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A clinical model to predict successful renal replacement therapy (RRT) discontinuation in patients with Acute Kidney Injury (AKI)

Crossref DOI link: https://doi.org/10.1016/j.clinsp.2023.100280

Published Print: 2023-01

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Valle, Eduardo de Oliveira http://orcid.org/0000-0002-9436-9743
Smolentzov, Igor http://orcid.org/0000-0001-6286-2560
Gorzoni, João Lucas Martins http://orcid.org/0009-0002-2335-7160
Salgado, Isabela Cavalcante http://orcid.org/0009-0004-9794-4194
Mainardes, Lorena Catelan http://orcid.org/0000-0002-2685-5299
Gomes, Vanessa Oliveira http://orcid.org/0009-0009-3897-447X
Júnior, Charles Hamilton Mélo http://orcid.org/0009-0004-1592-7324
Rodrigues, Camila Eleuterio http://orcid.org/0000-0003-0562-0893
Júnior, José Mauro Vieira http://orcid.org/0000-0002-1944-6980
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Text and Data Mining valid from 2023-01-01

Text and Data Mining valid from 2023-01-01

Version of Record valid from 2023-08-25
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This article is maintained by: Elsevier

Article Title: A clinical model to predict successful renal replacement therapy (RRT) discontinuation in patients with Acute Kidney Injury (AKI)

Journal Title: Clinics

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.clinsp.2023.100280

Content Type: article

Copyright: © 2023 HCFMUSP. Published by Elsevier España, S.L.U.