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Kinetic estimated glomerular filtration rate in critically ill patients: beyond the acute kidney injury severity classification system

BACKGROUND: Although significant advances have been achieved in acute kidney injury (AKI) research following its classification, potential pitfalls can be identified in clinical practice. The nonsteady-state (kinetic) estimated glomerular filtration rate (KeGFR) could add clinical and prognostic inf...

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Autores principales: de Oliveira Marques, Flávio, Oliveira, Saulo Aires, de Lima e Souza, Priscila Ferreira, Nojoza, Wandervânia Gomes, da Silva Sena, Maiara, Ferreira, Taynara Muniz, Costa, Bruno Gabriele, Libório, Alexandre Braga
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5694169/
https://www.ncbi.nlm.nih.gov/pubmed/29149864
http://dx.doi.org/10.1186/s13054-017-1873-0
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author de Oliveira Marques, Flávio
Oliveira, Saulo Aires
de Lima e Souza, Priscila Ferreira
Nojoza, Wandervânia Gomes
da Silva Sena, Maiara
Ferreira, Taynara Muniz
Costa, Bruno Gabriele
Libório, Alexandre Braga
author_facet de Oliveira Marques, Flávio
Oliveira, Saulo Aires
de Lima e Souza, Priscila Ferreira
Nojoza, Wandervânia Gomes
da Silva Sena, Maiara
Ferreira, Taynara Muniz
Costa, Bruno Gabriele
Libório, Alexandre Braga
author_sort de Oliveira Marques, Flávio
collection PubMed
description BACKGROUND: Although significant advances have been achieved in acute kidney injury (AKI) research following its classification, potential pitfalls can be identified in clinical practice. The nonsteady-state (kinetic) estimated glomerular filtration rate (KeGFR) could add clinical and prognostic information in critically ill patients beyond the current AKI classification system. METHODS: This was a retrospective analysis using data from the Multiparameter Intelligent Monitoring in Intensive Care II project. The KeGFR was calculated during the first 7 days of intensive care unit (ICU) stay in 13,284 patients and was correlated with outcomes. RESULTS: In general, there was not a good agreement between AKI severity and the worst achieved KeGFR. The stepwise reduction in the worst achieved KeGFR conferred an incremental risk of death, rising from 7.0% (KeGFR > 70 ml/min/1.73 m(2)) to 27.8% (KeGFR < 30 ml/min/1.73 m(2)). This stepwise increment in mortality remained in each AKI severity stage. For example, patients with AKI stage 3 who maintained KeGFR had a mortality rate of 16.5%, close to those patients with KeGFR < 30 ml/min/1.73 m(2) but no AKI; otherwise, mortality increased to 40% when both AKI stage 3 and KeGFR < 30 ml/min/1.73 m(2) were present. In relation to another outcome—renal replacement therapy (RRT)—patients with the worst achieved KeGFR < 30 ml/min/1.73 m(2) and KDIGO stage 1/2 had a rate of RRT of less than 10%. However, this rate was 44% when both AKI stage 3 and a worst KeGFR < 30 ml/min/1.73 m(2) were observed. This interaction between AKI and KeGFR was also present when looking at long-term survival. CONCLUSION: Both the AKI classification system and KeGFR are complementary to each other. Assessing both AKI stage and KeGFR can help to identify patients at different risk levels in clinical practice. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13054-017-1873-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-56941692017-11-27 Kinetic estimated glomerular filtration rate in critically ill patients: beyond the acute kidney injury severity classification system de Oliveira Marques, Flávio Oliveira, Saulo Aires de Lima e Souza, Priscila Ferreira Nojoza, Wandervânia Gomes da Silva Sena, Maiara Ferreira, Taynara Muniz Costa, Bruno Gabriele Libório, Alexandre Braga Crit Care Research BACKGROUND: Although significant advances have been achieved in acute kidney injury (AKI) research following its classification, potential pitfalls can be identified in clinical practice. The nonsteady-state (kinetic) estimated glomerular filtration rate (KeGFR) could add clinical and prognostic information in critically ill patients beyond the current AKI classification system. METHODS: This was a retrospective analysis using data from the Multiparameter Intelligent Monitoring in Intensive Care II project. The KeGFR was calculated during the first 7 days of intensive care unit (ICU) stay in 13,284 patients and was correlated with outcomes. RESULTS: In general, there was not a good agreement between AKI severity and the worst achieved KeGFR. The stepwise reduction in the worst achieved KeGFR conferred an incremental risk of death, rising from 7.0% (KeGFR > 70 ml/min/1.73 m(2)) to 27.8% (KeGFR < 30 ml/min/1.73 m(2)). This stepwise increment in mortality remained in each AKI severity stage. For example, patients with AKI stage 3 who maintained KeGFR had a mortality rate of 16.5%, close to those patients with KeGFR < 30 ml/min/1.73 m(2) but no AKI; otherwise, mortality increased to 40% when both AKI stage 3 and KeGFR < 30 ml/min/1.73 m(2) were present. In relation to another outcome—renal replacement therapy (RRT)—patients with the worst achieved KeGFR < 30 ml/min/1.73 m(2) and KDIGO stage 1/2 had a rate of RRT of less than 10%. However, this rate was 44% when both AKI stage 3 and a worst KeGFR < 30 ml/min/1.73 m(2) were observed. This interaction between AKI and KeGFR was also present when looking at long-term survival. CONCLUSION: Both the AKI classification system and KeGFR are complementary to each other. Assessing both AKI stage and KeGFR can help to identify patients at different risk levels in clinical practice. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13054-017-1873-0) contains supplementary material, which is available to authorized users. BioMed Central 2017-11-18 /pmc/articles/PMC5694169/ /pubmed/29149864 http://dx.doi.org/10.1186/s13054-017-1873-0 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
de Oliveira Marques, Flávio
Oliveira, Saulo Aires
de Lima e Souza, Priscila Ferreira
Nojoza, Wandervânia Gomes
da Silva Sena, Maiara
Ferreira, Taynara Muniz
Costa, Bruno Gabriele
Libório, Alexandre Braga
Kinetic estimated glomerular filtration rate in critically ill patients: beyond the acute kidney injury severity classification system
title Kinetic estimated glomerular filtration rate in critically ill patients: beyond the acute kidney injury severity classification system
title_full Kinetic estimated glomerular filtration rate in critically ill patients: beyond the acute kidney injury severity classification system
title_fullStr Kinetic estimated glomerular filtration rate in critically ill patients: beyond the acute kidney injury severity classification system
title_full_unstemmed Kinetic estimated glomerular filtration rate in critically ill patients: beyond the acute kidney injury severity classification system
title_short Kinetic estimated glomerular filtration rate in critically ill patients: beyond the acute kidney injury severity classification system
title_sort kinetic estimated glomerular filtration rate in critically ill patients: beyond the acute kidney injury severity classification system
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5694169/
https://www.ncbi.nlm.nih.gov/pubmed/29149864
http://dx.doi.org/10.1186/s13054-017-1873-0
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