Association of the V122I Hereditary Transthyretin Amyloidosis Genetic Variant With Heart Failure Among Individuals of African or Hispanic/Latino Ancestry.

Link: https://doi.org/10.1001/jama.2019.17935 Authors: Damrauer, Scott M; Chaudhary, Kumardeep; Cho, Judy H; Liang, Lusha W; Argulian, Edgar; Chan, Lili; Dobbyn, Amanda; Guerraty, Marie A; Judy, Renae; Kay, Jenna; Kember, Rachel L; Levin, Michael G; Saha, Aparna; Van Vleck, Tielman; Verma, Shefali S; Weaver, JoEllen; Abul-Husn, Noura S; Baras, Aris; Chirinos, Julio A; Drachman, Brian; Kenny, Eimear…

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Estimated Glomerular Filtration Rate, Albuminuria, and Adverse Outcomes: An Individual-Participant Data Meta-Analysis.

Link: https://doi.org/10.1001/jama.2023.17002 Authors: , ; Grams, Morgan E; Coresh, Josef; Matsushita, Kunihiro; Ballew, Shoshana H; Sang, Yingying; Surapaneni, Aditya; Alencar de Pinho, Natalia; Anderson, Amanda; Appel, Lawrence J; Ärnlöv, Johan; Azizi, Fereidoun; Bansal, Nisha; Bell, Samira; Bilo, Henk J G; Brunskill, Nigel J; Carrero, Juan J; Chadban, Steve; Chalmers, John; Chen, Jing; Ciemins, Elizabeth; Cirillo,…

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Neighborhood Childhood Opportunity, Race/Ethnicity, and Surgical Outcomes in Children With Congenital Heart Disease.

Link: https://doi.org/S0735-1097(23)06037-0 Authors: Duong, Son Q; Elfituri, Mahmud O; Zaniletti, Isabella; Ressler, Robert W; Noelke, Clemens; Gelb, Bruce D; Pass, Robert H; Horowitz, Carol R; Seiden, Howard S; Anderson, Brett R Abstract: Racial and ethnic disparities in outcomes for children with congenital heart disease (CHD) coexist with disparities in educational, environmental, and economic opportunity. We…

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Major cardiovascular events and subsequent risk of kidney failure with replacement therapy: a CKD Prognosis Consortium study.

Link: https://doi.org/10.1093/eurheartj/ehac825 Authors: Mark, Patrick B; Carrero, Juan J; Matsushita, Kunihiro; Sang, Yingying; Ballew, Shoshana H; Grams, Morgan E; Coresh, Josef; Surapaneni, Aditya; Brunskill, Nigel J; Chalmers, John; Chan, Lili; Chang, Alex R; Chinnadurai, Rajkumar; Chodick, Gabriel; Cirillo, Massimo; de Zeeuw, Dick; Evans, Marie; Garg, Amit X; Gutierrez, Orlando M; Heerspink, Hiddo J L; Heine,…

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Deep learning and the electrocardiogram: review of the current state-of-the-art.

Link: https://doi.org/10.1093/europace/euaa377 Authors: Somani, Sulaiman; Russak, Adam J; Richter, Felix; Zhao, Shan; Vaid, Akhil; Chaudhry, Fayzan; De Freitas, Jessica K; Naik, Nidhi; Miotto, Riccardo; Nadkarni, Girish N; Narula, Jagat; Argulian, Edgar; Glicksberg, Benjamin S Abstract: In the recent decade, deep learning, a subset of artificial intelligence and machine learning, has been used to identify patterns…

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Multi-center retrospective cohort study applying deep learning to electrocardiograms to identify left heart valvular dysfunction.

Link: https://doi.org/10.1038/s43856-023-00240-w Authors: Vaid, Akhil; Argulian, Edgar; Lerakis, Stamatios; Beaulieu-Jones, Brett K; Krittanawong, Chayakrit; Klang, Eyal; Lampert, Joshua; Reddy, Vivek Y; Narula, Jagat; Nadkarni, Girish N; Glicksberg, Benjamin S Abstract: Aortic Stenosis and Mitral Regurgitation are common valvular conditions representing a hidden burden of disease within the population. The aim of this study was to…

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Machine learning-based marker for coronary artery disease: derivation and validation in two longitudinal cohorts.

Link: https://doi.org/S0140-6736(22)02079-7 Authors: Forrest, Iain S; Petrazzini, Ben O; Duffy, Áine; Park, Joshua K; Marquez-Luna, Carla; Jordan, Daniel M; Rocheleau, Ghislain; Cho, Judy H; Rosenson, Robert S; Narula, Jagat; Nadkarni, Girish N; Do, Ron Abstract: Binary diagnosis of coronary artery disease does not preserve the complexity of disease or quantify its severity or its associated…

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