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| Name | Class |
|---|---|
| University of Glasgow | OTHER |
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One-in-four patients with COVID-19 pneumonia develop life-threatening heart problems. Through cardiovascular imaging and biomarkers analyses this study aims to evaluate whether COVID-19 infection results in heart injury. The investigators will also investigate which patients are at risk of heart injury as a result of COVID-19 and why only some patients suffer heart problems as a consequence of the infection. The study will also assess multisystem involvement including the lungs and kidneys.
Our study is supported through the Chief Scientist Office Rapid Research in Covid-19 (RARC-19) programme. Our study will clarify the pathogenesis of cardiopulmonary injury, notably endotypes of myocardial injury including myocarditis, in patients with COVID-19.
The study involves a prospective, observational, multicentre, longitudinal cohort design.The investigators aim to minimise selection bias by adopting consecutive screening of all-comers hospitalised with COVID-19 and the eligibility criteria are broad. For example, severe renal dysfunction is not an exclusion criterion. The sample size is 180 patients enrolled at baseline with 160 attending for the primary outcome evaluation (cardiac imaging) at 28 days post-discharge. The investigators will use advanced cardiovascular imaging to identify the number (proportion) of patients with myocardial inflammation (myocarditis) that is sub-clinical (i.e. not diagnosed) or clinically overt. Cardiovascular MRI and CT coronary angiography will provide a comprehensive examination one month after discharge is intended to detect persisting cardiovascular complications and diagnose clinical endotypes. The investigators aim to clarify the pathological significance of serial changes in circulating troponin, NTproBNP and renal function. By correlating the MRI findings with troponin I and other measures of cardiovascular injury, such as NTproBNP, our results will inform care pathways that use these blood tests to guide the management of patients with COVID-19. Correlation of imaging findings with baseline clinical information, biomarkers, patient reported outcome measures and well-being in the longer term will help to clarify the clinical significance of cardiovascular complications in COVID-19. Since the design is observational, an interim analysis may be undertaken with the timing informed by the enrolment rate.
Longer term follow-up will include a 5-year visit, contingent on funding and ethics approval, and electronic health record linkage of vital status and episodes of NHS care.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| COVID-19 | Patients with confirmed COVID-19 meeting the eligibility criteria specified in the protocol. | ||
| Control | COVID-19 negative. Age/sex matched to the COVID-19 cohort. Age range 40-80 years. At least one cardiovascular risk factor by ASSIGN criteria. |
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| Measure | Description | Time Frame |
|---|---|---|
| The primary cardiac outcome is the proportion of patients with a diagnosis of myocardial inflammation (myocarditis). | Myocardial inflammation (or myocarditis) will be revealed by cardiovascular magnetic resonance imaging (MRI) according to contemporary guidelines including the modified Lake Louise Criteria. The endotypes of myocardial injury are 1) myocardial inflammation due to 1.1) viral myocarditis, 1.2) ischaemia, or 1.3) stress (Takotsubo) cardiomyopathy, 2) myocardial infarction, 3) indeterminate, or 4) none. The final diagnosis will be a consensus-based determination by an expert panel. This information will provide insights into the incidence, nature, time-course and clinical significance of cardiovascular involvement in patients with COVID-19. The clinical significance of our findings will be assessed through associations with patient reported outcome measures (PROMS) and health outcomes in the longer term. | 28 days after discharge from hospital |
| The primary cardio-pulmonary outcome is the proportion of patients with thrombosis | Thrombosis of the right heart, pulmonary arteries and left heart will be determined contrast-enhanced CT chest, angiography and MRI. | 28 days after discharge from hospital |
| Measure | Description | Time Frame |
|---|---|---|
| Myocardial injury | Assess mechanisms using circulating biomarkers of cardiac injury, high sensitivity troponin I (ng/L) and its change over time from baseline. | 28 days after discharge from hospital, > 1 year post discharge (average 18-22 months) |
| Myocardial stress |
| Measure | Description | Time Frame |
|---|---|---|
| Cardiovascular science - vascular biology | Exploratory study to help better understand the cardiovascular pathophysiology of COVID-19. The outcome is endothelial function in of isolated arterioles from gluteal biopsy. Endothelial function will be the (Emax, % vasorelaxation to acetylcholine in a pre-constricted arteriole). Other measures of vascular function will also be assessed. | 1 year |
Inclusion Criteria:
Exclusion Criteria:
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All-comers who have attended or admitted to hospital for COVID-19 and meet the eligibility criteria described
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| Name | Affiliation | Role |
|---|---|---|
| Colin Berry, MBChB/PhD | University of Glasgow / NHS Greater Glasgow & Clyde | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Royal Alexandra Hospital | Paisley | Renfrewshire | PA2 9PJ | United Kingdom | ||
| Royal Infirmary |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 32352535 | Background | Guzik TJ, Mohiddin SA, Dimarco A, Patel V, Savvatis K, Marelli-Berg FM, Madhur MS, Tomaszewski M, Maffia P, D'Acquisto F, Nicklin SA, Marian AJ, Nosalski R, Murray EC, Guzik B, Berry C, Touyz RM, Kreutz R, Wang DW, Bhella D, Sagliocco O, Crea F, Thomson EC, McInnes IB. COVID-19 and the cardiovascular system: implications for risk assessment, diagnosis, and treatment options. Cardiovasc Res. 2020 Aug 1;116(10):1666-1687. doi: 10.1093/cvr/cvaa106. | |
| 32391912 |
| Label | URL |
|---|---|
| Glasgow Clinical Trials Unit | View source |
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Samples will be stored for biomarker analyses including DNA
Assess the significance of myocardial injury by measuring circulating concentrations of NTproBNP (pg/mL) and its change over time from baseline. |
| 28 days after discharge from hospital, > 1 year post discharge (average 18-22 months) |
| Systemic inflammation | Assess systemic inflammation by measurement of the peak circulating concentration of C-reactive protein (mg/dL) and its change over time. | 28 days after discharge from hospital, > 1 year post discharge (average 18-22 months) |
| Vascular injury | Assess vascular injury/inflammation by measurement of the peak circulating concentration of IL-6 (pg/mL) and its change over time. | 28 days after discharge from hospital, > 1 year post discharge (average 18-22 months) |
| Endothelial activation and haemostasis | Assess endothelial injury by immunoassay measurement of the peak circulating concentration of VWF:ag (IU/dL) and its change over time. Other measures of haemostasis will also be measured. | 28 days after discharge from hospital, > 1 year post discharge (average 18-22 months) |
| Fibrin lysis | Assess fibrin lysis by measurement of the peak circulating concentration of fibrin D-dimer (IU/dL) and its change over time. | 28 days after discharge from hospital, > 1 year post discharge (average 18-22 months) |
| Coagulation | Assess coagulation by measurement of Activated Partial Thromboplastin Time (APTT) in seconds. Other measures of coagulation will also be measured. | 28 days after discharge from hospital, > 1 year post discharge (average 18-22 months) |
| Platelet count | Assess platelet count (n/microlitre), minimum value (thrombocytopaenia) and change over time. | 28 days after discharge from hospital, > 1 year post discharge (average 18-22 months) |
| Renal function | Assess renal function using urine albumin:creatinine ratio and its change over time. Other measures of renal function/injury will also be assessed. | 28 days after discharge from hospital, > 1 year post discharge (average 18-22 months) |
| Quantify myocardial perfusion as a measure of coronary microvascular function | Stress perfusion MRI will provide quantitative assessments of myocardial perfusion (ml/min/g) and classify perfusion abnormalities according to other MRI findings e.g. scar, inflammation and coronary artery disease as revealed by CT coronary angiography. | 28 days after discharge from hospital, > 1 year post discharge (average 18-22 months) |
| Association of the primary outcome according to a prior history of cardiovascular disease or no history of prior cardiovascular disease. | Imaging for coronary disease, PTE and lung pathology will be correlated with NHS clinical data on prior history of cardiovascular disease. | 28 days after discharge from hospital, > 1 year post discharge (average 18-22 months) |
| Patient reported outcome measures (PROMS) - health status | Health status, well being and function will be prospectively assessed using prespecified PROMS : EuroQOL EQ-5D-5L score. Other measures of health status will also be assessed. | 1 year |
| PROMS - functional capacity | Patient reported functional activity using the Duke Activity Status Index (DASI), measured by the score generated from the questionnaire (https://www.mdcalc.com/duke-activity-status-index-dasi) | 1 year |
| Cardiovascular science - mathematical modelling | Exploratory study to help better understand the cardiac biomechanical implications of COVID-19. The outcome measure will be myocardial stiffness (Cauchy stress, kPa). The sub-studies will involve using mathematical modelling and, relatedly, statistical emulation. The models will also include the coronary/pulmonary circulation. | 1 year |
| Cardiovascular science - pathology | The pathogenesis of SARS-CoV-2 will be examined using histopathology techniques. The outcome is SARS-CoV-2 viral protein or RNA identified in cardiovascular cells. | 1 year |
| Health outcomes (serious adverse events) | Health outcomes as measured by the occurrence of serious adverse events (SAE) quantified by 1) rehospitalisation and 2) death. These events will be identified in the longer term using electronic record linkage to health records held by government and the National Health Service. | 20 years |
| Glasgow |
| G31 2ER |
| United Kingdom |
| Queen Elizabeth University Hospital | Glasgow | G51 4TF | United Kingdom |
| Background |
| Cosyns B, Lochy S, Luchian ML, Gimelli A, Pontone G, Allard SD, de Mey J, Rosseel P, Dweck M, Petersen SE, Edvardsen T. The role of cardiovascular imaging for myocardial injury in hospitalized COVID-19 patients. Eur Heart J Cardiovasc Imaging. 2020 Jul 1;21(7):709-714. doi: 10.1093/ehjci/jeaa136. |
| 23824828 | Background | Caforio AL, Pankuweit S, Arbustini E, Basso C, Gimeno-Blanes J, Felix SB, Fu M, Helio T, Heymans S, Jahns R, Klingel K, Linhart A, Maisch B, McKenna W, Mogensen J, Pinto YM, Ristic A, Schultheiss HP, Seggewiss H, Tavazzi L, Thiene G, Yilmaz A, Charron P, Elliott PM; European Society of Cardiology Working Group on Myocardial and Pericardial Diseases. Current state of knowledge on aetiology, diagnosis, management, and therapy of myocarditis: a position statement of the European Society of Cardiology Working Group on Myocardial and Pericardial Diseases. Eur Heart J. 2013 Sep;34(33):2636-48, 2648a-2648d. doi: 10.1093/eurheartj/eht210. Epub 2013 Jul 3. |
| 30545455 | Background | Ferreira VM, Schulz-Menger J, Holmvang G, Kramer CM, Carbone I, Sechtem U, Kindermann I, Gutberlet M, Cooper LT, Liu P, Friedrich MG. Cardiovascular Magnetic Resonance in Nonischemic Myocardial Inflammation: Expert Recommendations. J Am Coll Cardiol. 2018 Dec 18;72(24):3158-3176. doi: 10.1016/j.jacc.2018.09.072. |
| 30571511 | Background | Thygesen K, Alpert JS, Jaffe AS, Chaitman BR, Bax JJ, Morrow DA, White HD; Executive Group on behalf of the Joint European Society of Cardiology (ESC)/American College of Cardiology (ACC)/American Heart Association (AHA)/World Heart Federation (WHF) Task Force for the Universal Definition of Myocardial Infarction. Fourth Universal Definition of Myocardial Infarction (2018). Circulation. 2018 Nov 13;138(20):e618-e651. doi: 10.1161/CIR.0000000000000617. No abstract available. |
| 41559637 | Derived | Kamdar A, Morrow AJ, Sykes R, McIntosh A, Bagot C, Bayes HK, Blyth KG, Church C, Gillespie L, Roditi G, Stobo D, Weeden S, Welsh P, Mangion K, McConnachie A, Berry C; CISCO-19 Consortium. Illness trajectory in the longer term after hospitalisation for COVID-19: a prospective, multicentre cohort study. BMC Infect Dis. 2026 Jan 20;26(1):344. doi: 10.1186/s12879-025-12487-w. |
| 39929549 | Derived | Sykes R, Morrow AJ, Mangion K, McConnachie A, McIntosh A, Roditi G, Peng L, Rooney C, Scott K, Stobo DB, Berry C, Church C, Bayes H; CISCO-19 investigators. Radiological abnormalities persist following COVID-19 and correlate with impaired health-related quality of life: a prospective cohort study of hospitalised patients. BMJ Open Respir Res. 2025 Feb 10;12(1):e001985. doi: 10.1136/bmjresp-2023-001985. |
| 37019821 | Derived | Sykes RA, Neves KB, Alves-Lopes R, Caputo I, Fallon K, Jamieson NB, Kamdar A, Legrini A, Leslie H, McIntosh A, McConnachie A, Morrow A, McFarlane RW, Mangion K, McAbney J, Montezano AC, Touyz RM, Wood C, Berry C. Vascular mechanisms of post-COVID-19 conditions: Rho-kinase is a novel target for therapy. Eur Heart J Cardiovasc Pharmacother. 2023 Jun 2;9(4):371-386. doi: 10.1093/ehjcvp/pvad025. |
| 36822817 | Derived | Sykes R, Morrow AJ, McConnachie A, Kamdar A, Bagot C, Bayes H, Blyth KG, Briscoe M, Bulluck H, Carrick D, Church C, Corcoran D, Delles C, Findlay I, Gibson VB, Gillespie L, Grieve D, Barrientos PH, Ho A, Lang NN, Lowe DJ, Lennie V, MacFarlane P, Mayne KJ, Mark P, McIntosh A, McGeoch R, McGinley C, Mckee C, Nordin S, Payne A, Rankin A, Robertson KE, Ryan N, Roditi GH, Sattar N, Stobo DB, Allwood-Spiers S, Touyz R, Veldtman G, Weeden S, Watkins S, Welsh P, Wereski R, Mangion K, Berry C. Adjudicated myocarditis and multisystem illness trajectory in healthcare workers post-COVID-19. Open Heart. 2023 Feb;10(1):e002192. doi: 10.1136/openhrt-2022-002192. |
| 35606551 | Derived | Morrow AJ, Sykes R, McIntosh A, Kamdar A, Bagot C, Bayes HK, Blyth KG, Briscoe M, Bulluck H, Carrick D, Church C, Corcoran D, Findlay I, Gibson VB, Gillespie L, Grieve D, Hall Barrientos P, Ho A, Lang NN, Lennie V, Lowe DJ, Macfarlane PW, Mark PB, Mayne KJ, McConnachie A, McGeoch R, McGinley C, McKee C, Nordin S, Payne A, Rankin AJ, Robertson KE, Roditi G, Ryan N, Sattar N, Allwood-Spiers S, Stobo D, Touyz RM, Veldtman G, Watkins S, Weeden S, Weir RA, Welsh P, Wereski R; CISCO-19 Consortium; Mangion K, Berry C. A multisystem, cardio-renal investigation of post-COVID-19 illness. Nat Med. 2022 Jun;28(6):1303-1313. doi: 10.1038/s41591-022-01837-9. Epub 2022 May 23. |
| 32702087 | Derived | Mangion K, Morrow A, Bagot C, Bayes H, Blyth KG, Church C, Corcoran D, Delles C, Gillespie L, Grieve D, Ho A, Kean S, Lang NN, Lennie V, Lowe DJ, Kellman P, Macfarlane PW, McConnachie A, Roditi G, Sykes R, Touyz RM, Sattar N, Wereski R, Wright S, Berry C. The Chief Scientist Office Cardiovascular and Pulmonary Imaging in SARS Coronavirus disease-19 (CISCO-19) study. Cardiovasc Res. 2020 Dec 1;116(14):2185-2196. doi: 10.1093/cvr/cvaa209. |
| Chief Scientist Office, Scottish Government - Rapid Research in Covid-19 (RARC-19) | View source |