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Predictive value of creatine kinase MB for contrast-induced acute kidney injury among myocardial infarction patients

BACKGROUND: Predictive value of creatine kinase MB (CK-MB) for contrast-induced acute kidney injury (CI-AKI) among myocardial infarction (MI) patients has rarely been reported. We aim to evaluate the predictive value of CK-MB for CI-AKI among MI patients. METHODS: Totally, 1131 MI patients were incl...

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Autores principales: Wei, Wen, Zhang, Lingyu, Zhang, Yunhan, Tang, Ronghui, Zhao, Miao, Huang, Zhidong, Liu, Jin, Xu, Danyuan, He, Yibo, Wang, Bo, Huang, Haozhang, Li, Qiang, Lin, Mengfei, Liu, Yong, Chen, Kaihong, Chen, Shiqun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8276394/
https://www.ncbi.nlm.nih.gov/pubmed/34256723
http://dx.doi.org/10.1186/s12872-021-02155-7
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author Wei, Wen
Zhang, Lingyu
Zhang, Yunhan
Tang, Ronghui
Zhao, Miao
Huang, Zhidong
Liu, Jin
Xu, Danyuan
He, Yibo
Wang, Bo
Huang, Haozhang
Li, Qiang
Lin, Mengfei
Liu, Yong
Chen, Kaihong
Chen, Shiqun
author_facet Wei, Wen
Zhang, Lingyu
Zhang, Yunhan
Tang, Ronghui
Zhao, Miao
Huang, Zhidong
Liu, Jin
Xu, Danyuan
He, Yibo
Wang, Bo
Huang, Haozhang
Li, Qiang
Lin, Mengfei
Liu, Yong
Chen, Kaihong
Chen, Shiqun
author_sort Wei, Wen
collection PubMed
description BACKGROUND: Predictive value of creatine kinase MB (CK-MB) for contrast-induced acute kidney injury (CI-AKI) among myocardial infarction (MI) patients has rarely been reported. We aim to evaluate the predictive value of CK-MB for CI-AKI among MI patients. METHODS: Totally, 1131 MI patients were included from the REduction of rIsk for Contrast-Induced Nephropathy (REICIN) study. The peak CK-MB before coronary angiography (CAG) was chosen. The study population was divided into two groups by log-transformed CK-MB cut-off point. The association between CK-MB and CI-AKI was tested by multivariable logistic regression. CK-MB was integrated with Age, creatinine and ejection fraction (ACEF) score and Mehran risk score (MRS) to evaluate the additive value of CK-MB. The integrated models were validated internally by the bootstrap method and externally by the PREdictive Value of COntrast voluMe to creatinine Clearance Ratio (PRECOMIN) study data set. RESULTS: Overall, 62(5.48%) patients developed CI-AKI, patients with CK-MB point > 4.7 displayed a higher incidence of CI-AKI than those without (11.9% vs. 4.0%, p < 0.001). CK-MB point > 4.7 was independently associated with CI-AKI (adjusted OR: 3.40, 95% CI: 1.93–5.98, p < 0.001). The additions of CK-MB to ACEF score, Mehran score A and Mehran score B resulted in increases in C-statistics, which ranged from 0.680 to 0.733 (p = 0.046), 0.694 to 0.727 (p = 0.091), 0.704 to 0.734 (p = 0.102), respectively. Internal validation also showed increases in C-statistics, and external validation performed well in discrimination and calibration. CONCLUSIONS: Preprocedural peak CK-MB was a predictor of CI-AKI among MI patients.
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spelling pubmed-82763942021-07-13 Predictive value of creatine kinase MB for contrast-induced acute kidney injury among myocardial infarction patients Wei, Wen Zhang, Lingyu Zhang, Yunhan Tang, Ronghui Zhao, Miao Huang, Zhidong Liu, Jin Xu, Danyuan He, Yibo Wang, Bo Huang, Haozhang Li, Qiang Lin, Mengfei Liu, Yong Chen, Kaihong Chen, Shiqun BMC Cardiovasc Disord Research BACKGROUND: Predictive value of creatine kinase MB (CK-MB) for contrast-induced acute kidney injury (CI-AKI) among myocardial infarction (MI) patients has rarely been reported. We aim to evaluate the predictive value of CK-MB for CI-AKI among MI patients. METHODS: Totally, 1131 MI patients were included from the REduction of rIsk for Contrast-Induced Nephropathy (REICIN) study. The peak CK-MB before coronary angiography (CAG) was chosen. The study population was divided into two groups by log-transformed CK-MB cut-off point. The association between CK-MB and CI-AKI was tested by multivariable logistic regression. CK-MB was integrated with Age, creatinine and ejection fraction (ACEF) score and Mehran risk score (MRS) to evaluate the additive value of CK-MB. The integrated models were validated internally by the bootstrap method and externally by the PREdictive Value of COntrast voluMe to creatinine Clearance Ratio (PRECOMIN) study data set. RESULTS: Overall, 62(5.48%) patients developed CI-AKI, patients with CK-MB point > 4.7 displayed a higher incidence of CI-AKI than those without (11.9% vs. 4.0%, p < 0.001). CK-MB point > 4.7 was independently associated with CI-AKI (adjusted OR: 3.40, 95% CI: 1.93–5.98, p < 0.001). The additions of CK-MB to ACEF score, Mehran score A and Mehran score B resulted in increases in C-statistics, which ranged from 0.680 to 0.733 (p = 0.046), 0.694 to 0.727 (p = 0.091), 0.704 to 0.734 (p = 0.102), respectively. Internal validation also showed increases in C-statistics, and external validation performed well in discrimination and calibration. CONCLUSIONS: Preprocedural peak CK-MB was a predictor of CI-AKI among MI patients. BioMed Central 2021-07-13 /pmc/articles/PMC8276394/ /pubmed/34256723 http://dx.doi.org/10.1186/s12872-021-02155-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Wei, Wen
Zhang, Lingyu
Zhang, Yunhan
Tang, Ronghui
Zhao, Miao
Huang, Zhidong
Liu, Jin
Xu, Danyuan
He, Yibo
Wang, Bo
Huang, Haozhang
Li, Qiang
Lin, Mengfei
Liu, Yong
Chen, Kaihong
Chen, Shiqun
Predictive value of creatine kinase MB for contrast-induced acute kidney injury among myocardial infarction patients
title Predictive value of creatine kinase MB for contrast-induced acute kidney injury among myocardial infarction patients
title_full Predictive value of creatine kinase MB for contrast-induced acute kidney injury among myocardial infarction patients
title_fullStr Predictive value of creatine kinase MB for contrast-induced acute kidney injury among myocardial infarction patients
title_full_unstemmed Predictive value of creatine kinase MB for contrast-induced acute kidney injury among myocardial infarction patients
title_short Predictive value of creatine kinase MB for contrast-induced acute kidney injury among myocardial infarction patients
title_sort predictive value of creatine kinase mb for contrast-induced acute kidney injury among myocardial infarction patients
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8276394/
https://www.ncbi.nlm.nih.gov/pubmed/34256723
http://dx.doi.org/10.1186/s12872-021-02155-7
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