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Predicting Acute Kidney Injury Following Mitral Valve Repair

Background: Acute kidney injury (AKI) after cardiac surgery is associated with short-term and long-term adverse outcomes. Novel biomarkers have been identified for the early detection of AKI; however, examining these in every patient who undergoes cardiac surgery is prohibitively expensive. Society...

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Autores principales: Chang, Chih-Hsiang, Lee, Cheng-Chia, Chen, Shao-Wei, Fan, Pei-Chun, Chen, Yung-Chang, Chang, Su-Wei, Chen, Tien-Hsing, Wu, Victor Chien-Chia, Lin, Pyng-Jing, Tsai, Feng-Chun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4716816/
https://www.ncbi.nlm.nih.gov/pubmed/26816491
http://dx.doi.org/10.7150/ijms.13253
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author Chang, Chih-Hsiang
Lee, Cheng-Chia
Chen, Shao-Wei
Fan, Pei-Chun
Chen, Yung-Chang
Chang, Su-Wei
Chen, Tien-Hsing
Wu, Victor Chien-Chia
Lin, Pyng-Jing
Tsai, Feng-Chun
author_facet Chang, Chih-Hsiang
Lee, Cheng-Chia
Chen, Shao-Wei
Fan, Pei-Chun
Chen, Yung-Chang
Chang, Su-Wei
Chen, Tien-Hsing
Wu, Victor Chien-Chia
Lin, Pyng-Jing
Tsai, Feng-Chun
author_sort Chang, Chih-Hsiang
collection PubMed
description Background: Acute kidney injury (AKI) after cardiac surgery is associated with short-term and long-term adverse outcomes. Novel biomarkers have been identified for the early detection of AKI; however, examining these in every patient who undergoes cardiac surgery is prohibitively expensive. Society of Thoracic Surgeons (STS) and Age, Creatinine, and Ejection Fraction (ACEF) scores have been proven to predict mortality in bypass surgery. The aim of this study was to determine whether these scores can be used to predict AKI after mitral valve repair. Materials and Methods: Between January 2010 and December 2013, 196 patients who underwent mitral valve repair were enrolled. The clinical characteristics, outcomes, and scores of prognostic models were collected. The primary outcome was postoperative AKI, defined using the Kidney Disease Improving Global Outcome 2012 clinical practice guidelines for AKI. Results: A total of 76 patients (38.7%) developed postoperative AKI. The STS renal failure (AUROC: 0.797, P < .001) and ACEF scores (AUROC: 0.758, P < .001) are both satisfactory tools for predicting all AKI. The STS renal failure score exhibited superior accuracy compared with the ACEF score in predicting AKI stage 2 and 3. The overall accuracy of both scores was similar for all AKI and AKI stage 2 and 3 when the cut-off points of the STS renal failure and ACEF scores were 2.2 and 1.1, respectively. Conclusion: In conclusion, the STS renal failure score can be used to accurately predict stage 2 and 3 AKI after mitral valve repair. The ACEF score is a simple tool with satisfactory power in screening patients at risk of all AKI stages. Additional studies can aim to determine the clinical implications of combining preoperative risk stratification and novel biomarkers.
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spelling pubmed-47168162016-01-26 Predicting Acute Kidney Injury Following Mitral Valve Repair Chang, Chih-Hsiang Lee, Cheng-Chia Chen, Shao-Wei Fan, Pei-Chun Chen, Yung-Chang Chang, Su-Wei Chen, Tien-Hsing Wu, Victor Chien-Chia Lin, Pyng-Jing Tsai, Feng-Chun Int J Med Sci Research Paper Background: Acute kidney injury (AKI) after cardiac surgery is associated with short-term and long-term adverse outcomes. Novel biomarkers have been identified for the early detection of AKI; however, examining these in every patient who undergoes cardiac surgery is prohibitively expensive. Society of Thoracic Surgeons (STS) and Age, Creatinine, and Ejection Fraction (ACEF) scores have been proven to predict mortality in bypass surgery. The aim of this study was to determine whether these scores can be used to predict AKI after mitral valve repair. Materials and Methods: Between January 2010 and December 2013, 196 patients who underwent mitral valve repair were enrolled. The clinical characteristics, outcomes, and scores of prognostic models were collected. The primary outcome was postoperative AKI, defined using the Kidney Disease Improving Global Outcome 2012 clinical practice guidelines for AKI. Results: A total of 76 patients (38.7%) developed postoperative AKI. The STS renal failure (AUROC: 0.797, P < .001) and ACEF scores (AUROC: 0.758, P < .001) are both satisfactory tools for predicting all AKI. The STS renal failure score exhibited superior accuracy compared with the ACEF score in predicting AKI stage 2 and 3. The overall accuracy of both scores was similar for all AKI and AKI stage 2 and 3 when the cut-off points of the STS renal failure and ACEF scores were 2.2 and 1.1, respectively. Conclusion: In conclusion, the STS renal failure score can be used to accurately predict stage 2 and 3 AKI after mitral valve repair. The ACEF score is a simple tool with satisfactory power in screening patients at risk of all AKI stages. Additional studies can aim to determine the clinical implications of combining preoperative risk stratification and novel biomarkers. Ivyspring International Publisher 2016-01-01 /pmc/articles/PMC4716816/ /pubmed/26816491 http://dx.doi.org/10.7150/ijms.13253 Text en © Ivyspring International Publisher. Reproduction is permitted for personal, noncommercial use, provided that the article is in whole, unmodified, and properly cited. See http://ivyspring.com/terms for terms and conditions.
spellingShingle Research Paper
Chang, Chih-Hsiang
Lee, Cheng-Chia
Chen, Shao-Wei
Fan, Pei-Chun
Chen, Yung-Chang
Chang, Su-Wei
Chen, Tien-Hsing
Wu, Victor Chien-Chia
Lin, Pyng-Jing
Tsai, Feng-Chun
Predicting Acute Kidney Injury Following Mitral Valve Repair
title Predicting Acute Kidney Injury Following Mitral Valve Repair
title_full Predicting Acute Kidney Injury Following Mitral Valve Repair
title_fullStr Predicting Acute Kidney Injury Following Mitral Valve Repair
title_full_unstemmed Predicting Acute Kidney Injury Following Mitral Valve Repair
title_short Predicting Acute Kidney Injury Following Mitral Valve Repair
title_sort predicting acute kidney injury following mitral valve repair
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4716816/
https://www.ncbi.nlm.nih.gov/pubmed/26816491
http://dx.doi.org/10.7150/ijms.13253
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