Literature DB >> 33034570

Not All Sepsis-Associated Acute Kidney Injury Is the Same: There May Be an App for That.

Samantha Gunning1, Jay L Koyner2.   

Abstract

Entities:  

Keywords:  acute kidney injury; artificial intelligence; electronic medical record; phenotypes; risk factors; sepsis

Year:  2020        PMID： 33034570      PMCID： PMC7646237          DOI： 10.2215/CJN.14860920

Source DB:  PubMed          Journal:  Clin J Am Soc Nephrol        ISSN： 1555-9041            Impact factor:   8.237


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  10 in total

1.  A prospective multi-center quality improvement initiative (NINJA) indicates a reduction in nephrotoxic acute kidney injury in hospitalized children.

Authors:  Stuart L Goldstein; Devesh Dahale; Eric S Kirkendall; Theresa Mottes; Heather Kaplan; Stephen Muething; David J Askenazi; Traci Henderson; Lynn Dill; Michael J G Somers; Jessica Kerr; Jennifer Gilarde; Joshua Zaritsky; Valerie Bica; Patrick D Brophy; Jason Misurac; Richard Hackbarth; Julia Steinke; Joann Mooney; Sara Ogrin; Vimal Chadha; Bradley Warady; Richard Ogden; Wendy Hoebing; Jordan Symons; Karyn Yonekawa; Shina Menon; Lisa Abrams; Scott Sutherland; Patricia Weng; Fang Zhang; Kathleen Walsh
Journal:  Kidney Int       Date:  2019-11-01       Impact factor: 10.612

2.  The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3).

Authors:  Mervyn Singer; Clifford S Deutschman; Christopher Warren Seymour; Manu Shankar-Hari; Djillali Annane; Michael Bauer; Rinaldo Bellomo; Gordon R Bernard; Jean-Daniel Chiche; Craig M Coopersmith; Richard S Hotchkiss; Mitchell M Levy; John C Marshall; Greg S Martin; Steven M Opal; Gordon D Rubenfeld; Tom van der Poll; Jean-Louis Vincent; Derek C Angus
Journal:  JAMA       Date:  2016-02-23       Impact factor: 56.272

3.  Artificial Intelligence in Nephrology: Core Concepts, Clinical Applications, and Perspectives.

Authors:  Olivier Niel; Paul Bastard
Journal:  Am J Kidney Dis       Date:  2019-08-23       Impact factor: 8.860

4.  Utilization of Deep Learning for Subphenotype Identification in Sepsis-Associated Acute Kidney Injury.

Authors:  Kumardeep Chaudhary; Akhil Vaid; Áine Duffy; Ishan Paranjpe; Suraj Jaladanki; Manish Paranjpe; Kipp Johnson; Avantee Gokhale; Pattharawin Pattharanitima; Kinsuk Chauhan; Ross O'Hagan; Tielman Van Vleck; Steven G Coca; Richard Cooper; Benjamin Glicksberg; Erwin P Bottinger; Lili Chan; Girish N Nadkarni
Journal:  Clin J Am Soc Nephrol       Date:  2020-10-08       Impact factor: 8.237

5.  Identification of Acute Kidney Injury Subphenotypes with Differing Molecular Signatures and Responses to Vasopressin Therapy.

Authors:  Pavan K Bhatraju; Leila R Zelnick; Jerald Herting; Ronit Katz; Carmen Mikacenic; Susanna Kosamo; Eric D Morrell; Cassianne Robinson-Cohen; Carolyn S Calfee; Jason D Christie; Kathleen D Liu; Michael A Matthay; William O Hahn; Victoria Dmyterko; Natalie S J Slivinski; Jim A Russell; Keith R Walley; David C Christiani; W Conrad Liles; Jonathan Himmelfarb; Mark M Wurfel
Journal:  Am J Respir Crit Care Med       Date:  2019-04-01       Impact factor: 21.405

6.  Real-Time Prediction of Acute Kidney Injury in Hospitalized Adults: Implementation and Proof of Concept.

Authors:  Ugochukwu Ugwuowo; Yu Yamamoto; Tanima Arora; Ishan Saran; Caitlin Partridge; Aditya Biswas; Melissa Martin; Dennis G Moledina; Jason H Greenberg; Michael Simonov; Sherry G Mansour; Ricardo Vela; Jeffrey M Testani; Veena Rao; Keith Rentfro; Wassim Obeid; Chirag R Parikh; F Perry Wilson
Journal:  Am J Kidney Dis       Date:  2020-06-04       Impact factor: 8.860

7.  Sepsis as a cause and consequence of acute kidney injury: Program to Improve Care in Acute Renal Disease.

Authors:  Ravindra L Mehta; Josée Bouchard; Sharon B Soroko; T Alp Ikizler; Emil P Paganini; Glenn M Chertow; Jonathan Himmelfarb
Journal:  Intensive Care Med       Date:  2010-12-09       Impact factor: 17.440

8.  A clinically applicable approach to continuous prediction of future acute kidney injury.

Authors:  Trevor Back; Christopher Nielson; Joseph R Ledsam; Shakir Mohamed; Nenad Tomašev; Xavier Glorot; Jack W Rae; Michal Zielinski; Harry Askham; Andre Saraiva; Anne Mottram; Clemens Meyer; Suman Ravuri; Ivan Protsyuk; Alistair Connell; Cían O Hughes; Alan Karthikesalingam; Julien Cornebise; Hugh Montgomery; Geraint Rees; Chris Laing; Clifton R Baker; Kelly Peterson; Ruth Reeves; Demis Hassabis; Dominic King; Mustafa Suleyman
Journal:  Nature       Date:  2019-07-31       Impact factor: 49.962

9.  Genetic variation implicates plasma angiopoietin-2 in the development of acute kidney injury sub-phenotypes.

Authors:  Pavan K Bhatraju; Max Cohen; Ryan J Nagao; Eric D Morrell; Susanna Kosamo; Xin-Ya Chai; Robin Nance; Victoria Dmyterko; Joseph Delaney; Jason D Christie; Kathleen D Liu; Carmen Mikacenic; Sina A Gharib; W Conrad Liles; Ying Zheng; David C Christiani; Jonathan Himmelfarb; Mark M Wurfel
Journal:  BMC Nephrol       Date:  2020-07-17       Impact factor: 2.585

10.  Internal and External Validation of a Machine Learning Risk Score for Acute Kidney Injury.

Authors:  Matthew M Churpek; Kyle A Carey; Dana P Edelson; Tripti Singh; Brad C Astor; Emily R Gilbert; Christopher Winslow; Nirav Shah; Majid Afshar; Jay L Koyner
Journal:  JAMA Netw Open       Date:  2020-08-03
  10 in total
  1 in total

Review 1.  Artificial Intelligence for Clinical Decision Support in Sepsis.

Authors:  Miao Wu; Xianjin Du; Raymond Gu; Jie Wei
Journal:  Front Med (Lausanne)       Date:  2021-05-13
  1 in total

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