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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT04369807
Other study ID # 20/SC/0185
Secondary ID
Status Completed
Phase
First received
Last updated
Start date April 21, 2020
Est. completion date April 19, 2022

Study information

Verified date January 2022
Source Perspectum
Contact n/a
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

A prospective, longitudinal, observational cohort study looking at patients following COVID-19 disease using multi-parametric magnetic resonance imaging (MRI) to assess the degree and prevalence of organ injury.


Description:

To date, correctly, all of the Government's efforts have been dedicated to providing sufficient hospital space, and the appropriate equipment, for treating the most serious cases of COVID-19. Equally, enormous resource is being dedicated to developing technologies that determine who has the disease, and who has developed antibodies to it. However, patients recovering from serious disease will also pose a huge, ongoing challenge. Not only are people with co-morbidities including underlying fatty liver disease, metabolic syndrome and diabetes at higher risk for complications with COVID-19Íž but patients discharged from hospital after severe COVID-19 are reported to have liver and kidney injuries, and impacts on pancreas and spleen. However, the extent of organ health/damage has not been mapped. This is a prospective, longitudinal, observational cohort study looking at patients recovering from COVID-19 disease using multi-parametric magnetic resonance imaging (MRI) to assess the degree and prevalence of organ injury. This proposed study aims to measure the prevalence of organ volume changes and damage in lungs, heart, kidney, liver, pancreas, spleen as assessed by MRI among those having recovered, or recovering, from the SARS-CoV-2 infection - participants will have a final MRI scan at 12 months. Assessing the severity and sequelae of COVID-19 in patients is crucial to enable global planning for health-care needs. The study includes up to 3 visits for MRI scans and blood tests over a 12 month period. All participants will receive standard-of-care by their healthcare provider/s.


Recruitment information / eligibility

Status Completed
Enrollment 693
Est. completion date April 19, 2022
Est. primary completion date April 19, 2022
Accepts healthy volunteers No
Gender All
Age group 18 Years and older
Eligibility Inclusion Criteria: - Male or female 18 years of age and older willing and able to give informed consent to participate in the study - Recent confirmed diagnosis of SARS-CoV-2 RNA via a polymerase chain reaction (PCR) assay (having been discharged 7 or more days from hospital). Exclusion Criteria: - Symptoms of active respiratory viral infection: - high temperature (over 37.8C/100.04F) - cough (consistent for over an hour; 3 or more episodes in 24 hours) - The participant may not enter the study with any known contraindication to magnetic resonance imaging (including but not limited to pregnancy, a pacemaker or other metallic unfixed implanted device, metallic fragments, extensive tattoos, severe claustrophobia). - Any other cause, including a significant underlying disease or disorder which, in the opinion of the investigator, may put the participant at risk by participating in the study or limit the participant's ability to participate.

Study Design


Related Conditions & MeSH terms


Intervention

Diagnostic Test:
Outpatient MRI
Participation in the study includes up to 3 visits to a partnering imaging facility - this will include measurement of height and weight (to calculate BMI), blood pressure measurement, 3 sets of blood tests, 3 Questionnaires and 3 MRI tests. There will be no medical interventions as part of the study. All participants will receive standard-of-care by their healthcare provider/s. With the participant's consent, the participant's primary care physician will be made aware of their participation in the study. Furthermore, participants will be informed of any structural abnormalities found in the MRI scan (e.g. abnormal vessels, haemangioma, tumour, cyst, among others) and abnormal blood test results as these may have clinical implications.

Locations

Country Name City State
United Kingdom Mayo Clinic Healthcare London
United Kingdom Gemini Oxford

Sponsors (1)

Lead Sponsor Collaborator
Perspectum

Country where clinical trial is conducted

United Kingdom, 

References & Publications (25)

Bachtiar V, Kelly MD, Wilman HR, Jacobs J, Newbould R, Kelly CJ, Gyngell ML, Groves KE, McKay A, Herlihy AH, Fernandes CC, Halberstadt M, Maguire M, Jayaratne N, Linden S, Neubauer S, Banerjee R. Repeatability and reproducibility of multiparametric magnetic resonance imaging of the liver. PLoS One. 2019 Apr 10;14(4):e0214921. doi: 10.1371/journal.pone.0214921. eCollection 2019. — View Citation

Banerjee R, Pavlides M, Tunnicliffe EM, Piechnik SK, Sarania N, Philips R, Collier JD, Booth JC, Schneider JE, Wang LM, Delaney DW, Fleming KA, Robson MD, Barnes E, Neubauer S. Multiparametric magnetic resonance for the non-invasive diagnosis of liver disease. J Hepatol. 2014 Jan;60(1):69-77. doi: 10.1016/j.jhep.2013.09.002. Epub 2013 Sep 12. — View Citation

Borlotti A, Thomaides-Brears H, Georgiopoulos G, Banerjee R, Robson MD, Fusco DN, Masci PG. The Additive Value of Cardiovascular Magnetic Resonance in Convalescent COVID-19 Patients. Front Cardiovasc Med. 2022 Apr 7;9:854750. doi: 10.3389/fcvm.2022.854750 — View Citation

Bycroft C, Freeman C, Petkova D, Band G, Elliott LT, Sharp K, Motyer A, Vukcevic D, Delaneau O, O'Connell J, Cortes A, Welsh S, Young A, Effingham M, McVean G, Leslie S, Allen N, Donnelly P, Marchini J. The UK Biobank resource with deep phenotyping and genomic data. Nature. 2018 Oct;562(7726):203-209. doi: 10.1038/s41586-018-0579-z. Epub 2018 Oct 10. — View Citation

Chen T, Wu D, Chen H, Yan W, Yang D, Chen G, Ma K, Xu D, Yu H, Wang H, Wang T, Guo W, Chen J, Ding C, Zhang X, Huang J, Han M, Li S, Luo X, Zhao J, Ning Q. Clinical characteristics of 113 deceased patients with coronavirus disease 2019: retrospective study. BMJ. 2020 Mar 26;368:m1091. doi: 10.1136/bmj.m1091. Erratum In: BMJ. 2020 Mar 31;368:m1295. — View Citation

Cheng Y, Luo R, Wang K, Zhang M, Wang Z, Dong L, Li J, Yao Y, Ge S, Xu G. Kidney disease is associated with in-hospital death of patients with COVID-19. Kidney Int. 2020 May;97(5):829-838. doi: 10.1016/j.kint.2020.03.005. Epub 2020 Mar 20. — View Citation

Davis HE, McCorkell L, Vogel JM, Topol EJ. Long COVID: major findings, mechanisms and recommendations. Nat Rev Microbiol. 2023 Mar;21(3):133-146. doi: 10.1038/s41579-022-00846-2. Epub 2023 Jan 13. — View Citation

Dennis A, Cuthbertson DJ, Wootton D, Crooks M, Gabbay M, Eichert N, Mouchti S, Pansini M, Roca-Fernandez A, Thomaides-Brears H, Kelly M, Robson M, Hishmeh L, Attree E, Heightman M, Banerjee R, Banerjee A. Multi-organ impairment and long COVID: a 1-year pr — View Citation

Dennis A, Wamil M, Alberts J, Oben J, Cuthbertson DJ, Wootton D, Crooks M, Gabbay M, Brady M, Hishmeh L, Attree E, Heightman M, Banerjee R, Banerjee A; COVERSCAN study investigators. Multiorgan impairment in low-risk individuals with post-COVID-19 syndrom — View Citation

Ding Y, He L, Zhang Q, Huang Z, Che X, Hou J, Wang H, Shen H, Qiu L, Li Z, Geng J, Cai J, Han H, Li X, Kang W, Weng D, Liang P, Jiang S. Organ distribution of severe acute respiratory syndrome (SARS) associated coronavirus (SARS-CoV) in SARS patients: implications for pathogenesis and virus transmission pathways. J Pathol. 2004 Jun;203(2):622-30. doi: 10.1002/path.1560. — View Citation

Driggin E, Madhavan MV, Bikdeli B, Chuich T, Laracy J, Biondi-Zoccai G, Brown TS, Der Nigoghossian C, Zidar DA, Haythe J, Brodie D, Beckman JA, Kirtane AJ, Stone GW, Krumholz HM, Parikh SA. Cardiovascular Considerations for Patients, Health Care Workers, and Health Systems During the COVID-19 Pandemic. J Am Coll Cardiol. 2020 May 12;75(18):2352-2371. doi: 10.1016/j.jacc.2020.03.031. Epub 2020 Mar 19. — View Citation

Fernandez AR, Wamil M, Telford A, Carapella V, Borlotti A, Monteiro D, Thomaides-Brears H, Kelly M, Dennis A, Banerjee R, Robson M, Brady M, Lip GYH, Bull S, Heightman M, Ntusi N, Banerjee A. Cardiac abnormalities in Long COVID 1-year post-SARS-CoV-2 infe — View Citation

Grasselli G, Pesenti A, Cecconi M. Critical Care Utilization for the COVID-19 Outbreak in Lombardy, Italy: Early Experience and Forecast During an Emergency Response. JAMA. 2020 Apr 28;323(16):1545-1546. doi: 10.1001/jama.2020.4031. No abstract available. — View Citation

Guan WJ, Ni ZY, Hu Y, Liang WH, Ou CQ, He JX, Liu L, Shan H, Lei CL, Hui DSC, Du B, Li LJ, Zeng G, Yuen KY, Chen RC, Tang CL, Wang T, Chen PY, Xiang J, Li SY, Wang JL, Liang ZJ, Peng YX, Wei L, Liu Y, Hu YH, Peng P, Wang JM, Liu JY, Chen Z, Li G, Zheng ZJ, Qiu SQ, Luo J, Ye CJ, Zhu SY, Zhong NS; China Medical Treatment Expert Group for Covid-19. Clinical Characteristics of Coronavirus Disease 2019 in China. N Engl J Med. 2020 Apr 30;382(18):1708-1720. doi: 10.1056/NEJMoa2002032. Epub 2020 Feb 28. — View Citation

Gurwitz D. Angiotensin receptor blockers as tentative SARS-CoV-2 therapeutics. Drug Dev Res. 2020 Aug;81(5):537-540. doi: 10.1002/ddr.21656. Epub 2020 Mar 4. — View Citation

Harrison SA, Bashir MR, Guy CD, Zhou R, Moylan CA, Frias JP, Alkhouri N, Bansal MB, Baum S, Neuschwander-Tetri BA, Taub R, Moussa SE. Resmetirom (MGL-3196) for the treatment of non-alcoholic steatohepatitis: a multicentre, randomised, double-blind, placebo-controlled, phase 2 trial. Lancet. 2019 Nov 30;394(10213):2012-2024. doi: 10.1016/S0140-6736(19)32517-6. Epub 2019 Nov 11. — View Citation

Harrison SA, Rossi SJ, Paredes AH, Trotter JF, Bashir MR, Guy CD, Banerjee R, Jaros MJ, Owers S, Baxter BA, Ling L, DePaoli AM. NGM282 Improves Liver Fibrosis and Histology in 12 Weeks in Patients With Nonalcoholic Steatohepatitis. Hepatology. 2020 Apr;71(4):1198-1212. doi: 10.1002/hep.30590. Epub 2019 Apr 10. — View Citation

Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, Zhang L, Fan G, Xu J, Gu X, Cheng Z, Yu T, Xia J, Wei Y, Wu W, Xie X, Yin W, Li H, Liu M, Xiao Y, Gao H, Guo L, Xie J, Wang G, Jiang R, Gao Z, Jin Q, Wang J, Cao B. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020 Feb 15;395(10223):497-506. doi: 10.1016/S0140-6736(20)30183-5. Epub 2020 Jan 24. Erratum In: Lancet. 2020 Jan 30;: — View Citation

Pavlides M, Banerjee R, Sellwood J, Kelly CJ, Robson MD, Booth JC, Collier J, Neubauer S, Barnes E. Multiparametric magnetic resonance imaging predicts clinical outcomes in patients with chronic liver disease. J Hepatol. 2016 Feb;64(2):308-315. doi: 10.1016/j.jhep.2015.10.009. Epub 2015 Nov 10. — View Citation

Pavlides M, Banerjee R, Tunnicliffe EM, Kelly C, Collier J, Wang LM, Fleming KA, Cobbold JF, Robson MD, Neubauer S, Barnes E. Multiparametric magnetic resonance imaging for the assessment of non-alcoholic fatty liver disease severity. Liver Int. 2017 Jul;37(7):1065-1073. doi: 10.1111/liv.13284. Epub 2017 May 30. — View Citation

Roca-Fernandez A, Dennis A, Nicholls R, McGonigle J, Kelly M, Banerjee R, Banerjee A, Sanyal AJ. Hepatic Steatosis, Rather Than Underlying Obesity, Increases the Risk of Infection and Hospitalization for COVID-19. Front Med (Lausanne). 2021 Mar 29;8:63663 — View Citation

Verity R, Okell LC, Dorigatti I, Winskill P, Whittaker C, Imai N, Cuomo-Dannenburg G, Thompson H, Walker PGT, Fu H, Dighe A, Griffin JT, Baguelin M, Bhatia S, Boonyasiri A, Cori A, Cucunuba Z, FitzJohn R, Gaythorpe K, Green W, Hamlet A, Hinsley W, Laydon D, Nedjati-Gilani G, Riley S, van Elsland S, Volz E, Wang H, Wang Y, Xi X, Donnelly CA, Ghani AC, Ferguson NM. Estimates of the severity of coronavirus disease 2019: a model-based analysis. Lancet Infect Dis. 2020 Jun;20(6):669-677. doi: 10.1016/S1473-3099(20)30243-7. Epub 2020 Mar 30. Erratum In: Lancet Infect Dis. 2020 Apr 15;: Lancet Infect Dis. 2020 May 4;: — View Citation

Wang T, Du Z, Zhu F, Cao Z, An Y, Gao Y, Jiang B. Comorbidities and multi-organ injuries in the treatment of COVID-19. Lancet. 2020 Mar 21;395(10228):e52. doi: 10.1016/S0140-6736(20)30558-4. Epub 2020 Mar 11. No abstract available. — View Citation

Xu L, Liu J, Lu M, Yang D, Zheng X. Liver injury during highly pathogenic human coronavirus infections. Liver Int. 2020 May;40(5):998-1004. doi: 10.1111/liv.14435. Epub 2020 Mar 30. — View Citation

Zhang C, Shi L, Wang FS. Liver injury in COVID-19: management and challenges. Lancet Gastroenterol Hepatol. 2020 May;5(5):428-430. doi: 10.1016/S2468-1253(20)30057-1. Epub 2020 Mar 4. No abstract available. — View Citation

* Note: There are 25 references in allClick here to view all references

Outcome

Type Measure Description Time frame Safety issue
Primary Characterise prevalence and severity of organ volume change and damage (heart, kidneys and liver) In patients recovering from COVID-19 disease:
Characterise using summary statistics the prevalence and severity of organ volume change and damage to heart, kidneys and liver
12 Months
Secondary Characterise prevalence and severity of organ volume change and damage (lung, pancreas and spleen) In patients recovering from COVID-19 disease:
To characterise using summary statistics the prevalence and severity of organ volume change and damage in lung, pancreas and spleen
12 Months
Secondary Change from Baseline in liver-specific biomarkers: volume, iron corrected T1(cT1), fat content and T2star In patients recovering from COVID-19 disease:
Characterise liver damage as assessed by liver volume in liters, iron corrected T1 (cT1) in milliseconds, liver fat content as %, liver T2star in milliseconds (a correlate of liver iron content)
6 Months
Secondary Change from Baseline in organ-specific biomarkers characterising organ volume change in the heart and spleen along with organ volume and damage in the kidney, liver and pancreas assessed by volume, iron corrected T1 (cT1) and fat infiltration In patients recovering from COVID-19 disease:
Characterise heart and spleen damage as assessed by liver volume in liters as well as kidney, liver and pancreas damage as assessed by volume in liters, iron corrected T1 (cT1) in milliseconds, fat infiltration as %, T2star in milliseconds (a correlate of liver iron content).
12 Months
Secondary Change in patient reported outcome measured by the Dyspnea-12 questionnaire In patients recovering from COVID-19 disease:
Change in patient reported outcome measures collected to assess breathlessness and its effect on overall health and daily life assessed by Dyspnea-12. Each question is assigned a value between: none, mild, moderate and severe and is used to assess breathing characteristics.
12 Months
Secondary Change in patient reported outcome measured by the Saint George's Respiratory questionnaire (SGRQ) In patients recovering from COVID-19 disease:
Change in patient reported outcome measures collected to assess breathlessness and its effect on overall health and daily life assessed by the St. George's Respiratory questionnaire. Each section comprises of questions in various formats allowing to assess which aspects of the illness cause the participant the most problems in daily life. There is no score on a scale to communicate the scale title.
12 Months
Secondary Change in patient reported outcome measured by the EQ-5D-5L questionnaire In patients recovering from COVID-19 disease:
Change in patient reported outcome measures collected to assess breathlessness and its effect on overall health and daily life assessed by the EQ-5D-5L questionnaire. Two main sections provide the opportunity to capture statements best describing a participant's daily health and a scale form 0 to 100 capturing self-reported health stats. (100 being the best health imaginable and vice versa)
12 Months
Secondary Degree of change in liver MR-derived biomarkers In patients recovering from COVID-19 disease:
Difference from Baseline in degree of change in liver MR-derived biomarkers with and without known genetic variants associated with liver disease (e.g., PNPLA3) using a paired t-test (or non-parametric alternative)
12 Months
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