suspected or confirmed COVID-19.
The role of CMR in patients with COVID-19 is mainly the diagnosis of myocarditis186,215 and, in cases of MI with non-obstructive coronary arteries, to evaluate the underlying diagnosis.183 The diagnosis of myocarditis should be suspected when there are elevated troponins, ventricular dysfunction, and/or severe arrhythmias that cannot be explained by other diagnostics and imaging methods.27
A few recent studies have found a very high prevalence of myocarditis by CMR in asymptomatic patients with recovered COVID-19.186,216 However, the clinical significance of these CMR findings is currently unclear. Accepted diagnostic indications for CMR should be considered as appropriate in COVID-19 patients, and CMR should not be performed unless clinically necessary and after a reconsideration of best-suited imaging technique.205,213
Another important attention is the use of late-gadolinium enhancement in patients with COVID-19. Renal function might be decreased in patients with COVID-19 and, therefore, it should follow the same considerations as in patients without COVID-19.217
Exercise testing
Performance of exercise testing (either conventional, echocardiography, or nuclear imaging) has major limitations in the COVID-19 era. Wearing a mask may strongly affect patient exercise capacity. Moreover, during physical exercise, both breath rate and the amount of aerosol/droplets production are increased, even when wearing a surgical mask. This problem is further amplified since rooms of outpatient clinics are rarely large and well aerated. Thus, performance of exercise testing in COVID-19 suspect or positive patients should be avoided to prevent virus spread and protect personnel. In general, exercise tests should be deferred in every patient in COVID-19 epidemic areas and alternative diagnostic methods should be preferred whenever possible. In patients with suspected CAD and stable angina symptoms, a CCTA should be preferred with exercise testing when patients’ characteristics do not limit image quality. When functional imaging for myocardial ischaemia is necessary, pharmacological stress testing (e.g. vasodilatation using adenosine or regadenoson) should be preferred.218 If CAD is highly likely and patients present with typical angina or severe symptoms refractory to medical therapy, invasive coronary, angiography may be the first choice.
However, there are conditions where exercise testing is necessary, such as for the functional evaluation of patients with HF. Namely, cardiopulmonary exercise testing is of primary importance in the staging of patients with advanced HF. Peak exercise oxygen uptake (peak VO2) and minute ventilation/carbon dioxide relationship slope (VE/VCO2 slope) are prognostic and can guide the decision of advanced therapies, including heart transplantation.219 In such patients, the exercise test cannot be delayed. In addition, exercise testing is proposed as the method of choice for the diagnosis of heart failure with preserved ejection fraction (HFpEF) in patients with breathlessness and intermediate scores for HFpEF diagnosis. A low-level exercise may be sufficient in these cases.220
When exercise testing is necessary, prior screening for the symptoms of active SARS-CoV-2 infection (e.g. cough, sore throat, fever, loss of sense of smell and taste) is recommended. Furthermore, SARS-CoV-2 infection should be ruled out by nasopharyngeal swab prior to exercise testing.221 Single-patient use equipment should be preferred, including face masks and disposable parts such as mouth pieces, and nose clips. Filtration devices within mask/mouthpiece apparatus may be considered. Since the risk of virus transmissions increases with aerosolizing tests, the personal protective equipment requirements must be appropriate. Negative-pressure rooms should be preferred when available.222 A sufficient time should be allowed for air changes before cleaning the room and between different patients.223
Differential diagnosis
In COVID-19 patients with clinical presentation compatible with CVD, three main entities should be considered:
Patients with COVID-19 can present with cardiac events that can be favoured by the infection or unrelated. Those include ACS, acute HF, arrhythmias, venous thromboembolic events, CS, and cardiac arrest. Those syndromes require a quick diagnosis and management, and should not be overlooked due to the presence of COVID-19.
Infection-related cardiac injury can also lead to a clinical presentation suggestive of cardiac event, and should also be considered as a differential diagnosis.
Patients with COVID-19 can present with symptoms mimicking CV events, including chest pain, dyspnoea, and shock, even in the absence of cardiac injury.
Corresponding authors. Tel: +44 1865 743743, Fax: +44 1865 743985, Email: colin.baigent@ndph.ox.ac.uk (C.B.); Tel: +41 31 632 21 11, Fax: +41 31 632 47 70, Email: stephan.windecker@insel.ch (S.W.)
Acknowledgements
The following people reviewed the document: Victor Aboyans (France), Stefan D. Anker (Germany), Robert A. Byrne (Ireland), A. John Camm (Italy), Andrew J.S. Coats (Italy), Rudolf A. de Boer (The Netherlands), Stefanie Dimmeler (Germany), Donna Fitzimons (UK), Christoph Gräni (Switzerland), Christian Hamm (Germany), Richard Haynes (UK), Bernard Iung (France), Adnan Kastrati (Germany), Patrizio Lancellotti (Belgium), Julinda Mehilli (Germany), Béla Merkely (Hungary), Lis Neubeck (UK), Katja E. Odening (Switzerland), Raffaele Piccolo (Italy), Lorenz Räber (Switzerland), Tobias Reichlin (Switzerland), Manel Sabate (Spain), P. Christian Schulze (Germany), Iain A. Simpson (UK), Lars Sondergaard (Denmark), Miguel Sousa-Uva (Portugal), Stefan Stortecky (Switzerland), Didier Tchétché (France), and Katja Zeppenfeld (The Netherlands). Support for title page creation and format was provided by AuthorArranger, a tool developed at the National Cancer Institute. Matthieu Depuydt (European Society of Cardiology) coordinated the development of the manuscript.
Conflict of interest: C.B. reports grants or contracts as follow: Medical Research Council: Population Health Research Unit (Director) 2019–24; Medical Research Council: PHRU capital award 2019–20; Medical Research Council: Therapy Acceleration Laboratory Award 2021; BHF: Project Grant no. PG/18/16/33570 Cholesterol Treatment Trialists’ (CTT) Collaboration: Meta-analyses of individual participant adverse event data from randomized controlled trials of statin therapy (co-applicant) 2018–20; Boehringer Ingelheim: EMPA-KIDNEY trial (study co-chair) 2018–22; NIHR HTA 17/140/02: Cost-effectiveness of statin therapies evaluated using individual participant data from large randomized clinical trials (co-applicant) 2018–22. C.B. reports unpaid roles as chair of the European Society of Cardiology Clinical Practice Guidelines Committee and as vice-chair of the British Heart Foundation Clinical Studies Committee. S.W. reports research and educational grants via his institution from Abbott, Amgen, Astra Zeneca, BMS, Bayer, Biotronik, Boston Scientific, Cardinal Health, CardioValve, CSL Behring, Daiichi Sankyo, Edwards Lifesciences, Guerbet, InfraRedx, Johnson & Johnson, Medicure, Novartis, Polares, OrPha Suisse, Pfizer, Regeneron, Sanofi Aventis, Sinomed, Terumo, and V-Wave. S.W. is an unpaid member of the Pfizer Research Award selection committee in Switzerland and of the Women as One Awards Committee. He is a member of the Clinical Study Group of the Deutsches Zentrum für Herz Kreislauf-Forschung and of the Advisory Board of the Australian Victorian Heart Institute. He is a chairperson of the ESC Congress Program Committee and a former chairperson of the ESC Clinical Practice Guidelines Committee. S.W. serves as unpaid advisory board member and/or unpaid member of the steering/executive group of trials funded by Abbott, Abiomed, Amgen, Astra Zeneca, Bayer, BMS, Boston Scientific, Biotronik, Cardiovalve, Edwards Lifesciences, MedAlliance, Medtronic, Novartis, Polares, Sinomed, V-Wave, and Xeltis but has not received personal payments by pharmaceutical companies or device manufacturers. He is also member of the steering/executive committee group of several investigator-initiated trials that receive funding by industry without impact on his personal remuneration. E.A. reports honoraria for lectures from Biosense Webster. D.C. reports personal consulting fees from Amgen, AstraZeneca, Bayer, Boehringer Ingelheim, and Daiichi Sankyo. J-P.C. reports grants or contracts from Medtronic, BMS-Pfizer for the ATLANTIS trial; payment or honoraria for lectures, presentations, speakers’ bureaus, manuscript writing, or educational events from BMS-Pfizer, Webmed, AstraZeneca, and Sanofi. T.C. reports consulting fees from Boston Scientific, Medtronic, and Edwards; payment or honoraria for lectures, presentations, speakers’ bureaus, manuscript writing, or educational events from Boston Scientific, Medtronic, and Edwards; and participation on a Data Safety Monitoring Board or Advisory Board for CERC. J.R.G.-J. payment or honoraria for lectures, presentations, speakers’ bureaus, manuscript writing, or educational events from Amgen, AstraZeneca, Bayer, Boehringer Ingelheim, Daiichi Sankyo, Eli Lilly, Ferrer International, Menarini, MSD, Novartis, Novo Nordisk, Pfizer, Sanofi Aventis, and Servier, outside the submitted work. T.J.G. is the editor-in-chief from the Cardiovascular Research journal. T.J.G. reports speaker fees from Merck and participation to the steering committee of the COMPASS trial from the Public Health Research Institute. H.H. reports unconditional Research Grants for the University of Antwerp and/or University of Hasselt from Bracco Imaging Europe; Daiichi Sankyo, Boehringer Ingelheim, Abbott, Medtronic, Biotronik, St. Jude Medical, and Fibricheck/Qompium. As EHRA president 2018–2020, H.H. reports no personal honorarium for any industry-related speaker or advisory role between March 2017 and September 2020. After September 2020, H.H. reports payment or honoraria for lectures, presentations, speakers’ bureaus, manuscript writing, or educational events. B.I. reports other financial or non-financial interests as leader for a small single-centre phase 2 RCT testing the benefits of i.v. metoprolol in critically ill COVID19 patients. Funds from his laboratory were used and there was no relationship with any third party. Metoprolol is not approved for ARDS (COVID related or non-COVID related) and thus this trial was an initial step for its repurposing. Metoprolol is out of patent and has no commercial interest. F.A.K. reports research grants via his institution from Bayer, Bristol Myers Squibb, Boehringer Ingelheim, MSD, Daiichi Sankyo, Actelion, the Dutch thrombosis association, The Netherlands Organisation for Health Research and Development, and the Dutch Heart foundation, all outside the current work. F.K. is a member of the Dutch guideline committee on antithrombotic therapy, and the ASH guideline on thromboprophylaxis in COVID-19 patients. F.K. is a member of the nucleus of the ESC Working Group on RV function and pulmonary circulation. S.V.K. reports grants or contracts via his institution from Bayer AG, Boston Scientific, Servier, Actelion-Janssen, and Daiichi Sankyo; consulting fees from Bayer AG, Pfizer–Bristol Myers Squibb, Daiichi Sankyo, and Boston Scientific; payment or honoraria for lectures, presentations from Bayer AG, Pfizer–Bristol Myers Squibb, Daiichi Sankyo Boston Scientific, and MSD Novartis. U.L. reports grants or contracts from Bayer, Novartis, and Amgen; consulting fees from Bayer, Novartis, Amgen, Sanofi, and Pfizer; and payment or honoraria for lectures, presentations, speakers’ bureaus, manuscript writing, or educational events from Bayer, Novartis, Amgen, Sanofi, and Pfizer. C.L. reports grants or contracts from Biotronik, Medtronic, Boston Scientific, Microport, and Abbott and support for attending meetings and/or travel from Biotronik, Medtronic, Boston Scientific, Microport, and Abbott. M.L. reports honoraria for the role of faculty member of two webinars on COVID-19 from a private society committed to educational initiatives and the Italian Association of Hospital Cardiologists. N.M. reports a research grant from Getinge Global US and payment or honoraria for lectures, presentations, speakers’ bureaus, manuscript writing, or educational events from Bristol Myers Squibb. C.M. reports research support payments via his institution from Research support from several diagnostic companies, the Swiss National Science Foundation, and the Swiss Heart Foundation; consulting fees from Idorsia; and payment via his institution for his participation on a Data Safety Monitoring Board or Advisory Board from Roche and from Osler. A.S.P reports consulting and proctoring payment via her institution from Medtronic; consulting and proctoring payment from Boston Scientific; payment or honoraria for lectures, presentations, speakers’ bureaus, manuscript writing or educational events from Medtronic, Abbott, and Boston Scientific; payment for expert testimony via her institution from Medtronic, Boston Scientific, and Abbott; and participation to the steering committee for the ongoing SMART trial. F.P. reports travel expenses from Abbott Vascular, Edwards Lifesciences, and Polares Medical. P.P. reports direct consulting fees from Boehringer Ingelheim, Pfizer, and Bayer AG; direct honoraria for lectures from Bayer AG, Bristol Myers Squibb, Boehringer Ingelheim, Pfizer, Sanofi, Roche, and Boston Scientific. M.R. reports research grant via his institution from Medtronic, Boston Scientific, Terumo, Biotronik, and GE Healthcare. S.R. reports research grant via his institution from Actelion, AstraZeneca, Bayer, Janssen, and Novartis; remunerations for lectures from Abbott, Acceleron, Actelion, Arena, Bayer, Ferrer, Janssen, MSD, Novartis, Pfizer, United Therapeutics, and Vifor. G.S. reports research grant via his institution from Boston Scientific; speaker fees from Abbott Vascular and Boston Scientific. H.T. is the president-elect of the German Cardiac Society and is chair of the 2020 ESC NSTE-ACS Guideline. B.W. reports lecture fees for symposia on hypertension, unrelated to the content of those manuscripts from Pfizer, Boehringer, Servier, and Daiichi Sankyo; travel/accommodation fees to conference from Pfizer, Boehringer, Servier, and Daiichi Sankyo. B.W. is the chair of the most recent 2018 ESC-ESH Hypertension Guideline. All other authors declared no conflict of interest.
Data availability
No new data were generated or analysed in support of this research.
Appendix
The Task Force for the management of COVID-19 of the European Society of Cardiology (ESC)
Writing Committee: Colin Baigent* (MRC Population Health Research Unit, Nuffield Department of Population Health, Oxford, UK); Stephan Windecker* (Department of Cardiology, Inselspital, Bern University Hospital, Bern, Switzerland); Daniele Andreini (Centro Cardiologico Monzino, IRCCS, Milan, Italy and Department of Clinical Sciences and Community Health, Cardiovascular Section, University of Milan, Milan, Italy); Elena Arbelo (Arrhythmia Section, Cardiology Department, Hospital Clínic, Universitat de Barcelona, Barcelona, Spain and Institut d’Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain and Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain and ECGen, the Cardiogenetics Focus Group of EHRA); Emanuele Barbato (Department of Advanced Biomedical Sciences, Federico II University, Naples, Italy and Cardiovascular Center Aalst, OLV Hospital, Aalst, Belgium); Antonio L. Bartorelli (Centro Cardiologico Monzino, IRCCS, Milan, Italy and Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy and Department of Biomedical and Clinical Sciences “Luigi Sacco”, University of Milan, Milan, Italy); Andreas Baumbach (Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University of London and Barts Heart Centre, London, UK and Yale University School of Medicine, New Haven, CT, USA); Elijah R. Behr (ECGen, the Cardiogenetics Focus Group of EHRA, Cardiology Clinical Academic Group, Institute of Molecular and Clinical Sciences, St George’s, University of London, London, UK and St George’s University Hospitals NHS Foundation Trust, London, UK and European Reference Network for Rare and Low Prevalence Complex Diseases of the Heart (ERN GUARDHEART; http://guardheart.ern-net.eu); Sergio Berti (U.O.C. Cardiologia Diagnostica e Interventistica, Dipartimento Cardiotoracico, Fondazione Toscana G. Monasterio – Ospedale del Cuore G. Pasquinucci, Massa, Italy); Héctor Bueno (Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain and Cardiology Department, Hospital Universitario 12 de Octubre and Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain and Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain); Davide Capodanno (Division of Cardiology, A.O.U. Policlinico “G. Rodolico-San Marco” University of Catania, Catania, Italy); Riccardo Cappato (Arrhythmia & Electrophysiology Center, IRCCS Gruppo MultiMedica, Sesto San Giovanni, Milan, Italy); Alaide Chieffo (San Raffaele Scientific Institute, Milan, Italy); Jean-Philippe Collet (Sorbonne Université, ACTION study group, Institut de Cardiologie, Pitié Salpêtrière Hospital (AP-HP), Paris, France); Thomas Cuisset (Département de Cardiologie, CHU Timone, Marseille, France and INSERM, UMR1062, Nutrition, Obesity and Risk of Thrombosis, Marseille, France and Faculté de Médecine, Aix-Marseille Université, Marseille, France); Giovanni de Simone (Department of Advanced Biomedical Sciences, Federico II University, Naples, Italy and Hypertension Research Center, Federico II University Hospital, Naples, Italy); Victoria Delgado (Heart Lung Centrum, Leiden University Medical Center, Leiden, The Netherlands); Paul Dendale (Heart Centre Hasselt, Jessa Hospital, Hasselt, Belgium and Faculty of Medicine and Life Sciences, Uhasselt, Diepenbeek, Belgium); Dariusz Dudek (Institute of Cardiology, Jagiellonian University Medical College, Kraków, Poland and Maria Cecilia Hospital, GVM Care&Research, Cotignola (RA), Ravenna, Italy); Thor Edvardsen (Department of Cardiology Oslo University Hospital, Rikshospitalet, Oslo, Norway); Arif Elvan (Isala Heart Center, Zwolle, The Netherlands); José R. González-Juanatey (Cardiology Department, University Hospital, IDIS, CIBERCV, University of Santiago de Compostela, Santiago de Compostela, Spain); Mauro Gori (Cardiovascular Department & Cardiology Unit, Papa Giovanni XXIII Hospital-Bergamo, Bergamo, Italy); Diederick Grobbee (Julius Global Health, the Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands); Tomasz J. Guzik (Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK and Department of Medicine, Jagiellonian University College of Medicine, Kraków, Poland); Sigrun Halvorsen (Department of Cardiology, Oslo University Hospital Ulleval, Oslo, Norway and University of Oslo, Oslo, Norway); Michael Haude (Medical Clinic I, Städtische Kliniken Neuss, Lukaskrankenhaus GmbH, Neuss, Germany); Hein Heidbuchel (Department of Cardiology, University Hospital Antwerp and University of Antwerp, Antwerp, Belgium); Gerhard Hindricks (Department of Internal Medicine/Cardiology/Electrophysiology, Heart Center Leipzig, University Hospital Leipzig, Leipzig, Germany and Leipzig Heart Institute (LHI), Leipzig, Germany); Borja Ibanez (Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain and Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain and IIS-Fundación Jiménez Díaz Hospital, Madrid, Spain); Nicole Karam (Université de Paris, PARCC, INSERM, Paris, France and European Hospital Georges Pompidou, Paris, France); Hugo Katus (Department of Internal Medicine, University Hospital of Heidelberg, Heidelberg, Germany); Fredrikus A. Klok (Department of Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, The Netherlands); Stavros V. Konstantinides (Center for Thrombosis and Hemostasis, Johannes Gutenberg University Mainz, Mainz, Germany and Department of Cardiology, Democritus University of Thrace, Alexandroupolis, Greece); Ulf Landmesser (Department of Cardiology, Charite University Medicine Berlin, Berlin, Germany and Berlin Institute of Health (BIH), German Center of Cardiovascular Research (DZHK), Partner Site Berlin, Berlin, Germany); Christophe Leclercq (University of Rennes, CHU Rennes, INSERM, LTSI – UMR 1099, Rennes, France); Sergio Leonardi (University of Pavia, Pavia, Italy and Fondazione IRCCS Policlinico S.Matteo, Pavia, Italy); Maddalena Lettino (Cardio-Thoracic and Vascular Department, San Gerardo Hospital, ASST-Monza, Monza, Italy); Giancarlo Marenzi (Centro Cardiologico Monzino, IRCCS, Milan, Italy); Josepa Mauri (Institut del Cor, Hospital Universitari Germans Trias i Pujol, Badalona, Spain and Health Department of the Government of Catalonia, Barcelona, Spain); Marco Metra (Institute of Cardiology, ASST Spedali Civili di Brescia; Department of Medical and Surgical Specialities, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy); Nuccia Morici (Unità di Cure Intensive Cardiologiche e De Gasperis Cardio Center, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy and Dipartimento di Scienze Cliniche e di Comunità, Università degli Studi, Milan, Italy); Christian Mueller (Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, Basel, Switzerland and University of Basel, Basel, Switzerland); Anna Sonia Petronio (Cardiothoracic and Vascular Department, University of Pisa, Ospedale cisanello, Pisa, Italy); Marija M. Polovina (Faculty of Medicine, Belgrade University, Belgrade, Serbia and Department of Cardiology, Clinical Centre of Serbia, Belgrade, Serbia); Tatjana Potpara (School of Medicine, University of Belgrade, Belgrade, Serbia and Department for Intensive Arrhythmia Care, Cardiology Clinic, Clinical Centre of Serbia, Belgrade, Serbia); Fabien Praz (Department of Cardiology, University Hospital Bern, Bern, Switzerland); Bernard Prendergast (St Thomas' Hospital and Cleveland Clinic London, London, UK); Eva Prescott (Department of Cardiology, Bispebjerg University Hospital, Copenhagen, Denmark); Susanna Price (Royal Brompton Hospital, London, UK and National Heart & Lung Institute, Imperial College, London, UK); Piotr Pruszczyk (Department of Internal Medicine & Cardiology, Medical University of Warsaw, Warsaw, Poland); Oriol Rodríguez-Leor (Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain and Institut del Cor, Hospital Universitari Germans Trias i Pujol, Badalona, Spain); Marco Roffi (Department of Cardiology, Geneva University Hospitals, Geneva, Switzerland); Rafael Romaguera (Servicio de Cardiología, Hospital Universitario de Bellvitge-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain); Stephan Rosenkranz (Clinic III for Internal Medicine (Cardiology) and Cologne Cardiovascular Research Center (CCRC), Heart Center at the University of Cologne, Cologne, Germany and Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany); Andrea Sarkozy (Department of Cardiology, University Hospital Antwerp and University of Antwerp, Antwerp, Belgium); Martijn Scherrenberg (Heart Centre Hasselt, Jessa Hospital, Hasselt, Belgium and Faculty of Medicine and Life Sciences, Uhasselt, Diepenbeek, Belgium); Petar Seferovic (Faculty of Medicine, Belgrade University, Belgrade, Serbia and Serbian Academy of Sciences and Arts, Belgrade, Serbia); Michele Senni (Cardiovascular Department & Cardiology Unit, Papa Giovanni XXIII Hospital-Bergamo, Bergamo, Italy); Francesco R. Spera (Department of Cardiology, University Hospital Antwerp and University of Antwerp, Antwerp, Belgium); Giulio Stefanini (Department of Biomedical Sciences, Humanitas University, Pieve Emanuele – Milan, Italy and Humanitas Research Hospital IRCCS, Rozzano – Milan, Italy); Holger Thiele (Leipzig Heart Institute (LHI), Leipzig, Germany and Department of Internal Medicine/Cardiology, Heart Center Leipzig at University of Leipzig, Leipzig, Germany); Daniela Tomasoni (Institute of Cardiology, ASST Spedali Civili di Brescia; Department of Medical and Surgical Specialities, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy); Lucia Torracca (Department of Biomedical Sciences, Humanitas University, Pieve Emanuele – Milan, Italy and Humanitas Research Hospital IRCCS, Rozzano – Milan, Italy); Rhian M. Touyz (Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK); Arthur A. Wilde (ECGen, the Cardiogenetics Focus Group of EHRA and European Reference Network for Rare and Low Prevalence Complex Diseases of the Heart (ERN GUARDHEART; http://guardheart.ern-net.eu) and Amsterdam UMC, University of Amsterdam, Heart Center; department of Clinical Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands); Bryan Williams (Institute of Cardiovascular Sciences, University College London, London, UK).
*Joint corresponding authors. Email: colin.baigent@ndph.ox.ac.uk (C.B.); stephan.windecker@insel.ch (S.W.)
References