Posts Tagged ‘Nephrology’
Development and Validation of a Formative Assessment Tool for Nephrology Fellows’ Clinical Reasoning.
Link: https://doi.org/10.2215/CJN.0000000000000315 Authors: Boyle, Suzanne M; Martindale, James; Parsons, Andrew S; Sozio, Stephen M; Hilburg, Rachel; Bahrainwala, Jehan; Chan, Lili; Stern, Lauren D; Warburton, Karen M Abstract: Diagnostic errors are commonly driven by failures in clinical reasoning. Deficits in clinical reasoning are common among graduate medical learners, including nephrology fellows. We created and validated an…
Read MoreA clustering approach to improve our understanding of the genetic and phenotypic complexity of chronic kidney disease.
Link: https://doi.org/10.21203/rs.3.rs-3424565/v1 Authors: Eoli, Andrea; Ibing, Susanne; Schurmann, Claudia; Nadkarni, Girish N; Heyne, Henrike; Böttinger, Erwin Abstract: Chronic kidney disease (CKD) is a complex disorder that causes a gradual loss of kidney function, affecting approximately 9.1% of the world’s population. Here, we use a soft-clustering algorithm to deconstruct its genetic heterogeneity. First, we selected 322…
Read MoreA clustering approach to improve our understanding of the genetic and phenotypic complexity of chronic kidney disease.
Link: https://doi.org/10.1101/2023.10.12.23296926 Authors: Eoli, A; Ibing, S; Schurmann, C; Nadkarni, G N; Heyne, H O; Böttinger, E Abstract: Chronic kidney disease (CKD) is a complex disorder that causes a gradual loss of kidney function, affecting approximately 9.1% of the world’s population. Here, we use a soft-clustering algorithm to deconstruct its genetic heterogeneity. First, we selected…
Read MoreImplications of the Use of Artificial Intelligence Predictive Models in Health Care Settings : A Simulation Study.
Link: https://doi.org/10.7326/M23-0949 Authors: Vaid, Akhil; Sawant, Ashwin; Suarez-Farinas, Mayte; Lee, Juhee; Kaul, Sanjeev; Kovatch, Patricia; Freeman, Robert; Jiang, Joy; Jayaraman, Pushkala; Fayad, Zahi; Argulian, Edgar; Lerakis, Stamatios; Charney, Alexander W; Wang, Fei; Levin, Matthew; Glicksberg, Benjamin; Narula, Jagat; Hofer, Ira; Singh, Karandeep; Nadkarni, Girish N Abstract: Substantial effort has been directed toward demonstrating uses of…
Read MoreDerivation and independent validation of kidneyintelX.dkd: A prognostic test for the assessment of diabetic kidney disease progression.
Link: https://doi.org/10.1111/dom.15273 Authors: Nadkarni, Girish N; Stapleton, Sharon; Takale, Dipti; Edwards, Katherine; Moran, Kara; Mosoyan, Gohar; Hansen, Michael K; Donovan, Michael J; Heerspink, Hiddo J L; Fleming, Fergus; Coca, Steven G Abstract: To develop and validate an updated version of KidneyIntelX (kidneyintelX.dkd) to stratify patients for risk of progression of diabetic kidney disease (DKD) stages…
Read MoreDigital 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 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 MoreProteomic characterization of acute kidney injury in patients hospitalized with SARS-CoV2 infection.
Link: https://doi.org/10.1038/s43856-023-00307-8 Authors: Paranjpe, Ishan; Jayaraman, Pushkala; Su, Chen-Yang; Zhou, Sirui; Chen, Steven; Thompson, Ryan; Del Valle, Diane Marie; Kenigsberg, Ephraim; Zhao, Shan; Jaladanki, Suraj; Chaudhary, Kumardeep; Ascolillo, Steven; Vaid, Akhil; Gonzalez-Kozlova, Edgar; Kauffman, Justin; Kumar, Arvind; Paranjpe, Manish; Hagan, Ross O; Kamat, Samir; Gulamali, Faris F; Xie, Hui; Harris, Joceyln; Patel, Manishkumar; Argueta, Kimberly;…
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 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,…
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