Literature DB >> 27234478

Identification of Major Adverse Kidney Events Within the Electronic Health Record.

Matthew W Semler1, Todd W Rice2, Andrew D Shaw3, Edward D Siew4, Wesley H Self5, Avinash B Kumar3, Daniel W Byrne6, Jesse M Ehrenfeld3,7, Jonathan P Wanderer3,7.   

Abstract

Acute kidney injury is common among critically ill adults and is associated with increased mortality and morbidity. The Major Adverse Kidney Events by 30 days (MAKE30) composite of death, new renal replacement therapy, or persistent renal dysfunction is recommended as a patient-centered outcome for pragmatic trials involving acute kidney injury. Accurate electronic detection of the MAKE30 endpoint using data within the electronic health record (EHR) could facilitate the use of the EHR in large-scale kidney injury research. In an observational study using prospectively collected data from 200 admissions to a single medical intensive care unit, we tested the performance of electronically-extracted data in identifying the MAKE30 composite compared to the reference standard of two-physician manual chart review. The incidence of MAKE30 on manual-review was 16 %, which included 8.5 % for in-hospital mortality, 3.5 % for new renal replacement therapy, and 8.5 % for persistent renal dysfunction. There was strong agreement between the electronic and manual assessment of MAKE30 (98.5 % agreement [95 % CI 96.5-100.0 %]; kappa 0.95 [95 % CI 0.87-1.00]; P < 0.001), with only three patients misclassified by electronic assessment. Performance of the electronic MAKE30 assessment was similar among patients with and without CKD and with and without a measured serum creatinine in the 12 months prior to hospital admission. In summary, accurately identifying the MAKE30 composite outcome using EHR data collected as a part of routine care appears feasible.

Entities:  

Keywords:  Acute kidney injury; Electronic health record; Intensive care unit; Major adverse kidney events

Mesh:

Substances:

Year:  2016        PMID: 27234478      PMCID: PMC5791539          DOI: 10.1007/s10916-016-0528-z

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  31 in total

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Journal:  Lancet       Date:  2015-02-26       Impact factor: 79.321

2.  Impact of real-time electronic alerting of acute kidney injury on therapeutic intervention and progression of RIFLE class.

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Journal:  Crit Care Med       Date:  2012-04       Impact factor: 7.598

3.  A comparison of three methods to estimate baseline creatinine for RIFLE classification.

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Journal:  Nephrol Dial Transplant       Date:  2010-01-25       Impact factor: 5.992

4.  Performance and limitations of administrative data in the identification of AKI.

Authors:  Morgan E Grams; Sushrut S Waikar; Blaithin MacMahon; Seamus Whelton; Shoshana H Ballew; Josef Coresh
Journal:  Clin J Am Soc Nephrol       Date:  2014-01-23       Impact factor: 8.237

5.  A simple electronic alert for acute kidney injury.

Authors:  N Flynn; A Dawnay
Journal:  Ann Clin Biochem       Date:  2014-04-24       Impact factor: 2.057

6.  Development and validation of electronic surveillance tool for acute kidney injury: A retrospective analysis.

Authors:  Adil Ahmed; Srinivasan Vairavan; Abbasali Akhoundi; Gregory Wilson; Caitlyn Chiofolo; Nicolas Chbat; Rodrigo Cartin-Ceba; Guangxi Li; Kianoush Kashani
Journal:  J Crit Care       Date:  2015-05-19       Impact factor: 3.425

Review 7.  Developing a consensus classification system for acute renal failure.

Authors:  John A Kellum; Nathan Levin; Catherine Bouman; Norbert Lameire
Journal:  Curr Opin Crit Care       Date:  2002-12       Impact factor: 3.687

Review 8.  Optimizing administrative datasets to examine acute kidney injury in the era of big data: workgroup statement from the 15(th) ADQI Consensus Conference.

Authors:  Edward D Siew; Rajit K Basu; Hannah Wunsch; Andrew D Shaw; Stuart L Goldstein; Claudio Ronco; John A Kellum; Sean M Bagshaw
Journal:  Can J Kidney Health Dis       Date:  2016-02-26

Review 9.  Applications for detection of acute kidney injury using electronic medical records and clinical information systems: workgroup statements from the 15(th) ADQI Consensus Conference.

Authors:  Matthew T James; Charles E Hobson; Michael Darmon; Sumit Mohan; Darren Hudson; Stuart L Goldstein; Claudio Ronco; John A Kellum; Sean M Bagshaw
Journal:  Can J Kidney Health Dis       Date:  2016-02-26

10.  Discovery and validation of cell cycle arrest biomarkers in human acute kidney injury.

Authors:  Kianoush Kashani; Ali Al-Khafaji; Thomas Ardiles; Antonio Artigas; Sean M Bagshaw; Max Bell; Azra Bihorac; Robert Birkhahn; Cynthia M Cely; Lakhmir S Chawla; Danielle L Davison; Thorsten Feldkamp; Lui G Forni; Michelle Ng Gong; Kyle J Gunnerson; Michael Haase; James Hackett; Patrick M Honore; Eric A J Hoste; Olivier Joannes-Boyau; Michael Joannidis; Patrick Kim; Jay L Koyner; Daniel T Laskowitz; Matthew E Lissauer; Gernot Marx; Peter A McCullough; Scott Mullaney; Marlies Ostermann; Thomas Rimmelé; Nathan I Shapiro; Andrew D Shaw; Jing Shi; Amy M Sprague; Jean-Louis Vincent; Christophe Vinsonneau; Ludwig Wagner; Michael G Walker; R Gentry Wilkerson; Kai Zacharowski; John A Kellum
Journal:  Crit Care       Date:  2013-02-06       Impact factor: 9.097

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  20 in total

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Authors:  Matthew W Semler; Jonathan P Wanderer; Jesse M Ehrenfeld; Joanna L Stollings; Wesley H Self; Edward D Siew; Li Wang; Daniel W Byrne; Andrew D Shaw; Gordon R Bernard; Todd W Rice
Journal:  Am J Respir Crit Care Med       Date:  2017-05-15       Impact factor: 21.405

Review 2.  Perioperative Information Systems: Opportunities to Improve Delivery of Care and Clinical Outcomes in Cardiac and Vascular Surgery.

Authors:  Robert E Freundlich; Jesse M Ehrenfeld
Journal:  J Cardiothorac Vasc Anesth       Date:  2017-11-04       Impact factor: 2.628

3.  Major Adverse Kidney Events in Pediatric Sepsis.

Authors:  Scott L Weiss; Fran Balamuth; Cary W Thurm; Kevin J Downes; Julie C Fitzgerald; Benjamin L Laskin
Journal:  Clin J Am Soc Nephrol       Date:  2019-04-18       Impact factor: 8.237

4.  Plasma Free Thiol Levels during Early Sepsis Predict Future Renal Function Decline.

Authors:  Elisabeth C van der Slikke; Lisanne Boekhoud; Arno R Bourgonje; Tycho J Olgers; Jan C Ter Maaten; Robert H Henning; Harry van Goor; Hjalmar R Bouma
Journal:  Antioxidants (Basel)       Date:  2022-04-19

5.  Predicting Major Adverse Kidney Events among Critically Ill Adults Using the Electronic Health Record.

Authors:  Andrew C McKown; Li Wang; Jonathan P Wanderer; Jesse Ehrenfeld; Todd W Rice; Gordon R Bernard; Matthew W Semler
Journal:  J Med Syst       Date:  2017-08-31       Impact factor: 4.460

6.  Balanced Crystalloids versus Saline in Critically Ill Adults.

Authors:  Matthew W Semler; Wesley H Self; Todd W Rice
Journal:  N Engl J Med       Date:  2018-05-17       Impact factor: 91.245

7.  Balanced Crystalloids versus Saline in Critically Ill Adults.

Authors:  Matthew W Semler; Wesley H Self; Jonathan P Wanderer; Jesse M Ehrenfeld; Li Wang; Daniel W Byrne; Joanna L Stollings; Avinash B Kumar; Christopher G Hughes; Antonio Hernandez; Oscar D Guillamondegui; Addison K May; Liza Weavind; Jonathan D Casey; Edward D Siew; Andrew D Shaw; Gordon R Bernard; Todd W Rice
Journal:  N Engl J Med       Date:  2018-02-27       Impact factor: 91.245

8.  Balanced Crystalloids versus Saline in Noncritically Ill Adults.

Authors:  Wesley H Self; Matthew W Semler; Jonathan P Wanderer; Li Wang; Daniel W Byrne; Sean P Collins; Corey M Slovis; Christopher J Lindsell; Jesse M Ehrenfeld; Edward D Siew; Andrew D Shaw; Gordon R Bernard; Todd W Rice
Journal:  N Engl J Med       Date:  2018-02-27       Impact factor: 91.245

9.  Balanced Crystalloids versus Saline in Sepsis. A Secondary Analysis of the SMART Clinical Trial.

Authors:  Ryan M Brown; Li Wang; Taylor D Coston; Nathan I Krishnan; Jonathan D Casey; Jonathan P Wanderer; Jesse M Ehrenfeld; Daniel W Byrne; Joanna L Stollings; Edward D Siew; Gordon R Bernard; Wesley H Self; Todd W Rice; Matthew W Semler
Journal:  Am J Respir Crit Care Med       Date:  2019-12-15       Impact factor: 21.405

10.  Acute kidney disease in hospitalized acute kidney injury patients.

Authors:  Ping Yan; Xiang-Jie Duan; Yu Liu; Xi Wu; Ning-Ya Zhang; Fang Yuan; Hao Tang; Qian Liu; Ying-Hao Deng; Hong-Shen Wang; Mei Wang; Shao-Bin Duan
Journal:  PeerJ       Date:  2021-05-24       Impact factor: 2.984

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