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Multivariate analysis of CT imaging, laboratory, and demographical features for prediction of acute kidney injury in COVID-19 patients: a Bi-centric analysis

Crossref DOI link: https://doi.org/10.1007/s00261-020-02823-w

Published Online: 2020-10-24

Published Print: 2021-04

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Hectors, Stefanie J. https://orcid.org/0000-0001-9457-6606
Riyahi, Sadjad

Dev, Hreedi

Krishnan, Karthik

Margolis, Daniel J. A.

Prince, Martin R.
Funding

Funding for this research was provided by:

Clinical and Translational Science Center (UL1 TR000457)
License Information

Text and Data Mining valid from 2020-10-24

Version of Record valid from 2020-10-24
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Article History

Received: 4 August 2020

Revised: 2 October 2020

Accepted: 10 October 2020

First Online: 24 October 2020

Compliance with ethical standards

:

: The requirement for informed consent was waived by the institutional review board.

: This study was approved by the institutional review board.

Free to read: This content has been made available to all.

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