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Value of S100A12 in predicting in-stent restenosis in patients with coronary drug-eluting stent implantation

In-stent restenosis (ISR) after drug-eluting stent (DES) placement has recently emerged as a major concern for cardiologists. Identification of biomarkers to predict ISR may be invaluable for tailored management strategies. The present study aimed to evaluate the prognostic utility of circulating S1...

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Autores principales: Liang, Hengyi, Cui, Yuqi, Bu, Haoran, Liu, Hang, Yan, Pengcheng, Cui, Lianqun, Chen, Liming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7282035/
https://www.ncbi.nlm.nih.gov/pubmed/32536993
http://dx.doi.org/10.3892/etm.2020.8721
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author Liang, Hengyi
Cui, Yuqi
Bu, Haoran
Liu, Hang
Yan, Pengcheng
Cui, Lianqun
Chen, Liming
author_facet Liang, Hengyi
Cui, Yuqi
Bu, Haoran
Liu, Hang
Yan, Pengcheng
Cui, Lianqun
Chen, Liming
author_sort Liang, Hengyi
collection PubMed
description In-stent restenosis (ISR) after drug-eluting stent (DES) placement has recently emerged as a major concern for cardiologists. Identification of biomarkers to predict ISR may be invaluable for tailored management strategies. The present study aimed to evaluate the prognostic utility of circulating S100 calcium-binding protein A12 (S100A12) for ISR. Out of 2,443 patients with DES-based percutaneous coronary intervention (PCI) and follow-up angiography at ~1 year after DES-based PCI, 258 patients were diagnosed with ISR and 258 patients without ISR were randomly selected as controls. Serum S100A12 levels were determined in the two subsets on admission. The association between ISR and the circulating levels of S100A12 was determined by constructing two multivariate stepwise logistic regression models. In addition, S100A12 was assessed for its ability to predict ISR using receiver operating characteristic (ROC) curve analysis. The serum levels of S100A12 at baseline were significantly elevated in patients in the ISR group compared with those in the non-ISR group (P<0.001). In the multivariate logistic regression analysis, after adjusting for conventional cardiovascular risk factors, laboratory parameters and medication after the procedure, the S100A12 level was revealed to be independently associated with ISR. When a cut-off for serum S100A12 levels of 34.75 ng/ml was used, the ROC curve was able to predict ISR with 72.8% sensitivity and 79.1% specificity, and the area under the ROC curve was 0.796 (95% CI: 0.757 to 0.834, P<0.001). Furthermore, addition of S100A12 to established risk factors significantly improved the predictive power of reference models for ISR. S100A12 may serve as an independent marker to predict ISR in patients undergoing coronary DES implantation.
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spelling pubmed-72820352020-06-11 Value of S100A12 in predicting in-stent restenosis in patients with coronary drug-eluting stent implantation Liang, Hengyi Cui, Yuqi Bu, Haoran Liu, Hang Yan, Pengcheng Cui, Lianqun Chen, Liming Exp Ther Med Articles In-stent restenosis (ISR) after drug-eluting stent (DES) placement has recently emerged as a major concern for cardiologists. Identification of biomarkers to predict ISR may be invaluable for tailored management strategies. The present study aimed to evaluate the prognostic utility of circulating S100 calcium-binding protein A12 (S100A12) for ISR. Out of 2,443 patients with DES-based percutaneous coronary intervention (PCI) and follow-up angiography at ~1 year after DES-based PCI, 258 patients were diagnosed with ISR and 258 patients without ISR were randomly selected as controls. Serum S100A12 levels were determined in the two subsets on admission. The association between ISR and the circulating levels of S100A12 was determined by constructing two multivariate stepwise logistic regression models. In addition, S100A12 was assessed for its ability to predict ISR using receiver operating characteristic (ROC) curve analysis. The serum levels of S100A12 at baseline were significantly elevated in patients in the ISR group compared with those in the non-ISR group (P<0.001). In the multivariate logistic regression analysis, after adjusting for conventional cardiovascular risk factors, laboratory parameters and medication after the procedure, the S100A12 level was revealed to be independently associated with ISR. When a cut-off for serum S100A12 levels of 34.75 ng/ml was used, the ROC curve was able to predict ISR with 72.8% sensitivity and 79.1% specificity, and the area under the ROC curve was 0.796 (95% CI: 0.757 to 0.834, P<0.001). Furthermore, addition of S100A12 to established risk factors significantly improved the predictive power of reference models for ISR. S100A12 may serve as an independent marker to predict ISR in patients undergoing coronary DES implantation. D.A. Spandidos 2020-07 2020-05-06 /pmc/articles/PMC7282035/ /pubmed/32536993 http://dx.doi.org/10.3892/etm.2020.8721 Text en Copyright: © Liang et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Liang, Hengyi
Cui, Yuqi
Bu, Haoran
Liu, Hang
Yan, Pengcheng
Cui, Lianqun
Chen, Liming
Value of S100A12 in predicting in-stent restenosis in patients with coronary drug-eluting stent implantation
title Value of S100A12 in predicting in-stent restenosis in patients with coronary drug-eluting stent implantation
title_full Value of S100A12 in predicting in-stent restenosis in patients with coronary drug-eluting stent implantation
title_fullStr Value of S100A12 in predicting in-stent restenosis in patients with coronary drug-eluting stent implantation
title_full_unstemmed Value of S100A12 in predicting in-stent restenosis in patients with coronary drug-eluting stent implantation
title_short Value of S100A12 in predicting in-stent restenosis in patients with coronary drug-eluting stent implantation
title_sort value of s100a12 in predicting in-stent restenosis in patients with coronary drug-eluting stent implantation
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7282035/
https://www.ncbi.nlm.nih.gov/pubmed/32536993
http://dx.doi.org/10.3892/etm.2020.8721
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