| Literature DB >> 32534109 |
Charalampos Lazaridis1, Nikolaos I Vlachogiannis2, Constantinos Bakogiannis3, Ioakim Spyridopoulos4, Kimon Stamatelopoulos5, Ioannis Kanakakis6, Vassilios Vassilikos3, Konstantinos Stellos7.
Abstract
The novel coronavirus disease 2019 (COVID-19) pandemic has already caused more than 300,000 deaths worldwide. Several studies have elucidated the central role of cardiovascular complications in the disease course. Herein, we provide a concise review of current knowledge regarding the involvement of cardiovascular system in the pathogenesis and prognosis of COVID-19. We summarize data from 21 studies involving in total more than 21,000 patients from Asia, Europe, and the USA indicating that severe disease is associated with the presence of myocardial injury, heart failure, and arrhythmias. Additionally, we present the clinical and laboratory differences between recovered and deceased patients highlighting the importance of cardiac manifestations. For the infected patients, underlying cardiovascular comorbidities and particularly existing cardiovascular disease seem to predispose to the development of cardiovascular complications, which are in turn associated with higher mortality rates. We provide mechanistic insights into the underlying mechanisms including direct myocardial damage by the virus and the consequences of the hyperinflammatory syndrome developed later in the disease course. Finally, we summarize current knowledge on therapeutic modalities and recommendations by scientific societies and experts regarding the cardiovascular management of patients with COVID-19.Entities:
Keywords: COVID-19; Cardiovascular comorbidities; Cardiovascular complications; Pandemic; SARS-CoV-2
Mesh:
Year: 2020 PMID: 32534109 PMCID: PMC7286275 DOI: 10.1016/j.hjc.2020.05.004
Source DB: PubMed Journal: Hellenic J Cardiol ISSN: 1109-9666
Figure 3Comparative analysis of myocardial injury frequency between total and severe patients with COVID-19. The number of patients included in the whole cohort vs. severe cases in the depicted cohort studies (n whole cohort/severe cases): Huan et al. 41/13, Wang et al. 138/36, Shi et al. 416/97, Guo et al. 187/46, Wei et al. 101/37, Guan et al. 1099/173, Zhang et al. 140/58, Wu et al. 201/84, Guan et al. 1590/254, Huang et al. 221/25, and Goyal et al. 393/130. Bar graphs represent: (A) the percentage of patients who developed myocardial injury, (B) median age of patients, (C) the percentage of patients with arterial hypertension, (D) the percentage of patients with DM and (E) the percentage of patients with preexisting CVD in the whole cohort (black) and among the severe COVID-19 cases (red) per study. DM: diabetes mellitus and CVD: cardiovascular disease.
Figure 4Comparative analysis of myocardial injury frequency between recovered and deceased patients with COVID-19. The number of recovered patients vs. deceased patients in the depicted cohort studies (n recovered patients/deceased patients): Yang et al. 20/32, Zhou et al. 37/54, Shi et al. 40/57, Chen et al. 161/113, Ruan et al. 82/68, Mehra et al. 8395/515, and Shi et al. 609/62. Bar graphs represent: (A) the percentage of patients who developed myocardial injury, (B) the median (Zhou, Ruan, Chen, and Shi) or mean (Yang and Mehra) age of patients, (C) the percentage of patients with arterial hypertension, (D) the percentage of patients with DM, and (E) the percentage of patients with preexisting CVD in recovered (green) and deceased patients with COVID-19 (red) per study. DM: diabetes mellitus and CVD: cardiovascular disease.
Frequency of cardiovascular comorbidities, preexisting cardiovascular disease, and cardiovascular complications in patients with COVID-19
| n | Median age, years | CV comorbidities | Pre existing CVD | CV complications | |||||
|---|---|---|---|---|---|---|---|---|---|
| Current smoker | HTN | DM | CVD | Myocardial injury | HF | Arrhythmia | |||
| Guan | 1099 | 47 | 12.6 | 15.0 | 7.4 | 2.5 | N/A | N/A | N/A |
| Huan | 41 | 49 | 7.3 | 14.6 | 19.5 | 14.6 | 12.2 | N/A | N/A |
| Wang | 138 | 56 | N/A | 31.2 | 10.1 | 14.5 | 7.2 | N/A | 16.7 |
| Zhang | 140 | 57 | 1.4 | 30.0 | 12.1 | 5.0D | N/A | N/A | N/A |
| Wu | 201 | 51 | N/A | 19.4 | 10.9 | 4.0 | 4.5 | N/A | N/A |
| Guan | 1590 | 48.9A | 7.0B | 16.9 | 8.2 | 3.7 | N/A | N/A | N/A |
| Huang | 221 | 45 | 7.7C | 14.5 | 9.5 | 2.3 | 1.7 | N/A | N/A |
| Xu | 90 | 50 | N/A | 18.9 | 5.6 | 3.3 | N/A | N/A | N/A |
| Zhou | 191 | 56 | 5.8 | 30.4 | 18.8 | 7.9D | 17.3 | 23.0 | N/A |
| Ruan | 150 | N/A | N/A | 34.7 | 16.7 | 8.7 | N/A | N/A | N/A |
| Shi | 416 | 64 | N/A | 30.5 | 14.4 | 10.6D | 19.7 | N/A | N/A |
| Guo | 187 | 58.5A | 9.6 | 32.6 | 15.0 | 11.2D | 27.8 | N/A | 5.9 |
| Chen | 274 | 62 | 4.4 | 33.9 | 17.2 | 8.4 | 43.8 | 24.4 | N/A |
| Mehra | 8910 | 49A | 5.5 | 26.3 | 14.3 | 11.3D | N/A | N/A | N/A |
| Goyal | 393 | 62.2 | 5.1 | 50.1 | 25.2 | 13.7D | N/A | N/A | 7.4 |
| Lechien | 1420H | 39.2A | 14.3 | 9.2 | 1.7 | 1.8 | N/A | N/A | N/A |
| Wei | 101 | 49 | 7.9 | 20.1 | 13.9 | 5.0D | 15.8 | N/A | N/A |
| Richardson | 5700 | 63 | N/A | 56.6 | 33.8 | 11.1D | N/A | N/A | N/A |
| Shi | 671 | 63 | N/A | 29.7 | 14.5 | 8.9D | N/A | N/A | N/A |
CV: cardiovascular, CVD: cardiovascular disease, DM: diabetes mellitus, HF: heart failure, HTN: hypertension, n: total patients, and N/A: not applicable. A Mean age, B Former and current smoker, C Smoking history, D Coronary artery disease, E Chronic heart failure, F Congestive heart failure, G Arrhythmia, and H Only patients with mild-to-moderate COVID-19 included.
Frequency of cardiovascular comorbidities, preexisting cardiovascular disease, and cardiovascular complications in patients who died due to COVID-19
| n | Median age, years | CV comorbidities | Pre existing CVD | CV complications | |||||
|---|---|---|---|---|---|---|---|---|---|
| Current smoker | HTN | DM | CVD | Myocardial injury | HF | Arrhythmia | |||
| Guan | 50 | N/A | N/A | 56.0 | 26.0 | 16.0 | N/A | N/A | N/A |
| Yang | 32A | 64.6B | 0 | N/A | 21.9 | 9.4 | 28.1 | N/A | N/A |
| Zhou | 54 | 69 | 9.3 | 48.1 | 31.5 | 24.1C | 59.3 | 51.9 | N/A |
| Ruan | 68 | 67 | N/A | 42.6 | 17.6 | 19.1 | N/A | N/A | N/A |
| Shi | 57 | N/A | N/A | N/A | N/A | N/A | 73.7 | N/A | N/A |
| Guo | 43 | N/A | N/A | N/A | N/A | N/A | 72.1 | N/A | N/A |
| Chen | 113 | 68 | 6.2 | 47.8 | 21.2 | 14.2 | 76.6 | 49.4 | N/A |
| Mehra | 515 | 55.8B | 8.9 | 25.2 | 18.8 | 20.0C | N/A | N/A | N/A |
| Shi | 62 | 74 | N/A | 59.7 | 27.4 | 33.9C | 30.6 | 19.4 | N/A |
CV: cardiovascular, CVD: cardiovascular disease, DM: diabetes mellitus, HF: heart failure, HTN: hypertension, n: total deceased patients, N/A: not applicable.
A Only critically ill patients with COVID-19 were included in the study, B Mean age, C Coronary artery disease, D Congestive heart failure, E Arrhythmia, F Chronic heart failure.
Figure 1Clinical manifestations of cardiovascular disease after infection with SARS-CoV-2. (1) High ACE2 expression is detected in cardiac and vascular tissue and may therefore facilitate cellular entry of SARS-CoV-2 resulting in myocardial and vascular damage. (2) An aberrant T-cell and monocyte activation has been observed in patients with COVID-19 leading to a systemic hyperinflammatory response. Increased circulating proinflammatory cytokines may result in inflammatory cardiomyopathy or atherothrombosis, causing an acute coronary syndrome. Systemic inflammatory response can also activate the microvascular endothelium, provoking the dysfunction of the coronary microvasculature, and consequently resulting in myocardial ischemia and myocardial injury. (3) Decreased myocardial oxygen supply, due to severe COVID-19 respiratory complications and hypoxia, along with increased myocardial oxygen demand, mainly due to high systemic metabolic needs, can provoke myocardial injury and type 2 myocardial infarction. (4) The binding of SARS-CoV-2 to ACE2 is expected to lead to the internalization of ACE2 and loss of the external ACE2 catalytic effect. Therefore, the possible downregulation of ACE2 and the subsequent decrease of angiotensin 1-7 in patients with COVID-19 may also compromise heart function. This figure was created using Servier Medical Art templates, which are licensed under a Creative Commons Attribution 3.0 Unported License; https://smart.servier.com. ACE2: angiotensin-converting enzyme 2, MI: myocardial infarction, and SARS-CoV-2: severe acute respiratory syndrome coronavirus 2.
Clinical relevance of cardiovascular and circulatory cells in patients with COVID-19 and potential underlying mechanisms leading to cardiovascular disease.
| Contributing cells | Clinical relevance | Potential underlying mechanisms leading to CVD |
|---|---|---|
| Cardiomyocytes | Wide expression of ACE2 | SARS-CoV-2 uses ACE2 as a cell receptor → direct myocardial damage |
| Cardiac pericytes | High ACE2 expression | SARS-CoV-2 uses ACE2 as a cell receptor → pericyte is a potential host cell targeted by SARS-CoV-2 in cardiac tissue capillary → capillary endothelial cells dysfunction → coronary microvascular dysfunction |
| Endothelial cells | Evidence of direct SARS-CoV-2 infection of the endothelial cells and diffuse endothelial inflammation | Increased ACE2 expression by endothelial cells and evidence of direct viral infection of vascular organoids |
| Lymphocytes | ↓ in all cases, especially in severe disease | ↓ in the number of lymphocytes and NK cells due to functional exhaustion and apoptosis → decreased viral clearance → direct viral infection of cardiomyocytes, cardiac pericytes, and endothelial cells |
| CD4+ T cells | ↓ in severe disease | Apoptosis of plaque infiltrating lymphocytes → plaque destabilization |
| CD8+ T cells | ↓ in severe disease | CD4+ T cells infiltration of myocardium → inflammatory cardiomyopathy |
| NK cells | ↓ in all cases | ↑ in the number of neutrophils → neutrophil plugging → epicardial and/or microvascular obstruction |
| Neutrophils | ↑ in severe disease | |
| Platelets | ↓ in severe disease | |
ACE2: angiotensin-converting enzyme 2, COVID-19: coronavirus disease 2019, CV: cardiovascular.
CVD: cardiovascular disease, NK: natural killer, and SARS-CoV-2: severe acute respiratory syndrome coronavirus 2.
Clinical value of cardiovascular and inflammatory biomarkers in patients with COVID-19
| Cardiovascular biomarkers | Clinical relevance |
|---|---|
| Troponin | ↑ in severe COVID-19 as compared to nonsevere COVID-19 |
The median value of high-sensitivity troponin I was increased >2-fold in 36 patients who required ICU as compared to 102 patients who did not require ICU care | |
| ↑ in deceased patients compared to discharged patients | |
The median value of high-sensitivity cardiac troponin I was increased >7-fold in 54 deceased patients with COVID-19 as compared to 137 discharged patients | |
The median value of high-sensitivity cardiac troponin I was increased >10-fold in 68 deceased patients with COVID-19 as compared to 82 discharged patients | |
| NT-proBNP | ↑ in severe COVID-19 as compared to mild COVID-19 |
The median value of NT-proBNP was increased >2-fold in 60 patients with severe COVID-19 as compared to 198 patients with mild COVID-19 | |
| ↑ in deceased patients as compared to discharged patients | |
The median value of NT-proBNP was increased >10-fold in 80 deceased patients with COVID-19 as compared to 93 recovered patients | |
Elevated NT-proBNP (≥285 pg/mL) were reported in 85% (68/80) of the deceased patients with COVID-19 as compared to 18% (17/93) of the recovered patients | |
An NT-proBNP increase of 100 pg/mL was associated with 1.37-fold risk of in-hospital death according to univariate Cox proportional hazards regression analysis of 54 patients with severe COVID-19 | |
| D-Dimer | ↑ in severe COVID-19 as compared to nonsevere COVID-19 |
Elevated D-Dimers (>0.243 μg/mL) were reported in 61% (23/38) of the severe COVID-19 cases as compared to 28% (12/43) of the nonsevere COVID-19 cases | |
| ↑ in patients with ARDS as compared to patients without ARDS | |
The median value of D-Dimer was increased >2-fold in 84 patients with COVID-19 who developed ARDS as compared to 117 patients who did not develop ARDS | |
| ↑ in deceased patients as compared to recovered patients | |
The median value of D-Dimer was increased >8-fold in 54 deceased patients with COVID-19 as compared to 137 discharged patients | |
| CRP | ↑ in severe COVID-19 as compared to nonsevere COVID-19 |
➢The median value of CRP was increased 1.66-fold in 55 patients with severe COVID-19 as compared to 81 patients with nonsevere COVID-19 | |
| ↑ in deceased patients as compared to discharged patients | |
The median value of CRP was increased >3-fold in 68 deceased patients as compared to 82 discharged patients | |
CRP>100 mg/L was reported in 60% (59/98) of the deceased patients as compared to 14% (21/145) of the recovered patients | |
| IL-6 | ↑ in severe COVID-19 compared to nonsevere COVID-19 |
The median value of IL-6 was increased ≈3-fold in 85 patients with refractory COVID-19 as compared to 70 patients with nonrefractory COVID-19 | |
| ↑ in deceased patients as compared to discharged patients | |
The median value of IL-6 was increased ≈2-fold in 68 deceased patients compared to 82 discharged patients | |
| Procalcitonin | ↑ in severe COVID-19 as compared to nonsevere COVID-19 |
The median value of procalcitonin was increased ≈2-fold in 50 patients with severe COVID-19 as compared to 68 patients with nonsevere COVID-19 | |
| ↑ in patients who required ICU care as compared to no ICU care | |
Procalcitonin ≥0.1 ng/mL was reported in 50% (6/12) of the patients who required ICU care as compared to 22% (6/27) of the patients who did not require ICU care | |
| Neutrophil-to-lymphocyte ratio (NLR) | 8% higher risk of in-hospital mortality for each unit increase in NLR, as estimated in an analysis of 245 patients with COVID-19 |
Patients with NLR in the highest tertile had a >15-fold higher risk of death as compared to patients in the lowest tertile after adjustment for potential confounders | |
ARDS: acute respiratory distress syndrome, COVID-19: coronavirus disease 2019, CRP: C-reactive protein, ICU: intensive care unit, IL-6: interleukin 6, NLR: neutrophil-to-lymphocyte ratio, and NT-proBNP: N-terminal (NT)- proB-type natriuretic peptide.
Figure 2Mechanistic insights into viral and inflammatory myocardial and vascular tissue damage in COVID-19. Two phases of COVID-19 have been described: a) an early phase where tissue damage is mainly induced directly by the virus and b) in some severe cases a 2nd phase, where aberrant immune response (hyperinflammation) is the cause of tissue damage (upper panel). A large number of proinflammatory cytokines (TNFα, IL-2, IL-6, and IL-7) and chemokines (MCP-1 and IP-10) have been found increased in the circulation of patients with more severe disease. Circulating cytokines can activate endothelial cells and upregulate the expression of leukocyte adhesion molecules such as E-selectin, ICAM-1, and VCAM-1. This could lead to the transmigration of leukocytes into peripheral tissues, such as the myocardium, and cause inflammatory tissue damage (lower panel). This figure was created using Servier Medical Art templates, which are licensed under a Creative Commons Attribution 3.0 Unported License; https://smart.servier.com. ACE2: angiotensin-converting enzyme 2, CVD: cardiovascular disease, DM: diabetes mellitus, HTN: hypertension, ICAM-1: intercellular adhesion molecule 1, IL: interleukin, IP10: interferon γ-induced protein 10, MCP1: monocyte chemoattractant protein-1, mono: monocytes, TNFα: tumor necrosis factor alpha, and VCAM-1: vascular cell adhesion molecule.
Frequency of cardiovascular comorbidities, preexisting cardiovascular disease, and cardiovascular complications in patients with severe COVID-19
| n | Median age, years | CV comorbidities | Pre existing CVD | CV complications | |||||
|---|---|---|---|---|---|---|---|---|---|
| Current smoker | HTN | DM | CVD | Myocardial injury | HF | Arrhythmia | |||
| Guan | 173 | 52 | 16.9 | 23.7 | 16.2 | 5.8 | N/A | N/A | N/A |
| Huan | 13 | 49 | 0 | 15.4 | 7.7 | 23.1 | 30.8 | N/A | N/A |
| Wang | 36 | 66 | N/A | 58.3 | 22.2 | 25.0 | 22.2 | N/A | 44.4 |
| Zhang | 58 | 64 | 3.4 | 37.9 | 13.8 | 6.9A | N/A | N/A | N/A |
| Wu | 84 | 58.5 | N/A | 27.4 | 19.0 | 6.0 | N/A | N/A | N/A |
| Guan | 254 | N/A | N/A | 34.6 | 17.7 | 7.9 | N/A | N/A | N/A |
| Yang | 52 | 59.7 | 3.8 | N/A | 17.3 | 10.4 | 23.1 | N/A | N/A |
| Huang | 25 | 51 | 8.0E | 16.0 | 40.0 | 4.0 | N/A | N/A | N/A |
| Shi | 97 | N/A | N/A | N/A | N/A | N/A | 49.5 | N/A | N/A |
| Guo | 46 | N/A | N/A | N/A | N/A | N/A | 65.2 | N/A | N/A |
| Han | 60B | 59B,D | N/A | N/A | N/A | N/A | 76.7B | 25.0B 33.3C | N/A |
| Arentz | 21 | 70D | N/A | N/A | 33.3 | 42.9 | N/A | 33.3 | N/A |
| Goyal | 130 | 64.5 | 4.6 | 53.8 | 27.7 | 19.2D | N/A | N/A | 18.5 |
| Wei | 37 | N/A | N/A | N/A | N/A | N/A | 32.4 | N/A | N/A |
CV: cardiovascular, CVD: cardiovascular disease, DM: diabetes mellitus, HF: heart failure, HTN: hypertension, n: total severe cases, and N/A: not applicable.
ACoronary artery disease, B Severe COVID-19 C Critical COVID-19, D Mean age, and E Smoking history.
Frequency of cardiovascular comorbidities, preexisting cardiovascular disease and cardiovascular complications in patients with COVID-19 who recovered the disease.
| n | Median age, years | CV comorbidities | Pre existing CVD | CV complications | |||||
|---|---|---|---|---|---|---|---|---|---|
| Current smoker | HTN | DM | CVD | Myocardial injury | HF | Arrhythmia | |||
| Yang | 20A | 51.9C | 10.0 | N/A | 10.0 | 10.0 | 15.0 | N/A | N/A |
| Zhou | 137B | 52 | 4.4 | 23.4 | 13.9 | 1.5D | 0.8 | 11.7 | N/A |
| Ruan | 82B | 50 | N/A | 28.0 | 15.9 | 0 | 6.2E | N/A | N/A |
| Shi | 40B | N/A | N/A | N/A | N/A | N/A | 5.0 | N/A | N/A |
| Chen | 161 | 51 | 3.1 | 24.2 | 14.3 | 4.3 | 16.5 | 3.2 | N/A |
| Mehra | 8395B | 48.7C | 5.3 | 26.4 | 14.0 | 10.8D | N/A | N/A | N/A |
| Lechien | 264H | 34.1C | 15.9 | 10.6 | 1.5 | 1.9 | N/A | N/A | N/A |
| Shi | 609 | 61 | N/A | 26.6 | 13.1 | 6.4D | N/A | N/A | N/A |
CV: cardiovascular, CVD: cardiovascular disease, DM: diabetes mellitus, HF: heart failure, HTN: hypertension, n: total recovered patients, N/A: not applicable.
A Only critically ill patients with COVID-19 were included in the study, B Discharged patients, C Mean age, D Coronary artery disease, E Continuous variable representing the median value of cardiac troponin, pg/mL (2.0-28.0), F Congestive heart failure, G Arrhythmia, H Only patients with mild-to-moderate COVID-19 were included in the study, I Chronic heart failure.
Recommendations for the management of CVD patients with COVID-19 as suggested from Societies/Organizations/Experts.
| Society/Organization/Expert and date issued | Recommendations | Precautions |
|---|---|---|
| American College of Cardiology | Make plans for quickly identifying and isolating cardiovascular patients with COVID-19 symptoms. Advise all cardiovascular patients of the potential increased risk. CVD patients should remain current with vaccinations, including the pneumococcal vaccine. In geographies with active COVID-19 outbreaks, it may be reasonable to substitute telephonic visits for in-person routine. General immunological health remains important for both providers and patients, including eating well, sleeping, and managing stress. | Patients with underlying cardiovascular disease are at higher risk of contracting COVID-19 and have a worse prognosis. Classic symptoms and presentation of AMI may be overshadowed in the context of COVID-19, resulting in underdiagnosis. For patients with heart failure or volume overload conditions, copious fluid administration for viral infection should be used cautiously. It is reasonable to triage patients with COVID-19 according to underlying cardiovascular or other comorbid conditions for prioritized treatment. |
| ESC Council on Hypertension | Continuation of treatment with the usual antihypertensive therapy. | No evidence about ACEIs and ARBs in humans; however, preclinical evidence suggests that these medications might be rather protective. |
| Chinese Medical Association | Severe emergent cardiovascular diseases for which hospitalization and conservative medical treatment is recommended: STEMI for whom thrombolytic therapy is indicated STEMI presenting after exceeding the optimal window of time for revascularization High risk NSTE-ACS (GRACE score≥140) Uncomplicated Stanford type B aortic dissection Acute pulmonary embolism, f) acute exacerbation of heart failure, and g) hypertensive emergency Acute STEMI with hemodynamic instability Life-threatening NSTEMI Stanford type A or complex Type B acute aortic dissection Bradyarrhythmia complicated with syncope or unstable hemodynamics Pulmonary embolism presenting with hemodynamic instability for whom regular intravenous thrombolytic therapy might lead to excessively bleeding risk | Risk assessment Protection for patients and medical staff Adapting measures tailored to specific local epidemic situations Consider conservative medical treatment as a top priority Intervene in a uniquely equipped cardiac catheterization/electrophysiology laboratory specifically engineered with more than standard disinfection procedures All suspected and confirmed patients with COVID-19 should be transported with standardized attention to relevant national regulations For patients with confirmed or suspected COVID-19 undergoing emergent cardiovascular interventional procedures, preestablished plans for COVID-19 should be initiated Patients diagnosed with COVID-19 should be transferred to an ICU with negative-pressure ventilation for continued treatment Suspected patients with COVID-19 should be isolated in a single bedroom, and suspected infectious specimens should be handled with care |
| 1) Heart Rhythm Society COVID-19 Task Force | Triage of procedures based on screening and personal protective equipment. Postpone or cancel non-urgent, elective procedures. Remote device monitoring. Tele-medicine and digital health paradigms. It is reasonable to temporarily stop class III antiarrhythmic drugs, with use of a reasonable alternative if there is evidence of QT prolongation. ECG monitoring should be considered for patients on multiple QT prolonging medications and avoidance or careful monitoring may be required for congenital LQT patients. | The proposed HCQ therapy for COVID-19 is relatively short (e.g., 5-10 days), the risk of arrhythmic toxicity is likely quite low. There are specific precautions to be considered for select patients: Patients with known congenital Long QT Syndrome Patients with severe renal insufficiency should have the dose reduced (50% for CrCl <10 mL/min) Patients on QT-prolonging drugs Electrolyte imbalances must be corrected prior to use None of the above conditions is an absolute contraindication if use of HCQ is warranted. Aggressive electrolyte correction can mitigate arrhythmic toxicity. |
| European Association of Cardiovascular Imaging | Cardiac imaging should be performed if appropriate and only if it is likely to substantially change patient management or be lifesaving Use the imaging modality with the best capability to meet the request, but consider also the safety of medical staff regarding exposure Elective non-urgent and routine follow-up exams may be postponed or even cancelled | Obligatory preventive measures during TTE and TOE: Handwashing FFP2/FFP3/N95/N99 masks and gloves Protective clothing Eye protection Head cap Full cover or dedicated scanners Problem-focused study |
ACE: angiotensin converting enzyme, ARB: angiotensin II receptor blocker, AMI: acute myocardial infarction, CrCl: creatinine clearance, CVD: cardiovascular, ECMO: extracorporeal membrane oxygenation, ESC: European Society of Cardiology, GRACE score: Global Registry of Acute Coronary Events score. HCQ: Hydroxychloroquine, HFOT: high flow oxygen therapy, NSTEMI: Non-ST-elevation myocardial infarction, PPE: personal protective equipment, STEMI: ST-elevation myocardial infarction, TOE: transesophageal echocardiogram, and TTE: transthoracic echocardiogram.