Multimodality Imaging in the Screening, Diagnosis and Risk StratifictiON of HFpEF
NCT ID: NCT04603404
Last Updated: 2022-11-08
Study Results
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Basic Information
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RECRUITING
430 participants
OBSERVATIONAL
2019-01-01
2030-12-31
Brief Summary
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Detailed Description
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Cardiac Magnetic Resonance imaging (CMR) is a non-invasive "one-stop" examination, including cardiac structure, function, tissue characteristics, blood perfusion examination. In particular, the emerging T1 mapping and Feature Tracking (FT) techniques enable the early and quantitive identification of cardiac dysfunction prior to abnormal LVEF. It has been found that the Extracellular Volume Fraction (ECV) based on T1 mapping and the myocardial strain parameters based on FT have the ability to diagnose and predict the prognosis of HFpEF patients. Echocardiography takes advantages in early identification of HFpEF patients and reveals the diastolic dysfunction. Nuclear medicine imaging shows priorities in blood perfusion and myocardial viability verification. Magnetic resonance imaging - echocardiography - nuclear medicine multimodal imaging complements and promotes each other, for example, molecular nuclear medicine imaging (recognition of metabolism), echocardiography (primary selection and determination of diastolic dysfunction), as well as the noninvasive high-resolution magnetic resonance and new emerging molecular imaging (identification of macroscopic, microscopic structure and function). The multimodel imaging overcomes the limits of single imaging method, greatly improves the accuracy of early diagnosis ability. However, large studies are based on small samples, and the comprehensive markers derived from large-scale study are lacked. Domestic relevant studies are in the initial stage.
To sum up, this study attempts to achieve early diagnosis and intervention of HFpEF and improve life quality of HFpEF patients through a large-scale study based on multimodel imaging (CMR imaging, echocardiography, nuclear medicine imaging). This study is expected to deepen the understanding of the pathogenesis and pathophysiological characteristic of HFpEF, providing a set of parameters based on multimodel imaging. Hence, assisting in early identification of cardiac structure and function change, early diagnosis of HFpEF and achieving risk stratification. In other way, the marker derived from this study may help target treatment of HFpEF.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
* N-terminal pro-b type natriuretic peptide (NT-proBNP)\>220pg/ml or b type natriuretic peptide (BNP) \>80 pg/ml;
* symptoms and syndromes of heart failure;
* At least one criteria of cardiac structure (left ventricular hypertrophy, or left atrial enlargement) and function abnormalities (based on tissue doppler, color doppler).
Exclusion Criteria
* Infarction, myocardial fibrosis caused by ischemic cardiomyopathy and acute coronary syndrome ;
* Severe arrhythmia;
* Severe primary cardiac valvular disease;
* Restrictive pericardial disease;
* Refuse to participate in the study.
ALL
Yes
Sponsors
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Chinese Academy of Medical Sciences, Fuwai Hospital
OTHER
Responsible Party
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Minjie Lu
Vice Director of Magnetic Resonance Imaging
Principal Investigators
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Minjie Lu, PhD
Role: PRINCIPAL_INVESTIGATOR
Fuwai Hospital, National Center for Cardiovascular Diseases.
Locations
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Fuwai Hospital
Beijing, Beijing Municipality, China
Countries
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Central Contacts
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Facility Contacts
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References
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Campbell RT, McMurray JJ. Comorbidities and differential diagnosis in heart failure with preserved ejection fraction. Heart Fail Clin. 2014 Jul;10(3):481-501. doi: 10.1016/j.hfc.2014.04.009.
Shah SJ, Kitzman DW, Borlaug BA, van Heerebeek L, Zile MR, Kass DA, Paulus WJ. Phenotype-Specific Treatment of Heart Failure With Preserved Ejection Fraction: A Multiorgan Roadmap. Circulation. 2016 Jul 5;134(1):73-90. doi: 10.1161/CIRCULATIONAHA.116.021884.
Altara R, Giordano M, Norden ES, Cataliotti A, Kurdi M, Bajestani SN, Booz GW. Targeting Obesity and Diabetes to Treat Heart Failure with Preserved Ejection Fraction. Front Endocrinol (Lausanne). 2017 Jul 17;8:160. doi: 10.3389/fendo.2017.00160. eCollection 2017.
De Keulenaer GW, Brutsaert DL. Systolic and diastolic heart failure: different phenotypes of the same disease? Eur J Heart Fail. 2007 Feb;9(2):136-43. doi: 10.1016/j.ejheart.2006.05.014. Epub 2006 Aug 1.
Guazzi M. Pulmonary hypertension in heart failure preserved ejection fraction: prevalence, pathophysiology, and clinical perspectives. Circ Heart Fail. 2014 Mar 1;7(2):367-77. doi: 10.1161/CIRCHEARTFAILURE.113.000823. No abstract available.
Simmonds SJ, Cuijpers I, Heymans S, Jones EAV. Cellular and Molecular Differences between HFpEF and HFrEF: A Step Ahead in an Improved Pathological Understanding. Cells. 2020 Jan 18;9(1):242. doi: 10.3390/cells9010242.
Loai S, Cheng HM. Heart failure with preserved ejection fraction: the missing pieces in diagnostic imaging. Heart Fail Rev. 2020 Mar;25(2):305-319. doi: 10.1007/s10741-019-09836-8.
Marwick TH, Shah SJ, Thomas JD. Myocardial Strain in the Assessment of Patients With Heart Failure: A Review. JAMA Cardiol. 2019 Mar 1;4(3):287-294. doi: 10.1001/jamacardio.2019.0052.
Su MY, Lin LY, Tseng YH, Chang CC, Wu CK, Lin JL, Tseng WY. CMR-verified diffuse myocardial fibrosis is associated with diastolic dysfunction in HFpEF. JACC Cardiovasc Imaging. 2014 Oct;7(10):991-7. doi: 10.1016/j.jcmg.2014.04.022. Epub 2014 Sep 17.
Harinstein ME, Soman P. Radionuclide Imaging Applications in Cardiomyopathies and Heart Failure. Curr Cardiol Rep. 2016 Mar;18(3):23. doi: 10.1007/s11886-016-0699-8.
Recommendations for Cardiac Chamber Quantification by Echocardiography in Adults: An Update from the American Society of Echocardiography and the European Association of, Cardiovascular Imaging. Eur Heart J Cardiovasc Imaging. 2016 Apr;17(4):412. doi: 10.1093/ehjci/jew041. Epub 2016 Mar 15. No abstract available.
Schnelle M, Catibog N, Zhang M, Nabeebaccus AA, Anderson G, Richards DA, Sawyer G, Zhang X, Toischer K, Hasenfuss G, Monaghan MJ, Shah AM. Echocardiographic evaluation of diastolic function in mouse models of heart disease. J Mol Cell Cardiol. 2018 Jan;114:20-28. doi: 10.1016/j.yjmcc.2017.10.006. Epub 2017 Oct 19.
Other Identifiers
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MISSION-HFpEF
Identifier Type: -
Identifier Source: org_study_id
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