Prediction of coronary disease incidence by biomarkers of inflammation, oxidation, and metabolism
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- dc.contributor.author Subirana Cachinero, Isaac
- dc.contributor.author Fitó Colomer, Montserrat
- dc.contributor.author Díaz Gil, Oscar
- dc.contributor.author Vila, Joan
- dc.contributor.author Francés, Albert
- dc.contributor.author Delpon, Eva
- dc.contributor.author Sanchís, Juan
- dc.contributor.author Elosua Llanos, Roberto
- dc.contributor.author Muñoz-Aguayo, D.
- dc.contributor.author Dégano, Irene R.
- dc.contributor.author Marrugat de la Iglesia, Jaume
- dc.date.accessioned 2019-02-01T09:13:30Z
- dc.date.available 2019-02-01T09:13:30Z
- dc.date.issued 2019
- dc.description.abstract The effect of circulating biomarkers in predicting coronary artery disease (CAD) is not fully elucidated. This study aimed to determine the relationship with CAD and the predictive capacity of nine biomarkers of inflammation (TNF-α, IL-10, IL-6, MCP-1, CRP), oxidation (GHS-Px), and metabolism (adiponectin, leptin, and insulin). This was a case-cohort study, within the REGICOR population-cohorts (North-Eastern Spain), of 105 CAD cases and 638 individuals randomly selected from a cohort of 5,404 participants aged 35-74 years (mean follow-up = 6.1 years). Biomarkers' hazard ratio (HR)/standard deviation was estimated with Cox models adjusted for age, sex, and classical risk factors. Discrimination improvement and reclassification were analyzed with the c-index and the Net reclassification index (NRI). GHS-Px (adjusted HRs = 0.77; 95%CI:0.60-0.99), insulin (1.46; 1.08-1.98), leptin (1.40; 1.03-1.90), IL-6 (1.34; 1.03-1.74), and TNF-α (1.80; 1.26-2.57) were significantly associated with CAD incidence. In the model adjusted for all biomarkers, TNF-α (1.87;1.31-2.66) and insulin (1.59;1.16-2.19) were independently associated with CAD. This final model, compared to a model without biomarkers, showed a c-index difference of 1.3% (-0.7, 3.2) and a continuous NRI of 33.7% (2.6, 61.9). TNF-α and insulin are independently associated with CAD incidence and they improve reclassification when added to a model including classical risk factors.
- dc.format.mimetype application/pdf
- dc.identifier.citation Subirana I, Fitó M, Diaz O, Vila J, Francés A, Delpon E. et al. Prediction of coronary disease incidence by biomarkers of inflammation, oxidation, and metabolism. Sci Rep. 2018 Feb 16;8(1):3191. DOI: 10.1038/s41598-018-21482-y
- dc.identifier.doi http://dx.doi.org/0.1038/s41598-018-21482-y
- dc.identifier.issn 2045-2322
- dc.identifier.uri http://hdl.handle.net/10230/36472
- dc.language.iso eng
- dc.publisher Nature Research
- dc.relation.ispartof Scientific Reports. 2018 Feb 16;8(1):3191
- dc.rights This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri http://creativecommons.org/licenses/by/4.0/
- dc.subject.other Marcadors bioquímics
- dc.subject.other Malalties coronàries
- dc.title Prediction of coronary disease incidence by biomarkers of inflammation, oxidation, and metabolism
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/publishedVersion