35 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-

    Incidence, Outcomes, and Predictors of Ventricular Thrombus after Reperfused ST-Segment-Elevation Myocardial Infarction by Using Sequential Cardiac MR Imaging

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    [EN] Purpose: To characterize the incidence, outcomes, and predictors of left ventricular (LV) thrombus by using sequential cardiac magnetic resonance (MR) imaging after ST-segment-elevation myocardial infarction (STEMI). Materials and Methods: Written informed consent was obtained from all patients, and the study protocol was approved by the committee on human research. In a cohort of 772 patients with STEMI, 392 (mean age, 58 years; range, 24-89 years) were retrospectively selected who were studied with cardiac MR imaging at 1 week and 6 months. Cardiac MR imaging guided the initiation and withdrawal of anticoagulants. Patients with LV thrombus at 6 months were restudied at 1 year. For predicting the occurrence of LV thrombus, a multiple regression model was applied. Results: LV thrombus was detected in 27 of 392 patients (7%): 18 (5%) at 1 week and nine (2%) at 6 months. LV thrombus resolved in 22 of 25 patients (88%) restudied within the first year. During a mean follow-up of 181 weeks 6 168, patients with LV thrombus displayed a very low rate of stroke (0%), peripheral embolism (0%), and severe hemorrhage (n = 1, 3.7%). LV ejection fraction (LVEF) less than 50% (P < .001) and anterior infarction (P = .008) independently helped predict LV thrombus. The incidence of LV thrombus was as follows: (a) nonanterior infarction, LVEF 50% or greater (one of 135, 1%); (b) nonanterior infarction, LVEF less than 50% (one of 50, 2%); (c) anterior infarction, LVEF 50% or greater (two of 92, 2%); and (d) anterior infarction, LVEF less than 50% (23 of 115, 20%) (P < .001 for the trend). Conclusion: Cardiac MR imaging contributes information for the diagnosis and therapy of LV thrombus after STEMI. Patients with simultaneous anterior infarction and LVEF less than 50% are at highest risk. (C) RSNA, 2017Study supported by Instituto de Salud Carlos III and FEDER (CB16/11/00486, PI14/00271, PIE15/00013) and Generalitat Valenciana (PROMETEO/2013/007).Cambronero-Cortinas, E.; Bonanad, C.; Monmeneu, J.; López-Lereu, M.; Gavara-Doñate, J.; De Dios, E.; Rios, C.... (2017). Incidence, Outcomes, and Predictors of Ventricular Thrombus after Reperfused ST-Segment-Elevation Myocardial Infarction by Using Sequential Cardiac MR Imaging. Radiology. 284(2):372-380. https://doi.org/10.1148/radiol.2017161898S372380284

    Magnetic resonance microscopy and correlative histopathology of the infarcted heart

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    Altres ajuts:The present study was supported by the EU Joint Programming Initiative 'A Healthy Diet for a Healthy Life' (JPI HDHL INTIMIC-085), Generalitat Valenciana (GV/2018/116), INCLIVA and Universitat de Valencia (program VLC-BIOCLINIC 20-nanomIRM-2016A).Delayed enhancement cardiovascular magnetic resonance (MR) is the gold-standard for non-invasive assessment after myocardial infarction (MI). MR microscopy (MRM) provides a level of detail comparable to the macro objective of light microscopy. We used MRM and correlative histopathology to identify infarct and remote tissue in contrast agent-free multi-sequence MRM in swine MI hearts. One control group (n = 3 swine) and two experimental MI groups were formed: 90 min of ischemia followed by 1 week (acute MI = 6 swine) or 1 month (chronic MI = 5 swine) reperfusion. Representative samples of each heart were analysed by contrast agent-free multi-sequence (T1-weighting, T2-weighting, T2*-weighting, T2-mapping, and T2*-mapping). MRM was performed in a 14-Tesla vertical axis imager (Bruker-AVANCE 600 system). Images from MRM and the corresponding histopathological stained samples revealed differences in signal intensities between infarct and remote areas in both MI groups (p-value < 0.001). The multivariable models allowed us to precisely classify regions of interest (acute MI: specificity 92% and sensitivity 80%; chronic MI: specificity 100% and sensitivity 98%). Probabilistic maps based on MRM images clearly delineated the infarcted regions. As a proof of concept, these results illustrate the potential of MRM with correlative histopathology as a platform for exploring novel contrast agent-free MR biomarkers after MI

    Cardiac magnetic resonance outperforms echocardiography to predict subsequent implantable cardioverter defibrillator therapies in ST-segment elevation myocardial infarction patients

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    Altres ajuts: Conselleria de Educación-Generalitat Valenciana (PROMETEO/2021/008); Sociedad Española de Cardiología (Grant SEC/FEC-INVCLI 21/024)Implantable cardioverter defibrillators (ICD) are effective as a primary prevention measure of ventricular tachyarrhythmias in patients with ST-segment elevation myocardial infarction (STEMI) and depressed left ventricular ejection fraction (LVEF). The implications of using cardiac magnetic resonance (CMR) instead of echocardiography (Echo) to assess LVEF prior to the indication of ICD in this setting are unknown. We evaluated 52 STEMI patients (56.6 ± 11 years, 88.5% male) treated with ICD in primary prevention who underwent echocardiography and CMR prior to ICD implantation. ICD implantation was indicated based on the presence of heart failure and depressed LVEF (≤ 35%) by echocardiography, CMR, or both. Prediction of ICD therapies (ICD-T) during follow-up by echocardiography and CMR before ICD implantation was assessed. Compared to echocardiography, LVEF was lower by cardiac CMR (30.2 ± 9% vs. 37.4 ± 7.6%, p < 0.001). LVEF ≤ 35% was detected in 24 patients (46.2%) by Echo and in 42 (80.7%) by CMR. During a mean follow-up of 6.1 ± 4.2 years, 10 patients received appropriate ICD-T (3.16 ICD-T per 100 person-years): 5 direct shocks to treat very fast ventricular tachycardia or ventricular fibrillation, 3 effective antitachycardia pacing (ATP) for treatment of ventricular tachycardia, and 2 ineffective ATP followed by shock to treat ventricular tachycardia. Echo-LVEF ≤ 35% correctly predicted ICD-T in 4/10 (40%) patients and CMR-LVEF ≤ 35% in 10/10 (100%) patients. CMR-LVEF improved on Echo-LVEF for predicting ICD-T (area under the curve: 0.76 vs. 0.48, p = 0.04). In STEMI patients treated with ICD, assessment of LVEF by CMR outperforms Echo-LVEF to predict the subsequent use of appropriate ICD therapies

    Comparison of cardiac feature tracking and myocardial tagging for assessment of regional ventricular function

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    Type of funding source: Public grant(s) -National budget only. Main funding source(s): Carlos III Health Institute, Spanish Ministry of Economy and Competiveness; Agencia Valenciana de la Innovación, Generalitat ValencianaCanto Serrano, ID.; Tejero, P.; Lopez-Lereu, MP.; Monmeneu, JV.; Bodi, V.; Chorro, FJ.; Moratal, D. (2020). Comparison of cardiac feature tracking and myocardial tagging for assessment of regional ventricular function. Oxford University Press. 242-242. https://doi.org/10.1093/ehjci/ehaa946.0242S24224

    Characterization of ventricular function in infarcted myocardium and its border zones by cardiac tagged MRI

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    Del-Canto, I.; López-Lereu, MP.; Monmeneu, JV.; Ruiz-España, S.; Bodí, V.; Chorro, FJ.; Moratal, D. (2020). Characterization of ventricular function in infarcted myocardium and its border zones by cardiac tagged MRI. Springer Nature. 190-190. http://hdl.handle.net/10251/179204S19019

    Short-Term Changes in Left and Right Ventricular Cardiac Magnetic Resonance Feature Tracking Strain Following Ferric Carboxymaltose in Patients With Heart Failure: A Substudy of the Myocardial-IRON Trial

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    This is the peer reviewed version of the following article: Del Canto I, Santas E, Cardells I, Miñana G, Palau P, Llàcer P, Fácila L, López-Vilella R, Almenar L, Bodí V, López-Lereu MP, Monmeneu JV, Sanchis J, Moratal D, Maceira AM, de la Espriella R, Chorro FJ, Bayés-Genís A, Núñez J; Myocardial¿IRON Investigators. Short-Term Changes in Left and Right Ventricular Cardiac Magnetic Resonance Feature Tracking Strain Following Ferric Carboxymaltose in Patients With Heart Failure: A Substudy of the Myocardial-IRON Trial. J Am Heart Assoc. 2022 Apr 5;11(7):e022214. doi: 10.1161/JAHA.121.022214, which has been published in final form at https://doi.org/10.1161/jaha.121.022214. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.[EN] BACKGROUND: The mechanisms explaining the clinical benefits of ferric carboximaltose (FCM) in patients with heart failure, reduced or intermediate left ventricular ejection fraction, and iron deficiency remain not fully clarified. The Myocardial-IRON trial showed short-term cardiac magnetic resonance (CMR) changes suggesting myocardial iron repletion following administration of FCM but failed to find a significant increase in left ventricular ejection fraction in the whole sample. Conversely, the strain assessment could evaluate more specifically subtle changes in contractility. In this subanalysis, we aimed to evaluate the effect of FCM on the short-term left and right ventricular CMR feature tracking derived strain. METHODS AND RESULTS: This is a post hoc subanalysis of the double-blind, placebo-controlled, randomized clinical trial that enrolled 53 ambulatory patients with heart failure and left ventricular ejection fraction <50%, and iron deficiency [Myocardial-IRON trial (NCT03398681)]. Three-dimensional left and 2-dimensional right ventricular CMR tracking strain (longitudinal, circumferential, and radial) changes were evaluated before, 7 and 30 days after randomization using linear mixed-effect analysis. The median (interquartile range) age of the sample was 73 years (65-78), and 40 (75.5%) were men. At baseline, there were no significant differences in CMR feature tracking strain parameters across both treatment arms. At 7 days, the only global 3-dimensional left ventricular circumferential strain was significantly higher in the FCM treatment-arm (difference: -1.6%, P=0.001). At 30 days, and compared with placebo, global 3-dimensional left ventricular strain parameters significantly improved in those allocated to FCM treatment-arm [longitudinal (difference: -2.3%, P<0.001), circumferential (difference: -2.5%, P<0.001), and radial (difference: 4.2%, P=0.002)]. Likewise, significant improvements in global right ventricular strain parameters were found in the active arm at 30 days (longitudinal [difference: -3.3%, P=0.010], circumferential [difference: -4.5%, P<0.001], and radial [difference: 4.5%, P=0.027]). CONCLUSIONS: In patients with stable heart failure, left ventricular ejection fraction <50%, and iron deficiency, treatment with FCM was associated with short-term improvements in left and right ventricular function assessed by CMR feature tracking derived strain parameters.This work was supported in part by an unrestricted grant from Vifor Pharma, CIBER Cardiovascular [grant numbers 16/11/00420 and 16/11/00403], Unidad de Investigacion Clinica y Ensayos Clinicos INCLIVA Health Research Institute, Spanish Clinical Research Network (SCReN; PT13/0002/0031 and PT17/0017/0003), cofounded by Fondo Europeo de Desarrollo Regional-Instituto de Salud Carlos III, and Proyectos de Investigacion de la Seccion de Insuficiencia Cardiaca 2017 from Sociedad Espanola de Cardiologia.Del Canto Serrano, I.; Santas, E.; Cardells, I.; Miñana, G.; Palau, P.; Llàcer, P.; Fácila, L.... (2022). Short-Term Changes in Left and Right Ventricular Cardiac Magnetic Resonance Feature Tracking Strain Following Ferric Carboxymaltose in Patients With Heart Failure: A Substudy of the Myocardial-IRON Trial. Journal of the American Heart Association. 11(7):1-19. https://doi.org/10.1161/JAHA.121.02221411911
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