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5. Turkish nursing students’ attitudes towards voluntary induced abortion

Author

Yanikkerem, E. and Ertem, G. and Üstgörül, S. and Karakus, A. and Baydar, O. and Esmeray, N., Manisa Celal Bayar University, Faculty of Health Science, Turkey, and Ege University, Faculty of Nursing, Turkey

Subjects
education
Abstract

Objective: To evaluate Turkish nursing students' attitudes towards voluntary induced abortion. Methods: This cross-sectional study was conducted between January and June 2015, comprising students of Ege University Nursing Faculty and Celal Bayar University School of Health, located in two different cities of Turkey. Data was collected with a three-part questionnaire, focussing on students' characteristics, the knowledge of abortion law in Turkey and attitudes towards voluntary induced abortion. SPSS 15 was used for data analysis. Results: The mean score of students' attitude towards voluntary induced abortion was 39.8±7.9 which shows that nursing students moderately support abortion. Female students, students coming from upper class in society, and students who had higher family income and sexual experiences had more supportiveness attitudes towards voluntary induced abortion (p

Published
2018

6. Two-dimensional strain and strain rate imaging of the left atrium and left ventricle in adult patients with atrial septal defects before and after the later stage of percutaneous device closure

Author

Cakal, S., Eroglu, E., Baydar, O., Cakal, B., Yazicioglu, M.V., Bulut, M., Esen, A.M., Cakal, S., Eroglu, E., Baydar, O., Cakal, B., Yazicioglu, M.V., Bulut, M., Esen, A.M., and Yeditepe Üniversitesi

Subjects
speckle tracking, atrial septal defect, strain rate imaging, percutaneous closure
Abstract

Aim Atrial septal defect (ASD) causes chronic volume overload of the right heart. The potential adverse effects of this long-standing volume overload to left atrium (LA) and left ventricle (LV) and their response to ASD closure has been poorly studied. Methods We studied 20 ASD patients before the procedure, at the 24-hour and 1 month following the percutaneous closure. Twenty age-matched controls served as the control group. The analysis for atrial deformation was performed on the lateral wall, mid segment of the LA from apical four-chamber view. Peak longitudinal strain (S) and strain rate (SR) during LA reservoir, passive emptying, atrial contraction phases and LV global longitudinal systolic S and SR were measured. Results Peak S and SR at LA reservoir, conduit and late contraction phases in ASD patients were similar to controls. All of these parameters increased immediately after the closure of the defect. Similarly, SLV and SRLV in ASD patients were not significantly different from the controls and significantly increased after the closure. But LA S, SR and LV S, SR results decreased in 1 month after the closure. SLV in ASD patients was significantly correlated with echocardiographic findings and the invasively measured defect size. Conclusion LA and LV S and SR are not significantly affected in ASD patients. However, correction of the long-standing volume overload by percutaneous closure causes an early increase in LA and LV longitudinal deformation that correlates with the magnitude of the atrial septal defect. But this increase decreased in 1 month after closure. © 2014, Wiley Periodicals, Inc.

Published
2015

7. Poster Session Saturday 14 December - AM: 14/12/2013 08:30-12:30 * Location: Poster area

Author

Muraru, D., Addetia, K., Veronesi, F., Corsi, C., Mor-Avi, V., Yamat, M., Weinert, L., Lang, R., Badano, L., Faita, F., Di Lascio, N., Bruno, R., 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, B., Nastase, O., Coman, M., Ghiorghiu, I., Calin, A., Rosca, M., Beladan, C., Ginghina, C., Grapsa, J., Cabrita, I., Durighel, G., O'regan, 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, J., Lomax, S., Putzu, P., Diercx, R., Parsons, S., Dicken, B., 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, E., Soderberg, S., Gonzales, M., Gustavsson, S., Henein, M., 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, F., Giovanni Antonelli, G., Roberta Molle, R., Matteo Bertini, M., Stefano Lunghetti, S., Sergio Mondillo, S., 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., 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, J., 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, V., Karjalainen, P., Lehtinen, T., Airaksinen, J., Ylitalo, A., Kiviniemi, T., Gargiulo, P., Galderisi, M., D' Amore, C., Lo Iudice, F., Savarese, G., Casaretti, L., Pellegrino, A., Fabiani, I., La Mura, L., Perrone Filardi, P., Kim, J. Y., Chung, W., Yu, J., Choi, Y., Park, C., Youn, H., Lee, M., Nagy, A., Manouras, A., Gunyeli, E., Gustafsson, U., Shahgaldi, K., Winter, R., Johnsson, J., Zagatina, A., Krylova, L., Zhuravskaya, N., Vareldzyan, Y., Tyurina, T., Clitsenko, O., Khalifa, E. A., Ashour, Z., Elnagar, W., Jung, I., Seo, H., Lee, S., Lim, D., Mizariene, V., Verseckaite, R., Janenaite, J., Jonkaitiene, R., Sanchez Espino, A., Bonaque Gonzalez, J., Merchan Ortega, G., Bolivar Herrera, N., Ikuta, I., Macancela Quinones, J., 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., Moss, J., Nayak, H., Al Amri, I., Debonnaire, P., Van Der Kley, F., Schalij, M., Bax, J., Ajmone Marsan, N., Delgado, V., Schmidt, F. P., Gniewosz, T., Jabs, A., Munzel, T., Jansen, T., Kaempfner, D., Hink, U., Von Bardeleben, R., Jose, J., George, O., Joseph, G., Adawi, S., Najjar, R., Ahronson, D., Shiran, A., Van Riel, A., Boerlage - Van Dijk, K., De Bruin - Bon, H., Araki, M., Meregalli, P., Koch, K., Vis, M., Mulder, B., Baan, J., Bouma, B., Marciniak, A., Elton, D., Glover, K., Campbell, I., Sharma, R., Batalha, S., Lourenco, C., Oliveira Da Silva, C., Caballero, L., Garcia-Lara, J., Gonzalez-Carrillo, J., Oliva, M., Saura, D., Garcia-Navarro, M., Espinosa, M., Pinar, E., Valdes, M., De La Morena, G., Barreiro Perez, M., Lopez Perez, M., Roy, D., Brecker, S., Venkateshvaran, A., Dash, P. K., Sola, S., Barooah, B., Govind, S. C., Brodin, L. A., Saura Espin, D., Caballero Jimenez, L., Gonzalez Carrillo, J., Oliva Sandoval, M., Lopez Ruiz, M., Garcia Navarro, M., Espinosa Garcia, M., Valdes Chavarri, M., De La Morena Valenzuela, G., Gatti, G., Dell'angela, L., Pinamonti, B., Benussi, B., Sinagra, G., Pappalardo, A., 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., Yoon, J., Sohn, J., Kim, Y., Chang, H., Hong, G., Kim, T., Ha, J., Choi, B., Rim, S., Choi, E., Tibazarwa, K., Sliwa, K., Wonkam, A., Mayosi, B., 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, K., Ugur Coskun, U., Polat Canbolat, P., Veysel Oktay, V., Umit Yasar Sinan, U., Okay Abaci, O., Cuneyt Kocas, C., Sinan Uner, S., Serdar Kucukoglu, S., Zaroui, A., Mourali, M., Ben Said, R., Asmi, M., Aloui, H., Kaabachi, N., Mechmeche, R., Saberniak, J., Hasselberg, N., Borgquist, R., Platonov, P., Holst, A., Edvardsen, T., Haugaa, K., 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., 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., Ozen, G., Durmus, E., Kivrak, T., Atas, H., Direskeneli, H., Stevanovic, A., Dekleva, M., Trajic, S., Paunovic, N., Simic, A., Khan, S., Mushemi-Blake, S., Jouhra, F., Dennes, W., Monaghan, M., Melikian, N., Shah, A., Maceira Gonzalez, A. M., Lopez-Lereu, M., Monmeneu, J., 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., Cosin-Sales, J., Ruvira, J., Diago, J., Aguilar, J., Cruz, C., Pinho, T., Madureira, A., Lebreiro, A., Dias, C., 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, E., Wohlmut, C., Kellenberger, C., Valsangiacomo Buechel, E., Carrero, C., Benger, J., Parcerisa, M., Falconi, M., Oberti, P., Granja, M., Cagide, A., 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, M., Deising, J., Butz, T., Suermeci, G., Liebeton, J., Wennemann, R., Tzikas, S., Van Bracht, M., Prull, M., 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., Piatkowski, R., Kochanowski, J., Scislo, P., Opolski, G., Vareldzhyan, Y., Bombardini, T., Gherardi, S., Leone, O., Michelotto, E., Ciccarone, A., Tarantino, N., Ostuni, V., Rubino, M., Genco, W., Santoro, G., Carretta, D., Romito, R., Colonna, P., Cameli, M., Lunghetti, S., Lisi, M., Curci, V., Cameli, P., Focardi, M., Favilli, R., 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, Y., 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., D'hooge, 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., Sitges, M., Kordybach, M., Kowalski, M., Hoffman, P., Pilichowska, E., Baran, J., Kulakowski, P., 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., Andrea, R., Falces, C., Perez-Villa, F., Sulemane, S., Panoulas, V., Bratsas, A., Tam, F., Abduch, M., Alencar, A., Coracin, F., Barban, A., Saboya, R., Dulley, F., Mathias, W., Vieira, M., Buccheri, S., Mangiafico, S., Arcidiacono, A., Bottari, V., Leggio, S., Tamburino, C., Monte, I. P., 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, W., Umar, F., Edwards, N., Townend, J., Steeds, R., Leyva, F., Mihaila, S., Piasentini, E., Peluso, D., Casablanca, S., Naso, P., Puma, L., Iliceto, S., Vinereanu, D., Ciciarello, F. L., Agati, L., Cimino, S., De Luca, L., Petronilli, V., Fedele, F., and Tsverava, M.

Subjects
medicine.medical_specialty, Bundle branch block, business.industry, Left bundle branch block, Speckle tracking echocardiography, General Medicine, 030204 cardiovascular system & hematology, medicine.disease, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, medicine.anatomical_structure, Radial function, Ventricle, Internal medicine, Cardiology, medicine, Radiology, Nuclear Medicine and imaging, In patient, Cardiology and Cardiovascular Medicine, business
Published
2013
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8. Left atrial function measured by cardiac magnetic resonance in patients with heart failure: clinical associations and prognostic value

Author

Muraru, D., Addetia, K., Veronesi, F., Corsi, C., Mor-Avi, V., Yamat, M., Weinert, L., Lang, R., Badano, L., Faita, F., Di Lascio, N., Bruno, R., 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, B., Nastase, O., Coman, M., Ghiorghiu, I., Calin, A., Rosca, M., Beladan, C., Ginghina, C., Grapsa, J., Cabrita, I., Durighel, G., O'regan, 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, J., Lomax, S., Putzu, P., Diercx, R., Parsons, S., Dicken, B., 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, E., Soderberg, S., Gonzales, M., Gustavsson, S., Henein, M., 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, F., Giovanni Antonelli, G., Roberta Molle, R., Matteo Bertini, M., Stefano Lunghetti, S., Sergio Mondillo, S., 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., 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, J., 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, V., Karjalainen, P., Lehtinen, T., Airaksinen, J., Ylitalo, A., Kiviniemi, T., Gargiulo, P., Galderisi, M., D' Amore, C., Lo Iudice, F., Savarese, G., Casaretti, L., Pellegrino, A., Fabiani, I., La Mura, L., Perrone Filardi, P., Kim, J. Y., Chung, W., Yu, J., Choi, Y., Park, C., Youn, H., Lee, M., Nagy, A., Manouras, A., Gunyeli, E., Gustafsson, U., Shahgaldi, K., Winter, R., Johnsson, J., Zagatina, A., Krylova, L., Zhuravskaya, N., Vareldzyan, Y., Tyurina, T., Clitsenko, O., Khalifa, E. A., Ashour, Z., Elnagar, W., Jung, I., Seo, H., Lee, S., Lim, D., Mizariene, V., Verseckaite, R., Janenaite, J., Jonkaitiene, R., Sanchez Espino, A., Bonaque Gonzalez, J., Merchan Ortega, G., Bolivar Herrera, N., Ikuta, I., Macancela Quinones, J., 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., Moss, J., Nayak, H., Al Amri, I., Debonnaire, P., Van Der Kley, F., Schalij, M., Bax, J., Ajmone Marsan, N., Delgado, V., Schmidt, F. P., Gniewosz, T., Jabs, A., Munzel, T., Jansen, T., Kaempfner, D., Hink, U., Von Bardeleben, R., Jose, J., George, O., Joseph, G., Adawi, S., Najjar, R., Ahronson, D., Shiran, A., Van Riel, A., Boerlage - Van Dijk, K., De Bruin - Bon, H., Araki, M., Meregalli, P., Koch, K., Vis, M., Mulder, B., Baan, J., Bouma, B., Marciniak, A., Elton, D., Glover, K., Campbell, I., Sharma, R., Batalha, S., Lourenco, C., Oliveira Da Silva, C., Caballero, L., Garcia-Lara, J., Gonzalez-Carrillo, J., Oliva, M., Saura, D., Garcia-Navarro, M., Espinosa, M., Pinar, E., Valdes, M., De La Morena, G., Barreiro Perez, M., Lopez Perez, M., Roy, D., Brecker, S., Venkateshvaran, A., Dash, P. K., Sola, S., Barooah, B., Govind, S. C., Brodin, L. A., Saura Espin, D., Caballero Jimenez, L., Gonzalez Carrillo, J., Oliva Sandoval, M., Lopez Ruiz, M., Garcia Navarro, M., Espinosa Garcia, M., Valdes Chavarri, M., De La Morena Valenzuela, G., Gatti, G., Dell'angela, L., Pinamonti, B., Benussi, B., Sinagra, G., Pappalardo, A., 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., Yoon, J., Sohn, J., Kim, Y., Chang, H., Hong, G., Kim, T., Ha, J., Choi, B., Rim, S., Choi, E., Tibazarwa, K., Sliwa, K., Wonkam, A., Mayosi, B., 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, K., Ugur Coskun, U., Polat Canbolat, P., Veysel Oktay, V., Umit Yasar Sinan, U., Okay Abaci, O., Cuneyt Kocas, C., Sinan Uner, S., Serdar Kucukoglu, S., Zaroui, A., Mourali, M., Ben Said, R., Asmi, M., Aloui, H., Kaabachi, N., Mechmeche, R., Saberniak, J., Hasselberg, N., Borgquist, R., Platonov, P., Holst, A., Edvardsen, T., Haugaa, K., 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., 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., Ozen, G., Durmus, E., Kivrak, T., Atas, H., Direskeneli, H., Stevanovic, A., Dekleva, M., Trajic, S., Paunovic, N., Simic, A., Khan, S., Mushemi-Blake, S., Jouhra, F., Dennes, W., Monaghan, M., Melikian, N., Shah, A., Maceira Gonzalez, A. M., Lopez-Lereu, M., Monmeneu, J., 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., Cosin-Sales, J., Ruvira, J., Diago, J., Aguilar, J., Cruz, C., Pinho, T., Madureira, A., Lebreiro, A., Dias, C., 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, E., Wohlmut, C., Kellenberger, C., Valsangiacomo Buechel, E., Carrero, C., Benger, J., Parcerisa, M., Falconi, M., Oberti, P., Granja, M., Cagide, A., 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, M., Deising, J., Butz, T., Suermeci, G., Liebeton, J., Wennemann, R., Tzikas, S., Van Bracht, M., Prull, M., 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., Piatkowski, R., Kochanowski, J., Scislo, P., Opolski, G., Vareldzhyan, Y., Bombardini, T., Gherardi, S., Leone, O., Michelotto, E., Ciccarone, A., Tarantino, N., Ostuni, V., Rubino, M., Genco, W., Santoro, G., Carretta, D., Romito, R., Colonna, P., Cameli, M., Lunghetti, S., Lisi, M., Curci, V., Cameli, P., Focardi, M., Favilli, R., 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, Y., 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., D'hooge, 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., Sitges, M., Kordybach, M., Kowalski, M., Hoffman, P., Pilichowska, E., Baran, J., Kulakowski, P., 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., Andrea, R., Falces, C., Perez-Villa, F., Sulemane, S., Panoulas, V., Bratsas, A., Tam, F., Abduch, M., Alencar, A., Coracin, F., Barban, A., Saboya, R., Dulley, F., Mathias, W., Vieira, M., Buccheri, S., Mangiafico, S., Arcidiacono, A., Bottari, V., Leggio, S., Tamburino, C., Monte, I. P., 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, W., Umar, F., Edwards, N., Townend, J., Steeds, R., Leyva, F., Mihaila, S., Piasentini, E., Peluso, D., Casablanca, S., Naso, P., Puma, L., Iliceto, S., Vinereanu, D., Ciciarello, F. L., Agati, L., Cimino, S., De Luca, L., Petronilli, V., Fedele, F., and Tsverava, M.

Published
2013
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9. Churg-Strauss syndrome presenting with pericardial effusion: Case report

Author

Onur Kaypakli, Şahin, D. Y., Baydar, O., Hanta, I., Özyilmaz, E., Kanadaşi, M., and Çukurova Üniversitesi

Subjects
surgical procedures, operative, Churg-Strauss syndrome, Eosinophilia, otorhinolaryngologic diseases, cardiovascular system, Pericardial effusion, cardiovascular diseases, respiratory tract diseases
Abstract

Churg-Strauss Syndrome (CSS) is a rare autoimmune systemic necrotizing vasculitis of unknown cause which is characterized by eosinophilic infiltration of small vessels and extravascular granulomas. Cardiac involvement, the main determinant of prognosis, is seen 17-92% in CSS. Cardiac involvement in CSS includes eosinophilic myocarditis, coronary vasculitis, coronary artery dissection, valvular heart disease, systolic dysfunction, cardiac conduction defects, arrhythmias, pericarditis and ventricular thrombus. Pericardial effusion, which is usually found incidentally with echocardiography, is a well known type of cardiac involvement in CSS and is generally well tolerated. In this report we describe a 24 year old female patient with CSS, presented with exertion and cold related dyspnea, cough, wheezing; and with moderate pericardial effusion, eosinophilia and lung infiltrates. Copyright © 2013 by Türkiye Klinikleri.

Published
2013

10. Determination of risk factors associated with colorectal cancer and compliance with fecal occult blood testing among patients aged 50 years and over in primary health care [Bi·ri·nci· basamakta 50 yaş ve üzeri· bi·reylerde kolorektal kanser i·le i·li·şki·li· olabi·lecek bazi faktörleri·n ve gai·tada gi·zli· kan tetki·ki·ne uyumun degerlendi·ri·lmesi·]

Author

Acar-Vaizoglu S., Turhan T., Temel F., Bolat Ö., Baydar O., Bacanli A., Asarcikli F., and Çukurova Üniversitesi

Subjects
Melena, Early detection of cancer, Occult blood, Anemia, Middle aged, Colorectal neoplasms
Abstract

Introduction: Our aim was to determine some risk factors for colorectal cancer, evaluate the knowledge about colorectal cancer among patients aged 50 years and over and their compliance with fecal occult blood test. Materials and Method: The study was conducted among 103 patients aged 50 years and over. Data were collected by a questionnaire form including 31 questions. Guaiac-based fecal occult blood test was used. Results: The mean age of participants was 58.5±7.3; 25.2% were males and 74.8% were females; 79.6% were married; 49.5% were graduates of primary school. Of the participants, 82.5% stated that none of their relatives were diagnosed with an intestinal disease. The mean colorectal cancer knowledge score was 7.3 ± 1.9. Six males and 13 females were diagnosed with anemia. 96.0% (71 patients) of the patients who brought their fecal specimen at least once, and 68.9% of the participants of the study completed the questionnaire form and brought fecal specimens on 3 consecutive days. Only one participant was positive for fecal occult blood test. Conclusion: Patients admitting to health centers should be informed on colorectal cancer, its risk factors and screening tests for early diagnosis. Compliance to fecal occult blood testing is relatively high in patients aged 50 and over, and it may be useful in primary care centers.

Published
2010

12. Supermarkt voor meeste Nederlanders op loopafstand

Author

Baydar, O., Melser, C., Zuurmond, M., Baydar, O., Melser, C., and Zuurmond, M.

Abstract

De dichtstbijzijnde supermarkt bevindt zich in Nederland gemiddeld op 0,9 kilometer afstand. Acht op de tien Nederlanders hebben binnen een afstand van 1 kilometer minimaal één supermarkt.

Published
2010

22. Poster session 6: Saturday 6 December 2014, 08:30-12:30 * Location: Poster area

Author

Goirigolzarri Artaza, J, Gallego Delgado, M, Jaimes Castellanos, CP, Cavero Gibanel, MA, Pastrana Ledesma, MA, Alonso Pulpon, LA, Gonzalez Mirelis, J, Al Ansi, R Z, Sokolovic, S, Cerin, G, Szychta, W, Popa, B A, Botezatu, D, Benea, D, Manganiello, S, Corlan, A, Jabour, A, Igual Munoz, B, Osaca Asensi, JOA, Andres La Huerta, AALH, Maceira Gonzalez, AMG, Estornell Erill, JEE, Cano Perez, OCP, Sancho-Tello, MJSTDC, Alonso Fernandez, PAF, Sepulveda Sanchez, PSS, Montero Argudo, AMA, Palombo, C, Morizzo, C, Baluci, M, Kozakova, M, Panajotu, A, Karady, J, Szeplaki, G, Horvath, T, Tarnoki, DL, Jermendy, AL, Geller, L, Merkely, B, Maurovich-Horvat, P, Group, MTA-SE "Lendület" Cardiovascular Imaging Research, Moustafa, S, Mookadam, F, Youssef, M, Zuhairy, H, Connelly, M, Prieur, T, Alvarez, N, Ashikhmin, Y, Drapkina, O, Boutsikou, M, Demerouti, E, Leontiadis, E, Petrou, E, Karatasakis, G, Kozakova, M, Morizzo, C, Bianchi, V, Marchi, B, Federico, G, Palombo, C, Chatzistamatiou, E, Moustakas, G, 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R, Brodin, LA, Govind, S C, Mizariene, V, Verseckaite, R, Bieseviciene, M, Karaliute, R, Jonkaitiene, R, Vaskelyte, J, Arzanauskiene, R, Janenaite, J, Jurkevicius, R, Rosner, S, Orban, M, Nadjiri, J, Lesevic, H, Hadamitzky, M, Sonne, C, Manganaro, R, Carerj, S, Cusma-Piccione, MC, Caprino, A, Boretti, I, Todaro, MC, Falanga, G, Oreto, L, D'angelo, MC, Zito, C, Le Tourneau, T, Cueff, C, Richardson, M, Hossein-Foucher, C, Fayad, G, Roussel, JC, Trochu, JN, Vincentelli, A, Obase, K, Weinert, L, Lang, R, Cavalli, G, Muraru, D, Miglioranza, MH, Addetia, K, Veronesi, F, Cucchini, U, Mihaila, S, Tadic, M, Lang, RM, Badano, L, Polizzi, V, Pino, PG, Luzi, G, Bellavia, D, Fiorilli, R, Chialastri, C, Madeo, A, Malouf, J, Buffa, V, Musumeci, F, Gripari, P, Tamborini, G, Bottari, V, Maffessanti, F, Carminati, C, Muratori, M, Vignati, C, Bartorelli, A, Alamanni, F, Pepi, M, Polymeros, S, Dimopoulos, A, Spargias, K, Karatasakis, G, Athanasopoulos, G, Pavlides, G, Dagres, N, Vavouranakis, E, 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Figueiredo, L, and Cruz Ferreira, R

Abstract

Introduction: The increase of left auricular volume (LAV) is a robust cardiovascular event predictor. Despite that echochardiography is more often used, cardiac MRI is considered more accurate. Our objetives are to validate "fast" LAV measures by MRI vs the considered gold standard (GS) and to compare Echo and MRI in a wide spectrum of patients. Methods: In a non-selected popullation with MRI study previously realized, we measured LAV by biplane method (BPMR) and by area-length in 4 chamber view (ALMR) and compared them with biplane (BPe) and discs method (MDDe) in 4 chamber view in echo. To validate MRI measurements, we measured LAV in short axis slices (Simpson Method, SM) in a group of patients and considered it the GS. Results: 186 patients were included (mean age 51 ± 17 age; 123 male; 14 in AF) with clinical indication of cardiac MRI (Philips 1,5 T). In 24 patients SM was calculated. 29% of cardiac MRI were considered normal. Mean underlying pathologies were myocardiopathy (27%), Ischemic myocardiopathy (17%), myopericarditis (10%), prior to AF ablation (4%), valvular disease (6%) and miscellaneous (7%). Excellent correlation was obtained between "fast" MRI measurements and SM in MRI (SM vs BPMR interclass correlation coefficient ICC=0.965 and SM vs ALMR, ICC=0.958; P<0.05) with low interobserver variability (ICC=0.983 for SM; ICC=0.949 for BPMR; ICC=0.931 for ALMR). "Fast" measurements by MRI showed stadistical correlation between them (CCI=0.910) (Figure). Correlation between Echo and MRI measures was only moderate. (BPRM vs BPe CCI=0,469 mean difference -30 ml; ALMR vs MDDe ICC=0,456 mean difference -24 mL). Conclusions: ‘fast’ LAV measures by MRI are comparable with the MRI GS and also between them. Echo values seem to underestimate compared to MRI, so its use may not be suitable.

Published
2014
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23. Poster session 3: Thursday 4 December 2014, 14:00-18:00 * Location: Poster area

Author

Shahgaldi, K, Hegner, T, Da Silva, C, Fukuyama, A, Takeuchi, M, Uema, A, Kado, Y, Nagata, Y, Hayashi, A, Otani, K, Fukuda, S, Yoshitani, H, Otsuji, Y, Morhy, S, Lianza, AC, Afonso, TR, Oliveira, WA, Tavares, GP, Rodrigues, AC, Vieira, MC, Warth, AN, Deutsch, AD, Fischer, CH, Tezynska-Oniszk, I, Turska-Kmiec, A, Kawalec, W, Dangel, J, Maruszewski, B, Bokiniec, R, Burczynski, P, Borszewska-Kornacka, K, Ziolkowska, L, Zuk, M, Mazowsza, eSUM Dzieciaki, Troshina, A, Dzhalilova, DA, Poteshkina, NG, Hamitov, FF, Warita, S, Kawasaki, M, Tanaka, R, Yagasaki, H, Minatoguchi, S, Wanatabe, T, Ono, K, Noda, T, Wanatabe, S, Minatoguchi, S, Angelis, A, Ageli, K, Vlachopoulos, C, Felekos, I, Ioakimidis, N, Aznaouridis, K, Vaina, S, Abdelrasoul, M, Tsiamis, E, Stefanadis, C, Cameli, M, Sparla, S, D'ascenzi, F, Fineschi, M, Favilli, R, Pierli, C, Henein, M, Mondillo, S, Lindqvist, P, Tossavainen, E, Gonzalez, M, Soderberg, S, Henein, M, Holmgren, A, Strachinaru, M, Catez, E, Jousten, I, Pavel, O, Janssen, C, Morissens, M, Chatzistamatiou, E, Moustakas, G, Memo, G, Konstantinidis, D, Mpampatzeva Vagena, I, Manakos, K, Traxanas, K, Vergi, N, Feretou, A, Kallikazaros, I, Tsai, W-C, Sun, Y-T, Lee, W-H, Yang, L-T, Liu, Y-W, Lee, C-H, Li, W-T, Mizariene, V, Bieseviciene, M, Karaliute, R, Verseckaite, R, Vaskelyte, J, Lesauskaite, V, Chatzistamatiou, E, Mpampatseva Vagena, I, Manakos, K, Moustakas, G, Konstantinidis, D, Memo, G, Mitsakis, O, Kasakogias, A, Syros, P, Kallikazaros, I, Hristova, K, Cornelissen, G, Singh, RB, Shiue, I, Coisne, D, Madjalian, A-M, Tchepkou, C, Raud Raynier, P, Degand, B, Christiaens, L, Baldenhofer, G, Spethmann, S, Dreger, H, Sanad, W, Baumann, G, Stangl, K, Stangl, V, Knebel, F, Azzaz, S, Kacem, S, Ouali, S, Risos, L, Dedobbeleer, C, Unger, P, Sinem Cakal, SC, Elif Eroglu, EE, Baydar, O, Beytullah Cakal, BC, Mehmet Vefik Yazicioglu, MVY, Mustafa Bulut, MB, Cihan Dundar, CD, Kursat Tigen, KT, Birol Ozkan, BO, Ali Metin Esen, AME, Tournoux, F, Chequer, R, Sroussi, M, Hyafil, F, Rouzet, F, Leguludec, D, Baum, P, Stoebe, S, Pfeiffer, D, Hagendorff, A, Fang, F, Lau, M, Zhang, Q, Luo, XX, Wang, XY, Chen, L, Yu, CM, -CRT, Predict, Zaborska, B, Smarz, K, Makowska, E, Kulakowski, P, Budaj, A, Bengrid, T M, Zhao, Y, Henein, M Y, Caminiti, G, D'antoni, V, Cardaci, V, Conti, V, Volterrani, M, Warita, S, Kawasaki, M, Yagasaki, H, Minatoguchi, S, Nagaya, M, Ono, K, Noda, T, Watanabe, S, Houle, H, Minatoguchi, S, Gillebert, T C, Chirinos, J A, Claessens, T C, Raja, M W, De Buyzere, M L, Segers, P, Rietzschel, E R, Investigators, The Asklepios, Kim, KH, Cha, JJ, Chung, HM, Kim, JY, Yoon, YW, Lee, BK, Hong, BK, Rim, SJ, Kwon, HM, Choi, EY, Pyankov, V, Aljaroudi, W, Matta, S, Al-Shaar, L, Habib, R, Gharzuddin, W, Arnaout, S, Skouri, H, Jaber, W, Abchee, A, Bouzas Mosquera, A, Peteiro, J, Broullon, FJ, Constanso Conde, IP, Bescos Galego, H, Martinez Ruiz, D, Yanez Wonenburger, JC, Vazquez Rodriguez, JM, Alvarez Garcia, N, Castro Beiras, A, Gunyeli, E, Oliveira Da Silva, C, Shahgaldi, K, Manouras, A, Winter, R, Meimoun, P, Abouth, S, Martis, S, Boulanger, J, Elmkies, F, Zemir, H, Detienne, JP, Luycx-Bore, A, Clerc, J, Rodriguez Palomares, J F, Gutierrez, LG, Maldonado, GM, Garcia, GG, Galuppo, VG, Gruosso, DG, Teixido, GT, Gonzalez Alujas, MTGA, Evangelista, AE, Garcia Dorado, DGD, Rechcinski, T, Wierzbowska-Drabik, K, Wejner-Mik, P, Szymanska, B, Jerczynska, H, Lipiec, P, Kasprzak, JD, El-Touny, K, El-Fawal, S, Loutfi, M, El-Sharkawy, E, Ashour, S, Boniotti, C, Carminati, MC, Fusini, L, Andreini, D, Pontone, G, Pepi, M, Caiani, EG, Oryshchyn, N, Kramer, B, Hermann, S, Liu, D, Hu, K, Ertl, G, Weidemann, F, Ancona, F, Miyazaki, S, Slavich, M, Figini, F, Latib, A, Chieffo, A, Montorfano, M, Alfieri, O, Colombo, A, Agricola, E, Nogueira, MA, Branco, LM, Rosa, SA, Portugal, G, Galrinho, A, Abreu, J, Cacela, D, Patricio, L, Fragata, J, Cruz Ferreira, R, Igual Munoz, B, Erdociain Perales, MEP, Maceira Gonzalez, AMG, Estornell Erill Jordi, JEE, Donate Bertolin, LDB, Vazquez Sanchez Alejandro, AVS, Miro Palau Vicente, VMP, Cervera Zamora, ACZ, Piquer Gil, MPG, Montero Argudo, AMA, Girgis, H Y A, Illatopa, V, Cordova, F, Espinoza, D, Ortega, J, Khan, US, Islam, AKMM, Majumder, AAS, Girgis, H Y A, Bayat, F, Naghshbandi, E, Naghshbandi, E, Samiei, N, Samiei, N, Malev, E, Omelchenko, M, Vasina, L, Zemtsovsky, E, Piatkowski, R, Kochanowski, J, Budnik, M, Scislo, P, Opolski, G, Kochanowski, J, Piatkowski, R, Scislo, P, Budnik, M, Marchel, M, Opolski, G, Abid, L, Ben Kahla, S, Abid, D, Charfeddine, S, Maaloul, I, Ben Jmaa, M, Kammoun, S, Hashimoto, G, Suzuki, M, Yoshikawa, H, Otsuka, T, Isekame, Y, Yamashita, H, Kawase, I, Ozaki, S, Nakamura, M, Sugi, K, Benvenuto, E, Leggio, S, Buccheri, S, Bonura, S, Deste, W, Tamburino, C, Monte, I P, Gripari, P, Fusini, L, Muratori, M, Tamborini, G, Ghulam Ali, S, Bottari, V, Cefalu', C, Bartorelli, A, Agrifoglio, M, Pepi, M, Zambon, E, Iorio, A, Di Nora, C, Abate, E, Lo Giudice, F, Di Lenarda, A, Agostoni, P, Sinagra, G, Timoteo, A T, Galrinho, A, Moura Branco, L, Rio, P, Aguiar Rosa, S, Oliveira, M, Silva Cunha, P, Leal, A, Cruz Ferreira, R, Zemanek, D, Tomasov, P, Belehrad, M, Kostalova, J, Kara, T, Veselka, J, Hassanein, M, El Tahan, S, El Sharkawy, E, Shehata, H, Yoon, YE, Choi, HM, Seo, HY, Lee, SP, Kim, HK, Youn, TJ, Kim, YJ, Sohn, DW, Choi, GY, Mielczarek, M, Huttin, O, Voilliot, D, Sellal, JM, Manenti, V, Carillo, S, Olivier, A, Venner, C, Juilliere, Y, Selton-Suty, C, Butz, T, Faber, L, Brand, M, Piper, C, Wiemer, M, Noelke, J, Sasko, B, Langer, C, Horstkotte, D, Trappe, HJ, Maysou, LA, Tessonnier, L, Jacquier, A, Serratrice, J, Copel, C, Stoppa, AM, Seguier, J, Saby, L, Verschueren, A, Habib, G, Petroni, R, Bencivenga, S, Di Mauro, M, Acitelli, A, Cicconetti, M, Romano, S, Petroni, A, Penco, M, Maceira Gonzalez, A M, Cosin-Sales, J, Igual, B, Sancho-Tello, R, Ruvira, J, Mayans, J, Choi, JH, Kim, SWK, Almeida, A, Azevedo, O, Amado, J, Picarra, B, Lima, R, Cruz, I, Pereira, V, Marques, N, Biering-Sorensen, T, Mogelvang, R, Schnohr, P, Jensen, JS, Chatzistamatiou, E, Konstantinidis, D, Manakos, K, Mpampatseva Vagena, I, Moustakas, G, Memo, G, Mitsakis, O, Kasakogias, A, Syros, P, Kallikazaros, I, Cho, EJ, Kim, JJ, Hwang, BH, Kim, DB, Jang, SW, Jeon, HK, Cho, JS, Chatzistamatiou, E, Konstantinidis, D, Memo, G, Mpapatzeva Vagena, I, Moustakas, G, Manakos, K, Traxanas, K, Vergi, N, Feretou, A, Kallikazaros, I, Jedrzejewska, I, Konopka, M, Krol, W, Swiatowiec, A, Dluzniewski, M, Braksator, W, Sefri Noventi, S, Sugiri, S, Uddin, I, Herminingsih, S, Arif Nugroho, M, Boedijitno, S, Caro Codon, J, Blazquez Bermejo, Z, Valbuena Lopez, S C, Lopez Fernandez, T, Rodriguez Fraga, O, Torrente Regidor, M, Pena Conde, L, Moreno Yanguela, M, Buno Soto, A, Lopez-Sendon, J L, Stevanovic, A, Dekleva, M, Kim, MN, Kim, SA, Kim, YH, Shim, JM, Park, SM, Park, SW, Kim, YH, Shim, WJ, Kozakova, M, Muscelli, E, Morizzo, C, Casolaro, A, Paterni, M, Palombo, C, Bayat, F, Nazmdeh, M, Naghshbandi, E, Nateghi, S, Tomaszewski, A, Kutarski, A, Brzozowski, W, Tomaszewski, M, Nakano, E, Harada, T, Takagi, Y, Yamada, M, Takano, M, Furukawa, T, Akashi, Y, Lindqvist, G, Henein, MY, Backman, C, Gustafsson, S, Morner, S, Marinov, R, Hristova, K, Geirgiev, S, Pechilkov, D, Kaneva, A, Katova, TZ, Pilosoff, V, Pena Pena, ML, Mesa Rubio, D, Ruiz Ortin, M, Delgado Ortega, M, Romo Penas, E, Pardo Gonzalez, L, Rodriguez Diego, S, Hidalgo Lesmes, F, Pan Alvarez-Ossorio, M, Suarez De Lezo Cruz-Conde, J, Gospodinova, M, Sarafov, S, Guergelcheva, V, Vladimirova, L, Tournev, I, Denchev, S, Mozenska, O, Segiet, A, Rabczenko, D, Kosior, DA, Gao, SA, Eliasson, M, Polte, CL, Lagerstrand, K, Bech-Hanssen, O, Morosin, M, Piazza, R, Leonelli, V, Leiballi, E, Pecoraro, R, Cinello, M, Dell' Angela, L, Cassin, M, Sinagra, G, Nicolosi, GL, Savu, O, Carstea, N, Stoica, E, Macarie, C, Moldovan, H, Iliescu, V, Chioncel, O, Moral, S, Gruosso, D, Galuppo, V, Teixido, G, Rodriguez-Palomares, JF, Gutierrez, L, Evangelista, A, Jansen Klomp, W W, Peelen, LM, Spanjersberg, AJ, Brandon Bravo Bruinsma, GJ, Van 'T Hof, AWJ, Laveau, F, Hammoudi, N, Helft, G, Barthelemy, O, Michel, PL, Petroni, T, Djebbar, M, Boubrit, L, Le Feuvre, C, Isnard, R, Cho, EJ, Park, S-J, Kim, CH, Song, JE, Kim, SH, Chang, S-A, Lee, S-C, Park, SW, Bandera, F, Generati, G, Pellegrino, M, Alfonzetti, E, Labate, V, Villani, S, Gaeta, M, Guazzi, M, Gabriels, C, Lancellotti, P, Van De Bruaene, A, Voilliot, D, De Meester, P, Buys, R, Delcroix, M, Budts, W, Cruz, I, Stuart, B, Caldeira, D, Morgado, G, Almeida, AR, Lopes, LR, Fazendas, P, Joao, I, Cotrim, C, Pereira, H, Weissler Snir, A, Greenberg, G, Shapira, Y, Weisenberg, D, Monakier, D, Nevzorov, R, Sagie, A, Vaturi, M, Bando, M, Yamada, H, Saijo, Y, Takagawa, Y, Sawada, N, Hotchi, J, Hayashi, S, Hirata, Y, Nishio, S, Sata, M, Jackson, TA, Sammut, E, Siarkos, M, Lee, L, Carr-White, G, Rajani, R, Kapetanakis, S, Ciobotaru, V, Yagasaki, H, Kawasaki, M, Tanaka, R, Minatoguchi, S, Sato, N, Amano, K, Warita, S, Ono, K, Noda, T, Minatoguchi, S, Breithardt, O-A, Razavi, H, Nabutovsky, Y, Ryu, K, Gaspar, T, Kosiuk, J, John, S, Prinzen, F, Hindricks, G, Piorkowski, C, Nemchyna, O, Tovstukha, V, Chikovani, A, Golikova, I, Lutai, M, Nemes, A, Kalapos, A, Domsik, P, Lengyel, C, Orosz, A, Forster, T, Nordenfur, T, Babic, A, Giesecke, A, Bulatovic, I, Ripsweden, J, Samset, E, Winter, R, Larsson, M, Blazquez Bermejo, Z, Lopez Fernandez, T, Caro Codon, J, Valbuena, SC, Caro Codon, J, Mori Junco, R, Moreno Yanguela, M, Lopez-Sendon, JL, MEdicamentos, Grupo de Estudio de CArdiotoxicidad por, Pinto-Teixeira, P, Branco, L, Galrinho, A, Oliveira, M, Cunha, P, Silva, T, Rio, P, Feliciano, J, Nogueira-Silva, M, Ferreira, R, Shkolnik, E, Vasyuk, Y, Nesvetov, V, Shkolnik, L, Varlan, G, Bajraktari, G, Ronn, F, Ibrahimi, P, Jashari, F, Jensen, SM, Henein, MY, Kang, M-K, Mun, H-S, Choi, S, Cho, J-R, Han, SW, Lee, N, Cho, I J, Heo, R, Chang, HJ, Shin, S, Shim, CY, Hong, GR, and Chung, N

Abstract

Objective:  We aimed to investigate the reproducibility of vena contracta (VC) in mitral regurgitation (MR) of different etiology between an inexperienced and an experienced echocardiographer. Background: MR is the second most common valvular heart disease in Europe that requires surgery.  Echocardiography is the principal modality of investigation when MR is suspected. In European and American guidelines VC is described as one of the most feasible echocardiographic measurements in the assessment of MR. There is a lack of publications regarding intra-observer variability and studies comparing inexperienced and experienced echocardiographers for the assessment of VC. Method/Material: VC of 55 recorded 2D echocardiograms with known MR of different degree and etiology were analyzed from parasternal long axis view, 4- and 3 chamber view. The mean value of the different plane measurements of each exam was used for statistical analysis. Analyses were made by an inexperienced (A) fellow echocardiographer (<100 studies) and a level 3 experienced (B) echocardiographer. Measurements of VC by the 2 echocardiographers were performed blinded to clinical data. Measurements were performed with at least 2 weeks apart, blinded to the first measurement. Results: Three exams were excluded (feasibility 95%) from statistical analysis because adequate color Doppler images from all tree planes was not available. The inter class correlation (ICC) between the first and second analysis was (r=0.75; 95% CI -1.1 to 1.7mm) for A and (r=0.94; 95% CI -0.76 to 0.84mm) for B. There was good ICC between the 2 echocardiographers (r=0.78; 95% CI -1.5 to 1.3mm). The intra observer variability was 11.1% for A and 6.1% for B. The inter observer variability was 11.7% (p>0.05 for all). Conclusion: Measurement of vena contracta in mitral regurgitation is a feasible semi-quantitative parameter. Good correlation and narrow limits of agreement between a novice and an experienced echocardiographer was demonstrated in our study.

Published
2014
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24. Poster session Thursday 12 December - AM: 12/12/2013, 08:30-12:30 * Location: Poster area

Author

Abdovic, E, Abdovic, S, Hristova, K, Hristova, K, Katova, TZ, Katova, TZ, Gocheva, N, Gocheva, N, Pavlova, M, Pavlova, M, Gurzun, M M, Ionescu, A, Canpolat, U, Yorgun, H, Sunman, H, Sahiner, L, Kaya, EB, Ozer, N, Tokgozoglu, L, Kabakci, G, Aytemir, K, Oto, A, Gonella, A, Dascenzo, F, Casasso, F, Conte, E, Margaria, F, Grosso Marra, W, Frea, S, Morello, M, Bobbio, M, Gaita, F, Seo, HY, Lee, SP, Lee, JM, Yoon, YE, Park, E, Kim, HK, Park, SJ, Lee, H, Kim, YJ, Sohn, DW, Nemes, A, Domsik, P, Kalapos, A, Orosz, A, Lengyel, C, Forster, T, Enache, R, Muraru, D, Popescu, BA, Calin, A, Nastase, O, Botezatu, D, Purcarea, F, Rosca, M, Beladan, CC, Ginghina, C, Canpolat, U, Aytemir, K, Ozer, N, Yorgun, H, Sahiner, L, Kaya, EB, Oto, A, Trial, Turkish Atrial Fibrosis, Muraru, D, Piasentini, E, Mihaila, S, Padayattil Jose, S, Peluso, D, Ucci, L, Naso, P, Puma, L, Iliceto, S, Badano, LP, Cikes, M, Jakus, N, Sutherland, GR, Haemers, P, Dhooge, J, Claus, P, Yurdakul, S, Oner, FATMA, Direskeneli, HANER, Sahin, TAYLAN, Cengiz, BETUL, Ercan, G, Bozkurt, AYSEN, Aytekin, SAIDE, Osa Saez, A M, Rodriguez-Serrano, M, Lopez-Vilella, R, Buendia-Fuentes, F, Domingo-Valero, D, Quesada-Carmona, A, Miro-Palau, VE, Arnau-Vives, MA, Palencia-Perez, M, Rueda-Soriano, J, Lipczynska, M, Piotr Szymanski, PS, Anna Klisiewicz, AK, Lukasz Mazurkiewicz, LM, Piotr Hoffman, PH, Kim, KH, Cho, SK, Ahn, Y, Jeong, MH, Cho, JG, Park, JC, Chinali, M, Franceschini, A, Matteucci, MC, Doyon, A, Esposito, C, Del Pasqua, A, Rinelli, G, Schaefer, F, group, the 4C study, Kowalik, E, Klisiewicz, A, Rybicka, J, Szymanski, P, Biernacka, EK, Hoffman, P, Lee, S, Kim, W, Yun, H, Jung, L, Kim, E, Ko, J, Ruddox, V, Norum, IB, Edvardsen, T, Baekkevar, M, Otterstad, JE, Erdei, T, Edwards, J, Braim, D, Yousef, Z, Fraser, AG, Cardiff, Investigators, MEDIA, Melcher, A, Reiner, B, Hansen, A, Strandberg, LE, Caidahl, K, Wellnhofer, E, Kriatselis, C, Gerd-Li, H, Furundzija, V, Thnabalasingam, U, Fleck, E, Graefe, M, Park, YJ, Moon, JG, Ahn, TH, 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, Ferferieva, V, Claus, P, Rademakers, F, Dhooge, J, Le, T T, Wong, P, Tee, N, Huang, F, Tan, RS, Altman, M, Logeart, D, Bergerot, C, Gellen, B, Pare, C, Gerard, S, Sirol, M, Vicaut, E, Mercadier, JJ, Derumeaux, G A, investigators, PREGICA, Park, T-H, Park, J-I, Shin, S-W, Yun, S-H, Lee, J-E, Makavos, G, Kouris, N, Keramida, K, Dagre, A, Ntarladimas, I, Kostopoulos, V, Damaskos, D, Olympios, CD, Leong, DP, Piers, SRD, Hoogslag, GE, Hoke, U, Thijssen, J, Ajmone Marsan, N, Schalij, MJ, Bax, JJ, Zeppenfeld, K, Delgado, V, Rio, P, Branco, L, Galrinho, A, Cacela, D, Abreu, J, Timoteo, A, Teixeira, P, Pereira-Da-Silva, T, Selas, M, Cruz Ferreira, R, Popa, B A, Zamfir, L, Novelli, E, Lanzillo, G, Karazanishvili, L, Musica, G, Stelian, E, Benea, D, Diena, M, Cerin, G, Fusini, L, Mirea, O, Tamborini, G, Muratori, M, Gripari, P, Ghulam Ali, S, Cefalu, C, Maffessanti, F, Andreini, D, Pepi, M, Mamdoo, F, Goncalves, A, Peters, F, Matioda, H, Govender, S, Dos Santos, C, Essop, MR, Kuznetsov, V A, Yaroslavskaya, E I, Pushkarev, G S, Krinochkin, D V, Kolunin, G V, Bennadji, A, Hascoet, S, Dulac, Y, Hadeed, K, Peyre, M, Ricco, L, Clement, L, Acar, P, Ding, WH, Zhao, Y, Lindqvist, P, Nilson, J, Winter, R, Holmgren, A, Ruck, A, Henein, MY, Illatopa, V, Cordova, F, Espinoza, D, Ortega, J, Cavalcante, JL, Patel, MT, Katz, W, Schindler, J, Crock, F, Khanna, MK, Khandhar, S, Tsuruta, H, Kohsaka, S, Murata, M, Yasuda, R, Tokuda, H, Kawamura, A, Maekawa, Y, Hayashida, K, Fukuda, K, Le Tourneau, T, Kyndt, F, Lecointe, S, Duval, D, Rimbert, A, Merot, J, Trochu, JN, Probst, V, Le Marec, H, Schott, JJ, Veronesi, F, Addetia, K, Corsi, C, Lamberti, C, Lang, RM, Mor-Avi, V, Gjerdalen, G F, Hisdal, J, Solberg, EE, Andersen, TE, Radunovic, Z, Steine, K, Maffessanti, F, Gripari, P, Tamborini, G, Muratori, M, Fusini, L, Ferrari, C, Caiani, EG, Alamanni, F, Bartorelli, AL, Pepi, M, Dascenzi, F, Cameli, M, Iadanza, A, Lisi, M, Reccia, R, Curci, V, Sinicropi, G, Henein, M, Pierli, C, Mondillo, S, Rekhraj, S, Hoole, SP, Mcnab, DC, Densem, CG, Boyd, J, Parker, K, Shapiro, LM, Rana, BS, Kotrc, M, Vandendriessche, T, Bartunek, J, Claeys, MJ, Vanderheyden, M, Paelinck, B, De Bock, D, De Maeyer, C, Vrints, C, Penicka, M, Silveira, C, Albuquerque, ESA, Lamprea, DL, Larangeiras, VL, Moreira, CRPM, Victor Filho, MVF, Alencar, BMA, Silveira, AQMS, Castillo, JMDC, Zambon, E, Iorio, A, Carriere, C, Pantano, A, Barbati, G, Bobbo, M, Abate, E, Pinamonti, B, Di Lenarda, A, Sinagra, G, Salemi, V M C, Tavares, L, Ferreira Filho, JCA, Oliveira, AM, Pessoa, FG, Ramires, F, Fernandes, F, Mady, C, Cavarretta, E, Lotrionte, M, Abbate, A, Mezzaroma, E, De Marco, E, Peruzzi, M, Loperfido, F, Biondi-Zoccai, G, Frati, G, Palazzoni, G, Park, T-H, Lee, J-E, Lee, D-H, Park, J-S, Park, K, Kim, M-H, Kim, Y-D, Van T Sant, J, 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Abstract

Purpose: Atrial fibrillation (AF) is the most prevalent sustained arrhythmia. It is a disease of the elderly and it is common in patients (pts) with structural heart disease. Hypertension (HA), hypertensive heart disease (HHD), diabetes mellitus (DM), coronary artery disease (CAD), heart failure (HF), and valvular heart disease (VHD) are recognized predisposing factors to AF. Objectives: To echocardiographicly disclose the most common predisposing morbidities to AF in our population sample. Methods: From June 2000 to February 2013, 3755 consecutive pts with AF were studied during echocardiographic check-up. According to transthoracic echo, pts were divided in groups based on dominative underlying heart diseases. Electrocardiographically documented AF was subdivided in two groups: transitory and chronic. Transitory AF fulfilled criteria for paroxysmal or persistent AF. Chronic AF were cases of long-standing persistent or permanent AF. Results: The median age was 72 years, age range between 16 and 96 years. There were 51.4% of females. Chronic AF was observed in 68.3% pts. Distribution of underlying heart diseases is shown in figure. Lone AF was diagnosed in only 25 pts, mostly in younger males (median age 48 years, range 29–59, men 80%). Chronic AF was predominant in groups with advanced cardiac remodeling such as dilatative cardiomyopaty (DCM) and VHD, mostly in elderly. HA and DM were found in 75.4% and 18.8%, respectively. Almost 1/2 of pts with AF had HF and 59.2% had diastolic HF. Conclusion: Up to now, echocardiographic categorization of the predisposing factors to AF was not reported. Echocardiographic evaluation of patients with AF could facilitate in identification and well-timed treatment of predisposing comorbidites. Figure Etiological distribution of AF

Published
2013
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25. Poster Session Saturday 14 December - AM: 14/12/2013, 08:30-12:30 * Location: Poster area

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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 - 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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
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26. A YOLO-V5 approach for the evaluation of normal fillings and overhanging fillings: an artificial intelligence study.

Author

Akgül N, Yilmaz C, Bilgir E, Çelik Ö, Baydar O, and Bayrakdar İŞ

Subjects
Humans, Reproducibility of Results, Artificial Intelligence, Reference Values, Algorithms, Radiography, Panoramic, Dental Restoration, Permanent methods
Abstract

Dental fillings, frequently used in dentistry to address various dental tissue issues, may pose problems when not aligned with the anatomical contours and physiology of dental and periodontal tissues. Our study aims to detect the prevalence and distribution of normal and overhanging filling restorations using a deep CNN architecture trained through supervised learning, on panoramic radiography images. A total of 10480 fillings and 2491 overhanging fillings were labeled using CranioCatch software from 2473 and 1850 images, respectively. After the data obtaining phase, validation (80%), training 10%), and test-groups (10%) were formed from images for both labelling. The YOLOv5x architecture was used to develop the AI model. The model's performance was assessed through a confusion matrix and sensitivity, precision, and F1 score values of the model were calculated. For filling, sensitivity is 0.95, precision is 0.97, and F1 score is 0.96; for overhanging were determined to be 0.86, 0.89, and 0.87, respectively. The results demonstrate the capacity of the YOLOv5 algorithm to segment dental radiographs efficiently and accurately and demonstrate proficiency in detecting and distinguishing between normal and overhanging filling restorations.

Published
2024
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27. Second mesiobuccal canal segmentation with YOLOv5 architecture using cone beam computed tomography images.

Author

Duman ŞB, Çelik Özen D, Bayrakdar IŞ, Baydar O, Alhaija ESA, Helvacioğlu Yiğit D, Çelik Ö, Jagtap R, Pileggi R, and Orhan K

Subjects
Humans, Tooth Root, Maxilla anatomy & histology, Cone-Beam Computed Tomography methods, Dental Pulp Cavity diagnostic imaging, Artificial Intelligence
Abstract

The objective of this study is to use a deep-learning model based on CNN architecture to detect the second mesiobuccal (MB2) canals, which are seen as a variation in maxillary molars root canals. In the current study, 922 axial sections from 153 patients' cone beam computed tomography (CBCT) images were used. The segmentation method was employed to identify the MB2 canals in maxillary molars that had not previously had endodontic treatment. Labeled images were divided into training (80%), validation (10%) and testing (10%) groups. The artificial intelligence (AI) model was trained using the You Only Look Once v5 (YOLOv5x) architecture with 500 epochs and a learning rate of 0.01. Confusion matrix and receiver-operating characteristic (ROC) analysis were used in the statistical evaluation of the results. The sensitivity of the MB2 canal segmentation model was 0.92, the precision was 0.83, and the F1 score value was 0.87. The area under the curve (AUC) in the ROC graph of the model was 0.84. The mAP value at 0.5 inter-over union (IoU) was found as 0.88. The deep-learning algorithm used showed a high success in the detection of the MB2 canal. The success of the endodontic treatment can be increased and clinicians' time can be preserved using the newly created artificial intelligence-based models to identify variations in root canal anatomy before the treatment., (© 2023. The Author(s), under exclusive licence to The Society of The Nippon Dental University.)

Published
2024
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28. An artificial intelligence study: automatic description of anatomic landmarks on panoramic radiographs in the pediatric population.

Author

Bağ İ, Bilgir E, Bayrakdar İŞ, Baydar O, Atak FM, Çelik Ö, and Orhan K

Subjects
Humans, Child, Radiography, Panoramic methods, Reproducibility of Results, Mandible diagnostic imaging, Artificial Intelligence, Anatomic Landmarks diagnostic imaging
Abstract

Background: Panoramic radiographs, in which anatomic landmarks can be observed, are used to detect cases closely related to pediatric dentistry. The purpose of the study is to investigate the success and reliability of the detection of maxillary and mandibular anatomic structures observed on panoramic radiographs in children using artificial intelligence., Methods: A total of 981 mixed images of pediatric patients for 9 different pediatric anatomic landmarks including maxillary sinus, orbita, mandibular canal, mental foramen, foramen mandible, incisura mandible, articular eminence, condylar and coronoid processes were labelled, the training was carried out using 2D convolutional neural networks (CNN) architectures, by giving 500 training epochs and Pytorch-implemented YOLO-v5 models were produced. The success rate of the AI model prediction was tested on a 10% test data set., Results: A total of 14,804 labels including maxillary sinus (1922), orbita (1944), mandibular canal (1879), mental foramen (884), foramen mandible (1885), incisura mandible (1922), articular eminence (1645), condylar (1733) and coronoid (990) processes were made. The most successful F1 Scores were obtained from orbita (1), incisura mandible (0.99), maxillary sinus (0.98), and mandibular canal (0.97). The best sensitivity values were obtained from orbita, maxillary sinus, mandibular canal, incisura mandible, and condylar process. The worst sensitivity values were obtained from mental foramen (0.92) and articular eminence (0.92)., Conclusions: The regular and standardized labelling, the relatively larger areas, and the success of the YOLO-v5 algorithm contributed to obtaining these successful results. Automatic segmentation of these structures will save time for physicians in clinical diagnosis and will increase the visibility of pathologies related to structures and the awareness of physicians., (© 2023. BioMed Central Ltd., part of Springer Nature.)

Published
2023
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29. The Relationship of Systolic Pulmonary Artery Pressure with Perioperative Mortality and Morbidity in Patients Undergoing Non-Cardiac Surgery: A Single-Center Experience.

Author

Cengiz Elçioglu B, Gürsoy E, Helvacı F, Tefik N, Baydar O, Kılıç A, Demirci Y, Aslan G, Yurtseven E, Aytekin V, and Aytekin S

Subjects
Humans, Retrospective Studies, Echocardiography, Morbidity, Pulmonary Artery diagnostic imaging, Hypertension, Pulmonary epidemiology
Abstract

Objective: Pulmonary hypertension (PH) is associated with adverse perioperative events in patients undergoing non-cardiac surgery. In this study, we aimed to investigate the relationship between systolic pulmonary artery pressure (sPAP), evaluated by transthoracic echocardiography (TTE) before surgery, and perioperative mortality and morbidity in patients who underwent non-cardiac surgery in our center., Methods: Of the 3425 retrospectively screened patients who underwent non-cardiac surgery, 3049 patients whose estimated sPAP values were previously determined by TTE were included in the study. Patients were classified into 3 groups according to their estimated sPAP levels. sPAP <35 mmHg formed group 1, 35-39 mmHg group 2, and ≥ 40 mmHg group 3. All demographic and perioperative data obtained from the database of our institute were compared in three groups., Results: Of the 3049 patients enrolled in the study, 2406 (78.9%) were in group 1, 259 (8.5%) in group 2, and 384 (12.6%) in group 3. Thirty-day all-cause mortality was observed in 82 (2.7%) patients, cardiac mortality occurred in 9 patients (0.3%). In the group with sPAP ≥40 mmHg, cardiac mortality was 0.5% and all-cause mortality was 7.3%. Thirty-day all-cause mortality, acute pulmonary edema, and acute renal failure were significantly higher in group 3 than in the other groups. Cardiac mortality did not differ significantly between the groups. Age, sPAP value, and chronic obstructive pulmonary disease history were revealed as independent predictors of all-cause mortality in multivariate logistic regression analysis., Conclusion: In conclusion, increased sPAP is associated with adverse postoperative outcomes. The evaluation of sPAP with TTE before non-cardiac surgery in patients whose clinical features and examination findings suggest PH may contribute to preoperative risk assessment.

Published
2023
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30. Evaluation of Aortic Elasticity Parameters Measured by Transthoracic Echocardiography in a Normotensive Population: A Single-Center Study.

Author

Cengiz Elçioglu B, Kılıç A, Baydar O, Şahin ŞT, Çelik HG, Aytekin V, and Aytekin S

Subjects
Female, Humans, Male, Atherosclerosis diagnostic imaging, Echocardiography, Retrospective Studies, Adult, Middle Aged, Age Factors, Heart Disease Risk Factors, Reference Values, Aorta diagnostic imaging, Aorta physiology, Elasticity physiology
Abstract

Objective: Impaired arterial elastic features is one of the earliest manifestations of atherosclerosis in the vessel wall and is associated with the development of cardiovascular disease and increased mortality and morbidity. In this study, we aimed to investigate the mean values of aortic elasticity parameters in a normotensive population with transthoracic echocardiography and to evaluate these values in different age groups and their relationship with other risk factors., Methods: This retrospective study included 405 subjects who met the inclusion criteria among 2880 individuals screened between 2020 and 2022. The study population was divided into 5 groups according to their age. Aortic elasticity parameters (aortic strain, aortic stiffness index, and aortic distensibility) were calculated from the associated formulas by measurements made from the ascending aorta in the parasternal long axis., Results: In 405 subjects (mean age 42.18 ± 10.39, 54.3% female), the mean aortic strain value was 15.14 ± 3.56%, the mean aortic stiffness index was 3.24 ± 1.05, and the mean aortic distensibility was 7.48 ± 2.36 cm2/dyn1/103. It was observed that aortic strain and distensibility values significantly decreased with increasing age groups, while aortic stiffness significantly increased. All 3 aortic elasticity parameters were strongly correlated to age. In the multivariate linear regression analysis, age was found to be an independent factor for all aortic elasticity parameters., Conclusion: Aortic elasticity parameters can be evaluated with transthoracic echocardiography in daily practice. Comparing these measurements with normal values in similar age groups may help to detect patients with increased cardiovascular risk in the early period, regardless of the other risk factors.

Published
2023
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31. Assessing the Effectiveness of Artificial Intelligence Models for Detecting Alveolar Bone Loss in Periodontal Disease: A Panoramic Radiograph Study.

Author

Uzun Saylan BC, Baydar O, Yeşilova E, Kurt Bayrakdar S, Bilgir E, Bayrakdar İŞ, Çelik Ö, and Orhan K

Abstract

The assessment of alveolar bone loss, a crucial element of the periodontium, plays a vital role in the diagnosis of periodontitis and the prognosis of the disease. In dentistry, artificial intelligence (AI) applications have demonstrated practical and efficient diagnostic capabilities, leveraging machine learning and cognitive problem-solving functions that mimic human abilities. This study aims to evaluate the effectiveness of AI models in identifying alveolar bone loss as present or absent across different regions. To achieve this goal, alveolar bone loss models were generated using the PyTorch-based YOLO-v5 model implemented via CranioCatch software, detecting periodontal bone loss areas and labeling them using the segmentation method on 685 panoramic radiographs. Besides general evaluation, models were grouped according to subregions (incisors, canines, premolars, and molars) to provide a targeted evaluation. Our findings reveal that the lowest sensitivity and F1 score values were associated with total alveolar bone loss, while the highest values were observed in the maxillary incisor region. It shows that artificial intelligence has a high potential in analytical studies evaluating periodontal bone loss situations. Considering the limited amount of data, it is predicted that this success will increase with the provision of machine learning by using a more comprehensive data set in further studies.

Published
2023
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32. Effects of Ketamine Infusion on Oxygenation in Patients with Chronic Obstructive Pulmonary Disease Undergoing Lung Cancer Surgery.

Author

Karacaer F, Biricik E, Ilgınel M, Laflı Tunay D, Baydar O, Avcı A, and Ünlügenç H

Abstract

Objective: Ketamine changes respiratory mechanics, provides airway relaxation, and alleviates bronchospasm in patients with pulmonary disease. This study investigated the effect of a continuous infusion of ketamine during thoracic surgery on arterial oxygenation (PaO2/FiO2) and the shunt fraction (Qs/Qt) in patients with chronic obstructive pulmonary disease., Methods: Thirty patients older than 40 years, diagnosed with chronic obstructive pulmonary disease, and undergoing lobectomy were recruited for this study. Patients were allocated randomly to 1 of 2 groups. At the induction of anaesthesia, group K received intravenous (iv) 1 mg kg-1 ketamine as a bolus and followed by 0.5 mg kg-1 h-1 infusion until the end of the operation. Group S received the same amount of 0.9% saline as a bolus at induction and followed by a 0.5-mL kg-1 h-1 infusion of 0.9% saline until the end of the operation. PaO2 and PaCO2 values, FiO2 levels, PaO2/FiO2 ratio, peak airway pressure (Ppeak), plateau airway pressure (Pplat), dynamic compliance, and shunt fraction (Qs/Qt) were recorded during two-lung ventilation as a baseline and at 30 (one-lung ventilation, OLV-30) and 60 (OLV-60) minutes during one-lung ventilation., Results: PaO2, PaCO2, PaO2/FiO2 values, and Qs/Qt ratio were similar between the 2 groups at OLV-30 minute (P = .36, P = .29, P = .34). However, at OLV-60 minute, PaO2, PaO2/FiO2 values were significantly increased, and Qs/Qt ratios were significantly decreased in group K than in group S (P = .016, P = .011, P = .016)., Conclusions: Our data suggest that a continuous infusion of ketamine and desflurane inhalation in patients with chronic obstructive pulmonary disease during one-lung ventilation increase arterial oxygenation (PaO2/FiO2) and decrease shunt fraction.

Published
2023
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33. The U-Net Approaches to Evaluation of Dental Bite-Wing Radiographs: An Artificial Intelligence Study.

Author

Baydar O, Różyło-Kalinowska I, Futyma-Gąbka K, and Sağlam H

Abstract

Bite-wing radiographs are one of the most used intraoral radiography techniques in dentistry. AI is extremely important in terms of more efficient patient care in the field of dentistry. The aim of this study was to perform a diagnostic evaluation on bite-wing radiographs with an AI model based on CNNs. In this study, 500 bite-wing radiographs in the radiography archive of Eskişehir Osmangazi University, Faculty of Dentistry, Department of Oral and Maxillofacial Radiology were used. The CranioCatch labeling program (CranioCatch, Eskisehir, Turkey) with tooth decays, crowns, pulp, restoration material, and root-filling material for five different diagnoses were made by labeling the segmentation technique. The U-Net architecture was used to develop the AI model. F1 score, sensitivity, and precision results of the study, respectively, caries 0.8818-0.8235-0.9491, crown; 0.9629-0.9285-1, pulp; 0.9631-0.9843-0.9429, with restoration material; and 0.9714-0.9622-0.9807 was obtained as 0.9722-0.9459-1 for the root filling material. This study has shown that an AI model can be used to automatically evaluate bite-wing radiographs and the results are promising. Owing to these automatically prepared charts, physicians in a clinical intense tempo will be able to work more efficiently and quickly.

Published
2023
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34. The triglyceride-glucose index and contrast-induced nephropathy in non-ST elevation myocardial infarction patients undergoing percutaneous coronary intervention.

Author

Gursoy E and Baydar O

Subjects
Humans, Male, Female, Glucose, Triglycerides, Retrospective Studies, Contrast Media adverse effects, Risk Factors, Risk Assessment, Percutaneous Coronary Intervention adverse effects, Non-ST Elevated Myocardial Infarction surgery, Non-ST Elevated Myocardial Infarction etiology, Kidney Diseases diagnosis
Abstract

The triglyceride glucose (TyG) index is an indicator of insulin resistance and associated with increased risk of diabetes mellitus and cardiovascular events. Our study investigates the correlation between TyG index and contrast induced nephropathy (CIN) in non-diabetic patients with non-ST elevation myocardial infarction (NSTEMI) undergoing percutaneous coronary intervention (PCI). 350 non-diabetic NSTEMI patients (183, 52.3% male) undergoing PCI were retrospectively enrolled. The enrolled cohort was divided into 2 groups based on the calculated TyG index, namely values < 8.65 or higher. CIN was defined as an increase in serum creatinine > 25% or 0.5 mg/dL from baseline in the first 48 to 72 hours after PCI. A total of 56 (16%) cases of CIN were diagnosed. In contrast to patients with lower TyG indexes, patients with higher TyG indexes (≥8.65) had a higher frequency of CIN, 9.5%. versus 20.8% respectively (P .004). Patients with CIN also had higher TyG indexes (8.74 ± 0.12 vs 8.67 ± 0.11, P < .001). In addition, TyG index, age, and glomerular filtration rate were identified as independent risk factors for CIN in logistic regression model (OR: 2.5 CI: 1.3-4.6, P .006, OR: 1.0 CI: 1.0-1.1, P < .001, OR: 1.0 KI: 1.03-1.06, P .025). In the ROC analysis, the area under the curve predictive of CIN was 0.666 (P < .001, 95% [CI] 0.58-0.75) with a cutoff value of 8.69 (sensitivity 71,4%, specificity 55.1%) TyG index. Higher TyG indexes are associated with an increased risk of CIN in non-diabetic patients with NSTEMI., Competing Interests: The authors have no funding and conflicts of interest to disclose., (Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc.)

Published
2023
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35. Relationship between the triglyceride-glucose index and the SYNTAX score 2 in patients with non-ST elevation myocardial infarction.

Author

Baydar O, Kilic A, and Gursoy E

Abstract

We evaluated if admissiontriglyceride-glucose index (TyG index) correlated with the anatomical synergy between percutaneous coronary intervention with taxus and cardiac surgery (SYNTAX) score 2 in non-ST elevation myocardial infarction (NSTEMI), nondiabetic patients., Methods: SYNTAX score 2 (SSII) was retrospectively evaluated in 260 nondiabetic patients hospitalized with NSTEMI who underwent coronary angiography. The TyG index was calculated using the following equation: log [fasting triglycerides (mg/dl) × fasting glucose (mg/dl)/2]. We stratified patients according to tertiles of SSII (≤21.5, 21.5-30.6, and ≥30.6). These score ranges were defined as SSII low, SSII mid, and SSII high, respectively., Results: The average age of the patients was 57.2 ± 10.9 years; 135 patients (52.2%) were males. The average TyG index was 8.68 ± 0.12, and SSII was 18.9 ± 9.9. A moderate correlation was found between TyG index and SSII ( r = 0.347; P < 0.001) and TyG index was independent risk factors for SSII high [odds ratio (OR), 6.0; 95% CI, 2.7-17.0; P < 0.001]., Conclusion: In nondiabetic patients with NSTEMI, TyG index correlated with the SSII., Competing Interests: There are no conflicts of interest., (Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc.)

Published
2023
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36. Adulthood asthma as a consequence of childhood adversity: a systematic review of epigenetically affected genes.

Author

Saygideger Y, Özkan H, Baydar O, and Yilmaz O

Subjects
Child, Adult, Humans, Epigenesis, Genetic, Inflammation, Adverse Childhood Experiences, Asthma genetics
Abstract

There is an accumulating data that shows relation between childhood adversity and vulnerability to chronic diseases as well as epigenetic influences that in turn give rise to these diseases. Asthma is one of the chronic diseases that is influenced from genetic regulation of the inflammatory biomolecules and therefore the hypothesis in this research was childhood adversity might have caused epigenetic differentiation in the asthma-related genes in the population who had childhood trauma. To test this hypothesis, the literature was systematically reviewed to extract epigenetically modified gene data of the adults who had childhood adversity, and affected genes were further evaluated for their association with asthma. PRISMA guidelines were adopted and PubMed and Google Scholar were included in the searched databases, to evaluate epigenetic modifications in asthma-related genes of physically, emotionally or sexually abused children. After retrieving a total of 5245 articles, 36 of them were included in the study. Several genes and pathways that may contribute to pathogenesis of asthma development, increased inflammation, or response to asthma treatment were found epigenetically affected by childhood traumas. Childhood adversity, causing epigenetic changes in DNA, may lead to asthma development or influence the course of the disease and therefore should be taken into account for the prolonged health consequences.

Published
2022
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37. Prognostic value of pulmonary artery pulsatility index in chronic heart failure patients with reduced ejection fraction.

Author

Yildiz O and Baydar O

Subjects
Humans, Prognosis, Pulmonary Artery diagnostic imaging, Retrospective Studies, Risk Factors, Stroke Volume, Heart Failure complications, Heart Failure diagnosis, Ventricular Dysfunction, Left, Ventricular Dysfunction, Right
Abstract

Background: The co-existence of right ventricular dysfunction (RVD) in heart failure patient with reduced ejection fraction (HFrEF) is an independent maker of poor prognosis. A novel right ventricular hemodynamic composite measure is the pulmonary artery pulsatility index (PAPi), which is the pulmonary artery pressure gradient ratio. It is a strong predictor of RVD in patients with acute inferior myocardial infarction and patients undergoing left ventricular assist device (LVAD) implantation. However, little is known about its prognostic value in patients with HFrEF., Methods: Between September 2010 and July 2013, 172 patients with HFrEF admitted to the tertiary hospital were included in this analysis. We carried out a cardiac catheterisation for each patient, at baseline. Subsequently, we evaluated both PAPi and the other hemodynamic parameters with longitudinal follow-up of adverse outcomes such as cardiac mortality, LVAD, and heart transplantation (HTx)., Results: During a median follow-up period of 52 months we observed 50 cardiac deaths, 12 LVAD implantations and 10 HTx. A threshold for PAPi value of 2.82 was ascertained (Area: 0.76, p  < 0.001, CI: 0.67-0.85, sensitivity 67%, specificity 69%). After dividing the study population into two groups, PAPi ≤2.82 and PAPi >2.82, no significant difference was demonstrated with respect to the aetiology of heart failure (ischaemic HFrEF p  = 0.29 and non-ischaemic HFrEF p  = 0.29). In Cox regression survival analysis, PAPi was an independent predictor of cardiac death (hazard ratio 0.73 [95% confidence interval 0.53-0.99], p  = 0.045)., Conclusion: In patients with HFrEF, a low PAPi value (<2.82) was associated with increased cardiac mortality risk.

Published
2022
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38. Evaluation of pulmonary arterial stiffness and comparison with right ventricular functions in patients with cirrhosis preparing for liver transplantation.

Author

Elçioğlu BC, Baydar O, Helvacı F, Karataş C, Aslan G, Kılıç A, Tefik N, Demir B, Gürsoy E, Demirci Y, Ural D, Kanmaz T, Aytekin V, and Aytekin S

Subjects
Adult, Humans, Male, Middle Aged, Stroke Volume, Vascular Remodeling, Ventricular Dysfunction, Right complications, Ventricular Dysfunction, Right diagnostic imaging, Ventricular Function, Left, Ventricular Function, Right, Hypertension, Pulmonary complications, Hypertension, Pulmonary diagnostic imaging, Liver Cirrhosis complications, Liver Cirrhosis surgery, Liver Transplantation adverse effects, Vascular Stiffness
Abstract

Objective: Pulmonary complications are common in patients with liver cirrhosis. Devolopment of pulmonary hypertension (PH) is associated with a poor prognosis in these patients. Pulmonary arterial stiffness (PAS) is considered an early sign of pulmonary vascular remodeling. The aim of this study is to investigate PAS and compare it with right ventricular (RV) functions in patients with cirrhosis who are scheduled for liver transplantation., Methods: The study included 52 cirrhosis patients (mean age 51.01 ± 12.18 years, male gender 76.9%) who were prepared for liver transplantation and 59 age and sex matched (mean age 51.28 ± 13.63 years, male gender 62.7%) healthy individuals. Patients with left ventricular ejection fraction (LVEF) less than 55%, ischemic heart disease, more than mild valvular heart disease, chronic pulmonary disease, congenital heart disease, rheumatic disease, moderate to high echocardiographic PH probability, rhythm or conduction disorders on electrocardiography were excluded from the study. In addition to conventional echocardiographic parameters, PAS value, pulmonary vascular resistance (PVR) and RV ejection efficiency was calculated by the related formulas with transthoracic echocardiography (TTE)., Results: Demographic characteristics and cardiovascular risk factors of the groups were similar. PAS, PVR, and sPAP values were found to be significantly higher in the patient group (20.52 ± 6.52 and 13.73 ± 2.05; 1.43 ± 0.15 and 1.27 ± 0.14; 27.69 ± 3.91 and 23.37 ± 3.81 p < 0.001, respectively). RV FAC and RV Ee were significantly lower and RV MPI was significantly higher in the patient group (45.31 ± 3.85 and 49.66 ± 3.62, p < 0.001; 1.69 ± 0.35 and 1.85 ± 0.23, p = 0.005; 0.39 ± 0.07 and 0.33 ± 0.09, p = 0.001, respectively). PAS was significantly correlated with RV FAC and MPI (r = -0.423, p < 0.001; r = 0.301, p = 0.001, respectively)., Conclusions: Increased PAS in cirrhosis patients may be associated with early pulmonary vascular involvement. Evaluation of RV functions is important to determine the prognosis in these patients. FAC, MPI, and RV Ee measurements instead of TAPSE or RV S' may be more useful in demonstrating subclinical dysfunction. The correlation of PAS with RV FAC and MPI may indicate that RV subclinical dysfunction is associated with early pulmonary vascular remodeling in patients with liver cirrhosis., (© 2022 Wiley Periodicals LLC.)

Published
2022
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39. Effects of iron deficiency on left ventricular functions in young women regardless of anemia: A speckle tracking echocardiography study.

Author

Elçioğlu BC, Baydar O, Kılıç A, Tefik N, Helvacı F, Gürsoy E, Demirci Y, Ural D, Aytekin V, and Aytekin S

Subjects
Humans, Female, Ventricular Function, Left, Reproducibility of Results, Echocardiography methods, Ferritins, Iron Deficiencies, Anemia
Abstract

Background: Iron deficiency is one of the most common metabolic disorders worldwide and affects multiple organs and systems including the cardiovascular (CV) system. Iron deficiency can cause structural and functional changes in the myocardium. The aim of the study is to evaluate left ventricular (LV) functions in patients with low ferritin levels without anemia by two-dimensional "speckle tracking" echocardiography (2D STE)., Methods: We studied 90 participants (all female) that were divided into two groups according to ferritin levels (49 patients with ferritin levels <30 ng/mL, 41 age-matched controls with >30 ng/mL). Patients with anemia (hemoglobin level <12 g/dL), known CV disease, diabetes mellitus, low ejection fraction (<55%), active infection, high ferritin levels (>200 ng/mL) were excluded. All patients were evaluated by transthoracic echocardiography. In addition to conventional echocardiographic parameters and Doppler measurements, LV global longitudinal strain (GLS) and strain rate (GLSR) were obtained by 2D STE., Results: Mean ferritin level was 18.96 ± 7.29 ng/mL in low ferritin group, and was 61.22 ± 26.14 ng/mL in control group. There were no significant differences according to conventional and Doppler echocardiographic parameters between the groups. LV GLS and GLSR values were significantly lower in low ferritin group comparing with control group (17.31% ± 1.56 and 18.96% ± 1.53, p < 0.001; 0.64 ± 0.13 1/s and 0.81 ± 0.13 1/s, p < 0.001, respectively). There was a significant positive correlation between ferritin levels and LV GLS and GLSR values in study group (r = 0.482, p < 0.001; r = 0.387, p < 0.001, respectively). Ferritin level was also detected as an independent risk factor for GLS value < -18% in logistic regression analysis. In ROC curve analysis, the area under the curve for predicting GLS < -18% was 0.801 (p < 0.001, 95% CI 0.70-0.89) and the threshold of ferritin value was 28.5 ng/mL (sensitivity 76.1%, specificity 77.3%)., Discussion: Low ferritin levels can cause subclinical LV systolic dysfunction in patients without anemia. STE provides detailed information about LV functions. With larger studies, these patients should be followed more closely and considered for iron replacement treatment before developing anemia.

Published
2022
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40. Safety of an Inactivated SARS-CoV-2 Vaccine Among Healthcare Workers in Turkey: An Online Survey

Author

Baydar O, Özen Ş, Öztürk Şahin B, Köktürk N, and Kitapçı MT

Subjects
Antibodies, Viral, Cross-Sectional Studies, Female, Health Personnel, Humans, Middle Aged, SARS-CoV-2, Surveys and Questionnaires, Turkey, COVID-19 prevention & control, COVID-19 Vaccines adverse effects
Abstract

Background: As vaccination against coronavirus disase-19 (COVID-19) evolves, hesitancy has become a problematic issue that has gradually spread worldwide. The main reason for vaccine hesitancy is uncertainties about vaccine side effects., Aims: To evaluate the safety of an inactivated COVID-19 vaccine, CoronaVac, and determine the risk factors of emergence of side effects., Study Design: Cross-sectional study., Methods: An online questionnaire was administered via the internet to healthcare workers who received one or two doses of CoronaVac. The online survey consisted of three sections detailing sociodemographic data, COVID-19 history, and post-vaccine side effects. Side effects that occurred in the period starting from immediately after the first vaccination to the end of the 14 th day after the second vaccination were recorded., Results: A total of 1628 healthcare workers responded to the online survey. Of these, 24.3% had a side effect either after the first or second dose of CoronaVac. Redness and/or pain at the inoculation site, headache, muscle and joint pains, palpitations, and dizziness were the most common side effects. Female sex, age <50 years, and thyroid disorder in the pre-vaccine period were found to be risk factors for the emergence of side effects. Blood pressure control could not be achieved in 2.2% of participants despite medication use, and permanent medication was needed in 2.5% of participants for blood pressure control., Conclusion: Almost a quarter of healthcare workers have at least one side effect after the first or second dose of CoronaVac. Female gender, age <50 years, and thyroid disorder appear to be risk factors for the occurrence of side effects.

Published
2022
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41. Is It Time to Consider Implementation of Telemedicine in Current Oral Health Care Services?

Author

Ilhan B, Bayrakdar IS, Baydar O, and Guneri P

Subjects
Delivery of Health Care, Humans, Pandemics prevention & control, SARS-CoV-2, COVID-19 epidemiology, Telemedicine
Abstract

Telemedicine offers an excellent opportunity to provide continuing health care for those in need during local/global pandemics and disasters. It provides a safe and effective communication tool between health professionals and can be used as "forward triage" to manage medical/dental emergencies and to minimize the contact between the patients and clinicians during the coronavirus disease (COVID-19) pandemic. Patients with noncommunicable diseases, like cancer, diabetes, cardiovascular, or chronic respiratory diseases, may present with critical health problems due to less access to health care systems during global disasters; opportunities for screening oral mucosa might be significantly disrupted, leading to delayed diagnosis of malignant/potentially malignant lesions. Telemedicine and oral health care associated mobile applications should be implemented to provide equal access to care, to eliminate unnecessary visits to health centers, and to improve practical coordination between professionals and health facilities.

Published
2022
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42. Relationship Between Fasting Glucose, HbA 1c Levels, and the SYNTAX Score 2 in Patients With Non-ST-Elevation Myocardial Infarction.

Author

Kilic A and Baydar O

Subjects
Aged, Coronary Angiography, Fasting, Glucose, Humans, Male, Middle Aged, Retrospective Studies, Risk Factors, Severity of Illness Index, Coronary Artery Disease diagnostic imaging, Non-ST Elevated Myocardial Infarction diagnostic imaging, Non-ST Elevated Myocardial Infarction surgery, Percutaneous Coronary Intervention
Abstract

We evaluated if admission glycosylated hemoglobin (HbA 1c ) and fasting glucose levels are correlated with the severity of coronary artery disease (CAD) in non-ST-elevation myocardial infarction (NSTEMI), nondiabetic, patients. Coronary artery disease severity, according to the anatomical synergy between percutaneous coronary intervention (PCI) with taxus and cardiac surgery (SYNTAX) score 2 (SSII), was retrospectively evaluated in 359 nondiabetic patients hospitalized with NSTEMI who underwent coronary angiography. Glucose intolerance was assessed by serum fasting glucose and HbA 1c levels. We stratified patients according to tertiles of SSII (≤21.5, 21.5-30.6, and ≥30.6). These score ranges were defined as SSII low, SSII mid, and SSII high, respectively. The average age of the patients was 57.1 ± 10.9 years; 189 (52.1%) patients were males. The average fasting glucose was 114 ± 52 mg/dL, HbA 1c was 5.8% ± 0.9%, and SSII was 18.9 ± 10.3. A stronger correlation was found between HbA 1c and SSII than fasting glucose and SSII (r1 = 0.901, P < .001, r2 = 0.378, P < .001, respectively), and HbA 1c level and hypertension were independent risk factors for SSII high (odds ratio [OR]: 2.2 (95% CI: 0.5-9.0, P < .001; OR: 1.1 (1.0-1.3), P = .007, respectively). In conclusion, in nondiabetic patients with NSTEMI, HbA 1c levels correlated with CAD severity as measured by the SSII.

Published
2022
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43. Slug and Vimentin downregulation at the metastatic site is associated with Skip-N2 metastasis of lung adenocarcinoma.

Author

Saygideger Y, Avci A, Bagir E, Saygıdeğer Demir B, Sezan A, Ekici M, Baydar O, and Erkin ÖC

Abstract

Objective: Lung cancer displays heterogeneity both in the tumor itself and in its metastatic regions. One interesting behavior of the tumor is known as Skip N2 metastasis, which N2 lymph nodes contain tumor cells while N1 are clean. In this study, mRNA levels of epithelial mesenchymal transition (EMT) related genes in skip N2 and normal N2 involvements of non-small cell lung cancer tissues were investigated to evaluate the possible molecular background that may contribute to the pathogenesis of Skip N2 metastasis., Materials and Methods: Eighty-three surgically resected and paraffin embedded lymph node samples of lung cancer patients were analyzed in this study, which 40 of them were Skip N2. N2 tissues were sampled from 50% tumor containing areas and total RNA was extracted. mRNA levels for 18S, E-cadherin, Vimentin, ZEB1 and SLUG were analyzed via qPCR and E-cadherin and vimentin protein levels via immunohistochemistry (IHC). Bioinformatic analysis were adopted using online datasets to evaluate significantly co-expressed genes with SLUG in lung cancer tissue samples., Results: Skip-N2 patients who had adenocarcinoma subtype had better survival rates. Comparative analysis of PCR results indicated that Skip N2 tumor tissues had increased E-Cadherin/Vimentin ratio and ZEB1 mRNA expression, and significantly decreased levels of SLUG. E-cadherin IHC staining were higher in Skip N2 and Vimentin were in Non-Skip N2. TP63 had a strong correlation with SLUG expression in the bioinformatics analyses., Conclusion: The results indicate that, at molecular level, Skip N2 pathogenesis has different molecular background and regulation of SLUG expression may orchestrate the process., (© 2022. The Author(s).)

Published
2022
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44. The Triglyceride-Glucose Index, a Predictor of Insulin Resistance, Is Associated With Subclinical Atherosclerosis.

Author

Baydar O, Kilic A, Okcuoglu J, Apaydin Z, and Can MM

Subjects
Adult, Aged, Asymptomatic Diseases, Atherosclerosis diagnosis, Atherosclerosis physiopathology, Biomarkers blood, Cross-Sectional Studies, Female, Humans, Male, Middle Aged, Pulse Wave Analysis, Retrospective Studies, Risk Assessment, Risk Factors, Turkey, Vascular Stiffness, Atherosclerosis blood, Blood Glucose metabolism, Insulin Resistance, Triglycerides blood
Abstract

Insulin resistance is one of the most important risk factors that accelerate atherosclerosis. The goal of this study is to investigate the relationship between the triglyceride glucose (TyG) index and functional vessel disease measured using pulse wave velocity (PWV), in a nondiabetic asymptomatic Turkish population. Nondiabetic, healthy patients (n = 1095) with no previous history of coronary heart disease were enrolled. Functional vessel disease was detected by measuring PWV. The TyG index was calculated using the following equation: log [fasting triglycerides (mg/dL) × fasting glucose (mg/dL)/2]. The study population was divided into 2 groups based on their TyG index. The high TyG index group had higher PWV, corrected PWV, left ventricular mass index, body mass index, rates of hypertension, and was predominately male. Age, gender, blood urea nitrogen level, and TyG index were detected as independent risk factors of PWV in linear regression analysis. Triglyceride glucose index and age were also independent risk factors of the corrected PWV in logistic regression analysis. These findings show a relationship between TyG index and subclinical vessel disease, even in patients without a history of atherosclerotic cardiovascular disease or diabetes.

Published
2021
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45. Role of dyslipidemia in early vascular aging syndrome

Author

Kılıç A, Baydar O, Elçik D, Apaydın Z, and Can MM

Subjects
Adult, Aged, Blood Flow Velocity physiology, Blood Pressure, Dyslipidemias epidemiology, Humans, Male, Middle Aged, Pulse Wave Analysis, Risk Factors, Aging, Dyslipidemias complications, Lipids blood, Vascular Stiffness
Abstract

Background/aim: Arterial stiffness, known as a predictor of early vascular aging, was defined as the main determinant of cardiovascular mortality and morbidity. However, the relationship between lipid profile and increased arterial stiffness is not clear. The aim of this study is to investigate the relationship between lipid profiles and increased arterial stiffness in patients with early vascular aging syndrome., Materials and Methods: A total of 1582 participants —504 (31.8%) of were male and the mean age was 52.8 ±14.2 years— were included in the study . Patients who applied to the hospital for various reasons and who had undergone 24-h blood pressure Holter monitoring were included in this study. Patients were divided into four groups according to pulse wave velocity (PWV) quartiles (Q1 (<6.3), Q2 (6.3–7.4), Q3 (7.5–8.8), Q4 (>8.8))., Results: We found that in the highest PWV group, patients had higher systolic blood pressure (SBP), diastolic blood pressure (DBP), glucose, blood urea nitrogen (BUN), creatinine, urinary albumin excretion (UAE), uric acid(UA), total cholesterol (TC), low-density lipoprotein ( LDL-C), triglycerid (TG), and non- high-density lipoprotein (HDL-C ) levels. Additionally, diabetes mellitus (dm), age, non-HDL-C, and TG/ HDL-C levels were detected as independent risk factors of increased PWV in ordinal logistic regression analysis., Conclusion: Our study demonstrates that lipid parameters are strongly correlated with increased PWVvalue and early vascular aging. In daily clinical practice, TG\HDL-C ratio, known as atherogenic index, might be used routinely for predicted of early vascular aging and subclinical atherosclerosis., Competing Interests: None declared., (This work is licensed under a Creative Commons Attribution 4.0 International License.)

Published
2021
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46. COVID-19 patients' sera induce epithelial mesenchymal transition in cancer cells.

Author

Saygideger Y, Sezan A, Candevir A, Saygıdeğer Demir B, Güzel E, Baydar O, Derinoz E, Komur S, Kuscu F, Ozyılmaz E, Kuleci S, Hanta I, Akkız H, and Tasova Y

Subjects
Adult, Aged, COVID-19 complications, Cell Line, Tumor, Cell Movement, Cell Proliferation, Cytotoxicity, Immunologic, Female, Humans, Lung Neoplasms secondary, Lung Neoplasms virology, Male, Middle Aged, Neoplasms immunology, COVID-19 immunology, Epithelial-Mesenchymal Transition physiology, Immune Sera adverse effects, Immune Sera toxicity, Neoplasms pathology
Abstract

Covid-19 Pneumonia of SARS-CoV-2 pandemic infection, persists to have high disease burden especially in cancer patients. Increased inflammation and thromboembolic processes are blamed to influence cancer patients more than the others but due to lack of knowledge regarding the pathophysiology of the both the virus itself and the response of the host, more basic and translational disease modeling research is needed to understand Cancer-Covid-19 interaction. In this study, serum samples from the patients, who were hospitalized due to Covid-19 pneumonia, applied to different cancer cells and cytotoxicity, motility, proliferation and gene expression analysis were performed. Serum samples derived from healthy volunteers and the fetal bovine serum that is used regularly in cell culture experiments used as controls. Hospitalized Covid-19 patients who had also cancer, were retrospectively screened, and their clinical course were recorded. Overall 12 Patient (PS) and 4 healthy serums (CS) were included in the experiments. PS applied cells showed increased motility in A549 cells as well as lost cell to cell connection in MCF7 and HCT116 cells, and induced expression of VIM, ZEB1 and SNAIL2 mRNA levels. Eight cancer diagnosed patients who were hospitalized due to Covid-19 between April and September 2020 were also reviewed retrospectively, which 5 of them were dead during SARS-CoV-2 infection. Thorax CT images of the 2 patients showed increased metastatic nodules in the lungs as of January 2021. The results of the study indicate that metastasis may be one of the prolonged consequences of COVID-19 pandemic in cancer sufferers., (Copyright © 2021 The Author(s). Published by Elsevier Ltd.. All rights reserved.)

Published
2021
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47. Predictive value of plasma copeptin level for diagnosis and mortality of pulmonary embolism.

Author

Ozmen C, Deveci OS, Karaaslan MB, Baydar O, Akray A, Deniz A, Cagliyan CE, Hanta I, and Usal A

Subjects
Acute Disease, Biomarkers, Humans, Plasma, Predictive Value of Tests, Prognosis, Glycopeptides, Pulmonary Embolism diagnosis
Abstract

Objective: Early diagnosis and risk stratification may provide a better prognosis in pulmonary embolism (PE). Copeptin has emerged as a valuable predictive biomarker in various cardiovascular diseases. The aim of this study was to determine the levels of copeptin in patients with acute PE and to evaluate its relationship with disease severity and PE-related death., Methods: Fifty-four patients and 60 healthy individuals were included in this study. Copeptin concentrations and right ventricular dysfunction were analyzed. The correlation between copeptin levels and hemodynamic and echocardiographic parameters was examined. After these first measurements, patients were evaluated with PE-related mortality at the one-year follow-up., Results: The copeptin levels were higher in PE patients than in the control group (8.3 ng/mL vs 3.8 ng/mL, p<0.001). Copeptin levels were found to be significantly higher in patients with PE-related death and right ventricular dysfunction (10.2 vs 7.5 ng/ml, p=0.001; 10.5 vs 7.5 ng/ml, p=0.002, respectively). When the cut-off value of copeptin was ≥5.85, its sensitivity and specificity for predicting PE were 71.9% and 85.0%, respectively (AUC=0.762, 95% CI=0.635-0.889, p<0.001)., Conclusions: The copeptin measurement had moderate sensitivity and specificity in predicting the diagnosis of PE, and the copeptin level was significantly higher in patients with PE-related death at the one-year follow-up. Copeptin may be a useful new biomarker in predicting diagnosis, risk stratification, and prognosis of PE.

Published
2020
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48. Understanding Vascular Age: Are Clinical scoring systems useful for Early Vascular Aging Syndrome Prediction ?

Author

Kilic A, Baydar O, Elcioglu BC, Camkiran V, Apaydin Z, Can MM, and Elcik D

Subjects
Adult, Age Factors, Aged, Blood Pressure Monitoring, Ambulatory, Cross-Sectional Studies, Female, Humans, Male, Middle Aged, Predictive Value of Tests, Prognosis, Pulse Wave Analysis, Retrospective Studies, Risk Assessment, Risk Factors, Sex Factors, Syndrome, Vascular Diseases physiopathology, Vascular Diseases therapy, Aging, Decision Support Techniques, Vascular Diseases diagnosis, Vascular Stiffness
Abstract

Introduction: Early vascular aging syndrome (EVAS) is defined as increased arterial stiffness compared to age and sex matched patients, EVAS is measured by pulse wave velocity (PWV)., Aim: In our study we aim to identify in patients with high risk of EVAS using the CHADS2, CHA2DS2-VASc, and CHA2DS2-VASc-HS scores., Methods: The CHADS2, CHA2DS2-VASc-HS and CHADS2VASC scoring systems are advised to determine management strategies in patients with nonvalvular atrial fibrillation. As they contain similar risk factors for the development or presence of EVAS, we believed that this risk scoring system could also be used to predict EVAS. This study was designed as a retrospective observational study. 2108 consecutive patients who had undergone 24-h blood pressure monitoring and measured PWV levels were included in the study. The patients were divided into the two groups according to corrected Pwv values., Results: CHADS2, CHA2DS2-VASc, and CHA2DS2-VASc-HS scores were positively correlated with PWV values (r =0.251, p < 0.001; r = 0.457, p < 0.001; and r = 0.385, p < 0.001, respectively). CHA2DS2-VASc-HS score was statistically better than CHA2DS2, CHA2DS2-VASc score to predict early vascular aging syndrome (p < 0.001). For the prediction of EVAS, the cut-off value of CHA2DS2-VASc-HS score was ≥ 1.5 with a sensitivity of 49% and a specificity of 50 % (AUC 0.605; 95% [CI] 0.58-0.63) in the ROC curve analyses., Conclusions: The CHA2DS2-VASc-HS scoring system might be used in daily clinical practice to calculate the total risk assessment of EVAS. This score is relatively simple to use and time-saving technique.

Published
2020
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49. Impact of right ventricular stroke work index on predicting hospital readmission and functional status of patients with advanced heart failure.

Author

Ozenc E, Yildiz O, Baydar O, Yazicioglu N, and Koc NA

Subjects
Functional Status, Humans, Patient Readmission, Stroke Volume, Heart Failure therapy, Stroke
Abstract

Introduction and Aims: The prognosis of chronic heart failure with reduced ejection fraction (HFrEF) has been studied extensively, but factors predicting cardiac decompensation are poorly defined. Right ventricular stroke work index (RVSWI), an invasive measure of right ventricular (RV) systolic function, is a well-known prognostic marker of RV failure after left ventricular assist device insertion and after lung transplantation. Thus, the aim of this study was to assess whether there is a relationship between RVSWI, HFrEF hospital readmission due to cardiac decompensation, and prognosis., Methods: We prospectively enrolled 132 consecutive patients with HFrEF. Right heart catheterization was performed and RVSWI values were calculated in all patients. The relationship between RVSWI values and readmission and prognosis was analyzed., Results: During a median follow-up of 20±7 months, 33 patients were readmitted due to cardiac decompensation in the survivor group, and 18 patients died due to cardiac causes. There was no difference between patients who died and survived in terms of RVSWI values. Among patients with decompensation, mean RVSWI was significantly lower than in patients with stable HFrEF (6.0±2.2 g/m 2 /beat vs. 8.8±3.5 g/m 2 /beat, p<0.001). On correlation analysis, RVSWI was negatively correlated with NYHA functional class. RVSWI was also identified as an independent risk factor for cardiac decompensation in Cox regression survival analysis., Conclusions: We showed that RVSWI predicts cardiac decompensation and correlates with functional class in advanced stage HFrEF. Our data suggest the value of combining information on right heart hemodynamics with assessment of RV function when defining the risk of patients with advanced HFrEF., (Copyright © 2020. Publicado por Elsevier España, S.L.U.)

Published
2020
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50. Acute hyperglycemia and contrast-induced nephropathy in patients with non-ST elevation myocardial infarction.

Author

Baydar O and Kilic A

Abstract

Acute hyperglycemia and contrast-induced nephropathy (CIN) are frequently observed in non-ST elevation myocardial infarction (NSTEMI) patients undergoing percutaneous coronary intervention (PCI), and both are associated with an increased mortality rate. We investigated the possible association between acute hyperglycemia and CIN in patients with NSTEMI undergoing PCI., Materials and Methods: We retrospectively enrolled 281(149, 53% men) NSTEMI patients undergoing PCI. For each patient, plasma glucose levels were secreened at hospital admission. Acute hyperglycemia was defined as glucose levels > 198 mg/dl. CIN was defined as an increase in serum creatinine 25% or 0.5 mg/dl from baseline in the first 48-72 hours., Results: Overall, 44 (15.7%) patients had acute hyperglycemia. Patients with acute hyperglycemia had higher incidence of CIN than those without acute hyperglycemia (29.5 vs 5.1%, P  < 0.001). Also, in-hospital mortality, length of hospital stay, major bleeding, requirement of mechanical ventilation and dialysis were observed significantly higher in patients with hyperglycemia. Patients were then reallocated to two groups according to the presence or absence of CIN. Overall, 25 cases (8.9%) of CIN were diagnosed. Diabetes mellitus, weight, age, glucose level and estimated glomerular filtration rate (eGFR) were detected as independent risk factors of CIN. Additionally, admission glucose levels were significantly correlated with creatinine levels after PCI, eGFR and contrast volume/eGFR ratio., Conclusion: In NSTEMI patients undergoing primary PCI, acute hyperglycemia may be associated with an increased risk for CIN and in-hospital mortality and morbidity., (Copyright © 2019 Wolters Kluwer Health, Inc. All rights reserved.)

Published
2020
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