Posts Tagged ‘COVID-19’
Impact of the COVID-19 Pandemic on Nephrology Fellow Training and Well-Being in the United States: A National Survey.
Link: https://doi.org/10.1681/ASN.2020111636 Authors: Pivert, Kurtis A; Boyle, Suzanne M; Halbach, Susan M; Chan, Lili; Shah, Hitesh H; Waitzman, Joshua S; Mehdi, Ali; Norouzi, Sayna; Sozio, Stephen M Abstract: The coronavirus disease 2019 (COVID-19) pandemic’s effects on nephrology fellows’ educational experiences, preparedness for practice, and emotional wellbeing are unknown. We recruited current adult and pediatric fellows…
Read MoreAssociation of SARS-CoV-2 viral load at admission with in-hospital acute kidney injury: A retrospective cohort study.
Link: https://doi.org/10.1371/journal.pone.0247366 Authors: Paranjpe, Ishan; Chaudhary, Kumardeep; Johnson, Kipp W; Jaladanki, Suraj K; Zhao, Shan; De Freitas, Jessica K; Pujdas, Elisabet; Chaudhry, Fayzan; Bottinger, Erwin P; Levin, Matthew A; Fayad, Zahi A; Charney, Alexander W; Houldsworth, Jane; Cordon-Cardo, Carlos; Glicksberg, Benjamin S; Nadkarni, Girish N Abstract: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the…
Read MoreUse of Physiological Data From a Wearable Device to Identify SARS-CoV-2 Infection and Symptoms and Predict COVID-19 Diagnosis: Observational Study.
Link: https://doi.org/10.2196/26107 Authors: Hirten, Robert P; Danieletto, Matteo; Tomalin, Lewis; Choi, Katie Hyewon; Zweig, Micol; Golden, Eddye; Kaur, Sparshdeep; Helmus, Drew; Biello, Anthony; Pyzik, Renata; Charney, Alexander; Miotto, Riccardo; Glicksberg, Benjamin S; Levin, Matthew; Nabeel, Ismail; Aberg, Judith; Reich, David; Charney, Dennis; Bottinger, Erwin P; Keefer, Laurie; Suarez-Farinas, Mayte; Nadkarni, Girish N; Fayad, Zahi A…
Read MoreExtracorporeal membrane oxygenation in patients with severe respiratory failure from COVID-19.
Link: https://doi.org/10.1007/s00134-020-06331-9 Authors: Shaefi, Shahzad; Brenner, Samantha K; Gupta, Shruti; O’Gara, Brian P; Krajewski, Megan L; Charytan, David M; Chaudhry, Sobaata; Mirza, Sara H; Peev, Vasil; Anderson, Mark; Bansal, Anip; Hayek, Salim S; Srivastava, Anand; Mathews, Kusum S; Johns, Tanya S; Leonberg-Yoo, Amanda; Green, Adam; Arunthamakun, Justin; Wille, Keith M; Shaukat, Tanveer; Singh, Harkarandeep; Admon,…
Read MoreFederated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach.
Link: https://doi.org/10.2196/24207 Authors: Vaid, Akhil; Jaladanki, Suraj K; Xu, Jie; Teng, Shelly; Kumar, Arvind; Lee, Samuel; Somani, Sulaiman; Paranjpe, Ishan; De Freitas, Jessica K; Wanyan, Tingyi; Johnson, Kipp W; Bicak, Mesude; Klang, Eyal; Kwon, Young Joon; Costa, Anthony; Zhao, Shan; Miotto, Riccardo; Charney, Alexander W; Böttinger, Erwin; Fayad, Zahi A; Nadkarni, Girish N; Wang, Fei;…
Read MoreThrombosis, Bleeding, and the Observational Effect of Early Therapeutic Anticoagulation on Survival in Critically Ill Patients With COVID-19.
Link: https://doi.org/10.7326/M20-6739 Authors: Al-Samkari, Hanny; Gupta, Shruti; Leaf, Rebecca Karp; Wang, Wei; Rosovsky, Rachel P; Brenner, Samantha K; Hayek, Salim S; Berlin, Hanna; Kapoor, Rajat; Shaefi, Shahzad; Melamed, Michal L; Sutherland, Anne; Radbel, Jared; Green, Adam; Garibaldi, Brian T; Srivastava, Anand; Leonberg-Yoo, Amanda; Shehata, Alexandre M; Flythe, Jennifer E; Rashidi, Arash; Goyal, Nitender; Chan, Lili;…
Read MoreContrastive Learning Improves Critical Event Prediction in COVID-19 Patients.
Link: https://doi.org/arXiv:2101.04013v1 Authors: Wanyan, Tingyi; Honarvar, Hossein; Jaladanki, Suraj K; Zang, Chengxi; Naik, Nidhi; Somani, Sulaiman; Freitas, Jessica K De; Paranjpe, Ishan; Vaid, Akhil; Miotto, Riccardo; Nadkarni, Girish N; Zitnik, Marinka; ArifulAzad, ; Wang, Fei; Ding, Ying; Glicksberg, Benjamin S Abstract: Machine Learning (ML) models typically require large-scale, balanced training data to be robust, generalizable,…
Read MoreHyperglycemia is Associated With Increased Mortality in Critically Ill Patients With COVID-19.
Link: https://doi.org/S1530-891X(21)00005-7 Authors: Mazori, Alon Y; Bass, Ilana Ramer; Chan, Lili; Mathews, Kusum S; Altman, Deena R; Saha, Aparna; Soh, Howard; Wen, Huei Hsun; Bose, Sonali; Leven, Emily; Wang, Jing Gennie; Mosoyan, Gohar; Pattharanitima, Pattharawin; Greco, Giampaolo; Gallagher, Emily J Abstract: To explore the relationship between hyperglycemia in the presence and absence of diabetes mellitus…
Read MoreRelational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care Unit.
Link: https://doi.org/10.1109/tbdata.2020.3048644 Authors: Wanyan, Tingyi; Vaid, Akhil; De Freitas, Jessica K; Somani, Sulaiman; Miotto, Riccardo; Nadkarni, Girish N; Azad, Ariful; Ding, Ying; Glicksberg, Benjamin S Abstract: Traditional Machine Learning (ML) models have had limited success in predicting Coronoavirus-19 (COVID-19) outcomes using Electronic Health Record (EHR) data partially due to not effectively capturing the inter-connectivity patterns…
Read MoreSex differences in viral entry protein expression and host transcript responses to SARS-CoV-2.
Link: https://doi.org/rs.3.rs-100914 Authors: Sun, Mengying; Shankar, Rama; Ko, Meehyun; Chang, Christopher Daniel; Yeh, Shan-Ju; Li, Shilong; Liu, Ke; Zhou, Guoli; Xing, Jing; VanVelsen, Austin; VanVelsen, Tyler; Paithankar, Shreya; Feng, Benjamin Y; Young, Krista; Strug, Michael; Turco, Lauren; Wang, Zichen; Schadt, Eric; Chen, Rong; Li, Xiaohong; Oskotsky, Tomiko; Sirota, Marina; Glicksberg, Benjamin S; Nadkarni, Girish N;…
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