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Electrocardiographic (ECG) evaluation of patients with severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) infection.
The present study involves three different phases of evaluation of the ECG traces of hospitalized patients with SARS-CoV-2 infection.
In the early months of 2020, SARS-CoV-2 virus infection quickly spread around the world to a pandemic. On 2 April 2020, confirmed cases of coronavirus disease 2019 (COVID-19) worldwide exceeded one million and an unprecedented health crisis has occurred in recent history.
SARS-CoV-2 disease can lead to the development of even severe pneumonia with the need for ventilatory support and in some cases fatal outcome.
From the data currently present in the literature, important relationships emerge between infection and cardiovascular diseases. COVID-19 patients with underlying pre-existing heart disease or cardiovascular risk factors have a more severe course of the disease and are more at risk of adverse outcomes and death than individuals with no history of heart disease or risk factors.
During the course of the infection, some patients even without previous heart disease may experience myocardial injury and this leads to a significant increase in in-hospital mortality. Myocardial pain during SARS-CoV-2 infection is associated with cardiac dysfunction and arrhythmias.
To date, there are no data on the role of the electrocardiogram neither in the diagnosis of cardiac involvement nor in predicting the prognosis of patients with SARS-CoV-2 infection.
Whether there are basal electrocardiographic features capable of correlating with the course of the disease and the prognosis is currently unknown. The development of electrocardiographic changes during the course of the disease and their possible prognostic significance has not currently been described.
The present study involves three different phases of evaluation of the electrocardiographic (ECG) traces of hospitalized patients with SARS-CoV-2 infection.
Phase 1 Retrospective, multicentric, cohort study Phase 2 and 3 prospective, multicentric, cohort study
Phase 1:
• Describe the ECG characteristics in patients presenting with severe form of SARS-CoV-2 infection
Phase 2:
Phase 3:
Data collected:
Enrolled patients will be followed clinically until the day of discharge as per care practice. A 3-month follow-up is foreseen to evaluate the outcome and repeat the ECG. At the discretion of the clinician who manages the patient, transthoracic echocardiogram and / or cardiac magnetic resonance imaging will also be performed.
A formal calculation of the sample size is not possible due to the total lack of data. Furthermore, since it is an observational project, the calculation of the sample size is not mandatory. However, based on similar studies, it is believed that the minimum samples for the various phases are:
80 patients for Phase 1 study objectives, 800 patients for Phase 2 study objectives and 300 patients for Phase 3 study objectives
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| ECG | Diagnostic Test | 12 lead electrocardiogram |
| Measure | Description | Time Frame |
|---|---|---|
| Phase 1: ECG characteristics in patients presenting with severe form of SARS-CoV-2 infection | Describe the ECG characteristics in patients presenting with severe form of SARS-CoV-2 infection | 1 month |
| Phase 2: Correlation between ECG signs and needs for invasive mechanical ventilation and/or mortality in the acute phase | To evaluate the correlation between ECG signs and cardiac involvement in the acute phase • Assess the correlation between ECG signs and mortality in the acute phase | 6 months |
| Phase 3: Correlation between ECG signs and cardiac involvement and mortality in the chronic phase | To evaluate the correlation between acute phase ECG signs and chronic phase cardiac involvement • evaluate the appearance, in the short-term follow-up, of signs of cardiac involvement (cardiomyopathies and conduction disorders in particular) | 12 months |
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Inclusion Criteria:
Exclusion Criteria:
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Hospitalized patients with SARS-CoV-2 infection
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Matteo Bertini, MD, PhD | Contact | +393474010904 | doc.matber@gmail.com |
| Name | Affiliation | Role |
|---|---|---|
| Matteo Bertini, MD, PhD | s.anna university hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Arcispedale S. Anna | Recruiting | Ferrara | 44124 | Italy |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 32219362 | Background | Bonow RO, Fonarow GC, O'Gara PT, Yancy CW. Association of Coronavirus Disease 2019 (COVID-19) With Myocardial Injury and Mortality. JAMA Cardiol. 2020 Jul 1;5(7):751-753. doi: 10.1001/jamacardio.2020.1105. No abstract available. | |
| 32219356 | Background | Guo T, Fan Y, Chen M, Wu X, Zhang L, He T, Wang H, Wan J, Wang X, Lu Z. Cardiovascular Implications of Fatal Outcomes of Patients With Coronavirus Disease 2019 (COVID-19). JAMA Cardiol. 2020 Jul 1;5(7):811-818. doi: 10.1001/jamacardio.2020.1017. |
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not yet decided a plan to share individual participant data (IPD)
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| ID | Term |
|---|---|
| D045169 | Severe Acute Respiratory Syndrome |
| D000086382 | COVID-19 |
| ID | Term |
|---|---|
| D012141 | Respiratory Tract Infections |
| D007239 | Infections |
| D018352 | Coronavirus Infections |
| D003333 | Coronaviridae Infections |
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| ID | Term |
|---|---|
| D004562 | Electrocardiography |
| ID | Term |
|---|---|
| D006334 | Heart Function Tests |
| D003935 | Diagnostic Techniques, Cardiovascular |
| D019937 | Diagnostic Techniques and Procedures |
| D003933 | Diagnosis |
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| 32007143 | Background | Chen N, Zhou M, Dong X, Qu J, Gong F, Han Y, Qiu Y, Wang J, Liu Y, Wei Y, Xia J, Yu T, Zhang X, Zhang L. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020 Feb 15;395(10223):507-513. doi: 10.1016/S0140-6736(20)30211-7. Epub 2020 Jan 30. |
| 32139904 | Background | Zheng YY, Ma YT, Zhang JY, Xie X. COVID-19 and the cardiovascular system. Nat Rev Cardiol. 2020 May;17(5):259-260. doi: 10.1038/s41569-020-0360-5. |
| 38652232 | Derived | Zuin M, Ferrari R, Guardigli G, Malagu M, Vitali F, Zucchetti O, D'Aniello E, Di Ienno L, Gibiino F, Cimaglia P, Grosseto D, Corzani A, Galvani M, Ortolani P, Rubboli A, Tortorici G, Casella G, Sassone B, Navazio A, Rossi L, Aschieri D, Mezzanotte R, Manfrini M, Bertini M. A COVID-19 specific multiparametric and ECG-based score for the prediction of in-hospital mortality: ELCOVID score. Intern Emerg Med. 2024 Aug;19(5):1279-1290. doi: 10.1007/s11739-024-03599-3. Epub 2024 Apr 23. |
| 32944767 | Derived | Bertini M, Ferrari R, Guardigli G, Malagu M, Vitali F, Zucchetti O, D'Aniello E, Volta CA, Cimaglia P, Piovaccari G, Corzani A, Galvani M, Ortolani P, Rubboli A, Tortorici G, Casella G, Sassone B, Navazio A, Rossi L, Aschieri D, Rapezzi C. Electrocardiographic features of 431 consecutive, critically ill COVID-19 patients: an insight into the mechanisms of cardiac involvement. Europace. 2020 Dec 23;22(12):1848-1854. doi: 10.1093/europace/euaa258. |
| D030341 | Nidovirales Infections |
| D012327 | RNA Virus Infections |
| D014777 | Virus Diseases |
| D012140 | Respiratory Tract Diseases |
| D011024 | Pneumonia, Viral |
| D011014 | Pneumonia |
| D008171 | Lung Diseases |
| D004568 | Electrodiagnosis |