Optimal Acute Kidney Injury Algorithm for Detecting Acute Kidney Injury at Emergency Department Presentation

Michael R. Ehmann; Jeremiah S. Hinson; Steven Menez; Aria Smith; Eili Y. Klein; Scott Levin

doi:10.1016/j.xkme.2022.100588

Optimal Acute Kidney Injury Algorithm for Detecting Acute Kidney Injury at Emergency Department Presentation

Michael R. Ehmann, Jeremiah S. Hinson, Steven Menez, Aria Smith, Eili Y. Klein, Scott Levin

School of Medicine

Research output: Contribution to journal › Article › peer-review

Original language	English (US)
Article number	100588
Journal	Kidney Medicine
Volume	5
Issue number	2
DOIs	https://doi.org/10.1016/j.xkme.2022.100588
State	Published - Feb 2023

ASJC Scopus subject areas

Nephrology
Internal Medicine

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10.1016/j.xkme.2022.100588

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@article{2a815dca0c59464f8a86b96070d84711,

title = "Optimal Acute Kidney Injury Algorithm for Detecting Acute Kidney Injury at Emergency Department Presentation",

author = "Ehmann, {Michael R.} and Hinson, {Jeremiah S.} and Steven Menez and Aria Smith and Klein, {Eili Y.} and Scott Levin",

note = "Funding Information: Research idea and study design: MRE, JSH, SL; data acquisition: AS, EYK, SL; data analysis/interpretation: MRE, JSH, SM, AS, SL; statistical analysis: SL; supervision or mentorship: JSH, SL. Each author contributed important intellectual content during manuscript drafting or revision and accepts accountability for the overall work by ensuring that questions pertaining to the accuracy or integrity of any portion of the work are appropriately investigated and resolved. This work was funded in part by grants from the Agency for Healthcare Research and Quality (AHRQ R01 HS027793 and R18 HS02664002) to Dr Hinson and Dr Levin. The funders of this study had no role in study design; collection, analysis, and interpretation of data; writing the report; nor the decision to submit the report for publication. The authors declare that they have no relevant financial interests. The content is solely the responsibility of the authors and does not necessarily represent the official views of Johns Hopkins nor the AHRQ. Received June 14, 2022. Evaluated by 2 external peer reviewers, with direct editorial input from the Statistical Editor and the Editor-in-Chief. Accepted in revised form October 23, 2022. Funding Information: This work was funded in part by grants from the Agency for Healthcare Research and Quality (AHRQ R01 HS027793 and R18 HS02664002) to Dr Hinson and Dr Levin. The funders of this study had no role in study design; collection, analysis, and interpretation of data; writing the report; nor the decision to submit the report for publication. ",

year = "2023",

month = feb,

doi = "10.1016/j.xkme.2022.100588",

language = "English (US)",

volume = "5",

journal = "Kidney Medicine",

issn = "2590-0595",

publisher = "Elsevier Inc.",

number = "2",

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T1 - Optimal Acute Kidney Injury Algorithm for Detecting Acute Kidney Injury at Emergency Department Presentation

AU - Ehmann, Michael R.

AU - Hinson, Jeremiah S.

AU - Menez, Steven

AU - Smith, Aria

AU - Klein, Eili Y.

AU - Levin, Scott

N1 - Funding Information: Research idea and study design: MRE, JSH, SL; data acquisition: AS, EYK, SL; data analysis/interpretation: MRE, JSH, SM, AS, SL; statistical analysis: SL; supervision or mentorship: JSH, SL. Each author contributed important intellectual content during manuscript drafting or revision and accepts accountability for the overall work by ensuring that questions pertaining to the accuracy or integrity of any portion of the work are appropriately investigated and resolved. This work was funded in part by grants from the Agency for Healthcare Research and Quality (AHRQ R01 HS027793 and R18 HS02664002) to Dr Hinson and Dr Levin. The funders of this study had no role in study design; collection, analysis, and interpretation of data; writing the report; nor the decision to submit the report for publication. The authors declare that they have no relevant financial interests. The content is solely the responsibility of the authors and does not necessarily represent the official views of Johns Hopkins nor the AHRQ. Received June 14, 2022. Evaluated by 2 external peer reviewers, with direct editorial input from the Statistical Editor and the Editor-in-Chief. Accepted in revised form October 23, 2022. Funding Information: This work was funded in part by grants from the Agency for Healthcare Research and Quality (AHRQ R01 HS027793 and R18 HS02664002) to Dr Hinson and Dr Levin. The funders of this study had no role in study design; collection, analysis, and interpretation of data; writing the report; nor the decision to submit the report for publication.

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JO - Kidney Medicine

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Optimal Acute Kidney Injury Algorithm for Detecting Acute Kidney Injury at Emergency Department Presentation

ASJC Scopus subject areas

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