Posts Tagged ‘Critical Care’
Digital health and acute kidney injury: consensus report of the 27th Acute Disease Quality Initiative workgroup.
Link: https://doi.org/10.1038/s41581-023-00744-7 Authors: Kashani, Kianoush B; Awdishu, Linda; Bagshaw, Sean M; Barreto, Erin F; Claure-Del Granado, Rolando; Evans, Barbara J; Forni, Lui G; Ghosh, Erina; Goldstein, Stuart L; Kane-Gill, Sandra L; Koola, Jejo; Koyner, Jay L; Liu, Mei; Murugan, Raghavan; Nadkarni, Girish N; Neyra, Javier A; Ninan, Jacob; Ostermann, Marlies; Pannu, Neesh; Rashidi, Parisa; Ronco,…
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 MoreTiming of invasive mechanical ventilation and death in critically ill adults with COVID-19: A multicenter cohort study.
Link: https://doi.org/10.1371/journal.pone.0285748 Authors: Green, Adam; Rachoin, Jean-Sebastien; Schorr, Christa; Dellinger, Phil; Casey, Jonathan D; Park, Isabel; Gupta, Shruti; Baron, Rebecca M; Shaefi, Shahzad; Hunter, Krystal; Leaf, David E; , Abstract: To investigate if the timing of initiation of invasive mechanical ventilation (IMV) for critically ill patients with COVID-19 is associated with mortality. The data for…
Read MoreResearching COVID to Enhance Recovery (RECOVER) adult study protocol: Rationale, objectives, and design.
Link: https://doi.org/10.1371/journal.pone.0286297 Authors: Horwitz, Leora I; Thaweethai, Tanayott; Brosnahan, Shari B; Cicek, Mine S; Fitzgerald, Megan L; Goldman, Jason D; Hess, Rachel; Hodder, S L; Jacoby, Vanessa L; Jordan, Michael R; Krishnan, Jerry A; Laiyemo, Adeyinka O; Metz, Torri D; Nichols, Lauren; Patzer, Rachel E; Sekar, Anisha; Singer, Nora G; Stiles, Lauren E; Taylor, Barbara…
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 MoreEvaluation of Plasma Biomarkers to Predict Major Adverse Kidney Events in Hospitalized Patients With COVID-19.
Link: https://doi.org/S0272-6386(23)00648-0 Authors: Menez, Steven; Coca, Steven G; Moledina, Dennis G; Wen, Yumeng; Chan, Lili; Thiessen-Philbrook, Heather; Obeid, Wassim; Garibaldi, Brian T; Azeloglu, Evren U; Ugwuowo, Ugochukwu; Sperati, C John; Arend, Lois J; Rosenberg, Avi Z; Kaushal, Madhurima; Jain, Sanjay; Wilson, F Perry; Parikh, Chirag R; , Abstract: Patients hospitalized with COVID-19 are at increased…
Read MoreA machine learning approach to determine resilience utilizing wearable device data: analysis of an observational cohort.
Link: https://doi.org/10.1093/jamiaopen/ooad029 Authors: Hirten, Robert P; Suprun, Maria; Danieletto, Matteo; Zweig, Micol; Golden, Eddye; Pyzik, Renata; Kaur, Sparshdeep; Helmus, Drew; Biello, Anthony; Landell, Kyle; Rodrigues, Jovita; Bottinger, Erwin P; Keefer, Laurie; Charney, Dennis; Nadkarni, Girish N; Suarez-Farinas, Mayte; Fayad, Zahi A Abstract: To assess whether an individual’s degree of psychological resilience can be determined from…
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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