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Diagnosis and outcomes of acute kidney injury using surrogate and imputation methods for missing preadmission creatinine values

BACKGROUND: Missing preadmission serum creatinine (SCr) values are a common obstacle to assess acute kidney injury (AKI) diagnosis and outcomes. The Kidney Disease Improving Global Outcomes (KDIGO) guidelines suggest using a SCr computed from the Modification of Diet in Renal Disease (MDRD) with an...

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Autores principales: Bernier-Jean, Amélie, Beaubien-Souligny, William, Goupil, Rémi, Madore, François, Paquette, François, Troyanov, Stéphan, Bouchard, Josée
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5410063/
https://www.ncbi.nlm.nih.gov/pubmed/28454562
http://dx.doi.org/10.1186/s12882-017-0552-3
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author Bernier-Jean, Amélie
Beaubien-Souligny, William
Goupil, Rémi
Madore, François
Paquette, François
Troyanov, Stéphan
Bouchard, Josée
author_facet Bernier-Jean, Amélie
Beaubien-Souligny, William
Goupil, Rémi
Madore, François
Paquette, François
Troyanov, Stéphan
Bouchard, Josée
author_sort Bernier-Jean, Amélie
collection PubMed
description BACKGROUND: Missing preadmission serum creatinine (SCr) values are a common obstacle to assess acute kidney injury (AKI) diagnosis and outcomes. The Kidney Disease Improving Global Outcomes (KDIGO) guidelines suggest using a SCr computed from the Modification of Diet in Renal Disease (MDRD) with an estimated glomerular filtration rate of 75 ml/min/1.73 m(2). We aimed to identify the best surrogate method for baseline SCr to assess AKI diagnosis and outcomes. METHODS: We compared the use of 1) first SCr at hospital admission 2) minimal SCr over 2 weeks after intensive care unit admission 3) MDRD computed SCr and 4) Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) computed SCr to assess AKI diagnosis and outcomes. We then performed multilinear regression models to predict preadmission SCr and imputation strategies to assess AKI diagnosis. RESULTS: Our one-year retrospective cohort study included 1001 critically ill adults; 498 of them had preadmission SCr values. In these patients, AKI incidence was 25.1% using preadmission SCr. First SCr had the best agreement for AKI diagnosis (22.5%; kappa = 0.90) and staging (kappa = 0.81). MDRD, CKD-EPI and minimal SCr overestimated AKI diagnosis (26.7%, 27.1% and 43.2%;kappa = 0.86, 0.86 and 0.60, respectively). However, MDRD and CKD-EPI computed SCr had a better sensitivity than first SCr for AKI (93% and 94% vs. 87%). Eighty-eight percent of patients experienced renal recovery at least 3 months after hospital discharge. All methods except the first SCr significantly underestimated the percentage of renal recovery. In a multivariate model, age, male gender, hypertension, heart failure, undergoing surgery and log first SCr best predicted preadmission SCr (adjusted R(2) = 0.56). Imputation methods with first SCr increased AKI incidence to 23.9% (kappa = 0.92) but not with MDRD computed SCr (26.7%;kappa = 0.89). CONCLUSION: In our cohort, first SCr performed better for AKI diagnosis and staging, as well as for renal recovery after hospital discharge than MDRD, CKD-EPI or minimal SCr. However, MDRD SCr and CKD-EPI SCr improved AKI diagnosis sensitivity. Imputation methods minimally increased agreement for AKI diagnosis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12882-017-0552-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-54100632017-05-02 Diagnosis and outcomes of acute kidney injury using surrogate and imputation methods for missing preadmission creatinine values Bernier-Jean, Amélie Beaubien-Souligny, William Goupil, Rémi Madore, François Paquette, François Troyanov, Stéphan Bouchard, Josée BMC Nephrol Research Article BACKGROUND: Missing preadmission serum creatinine (SCr) values are a common obstacle to assess acute kidney injury (AKI) diagnosis and outcomes. The Kidney Disease Improving Global Outcomes (KDIGO) guidelines suggest using a SCr computed from the Modification of Diet in Renal Disease (MDRD) with an estimated glomerular filtration rate of 75 ml/min/1.73 m(2). We aimed to identify the best surrogate method for baseline SCr to assess AKI diagnosis and outcomes. METHODS: We compared the use of 1) first SCr at hospital admission 2) minimal SCr over 2 weeks after intensive care unit admission 3) MDRD computed SCr and 4) Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) computed SCr to assess AKI diagnosis and outcomes. We then performed multilinear regression models to predict preadmission SCr and imputation strategies to assess AKI diagnosis. RESULTS: Our one-year retrospective cohort study included 1001 critically ill adults; 498 of them had preadmission SCr values. In these patients, AKI incidence was 25.1% using preadmission SCr. First SCr had the best agreement for AKI diagnosis (22.5%; kappa = 0.90) and staging (kappa = 0.81). MDRD, CKD-EPI and minimal SCr overestimated AKI diagnosis (26.7%, 27.1% and 43.2%;kappa = 0.86, 0.86 and 0.60, respectively). However, MDRD and CKD-EPI computed SCr had a better sensitivity than first SCr for AKI (93% and 94% vs. 87%). Eighty-eight percent of patients experienced renal recovery at least 3 months after hospital discharge. All methods except the first SCr significantly underestimated the percentage of renal recovery. In a multivariate model, age, male gender, hypertension, heart failure, undergoing surgery and log first SCr best predicted preadmission SCr (adjusted R(2) = 0.56). Imputation methods with first SCr increased AKI incidence to 23.9% (kappa = 0.92) but not with MDRD computed SCr (26.7%;kappa = 0.89). CONCLUSION: In our cohort, first SCr performed better for AKI diagnosis and staging, as well as for renal recovery after hospital discharge than MDRD, CKD-EPI or minimal SCr. However, MDRD SCr and CKD-EPI SCr improved AKI diagnosis sensitivity. Imputation methods minimally increased agreement for AKI diagnosis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12882-017-0552-3) contains supplementary material, which is available to authorized users. BioMed Central 2017-04-28 /pmc/articles/PMC5410063/ /pubmed/28454562 http://dx.doi.org/10.1186/s12882-017-0552-3 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 Article
Bernier-Jean, Amélie
Beaubien-Souligny, William
Goupil, Rémi
Madore, François
Paquette, François
Troyanov, Stéphan
Bouchard, Josée
Diagnosis and outcomes of acute kidney injury using surrogate and imputation methods for missing preadmission creatinine values
title Diagnosis and outcomes of acute kidney injury using surrogate and imputation methods for missing preadmission creatinine values
title_full Diagnosis and outcomes of acute kidney injury using surrogate and imputation methods for missing preadmission creatinine values
title_fullStr Diagnosis and outcomes of acute kidney injury using surrogate and imputation methods for missing preadmission creatinine values
title_full_unstemmed Diagnosis and outcomes of acute kidney injury using surrogate and imputation methods for missing preadmission creatinine values
title_short Diagnosis and outcomes of acute kidney injury using surrogate and imputation methods for missing preadmission creatinine values
title_sort diagnosis and outcomes of acute kidney injury using surrogate and imputation methods for missing preadmission creatinine values
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5410063/
https://www.ncbi.nlm.nih.gov/pubmed/28454562
http://dx.doi.org/10.1186/s12882-017-0552-3
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