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Role of serum cystatin C in the prediction of contrast-induced nephropathy after intra-arterial interventions

BACKGROUND: The diagnosis of contrast-induced nephropathy (CIN) is usually based on changes in serum creatinine (sCr). However, sCr has poor sensitivity as a biomarker of kidney injury. The aim of this study was to investigate the usefulness of serum cystatin C (sCysC) to predict CIN after intra-art...

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Autores principales: Wang, Zheng-Yu, Wang, Yong-Li, Wei, Jian, Jin, Long, Wang, Zhen-Chang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7046250/
https://www.ncbi.nlm.nih.gov/pubmed/31977562
http://dx.doi.org/10.1097/CM9.0000000000000641
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author Wang, Zheng-Yu
Wang, Yong-Li
Wei, Jian
Jin, Long
Wang, Zhen-Chang
author_facet Wang, Zheng-Yu
Wang, Yong-Li
Wei, Jian
Jin, Long
Wang, Zhen-Chang
author_sort Wang, Zheng-Yu
collection PubMed
description BACKGROUND: The diagnosis of contrast-induced nephropathy (CIN) is usually based on changes in serum creatinine (sCr). However, sCr has poor sensitivity as a biomarker of kidney injury. The aim of this study was to investigate the usefulness of serum cystatin C (sCysC) to predict CIN after intra-arterial interventions. METHODS: A total of 360 consecutive patients underwent intra-arterial procedures using digital subtraction angiography. SCr, sCysC, and estimated glomerular filtration rate were measured at 1 to 2 days before and at 48, 72 h, and 7 days after the procedure. RESULTS: Thirty-one patients (8.61%) developed CIN. Receiver operating characteristic (ROC) curve analysis showed that pre-operative sCysC levels had good discriminatory power (area under the curve [AUC] = 0.634; 95% confidence interval [CI] = 0.526–0.743) for evaluating the risk of CIN after an endovascular procedure, with a sensitivity of 53.33% and specificity of 73.70%. ROC analysis showed that sCysC at 48 h after contrast medium administration was predictive of CIN after an endovascular procedure (AUC = 0.735; 95% CI = 0.647–0.822) with satisfactory sensitivity of 74.20% and specificity of 63.90%. Diabetes mellitus was an independent risk factor for CIN (odds ratio = 2.778; 95% CI = 1.045–7.382; P = 0.040). CONCLUSIONS: SCysC is an appropriate biomarker to predict the occurrence of CIN. Baseline sCysC before an intervention is useful to obtain a preliminary estimate of the risk of CIN. A 48-h cut-off value of sCysC of 0.99 mg/L after an endovascular procedure may help to rule out patients at lower risk of CIN.
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spelling pubmed-70462502020-03-10 Role of serum cystatin C in the prediction of contrast-induced nephropathy after intra-arterial interventions Wang, Zheng-Yu Wang, Yong-Li Wei, Jian Jin, Long Wang, Zhen-Chang Chin Med J (Engl) Original Articles BACKGROUND: The diagnosis of contrast-induced nephropathy (CIN) is usually based on changes in serum creatinine (sCr). However, sCr has poor sensitivity as a biomarker of kidney injury. The aim of this study was to investigate the usefulness of serum cystatin C (sCysC) to predict CIN after intra-arterial interventions. METHODS: A total of 360 consecutive patients underwent intra-arterial procedures using digital subtraction angiography. SCr, sCysC, and estimated glomerular filtration rate were measured at 1 to 2 days before and at 48, 72 h, and 7 days after the procedure. RESULTS: Thirty-one patients (8.61%) developed CIN. Receiver operating characteristic (ROC) curve analysis showed that pre-operative sCysC levels had good discriminatory power (area under the curve [AUC] = 0.634; 95% confidence interval [CI] = 0.526–0.743) for evaluating the risk of CIN after an endovascular procedure, with a sensitivity of 53.33% and specificity of 73.70%. ROC analysis showed that sCysC at 48 h after contrast medium administration was predictive of CIN after an endovascular procedure (AUC = 0.735; 95% CI = 0.647–0.822) with satisfactory sensitivity of 74.20% and specificity of 63.90%. Diabetes mellitus was an independent risk factor for CIN (odds ratio = 2.778; 95% CI = 1.045–7.382; P = 0.040). CONCLUSIONS: SCysC is an appropriate biomarker to predict the occurrence of CIN. Baseline sCysC before an intervention is useful to obtain a preliminary estimate of the risk of CIN. A 48-h cut-off value of sCysC of 0.99 mg/L after an endovascular procedure may help to rule out patients at lower risk of CIN. Wolters Kluwer Health 2020-02-20 2020-02-20 /pmc/articles/PMC7046250/ /pubmed/31977562 http://dx.doi.org/10.1097/CM9.0000000000000641 Text en Copyright © 2020 The Chinese Medical Association, produced by Wolters Kluwer, Inc. under the CC-BY-NC-ND license. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0
spellingShingle Original Articles
Wang, Zheng-Yu
Wang, Yong-Li
Wei, Jian
Jin, Long
Wang, Zhen-Chang
Role of serum cystatin C in the prediction of contrast-induced nephropathy after intra-arterial interventions
title Role of serum cystatin C in the prediction of contrast-induced nephropathy after intra-arterial interventions
title_full Role of serum cystatin C in the prediction of contrast-induced nephropathy after intra-arterial interventions
title_fullStr Role of serum cystatin C in the prediction of contrast-induced nephropathy after intra-arterial interventions
title_full_unstemmed Role of serum cystatin C in the prediction of contrast-induced nephropathy after intra-arterial interventions
title_short Role of serum cystatin C in the prediction of contrast-induced nephropathy after intra-arterial interventions
title_sort role of serum cystatin c in the prediction of contrast-induced nephropathy after intra-arterial interventions
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7046250/
https://www.ncbi.nlm.nih.gov/pubmed/31977562
http://dx.doi.org/10.1097/CM9.0000000000000641
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