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Validating a scoring tool to predict acute kidney injury (AKI) following cardiac surgery
BACKGROUND: Acute kidney injury (AKI) after cardiac surgery is associated with an increased risk of mortality. Preoperative risk scores can identify patients at risk for AKI and facilitate preventive strategies. Currently, validated risk scores are used to predict AKI requiring dialysis (AKI-D); les...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4349478/ https://www.ncbi.nlm.nih.gov/pubmed/25780626 http://dx.doi.org/10.1186/s40697-015-0037-x |
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author | Wong, Brian St. Onge, Jennifer Korkola, Stephen Prasad, Bhanu |
author_facet | Wong, Brian St. Onge, Jennifer Korkola, Stephen Prasad, Bhanu |
author_sort | Wong, Brian |
collection | PubMed |
description | BACKGROUND: Acute kidney injury (AKI) after cardiac surgery is associated with an increased risk of mortality. Preoperative risk scores can identify patients at risk for AKI and facilitate preventive strategies. Currently, validated risk scores are used to predict AKI requiring dialysis (AKI-D); less is known about whether these tools predict less severe forms of AKI. OBJECTIVE: To evaluate the Cleveland Clinic scoring tool in predicting both AKI-D and less severe stages of AKI in patients after cardiac surgery in a Canadian tertiary care center. DESIGN: Retrospective case–control study. SETTING: Regina Qu’Appelle Health Region (RQHR) from 2007 to 2011. PATIENTS: Patients who underwent cardiac surgery and developed postoperative kidney injury (n = 2316). MEASUREMENTS: Data on risk factors for AKI and outcomes of cardiac surgery were collected from a retrospective chart review. METHODS: The primary outcome was AKI, defined as Stage 1 (increase in serum creatinine 1.5-1.9 X baseline within 5 days), Stage 2 (increase 2.0-2.9 X baseline), or Stage 3 (increase 3.0 X baseline or more OR initiation of dialysis during hospital stay). We assessed the performance of a modified version of the Cleveland Clinic tool using receiver operating curve analyses. RESULTS: The incidence of AKI was 6.1% (Stage 1), 2.6% (Stage 2), and 5.8% (Stage 3). The area under the curve (AUC) for the Cleveland score was 0.61 (95% CI: 0.56 to 0.65; p < 0.001) for Stage 1, 0.61 (95% CI: 0.54 to 0.68; p < 0.01) for Stage 2, and 0.78 (95% CI: 0.74 to 0.82; p < 0.001) for Stage 3. Greater level of risk on the Cleveland tool was associated with a higher risk of Stage 3 AKI. LIMITATIONS: Lack of prospective validation. CONCLUSIONS: The modified Cleveland Clinic tool was valid in identifying patients with severe stages of AKI but did not have strong discrimination for early AKI stages. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40697-015-0037-x) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4349478 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43494782015-03-16 Validating a scoring tool to predict acute kidney injury (AKI) following cardiac surgery Wong, Brian St. Onge, Jennifer Korkola, Stephen Prasad, Bhanu Can J Kidney Health Dis Original Research BACKGROUND: Acute kidney injury (AKI) after cardiac surgery is associated with an increased risk of mortality. Preoperative risk scores can identify patients at risk for AKI and facilitate preventive strategies. Currently, validated risk scores are used to predict AKI requiring dialysis (AKI-D); less is known about whether these tools predict less severe forms of AKI. OBJECTIVE: To evaluate the Cleveland Clinic scoring tool in predicting both AKI-D and less severe stages of AKI in patients after cardiac surgery in a Canadian tertiary care center. DESIGN: Retrospective case–control study. SETTING: Regina Qu’Appelle Health Region (RQHR) from 2007 to 2011. PATIENTS: Patients who underwent cardiac surgery and developed postoperative kidney injury (n = 2316). MEASUREMENTS: Data on risk factors for AKI and outcomes of cardiac surgery were collected from a retrospective chart review. METHODS: The primary outcome was AKI, defined as Stage 1 (increase in serum creatinine 1.5-1.9 X baseline within 5 days), Stage 2 (increase 2.0-2.9 X baseline), or Stage 3 (increase 3.0 X baseline or more OR initiation of dialysis during hospital stay). We assessed the performance of a modified version of the Cleveland Clinic tool using receiver operating curve analyses. RESULTS: The incidence of AKI was 6.1% (Stage 1), 2.6% (Stage 2), and 5.8% (Stage 3). The area under the curve (AUC) for the Cleveland score was 0.61 (95% CI: 0.56 to 0.65; p < 0.001) for Stage 1, 0.61 (95% CI: 0.54 to 0.68; p < 0.01) for Stage 2, and 0.78 (95% CI: 0.74 to 0.82; p < 0.001) for Stage 3. Greater level of risk on the Cleveland tool was associated with a higher risk of Stage 3 AKI. LIMITATIONS: Lack of prospective validation. CONCLUSIONS: The modified Cleveland Clinic tool was valid in identifying patients with severe stages of AKI but did not have strong discrimination for early AKI stages. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40697-015-0037-x) contains supplementary material, which is available to authorized users. BioMed Central 2015-01-30 /pmc/articles/PMC4349478/ /pubmed/25780626 http://dx.doi.org/10.1186/s40697-015-0037-x Text en © Wong et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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 | Original Research Wong, Brian St. Onge, Jennifer Korkola, Stephen Prasad, Bhanu Validating a scoring tool to predict acute kidney injury (AKI) following cardiac surgery |
title | Validating a scoring tool to predict acute kidney injury (AKI) following cardiac surgery |
title_full | Validating a scoring tool to predict acute kidney injury (AKI) following cardiac surgery |
title_fullStr | Validating a scoring tool to predict acute kidney injury (AKI) following cardiac surgery |
title_full_unstemmed | Validating a scoring tool to predict acute kidney injury (AKI) following cardiac surgery |
title_short | Validating a scoring tool to predict acute kidney injury (AKI) following cardiac surgery |
title_sort | validating a scoring tool to predict acute kidney injury (aki) following cardiac surgery |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4349478/ https://www.ncbi.nlm.nih.gov/pubmed/25780626 http://dx.doi.org/10.1186/s40697-015-0037-x |
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