Citations 2
Titin-related familial dilated cardiomyopathy: factors associated with disease onset
Johnson, Renée , Fletcher, Robert A. , Peters, Stacey , Ohanian, Monique , Soka, Magdalena , Smolnikov, Andrei , Abihider, Katherine E, Ackerman, Michael J. , Ader, Flavie , Akhtar, Mohammed , Ashley, Euan A. , Austin, Rachel , Baas, Annette F., Blouin, Jean‐Louis , Brown, Emily E. , Cannie, Douglas , Correnti, Gemma, Ferro, Matteo Dal , Dellefave‐Castillo, Lisa , Dooijes, Dennis , Dybro, Anne M. , Demri, Youssef Ed, Hachmi, Mohamed El , Escobar-López, Luis , Foye, Sarah , Gigli, Marta , López, Esther González , Goudal, Adeline , Graw, Sharon , Guipponi, Michel, Haan, Eric , Haas, Jan , Hammersley, Daniel , Hansen, Frederikke , Hey, Thomas Morris , Houweling, Arjan C. , Ingrey, A., Jabbour, Andrew , Jansweijer, Joeri A. , Jongbloed, Jan D.H. , Keogh, Anne , Deprez, Ronald H. Lekanne , Macciocca, Ivan , Mansencal, Nicolas , Mansour, Julia, Martinez‐Veira, Cristina, Medo, Kristen , Merlo, Marco , Michalak, Ewa , Monserrat, Lorenzo , Mountain, Helen , Murphy, Anne M. , Murray, Brittney , Pachter, Nicholas , Palmyre, Aurélien , Pereira, Naveen L. , Picard, Kermshlise, Prasad, Sanjay , Proukhnitzky, Julie , Pruny, Jean-François, Réant, Patricia , Ronan, Anne , Semsarian, Christopher , Storm, Garrett , Thomson, Kate , Thompson, Tina , Wallis, Mathew , Flagship, Australian Genomics Cardiac, Adès, Lesley C., Alankarage, Dimithu, almog, Morgan, Al-Shinnag, Mohammad , Barnett, Chris , Bodek, Simon , Boggs, Kirsten, Bray, Alessandra , Brown, Jaye, Burns, Charlotte , Cao, Michelle, Carr, Will, Casauria, Sarah , Chalinor, Heather V., Chang, Yu‐Chen , Charitou, Theodosia , Collins, Felicity, Correnti, Gemma, Cox, Kathy, Das, Debjani , Fazio, Paul De, Elzen, Nicola Den, Devery, Sophie , Dobbins, Julia , Elbracht-Leong, Stefanie, Enríquez, A. Juanico, Fatkin, Diane , Fear, Vanessa S. , Fine, Miriam, Garza, Denisse , Gongolidis, Laura, Gray, Belinda , Greer, Cassie, Haan, Eric, Haas, Mathilda, Hanna, Bernadette , Hayward, Janette, Herrera, Carmen, Hill, Adam P. , Hollingsworth, Georgie, Hollway, Georgina E. , Horton, Ari , Ingles, Jodie, Isbister, Joanne , Jane-Pantaleo, Sarah, Kelly, Andrew , King‐Smith, Sarah L., Lassman, Timo, Lipton, Jonathon, MacIntyre, Paul, Madelli, Evanthia O. , Martin, Ellenore , Medi, C., Metke, Alejandro, Morrish, A., Morwood, Jim, Mowat, David , Ng, Chai‐Ann , Nowak, Natalie , Martinez, Noelia Nunez, O'Sullivan, S. S. , Overkov, Angela, Perrin, Mark J. , Perry, Matthew , Pflaumer, Andreas , Phillips, Peta, Phuong, Thuan, Pope-Couston, Rachel, Poplawski, Nicola K., Punni, Preeti, Rajagopalan, Sulekha , Regan, Matthew, Rogers, Jonathan, Ryan, Mark , Sandaradura, Sarah A. , Schönrock, Nicole, Scuffham, Paul , Sherburn, Isabella, Sherlock, Mary-Clare, Smerdon, Carla, Smith, Janine , Smyth, Renee, Sy, Raymond W. , Tang, Dotti, Taylor, Shelby , Tchan, Michel , Trainer, Alison, Trivedi, Gunjan, Spaendonck‐Zwarts, Karin van , Vandenberg, Jamie I. , Verma, Kunal , Vidgen, Miranda E. , Vohra, Jitendra K. , Waddel-Smith, Kathryn, Weintraub, Robert G, Worgan, Lisa , Wornham, Linda, Wu, Kathy H. C. , Yeates, Laura , Zentner, Dominica, Arnott, Clare , Fokstuen, Siv , Meder, Benjamin , Giudicessi, John R. , Parikh, Victoria N. , Ware, James S. , Rooryck, Caroline , Lakdawala, Neal K. , Elliott, Perry , Charron, Philippe , Peña‐Peña, María Luisa, Mogensen, Jens , Rasmussen, Torsten B. , Seidman, Jonathan G. , Seidman, Christine E. , Riele, Anneline S.J.M. te , Pinto, Yigal M. , Christiaans, Imke , Fatkin, Diane, Gray, Belinda , Akhtar, Mohammed M , Amin, Ahmad S , Ashley, Euan A , Atherton, John J , Austin, Rachel , Baas, Annette F , Bagnall, Richard D , Ross, Samantha Barratt , Blouin, Jean-Louis , Brown, Emily E , Bundgaard, Henning , Cannie, Douglas , Chmielewski, Przemyslaw , Crespo-Leiro, Maria Generosa , Dal Ferro, Matteo , Dellefave-Castillo, Lisa M , Dominguez, Fernando , Dybro, Anne M , Ed Demri, Youssef , El Hachmi, Mohamed , Escobar-Lopez, Luis , Foye, Sarah Jajesnica , Franaszczyk, Maria , Gigli, Marta , Goudal, Adeline , Graw, Sharon , Guipponi, Michel , Haan, Eric , Hammersley, Daniel J , Hansen, Frederikke G , Hayward, Chris , Hey, Thomas Morris , Ho, Carolyn Y , Houweling, Arjan C , Jabbour, Andrew , Jansweijer, Joeri A , Jongbloed, Jan D H , Keogh, Anne M , Larrañaga-Moreira, Jose M , Lekanne Deprez, Ronald H , Macciocca, Ivan , Macdonald, Peter S , McDonough, Barbara , McGaughran, Julie , Medo, Kristen , Michalak, Ewa , Monserrat, Lorenzo , Mountain, Helen , Muller, Steven A , Murphy, Anne M , Oates, Emily C , Ormondroyd, Elizabeth , Pachter, Nicholas , Palmyre, Aurélien , Pereira, Naveen L , Proukhnitzky, Julie , Reant, Patricia , Richard, Pascale , Ronan, Anne , Sedaghat-Hamedani, Farbod , Semsarian, Christopher , Storm, Garrett , Stroeks, Sophie , Taylor, Matthew R G , Thomson, Kate , Thompson, Tina , van Tintelen, J Peter , Vissing, Christoffer Rasmus , Waddell-Smith, Kathryn E , Wallis, Mathew , Marian, Ali J , Fokstuen, Siv , Giudicessi, J R , Parikh, Victoria N , Piriou, Nicolas , Rooryck, Caroline , Lakdawala, Neal K , Mestroni, Luisa , van Spaendonck-Zwarts, Karin Y , Garcia-Pavia, Pablo , Peña-Peña, Maria Luisa , Christensen, Alex Hoerby , Bilińska, Zofia T , Rasmussen, Torsten B , Seidman, Jonathan G , Seidman, Christine E , Te Riele, Anneline S J M , Ware, James S , Gray, Belinda , Vandenberg, Jamie I , Fletcher, Robert A , Amin, Ahmad S. , Bundgaard, Henning , Crespo‐Leiro, María G. , Domínguez, Fernándo , Heymans, Stéphane , Ho, Carolyn Y. , Ingles, Jodie , James, Paul A. , McGaughran, Julie , Paldino, Alessia , Poplawski, Nicola Kazia , Prasad, Sanjay K , Syrris, Petros , Taylor, Matthew R.G. , Tintelen, J. Peter van , Zentner, Dominica , Flagship, Australian Genomics Cardiac, Barnett, Chris, Blue, Gillian M. , Bogwitz, Michael R. , Boughtwood, Tiffany F. , Brion, Marie‐Jo , Bryson‐Richardson, Robert J. , Burnett, Leslie , Chapman, Gavin , Chong, Belinda , Correnti, Gemma, Cox, Kathy, Cunningham, Fiona, Davis, Jason A. , Davis, Andrew M. , Silva, M. De , Dunwoodie, Sally L. , Dwyer, Nathan , Elliott, David A. , Enriquez, Annabel, Finlay, Keri , Giannoulatou, Eleni , Greer, Cassie, Harvey, Richard Paul , Herrera, Carmen, Hill, Adam, Howting, Denise A. , Jackson, Matilda R. , Johnson, Renee, Kirk, Edwin Philip , Kummerfeld, Sarah , Lunke, Sebastian , MacIntyre, Paul, Mallawaarachchi, Amali C. , Mathew, Jacob , Mattiske, Tessa , McLean, Alison K. , McNamara, James W. , Milnes, Di , Milward, Michael, O'Sullivan, Sinead, Patel, Chirag , Quinn, Michael C. , Raju, Hariharan , Rath, Emma M. , Regan, Matthew, Ryan, Mark, Singer, Emma S. , Stark, Zornitza , Taylor, Jessica, Thorpe, Jordan , Trivedi, Gunjan , Valente, Giulia , Wilson, Meredith , Winlaw, David Scott , Zentner, Dominica, Oh, Jae Won , James, Cynthia A. , Villa, Roberto Barriales , Wahbi, Karim , Mestroni, Luisa , Sinagra, Gianfranco , Watkins, Hugh , McNally, Elizabeth M. , Charron, Philippe , Verdonschot, Job A.J.
European Heart Journal | July 18, 2025 | Volume: 46 | Issue: 48 | Pages: 5240-5257
Abstract Background and Aims Truncating variants in the TTN gene (TTNtv) are the most common genetic cause of dilated cardiomyopathy (DCM) but also occur as incidental findings in the general population. This study investigated factors associated with the clinical manifestation of TTNtv. Methods An international multicentre retrospective observational study was performed in families with TTNtv-related DCM. Shared frailty models were used to estimate associations of variant characteristics with lifetime risk of DCM, and logistic regression to estimate odds ratios (ORs) for individual-level clinical risk factor profiles (cardiac conditions, cardiovascular comorbidities, lifestyle) and DCM. Results A total of 3158 subjects in 1043 families with TTNtv-related DCM were studied. TTNtv-positive subjects were 21-fold more likely to develop DCM [OR, 21.21; 95% confidence interval (CI), 14.80–30.39]. Disease onset was earlier in males, but was similar for TTNtv of different types and locations. The presence of clinical risk factors was associated with earlier DCM onset (OR, 3.41; 95% CI, 2.06–5.64), with a prior history of atrial fibrillation having a two-fold increased odds of DCM (OR, 2.05; 95% CI, 1.27–3.32). The prevalence of clinical risk factors increased with age; however, the strength of the DCM association was greatest for young-onset (<30 years) disease (OR, 4.75; 95% CI, 2.35–9.60). Administration of beta-adrenergic receptor or renin-angiotensin system-blocking drugs prior to overt DCM was associated with 87% reduced odds of DCM (OR, .13; 95% CI, .08–.23). Conclusions Disease onset in TTNtv-associated familial DCM is dependent on individual patient context and is potentially modifiable by risk factor management and prophylactic therapeutic intervention.
Abstract 13567: Impact of Mavacamten on Artificial Intelligence Electrocardiographic Diagnosis of Hypertrophic Cardiomyopathy in the EXPLORER-HCM Trial
Siontis, Konstantinos C. , Abreau, Sean , Abraham, Theodore P. , Oręziak, Artur , Masri, Ahmad , Lakdawala, Neal K. , Agarwal, Priyanka, Balasubramanyam, Aarthi, Sehnert, Amy J. , Friedman, Paul A. , Olgin, Jeff E, Barrios, Joshua P. , Attia, Zachi I. , Olivotto, Iacopo , Villa, Roberto Barriales , Olgin, Jeff E, Noseworthy, Peter A. , Tison, Geoffrey H.
Circulation | June 15, 2023 | Volume: 146 | Issue: Suppl_1 | Pages: No page available
10.1161/circ.146.suppl_1.13567
Introduction: Deep-learning artificial intelligence (AI) algorithms can identify hypertrophic cardiomyopathy (HCM) from the electrocardiogram (ECG). Preliminary data indicate that AI-ECG may also track treatment response in HCM patients (pts) receiving mavacamten (Mava). In this placebo-controlled analysis, we investigated the performance of AI-ECG in HCM detection and its changes during Mava treatment compared to placebo in the phase 3, EXPLORER-HCM trial. Methods: Pts with non-paced ECGs enrolled in EXPLORER-HCM, evaluating Mava over 30 weeks of treatment, were included. All pts had a 12-lead ECG pre-treatment, at each study visit, and 8 weeks after treatment end. Two independently developed AI-ECG convolutional neural network algorithms from the Mayo Clinic and the University of California, San Francisco (UCSF) were applied to all ECGs suitable for analysis. Serial AI-ECG-predicted scores, which correlate with HCM likelihood (range 0-1), were examined between Mava and placebo groups. Results: A total of 101 Mava and 110 placebo pts were included (mean age 58.6, female 40%). At baseline, the mean Mayo and UCSF AI-ECG scores for HCM were 0.82 and 0.65, with 94% and 88% of pts exceeding the respective diagnostic thresholds of 0.11 (Mayo) and 0.4 (UCSF). During 30 weeks of follow-up in the Mava group, the algorithms showed a mean AI-ECG score reduction of 0.32 (Mayo) and 0.17 (UCSF) in all pts between start and end of treatment. In comparison, AI-ECG scores decreased by 0.05 (Mayo) and increased by 0.02 (UCSF) in the placebo group (Mava vs placebo, t-test p-values <0.001 for both algorithms; Figure ) Conclusion: In the EXPLORER-HCM trial population, two independent deep-learning AI-ECG algorithms correctly identified most HCM pts and demonstrated significant reductions in predicted HCM scores after treatment with Mava when compared to placebo. This relative normalization of the ECG suggests disease-modifying properties of Mava, deserving further investigation.