Literature DB >> 30082060

Personalized Anemia Management and Precision Medicine in ESA and Iron Pharmacology in End-Stage Kidney Disease.

Michael E Brier1, Adam E Gaweda2, George R Aronoff3.   

Abstract

Substantial progress has been made in the application of computer-driven methods to provide erythropoietic dosing information for patients with anemia resulting from chronic kidney disease. Initial solutions were simply computerized versions of traditional paper-based anemia management protocols. True personalization was achieved through the use of advanced modeling techniques such as artificial neural networks, physiologic models, and feedback control systems. The superiority of any one technique over another has not been determined, but all methods have shown an advantage in at least one area over the traditional paper expert system used by most dialysis facilities. Improvements in the percentage of hemoglobin measurements within target range, decreased within-subject hemoglobin variability, decreased erythropoiesis-stimulating agent dose, and decreased transfusion rates all have been shown.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Precision medicine; anemia; artificial neural network; computational intelligence; hemoglobin

Mesh:

Substances:

Year:  2018        PMID: 30082060     DOI: 10.1016/j.semnephrol.2018.05.010

Source DB:  PubMed          Journal:  Semin Nephrol        ISSN: 0270-9295            Impact factor:   5.299


  5 in total

Review 1.  Artificial intelligence and machine learning in nephropathology.

Authors:  Jan U Becker; David Mayerich; Meghana Padmanabhan; Jonathan Barratt; Angela Ernst; Peter Boor; Pietro A Cicalese; Chandra Mohan; Hien V Nguyen; Badrinath Roysam
Journal:  Kidney Int       Date:  2020-04-01       Impact factor: 10.612

Review 2.  Using Artificial Intelligence Resources in Dialysis and Kidney Transplant Patients: A Literature Review.

Authors:  Alexandru Burlacu; Adrian Iftene; Daniel Jugrin; Iolanda Valentina Popa; Paula Madalina Lupu; Cristiana Vlad; Adrian Covic
Journal:  Biomed Res Int       Date:  2020-06-10       Impact factor: 3.411

3.  Dynamics of Erythroferrone Response to Erythropoietin in Rats.

Authors:  Peng Xu; Raymond S M Wong; Wojciech Krzyzanski; Xiaoyu Yan
Journal:  Front Pharmacol       Date:  2022-04-20       Impact factor: 5.988

Review 4.  Role of Artificial Intelligence in Kidney Disease.

Authors:  Qiongjing Yuan; Haixia Zhang; Tianci Deng; Shumei Tang; Xiangning Yuan; Wenbin Tang; Yanyun Xie; Huipeng Ge; Xiufen Wang; Qiaoling Zhou; Xiangcheng Xiao
Journal:  Int J Med Sci       Date:  2020-04-06       Impact factor: 3.738

Review 5.  Artificial intelligence enabled applications in kidney disease.

Authors:  Sheetal Chaudhuri; Andrew Long; Hanjie Zhang; Caitlin Monaghan; John W Larkin; Peter Kotanko; Shashi Kalaskar; Jeroen P Kooman; Frank M van der Sande; Franklin W Maddux; Len A Usvyat
Journal:  Semin Dial       Date:  2020-09-13       Impact factor: 3.455

  5 in total

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