Posts Tagged ‘Cardiology’
Circulating Metabolomic Associations with Neurocognitive Outcomes in Pediatric CKD.
Link: https://doi.org/10.2215/CJN.0000000000000318 Authors: Lee, Arthur M; Xu, Yunwen; Hooper, Stephen R; Abraham, Alison G; Hu, Jian; Xiao, Rui; Matheson, Matthew B; Brunson, Celina; Rhee, Eugene P; Coresh, Josef; Vasan, Ramachandran S; Schrauben, Sarah; Kimmel, Paul L; Warady, Bradley A; Furth, Susan L; Hartung, Erum A; Denburg, Michelle R; , Abstract: Children with CKD are at…
Read MoreAssociation of Racial Residential Segregation With Long-Term Outcomes and Readmissions After Out-of-Hospital Cardiac Arrest Among Medicare Beneficiaries.
Link: https://doi.org/10.1161/JAHA.123.030138 Authors: Abbott, Ethan E; Buckler, David G; Hsu, Jesse Y; Abella, Benjamin S; Richardson, Lynne D; Carr, Brendan G; Zebrowski, Alexis M Abstract: Background The national impact of racial residential segregation on out-of-hospital cardiac arrest outcomes after initial resuscitation remains poorly understood. We sought to characterize the association between measures of racial and…
Read MoreAutomated Identification of Heart Failure with Reduced Ejection Fraction using Deep Learning-based Natural Language Processing.
Link: https://doi.org/10.1101/2023.09.10.23295315 Authors: Nargesi, Arash A; Adejumo, Philip; Dhingra, Lovedeep; Rosand, Benjamin; Hengartner, Astrid; Coppi, Andreas; Benigeri, Simon; Sen, Sounok; Ahmad, Tariq; Nadkarni, Girish N; Lin, Zhenqiu; Ahmad, Faraz S; Krumholz, Harlan M; Khera, Rohan Abstract: The lack of automated tools for measuring care quality has limited the implementation of a national program to assess…
Read MoreTime-to-Event Genome-Wide Association Study for Incident Cardiovascular Disease in People with Type 2 Diabetes Mellitus.
Link: https://doi.org/10.1101/2023.07.25.23293180 Authors: Kwak, Soo Heon; Hernandez-Cancela, Ryan B; DiCorpo, Daniel A; Condon, David E; Merino, Jordi; Wu, Peitao; Brody, Jennifer A; Yao, Jie; Guo, Xiuqing; Ahmadizar, Fariba; Meyer, Mariah; Sincan, Murat; Mercader, Josep M; Lee, Sujin; Haessler, Jeffrey; Vy, Ha My T; Lin, Zhaotong; Armstrong, Nicole D; Gu, Shaopeng; Tsao, Noah L; Lange, Leslie…
Read MoreA Novel ECG-Based Deep Learning Algorithm to Predict Cardiomyopathy in Patients With Premature Ventricular Complexes.
Link: https://doi.org/S2405-500X(23)00339-0 Authors: Lampert, Joshua; Vaid, Akhil; Whang, William; Koruth, Jacob; Miller, Marc A; Langan, Marie-Noelle; Musikantow, Daniel; Turagam, Mohit; Maan, Abhishek; Kawamura, Iwanari; Dukkipati, Srinivas; Nadkarni, Girish N; Reddy, Vivek Y Abstract: Premature ventricular complexes (PVCs) are prevalent and, although often benign, they may lead to PVC-induced cardiomyopathy. We created a deep-learning algorithm to…
Read MoreDeep Learning on Electrocardiograms for Prediction of In-hospital Intradialytic Hypotension in Patients with ESKD.
Link: https://doi.org/10.34067/KID.0000000000000208 Authors: Vaid, Akhil; Takkavatakarn, Kullaya; Divers, Jasmin; Charytan, David M; Chan, Lili; Nadkarni, Girish N Abstract: Intradialytic hypotension is common in patients who are on hemodialysis. We applied deep learning techniques to ECGs to predict patients at risk of IDH. The performance of the model was good with an AUC of 0.763 and…
Read MoreInteratrial Block Association With Adverse Cardiovascular Outcomes in Patients Without a History of Atrial Fibrillation.
Link: https://doi.org/S2405-500X(23)00254-2 Authors: Lampert, Joshua; Power, David; Havaldar, Shreyas; Govindarajulu, Usha; Kawamura, Iwanari; Maan, Abhishek; Miller, Marc A; Menon, Kartikeya; Koruth, Jacob; Whang, William; Bagiella, Emilia; Bayes-Genis, Antoni; Musikantow, Daniel; Turagam, Mohit; Bayes de Luna, Antoni; Halperin, Jonathan; Dukkipati, Srinivas R; Vaid, Akhil; Nadkarni, Girish; Glicksberg, Benjamin; Fuster, Valentin; Reddy, Vivek Y Abstract: Interatrial block…
Read MoreA foundational vision transformer improves diagnostic performance for electrocardiograms.
Link: https://doi.org/10.1038/s41746-023-00840-9 Authors: Vaid, Akhil; Jiang, Joy; Sawant, Ashwin; Lerakis, Stamatios; Argulian, Edgar; Ahuja, Yuri; Lampert, Joshua; Charney, Alexander; Greenspan, Hayit; Narula, Jagat; Glicksberg, Benjamin; Nadkarni, Girish N Abstract: The electrocardiogram (ECG) is a ubiquitous diagnostic modality. Convolutional neural networks (CNNs) applied towards ECG analysis require large sample sizes, and transfer learning approaches for biomedical…
Read MorePolygenic prediction of preeclampsia and gestational hypertension.
Link: https://doi.org/10.1038/s41591-023-02374-9 Authors: Honigberg, Michael C; Truong, Buu; Khan, Raiyan R; Xiao, Brenda; Bhatta, Laxmi; Vy, Ha My T; Guerrero, Rafael F; Schuermans, Art; Selvaraj, Margaret Sunitha; Patel, Aniruddh P; Koyama, Satoshi; Cho, So Mi Jemma; Vellarikkal, Shamsudheen Karuthedath; Trinder, Mark; Urbut, Sarah M; Gray, Kathryn J; Brumpton, Ben M; Patil, Snehal; Zöllner, Sebastian; Antopia,…
Read MoreQuantitative prediction of right ventricular and size and function from the electrocardiogram.
Link: https://doi.org/10.1101/2023.04.25.23289130 Authors: Duong, Son Q; Vaid, Akhil; Vy, Ha My Thi; Butler, Liam R; Lampert, Joshua; Pass, Robert H; Charney, Alexander W; Narula, Jagat; Khera, Rohan; Greenspan, Hayit; Gelb, Bruce D; Do, Ron; Nadkarni, Girish Abstract: Right ventricular ejection fraction (RVEF) and end-diastolic volume (RVEDV) are not readily assessed through traditional modalities. Deep-learning enabled…
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