Posts Tagged ‘Nephrology’
Integrated multiomics implicates dysregulation of ECM and cell adhesion pathways as drivers of severe COVID-associated kidney injury.
Link: https://doi.org/10.1101/2024.03.18.24304401 Authors: Anandakrishnan, Nanditha; Yi, Zhengzi; Sun, Zeguo; Liu, Tong; Haydak, Jonathan; Eddy, Sean; Jayaraman, Pushkala; DeFronzo, Stefanie; Saha, Aparna; Sun, Qian; Yang, Dai; Mendoza, Anthony; Mosoyan, Gohar; Wen, Huei Hsun; Schaub, Jennifer A; Fu, Jia; Kehrer, Thomas; Menon, Rajasree; Otto, Edgar A; Godfrey, Bradley; Suarez-Farinas, Mayte; Leffters, Sean; Twumasi, Akosua; Meliambro, Kristin; Charney,…
Read MoreMachine learning models to predict end-stage kidney disease in chronic kidney disease stage 4.
Link: https://doi.org/10.1186/s12882-023-03424-7 Authors: Takkavatakarn, Kullaya; Oh, Wonsuk; Cheng, Ella; Nadkarni, Girish N; Chan, Lili Abstract: End-stage kidney disease (ESKD) is associated with increased morbidity and mortality. Identifying patients with stage 4 CKD (CKD4) at risk of rapid progression to ESKD remains challenging. Accurate prediction of CKD4 progression can improve patient outcomes by improving advanced care…
Read MorePost-operative urinary retention is impacted by neuromuscular block reversal agent choice: A retrospective cohort study in US hospital setting.
Link: https://doi.org/S0952-8180(23)00294-5 Authors: Bash, Lori D; Turzhitsky, Vladimir; Mark, Robert J; Hofer, Ira S; Weingarten, Toby N Abstract: Perioperative neuromuscular blocking agents are pharmacologically reversed to minimize complications associated with residual neuromuscular block. Neuromuscular block reversal with anticholinesterases (e.g., neostigmine) require coadministration of an anticholinergic agent (e.g., glycopyrrolate) to mitigate muscarinic activity; however, sugammadex, devoid…
Read MoreGenome-Wide Polygenic Risk Score for CKD in Individuals with APOL1 High-Risk Genotypes.
Link: https://doi.org/10.2215/CJN.0000000000000379 Authors: Vy, Ha My T; Coca, Steven G; Sawant, Ashwin; Sakhuja, Ankit; Gutierrez, Orlando M; Cooper, Richard; Loos, Ruth J F; Horowitz, Carol R; Do, Ron; Nadkarni, Girish N Abstract:
Read MorePeripheral Transcriptomics in Acute and Long-Term Kidney Dysfunction in SARS-CoV2 Infection.
Link: https://doi.org/10.1101/2023.10.25.23297469 Authors: Jayaraman, Pushkala; Rajagopal, Madhumitha; Paranjpe, Ishan; Liharska, Lora; Suarez-Farinas, Mayte; Thompson, Ryan; Del Valle, Diane Marie; Beckmann, Noam; Oh, Wonsuk; Gulamali, Faris F; Kauffman, Justin; Gonzalez-Kozlova, Edgar; Dellepiane, Sergio; Vasquez-Rios, George; Vaid, Akhil; Jiang, Joy; Chen, Annie; Sakhuja, Ankit; Chen, Steven; Kenigsberg, Ephraim; He, John Cijiang; Coca, Steven G; Chan, Lili; Schadt,…
Read MoreCirculating Metabolomic Associations with Neurocognitive Outcomes in Pediatric CKD.
Link: https://doi.org/10.2215/CJN.0000000000000318 Authors: Lee, Arthur M; Xu, Yunwen; Hooper, Stephen R; Abraham, Alison G; Hu, Jian; Xiao, Rui; Matheson, Matthew B; Brunson, Celina; Rhee, Eugene P; Coresh, Josef; Vasan, Ramachandran S; Schrauben, Sarah; Kimmel, Paul L; Warady, Bradley A; Furth, Susan L; Hartung, Erum A; Denburg, Michelle R; , Abstract: Children with CKD are at…
Read MoreDevelopment 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 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…
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