Literature DB >> 33091901

Sub-Phenotypes of Acute Kidney Injury: Do We Have Progress for Personalizing Care?

Matthew R Thau1, Pavan K Bhatraju2,3.   

Abstract

Acute kidney injury (AKI) is the most common form of organ dysfunction occurring in patients admitted to the intensive care unit and contributes significantly to poor long-term outcomes. Despite this public health impact, no effective pharmacotherapy exists for AKI. One reason may be that heterogeneity is present within AKI as currently defined, thereby concealing unique pathophysiologic processes specific to certain AKI populations. Supporting this notion, we and others have shown that diversity within the AKI clinical syndrome exists, and the "one-size-fits-all" approach by current diagnostic guidelines may not be ideal. A "precision medicine" approach that exploits an individual's genetic, biologic, and clinical characteristics to identify AKI sub-phenotypes may overcome such limitations. Identification of AKI sub-phenotypes may address a critical unmet clinical need in AKI by (1) improving risk prognostication, (2) identifying novel pathophysiology, and (3) informing a patient's likelihood of responding to current therapeutics or establishing new therapeutic targets to prevent and treat AKI. This review discusses the current state of phenotyping AKI and future directions.
© 2020 S. Karger AG, Basel.

Entities:  

Keywords:  Acute renal injury; Angiogenesis; Biomarkers; Sub-phenotypes

Year:  2020        PMID: 33091901      PMCID: PMC7708595          DOI: 10.1159/000511321

Source DB:  PubMed          Journal:  Nephron        ISSN: 1660-8151            Impact factor:   2.847


  11 in total

1.  Recovery after Acute Kidney Injury.

Authors:  John A Kellum; Florentina E Sileanu; Azra Bihorac; Eric A J Hoste; Lakhmir S Chawla
Journal:  Am J Respir Crit Care Med       Date:  2017-03-15       Impact factor: 21.405

2.  Furosemide Stress Test and Biomarkers for the Prediction of AKI Severity.

Authors:  Jay L Koyner; Danielle L Davison; Ermira Brasha-Mitchell; Divya M Chalikonda; John M Arthur; Andrew D Shaw; James A Tumlin; Sharon A Trevino; Michael R Bennett; Paul L Kimmel; Michael G Seneff; Lakhmir S Chawla
Journal:  J Am Soc Nephrol       Date:  2015-02-05       Impact factor: 10.121

Review 3.  Biomarkers for the Early Detection and Prognosis of Acute Kidney Injury.

Authors:  Rakesh Malhotra; Edward D Siew
Journal:  Clin J Am Soc Nephrol       Date:  2016-11-08       Impact factor: 8.237

Review 4.  Phenotyping of Acute Kidney Injury: Beyond Serum Creatinine.

Authors:  Dennis G Moledina; Chirag R Parikh
Journal:  Semin Nephrol       Date:  2018-01       Impact factor: 5.299

Review 5.  Chronic kidney disease after acute kidney injury: a systematic review and meta-analysis.

Authors:  Steven G Coca; Swathi Singanamala; Chirag R Parikh
Journal:  Kidney Int       Date:  2011-11-23       Impact factor: 10.612

6.  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

7.  Unique Transcriptional Programs Identify Subtypes of AKI.

Authors:  Katherine Xu; Paul Rosenstiel; Neal Paragas; Christian Hinze; Xiaobo Gao; Tian Huai Shen; Max Werth; Catherine Forster; Rong Deng; Efrat Bruck; Roger W Boles; Alexandra Tornato; Tejashree Gopal; Madison Jones; Justin Konig; Jacob Stauber; Vivette D'Agati; Hediye Erdjument-Bromage; Subodh Saggi; Gebhard Wagener; Kai M Schmidt-Ott; Nicholas Tatonetti; Paul Tempst; Juan A Oliver; Paolo Guarnieri; Jonathan Barasch
Journal:  J Am Soc Nephrol       Date:  2016-12-27       Impact factor: 10.121

8.  Acute kidney injury subphenotypes based on creatinine trajectory identifies patients at increased risk of death.

Authors:  Pavan K Bhatraju; Paramita Mukherjee; Cassianne Robinson-Cohen; Grant E O'Keefe; Angela J Frank; Jason D Christie; Nuala J Meyer; Kathleen D Liu; Michael A Matthay; Carolyn S Calfee; David C Christiani; Jonathan Himmelfarb; Mark M Wurfel
Journal:  Crit Care       Date:  2016-11-17       Impact factor: 9.097

9.  Association Between Early Recovery of Kidney Function After Acute Kidney Injury and Long-term Clinical Outcomes.

Authors:  Pavan K Bhatraju; Leila R Zelnick; Vernon M Chinchilli; Dennis G Moledina; Steve G Coca; Chirag R Parikh; Amit X Garg; Chi-Yuan Hsu; Alan S Go; Kathleen D Liu; T Alp Ikizler; Edward D Siew; James S Kaufman; Paul L Kimmel; Jonathan Himmelfarb; Mark M Wurfel
Journal:  JAMA Netw Open       Date:  2020-04-01

10.  Two subphenotypes of septic acute kidney injury are associated with different 90-day mortality and renal recovery.

Authors:  Renske Wiersema; Sakari Jukarainen; Suvi T Vaara; Meri Poukkanen; Päivi Lakkisto; Hector Wong; Adam Linder; Iwan C C van der Horst; Ville Pettilä
Journal:  Crit Care       Date:  2020-04-15       Impact factor: 9.097

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  1 in total

Review 1.  Optimizing the Design and Analysis of Future AKI Trials.

Authors:  Matthieu Legrand; Sean M Bagshaw; Jay L Koyner; Ivonne H Schulman; Michael R Mathis; Juliane Bernholz; Steven Coca; Martin Gallagher; Stéphane Gaudry; Kathleen D Liu; Ravindra L Mehta; Romain Pirracchio; Abigail Ryan; Dominik Steubl; Norman Stockbridge; Fredrik Erlandsson; Alparslan Turan; F Perry Wilson; Alexander Zarbock; Michael P Bokoch; Jonathan D Casey; Patrick Rossignol; Michael O Harhay
Journal:  J Am Soc Nephrol       Date:  2022-07-13       Impact factor: 14.978

  1 in total

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