10 research outputs found

    A Novel Clinical and Stress Cardiac Magnetic Resonance (C-CMR-10) Score to Predict Long-Term All-Cause Mortality in Patients with Known or Suspected Chronic Coronary Syndrome

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    [EN] Vasodilator stress cardiac magnetic resonance (stressCMR) has shown robust diagnostic and prognostic value in patients with known or suspected chronic coronary syndrome (CCS). However, it is unknown whether integration of stressCMR with clinical variables in a simple clinical-imaging score can straightforwardly predict all-cause mortality in this population. We included 6187 patients in a large registry that underwent stressCMR for known or suspected CCS. Several clinical and stressCMR variables were collected, such as left ventricular ejection fraction (LVEF) and ischemic burden (number of segments with stress-induced perfusion defects (PD)). During a median follow-up of 5.56 years, we registered 682 (11%) all-cause deaths. The only independent predictors of all-cause mortality in multivariable analysis were age, male sex, diabetes mellitus (DM), LVEF and ischemic burden. Based on the weight of the chi-square increase at each step of the multivariable analysis, we created a simple clinical-stressCMR (C-CMR-10) score that included these variables (age >= 65 years = 3 points, LVEF 5 segments = 1 point). This 0 to 10 points C-CMR-10 score showed good performance to predict all-cause annualized mortality rate ranging from 0.29%/year (score = 0) to >4.6%/year (score >= 7). The goodness of the model and of the C-CMR-10 score was separately confirmed in 2 internal cohorts (n> 3000 each). We conclude that a novel and simple clinical-stressCMR score, which includes clinical and stressCMR variables, can provide robust prediction of the risk of long-term all-cause mortality in a population of patients with known or suspected CCS.This work was supported by the Instituto de Salud Carlos III and co-funded by Fondo Europeo de Desarrollo Regional (FEDER) (grant numbers PI17/01836 and CIBERCV16/11/00486).Marcos-Garces, V.; Gavara-Doñate, J.; Monmeneu-Menadas, JV.; Lopez-Lereu, MP.; Pérez, N.; Rios-Navarro, C.; De Dios, E.... (2020). A Novel Clinical and Stress Cardiac Magnetic Resonance (C-CMR-10) Score to Predict Long-Term All-Cause Mortality in Patients with Known or Suspected Chronic Coronary Syndrome. Journal of Clinical Medicine. 9(6):1-13. https://doi.org/10.3390/jcm9061957S11396Hendel, R. C., Friedrich, M. G., Schulz-Menger, J., Zemmrich, C., Bengel, F., Berman, D. S., … Nagel, E. (2016). CMR First-Pass Perfusion for Suspected Inducible Myocardial Ischemia. JACC: Cardiovascular Imaging, 9(11), 1338-1348. doi:10.1016/j.jcmg.2016.09.010Chang, S.-A., & Kim, R. J. (2016). The Use of Cardiac Magnetic Resonance in Patients with Suspected Coronary Artery Disease: A Clinical Practice Perspective. Journal of Cardiovascular Ultrasound, 24(2), 96. doi:10.4250/jcu.2016.24.2.96Kiaos, A., Tziatzios, I., Hadjimiltiades, S., Karvounis, C., & Karamitsos, T. D. (2018). Diagnostic performance of stress perfusion cardiac magnetic resonance for the detection of coronary artery disease. International Journal of Cardiology, 252, 229-233. doi:10.1016/j.ijcard.2017.11.066Li, M., Zhou, T., Yang, L., Peng, Z., Ding, J., & Sun, G. (2014). Diagnostic Accuracy of Myocardial Magnetic Resonance Perfusion to Diagnose Ischemic Stenosis With Fractional Flow Reserve as Reference. JACC: Cardiovascular Imaging, 7(11), 1098-1105. doi:10.1016/j.jcmg.2014.07.011Siontis, G. C., Mavridis, D., Greenwood, J. P., Coles, B., Nikolakopoulou, A., Jüni, P., … Windecker, S. (2018). Outcomes of non-invasive diagnostic modalities for the detection of coronary artery disease: network meta-analysis of diagnostic randomised controlled trials. BMJ, k504. doi:10.1136/bmj.k504Nagel, E., Greenwood, J. P., McCann, G. P., Bettencourt, N., Shah, A. M., Hussain, S. T., … Berry, C. (2019). Magnetic Resonance Perfusion or Fractional Flow Reserve in Coronary Disease. New England Journal of Medicine, 380(25), 2418-2428. doi:10.1056/nejmoa1716734Siontis, G. C., Branca, M., Serruys, P., Silber, S., Räber, L., Pilgrim, T., … Hunziker, L. (2019). Impact of left ventricular function on clinical outcomes among patients with coronary artery disease. European Journal of Preventive Cardiology, 26(12), 1273-1284. doi:10.1177/2047487319841939Buckert, D., Kelle, S., Buss, S., Korosoglou, G., Gebker, R., Birkemeyer, R., … Bernhardt, P. (2016). Left ventricular ejection fraction and presence of myocardial necrosis assessed by cardiac magnetic resonance imaging correctly risk stratify patients with stable coronary artery disease: a multi-center all-comers trial. Clinical Research in Cardiology, 106(3), 219-229. doi:10.1007/s00392-016-1042-5Catalano, O., Moro, G., Perotti, M., Frascaroli, M., Ceresa, M., Antonaci, S., … Priori, S. G. (2012). Late gadolinium enhancement by cardiovascular magnetic resonance is complementary to left ventricle ejection fraction in predicting prognosis of patients with stable coronary artery disease. Journal of Cardiovascular Magnetic Resonance, 14(1). doi:10.1186/1532-429x-14-29Lipinski, M. J., McVey, C. M., Berger, J. S., Kramer, C. M., & Salerno, M. (2013). Prognostic Value of Stress Cardiac Magnetic Resonance Imaging in Patients With Known or Suspected Coronary Artery Disease. Journal of the American College of Cardiology, 62(9), 826-838. doi:10.1016/j.jacc.2013.03.080Gargiulo, P., Dellegrottaglie, S., Bruzzese, D., Savarese, G., Scala, O., Ruggiero, D., … Filardi, P. P. (2013). The Prognostic Value of Normal Stress Cardiac Magnetic Resonance in Patients With Known or Suspected Coronary Artery Disease. Circulation: Cardiovascular Imaging, 6(4), 574-582. doi:10.1161/circimaging.113.000035Kwong, R. Y., Ge, Y., Steel, K., Bingham, S., Abdullah, S., Fujikura, K., … Simonetti, O. P. (2019). Cardiac Magnetic Resonance Stress Perfusion Imaging for Evaluation of Patients With Chest Pain. Journal of the American College of Cardiology, 74(14), 1741-1755. doi:10.1016/j.jacc.2019.07.074Marcos-Garces, V., Gavara, J., Monmeneu, J. V., Lopez-Lereu, M. P., Bosch, M. J., Merlos, P., … Bodi, V. (2020). Vasodilator Stress CMR and All-Cause Mortality in Stable Ischemic Heart Disease. JACC: Cardiovascular Imaging, 13(8), 1674-1686. doi:10.1016/j.jcmg.2020.02.027Heitner, J. F., Kim, R. J., Kim, H. W., Klem, I., Shah, D. J., Debs, D., … Judd, R. M. (2019). Prognostic Value of Vasodilator Stress Cardiac Magnetic Resonance Imaging. JAMA Cardiology, 4(3), 256. doi:10.1001/jamacardio.2019.0035Bodi, V., Sanchis, J., Lopez-Lereu, M. P., Nunez, J., Mainar, L., Monmeneu, J. V., … Llacer, A. (2007). Prognostic Value of Dipyridamole Stress Cardiovascular Magnetic Resonance Imaging in Patients With Known or Suspected Coronary Artery Disease. Journal of the American College of Cardiology, 50(12), 1174-1179. doi:10.1016/j.jacc.2007.06.016Bodi, V., Husser, O., Sanchis, J., Núñez, J., Monmeneu, J. V., López-Lereu, M. P., … Llacer, Á. (2012). Prognostic Implications of Dipyridamole Cardiac MR Imaging: A Prospective Multicenter Registry. Radiology, 262(1), 91-100. doi:10.1148/radiol.11110134Ponikowski, P., Voors, A. A., Anker, S. D., Bueno, H., Cleland, J. G. F., Coats, A. J. S., … van der Meer, P. (2016). 2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure. European Heart Journal, 37(27), 2129-2200. doi:10.1093/eurheartj/ehw128Marschner, I. C., Colquhoun, D., Simes, R. J., Glasziou, P., Harris, P., Singh, B. B., … Tonkin, A. (2001). Long-term risk stratification for survivors of acute coronary syndromes. Journal of the American College of Cardiology, 38(1), 56-63. doi:10.1016/s0735-1097(01)01360-2Knuuti, J., Wijns, W., Saraste, A., Capodanno, D., Barbato, E., Funck-Brentano, C., … Cuisset, T. (2019). 2019 ESC Guidelines for the diagnosis and management of chronic coronary syndromes. European Heart Journal, 41(3), 407-477. doi:10.1093/eurheartj/ehz425Klem, I., Shah, D. J., White, R. D., Pennell, D. J., van Rossum, A. C., Regenfus, M., … Kim, R. J. (2011). Prognostic Value of Routine Cardiac Magnetic Resonance Assessment of Left Ventricular Ejection Fraction and Myocardial Damage. Circulation: Cardiovascular Imaging, 4(6), 610-619. doi:10.1161/circimaging.111.964965Grothues, F., Smith, G. C., Moon, J. C. ., Bellenger, N. G., Collins, P., Klein, H. U., & Pennell, D. J. (2002). Comparison of interstudy reproducibility of cardiovascular magnetic resonance with two-dimensional echocardiography in normal subjects and in patients with heart failure or left ventricular hypertrophy. The American Journal of Cardiology, 90(1), 29-34. doi:10.1016/s0002-9149(02)02381-0Timmis, A., Raharja, A., Archbold, R. A., & Mathur, A. (2018). Validity of inducible ischaemia as a surrogate for adverse outcomes in stable coronary artery disease. Heart, 104(21), 1733-1738. doi:10.1136/heartjnl-2018-313230Pontone, G., Andreini, D., Bertella, E., Loguercio, M., Guglielmo, M., Baggiano, A., … Masci, P. G. (2015). Prognostic value of dipyridamole stress cardiac magnetic resonance in patients with known or suspected coronary artery disease: a mid-term follow-up study. European Radiology, 26(7), 2155-2165. doi:10.1007/s00330-015-4064-xHeydari, B., Juan, Y.-H., Liu, H., Abbasi, S., Shah, R., Blankstein, R., … Kwong, R. Y. (2016). Stress Perfusion Cardiac Magnetic Resonance Imaging Effectively Risk Stratifies Diabetic Patients With Suspected Myocardial Ischemia. Circulation: Cardiovascular Imaging, 9(4). doi:10.1161/circimaging.115.004136Vincenti, G., Masci, P. G., Monney, P., Rutz, T., Hugelshofer, S., Gaxherri, M., … Schwitter, J. (2017). Stress Perfusion CMR in Patients With Known and Suspected CAD. JACC: Cardiovascular Imaging, 10(5), 526-537. doi:10.1016/j.jcmg.2017.02.006Buckert, D., Cieslik, M., Tibi, R., Radermacher, M., Rottbauer, W., & Bernhardt, P. (2017). Cardiac magnetic resonance imaging derived quantification of myocardial ischemia and scar improves risk stratification and patient management in stable coronary artery disease. Cardiology Journal, 24(3), 293-304. doi:10.5603/cj.a2017.0036Zemrak, F., & Petersen, S. E. (2011). Late Gadolinium Enhancement CMR Predicts Adverse Cardiovascular Outcomes and Mortality in Patients With Coronary Artery Disease: Systematic Review and Meta-Analysis. Progress in Cardiovascular Diseases, 54(3), 215-229. doi:10.1016/j.pcad.2011.07.003El Aidi, H., Adams, A., Moons, K. G. M., Den Ruijter, H. M., Mali, W. P. T. M., Doevendans, P. A., … Leiner, T. (2014). Cardiac Magnetic Resonance Imaging Findings and the Risk of Cardiovascular Events in Patients With Recent Myocardial Infarction or Suspected or Known Coronary Artery Disease. Journal of the American College of Cardiology, 63(11), 1031-1045. doi:10.1016/j.jacc.2013.11.048Fox, K. A. A., Metra, M., Morais, J., & Atar, D. (2019). The myth of ‘stable’ coronary artery disease. Nature Reviews Cardiology, 17(1), 9-21. doi:10.1038/s41569-019-0233-ySchiele, F., Ecarnot, F., & Chopard, R. (2017). Coronary artery disease: Risk stratification and patient selection for more aggressive secondary prevention. European Journal of Preventive Cardiology, 24(3_suppl), 88-100. doi:10.1177/2047487317706586Fordyce, C. B., Douglas, P. S., Roberts, R. S., Hoffmann, U., Al-Khalidi, H. R., … Patel, M. R. (2017). Identification of Patients With Stable Chest Pain Deriving Minimal Value From Noninvasive Testing. JAMA Cardiology, 2(4), 400. doi:10.1001/jamacardio.2016.5501Papireddy, M. R., Lavie, C. J., Deoker, A., Mamudu, H., & Paul, T. K. (2018). New Algorithm for the Prediction of Cardiovascular Risk in Symptomatic Adults with Stable Chest Pain. Current Cardiology Reports, 20(5). doi:10.1007/s11886-018-0973-

    Head-to-head comparison of 1 week versus 6 months CMR-derived infarct size for prediction of late events after STEMI

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    Infarct size (IS) at 1 week after ST-elevation myocardial infarction (MI) diminishes during the first months. The incremental prognostic value of IS regression and of scar size (SS) at 6 months is unknown. We compared cardiovascular magnetic resonance (CMR)-derived IS at 1 week and SS at 6 months after MI for predicting late major adverse cardiac events (MACE). 250 patients underwent CMR at 1 week and 6 months after MI. IS and SS were determined as the extent of transmural late enhancement (in > 50 % of wall thickness, ETLE). During 163 weeks, 23 late MACE (cardiac death, MI or readmission for heart failure after the 6 months CMR) occurred. Patients with MACE had a larger IS at 1 week (6 [4-9] vs. 3 [1-5], p median were higher at 1 week (14 vs. 4 %, p = .007) and in SS > median at 6 months (12 vs. 5 %, p = .053). The C-statistic for predicting late MACE of CMR at 1 week and 6 months was comparable (.720 vs. .746, p = .1). Only ETLE at 1 week (HR 1.31 95 % CI [1.14-1.52], p < .0001, per segment) independently predicted late MACE. CMR-derived SS at 6 months does not offer prognostic value beyond IS at 1 week after MI. The strongest predictor of late MACE is ETLE at 1 week.y This work was supported by the "Instituto de Salud Carlos III" (PI1102323 grant). O. Husser was supported by the "Regensburger Forschungsforderung in der Medizin (ReForM)".Husser, O.; Monmeneu Menadas, JV.; Bonanad, C.; Gomez, C.; Chaustre, F.; Nuñez, J.; López Lereu, MP.... (2013). Head-to-head comparison of 1 week versus 6 months CMR-derived infarct size for prediction of late events after STEMI. International Journal of Cardiovascular Imaging. 29(7):1499-1509. https://doi.org/10.1007/s10554-013-0239-1S14991509297Perazzolo Marra M, Lima JA, Iliceto S (2011) MRI in acute myocardial infarction. 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    Poster session Thursday 12 December - PM: 12/12/2013, 14:00-18:00 Location: Poster area

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    2014 AHA/ACC Guideline for the Management of Patients With Valvular Heart Disease: Executive Summary

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    2014 AHA/ACC guideline for the management of patients with valvular heart disease

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    2014 AHA/ACC Guideline for the Management of Patients With Valvular Heart Disease

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