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16 results on '"Monmeneu, J.V"'

1. Sex differences on new-onset heart failure in patients with known or suspected chronic coronary syndrome

Author

Lorenzo Hernandez, M, primary, Nunez, J, additional, Minana, G, additional, Palau, P, additional, Lopez-Lereu, M.P, additional, Monmeneu, J.V, additional, Marcos, V, additional, Rios-Navarro, C, additional, Gavara, J, additional, Perez, N, additional, De Dios, E, additional, Nunez, G, additional, Nunez, E, additional, Chorro, F.J, additional, and Bodi, V, additional

Published
2021
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3. Prognostic value of vasodilator stress CMR in elderly patients with known or suspected chronic coronary syndrome

Author

Gabaldon-Perez, A, primary, Bonanad, C, additional, Marcos-Garces, V, additional, Gavara, J, additional, Merenciano-Gonzalez, H, additional, Nunez-Marin, G, additional, Lorenzo-Hernandez, M, additional, Perez, N, additional, Rios-Navarro, C, additional, De Dios, E, additional, Racugno, P, additional, Lopez-Lereu, M.P, additional, Monmeneu, J.V, additional, Chorro, F.J, additional, and Bodi, V, additional

Published
2020
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4. Risk stratification in patients discharged for STEMI. Ejection fraction by echocardiography as the gatekeeper for a selective use of cardiac magnetic resonance

Author

Marcos Garces, V, primary, Gavara, J, additional, Lopez-Lereu, M.P, additional, Monmeneu, J.V, additional, Rios-Navarro, C, additional, De Dios, E, additional, Merenciano-Gonzalez, H, additional, Gabaldon-Perez, A, additional, Bonanad, C, additional, Chorro, F.J, additional, Valente, F, additional, Lorenzatti, D, additional, Rodriguez-Palomares, J.F, additional, Ortiz, J.T, additional, and Bodi, V, additional

Published
2020
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5. A novel clinical and stress cardiac magnetic resonance score to predict long-term all-cause mortality in patients with known or suspected chronic coronary syndrome

Author

Marcos Garces, V, primary, Gavara, J, additional, Perez, N, additional, Rios-Navarro, C, additional, De Dios, E, additional, Gabaldon-Perez, A, additional, Merenciano-Gonzalez, H, additional, Racugno, P, additional, Bonanad, C, additional, Canoves, J, additional, Lopez-Fornas, F.J, additional, Lopez-Lereu, M.P, additional, Monmeneu, J.V, additional, Chorro, F.J, additional, and Bodi, V, additional

Published
2020
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6. Chest pain of unknown coronary origin: can exercise ECG testing contribute to long-term risk prediction on top of vasodilator stress cardiac magnetic resonance?

Author

Marcos Garces, V, primary, Merenciano-Gonzalez, H, additional, Gabaldon-Perez, A, additional, Nunez-Marin, G, additional, Lorenzo-Hernandez, M, additional, Gavara, J, additional, Perez, N, additional, Rios-Navarro, C, additional, De Dios, E, additional, Bonanad, C, additional, Racugno, P, additional, Lopez-Lereu, M.P, additional, Monmeneu, J.V, additional, Chorro, F.J, additional, and Bodi, V, additional

Published
2020
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7. Impact of the dynamics of ejection fraction on risk stratification in a large multicenter registry of STEMI patients using sequential CMR

Author

Marcos Garces, V, primary, Gavara, J, additional, Lopez-Lereu, M.P, additional, Monmeneu, J.V, additional, Rios-Navarro, C, additional, De Dios, E, additional, Merenciano-Gonzalez, H, additional, Gabaldon-Perez, A, additional, Bonanad, C, additional, Chorro, F.J, additional, Valente, F, additional, Lorenzatti, D, additional, Rodriguez-Palomares, J.F, additional, Ortiz, J.T, additional, and Bodi, V, additional

Published
2020
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8. Prognostic and therapeutic implications of dipyridamole stress cardiovascular magnetic resonance on the basis of the ischaemic cascade

Author

Bodi, V., Sanchis, J., Lopez-Lereu, M.P., Nunez, J., Mainar, L., Monmeneu, J.V., Ruiz, V., Rumiz, E., Husser, O., Moratal, D., Millet, J., Chorro, F.J., and Llacer, A.

Subjects
Dipyridamole -- Dosage and administration, Dipyridamole -- Research, Magnetic resonance imaging -- Usage, Magnetic resonance imaging -- Research, Myocardial ischemia -- Prognosis, Myocardial ischemia -- Research, Health
Published
2009

9. Texture analysis of cardiac cine magnetic resonance imaging to detect nonviable segments in patients with chronic myocardial infarction

Author

Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica, Generalitat Valenciana, Instituto de Salud Carlos III, European Regional Development Fund, Ministerio de Economía y Competitividad, Ministerio de Educación, Cultura y Deporte, Larroza, Andrés, López-Lereu, M.P., Monmeneu, J.V., Gavara-Doñate, Josep, Chorro, F.J., Bodi, V., Moratal, David, Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica, Generalitat Valenciana, Instituto de Salud Carlos III, European Regional Development Fund, Ministerio de Economía y Competitividad, Ministerio de Educación, Cultura y Deporte, Larroza, Andrés, López-Lereu, M.P., Monmeneu, J.V., Gavara-Doñate, Josep, Chorro, F.J., Bodi, V., and Moratal, David

Abstract

[EN] Purpose: To investigate the ability of texture analysis to differentiate between infarcted nonviable, viable, and remote segments on cardiac cine magnetic resonance imaging (MRI). Methods: This retrospective study included 50 patients suffering chronic myocardial infarction. The data were randomly split into training (30 patients) and testing (20 patients) sets. The left ventricular myocardium was segmented according to the 17-segment model in both cine and late gadolinium enhancement (LGE) MRI. Infarcted myocardium regions were identified on LGE in short-axis views. Nonviable segments were identified as those showing LGE 50%, and viable segments those showing 0 < LGE < 50% transmural extension. Features derived from five texture analysis methods were extracted from the segments on cine images. A support vector machine (SVM) classifier was trained with different combination of texture features to obtain a model that provided optimal classification performance. Results: The best classification on testing set was achieved with local binary patterns features using a 2D + t approach, in which the features are computed by including information of the time dimension available in cine sequences. The best overall area under the receiver operating characteristic curve (AUC) were: 0.849, sensitivity of 92% to detect nonviable segments, 72% to detect viable segments, and 85% to detect remote segments. Conclusion: Nonviable segments can be detected on cine MRI using texture analysis and this may be used as hypothesis for future research aiming to detect the infarcted myocardium by means of a gadolinium-free approach.

Published
2018

10. 5010Prognostic value of strain assessed by tissue tracking cardiovascular magnetic resonance soon after a first ST-segment elevation myocardial infarction

Author

Bonanad Lozano, C., primary, Rodriguez-Palomares, J.F., additional, Gavara, J., additional, Valente, F., additional, Monmeneu, J.V., additional, Ferreira, I., additional, Lopez-Lereu, M.P., additional, Rodriguez, J., additional, Evangelista, A., additional, Chorro, F.J., additional, Garcia-Dorado, D., additional, and Bodi, V., additional

Published
2017
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11. Incidence, Outcomes, and Predictors of Ventricular Thrombus after Reperfused ST-Segment-Elevation Myocardial Infarction by Using Sequential Cardiac MR Imaging

Author

Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica, Generalitat Valenciana, Instituto de Salud Carlos III, European Regional Development Fund, Cambronero-Cortinas, E., Bonanad, C., Monmeneu, J.V., López-Lereu, M.P., Gavara-Doñate, Josep, De Dios, E., Rios, C., Perez, N., Racugno, P., Paya, A., Escribano, D., Minana, G., Pellicer, M., Cànoves, J., Nunez, J., Chorro, F.J., Moratal, David, Bodi, V., Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica, Generalitat Valenciana, Instituto de Salud Carlos III, European Regional Development Fund, Cambronero-Cortinas, E., Bonanad, C., Monmeneu, J.V., López-Lereu, M.P., Gavara-Doñate, Josep, De Dios, E., Rios, C., Perez, N., Racugno, P., Paya, A., Escribano, D., Minana, G., Pellicer, M., Cànoves, J., Nunez, J., Chorro, F.J., Moratal, David, and Bodi, V.

Abstract

[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, 2017

Published
2017

15. Changes in Left Ventricular Filling Pattern During Dobutamine Stress Doppler Echocardiography.

Author

Bodı́, V., Sanchis, J., Cortés, J., Monmeneu, J.V., Marı́n, F., Llobet, E., and Llácer, A.

Subjects
LEFT heart ventricle diseases, DOBUTAMINE, DOPPLER echocardiography, CORONARY disease, HEART beat
Abstract

Aims: To study the left ventricular filling pattern during stress Doppler echocardiography and its utility in the detection of myocardial ischaemia.Methods and Results:Fifty-seven consecutive patients underwent dobutamine stress echocardiography. The left ventricular filling pattern (E-wave velocity; A-wave velocity; E/A ratio; E-wave deceleration time) was analysed at baseline and at maximum heart rate reached. The percentage increase in these parameters from baseline to peak heart rate was also determined. Myocardial ischaemia (regional contractility worsening) was induced in 19 cases (ischaemic group) but not in 38 cases (non-ischaemic group). There were no differences between both groups at baseline. E-wave deceleration time decreased in the non-ischaemic group (197±63 vs. 167±65 ms, P=0·01) and increased in the ischaemic group (203±42 vs. 315±135 ms, P<0·0001). A percentage increase in E-wave deceleration time of >30% showed a positive predictive value of 93% and a negative predictive value of 86% for detecting ischaemia, and in the multivariate analysis it was the only Doppler parameter (P<0·0001) that predicted the induction of ischaemia.Conclusion: We conclude that myocardial ischaemia provokes an increase in E-wave deceleration time. Analysis of left ventricular filling could help in the identification of those cases which are positive for ischaemia. [ABSTRACT FROM AUTHOR]

Published
2000

16. Abstracts

Author

Doulaptsis, C, Masci, PG, Goetschalckx, K, Janssens, S, Bogaert, J, Ferreira, VM, Piechnik, SK, DallArmellina, E, Karamitsos, TD, Francis, JM, Ntusi, N, Holloway, C, Choudhury, RP, Kardos, A, Robson, MD, Friedrich, MG, Neubauer, S, Miszalski-Jamka, T, Sokolowska, B, Szczeklik, W, Karwat, K, Miszalski-Jamka, K, Belzak, K, Malek, L, Mazur, W, Kereiakes, DJ, Jazwiec, P, Musial, J, Pedrotti, P, Masciocco, G, DAngelo, L, Milazzo, A, Quattrocchi, G, Zanotti, F, Frigerio, M, Roghi, A, Rimoldi, O, Kaasalainen, T, Kivistö, S, Holmström, M, Pakarinen, S, Hänninen, H, Sipilä, O, Lauerma, K, Banypersad, S.M, Fontana, M, Maestrini, V, Sado, D.M, Pinney, J, Wechalekar, A.D, Gillmore, J.D, Lachmann, H, Hawkins, P.N, Moon, J.C, Barone-Rochette, G, Pierard, S, Seldrum, S, de Ravensteen, CM, Melchior, J, Maes, F, Pouleur, A-C, Vancraeynest, D, Pasquet, A, Vanoverschelde, J-L, L Gerber, B, Captur, G, Muthurangu, V, Flett, AS, Wilson, R, Barison, A, Anderson, S, Cook, C, Sado, DM, McKenna, WJ, Mohun, TJ, Elliott, PM, Moon, JC, Pepe, A, Meloni, A, Gulino, L, Rossi, G, Paci, C, Spasisno, A, keilberg, P, Restaino, G, Resta, MC, Positano, V, lombardi, M, Reiter, U, Reiter, G, Kovacs, G, Schmidt, A, Olschewski, H, Fuchsjäger, M, Macmillan, A, Dabir, D, Rogers, T, Monaghan, M, Nagel, E, Puntmann, V, Semaan, E, Spottiswoode, B, Freed, B, Carr, M, Wasielewski, M, Fortney-Campione, K, Shah, S, Carr, J, Markl, M, Collins, J, Sung, YM, Hinojar, R, Ucar, EA, Dabir, D, Voigt, T, Gaddum, N, Schaeffter, T, Nagel, E, Puntmann, VO, Dabir, D, Rogers, T, Ucar, EA, Kidambi, A, Plein, S, Gebker, R, Schnackenburg, B, Voigt, T, Schaeffter, T, Nagel, E, Puntmann, VO, McAlindon, E, Bucciarelli-Ducci, C, Sado, D, Maestrini, V, Piechnik, S, Porter, J, Yamamura, J, Fischer, R, Moon, J, Symons, R, Doulaptsis, C, Masci, P.G, Goetschalckx, K, Dymarkowski, S, Janssens, S, Bogaert, J, Yalin, K, Golcuk, E, Ozer, CS, Buyukbayrak, H, Yilmaz, R, Dursun, M, Bilge, AK, Adalet, K, Reinstadler, SJ, Klug, G, Feistritzer, HJ, Mayr, A, Harrasser, B, Krauter, L, Mair, J, Schocke, MF, Pachinger, O, Metzler, B, Rigolli, M, To, A, Edwards, C, Ding, P, Christiansen, J, Rodríguez-Palomares, JF, Ortiz, JT, Bucciarelli, C, Lee, D, Wu, E, Bonow, RO, Karwat, K, Tomala, M, Miszalski-Jamka, K, Licholaj, S, Mazur, W, Kereiakes, DJ, Nessler, J, Zmudka, K, Jazwiec, P, Miszalski-Jamka, T, Peltonen, J, Kaasalainen, T, Kivistö, S, Holmström, M, Lauerma, K, Rutz, T, Meierhofer, C, Martinoff, S, Ewert, P, Hess, J, Stern, H, Fratz, S, Groarke, JD, Waller, AH, Blankstein, R, Kwong, RY, Steigner, M, Alizadeh, Z, Alizadeh, A, Khajali, Z, Mohammadzadeh, A, Kaykhavani, A, Heidarali, M, Singh, A, Bekele, S, Gunarathne, A, Khan, J, Nazir, SN, Steadman, CD, Kanagala, P, Horsfield, MA, McCann, GP, Duncan, RF, Dundon, BK, Nelson, AJ, Williams, K, Carbone, A, Worthley, MI, Zaman, A, Worthley, SG, Monney, P, Piccini, D, Rutz, T, Vincenti, G, Koestner, S, Stuber, M, Schwitter, J, Gripari, P, Maffessanti, F, Pontone, G, Andreini, D, Bertella, E, Mushtaq, S, Caiani, EG, Pepi, M, El ghannudi, S, Nghiem, A, Germain, P, Jeung, M-J, Roy, C, Gangi, A, Nucifora, G, Muser, D, Masci, PG, Barison, A, Piccoli, G, Rebellato, L, Puppato, M, Gasparini, D, Lombardi, M, Proclemer, A, Nucifora, G, Muser, D, Masci, PG, Barison, A, Piccoli, G, Rebellato, L, Puppato, M, Gasparini, D, Lombardi, M, Proclemer, A, Pöyhönen, P, Kivistö, S, Holmströn, M, Hänninen, H, Thorning, C, Bickelhaupt, S, Kampmann, C, Wentz, KU, Widmer, U, Juli, CF, Miszalski-Jamka, K, Klys, J, Glowacki, J, Kijas, M, Miszalski-Jamka, T, Adamczyk, T, Kwiecinski, R, Bogucka-Czapska, J, Ozaist, M, Mazur, W, Kluczewska, E, Kalarus, Z, Kukulski, T, Karakus, G, Marzluf, B, Bonderman, D, Tufaro, C, Pfaffenberger, S, Babyev, J, Maurer, G, Mascherbauer, J, Kockova, R, Tintera, J, Kautznerova, D, Cerna, D, Sedlacek, K, Kryze, L, El-Husseini, W, Sikula, V, Segetova, M, Kautzner, J, Vasconcelos, M, Lebreiro, A, Martins, E, Cardoso, JS, Madureira, AJ, Ramos, I, Maciel, MJ, Florian, A, Ludwig, A, Rösch, S, Sechtem, U, Yilmaz, A, Monmeneu, J.V, López-Lereu, M.P, Bonanad, C, Sanchis, J, Chaustre, F, Merlos, P, Valero, E, Bodí, V, Chorro, F.J, Yalin, K, Golcuk, E, Ozer, CS, Buyukbayrak, H, Yilmaz, R, Dursun, M, Bilge, AK, Adalet, K, Klug, G, Reinstadler, SJ, Feistritzer, HJ, Mayr, A, Riegler, N, Schocke, M, Esterhammer, R, Kremser, C, Pachinger, O, Metzler, B, Siddiqi, N, Cameron, D, Neil, C, Jagpal, B, Singh, S, Schwarz, K, Papadopoulou, S, Frenneaux, MP, Dawson, D, Robbers, LFHJ, Eerenberg, ES, Teunissen, PFA, Jansen, MF, Hollander, MR, Horrevoets, AJG, Knaapen, P, Nijveldt, R, Levi, MM, van Rossum, AC, Niessen, HWM, Marcu, CB, Beek, AM, van Royen, N, Everaars, H, Robbers, LFHJ, Nijveldt, R, Beek, AM, Teunissen, PFA, Hirsch, A, van Royen, N, Zijlstra, F, Piek, JJ, van Rossum, AC, Goitein, O, Grupper, A, Hamdan, A, Eshet, Y, Beigel, R, Medvedofsky, D, Herscovici, R, Konen, E, Hod, H, Matetzky, S, Cadenas, R, Iniesta, AM, Refoyo, E, Antorrena, I, Guzman, G, Cuesta, E, Salvador, O, López, T, Moreno, M, López-Sendon, JL, Alam, SR, Spath, N, Richards, J, Dweck, M, Shah, A, Lang, N, Semple, S, MacGillivray, T, Mckillop, G, Mirsadraee, S, Pessotto, R, Zamvar, V, Newby, DE, Henriksen, P, Reiter, G, Reiter, U, Kovacs, G, Olschewski, H, Fuchsjäger, M, Ahmad, S, Raza, U, Malik, A, Sun, JP, Eisner, R, Mazur, W, ODonnell, R, Positano, V, Meloni, A, Santarelli, MF, Landini, L, Tassi, C, Grimaldi, S, Gulino, L, De Marchi, D, Chiodi, E, Renne, S, Lombardi, M, Pepe, A, Wu, L, Germans, T, Güçlü, A, Allaart, CP, van Rossum, AC, Kalisz, K, Lehenbauer, K, Katz, D, Bi, X, Cordts, M, Guetter, C, Jolly, M-P, Freed, B, Shah, S, Markl, M, Flukiger, J, Carr, J, Collins, J, Osiak, A, Tyrankiewicz, U, Jablonska, M, Jasinski, K, Jochym, PT, Chlopicki), S, Skorka, T, Kalisz, K, Semaan, E, Katz, D, Bi, X, Cordts, M, Guetter, C, Jolly, MP, Freed, B, Flukiger, J, Lee, D, Kansal, P, Shah, S, Markl, M, Carr, J, Collins, J, Groarke, JD, Shah, RV, Waller, AH, Abbasi, SA, Kwong, RY, Blankstein, R, Steigner, M, Chin, CWL, Semple, S, Malley, T, White, A, Prasad, S, Newby, DE, Dweck, M, Pepe, A, Meloni, A, Lai, ME, Vaquer, S, Gulino, L, De Marchi, D, Cuccia, L, Midiri, M, Vallone, A, Positano, V, Lombardi, M, Pedrotti, P, Milazzo, A, Quattrocchi, G, Roghi, A, Rimoldi, O, Barison, A, De Marchi, D, Masci, P, Milanesi, M, Aquaro, GD, Keilberg, P, Positano, V, Lombardi, M, Positano, Vincenzo, Barison, Andrea, Pugliese, Nicola Riccardo, Masci, Piergiorgio, Del Franco, Annamaria, Aquaro, Giovanni Donato, Landini, Luigi, Lombardi, Massimo, Dieringer, MA, Deimling, M, Fuchs, K, Winter, L, Kraus, O, Knobelsdorff-Brenkenhoff, FV, Schulz-Menger, J, Niendorf, T, Hinojar, R, Ucar, EA, DCruz, D, Sangle, S, Dabir, D, Voigt, T, Gaddum, N, Schaeffter, T, Nagel, E, Puntmann, VO, Sung, YM, Pontone, G, Andreini, D, Bertella, E, Mushtaq, S, Gripari, P, Cortinovis, S, Loguercio, M, Baggiano, A, Conte, E, Pepi, M, El ghannudi, S, Hop, O, Germain, P, Jeung, M-J, De Cesare, A, Roy, C, Gangi, A, Barone-Rochette, G, Pierard, S, Seldrum, S, De Meester de Ravensteen, C, Melchior, J, Maes, F, Pouleur, A-C, Vancraeynest, D, Pasquet, A, Vanoverschelde, J-L, L Gerber, B, Bekele, S, Singh, A, Khan, JN, Nazir, SA, Kanagala, P, McCann, GP, Singh, A, Steadman, CD, Bekele, S, Khan, JN, Nazir, SA, Kanagala, P, McCann, GP, Paelinck, BP, Vandendriessche, T, De Bock, D, De Maeyer, C, Parizel, PM, Christiaan, J, Trauzeddel, RF, Gelsinger, C, Butter, C, Barker, A, Markl, M, Schulz-Menger, J, von Knobelsdorff, F, Florian, A, Schäufele, T, Ludwig, A, Rösch, S, Wenzelburger, I, Yilmaz, A, Sechtem, U, López-Lereu, M.P, Bonanad, C, Monmeneu, J.V, Sanchís, J, Estornell, J, Igual, B, Maceira, A, Chorro, F.J, Focardi, M, Cameli, M, Bennati, E, Massoni, A, Solari, M, Carbone, F, Banchi, B, Mondillo, S, Miia, H, Kirsi, L, Helena, H, Tiina, H, Jyri, L, Pauli, P, Sari, K, Schumm, J, Greulich, S, Grün, S, Ong, P, Klingel, K, Kandolf, R, Sechtem, U, Mahrholdt, H, Raimondi, F, Ou, P, Boudjemline, Y, Bajolle, F, Iserin, F, Bonnet, D, Collins, J, Kalisz, K, Benefield, B, Sarnari, R, Katz, D, Bi, X, Cordts, M, Guetter, C, Jolly, M-P, Freed, B, Flukiger, J, Kansal, P, Lee, D, Shah, S, Markl, M, Carr, J, Sokolowska, B, Miszalski-Jamka, T, Szczeklik, W, Karwat, K, Miszalski-Jamka, K, Belzak, K, Mazur, W, Kereiakes, DJ, Jazwiec, P, Musial, J, Silva, G, Almeida, AG, Resende, C, Marques, JS, Silva, D, David, C, Amaro, C, Costa, P, Silva, JAP, Diogo, AN, Tsokolov, AV, Senchilo, VG, Vertelkin, AV, Hoffmann, P, Mykjåland, G, Wangberg, H, Tønnessen, T, Sjaastad, I, Nordsletten, L, Hjørnholm, U, Løset, A, Rostrup, M, Meloni, A, Gulino, L, Keilberg, P, Palazzi, G, Maddaloni, D, Ascioti, C, Missere, M, Salvatori, C, Positano, V, Lombardi, M, Pepe, A, Meloni, A, Filosa, A, Gulino, L, Pulini, S, Salvatori, C, Chiodi, E, Ascioti, C, Keilberg, P, Positano, V, Lombardi, M, Pepe, A, Meloni, A, Gulino, L, Pietrapertosa, A, Izzi, G, De Marchi, D, Valeri, G, Preziosi, P, Positano, V, Lombardi, M, Pepe, A, Meloni, A, Ruffo, GB, Keilberg, P, Gulino, L, Gerardi, C, Sallustio, G, Tudisca, C, Positano, V, Lombardi, M, Pepe, A, Greulich, S, Backes, M, Schumm, J, Grün, S, Sechtem, U, Mahrholdt, H, Dorniak, K, MSc, AS, Szurowska, E, Fijalkowski, M, Rawicz-Zegrzda, D, Dudziak, M, Raczak, G, Hamdan, A, Baker, FA, Klein, M, Di Segni, E, Goitein, O, Fibisch, G, Konen, E, Müller-Bierl, B, Tanaka, K, Buls, N, Fierens, Y, van Cauteren, T, Willekens, I, van Laere, S, Luypaert, R, de Mey, J, Muzzarelli, S, Faragasso, E, Pedrazzini, G, Sürder, D, Pasotti, E, Moccetti, T, Faletra, F, Qayyum, AA, Hasbak, P, Larsson, HB, Mathiasen, AB, Vejlstrup, NG, Kjaer, A, Kastrup, J, Moschetti, K, Favre, D, Pinget, C, Pilz, G, Petersen, S, Wagner, A, Wasserfallen, JB, Schwitter, J, Ghosh Dastidar, A, Cengarle, M, McAlindon, E, Augustine, D, Nightingale, AK, Bucciarelli-Ducci, C, Dandekar, VK, Ertel, AW, Dickens, C, Gonzalez, RC, Farzaneh-Far, A, Ripley, DP, Higgins, D, McDiarmid, AK, Bainbridge, GJ, Uddin, A, Kidambi, A, Herzog, B, Greenwood, JP, Plein, S, Khanji, M, Newton, T, Westwood, M, Sekhri, N, and Petersen, SE

Abstract

Background-Aims: Early post-infarction pericardial injury is a common finding but its diagnosis remains elusive. Though C-reactive protein (CRP) is considered a marker of myocardial damage, reflecting myocardial inflammation at the infarcted area, we sought to assess the relationship between CRP and pericardial injury depicted by cardiovascular magnetic resonance (CMR) imaging in patients with ST elevation myocardial infarction (MI). Methods and results: 181 MI patients (84% male) were studied with CMR in the first week and at 4 months post-infarction to assess infarct characteristics, left ventricular volumes/function and pericardial injury. The latter was defined as pericardial fluid >4mm and/or enhancement on late gadolinium enhancement CMR. The CRP-value at day 2 (according to previous literature) was used for correlation with CMR and clinical parameters. Pericardial injury was noted in 87 patients, i.e. effusion (n = 30), inflammation (n = 46), both (n = 11). Patients with pericardial injury had significantly higher peak values of cardiac biomarkers (p<0.001) and higher peak CRP-values than patients with normal pericardium (median 13 vs 43 mg/dl, p<0.001). A strong correlation was found between peak CRP-values and a) left venticular ejection fraction and infarct size both at 1 week and 4 months, b) myocardial hemorrhage, microvascular obstruction (MVO) and pericardial injury at 1 week, c) cardiac biomarkers values and time to PCI. However in a multiple regression model only pericardial injury (p = 0.003) and less importantly time to PCI (p = 0.022) were the independent predictors of CRP values. Conclusion: Pericardial damage described by cardiac MRI occurs often after acute ST elevation MI. CRP-values at the acute phase of MI reflect not only inflammation at the infarcted area but even more the inflammation of the surrounding pericardial tissue. Table 1 Comparison of baseline clinical and biochemical parameters of patients with or without evidence of early post-infarct pericardial damage on CMR Normal Group (n = 94)Pericardial injury group (n = 87)p-valueAgem, years59±1160±120.48Male, n(%)83 (88)69 (79)0.10Diabets, n(%)12 (13)9 (10)0.61Smoker, n(%)52 (55)44 (51)0.52Hyperlipidemia, n(%)56 (60)55 (63)0.62BSA m22.0 ± 0.22.0 ± 0.20.20Time to PCI, min195 (155 − 274)223 (160 − 335)0.20Troponin I, μ/l44 (19 − 92)90 (44 − 149)>0.001CK-MB, U/L128 (77 − 216)250 (143 − 443)>0.001CRP, mg/dL13 (7 − 28)43 (16 − 96)>0.001Day of peak CRP2 (1 − 3)2 (1 − 3)0.39 Table 2 Significant correlations between CRP Values and corresponding CMR measurements, cardic biomarkers and clinical related parameters VariblesSpearmanscorrelations rp-valueCMR parameters 1 weekLV EF−0.28>0,001Infractsize(%ofLV)0.40>0,001Microvasular obstruction0.27>0,001Hemorrhage0.33>0,001Size of area atrisk0.31>0,001Transmurality0.30>0,001Pericaldial damage0.43>0,001CMR parameters 4 monthsLVEF−0.43>0,001Infarctsize(%ofLV)0.46>0,001Cardiac BiomarkersPeak TnI0.34>0,001Peak CK-MB0.32>0,001OtherTime to PCI0,1820,007

Published
2013
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