17 results on '"Diago, JL"'
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2. Poster Session Saturday 14 December - AM: 14/12/2013, 08: 30–12: 30Location: Poster area
- Author
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Maceira Gonzalez, A M, Cosin-Sales, J, Ruvira, J, Diago, JL, Aguilar, J, Igual, B, Lopez-Lereu, MP, Monmeneu, J, and Estornell, J
- Published
- 2013
3. Poster session Wednesday 11 December all day display: 11/12/2013, 09: 30–16: 00Location: Poster area
- Author
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Maceira Gonzalez, A M, Cosin-Sales, J, Diago, JL, Aguilar, J, Ruvira, J, Monmeneu, J, Igual, B, Lopez-Lereu, MP, and Estornell, J
- Published
- 2013
4. P674Prevalence of silent necrosis in patients submitted to cardiac magnetic resonance
- Author
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Maceira Gonzalez, A M, Cosin Sales, J, Dalli, E, Igual, B, Diago, JL, Aguilar, J, and Ruvira, J
- Published
- 2011
5. P318Additive effect of noninsulin dependent diabetes mellitus on left ventricular mass in systemic hypertension. Assessment with cardiac magnetic resonance
- Author
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Maceira Gonzalez, A M, Cosin-Sales, J, Dalli, E, Diago, JL, Aguilar, J, and Ruvira, J
- Published
- 2011
6. MODERATED POSTER SESSION: New imaging techniques in classical scenarios: Saturday 6 December 2014, 08:30-12:30 * Location: Moderated Poster area
- Author
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Fukuyama, A, Takeuchi, M, Wu, V, Nagata, Y, Hayashi, A, Otani, K, Fukuda, S, Yoshitani, H, Lin, F, Otsuji, Y, Islas, F, Olmos, C, Almeria, C, Rodrigo, JL, De Agustin, A, Marcos-Alberca, P, Clavero, M, Saltijeral, A, Perez De Isla, L, Atout, W, Centre, Cairo University Hospitals- Echocardiography Unit Diagnostic U/S, Maceira Gonzalez, A M, Igual, B, Cosin-Sales, J, Diago, JL, Aguilar, J, Ruvira, J, Sotillo, J, Bertella, E, Baggiano, A, Loguercio, M, Mushtaq, S, Petulla', M, Segurini, C, Conte, E, Andreini, D, Pontone, G, Tong, L, Ramalli, A, Tortoli, P, Luo, J, D'hooge, J, Galanti, G, Toncelli, L, Stefani, L, Pedri, S, Pedrizzetti, G, Kaminska-Kegel, AB, Jaroch, J, Brzezinska, BE, Kruszynska, E, Kusmierz, M, Loboz-Grudzien, K, Hagendorff, A, Stoebe, S, Tarr, A, Pfeiffer, D, Fazlinezhad, A, Fazlinezhad, AFSOON, Azimi, SARA, Vejdan Parast, MOHAMM, and Hashemi Doost, AFSANE
- Abstract
Purpose: Although 2D strain is widely used to assess left ventricular mechanics, strain values derived from vendor specific 2D strain software are different even in the same subjects and are not interchangeable. We hypothesized that vendor-independent software will provide lower inter-vendor variability of 2D strain measurements. Methods: We acquired two sets of three apical images using 2 of 3 ultrasound machine (Philips, GE and Toshiba) in 81 healthy volunteers (GE vs. Philips in 26, Philips vs. Toshiba in 31 and GE vs. Toshiba in 24). Regional 2D longitudinal strain was measured using vendor-specific software and 2 vendor-independent software (TomTec and Epsilon) in each set of apical images. Then, global longitudinal strain (GLS) values were directly compared between vendor specific software and vendor independent software. Results: Correlation of GLS values between vendor specific software showed wide range of r values (0.23, 0.42 and 0.72) with significant bias except one comparison. Vendor independent software provided modest degree of correlation (TomTec: 0.65, 0.66 and 0.77, Epsilon: 0.64, 0.74 and 0.77) without significant bias in one and with significant bias in the other. Conclusions: Although vendor independent 2D strain software provided moderate correlation of GLS values between ultrasound images obtained from different ultrasound machine in the same subjects, relatively large limit agreement had a still major limitation. Our results suggest that the same ultrasound machine and the same 2D speckle tracking software should be used for the longitudinal analysis of strain values in the same subjects as well as cross sectional study.
Comparison (Machine- Software) r bias LOA p (bias) Philips-Philips vs. GE-GE 0.72 -0.80 -1.81 to 3.41 0.0060 Philips-TomTec vs. GE-TomTec 0.77 0.70 -3.06 to 4.46 0.0806 Philips-Epsilon vs. GE-Epsilon 0.74 -1.17 -1.89 to 4.23 0.0010 Philips-Philips vs. Toshiba-Toshiba 0.42 -0.39 -4.17 to 3.39 0.2823 Philips-TomTec vs. Toshiba-TomTec 0.65 0.15 -4.37 to 4.68 0.7020 Philips-Epsilon vs. Toshiba-Epsilon 0.77 0.50 -2.79 to 3.78 0.1281 GE-GE vs. Toshiba-Toshiba 0.23 1.89 -1.07 to 4.85 <0.0001 GE-TomTec vs. Toshiba-TomTec 0.66 0.65 -2.46 to 3.77 0.1356 GE-Epsilon vs. Toshiba-Epsilon 0.64 1.26 -1.80 to 4.29 0.0032 - Published
- 2014
- Full Text
- View/download PDF
7. Poster Session Saturday 14 December - AM: 14/12/2013, 08:30-12:30 * Location: Poster area
- Author
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Muraru, D, Addetia, K, Veronesi, F, Corsi, C, Mor-Avi, V, Yamat, M, Weinert, L, Lang, RM, Badano, LP, Faita, F, Di Lascio, N, Bruno, RM, Bianchini, E, Ghiadoni, L, Sicari, R, Gemignani, V, Angelis, A, Ageli, K, Ioakimidis, N, Chrysohoou, C, Agelakas, A, Felekos, I, Vaina, S, Aznaourides, K, Vlachopoulos, C, Stefanadis, C, Nemes, A, Szolnoky, G, Gavaller, H, Gonczy, A, Kemeny, L, Forster, T, Ramalho, A, Placido, R, Marta, L, Menezes, M, Magalhaes, A, Cortez Dias, N, Martins, S, Almeida, A, Pinto, F, Nunes Diogo, A, Botezatu, C-D, Enache, R, Popescu, BA, Nastase, O, Coman, MC, Ghiorghiu, I, Calin, A, Rosca, M, Beladan, C, Ginghina, C, Grapsa, J, Cabrita, IZ, Durighel, G, Oregan, D, Dawson, D, Nihoyannopoulos, P, Pellicori, P, Kallvikbacka-Bennett, A, Zhang, J, Lukaschuk, E, Joseph, A, Bourantas, C, Loh, H, Bragadeesh, T, Clark, A, Cleland, JG, Kallvikbacka-Bennett, A, Pellicori, P, Lomax, S, Putzu, P, Diercx, R, Parsons, S, Dicken, B, Zhang, J, Clark, A, Cleland, JG, Vered, Z, Adirevitz, L, Dragu, R, Blatt, A, Karev, E, Malca, Y, Roytvarf, A, Marek, D, Sovova, E, Berkova, M, Cihalik, C, Taborsky, M, Lindqvist, P, Tossavainen, ERIK, Soderberg, S, Gonzales, M, Gustavsson, S, Henein, MY, Sonne, C, Bott-Fluegel, L, Hauck, S, Lesevic, H, Hadamitzky, M, Wolf, P, Kolb, C, Bandera, F, Pellegrino, M, Generati, G, Donghi, V, Alfonzetti, E, Castelvecchio, S, Menicanti, L, Guazzi, M, Buchyte, S, Rinkuniene, D, Jurkevicius, R, Smarz, K, Zaborska, B, Jaxa-Chamiec, T, Maciejewski, P, Budaj, A, Santoro, A, Federico Alvino, FA, Giovanni Antonelli, GA, Roberta Molle, RM, Matteo Bertini, MB, Stefano Lunghetti, SL, Sergio Mondillo, SM, Henri, C, Magne, J, Dulgheru, R, Laaraibi, S, Voilliot, D, Kou, S, Pierard, L, Lancellotti, P, Szulik, M, Stabryla-Deska, J, Kalinowski, M, Sliwinska, A, Szymala, M, Lenarczyk, R, Kalarus, Z, Kukulski, T, Investigators, TRUST CRT, Yiangou, K, Azina, C, Yiangou, A, Ioannides, M, Chimonides, S, Baysal, S, Pirat, B, Okyay, K, Bal, U, Muderrisoglu, H, Popovic, D, Ostojic, M, Petrovic, M, Vujisic-Tesic, B, Arandjelovic, A, Petrovic, I, Banovic, M, Popovic, B, Vukcevic, V, Damjanovic, S, Velasco Del Castillo, S, Onaindia Gandarias, JJ, Arana Achaga, X, Laraudogoitia Zaldumbide, E, Rodriguez Sanchez, I, Cacicedo De Bobadilla, A, Romero Pereiro, A, Aguirre Larracoechea, U, Salinas, T, Subinas, A, Elzbieciak, M, Wita, K, Grabka, M, Chmurawa, J, Doruchowska, A, Turski, M, Filipecki, A, Wybraniec, M, Mizia-Stec, K, Varho, VV, Karjalainen, PP, Lehtinen, T, Airaksinen, JKE, Ylitalo, A, Kiviniemi, TO, Gargiulo, P, Galderisi, M, D Amore, C, Lo Iudice, F, Savarese, G, Casaretti, L, Pellegrino, AM, Fabiani, I, La Mura, L, Perrone Filardi, P, Kim, J Y, Chung, WB, Yu, JS, Choi, YS, Park, CS, Youn, HJ, Lee, MY, Nagy, AI, Manouras, A, Gunyeli, E, Gustafsson, U, Shahgaldi, K, Winter, R, Johnsson, J, Zagatina, A, Krylova, L, Zhuravskaya, N, Vareldzyan, Y, Tyurina, TV, Clitsenko, O, Khalifa, E A, Ashour, Z, Elnagar, W, Jung, IH, Seo, HS, Lee, SJ, Lim, DS, Mizariene, V, Verseckaite, R, Janenaite, J, Jonkaitiene, R, Jurkevicius, R, Sanchez Espino, AD, Bonaque Gonzalez, JC, Merchan Ortega, G, Bolivar Herrera, N, Ikuta, I, Macancela Quinones, JJ, Gomez Recio, M, Silva Fazendas Adame, P R, Caldeira, D, Stuart, B, Almeida, S, Cruz, I, Ferreira, A, Freire, G, Lopes, L, Cotrim, C, Pereira, H, Mediratta, A, Addetia, K, Moss, JD, Nayak, HM, Yamat, M, Weinert, L, Mor-Avi, V, Lang, RM, Al Amri, I, Debonnaire, P, Van Der Kley, F, Schalij, MJ, Bax, JJ, Ajmone Marsan, N, Delgado, V, Schmidt, F P, Gniewosz, T, Jabs, A, Munzel, T, Jansen, T, Kaempfner, D, Hink, U, Von Bardeleben, RS, Jose, J, George, OK, Joseph, G, Jose, J, Adawi, S, Najjar, R, Ahronson, D, Shiran, A, Van Riel, ACMJ, Boerlage - Van Dijk, K, De Bruin - Bon, HACM, Araki, M, Meregalli, PG, Koch, KT, Vis, MM, Mulder, BJM, Baan, J, Bouma, BJ, Marciniak, A, Elton, D, Glover, K, Campbell, I, Sharma, R, Batalha, S, Lourenco, C, Oliveira Da Silva, C, Manouras, A, Shahgaldi, K, Caballero, L, Garcia-Lara, J, Gonzalez-Carrillo, J, Oliva, MJ, Saura, D, Garcia-Navarro, M, Espinosa, MD, Pinar, E, Valdes, M, De La Morena, G, Barreiro Perez, M, Lopez Perez, M, Roy, D, Brecker, S, Sharma, R, Venkateshvaran, A, Dash, P K, Sola, S, Barooah, B, Govind, S C, Winter, R, Shahgaldi, K, Brodin, L A, Manouras, A, Saura Espin, D, Caballero Jimenez, L, Gonzalez Carrillo, J, Oliva Sandoval, MJ, Lopez Ruiz, M, Garcia Navarro, M, Espinosa Garcia, MD, Valdes Chavarri, M, De La Morena Valenzuela, G, Gatti, G, Dellangela, L, Pinamonti, B, Benussi, B, Sinagra, G, Pappalardo, A, Group, Heart Muscle Disease Study, Hernandez, V, Saavedra, J, Gonzalez, A, Iglesias, P, Civantos, S, Guijarro, G, Monereo, S, Ikeda, M, Toh, N, Oe, H, Tanabe, Y, Watanabe, N, Ito, H, Ciampi, Q, Cortigiani, L, Pratali, L, Rigo, F, Villari, B, Picano, E, Sicari, R, Yoon, JH, Sohn, JW, Kim, YJ, Chang, HJ, Hong, GR, Kim, TH, Ha, JW, Choi, BW, Rim, SJ, Choi, EY, Tibazarwa, K, Sliwa, K, Wonkam, A, Mayosi, BM, Oryshchyn, N, Ivaniv, Y, Pavlyk, S, Lourenco, M R, Azevedo, O, Moutinho, J, Nogueira, I, Fernandes, M, Pereira, V, Quelhas, I, Lourenco, A, Sunbul, M, Tigen, K, Karaahmet, T, Dundar, C, Ozben, B, Guler, A, Cincin, A, Bulut, M, Sari, I, Basaran, Y, Baydar, O, Kadriye Kilickesmez, KK, Ugur Coskun, UC, Polat Canbolat, PC, Veysel Oktay, VO, Umit Yasar Sinan, US, Okay Abaci, OA, Cuneyt Kocas, CK, Sinan Uner, SU, Serdar Kucukoglu, SK, Zaroui, A, Mourali, MS, Ben Said, R, Asmi, M, Aloui, H, Kaabachi, N, Mechmeche, R, Saberniak, J, Hasselberg, NE, Borgquist, R, Platonov, PG, Holst, AG, Edvardsen, T, Haugaa, KH, Lourenco, M R, Azevedo, O, Nogueira, I, Moutinho, J, Fernandes, M, Pereira, V, Quelhas, I, Lourenco, A, Eran, A, Yueksel, D, Er, F, Gassanov, N, Rosenkranz, S, Baldus, S, Guedelhoefer, H, Faust, M, Caglayan, E, Matveeva, N, Nartsissova, G, Chernjavskij, A, Ippolito, R, De Palma, D, Muscariello, R, Santoro, C, Raia, R, Schiano-Lomoriello, V, Gargiulo, F, Galderisi, M, Lipari, P, Bonapace, S, Zenari, L, Valbusa, F, Rossi, A, Lanzoni, L, Canali, G, Molon, G, Campopiano, E, Barbieri, E, Ikonomidis, I, Varoudi, M, Papadavid, E, Theodoropoulos, K, Papadakis, I, Pavlidis, G, Triantafyllidi, H, Anastasiou - Nana, M, Rigopoulos, D, Lekakis, J, Sunbul, M, Tigen, K, Ozen, G, Durmus, E, Kivrak, T, Cincin, A, Ozben, B, Atas, H, Direskeneli, H, Basaran, Y, Stevanovic, A, Dekleva, M, Trajic, S, Paunovic, N, Simic, A, Khan, SG, Mushemi-Blake, S, Jouhra, F, Dennes, W, Monaghan, M, Melikian, N, Shah, AM, Division, Cardiovascular, Excellence, Kings BHF Centre of, Maceira Gonzalez, A M, Lopez-Lereu, MP, Monmeneu, JV, Igual, B, Estornell, J, Boraita, A, Kosmala, W, Rojek, A, Bialy, D, Mysiak, A, Przewlocka-Kosmala, M, Popescu, I, Mancas, S, Mornos, C, Serbescu, I, Ionescu, G, Ionac, A, Gaudron, P, Niemann, M, Herrmann, S, Hu, K, Liu, D, Wojciech, K, Frantz, S, Bijnens, B, Ertl, G, Weidemann, F, Maceira Gonzalez, A M, Cosin-Sales, J, Ruvira, J, Diago, JL, Aguilar, J, Igual, B, Lopez-Lereu, MP, Monmeneu, J, Estornell, J, Cruz, C, Pinho, T, Madureira, AJ, Lebreiro, A, Dias, CC, Ramos, I, Silva Cardoso, J, Julia Maciel, M, De Meester, P, Van De Bruaene, A, Herijgers, P, Voigt, J-U, Budts, W, Franzoso, F, Voser, EM, Wohlmut, C, Kellenberger, CJ, Valsangiacomo Buechel, E, Carrero, C, Benger, J, Parcerisa, MF, Falconi, M, Oberti, PF, Granja, M, Cagide, AM, Del Pasqua, A, Secinaro, A, Antonelli, G, Iacomino, M, Toscano, A, Chinali, M, Esposito, C, Carotti, A, Pongiglione, G, Rinelli, G, Youssef Moustafa, A, Al Murayeh, M, Al Masswary, A, Al Sheikh, K, Moselhy, M, Dardir, MD, Deising, J, Butz, T, Suermeci, G, Liebeton, J, Wennemann, R, Tzikas, S, Van Bracht, M, Prull, MW, Trappe, H-J, Martin Hidalgo, M, Delgado Ortega, M, Ruiz Ortiz, M, Mesa Rubio, D, Carrasco Avalos, F, Seoane Garcia, T, Pan Alvarez-Ossorio, M, Lopez Aguilera, J, Puentes Chiachio, M, Suarez De Lezo Cruz Conde, J, Petrovic, M T, Giga, V, Stepanovic, J, Tesic, M, Jovanovic, I, Djordjevic-Dikic, A, Generati, G, Pellegrino, M, Bandera, F, Donghi, V, Alfonzetti, E, Guazzi, M, Piatkowski, R, Kochanowski, J, Scislo, P, Opolski, G, Zagatina, A, Zhuravskaya, N, Krylova, L, Vareldzhyan, Y, Tyurina, TV, Clitsenko, O, Bombardini, T, Gherardi, S, Leone, O, Picano, E, Michelotto, E, Ciccarone, A, Tarantino, N, Ostuni, V, Rubino, M, Genco, W, Santoro, G, Carretta, D, Romito, R, Colonna, P, foundation, Cassa di Risparmio di Puglia, Cameli, M, Lunghetti, S, Lisi, M, Curci, V, Cameli, P, Focardi, M, Favilli, R, Galderisi, M, Mondillo, S, Hoffmann, R, Barletta, G, Von Bardeleben, S, Kasprzak, J, Greis, C, Vanoverschelde, J, Becher, H, Machida, T, Izumo, M, Suzuki, K, Kaimijima, R, Mizukoshi, K, Manabe-Uematsu, M, Takai, M, Harada, T, Akashi, YJ, Medicine., St. Marianna University School of, Cardiology, Division of, Martin Garcia, A, Arribas-Jimenez, A, Cruz-Gonzalez, I, Nieto, F, Iscar, A, Merchan, S, Martin-Luengo, C, Brecht, A, Theres, L, Spethmann, S, Dreger, H, Baumann, G, Knebel, F, Jasaityte, R, Heyde, B, Rademakers, F, Claus, P, Dhooge, J, Lervik Nilsen, L C, Lund, J, Brekke, B, Stoylen, A, Giraldeau, G, Duchateau, N, Gabrielli, L, Penela, D, Evertz, R, Mont, L, Brugada, J, Berruezo, A, Bijnens, BH, Sitges, M, Kordybach, M, Kowalski, M, Hoffman, P, Pilichowska, E, Zaborska, B, Baran, J, Kulakowski, P, Budaj, A, Wahi, S, Vollbon, W, Leano, R, Thomas, A, Bricknell, K, Holland, D, Napier, S, Stanton, T, Teferici, D, Qirko, S, Petrela, E, Dibra, A, Bajraktari, G, Bara, P, Sanchis Ruiz, L, Gabrielli, L, Andrea, R, Falces, C, Duchateau, N, Perez-Villa, F, Bijnens, B, Sitges, M, Sulemane, S, Panoulas, VF, Bratsas, AH, Tam, FW, Nihoyannopoulos, P, Abduch, MCD, Alencar, AM, Coracin, FL, Barban, A, Saboya, R, Dulley, FL, Mathias, W, Vieira, MLC, Buccheri, S, Mangiafico, S, Arcidiacono, A, Bottari, VE, Leggio, S, Tamburino, C, Monte, I P, Cruz, C, Lebreiro, A, Pinho, T, Dias, CC, Silva Cardoso, J, Julia Maciel, M, Spitzer, E, Beitzke, D, Kaneider, A, Pavo, N, Gottsauner-Wolf, M, Wolf, F, Loewe, C, Mushtaq, S, Andreini, D, Pontone, G, Bertella, E, Conte, E, Baggiano, A, Annoni, A, Cortinovis, S, Fiorentini, C, Pepi, M, Gustafsson, M, Alehagen, U, Dahlstrom, U, Johansson, P, Faden, G, Faggiano, P, Albertini, L, Reverberi, C, Gaibazzi, N, Taylor, R J, Moody, WE, Umar, F, Edwards, NC, Townend, JN, Steeds, RP, Leyva, F, Mihaila, S, Muraru, D, Piasentini, E, Peluso, D, Casablanca, S, Naso, P, Puma, L, Iliceto, S, Vinereanu, D, Badano, LP, Ciciarello, F L, Agati, L, Cimino, S, De Luca, L, Petronilli, V, Fedele, F, and Tsverava, M
- Abstract
Purpose: Transthoracic 3D echocardiography (3DE) allows an unparalleled opportunity for quantifying the dynamic changes of the tricuspid annulus (TA). Accordingly, our aims were: (I) to assess the determinants of TA size during cardiac cycle in healthy subjects; (II) to propose an approach and timing for TA sizing using 3DE. Methods: In 50 healthy volunteers (45±14 yrs, range 18-74, 27 males, with no risk factors, symptoms, signs or history of cardiovascular disease and on no medication), a full-volume dataset of the right ventricle (RV) containing the tricuspid valve (TV) was acquired (Vivid E9, GE Healthcare). TA diameters (septo-lateral, SL; antero-posterior, AP) and areas were measured on multiplanar images (Flexi-slice, EchoPac BT12, GE Healthcare) at 5 time points during the cardiac cycle: OS (onset of systole, at TV closure); MS (mid-systole); ES (end-systole); ED (onset of diastole); LD (late diastole, after the P wave). RV volumes and ejection fraction (EF) were analyzed with commercial software (4D RV analysis, TomTec, D). Results: Temporal resolution of the 3D datasets was 32±4 vps (range 24-53). TA areas were more closely correlated with RV volumes and body surface area (BSA) than with either SL or AP diameters. TA areas increased during systole from OS (3.9±0.6 cm2/m2) to ES (4.9±0.8 cm2/m2) and reached its largest area in LD (6.7±1.0 cm2/m2). All 5 TA areas were correlated with BSA (r range 0.57-0.62) and RV volumes (r ranges 0.53-0.60 for end-diastolic volume and 0.43-0.50 for end-systolic volume, p<0.0001 for all). Indexed TA areas were not related to either age or gender. With multivariable analysis, both RV end-diastolic volume and BSA determined TA areas during systole and early diastole, while TA area at LD and at OS were independently related with BSA only. Conclusions: In healthy subjects, the main determinants of TA size are RV volume and BSA. The largest TA area occurs at LD and is independently related with BSA only. Therefore, normative values should be based on TA areas measured at LD and indexed for BSA. However, the rapid change in TA areas occurring from LD to OS underscores the importance of adequate temporal resolution of 3DE data sets for reliable TA measurements.
- Published
- 2013
- Full Text
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8. Poster session Wednesday 11 December all day display: 11/12/2013, 09:30-16:00 * Location: Poster area
- Author
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Bertrand, PB, Grieten, L, Smeets, C, Verbrugge, FH, Mullens, W, Vrolix, M, Rivero-Ayerza, M, Verhaert, D, Vandervoort, P, Tong, L, Ramalli, A, Tortoli, P, Dhoge, J, Bajraktari, G, Lindqvist, P, Henein, MY, Obremska, M, Boratynska, MB, Kurcz, JK, Zysko, DZ, Baran, TB, Klinger, MK, Darahim, K, Mueller, H, Carballo, D, Popova, N, Vallee, J-P, Floria, M, Chistol, R, Tinica, G, Grecu, M, Rodriguez Serrano, M, Osa-Saez, A, Rueda-Soriano, J, Buendia-Fuentes, F, Domingo-Valero, D, Igual-Munoz, B, Alonso-Fernandez, P, Quesada-Carmona, A, Miro-Palau, V, Palencia-Perez, M, Bech-Hanssen, O, Polte, CL, Lagerstrand, K, Janulewicz, M, Gao, S, Erdogan, E, Akkaya, M, Bacaksiz, A, Tasal, A, Sonmez, O, Turfan, M, Kul, S, Vatankulu, MA, Uyarel, H, Goktekin, O, Mincu, RI, Magda, LS, Mihaila, S, Florescu, M, Mihalcea, D, Enescu, OE, Chiru, A, Popescu, B, Tiu, C, Vinereanu, D, 112/2011, Research grant, Broch, K, Kunszt, G, Massey, R, De Marchi, SF, Aakhus, S, Gullestad, L, Urheim, S, Yuan, L, Feng, JL, Jin, XY, Bombardini, T, Casartelli, M, Simon, D, Gaspari, MG, Procaccio, F, Hasselberg, NE, Haugaa, KH, Brunet, A, Kongsgaard, E, Donal, E, Edvardsen, T, Sahin, TAYLAN, Yurdakul, S, Cengiz, BETUL, Bozkurt, AYSEN, Aytekin, SAIDE, Cesana, F, Spano, F, Santambrogio, G, Alloni, M, Vallerio, P, Salvetti, M, Carerj, S, Gaibazzi, N, Rigo, F, Moreo, A, Group, APRES Collaborative, Wdowiak-Okrojek, K, Michalski, B, Kasprzak, JD, Shim, A, Lipiec, P, Generati, G, Pellegrino, M, Bandera, F, Donghi, V, Alfonzetti, E, Guazzi, M, Marcun, R, Stankovic, I, Farkas, J, Vlahovic-Stipac, A, Putnikovic, B, Kadivec, S, Kosnik, M, Neskovic, AN, Lainscak, M, Iliuta, L, Szymanski, P, Lipczynska, M, Klisiewicz, A, Sobieszczanska-Malek, M, Zielinski, T, Hoffman, P, Gjerdalen, G F, Hisdal, J, Solberg, EE, Andersen, TE, Radunovic, Z, Steine, K, Svanadze, A, Poteshkina, N, Krylova, N, Mogutova, P, Shim, A, Kasprzak, JD, Szymczyk, E, Wdowiak-Okrojek, K, Michalski, B, Stefanczyk, L, Lipiec, P, Benedek, T, Matei, C, Jako, B, Suciu, ZS, Benedek, I, Yaroshchuk, N A, Kochmasheva, V V, Dityatev, V P, Kerbikov, O B, Przewlocka-Kosmala, M, Orda, A, Karolko, B, Mysiak, A, Kosmala, W, Rechcinski, T, Wierzbowska-Drabik, K, Lipiec, P, Chmiela, M, Kasprzak, JD, Aziz, A, Hooper, J, Rayasamudra, S, Uppal, H, Asghar, O, Potluri, R, Zaroui, A, Mourali, MS, Rezine, Z, Mbarki, S, Jemaa, M, Aloui, H, Mechmeche, R, Farhati, A, Gripari, P, Maffessanti, F, Tamborini, G, Muratori, M, Fusini, L, Vignati, C, Bartorelli, AL, Alamanni, F, Agostoni, PG, Pepi, M, Ruiz Ortiz, M, Mesa, D, Delgado, M, Seoane, T, Carrasco, F, Martin, M, Mazuelos, F, Suarez De Lezo Herreros De Tejada, J, Romero, M, Suarez De Lezo, J, Brili, S, Stamatopoulos, I, Misailidou, M, Chrisochoou, C, Christoforatou, E, Stefanadis, C, Ruiz Ortiz, M, Mesa, D, Delgado, M, Martin, M, Seoane, T, Carrasco, F, Ojeda, S, Segura, J, Pan, M, Suarez De Lezo, J, Cammalleri, V, Ussia, GP, Muscoli, S, Marchei, M, Sergi, D, Mazzotta, E, Romeo, F, Igual Munoz, B, Bel Minguez, ABM, Perez Guillen, MPG, Maceira Gonzalez, AMG, Monmeneu Menadas, JVMM, Hernandez Acuna, CHA, Estornell Erill, JEE, Lopez Lereu, PLL, Francisco Jose Valera Martinez, FJVM, Montero Argudo, AMA, Sunbul, M, Akhundova, A, Sari, I, Erdogan, O, Mutlu, B, Cacicedo, A, Velasco Del Castillo, S, Anton Ladislao, A, Aguirre Larracoechea, U, Rodriguez Sanchez, I, Subinas Elorriaga, A, Oria Gonzalez, G, Onaindia Gandarias, J, Laraudogoitia Zaldumbide, E, Lekuona Goya, I, Ding, W, Zhao, Y, Lindqvist, P, Nilson, J, Winter, R, Holmgren, A, Ruck, A, Henein, MY, Attenhofer Jost, C H, Soyka, R, Oxenius, A, Kretschmar, O, Valsangiacomo Buechel, ER, Greutmann, M, Weber, R, Keramida, K, Kouris, N, Kostopoulos, V, Karidas, V, Damaskos, D, Makavos, G, Paraskevopoulos, K, Olympios, CD, Eskesen, K, Olsen, NT, Fritz-Hansen, T, Sogaard, P, Cameli, M, Lisi, M, Righini, FM, Curci, V, Massoni, A, Natali, B, Maccherini, M, Chiavarelli, M, Massetti, M, Mondillo, S, Mabrouk Salem Omar, A, Ahmed Abdel-Rahman, M, Khorshid, H, Rifaie, O, Santoro, C, Santoro, A, Ippolito, R, De Palma, D, De Stefano, F, Muscariiello, R, Galderisi, M, Squeri, A, Censi, S, Baldelli, M, Grattoni, C, Cremonesi, A, Bosi, S, Saura Espin, D, Gonzalez Canovas, C, Gonzalez Carrillo, J, Oliva Sandoval, MJ, Caballero Jimenez, L, Espinosa Garcia, MD, Garcia Navarro, M, Valdes Chavarri, M, De La Morena Valenzuela, G, Ryu, SK, Shin, DG, Son, JW, Choi, JH, Goh, CW, Choi, JW, Park, JY, Hong, GR, Sklyanna, O, Yuan, L, Yuan, L, Planinc, I, Bagadur, G, Ljubas, J, Baricevic, Z, Skoric, B, Velagic, V, Bijnens, B, Milicic, D, Cikes, M, Gospodinova, M, Chamova, T, Guergueltcheva, V, Ivanova, R, Tournev, I, Denchev, S, Ancona, R, Comenale Pinto, S, Caso, P, Arenga, F, Coppola, MG, Calabro, R, Neametalla, H, Boitard, S, Hamdi, H, Planat-Benard, V, Casteilla, L, Li, Z, Hagege, AA, Mericskay, M, Menasche, P, Agbulut, O, Merlo, M, Stolfo, D, Anzini, M, Negri, F, Pinamonti, B, Barbati, G, Di Lenarda, A, Sinagra, G, Stolfo, D, Merlo, M, Pinamonti, B, Gigli, M, Poli, S, Porto, A, Di Nora, C, Barbati, G, Di Lenarda, A, Sinagra, G, Coppola, C, Piscopo, G, Cipresso, C, Rea, D, Maurea, C, Esposito, E, Arra, C, Maurea, N, Nemes, A, Kalapos, A, Domsik, P, Forster, T, Voilliot, D, Huttin, O, Vaugrenard, T, Schwartz, J, Sellal, J-M, Aliot, E, Juilliere, Y, Selton-Suty, C, Sanchez Millan, P J, Cabeza Lainez, P, Castillo Ortiz, J, Chueca Gonzalez, EM, Gheorghe, L, Fernandez Garcia, P, Herruzo Rojas, MS, Del Pozo Contreras, R, Fernandez Garcia, M, Vazquez Garcia, R, Rosca, M, Popescu, BA, Botezatu, D, Calin, A, Beladan, CC, Gurzun, M, Enache, R, Ginghina, C, Farouk, H, Al-Maimoony, T, Alhadad, A, El Serafi, M, Abdel Ghany, M, Poorzand, H, Mirfeizi, SZ, Javanbakht, A, center, Preventive Cardiovascular care research, center, Lupus Research, sciences, Mashhad university of medical, Tellatin, S, Famoso, G, Dassie, F, Martini, C, Osto, E, Maffei, P, Iliceto, S, Tona, F, Radunovic, Z, Steine, KS, Jedrzejewska, I, Braksator, W, Krol, W, Swiatowiec, A, Sawicki, J, Kostarska-Srokosz, E, Dluzniewski, M, Maceira Gonzalez, A M, Cosin-Sales, J, Diago, JL, Aguilar, J, Ruvira, J, Monmeneu, J, Igual, B, Lopez-Lereu, MP, Estornell, J, Olszanecka, A, Dragan, A, Kawecka-Jaszcz, K, Czarnecka, D, Scholz, F, Gaudron, PD, Hu, K, Liu, D, Florescu, C, Herrmann, S, Bijnens, B, Ertl, G, Stoerk, S, Weidemann, F, Krestjyaninov, M, Razin, VA, Gimaev, RH, Bogdanovic, Z, Burazor, I, Deljanin Ilic, M, Peluso, D, Muraru, D, Cucchini, U, Mihaila, S, Casablanca, S, Pigatto, E, Cozzi, F, Punzi, L, Badano, LP, Iliceto, S, Zhdanova, E, Rameev, VV, Safarova, AF, Moisseyev, SV, Kobalava, ZD, Magnino, C, Omede, P, Avenatti, E, Presutti, D, Losano, I, Moretti, C, Bucca, C, Gaita, F, Veglio, F, Milan, A, Bellsham-Revell, H, Bell, AJ, Miller, OI, Simpson, JM, Hwang, YM, Kim, GH, Jung, MH, Woo, GH, Medicine, Department of Internal, Hospital, St.Vincents, Korea, The Catholic University of, Suwon, Division of Cardiology, Repu, Driessen, MMP, Leiner, T, Schoof, PH, Breur, JMPJ, Sieswerda, GT, Meijboom, FJ, Bellsham-Revell, H, Hayes, N, Anderson, D, Austin, BC, Razavi, R, Greil, GF, Simpson, JM, Bell, AJ, Zhao, XX, Xu, XD, Qin, YW, Szmigielski, C A, Styczynski, G, Sobczynska, M, Placha, G, Kuch-Wocial, A, Ikonomidis, I, Voumbourakis, A, Triantafyllidi, H, Pavlidis, G, Varoudi, M, Papadakis, I, Trivilou, P, Paraskevaidis, I, Anastasiou-Nana, M, Lekakis, I, Kong, WILL, Yip, JAMES, Ling, LH, Milan, A, Tosello, F, Leone, D, Bruno, G, Losano, I, Avenatti, E, Sabia, L, Veglio, F, Zaborska, B, Baran, J, Pilichowska-Paszkiet, E, Sikora-Frac, M, Michalowska, I, Kulakowski, P, Budaj, A, Mega, S, Bono, MC, De Francesco, V, Castiglione, I, Ranocchi, F, Casacalenda, A, Goffredo, C, Patti, G, Di Sciascio, G, Musumeci, F, Kennedy, M, Waterhouse, DF, Sheahan, R, Foley, DF, Mcadam, BF, Ancona, R, Comenale Pinto, S, Caso, P, Arenga, F, Coppola, MG, Calabro, R, Remme, E W, Smedsrud, M K, Hasselberg, N E, Smiseth, O A, Edvardsen, T, Halmai, L, Nemes, A, Kardos, A, Neubauer, S, Degiovanni, A, Baduena, L, Dellera, G, Occhetta, E, Marino, P, Hotchi, J, Yamada, H, Nishio, S, Bando, M, Hayashi, S, Hirata, Y, Amano, R, Soeki, T, Wakatsuki, T, Sata, M, Lamia, B, Molano, LC, Viacroze, C, Cuvelier, A, Muir, JF, Lipczynska, M, Piotr Szymanski, PS, Anna Klisiewicz, AK, Lukasz Mazurkiewicz, LM, Piotr Hoffman, PH, Van T Sant, J, Wijers, SC, Ter Horst, IAH, Leenders, GE, Cramer, MJ, Doevendans, PA, Meine, M, Hatam, N, Goetzenich, A, Aljalloud, A, Mischke, K, Hoffmann, R, Autschbach, R, Sikora-Frac, M, Zaborska, B, Maciejewski, P, Bednarz, B, Budaj, A, Evangelista, A, Torromeo, C, Pandian, NG, Nardinocchi, P, Varano, V, Schiariti, M, Teresi, L, Puddu, PE, Storve, S, Dalen, H, Snare, SR, Haugen, BO, Torp, H, Fehri, W, Mahfoudhi, H, Mezni, F, Annabi, MS, Taamallah, K, Dahmani, R, Haggui, A, Hajlaoui, N, Lahidheb, D, Haouala, H, Colombo, A, Carminati, MC, Maffessanti, F, Gripari, P, Pepi, M, Lang, RM, Caiani, EG, Walker, JR, Abadi, S, Agmon, Y, Carasso, S, Aronson, D, Mutlak, D, Lessick, J, Saxena, A, Ramakrishnan, S, Juneja, R, Ljubas, J, Reskovic Luksic, V, Matasic, R, Pezo Nikolic, B, Lovric, D, Separovic Hanzevacki, J, Quattrone, A, Zito, C, Alongi, G, Vizzari, G, Bitto, A, De Caridi, G, Greco, M, Tripodi, R, Pizzino, G, Carerj, S, Ibrahimi, P, Jashari, F, Johansson, E, Gronlund, C, Bajraktari, G, Wester, P, Henein, MY, Kosmala, W, Marwick, TH, Souza, J R M, Zacharias, L G T, Geloneze, B, Pareja, J C, Chaim, A, Nadruz, W JR, Coelho, O R, Apostolovic, S, Stanojevic, D, Jankovic-Tomasevic, R, Salinger-Martinovic, S, Djordjevic-Radojkovic, D, Pavlovic, M, Tahirovic, E, Musial-Bright, L, Lainscak, M, Duengen, HD, group, CIBIS ELD study, Filipiak, D, Kasprzak, JD, and Lipiec, P
- Abstract
Purpose: With the advent of percutaneous transcatheter device closures in congenital heart defects and the emergence of percutaneous left atrial appendage closure, there is an increasingly important role for echocardiographic guidance and control of device position and function. Disc occluder devices frequently present as an unexplained ‘figure-of-8’ on echocardiography. The aim of this study was to clarify this ‘figure-of-8’ display and to relate its morphology to transducer position and device type. Methods: A mathematical model was developed to resemble disc occluder geometry and to allow a numerical simulation of the echocardiographic appearance. In addition, we developed an in vitro set-up for echocardiographic analysis of various disc occluders and various transducer positions. Results: In the mathematical model of an epitrochoid curve (closely resembling disc occluder geometry) a ‘figure-of-8’ display is obtained when emphasizing points with tangent vector perpendicular to the direction of ultrasound waves. Decreasing imaging depth results in a more asymmetric ‘figure-of-8’, with small upper part and wide lower part. Clinical and in vitro data are in close agreement with these results (Figure 1). Furthermore a ‘figure-of-8’ display is only obtained in a coronal imaging position, and is similar for different commercially available disc occluder types. Conclusions: The ‘figure-of-8’ display in the ultrasound image of a disc occluder is an imaging artifact due to the specific ‘epitrochoidal’ geometry of a deployed device and its interaction with ultrasound waves. The morphology of the ‘figure-of-8’ depends on transducer position, i.e. imaging depth, and is similar for different device types.
Figure 1 Impact of imaging depth - Published
- 2013
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9. Prognostic implications of dipyridamole cardiac MR imaging: a prospective multicenter registry.
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Bodi V, Husser O, Sanchis J, Núñez J, Monmeneu JV, López-Lereu MP, Bosch MJ, Rumiz E, Miñana G, García C, Diago JL, Chaustre F, Moratal D, Gómez C, Aguilar J, Chorro FJ, and Llacer A
- Subjects
- Aged, Artifacts, Case-Control Studies, Chest Pain mortality, Chest Pain therapy, Chi-Square Distribution, Contrast Media, Female, Humans, Male, Middle Aged, Myocardial Infarction diagnosis, Myocardial Infarction mortality, Myocardial Infarction therapy, Myocardial Ischemia mortality, Myocardial Ischemia therapy, Myocardial Revascularization, Predictive Value of Tests, Prognosis, Proportional Hazards Models, Prospective Studies, Registries, Reproducibility of Results, Statistics, Nonparametric, Chest Pain diagnosis, Dipyridamole, Magnetic Resonance Imaging, Cine methods, Myocardial Ischemia diagnosis, Vasodilator Agents
- Abstract
Purpose: To evaluate dipyridamole cardiac magnetic resonance (MR) imaging in the prediction of major events (MEs) in patients with ischemic chest pain in a large multicenter registry., Materials and Methods: Institutional ethics committee approval and written informed consent were obtained. A total of 1722 patients who were undergoing cardiac MR imaging for chest pain were included. Wall motion abnormalities (WMAs) at rest, hyperemia perfusion defect (PD), late gadolinium enhancement (LGE), and inducible WMA were analyzed (abnormal if more than one abnormal segment was seen) with the 17-segment model. A cardiac MR categorization was created: category 1, no PD, LGE, or inducible WMA; category 2, PD without LGE and inducible WMA; category 3, LGE without inducible WMA; and category 4, inducible WMA. The association with ME was analyzed by using Cox proportional hazard regression multivariate models., Results: During a median follow-up period of 308 days, 61 MEs (4%) occurred (36 cardiac deaths, 25 nonfatal myocardial infarctions). MEs were associated with a greater extent of WMA, PD, LGE, and inducible WMA (P ≤ .001 for all analyses). In multivariable analyses, PD (P = .002) and inducible WMA (P = .0001) were the only cardiac MR predictors. ME rate in categories 1, 2, 3, and 4 was 2% (14 of 901 patients), 3% (six of 219 patients), 4% (15 of 409 patients), and 14% (26 of 193 patients), respectively (category 4 vs category 1, adjusted P < .001). Cardiac MR-directed revascularization was performed in 242 patients (14%) and reduced the risk of ME in only category 4 (7% [six of 92 patients] vs 26% [26 of 101 patients], P = .0004)., Conclusion: Dipyridamole cardiac MR imaging can be used to predict MEs in patients with ischemic chest pain. Patients with inducible WMA are at the highest risk for MEs and benefit the most from revascularization., (© RSNA, 2011.)
- Published
- 2012
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10. [Renal function as a prognostic marker of mortality in heart failure].
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Bonig I, Martínez F, Diago JL, and Redon J
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- Aged, Humans, Prognosis, Heart Failure mortality, Heart Failure physiopathology, Kidney physiopathology
- Published
- 2009
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11. Ventricular hypertrophy increases NT-proBNP in subjects with and without hypertension.
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Rivera Otero JM, Taléns-Visconti R, Salvador A, Bertomeu V, Miró V, Jordán A, Sogorb F, Cortés R, Payá R, Diago JL, and Grau G
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- Aged, Biomarkers blood, Case-Control Studies, Cross-Sectional Studies, Echocardiography, Doppler, Female, Humans, Hypertension diagnosis, Hypertension epidemiology, Hypertrophy, Left Ventricular diagnostic imaging, Hypertrophy, Left Ventricular epidemiology, Male, Middle Aged, Natriuretic Peptide, Brain, Observer Variation, Probability, Prognosis, Reference Values, Reproducibility of Results, Risk Assessment, Severity of Illness Index, Statistics, Nonparametric, Hypertension blood, Hypertrophy, Left Ventricular blood, Nerve Tissue Proteins blood, Peptide Fragments blood
- Abstract
Background: It has been published that hypertension (HT) must be taken into account when using NT-proBNP, but left ventricular (LV) hypertrophy without HT could be a cause of NT-proBNP elevation. In a population study we compared NT-proBNP in subjects with hypertrophy, with and without diagnosis of HT., Methods: We studied 215 subjects from a random sample of 432 people who had declared to suffer from dyspnea. These 432 subjects were referred to their hospital where blood samples were taken, an echo-Doppler study was performed and a specific questionnaire was completed. We got a positive answer from 215, and 52 (24%) have LV hypertrophy., Results: When we compared NT-proBNP in non-hypertrophic population, 148 +/- 286 pg/ml, with NT-proBNP in LV hypertrophic population, 202 +/- 209 pg/ml, we found P < 0.001. In the hypertrophic group, when we compared NT-proBNP (199 +/- 201 pg/ml) in normotensive subjects (LV mass index 170 +/- 70 g/m2, Vp 50 +/- 18 cm/s, LVEF 62 +/- 8) with NT-proBNP (205 +/- 220 pg/ml) in subjects with diagnosis of HT (LV mass index 169 +/- 37 g/m2, Vp 55 +/- 20 cm/s, LVEF 64 +/- 10), we found NS., Conclusions: This population study shows that NT-proBNP is elevated in patients with LV hypertrophy with or without HT. In LV hypertrophy the presence of HT does not influence the peptide levels significantly., (Copyright 2003 Elsevier Ireland Ltd.)
- Published
- 2004
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12. [NT-proBNP levels and hypertension. Their importance in the diagnosis of heart failure].
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Rivera M, Taléns-Visconti R, Salvador A, Bertomeu V, Miró V, García de Burgos F, Climent V, Cortés R, Payá R, Pérez-Boscá JL, Mainar L, Jordán A, Sogorb F, Cosín J, Mora V, Diago JL, and Marín F
- Subjects
- Aged, Echocardiography, Doppler, Female, Humans, Hypertension diagnostic imaging, Male, Middle Aged, Natriuretic Peptide, Brain, Surveys and Questionnaires, Heart Failure diagnosis, Hypertension blood, Nerve Tissue Proteins blood, Peptide Fragments blood
- Abstract
Introduction: N-terminal pro-brain natriuretic peptide (NT-proBNP) is useful in the diagnosis of heart failure. We compared NT-proBNP levels in patients with and without a diagnosis of arterial hypertension., Patients and Method: Participants were recruited from a random sample of 999 inhabitants from the Community of Valencia (eastern Spain). Of these patients, 432 said they suffered from dyspnea and were referred to their hospital (10 hospitals involved), where blood samples were taken, an echo-Doppler study was performed, and the patients completed a questionnaire. Of the 432 participants with dyspnea, 215 gave informed consent for their inclusion in the study, and 202 completed the study. Hypertension was diagnosed in 72 participants and 130 were normotensive., Results: For the whole population, NT-proBNP, expressed as the median and range, was 88 (0-2586) pg/mL. When we compared hypertensive with normotensive participants, we found higher NT-proBNP levels in the former group: median 123, range 0-2184 pg/mL, versus median 77, range 0-2586 pg/mL (P<.01). When we excluded subjects with systolic left ventricular dysfunction, we found higher levels in participants with hypertension: 119 (0-2184 pg/mL) vs 72 (0-997 pg/mL) (P<.01). When we also excluded subjects with diastolic dysfunction, we found (median 85, range 0-430 pg/mL) and (median 66, range 0-997 pg/mL), respectively (p = NS)., Conclusion: In a population study of subjects with dyspnea, hypertensive patients have higher NT-proBNP levels than subjects with normal blood pressure. This difference disappeared when patients with diastolic dysfunction were excluded from the analysis. Hypertension can thus be a confounding factor that potentially decreases the specificity of NT-proBNP levels for the diagnosis of heart failure. These findings should be taken into account when conducting clinical and epidemiological studies in which patients with both heart failure and hypertension are included.
- Published
- 2004
13. [NT-proBNP and atrioventricular plane displacement. Relationship and diagnostic implications].
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Rivera M, Cortés R, Mora V, Miró V, Cosín J, Jordán A, García de Burgos F, Salvador A, Sogorb F, Marín F, Climent V, Bertomeu V, Frutos A, Taléns R, Payá R, Pérez Boscá JL, and Diago JL
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- Aged, Cross-Sectional Studies, Echocardiography, Doppler, Color, Female, Heart Failure diagnostic imaging, Humans, Male, Natriuretic Peptide, Brain, Reproducibility of Results, Sensitivity and Specificity, Ventricular Dysfunction, Left diagnostic imaging, Heart Failure blood, Nerve Tissue Proteins blood, Peptide Fragments blood, Protein Precursors blood, Ventricular Dysfunction, Left blood
- Abstract
Introduction and Objectives: NT-proBNP is useful in the diagnosis of heart failure and ventricular dysfunction. Left atrioventricular plane displacement (AVPD) is a consolidated index of ventricular function. Our objective was to carry out a multicenter population-based study to establish the relationship between plasma NT-proBNP levels with AVPD values., Patients and Method: We studied 215 subjects (age 66 9 years; 57.7% women) chosen from a random sample of 432 people from the Community of Valencia, who previously reported suffering from some degree of dyspnea. Doppler echocardiography was done, AVPD was calculated and plasma NT-proBNP concentrations were determined. All studies were completed in 194 patients., Results: For the whole population NT-proBNP was 88 (0-2,586) pg/ml and AVPD was 11.9 1.6 mm. NT-proBNP concentration correlated well with AVPD (r = 0.44; p < 0.00001), and higher peptide levels were obtained in AVPD quartiles that indicated less displacement (p < 0.05). When NT-proBNP values were grouped according to their association with AVPD lower or higher than the 50th percentile AVPD, the difference was significant at p < 0.01. When AVPD values lower and higher than 10 mm were compared, NT-proBNP values were higher in persons with AVPD lower than 10 mm (p < 0.05)., Conclusions: This population study found higher NT-proBNP concentrations in subjects with lower AVPD, and illustrates the potential diagnostic usefulness of NT-proBNP in clinical practice.
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- 2003
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14. [Left ventricular pseudoaneurysm in cardiac magnetic resonance imaging].
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Dicenta F, Estornell J, and Diago JL
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- Aneurysm, False surgery, Cardiac Surgical Procedures, Diagnosis, Differential, Heart Aneurysm surgery, Heart Ventricles surgery, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Treatment Outcome, Aneurysm, False diagnosis, Heart Aneurysm diagnosis, Heart Ventricles pathology
- Published
- 2003
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15. [The prevalence of angina and cardiovascular risk factors in the different autonomous communities of Spain: the PANES Study. Prevalencia de Angina en España].
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López-Bescós L, Cosín J, Elosua R, Cabadés A, de los Reyes M, Arós F, Diago JL, Asín E, Castro-Beiras A, and Marrugat J
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- Aged, Female, Humans, Male, Middle Aged, Prevalence, Risk Factors, Sex Distribution, Socioeconomic Factors, Spain epidemiology, Surveys and Questionnaires, Angina Pectoris epidemiology, Cardiovascular Diseases epidemiology
- Abstract
Introduction and Objective: The study of angina prevalence has received little attention in the analysis of the dimension of coronary heart disease. The aim of this study was to determine the prevalence of angina and cardiovascular risk factors in the 45- to 74-year-old population of the different autonomous regions of Spain., Methods: A sample of 10,248 subjects was recruited. Sampling was stratified by gender and age groups (45-54, 55-64 and 65 to 74 years), and proportional to the population distribution of the different autonomous regions. A multistage sampling was performed, firstly 200 villages were randomly selected, secondly three different socio-economic household were chosen. Sample unit was neighbouring households. Rose questionnaire of angina and a structured questionnaire to collect socio-demographic and risk factor variables were administered., Results: Angina prevalence in the 45- to 74-year-old Spanish population was 7.5%. The autonomous regions with the higher and lower prevalence were Baleares (11.4%) and Basque Country (3.1%), respectively. The Pearson correlation coefficient between angina prevalence and ischemic heart disease or cardiovascular disease mortality in men and women was 0.52 and 0.55, and 0.31 and 0.44, respectively. The self reported prevalence of hypertension, dyslipemia, diabetes and smoking was 31.1%, 24.2%, 14.3% and 34.6% respectively., Conclusions: Angina prevalence in Spain is similar to that of developed countries although significant differences were observed among the autonomous regions of Spain. These differences correlate with those observed in ischemic heart disease or cardiovascular mortality among them and are associated with the cardiovascular risk factors prevalence which also varies among communities.
- Published
- 1999
16. Long-term results of the Spanish trial on treatment and survival of patients with predominantly mild heart failure.
- Author
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Cosín-Aguilar J, Marrugat J, Sanz G, Massó J, Gil M, Vargas R, Pérez-Casar F, Simarro E, De Armas D, García-García J, Azpitarte J, Diago JL, Rodrigo-Trallero G, Lekuona I, Domingo E, and Marin-Huerta E
- Subjects
- Aged, Aged, 80 and over, Angiotensin-Converting Enzyme Inhibitors adverse effects, Angiotensin-Converting Enzyme Inhibitors therapeutic use, Captopril adverse effects, Captopril therapeutic use, Cardiac Output, Low diagnostic imaging, Cardiac Output, Low mortality, Cardiac Output, Low physiopathology, Cardiotonic Agents adverse effects, Cardiotonic Agents therapeutic use, Digoxin adverse effects, Digoxin therapeutic use, Diuretics adverse effects, Diuretics therapeutic use, Drug Therapy, Combination, Exercise Test, Female, Humans, Male, Middle Aged, Quality of Life, Spain, Survival Analysis, Ultrasonography, Cardiac Output, Low drug therapy
- Abstract
A randomized open-label clinical trial was conducted to determine whether mortality, readmission, or quality of life differed between heart failure patients managed with captopril plus diuretics and those with digoxin plus diuretics. A total of 345 heart failure patients in New York Heart Association functional classes 2 and 3 without atrial fibrillation, dyspnea of bronchopulmonary origin, or hypertension not controlled with diuretics was randomized for digoxin (n = 175) or captopril (n = 170) treatment and followed up for a median of 4.5 years. Socioeconomic, demographic, electrocardiographic, echocardiographic, spirometric, and chest radiograph data were obtained at the initial examination. In a random sample of half the patients, ergometric, echocardiographic, and Holter records were obtained at entry and at 3 and 18 months. Patients were followed up for > or = 3 years. The end points were mortality, hospitalization for cardiac events, deterioration in quality of life, worsening of functional class, and need for digoxin or captopril in the captopril and digoxin groups, respectively. The trial had to be terminated prematurely owing to the difficulty in finding candidates free of angiotensin-converting enzyme (ACE)-inhibitor treatment. Baseline patient characteristics were similar in both groups. From the clinical point of view, only the 48-month mortality was relevantly lower (20.9 vs. 31.9%, respectively) among patients treated with captopril than that in those receiving digoxin (log rank test, p = 0.07). No statistically or clinically relevant differences were found in other end points or adverse effects. The results suggest but do not confirm the hypothesis that captopril treatment in mild to moderate heart failure might provide better long-term survival than digoxin.
- Published
- 1999
- Full Text
- View/download PDF
17. Prevalence of angina pectoris in Spain. PANES Study group.
- Author
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Cosín J, Asín E, Marrugat J, Elosua R, Arós F, de los Reyes M, Castro-Beiras A, Cabadés A, Diago JL, López-Bescos L, and Vila J
- Subjects
- Aged, Cross-Sectional Studies, Female, Humans, Male, Middle Aged, Prevalence, Risk Factors, Sensitivity and Specificity, Spain epidemiology, Surveys and Questionnaires, Angina Pectoris epidemiology
- Abstract
The frequency of coronary heart disease in a community is usually measured by myocardial infarction incidence and mortality rates. The measurement of the prevalence of angina pectoris may, however, become a convenient way of assessing coronary heart disease morbidity in the future. The aim of this study was to determine the prevalence of angina and validity of the Rose questionnaire in the Spanish population aged from 45 to 74 years. A cross-sectional study was conducted in 10,248 subjects (45-74 years), representative of the Spanish population. The WHO Rose questionnaire was used and a construct validation against regional mortality rates and cardiovascular risk factor prevalence was devised. The overall angina prevalence increased with age both in men and women, but was higher in the latter (7.3% and 7.7%, respectively). Angina prevalence also increased with the number of cardiovascular risk factors present and correlated with regional CHD mortality rates (r = 0.66). Sensitivity and specificity results of the Rose questionnaire were low when tested against exercise test (52.9% and 52.1%, respectively). As conclusions, Rose questionnaire is a reliable tool for assessing angina prevalence in the Spanish population which is similar to that of other industrialized countries with higher myocardial infarction morbidity and mortality.
- Published
- 1999
- Full Text
- View/download PDF
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