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Authors
Chua, Horng-Ruey https://orcid.org/0000-0003-1379-0585
Low, Sanmay
Murali, Tanusya Murali
Wong, Emmett Tsz-Yeung
He, Hai-Dong
Teo, Boon-Wee
Thian, Yee-Liang
Akalya, K.
Vathsala, Anantharaman
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Funding
Funding for this research was provided by:
National Kidney Foundation of Singapore (NKFRC2014/01/14)
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Article History
Received: 12 May 2020
Revised: 6 September 2020
Accepted: 14 October 2020
First Online: 7 November 2020
Compliance with ethical standards
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: The scientific guarantor of this publication is the first author, Dr. Horng-Ruey Chua.
: The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.
: No complex statistical methods were necessary for this paper.
: Written informed consent was waived by the Institutional Review Board.
: Institutional Review Board approval was obtained.
: Study subjects or cohorts have been previously reported in Low S, Vathsala A, Murali TM, et al Electronic health records accurately predict renal replacement therapy in acute kidney injury. BMC Nephrol 2019;20(1):32. Epub 2019/02/02. doi: .
: • Retrospective• Observational study• Performed at one institution
