Posts Tagged ‘Nephrology’
Joint Modeling of Clinical and Biomarker Data in Acute Kidney Injury Defines Unique Subphenotypes with Differing Outcomes.
Link: https://doi.org/10.2215/CJN.0000000000000156 Authors: Vasquez-Rios, George; Oh, Wonsuk; Lee, Samuel; Bhatraju, Pavan; Mansour, Sherry G; Moledina, Dennis G; Gulamali, Faris F; Siew, Edward D; Garg, Amit X; Sarder, Pinaki; Chinchilli, Vernon M; Kaufman, James S; Hsu, Chi-Yuan; Liu, Kathleen D; Kimmel, Paul L; Go, Alan S; Wurfel, Mark M; Himmelfarb, Jonathan; Parikh, Chirag R; Coca, Steven…
Read MoreProteomic Characterization of Acute Kidney Injury in Patients Hospitalized with SARS-CoV2 Infection.
Link: https://doi.org/10.21203/rs.3.rs-2379226/v1 Authors: Nadkami, Girish; Paranjpe, Ishan; Jayaraman, Pushkala; Su, Chen-Yang; Zhou, Sirui; Chen, Steven; Valle, Diane Del; Thompson, Ryan; Kenigsberg, Ephraim; Zhao, Shan; Jaladanki, Suraj; Chaudhary, Kumardeep; Ascolillo, Steven; Vaid, Akhil; Gonzalez-Kozlova, Edgar; Kumar, Arvind; Paranjpe, Manish; O’Hagan, Ross; Kamat, Samir; Gulamali, Faris; Kauffman, Justin; Xie, Hui; Harris, Joceyln; Patel, Manishkumar; Argueta, Kimberly; Batchelor,…
Read MorePotential kidney toxicity from the antiviral drug tenofovir: new indications, new formulations, and a new prodrug.
Link: https://doi.org/10.1097/MNH.0000000000000392 Authors: Chan, Lili; Asriel, Benjamin; Eaton, Ellen F; Wyatt, Christina M Abstract: The antiviral agent tenofovir is highly effective for the treatment of HIV and hepatitis B virus infections, and the older prodrug tenofovir disoproxil fumarate (TDF) is also a component of daily preexposure prophylaxis (PrEP) to reduce the risk of HIV infection…
Read MoreAssociation between intradialytic central venous oxygen saturation and ultrafiltration volume in chronic hemodialysis patients.
Link: https://doi.org/10.1093/ndt/gfx271 Authors: Zhang, Hanjie; Chan, Lili; Meyring-Wösten, Anna; Campos, Israel; Preciado, Priscila; Kooman, Jeroen P; van der Sande, Frank M; Fuertinger, Doris; Thijssen, Stephan; Kotanko, Peter Abstract: Cardiac disease is highly prevalent in hemodialysis (HD) patients. Decreased tissue perfusion, including cardiac, due to high ultrafiltration volumes (UFVs) is considered to be one of the…
Read MoreEstimated 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,…
Read MoreAdvances in Chronic Kidney Disease Lead Editorial Outlining the Future of Artificial Intelligence/Machine Learning in Nephrology.
Link: https://doi.org/S2949-8139(22)00009-X Authors: Kotanko, Peter; Nadkarni, Girish N Abstract:
Read MoreMajor 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,…
Read MoreContinuous Kidney Replacement Therapy of the Future: Innovations in Information Technology, Data Analytics, and Quality Assurance Systems.
Link: https://doi.org/S1548-5595(21)00031-8 Authors: Neyra, Javier A; Nadkarni, Girish N Abstract: Continuous kidney replacement therapy is commonly used in the critically ill population. Despite the recent development in continuous kidney replacement therapy technology and clinical informatics, many aspects of continuous kidney replacement therapy delivery are still not fully standardized, and quality assurance programs for the provision…
Read MoreApplications of machine learning methods in kidney disease: hope or hype?
Link: https://doi.org/10.1097/MNH.0000000000000604 Authors: Chan, Lili; Vaid, Akhil; Nadkarni, Girish N Abstract: The universal adoption of electronic health records, improvement in technology, and the availability of continuous monitoring has generated large quantities of healthcare data. Machine learning is increasingly adopted by nephrology researchers to analyze this data in order to improve the care of their patients.…
Read MoreNatural Language Processing in Nephrology.
Link: https://doi.org/S1548-5595(22)00128-8 Authors: Van Vleck, Tielman T; Farrell, Douglas; Chan, Lili Abstract: Unstructured data in the electronic health records contain essential patient information. Natural language processing (NLP), teaching a computer to read, allows us to tap into these data without needing the time and effort of manual chart abstraction. The core first step for all…
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