Chest Pain Clinical Trial
Official title:
Observational Registry of Ischemia Negative Chest Pain as the Presentation of Underlying Myocarditis: the ORCHESTRATE-Myocarditis Registry
A retrospective, observational study consisting of patients who presents with typical/atypical chest pain and have an ensuing negative ischemic evaluation
Status | Not yet recruiting |
Enrollment | 382 |
Est. completion date | May 2022 |
Est. primary completion date | March 2022 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion criteria 1. Age >18 years 2. Patients with a presentation of typical or atypical chest pain (ICD-10 Code R07.89, R07. 9) 3. Patients with a negative ischemic workup: (including Coronary Artery Calcium Scoring/CTA, MPI, Nuclear Stress test, LHC/angiography showing anything greater than "non-obstructive CAD") Exclusion criteria 1. Patients with any evidence of positive ischemic workup as the cause of typical/atypical chest pain (as seen on Coronary Artery Calcium Scoring/CTA, MPI, Nuclear Stress test, LHC/angiography) 2. Previously documented history of Prinzmetal angina or coronary vasospasm 3. History of prior myocardial infarction 4. History of any prior CAD with severity greater than "non-obstructive CAD" in all 3 coronary arteries 5. History of LVEF<40% 6. Previously documented history of pericarditis 7. Previously documented history of costochondritis |
Country | Name | City | State |
---|---|---|---|
United States | Texas Cardiac Arrhythmia Institute at St. David's Medical Center | Austin | Texas |
United States | Montefiore Medical Center | Bronx | New York |
United States | Loma Linda University International Heart Institute | Loma Linda | California |
United States | Kansas City Heart Rhythm Institute | Overland Park | Kansas |
Lead Sponsor | Collaborator |
---|---|
Kansas City Heart Rhythm Research Foundation | Kansas City Heart Rhythm Institute, Loma Linda University International Heart Institute, Montefiore Medical Center, Texas Cardiac Arrhythmia Research Foundation |
United States,
Caforio AL, Pankuweit S, Arbustini E, Basso C, Gimeno-Blanes J, Felix SB, Fu M, Heliö 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. — View Citation
Heymans S, Eriksson U, Lehtonen J, Cooper LT Jr. The Quest for New Approaches in Myocarditis and Inflammatory Cardiomyopathy. J Am Coll Cardiol. 2016 Nov 29;68(21):2348-2364. doi: 10.1016/j.jacc.2016.09.937. Review. — View Citation
Karamitsos TD, Arvanitaki A, Karvounis H, Neubauer S, Ferreira VM. Myocardial Tissue Characterization and Fibrosis by Imaging. JACC Cardiovasc Imaging. 2020 May;13(5):1221-1234. doi: 10.1016/j.jcmg.2019.06.030. Epub 2019 Sep 18. Review. — View Citation
Kindermann I, Barth C, Mahfoud F, Ukena C, Lenski M, Yilmaz A, Klingel K, Kandolf R, Sechtem U, Cooper LT, Böhm M. Update on myocarditis. J Am Coll Cardiol. 2012 Feb 28;59(9):779-92. doi: 10.1016/j.jacc.2011.09.074. Review. — View Citation
Kytö V, Sipilä J, Rautava P. Acute myocardial infarction or acute myocarditis? Discharge registry-based study of likelihood and associated features in hospitalised patients. BMJ Open. 2015 May 25;5(5):e007555. doi: 10.1136/bmjopen-2014-007555. — View Citation
Tornvall P, Gerbaud E, Behaghel A, Chopard R, Collste O, Laraudogoitia E, Leurent G, Meneveau N, Montaudon M, Perez-David E, Sörensson P, Agewall S. Myocarditis or "true" infarction by cardiac magnetic resonance in patients with a clinical diagnosis of myocardial infarction without obstructive coronary disease: A meta-analysis of individual patient data. Atherosclerosis. 2015 Jul;241(1):87-91. doi: 10.1016/j.atherosclerosis.2015.04.816. Epub 2015 May 1. Review. — View Citation
Vágó H, Szabó L, Dohy Z, Czimbalmos C, Tóth A, Suhai FI, Bárczi G, Gyarmathy VA, Becker D, Merkely B. Early cardiac magnetic resonance imaging in troponin-positive acute chest pain and non-obstructed coronary arteries. Heart. 2020 Jul;106(13):992-1000. doi: 10.1136/heartjnl-2019-316295. Epub 2020 May 23. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Number of patients with unrecognized and underlying myocarditis | To quantify the number of patients with unrecognized and underlying myocarditis as a presentation of typical and atypical chest pain followed by a negative ischemic workup. | 1/2014 - 1/2022 | |
Secondary | Association of baseline characteristics or comorbidities with myocarditis | Identification of underlying baseline characteristics or comorbidities that have a greater association with myocarditis presenting as typical/atypical chest pain | 1/2014 - 1/2022 | |
Secondary | Morbidity/mortality | Assessment morbidity/mortality in this population | 1/2014 - 1/2022 | |
Secondary | Diagnostic timing for imaging modalities | Identification of most appropriate diagnostic timing for imaging modalities such as CMRI, FDG PET, speckle tracking echocardiography to diagnose myocarditis after initial negative ischemic workup | 1/2014 - 1/2022 | |
Secondary | Comparison of specific imaging modalities | Comparison of specific imaging modalities (CMRI vs FDG-PET vs speckle tracking echocardiography) and their diagnostic accuracy for myocarditis | 1/2014 - 1/2022 | |
Secondary | Imaging parameters that provide best diagnostic accuracy | Identification of specific imaging parameters on CMRI or PET imaging (late gadolinium enhancement, global dissynchrony measurements, global longitudinal strain, FDG uptake, etc) provide best diagnostic accuracy | 1/2014 - 1/2022 | |
Secondary | Imaging parameters that provide best outcome prediction for morbidity/mortality | Identification of specific imaging parameters on CMRI or PET imaging (late gadolinium enhancement, global dissynchrony measurements, global longitudinal strain, FDG uptake, etc) provide best outcome prediction for morbidity/mortality. | 1/2014 - 1/2022 |
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