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101. Standardized Definitions for Bioprosthetic Valve Dysfunction Following Aortic or Mitral Valve Replacement: JACC State-of-the-Art Review

Author

Pibarot, Philippe, Herrmann, Howard C., Wu, Changfu, Hahn, Rebecca T., Otto, Catherine M., Abbas, Amr E., Chambers, John, Dweck, Marc R., Leipsic, Jonathon A., Simonato, Matheus, Rogers, Toby, Sathananthan, Janarthanan, Guerrero, Mayra, Ternacle, Julien, Wijeysundera, Harindra C., Sondergaard, Lars, Barbanti, Marco, Salaun, Erwan, Généreux, Philippe, Kaneko, Tsuyoshi, Landes, Uri, Wood, David A., Deeb, G. Michael, Sellers, Stephanie L., Lewis, John, Madhavan, Mahesh, Gillam, Linda, Reardon, Michael, Bleiziffer, Sabine, O’Gara, Patrick T., Rodés-Cabau, Josep, Grayburn, Paul A., Lancellotti, Patrizio, Thourani, Vinod H., Bax, Jeroen J., Mack, Michael J., and Leon, Martin B.

Published
2022
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102. Bioprosthetic Aortic Valve Hemodynamics: Definitions, Outcomes, and Evidence Gaps: JACC State-of-the-Art Review

Author

Herrmann, Howard C., Pibarot, Philippe, Wu, Changfu, Hahn, Rebecca T., Tang, Gilbert H.L., Abbas, Amr E., Playford, David, Ruel, Marc, Jilaihawi, Hasan, Sathananthan, Janarthanan, Wood, David A., De Paulis, Ruggero, Bax, Jeroen J., Rodes-Cabau, Josep, Cameron, Duke E., Chen, Tiffany, Del Nido, Pedro J., Dweck, Marc R., Kaneko, Tsuyoshi, Latib, Azeem, Moat, Neil, Modine, Thomas, Popma, Jeffrey J., Raben, Jamie, Smith, Robert L., Tchetche, Didier, Thomas, Martyn R., Vincent, Flavien, Yoganathan, Ajit, Zuckerman, Bram, Mack, Michael J., and Leon, Martin B.

Published
2022
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103. Sex-Related Differences in Medically Treated Moderate Aortic Stenosis

Author

Stassen, Jan, Pio, Stephan M., Ewe, See Hooi, Amanullah, Mohammed R., Hirasawa, Kensuke, Butcher, Steele C., Singh, Gurpreet K., Sin, Kenny Y.K., Ding, Zee P., Chew, Nicholas W.S., Sia, Ching-Hui, Kong, William K.F., Poh, Kian Keong, Cohen, David J., Généreux, Philippe, Leon, Martin B., Marsan, Nina Ajmone, Delgado, Victoria, and Bax, Jeroen J.

Published
2022
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104. Coronary volume to left ventricular mass ratio in patients with diabetes mellitus

Author

Kuneman, Jurrien H., El Mahdiui, Mohammed, van Rosendael, Alexander R., van den Hoogen, Inge J., Patel, Manesh R., Nørgaard, Bjarne Linde, Fairbairn, Timothy A., Nieman, Koen, Akasaka, Takashi, Berman, Daniel S., Hurwitz Koweek, Lynne M., Pontone, Gianluca, Kawasaki, Tomohiro, Rønnow Sand, Niels Peter, Jensen, Jesper M., Amano, Tetsuya, Poon, Michael, Øvrehus, Kristian A., Sonck, Jeroen, Rabbat, Mark G., De Bruyne, Bernard, Rogers, Campbell, Matsuo, Hitoshi, Bax, Jeroen J., Leipsic, Jonathon A., and Knuuti, Juhani

Published
2022
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106. Relationship Between Coronary Artery Calcium and Atherosclerosis Progression Among Patients With Suspected Coronary Artery Disease

Author

Hollenberg, Emma J., Lin, Fay, Blaha, Michael J., Budoff, Matthew J., van den Hoogen, Inge J., Gianni, Umberto, Lu, Yao, Bax, A. Maxim, van Rosendael, Alexander R., Tantawy, Sara W., Andreini, Daniele, Cademartiri, Filippo, Chinnaiyan, Kavitha, Choi, Jung Hyun, Conte, Edoardo, de Araújo Gonçalves, Pedro, Hadamitzky, Martin, Maffei, Erica, Pontone, Gianluca, Shin, Sanghoon, Kim, Yong-Jin, Lee, Byoung Kwon, Chun, Eun Ju, Sung, Ji Min, Gimelli, Alessia, Lee, Sang-Eun, Bax, Jeroen J., Berman, Daniel S., Sellers, Stephanie L., Leipsic, Jonathon A., Blankstein, Ron, Narula, Jagat, Chang, Hyuk-Jae, and Shaw, Leslee J.

Published
2022
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109. Subclinical leaflet thrombosis after transcatheter aortic valve implantation: no association with left ventricular reverse remodeling at 1-year follow-up

Author

Kuneman, Jurrien H., Singh, Gurpreet K., Hansson, Nicolaj C., Fusini, Laura, Poulsen, Steen H., Fortuni, Federico, Vollema, E. Mara, Pedersen, Anders L. D., Annoni, Andrea D., Nørgaard, Bjarne L., Pontone, Gianluca, Ajmone Marsan, Nina, Delgado, Victoria, Bax, Jeroen J., and Knuuti, Juhani

Published
2022
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112. Computed Tomography Aortic Valve Calcium Scoring in Patients With Bicuspid Aortic Valve Stenosis

Author

Shen, Mylène, Oh, Jin Kyung, Guzzetti, Ezequiel, Singh, Gurpreet K., Pawade, Tania, Tastet, Lionel, Clavel, Marie-Annick, Delgado, Victoria, Bax, Jeroen J., Dweck, Marc R., Abbas, Amr E., Mando, Ramy, Falconi, Mariano Luis, Perez de Arenaza, Diego, Poh, Kian Keong, Kong, William, Tay, Edgar, Pressman, Gregg, Brito, Daniel, Song, Jae Kwan, and Pibarot, Philippe

Published
2022
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114. Evolution and Prognostic Impact of Left Ventricular Myocardial Work Indices After Transcatheter Aortic Valve Replacement in Patients With Severe Aortic Stenosis.

Author

Wu, Hoi W., Fortuni, Federico, Muzafarova, Tamilla, Sarrazyn, Camille, Lopez Santi, Pilar, Chua, Aileen P. A., Butcher, Steele C., van der Kley, Frank, de Weger, Arend, Jukema, J. Wouter, Bax, Jeroen J., and Ajmone Marsan, Nina

Subjects
MYOCARDIUM physiology, LEFT heart ventricle, RESEARCH funding, VENTRICULAR ejection fraction, SEVERITY of illness index, HEART physiology, DESCRIPTIVE statistics, CAUSES of death, HEART valve prosthesis implantation, AORTIC stenosis, BIOMARKERS, GLOBAL longitudinal strain, PATIENT aftercare
Abstract

Purpose: Left ventricular myocardial work (LVMW) has been shown to better characterize LV function in patients with severe aortic stenosis by correcting LV afterload. The aim of this study was to evaluate the evolution in LVMW indices after transcatheter aortic valve replacement (TAVR) and their prognostic value. Methods: The following LVMW indices were calculated before and immediately after TAVR in 255 patients (median age 82 years, 51% male): global work index (GWI), global constructive work (GCW), global wasted work (GWW) and global work efficiency (GWE). The study endpoint was all‐cause mortality. Results: After TAVR, LV ejection fraction and LV global longitudinal strain (GLS) did not change significantly (from 56% to 55%, p = 0.470 and from 13.6% to 13.2%, p = 0.068). Concerning LVMW indices, while LV GWW remained unchanged after TAVR (from 247 to 258 mmHg%, p = 0.080), LV GWI, LV GCW, and LV GWE significantly decreased (from 1882 to 1291 mmHg%, p < 0.001, from 2248 to 1671 mmHg%, p < 0.001, and from 89% to 85%, p < 0.001, respectively). During a median follow‐up of 59 [40–72] months, 129 patients died. After correcting for potential confounders (sex, diabetes, renal function, atrial fibrillation, Charlson comorbidity index, and pacemaker implantation post‐TAVR), post‐TAVR LV GLS, GWI, and GCW remained independently associated with all‐cause mortality. However, post‐TAVR LV GWI demonstrated the highest increase in model predictivity. Conclusion: In patients undergoing TAVR, LVMW parameters significantly change after intervention. LV GWI after TAVR showed the strongest association with all‐cause mortality among both conventional and advanced parameters of LV systolic function both pre‐ and post‐TAVR and might enable better risk stratification of these patients after intervention. [ABSTRACT FROM AUTHOR]

Published
2024
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115. Pericoronary adipose tissue for predicting long-term outcomes.

Author

Rosendael, Sophie E van, Kamperidis, Vasileios, Maaniitty, Teemu, Graaf, Michiel A de, Saraste, Antti, McKay-Goodall, George E, Jukema, J Wouter, Knuuti, Juhani, and Bax, Jeroen J

Subjects
RISK assessment, PREDICTIVE tests, BLOOD vessels, COMPUTED tomography, MAJOR adverse cardiovascular events, DESCRIPTIVE statistics, CORONARY artery disease, EPICARDIAL adipose tissue, CORONARY angiography, COMPARATIVE studies, CONFIDENCE intervals, PROPORTIONAL hazards models, DISEASE risk factors, SYMPTOMS
Abstract

Aims Pericoronary adipose tissue (PCAT) attenuation obtained by coronary computed tomography angiography (CCTA) has been associated with coronary inflammation and outcomes. Whether PCAT attenuation is predictive of major adverse cardiac events (MACE) during long-term follow-up is unknown. Methods and results Symptomatic patients with coronary artery disease (CAD) who underwent CCTA were included, and clinical outcomes were evaluated. PCAT was measured at all lesions for all three major coronary arteries using semi-automated software. A comparison between patients with and without MACE was made on both a per-lesion and a per-patient level. The predictive value of PCAT attenuation for MACE was assessed in Cox regression models. In 483 patients (63.3 ± 8.5 years, 54.9% men), 1561 lesions were analysed over a median follow-up duration of 9.5 years. The mean PCAT attenuation was not significantly different between patients with and without MACE. At a per-patient level, the adjusted hazard ratio (HR) and 95% confidence interval (CI) for MACE were 0.970 (95% CI: 0.933–1.008, P = 0.121) when the average of all lesions per patient was analysed, 0.992 (95% CI: 0.961–1.024, P = 0.622) when only the most obstructive lesion was evaluated, and 0.981 (95% CI: 0.946–1.016, P = 0.285) when only the lesion with the highest PCAT attenuation per individual was evaluated. Adjusted HRs for vessel-specific PCAT attenuation in the right coronary artery, left anterior descending artery, and left circumflex artery were 0.957 (95% CI: 0.830–1.104, P = 0.548), 0.989 (95% CI: 0.954–1.025, P = 0.550), and 0.739 (95% CI: 0.293–1.865, P = 0.522), respectively, in predicting long-term MACE. Conclusion In patients referred to CCTA for clinically suspected CAD, PCAT attenuation did not predict MACE during long-term follow-up. [ABSTRACT FROM AUTHOR]

Published
2024
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116. In vivo fluid dynamics of the Ventura interatrial shunt device in patients with heart failure.

Author

Pfeiffer, Michael, Boehmer, John, Gorcsan, John, Eguchi, Shunsuke, Orihara, Yoshiyuki, Perl, Michal Laufer, Eigler, Neal, Abraham, William T., Villota, Julio Nuñez, Lee, Elizabeth, Bayés‐Genís, Antoni, Moravsky, Gil, Kar, Saibal, Zile, Michael R., Holcomb, Richard, Anker, Stefan D., Stone, Gregg W., Rodés‐Cabau, Josep, Lindenfeld, JoAnn, and Bax, Jeroen J.

Subjects
COMPUTATIONAL fluid dynamics, FLUID dynamics, PROPERTIES of fluids, DISCHARGE coefficient, HEART failure patients, TRANSESOPHAGEAL echocardiography
Abstract

Aims: Interatrial shunts are under evaluation as a treatment for heart failure (HF); however, their in vivo flow performance has not been quantitatively studied. We aimed to investigate the fluid dynamics properties of the 0.51 cm orifice diameter Ventura shunt and assess its lumen integrity with serial transesophageal echocardiography (TEE). Methods and results: Computational fluid dynamics (CFD) and bench flow tests were used to establish the flow‐pressure relationship of the shunt. Open‐label patients from the RELIEVE‐HF trial underwent TEE at shunt implant and at 6 and 12 month follow‐up. Shunt effective diameter (Deff) was derived from the vena contracta, and flow was determined by the continuity equation. CFD and bench studies independently validated that the shunt's discharge coefficient was 0.88 to 0.89. The device was successfully implanted in all 97 enrolled patients; mean age was 70 ± 11 years, 97% were NYHA class III, and 51% had LVEF ≤40%. Patency was confirmed in all instances, except for one stenotic shunt at 6 months. Deff remained unchanged from baseline at 12 months (0.47 ± 0.01 cm, P = 0.376), as did the trans‐shunt mean pressure gradient (5.1 ± 3.9 mmHg, P = 0.316) and flow (1137 ± 463 mL/min, P = 0.384). TEE measured flow versus pressure closely correlated (R2 ≥ 0.98) with a fluid dynamics model. At 12 months, the pulmonary/systemic flow Qp/Qs ratio was 1.22 ± 0.12. Conclusions: When implanted in patients with advanced HF, this small interatrial shunt demonstrated predictable and durable patency and performance. [ABSTRACT FROM AUTHOR]

Published
2024
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117. Cardiac amyloidosis is not a single disease: a multiparametric comparison between the light chain and transthyretin forms.

Author

Neculae, Gabriela, Adam, Robert, Jercan, Andreea, Bădeliță, Sorina, Tjahjadi, Catherina, Draghici, Mirela, Stan, Claudiu, Bax, Jeroen J., Popescu, Bogdan A., Marsan, Nina Ajmone, Coriu, Daniel, and Jurcuț, Ruxandra

Subjects
GLOBAL longitudinal strain, PERICARDIAL effusion, CARDIAC amyloidosis, VENTRICULAR ejection fraction, DIFFERENTIAL diagnosis, AMYLOID
Abstract

Aims: Systemic amyloidosis represents a heterogeneous group of diseases resulting from amyloid fibre deposition. The purpose of this study is to establish a differential diagnosis algorithm targeted towards the two most frequent subtypes of CA. Methods and results: We prospectively included all consecutive patients with ATTR and AL evaluated between 2018 and 2022 in two centres in a score derivation cohort and a different validation sample. All patients had a complete clinical, biomarker, electrocardiographic, and imaging evaluation. Confirmation of the final diagnosis with amyloid typing was performed according to the current international recommendations. The study population included 81 patients divided into two groups: ATTR (group 1, n = 32: 28 variant and 4 wild type) and AL (group 2, n = 49). ATTR patients were younger (50.7 ± 13.9 vs. 60.2 ± 7.3 years, P = 0.0001), and significantly different in terms of NT‐proBNP [ATTR: 1472.5 ng/L (97–4218.5) vs. AL 8024 ng/L (3058–14 069) P = 0.001], hs‐cTn I [ATTR: 10 ng/L (4–20) vs. AL 78 ng/L (32–240), P = 0.0002], GFR [ATTR 95.4 mL/min (73.8–105.3) vs. AL: 68.4 mL/min (47.8–87.4) P = 0.003]. At similar left ventricular (LV) wall thickness and ejection fraction, the ATTR group had less frequently pericardial effusion (ATTR: 15% vs. AL: 33% P = 0.0027), better LV global longitudinal strain (ATTR: −13.1% ± 3.5 vs. AL: −9.1% ± 4.3 P = 0.04), RV strain (ATTR: −21.9% ± 6.2 vs. AL: −16.8% ± 6 P = 0.03) and better reservoir function of the LA strain (ATTR: 22% ± 12 vs. AL: 13.6% ± 7.8 P = 0.02). Cut‐off points were calculated based on the Youden method. We attributed to 2 points for parameters having an AUC > 0.75 (NT‐proBNP AUC 0.799; hs‐cTnI AUC 0.87) and 1 point for GFR (AUC 0.749) and TTE parameters (GLS AUC 0.666; RV FWS AUC 0.649, LASr AUC 0.643). A score of equal or more than 4 points has been able to differentiate between AL and ATTR (sensitivity 80%, specificity 62%, AUC = 0.798). The differential diagnosis score system was applied to the validation cohort of 52 CA patients showing a sensitivity of 81% with specificity of 77%. Conclusions: CA is a complex entity and requires extensive testing for a positive diagnosis. This study highlights a series of non‐invasive checkpoints, which can be useful in guiding the decision‐making process towards a more accurate and rapid differential diagnosis. [ABSTRACT FROM AUTHOR]

Published
2024
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118. Structural and functional abnormalities of left-sided cardiac chambers in Barlow's disease without significant mitral regurgitation.

Author

Meucci, Maria Chiara, Mantegazza, Valentina, Wu, Hoi W, Wijngaarden, Aniek L van, Garlaschè, Anna, Tamborini, Gloria, Pepi, Mauro, Bax, Jeroen J, and Marsan, Nina Ajmone

Subjects
LEFT heart ventricle, RISK assessment, LEFT heart atrium, VENTRICULAR remodeling, MITRAL valve prolapse, RETROSPECTIVE studies, TERTIARY care, DESCRIPTIVE statistics, SEVERITY of illness index, MITRAL valve insufficiency, DISEASE progression, ECHOCARDIOGRAPHY, REGRESSION analysis, PROPORTIONAL hazards models, DISEASE complications
Abstract

Aims This study aims to explore the presence of left ventricular (LV) and left atrial (LA) morphological and functional abnormalities in patients with Barlow's disease (BD) without significant mitral regurgitation (MR) and to investigate whether these abnormalities may predict MR progression. Methods and results Consecutive patients with BD were retrospectively identified from two tertiary centres; those with MR graded from trivial to mild-to-moderate were selected and matched with healthy controls in a 1:1 ratio. Conventional and speckle-tracking echocardiographic data were collected. The development of moderate-to-severe or greater MR was evaluated on follow-up echocardiograms. Patients with BD (n = 231) showed increased LV dimensions and indexed LV mass (LVMi) in comparison with controls (P < 0.001); LV remodelling worsened with higher MR severity and was accompanied by an increased prevalence of eccentric LV hypertrophy (eLVH). Moreover, BD patients had larger LA volumes and more impaired LA reservoir strain vs. controls (P < 0.001), while LV strain was similar between the two groups. Multivariable linear regression analyses in the overall population identified BD and MR grade as independent predictors of remodelling markers (LV dimensions, LVMi, and LA volume) and BD as independent correlate of LA strain. MR progression was observed in 51 BD subjects (out of 170 patients with available follow-up). On Cox regression analysis, age, eLVH, mild-to-moderate MR, and mitral annular disjunction (MAD) emerged as independent predictors of MR progression. Conclusion BD patients without significant MR show early LV and LA remodelling, together with reduced LA strain. MR progression was associated with eccentric LV remodelling, MAD, and MR severity. [ABSTRACT FROM AUTHOR]

Published
2024
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122. Trans-lesional fractional flow reserve gradient as derived from coronary CT improves patient management: ADVANCE registry

Author

Takagi, Hidenobu, Leipsic, Jonathon A., McNamara, Noah, Martin, Isabella, Fairbairn, Timothy A., Akasaka, Takashi, Nørgaard, Bjarne L., Berman, Daniel S., Chinnaiyan, Kavitha, Hurwitz-Koweek, Lynne M., Pontone, Gianluca, Kawasaki, Tomohiro, Rønnow Sand, Niels Peter, Jensen, Jesper M., Amano, Tetsuya, Poon, Michael, Øvrehus, Kristian A., Sonck, Jeroen, Rabbat, Mark G., Mullen, Sarah, De Bruyne, Bernard, Rogers, Campbell, Matsuo, Hitoshi, Bax, Jeroen J., Douglas, Pamela S., Patel, Manesh R., Nieman, Koen, and Ihdayhid, Abdul Rahman

Published
2022
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123. Influence of Obesity on Coronary Artery Disease and Clinical Outcomes in the ADVANCE Registry

Author

Lowenstern, Angela, Ng, Nicholas, Takagi, Hidenobu, Rymer, Jennifer A., Koweek, Lynne M., Douglas, Pamela S., Duran, Jessica M., Rabbat, Mark, Pontone, Gianluca, Fairbairn, Timothy, Chinnaiyan, Kavitha, Berman, Daniel S., De Bruyne, Bernard, Bax, Jeroen J., Akasaka, Takashi, Amano, Tetsuya, Nieman, Koen, Rogers, Campbell, Kitabata, Hironori, Sand, Niels P.R., Kawasaki, Tomohiro, Mullen, Sarah, Matsuo, Hitoshi, Norgaard, Bjarne L., Patel, Manesh R., Leipsic, Jonathan, and Daubert, Melissa A.

Published
2023
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124. Ethnic comparison in takotsubo syndrome: novel insights from the International Takotsubo Registry

Author

Imori, Yoichi, Kato, Ken, Cammann, Victoria L., Szawan, Konrad A., Wischnewsky, Manfred, Dreiding, Sara, Würdinger, Michael, Schönberger, Maximilian, Petkova, Vanya, Niederseer, David, Levinson, Rena A., Di Vece, Davide, Gili, Sebastiano, Seifert, Burkhardt, Wakita, Masaki, Suzuki, Noriko, Citro, Rodolfo, Bossone, Eduardo, Heiner, Susanne, Knorr, Maike, Jansen, Thomas, Münzel, Thomas, D’Ascenzo, Fabrizio, Franke, Jennifer, Sorici-Barb, Ioana, Katus, Hugo A., Sarcon, Annahita, Shinbane, Jerold, Napp, L. Christian, Bauersachs, Johann, Jaguszewski, Milosz, Shiomura, Reiko, Nakamura, Shunichi, Takano, Hitoshi, Noutsias, Michel, Burgdorf, Christof, Ishibashi, Iwao, Himi, Toshiharu, Koenig, Wolfgang, Schunkert, Heribert, Thiele, Holger, Kherad, Behrouz, Tschöpe, Carsten, Pieske, Burkert M., Rajan, Lawrence, Michels, Guido, Pfister, Roman, Mizuno, Shingo, Cuneo, Alessandro, Jacobshagen, Claudius, Hasenfuß, Gerd, Karakas, Mahir, Mochizuki, Hiroki, Pott, Alexander, Rottbauer, Wolfgang, Said, Samir M., Braun-Dullaeus, Ruediger C., Banning, Adrian, Isogai, Toshiaki, Kimura, Akihisa, Cuculi, Florim, Kobza, Richard, Fischer, Thomas A., Vasankari, Tuija, Airaksinen, K. E. Juhani, Tomita, Yasuhiro, Budnik, Monika, Opolski, Grzegorz, Dworakowski, Rafal, MacCarthy, Philip, Kaiser, Christoph, Osswald, Stefan, Galiuto, Leonarda, Crea, Filippo, Dichtl, Wolfgang, Murakami, Tsutomu, Ikari, Yuji, Empen, Klaus, Beug, Daniel, Felix, Stephan B., Delmas, Clément, Lairez, Olivier, Yamaguchi, Tetsuo, El-Battrawy, Ibrahim, Akin, Ibrahim, Borggrefe, Martin, Horowitz, John D., Kozel, Martin, Tousek, Petr, Widimský, Petr, Gilyarova, Ekaterina, Shilova, Alexandra, Gilyarov, Mikhail, Neuhaus, Michael, Meyer, Philippe, Arroja, Jose David, Chan, Christina, Bridgman, Paul, Galuszka, Jan, Poglajen, Gregor, Carrilho-Ferreira, Pedro, Pinto, Fausto J., Hauck, Christian, Maier, Lars S., Liu, Kan, Di Mario, Carlo, Paolini, Carla, Bilato, Claudio, Bianco, Matteo, Jörg, Lucas, Rickli, Hans, Winchester, David E., Ukena, Christian, Böhm, Michael, Bax, Jeroen J., Prasad, Abhiram, Rihal, Charanjit S., Saito, Shigeru, Kobayashi, Yoshio, Lüscher, Thomas F., Ruschitzka, Frank, Shimizu, Wataru, Ghadri, Jelena R., and Templin, Christian

Published
2022
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125. Natural History of Diabetic Coronary Atherosclerosis by Quantitative Measurement of Serial Coronary Computed Tomographic Angiography Results of the PARADIGM Study

Author

Kim, Ung, Leipsic, Jonathon A, Sellers, Stephanie L, Shao, Michael, Blanke, Philipp, Hadamitzky, Martin, Kim, Yong-Jin, Conte, Edoardo, Andreini, Daniele, Pontone, Gianluca, Budoff, Matthew J, Gottlieb, Ilan, Lee, Byoung Kwon, Chun, Eun Ju, Cademartiri, Filippo, Maffei, Erica, Marques, Hugo, Shin, Sanghoon, Choi, Jung Hyun, Virmani, Renu, Samady, Habib, Stone, Peter H, Berman, Daniel S, Narula, Jagat, Shaw, Leslee J, Bax, Jeroen J, Min, James K, and Chang, Hyuk-Jae

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Biomedical Imaging, Cardiovascular, Atherosclerosis, Prevention, Clinical Research, Heart Disease, Diabetes, Heart Disease - Coronary Heart Disease, Detection, screening and diagnosis, 4.2 Evaluation of markers and technologies, Aged, Computed Tomography Angiography, Coronary Angiography, Coronary Artery Disease, Diabetic Angiopathies, Female, Humans, Male, Middle Aged, Plaque, Atherosclerotic, Predictive Value of Tests, Prognosis, Registries, Retrospective Studies, Risk Assessment, Risk Factors, Sex Factors, Time Factors, computed tomography, coronary artery disease, diabetes mellitus, plaque, progression, Cardiorespiratory Medicine and Haematology, Cardiovascular System & Hematology, Cardiovascular medicine and haematology, Clinical sciences
Abstract

ObjectivesThis study aimed to determine the rate and extent of plaque progression (PP), changes in plaque features, and clinical predictors of PP in patients with diabetes mellitus (DM).BackgroundThe natural history of coronary PP in patients with DM is not well established.MethodsA total of 1,602 patients (age 61.3 ± 9.0 years; 60.3% men; median scan interval 3.8 years) who underwent serial coronary computed tomography angiography over a period of at least 24 months were enrolled and analyzed from the PARADIGM (Progression of Atherosclerotic Plaque Determined by Computed Tomographic Angiography Imaging) trial. Study endpoints were changes in plaque features in diabetics with PP and risk factors for PP by serial coronary computed tomography angiography between patients with and without DM. PP was defined if plaque volume at follow-up minus plaque volume at baseline was >0.ResultsDM was an independent risk factor for PP (84.6%; 276 of 326 patients with PP) in multivariate analysis (odds ratio [OR]: 1.526; 95% confidence interval [CI]: 1.100 to 2.118; p = 0.011). Independent risk factors for PP in patients with DM were male sex (OR: 1.485; 95% CI: 1.003 to 2.199; p = 0.048) and mean plaque burden at baseline ≥75% (OR: 3.121; 95% CI: 1.701 to 5.725; p ≤0.001). After propensity matching, percent changes in overall plaque volume (30.3 ± 36.9% in patients without DM and 36.0 ± 29.7% in those with DM; p = 0.032) and necrotic core volume (-7.0 ± 35.8% in patients without DM and 21.5 ± 90.5% in those with DM; p = 0.007) were significantly greater in those with DM. The frequency of spotty calcification, positive remodeling, and burden of low-attenuation plaque were significantly greater in patients with DM.ConclusionsPeople with DM experience greater PP, particularly significantly greater progression in adverse plaque, than those without DM. Male sex and mean plaque burden >75% at baseline were identified as independent risk factors for PP.

Published
2018

126. Effects of Statins on Coronary Atherosclerotic Plaques The PARADIGM Study

Author

Lee, Sang-Eun, Chang, Hyuk-Jae, Sung, Ji Min, Park, Hyung-Bok, Heo, Ran, Rizvi, Asim, Lin, Fay Y, Kumar, Amit, Hadamitzky, Martin, Kim, Yong Jin, Conte, Edoardo, Andreini, Daniele, Pontone, Gianluca, Budoff, Matthew J, Gottlieb, Ilan, Lee, Byoung Kwon, Chun, Eun Ju, Cademartiri, Filippo, Maffei, Erica, Marques, Hugo, Leipsic, Jonathon A, Shin, Sanghoon, Choi, Jung Hyun, Chinnaiyan, Kavitha, Raff, Gilbert, Virmani, Renu, Samady, Habib, Stone, Peter H, Berman, Daniel S, Narula, Jagat, Shaw, Leslee J, Bax, Jeroen J, and Min, James K

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Clinical Sciences, Heart Disease, Clinical Research, Atherosclerosis, Cardiovascular, Aging, Heart Disease - Coronary Heart Disease, 6.1 Pharmaceuticals, 2.1 Biological and endogenous factors, Aetiology, Evaluation of treatments and therapeutic interventions, 4.2 Evaluation of markers and technologies, Detection, screening and diagnosis, Aged, Brazil, Computed Tomography Angiography, Coronary Angiography, Coronary Artery Disease, Coronary Stenosis, Coronary Vessels, Disease Progression, Europe, Female, Humans, Hydroxymethylglutaryl-CoA Reductase Inhibitors, Male, Middle Aged, North America, Plaque, Atherosclerotic, Prospective Studies, Registries, Republic of Korea, Severity of Illness Index, Time Factors, Treatment Outcome, Vascular Calcification, coronary artery atherosclerosis, coronary artery disease, coronary computed tomography angiography, statins, Cardiorespiratory Medicine and Haematology, Cardiovascular System & Hematology, Cardiovascular medicine and haematology, Clinical sciences
Abstract

ObjectivesThis study sought to describe the impact of statins on individual coronary atherosclerotic plaques.BackgroundAlthough statins reduce the risk of major adverse cardiovascular events, their long-term effects on coronary atherosclerosis remain unclear.MethodsWe performed a prospective, multinational study consisting of a registry of consecutive patients without history of coronary artery disease who underwent serial coronary computed tomography angiography at an interscan interval of ≥2 years. Atherosclerotic plaques were quantitatively analyzed for percent diameter stenosis (%DS), percent atheroma volume (PAV), plaque composition, and presence of high-risk plaque (HRP), defined by the presence of ≥2 features of low-attenuation plaque, positive arterial remodeling, or spotty calcifications.ResultsAmong 1,255 patients (60 ± 9 years of age; 57% men), 1,079 coronary artery lesions were evaluated in statin-naive patients (n = 474), and 2,496 coronary artery lesions were evaluated in statin-taking patients (n = 781). Compared with lesions in statin-naive patients, those in statin-taking patients displayed a slower rate of overall PAV progression (1.76 ± 2.40% per year vs. 2.04 ± 2.37% per year, respectively; p = 0.002) but more rapid progression of calcified PAV (1.27 ± 1.54% per year vs. 0.98 ± 1.27% per year, respectively; p < 0.001). Progression of noncalcified PAV and annual incidence of new HRP features were lower in lesions in statin-taking patients (0.49 ± 2.39% per year vs. 1.06 ± 2.42% per year and 0.9% per year vs. 1.6% per year, respectively; all p < 0.001). The rates of progression to >50% DS were not different (1.0% vs. 1.4%, respectively; p > 0.05). Statins were associated with a 21% reduction in annualized total PAV progression above the median and 35% reduction in HRP development.ConclusionsStatins were associated with slower progression of overall coronary atherosclerosis volume, with increased plaque calcification and reduction of high-risk plaque features. Statins did not affect the progression of percentage of stenosis severity of coronary artery lesions but induced phenotypic plaque transformation. (Progression of AtheRosclerotic PlAque DetermIned by Computed TomoGraphic Angiography Imaging [PARADIGM]; NCT02803411).

Published
2018

127. Quantification of Coronary Atherosclerosis in the Assessment of Coronary Artery Disease

Author

Lee, Sang-Eun, Sung, Ji Min, Rizvi, Asim, Lin, Fay Y, Kumar, Amit, Hadamitzky, Martin, Kim, Yong-Jin, Conte, Edoardo, Andreini, Daniele, Pontone, Gianluca, Budoff, Matthew J, Gottlieb, Ilan, Lee, Byoung Kwon, Chun, Eun Ju, Cademartiri, Filippo, Maffei, Erica, Marques, Hugo, Leipsic, Jonathon A, Shin, Sanghoon, Choi, Jung Hyun, Chinnaiyan, Kavitha, Raff, Gilbert, Virmani, Renu, Samady, Habib, Stone, Peter H, Berman, Daniel S, Narula, Jagat, Shaw, Leslee J, Bax, Jeroen J, Min, James K, and Chang, Hyuk-Jae

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Clinical Research, Heart Disease - Coronary Heart Disease, Atherosclerosis, Heart Disease, Biomedical Imaging, Cardiovascular, 4.2 Evaluation of markers and technologies, Detection, screening and diagnosis, Aged, Brazil, Computed Tomography Angiography, Coronary Angiography, Coronary Artery Disease, Coronary Stenosis, Coronary Vessels, Disease Progression, Europe, Female, Humans, Male, Middle Aged, Multidetector Computed Tomography, Myocardial Infarction, Myocardial Revascularization, North America, Plaque, Atherosclerotic, Predictive Value of Tests, Prognosis, Prospective Studies, Registries, Republic of Korea, Risk Assessment, Risk Factors, Severity of Illness Index, angiography, atherosclerosis, coronary artery disease, myocardial infarction, risk factors, Clinical Sciences, Cardiovascular System & Hematology, Cardiovascular medicine and haematology, Clinical sciences
Abstract

BackgroundDiagnosis of coronary artery disease and management strategies have relied solely on the presence of diameter stenosis ≥50%. We assessed whether direct quantification of plaque burden (PB) and plaque characteristics assessed by coronary computed tomography angiography could provide additional value in terms of predicting rapid plaque progression.Methods and resultsFrom a 13-center, 7-country prospective observational registry, 1345 patients (60.4±9.4 years old; 57.1% male) who underwent repeated coronary computed tomography angiography >2 years apart were enrolled. For conventional angiographic analysis, the presence of stenosis ≥50%, number of vessel involved, segment involvement score, and the presence of high-risk plaque feature were determined. For quantitative analyses, PB and annual change in PB (△PB/y) in the entire coronary tree were assessed. Clinical outcomes (cardiac death, nonfatal myocardial infarction, and coronary revascularization) were recorded. Rapid progressors, defined as a patient with ≥median value of △PB/y (0.33%/y), were older, more frequently male, and had more clinical risk factors than nonrapid progressors (all P

Published
2018

128. Impact of Non-obstructive left main disease on the progression of coronary artery disease: A PARADIGM substudy.

Author

Weir-McCall, Jonathan R, Blanke, Philipp, Sellers, Stephanie L, Ahmadi, Amir A, Andreini, Daniele, Budoff, Matthew J, Cademartiri, Filippo, Chinnaiyan, Kavitha, Choi, Jung Hyun, Chun, Eun Ju, Conte, Edoardo, Gottlieb, Ilan, Hadamitzky, Martin, Kim, Yong Jin, Lee, Byoung Kwon, Lee, Sang-Eun, Maffei, Erica, Marques, Hugo, Pontone, Gianluca, Raff, Gilbert L, Shin, Sanghoon, Sung, Ji Min, Stone, Peter, Samady, Habib, Virmani, Renu, Narula, Jagat, Berman, Daniel S, Shaw, Leslee J, Bax, Jeroen J, Lin, Fay Y, Min, James K, Chang, Hyuk-Jae, and Leipsic, Jonathon A

Subjects
Coronary Vessels, Humans, Coronary Stenosis, Disease Progression, Fibrosis, Necrosis, Coronary Angiography, Severity of Illness Index, Registries, Prevalence, Multivariate Analysis, Linear Models, Risk Assessment, Risk Factors, Chi-Square Distribution, Predictive Value of Tests, Time Factors, Aged, Middle Aged, Female, Male, Coronary Artery Disease, Plaque, Atherosclerotic, Vascular Calcification, Computed Tomography Angiography, Coronary computed tomography angiography, Left main coronary artery disease, Natural history, Cardiovascular System & Hematology, Clinical Sciences, Cardiorespiratory Medicine and Haematology
Abstract

BACKGROUND:The aim of the study is examine the impact of non-obstructive (

Published
2018

129. Maximization of the usage of coronary CTA derived plaque information using a machine learning based algorithm to improve risk stratification; insights from the CONFIRM registry

Author

van Rosendael, Alexander R, Maliakal, Gabriel, Kolli, Kranthi K, Beecy, Ashley, Al'Aref, Subhi J, Dwivedi, Aeshita, Singh, Gurpreet, Panday, Mohit, Kumar, Amit, Ma, Xiaoyue, Achenbach, Stephan, Al-Mallah, Mouaz H, Andreini, Daniele, Bax, Jeroen J, Berman, Daniel S, Budoff, Matthew J, Cademartiri, Filippo, Callister, Tracy Q, Chang, Hyuk-Jae, Chinnaiyan, Kavitha, Chow, Benjamin JW, Cury, Ricardo C, DeLago, Augustin, Feuchtner, Gudrun, Hadamitzky, Martin, Hausleiter, Joerg, Kaufmann, Philipp A, Kim, Yong-Jin, Leipsic, Jonathon A, Maffei, Erica, Marques, Hugo, Pontone, Gianluca, Raff, Gilbert L, Rubinshtein, Ronen, Shaw, Leslee J, Villines, Todd C, Gransar, Heidi, Lu, Yao, Jones, Erica C, Peña, Jessica M, Lin, Fay Y, and Min, James K

Subjects
Information and Computing Sciences, Biomedical and Clinical Sciences, Clinical Sciences, Patient Safety, Atherosclerosis, Heart Disease - Coronary Heart Disease, Basic Behavioral and Social Science, Cardiovascular, Clinical Research, Heart Disease, Biomedical Imaging, Behavioral and Social Science, Detection, screening and diagnosis, 4.2 Evaluation of markers and technologies, Aged, Algorithms, Area Under Curve, Computed Tomography Angiography, Coronary Angiography, Coronary Artery Disease, Coronary Stenosis, Coronary Vessels, Female, Humans, Machine Learning, Male, Middle Aged, Multidetector Computed Tomography, Myocardial Infarction, Plaque, Atherosclerotic, Predictive Value of Tests, Prognosis, ROC Curve, Radiographic Image Interpretation, Computer-Assisted, Registries, Reproducibility of Results, Risk Assessment, Risk Factors, Severity of Illness Index, Time Factors, Cardiorespiratory Medicine and Haematology, Cardiovascular System & Hematology, Cardiovascular medicine and haematology, Clinical sciences, Applied computing
Abstract

IntroductionMachine learning (ML) is a field in computer science that demonstrated to effectively integrate clinical and imaging data for the creation of prognostic scores. The current study investigated whether a ML score, incorporating only the 16 segment coronary tree information derived from coronary computed tomography angiography (CCTA), provides enhanced risk stratification compared with current CCTA based risk scores.MethodsFrom the multi-center CONFIRM registry, patients were included with complete CCTA risk score information and ≥3 year follow-up for myocardial infarction and death (primary endpoint). Patients with prior coronary artery disease were excluded. Conventional CCTA risk scores (conventional CCTA approach, segment involvement score, duke prognostic index, segment stenosis score, and the Leaman risk score) and a score created using ML were compared for the area under the receiver operating characteristic curve (AUC). Only 16 segment based coronary stenosis (0%, 1-24%, 25-49%, 50-69%, 70-99% and 100%) and composition (calcified, mixed and non-calcified plaque) were provided to the ML model. A boosted ensemble algorithm (extreme gradient boosting; XGBoost) was used and the entire data was randomly split into a training set (80%) and testing set (20%). First, tuned hyperparameters were used to generate a trained model from the training data set (80% of data). Second, the performance of this trained model was independently tested on the unseen test set (20% of data).ResultsIn total, 8844 patients (mean age 58.0 ± 11.5 years, 57.7% male) were included. During a mean follow-up time of 4.6 ± 1.5 years, 609 events occurred (6.9%). No CAD was observed in 48.7% (3.5% event), non-obstructive CAD in 31.8% (6.8% event), and obstructive CAD in 19.5% (15.6% event). Discrimination of events as expressed by AUC was significantly better for the ML based approach (0.771) vs the other scores (ranging from 0.685 to 0.701), P

Published
2018

130. Usefulness of baseline statin therapy in non-obstructive coronary artery disease by coronary computed tomographic angiography: From the CONFIRM (COronary CT Angiography EvaluatioN For Clinical Outcomes: An InteRnational Multicenter) study

Author

Cho, Yun-Kyeong, Nam, Chang-Wook, Koo, Bon-Kwon, Schulman-Marcus, Joshua, Hartaigh, Bríain Ó, Gransar, Heidi, Lu, Yao, Achenbach, Stephan, Al-Mallah, Mouaz, Andreini, Daniele, Bax, Jeroen J, Budoff, Matthew J, Cademartiri, Filippo, Callister, Tracy Q, Chang, Hyuk-Jae, Chinnaiyan, Kavitha, Chow, Benjamin JW, Cury, Ricardo C, Delago, Augustin, Feuchtner, Gudrun, Hadamitzky, Martin, Hausleiter, Jörg, Kaufmann, Philipp A, Kim, Yong-Jin, Leipsic, Jonathon, Maffei, Erica, Marques, Hugo, Pontone, Gianluca, Raff, Gilbert L, Rubinshtein, Ronen, Shaw, Leslee J, Villines, Todd C, Berman, Daniel S, Jones, Erica C, Peña, Jessica M, Lin, Fay Y, and Min, James K

Subjects
Epidemiology, Biomedical and Clinical Sciences, Health Sciences, Heart Disease - Coronary Heart Disease, Biomedical Imaging, Atherosclerosis, Aging, Cardiovascular, Prevention, Patient Safety, Heart Disease, Clinical Research, Aetiology, Evaluation of treatments and therapeutic interventions, 6.1 Pharmaceuticals, 2.1 Biological and endogenous factors, Good Health and Well Being, Aged, Computed Tomography Angiography, Coronary Artery Disease, Coronary Vessels, Female, Humans, Hydroxymethylglutaryl-CoA Reductase Inhibitors, Kaplan-Meier Estimate, Male, Middle Aged, Proportional Hazards Models, Prospective Studies, Registries, Treatment Outcome, General Science & Technology
Abstract

BackgroundThe extent to which the presence and extent of subclinical atherosclerosis by coronary computed tomography angiography influences a potential mortality benefit of statin is unknown. We evaluated the relationship between statin therapy, mortality, and subclinical atherosclerosis.MethodsIn the CONFIRM study, patients with normal or non-obstructive plaque (

Published
2018

132. Association of Tube Voltage With Plaque Composition on Coronary CT Angiography: Results From PARADIGM Registry

Author

Takagi, Hidenobu, Leipsic, Jonathon A., Indraratna, Praveen, Gulsin, Gaurav, Khasanova, Elina, Tzimas, Georgios, Lin, Fay Y., Shaw, Leslee J., Lee, Sang-Eun, Andreini, Daniele, Al-Mallah, Mouaz H., Budoff, Matthew J., Cademartiri, Filippo, Chinnaiyan, Kavitha, Choi, Jung Hyun, Conte, Edoardo, Marques, Hugo, de Araújo Gonçalves, Pedro, Gottlieb, Ilan, Hadamitzky, Martin, Maffei, Erica, Pontone, Gianluca, Shin, Sanghoon, Kim, Yong-Jin, Lee, Byoung Kwon, Chun, Eun Ju, Sung, Ji Min, Virmani, Renu, Samady, Habib, Stone, Peter H., Berman, Daniel S., Narula, Jagat, Bax, Jeroen J., and Chang, Hyuk-Jae

Published
2021
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133. Cardiac biomarkers for diagnosing Takotsubo syndrome

Author

Schweiger, Victor, primary, Di Vece, Davide, additional, Cammann, Victoria L, additional, Koleva, Iva, additional, Würdinger, Michael, additional, Gilhofer, Thomas, additional, Rajman, Katja, additional, Szawan, Konrad A, additional, Niederseer, David, additional, Citro, Rodolfo, additional, Vecchione, Carmine, additional, Bossone, Eduardo, additional, Gili, Sebastiano, additional, Neuhaus, Michael, additional, Franke, Jennifer, additional, Meder, Benjamin, additional, Jaguszewski, Miłosz, additional, Noutsias, Michel, additional, Knorr, Maike, additional, Jansen, Thomas, additional, D’Ascenzo, Fabrizio, additional, Bruno, Francesco, additional, De Filippo, Ovidio, additional, Stefanini, Giulio, additional, Campo, Gianluca, additional, Wanha, Wojciech, additional, Roubin, Sergio Raposeiras, additional, Dichtl, Wolfgang, additional, von Lewinski, Dirk, additional, Burgdorf, Christof, additional, Kherad, Behrouz, additional, Tschöpe, Carsten, additional, Sarcon, Annahita, additional, Shinbane, Jerold, additional, Rajan, Lawrence, additional, Michels, Guido, additional, Pfister, Roman, additional, Cuneo, Alessandro, additional, Jacobshagen, Claudius, additional, Karakas, Mahir, additional, Koenig, Wolfgang, additional, Pott, Alexander, additional, Meyer, Philippe, additional, Roffi, Marco, additional, Banning, Adrian, additional, Wolfrum, Mathias, additional, Cuculi, Florim, additional, Kobza, Richard, additional, Fischer, Thomas A, additional, Vasankari, Tuija, additional, Airaksinen, K E Juhani, additional, Napp, L Christian, additional, Dworakowski, Rafal, additional, MacCarthy, Philip, additional, Kaiser, Christoph, additional, Osswald, Stefan, additional, Galiuto, Leonarda, additional, Chan, Christina, additional, Bridgman, Paul, additional, Beug, Daniel, additional, Delmas, Clément, additional, Lairez, Olivier, additional, Gilyarova, Ekaterina, additional, Shilova, Alexandra, additional, Gilyarov, Mikhail, additional, El-Battrawy, Ibrahim, additional, Akin, Ibrahim, additional, Poledniková, Karolina, additional, Toušek, Petr, additional, Winchester, David E, additional, Massoomi, Michael, additional, Galuszka, Jan, additional, Ukena, Christian, additional, Poglajen, Gregor, additional, Carrilho-Ferreira, Pedro, additional, Hauck, Christian, additional, Paolini, Carla, additional, Bilato, Claudio, additional, Kobayashi, Yoshio, additional, Kato, Ken, additional, Ishibashi, Iwao, additional, Himi, Toshiharu, additional, Din, Jehangir, additional, Al-Shammari, Ali, additional, Prasad, Abhiram, additional, Rihal, Charanjit S, additional, Liu, Kan, additional, Schulze, P Christian, additional, Bianco, Matteo, additional, Jörg, Lucas, additional, Rickli, Hans, additional, Pestana, Gonçalo, additional, Nguyen, Thanh H, additional, Böhm, Michael, additional, Maier, Lars S, additional, Pinto, Fausto J, additional, Widimský, Petr, additional, Felix, Stephan B, additional, Braun-Dullaeus, Ruediger C, additional, Rottbauer, Wolfgang, additional, Hasenfuß, Gerd, additional, Pieske, Burkert M, additional, Schunkert, Heribert, additional, Budnik, Monika, additional, Opolski, Grzegorz, additional, Thiele, Holger, additional, Bauersachs, Johann, additional, Horowitz, John D, additional, Di Mario, Carlo, additional, Kong, William, additional, Dalakoti, Mayank, additional, Imori, Yoichi, additional, Münzel, Thomas, additional, Bax, Jeroen J, additional, Lüscher, Thomas F, additional, Crea, Filippo, additional, Ruschitzka, Frank, additional, Ghadri, Jelena R, additional, and Templin, Christian, additional

Published
2024
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134. Association between left atrial function and outcome in systemic sclerosis

Author

Giucă, Adrian, primary, Galloo, Xavier, additional, Meucci, Maria C., additional, Butcher, Steele C, additional, Popescu, Bogdan A., additional, Jurcuț, Ruxandra, additional, Săftoiu, Adrian, additional, Jurcuț, Ciprian, additional, Groșeanu, Laura, additional, Ahmed, Saad, additional, Vries-Bouwstra, Jeska, additional, Bax, Jeroen J., additional, and Marsan, Nina Ajmone, additional

Published
2024
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135. Cardiac Damage Staging Predicts Outcomes in Aortic Valve Stenosis After Aortic Valve Replacement

Author

Abdelfattah, Omar M., primary, Jacquemyn, Xander, additional, Sá, Michel Pompeu, additional, Jneid, Hani, additional, Sultan, Ibrahim, additional, Cohen, David J., additional, Gillam, Linda D., additional, Aron, Lucy, additional, Clavel, Marie-Annick, additional, Pibarot, Philippe, additional, Bax, Jeroen J., additional, Kapadia, Samir R., additional, Leon, Martin, additional, and Généreux, Philippe, additional

Published
2024
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136. Atherosclerosis evaluation and cardiovascular risk estimation using coronary computed tomography angiography

Author

Nurmohamed, Nick S, primary, van Rosendael, Alexander R, additional, Danad, Ibrahim, additional, Ngo-Metzger, Quyen, additional, Taub, Pam R, additional, Ray, Kausik K, additional, Figtree, Gemma, additional, Bonaca, Marc P, additional, Hsia, Judith, additional, Rodriguez, Fatima, additional, Sandhu, Alexander T, additional, Nieman, Koen, additional, Earls, James P, additional, Hoffmann, Udo, additional, Bax, Jeroen J, additional, Min, James K, additional, Maron, David J, additional, and Bhatt, Deepak L, additional

Published
2024
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137. Interatrial shunt therapy in advanced heart failure: Outcomes from the open‐label cohort of the RELIEVE‐HF trial

Author

Rodés‐Cabau, Josep, primary, Lindenfeld, JoAnn, additional, Abraham, William T., additional, Zile, Michael R., additional, Kar, Saibal, additional, Bayés‐Genís, Antoni, additional, Eigler, Neal, additional, Holcomb, Richard, additional, Núñez, Julio, additional, Lee, Elizabeth, additional, Perl, Michal Laufer, additional, Moravsky, Gil, additional, Pfeiffer, Michael, additional, Boehmer, John, additional, Gorcsan, John, additional, Bax, Jeroen J., additional, Anker, Stefan, additional, and Stone, Gregg W., additional

Published
2024
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138. Impact of Smoking on Coronary Volume–to–Myocardial Mass Ratio: An ADVANCE Registry Substudy

Author

Holmes, Kenneth R., primary, Gulsin, Gaurav S., additional, Fairbairn, Timothy A., additional, Hurwitz-Koweek, Lynne, additional, Matsuo, Hitoshi, additional, Nørgaard, Bjarne L., additional, Jensen, Jesper M., additional, Sand, Niels-Peter Rønnow, additional, Nieman, Koen, additional, Bax, Jeroen J., additional, Pontone, Gianluca, additional, Chinnaiyan, Kavitha M., additional, Rabbat, Mark G., additional, Amano, Tetsuya, additional, Kawasaki, Tomohiro, additional, Akasaka, Takashi, additional, Kitabata, Hironori, additional, Rogers, Campbell, additional, Patel, Manesh R., additional, Payne, Geoffrey W., additional, Leipsic, Jonathon A., additional, and Sellers, Stephanie L., additional

Published
2024
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141. Atrial secondary tricuspid regurgitation: pathophysiology, definition, diagnosis, and treatment

Author

Muraru, Denisa, primary, Badano, Luigi P, additional, Hahn, Rebecca T, additional, Lang, Roberto M, additional, Delgado, Victoria, additional, Wunderlich, Nina C, additional, Donal, Erwan, additional, Taramasso, Maurizio, additional, Duncan, Alison, additional, Lurz, Philipp, additional, De Potter, Tom, additional, Zamorano Gómez, José L, additional, Bax, Jeroen J, additional, von Bardeleben, Ralph Stephan, additional, Enriquez-Sarano, Maurice, additional, Maisano, Francesco, additional, Praz, Fabien, additional, and Sitges, Marta, additional

Published
2024
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142. Development and Validation of a Quantitative Coronary CT Angiography Model for Diagnosis of Vessel-Specific Coronary Ischemia

Author

Nurmohamed, Nick S., primary, Danad, Ibrahim, additional, Jukema, Ruurt A., additional, de Winter, Ruben W., additional, de Groot, Robin J., additional, Driessen, Roel S., additional, Bom, Michiel J., additional, van Diemen, Pepijn, additional, Pontone, Gianluca, additional, Andreini, Daniele, additional, Chang, Hyuk-Jae, additional, Katz, Richard J., additional, Stroes, Erik S.G., additional, Wang, Hao, additional, Chan, Chung, additional, Crabtree, Tami, additional, Aquino, Melissa, additional, Min, James K., additional, Earls, James P., additional, Bax, Jeroen J., additional, Choi, Andrew D., additional, Knaapen, Paul, additional, van Rosendael, Alexander R., additional, Heo, Ran, additional, Park, Hyung-Bok, additional, Marques, Hugo, additional, Stuijfzand, Wijnand J., additional, Choi, Jung Hyun, additional, Doh, Joon-Hyung, additional, Her, Ae-Young, additional, Koo, Bon-Kwon, additional, Nam, Chang-Wook, additional, Shin, Sang-Hoon, additional, Cole, Jason, additional, Gimelli, Alessia, additional, Khan, Muhammad Akram, additional, Lu, Bin, additional, Gao, Yang, additional, Nabi, Faisal, additional, Al-Mallah, Mouaz H., additional, Nakazato, Ryo, additional, Schoepf, U. Joseph, additional, Thompson, Randall C., additional, Jang, James J., additional, Ridner, Michael, additional, Rowan, Chris, additional, Avelar, Erick, additional, Généreux, Philippe, additional, de Waard, Guus A., additional, Sprengers, Ralf W., additional, and Raijmakers, Pieter G., additional

Published
2024
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145. Contemporary Management of Severe Symptomatic Aortic Stenosis

Author

Iung, Bernard, Bax, Jeroen, De Bonis, Michele, Delgado, Victoria, Haude, Michael, Hindricks, Gerhard, Maggioni, Aldo P., Pierard, Luc, Popescu, Bogdan A., Prendergast, Bernard, Price, Susanna, Rosenhek, Raphael, Ruschitzka, Frank, Vahanian, Alec, Wendler, Olaf, Windecker, Stephan, Mekhaldi, Souad, Lemaitre, Katell, Authier, Sébastien, Laroche, Cécile, Abdelhamid, Magdy, Apor, Astrid, Bajraktari, Gani, Beleslin, Branko, Bogachev-Prokophiev, Alexander, Demarco, Daniela Cassar, Pasquet, Agnes, Dogan, Sait Mesut, Erglis, Andrejs, Evangelista, Arturo, Goda, Artan, Ihlemann, Nikolaj, Ince, Huseyin, Katsaros, Andreas, Linhartova, Katerina, Mascherbauer, Julia, Mirrakhimov, Erkin, Mizariene, Vaida, Rahman-Haley, Shelley, Ribeiras, Regina, Samadov, Fuad, Saraste, Antti, Simkova, Iveta, Kostovska, Elizabeta Srbinovska, Tomkiewicz-Pajak, Lidia, Tribouilloy, Christophe, Zera, Eliverta, Metalla, Mimoza, Shirka, Ervina, Dado, Elona, Bica, Loreta, Aleksi, Jorida, Knuti, Gerti, Gjyli, Lidra, Pjeci, Rudina, Shuperka, Eritinka, Lleshi, Erviola, Rustemaj, Joana, Qordja, Marsjon, Gina, Mirald, Husi, Senada, Basic, Daniel, Steringer-Mascherbauer, Regina, Huber, Charlotte, Ebner, Christian, Sigmund, Elisabeth, Ploechl, Andrea, Sturmberger, Thomas, Eder, Veronica, Koppler, Tanja, Heger, Maria, Kammerlander, Andreas, Duca, Franz, Binder, Christina, Koschutnik, Matthias, Perschy, Leonard, Puskas, Lisa, Ho, Chen-Yu, Aliyev, Farid, Guluzada, Vugar, Imanov, Galib, Ibrahimov, Firdovsi, Abbasaliyev, Abbasali, Ahmedov, Tahir, Muslumova, Fargana, Babayev, Jamil, Rustamova, Yasmin, Jahangirov, Tofig, Samadov, Rauf, Museyibov, Muxtar, Isayev, Elnur, Musayev, Oktay, Xalilov, Shahin, Huseynov, Saleh, Yuzbashova, Madina, Zamanov, Vuqar, Mammadov, Vusal, Van Camp, Gery, Penicka, Martin, Batjoens, Hedwig, Debonnaire, Philippe, Dendooven, Daniel, Knecht, Sebastien, Duytschaever, Mattias, Vandekerckhove, Yves, Missault, Luc, Muyldermans, Luc, Tavernier, René, De Grande, Tineke, Coussement, Patrick, DeTroyer, Joyce, Derycker, Katrien, De Jaegher, Kelly, Bondue, Antoine, Beauloye, Christophe, Goffinet, Céline, Mirica, Daniela Corina, Eynden, Frédéric Vanden, Van de Borne, Philippe, Van Frachen, Béatrice, Vancraeynest, David, Vanoverschelde, Jean Louis, Pierard, Sophie, Malanca, Mihaela, Sinnaeve, Florence, Tahon, Séverine, De Clippel, Marie, Gayet, Frederic, Loiseau, Jacques, Van de Veire, Nico, Moerman, Veronique, Willems, Anne-Marie, Cosyns, Bernard, Droogmans, Steven, Motoc, Andreea, Kerkhove, Dirk, Plein, Daniele, Roosens, Bram, Weytjens, Caroline, Lancellotti, Patrizio, Dulgheru, Elena Raluca, Parenicova, Ilona, Bedanova, Helena, Tousek, Frantisek, Sindelarova, Stepanka, Canadyova, Julia, Taborsky, Milos, Ostransky, Jiri, Ivona simkova, Vicha, Marek, Jelinek, Libor, Opavska, Irena, Homza, Miroslav, Kvrayola, Miriam, Brat, Radim, Mrozek, Dan, Lichnerova, Eva, Docekalova, Iveta, Zarybnicka, Marta, Peskova, Marketa, Roucka, Patrik, Stastna, Vlasta, Vondrackova, Dagmar Jungwirtova, Hornig, Alfred, Niznansky, Matus, Branny, Marian, Vodzinska, Alexandra, Dorda, Miloslav, Snkouril, Libor, Kluz, Krystyna, Kypusova, Jana, Nezvalova, Radka, Olsen, Niels Thue, Ali, Hosam Hasan, Taha, Salma, Hassan, Mohamed, Afifi, Ahmed, Kabil, Hamza, Mady, Amr, Ebaid, Hany, Ahmed, Yasser, Nour, Mohammad, Talaat, Islam, Sayed, CairoMaiy El, Mostafa, Ahmad Elsayed, Sadek, CairoYasser, Eltobgi, CairoSherif, Bakhoum, Sameh, Doss, Ramy, Sheashea, Mahmoud, Elasry, Abd Allah, Fouad, Ahmed, Baraka, Mahmoud, Samir, Sameh, Roshdy, Alaa, AbdelRazek, Yasmin, Abd Rabou, Mostafa M., Abobakr, Ahmed, Moaaz, Moemen, Mokhtar, Mohamed, Ashry, Mohamed, Elkhashab, Khaled, Ghareeb, Haytham Soliman, Kamal, Mostafa, AbdelRazek, Gomaa, Farag, GizaNabil, Elbarbary, Giza:Ahmed, Wahib, Evette, Kazamel, Ghada, Kamal, Diaa, Tantawy, Mahmoud, Alansary, Adel, Yahia, Mohammed, Mahmoud, Raouf, El Banna, Tamer, Atef, Mohamed, Nasr, Gamela, Ahmed, Salah, El Hefny, Ehab E., Saifelyazal, Islam, El Ghany, 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2021
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