Posts Tagged ‘Critical Care’
Hispanic ethnicity and mortality among critically ill patients with COVID-19.
Link: https://doi.org/10.1371/journal.pone.0268022 Authors: Ricardo, Ana C; Chen, Jinsong; Toth-Manikowski, Stephanie M; Meza, Natalie; Joo, Min; Gupta, Shruti; Lazarous, Deepa G; Leaf, David E; Lash, James P; , Abstract: Hispanic persons living in the United States (U.S.) are at higher risk of infection and death from coronavirus disease 2019 (COVID-19) compared with non-Hispanic persons. Whether this…
Read MoreArtificial intelligence-enabled decision support in nephrology.
Link: https://doi.org/10.1038/s41581-022-00562-3 Authors: Loftus, Tyler J; Shickel, Benjamin; Ozrazgat-Baslanti, Tezcan; Ren, Yuanfang; Glicksberg, Benjamin S; Cao, Jie; Singh, Karandeep; Chan, Lili; Nadkarni, Girish N; Bihorac, Azra Abstract: Kidney pathophysiology is often complex, nonlinear and heterogeneous, which limits the utility of hypothetical-deductive reasoning and linear, statistical approaches to diagnosis and treatment. Emerging evidence suggests that artificial…
Read MoreElectroencephalography at the height of a pandemic: EEG findings in patients with COVID-19.
Link: https://doi.org/S1388-2457(22)00190-0 Authors: Tantillo, Gabriela B; Jetté, Nathalie; Gururangan, Kapil; Agarwal, Parul; Marcuse, Lara; Singh, Anuradha; Goldstein, Jonathan; Kwon, Churl-Su; Dhamoon, Mandip S; Navis, Allison; Nadkarni, Girish N; Charney, Alexander W; Young, James J; Blank, Leah J; Fields, Madeline; Yoo, Ji Yeoun Abstract: To characterize continuous video electroencephalogram (VEEG) findings of hospitalized COVID-19 patients. We…
Read MoreEffects of Testing and Disclosing Ancestry-Specific Genetic Risk for Kidney Failure on Patients and Health Care Professionals: A Randomized Clinical Trial.
Link: https://doi.org/10.1001/jamanetworkopen.2022.1048 Authors: Nadkarni, Girish N; Fei, Kezhen; Ramos, Michelle A; Hauser, Diane; Bagiella, Emilia; Ellis, Stephen B; Sanderson, Saskia; Scott, Stuart A; Sabin, Tatiana; Madden, Ebony; Cooper, Richard; Pollak, Martin; Calman, Neil; Bottinger, Erwin P; Horowitz, Carol R Abstract: Risk variants in the apolipoprotein L1 (APOL1 [OMIM 603743]) gene on chromosome 22 are common…
Read MorePost-operative Morbidity and Mortality After Fontan Procedure in Patients with Heterotaxy and Other Situs Anomalies.
Link: https://doi.org/10.1007/s00246-021-02804-w Authors: Duong, Son Q; Zaniletti, Isabella; Lopez, Leo; Sutherland, Scott M; Shin, Andrew Y; Collins, R Thomas Abstract: Heterotaxy is a complex, multisystem disorder associated with single ventricle heart disease and decreased survival. Ciliary dysfunction is common in heterotaxy and other situs abnormalities (H/SA) and may increase post-operative complications. We hypothesized that patients…
Read MoreAssociation of Surge Conditions with Mortality Among Critically Ill Patients with COVID-19.
Link: https://doi.org/10.1177/08850666211067509 Authors: Keene, Adam B; Admon, Andrew J; Brenner, Samantha K; Gupta, Shruti; Lazarous, Deepa; Leaf, David E; Gershengorn, Hayley B; , Abstract: To determine whether surge conditions were associated with increased mortality. Multicenter cohort study. U.S. ICUs participating in STOP-COVID. Consecutive adults with COVID-19 admitted to participating ICUs between March 4 and July…
Read MoreIdentification of patients at risk of new onset heart failure: Utilizing a large statewide health information exchange to train and validate a risk prediction model.
Link: https://doi.org/10.1371/journal.pone.0260885 Authors: Duong, Son Q; Zheng, Le; Xia, Minjie; Jin, Bo; Liu, Modi; Li, Zhen; Hao, Shiying; Alfreds, Shaun T; Sylvester, Karl G; Widen, Eric; Teuteberg, Jeffery J; McElhinney, Doff B; Ling, Xuefeng B Abstract: New-onset heart failure (HF) is associated with poor prognosis and high healthcare utilization. Early identification of patients at increased…
Read MoreDeciphering intratumoral heterogeneity using integrated clonal tracking and single-cell transcriptome analyses.
Link: https://doi.org/10.1038/s41467-021-26771-1 Authors: Contreras-Trujillo, Humberto; Eerdeng, Jiya; Akre, Samir; Jiang, Du; Contreras, Jorge; Gala, Basia; Vergel-Rodriguez, Mary C; Lee, Yeachan; Jorapur, Aparna; Andreasian, Areen; Harton, Lisa; Bramlett, Charles S; Nogalska, Anna; Xiao, Gang; Lee, Jae-Woong; Chan, Lai N; Müschen, Markus; Merchant, Akil A; Lu, Rong Abstract: Cellular heterogeneity is a major cause of treatment resistance…
Read MoreContrastive learning improves critical event prediction in COVID-19 patients.
Link: https://doi.org/10.1016/j.patter.2021.100389 Authors: Wanyan, Tingyi; Honarvar, Hossein; Jaladanki, Suraj K; Zang, Chengxi; Naik, Nidhi; Somani, Sulaiman; De Freitas, Jessica K; Paranjpe, Ishan; Vaid, Akhil; Zhang, Jing; Miotto, Riccardo; Wang, Zhangyang; Nadkarni, Girish N; Zitnik, Marinka; Azad, Ariful; Wang, Fei; Ding, Ying; Glicksberg, Benjamin S Abstract: Deep learning (DL) models typically require large-scale, balanced training data…
Read MoreUsing Deep-Learning Algorithms to Simultaneously Identify Right and Left Ventricular Dysfunction From the Electrocardiogram.
Link: https://doi.org/S1936-878X(21)00627-6 Authors: Vaid, Akhil; Johnson, Kipp W; Badgeley, Marcus A; Somani, Sulaiman S; Bicak, Mesude; Landi, Isotta; Russak, Adam; Zhao, Shan; Levin, Matthew A; Freeman, Robert S; Charney, Alexander W; Kukar, Atul; Kim, Bette; Danilov, Tatyana; Lerakis, Stamatios; Argulian, Edgar; Narula, Jagat; Nadkarni, Girish N; Glicksberg, Benjamin S Abstract: This study sought to develop…
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