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Multimarker Approach to Identify Patients with Coronary Artery Disease at High Risk for Subsequent Cardiac Adverse Events: The Multi-Biomarker Study

In our prospective non-randomized, single-center cohort study (n = 161), we have evaluated a multimarker approach including S100 calcium binding protein A12 (S100A1), interleukin 1 like-receptor-4 (IL1R4), adrenomedullin, copeptin, neutrophil gelatinase-associated lipocalin (NGAL), soluble urokinase...

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Autores principales: Giurgea, Georgiana-Aura, Zlabinger, Katrin, Gugerell, Alfred, Lukovic, Dominika, Syeda, Bonni, Mandic, Ljubica, Pavo, Noemi, Mester-Tonczar, Julia, Traxler-Weidenauer, Denise, Spannbauer, Andreas, Kastner, Nina, Müller, Claudia, Anvari, Anahit, Bergler-Klein, Jutta, Gyöngyösi, Mariann
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7356937/
https://www.ncbi.nlm.nih.gov/pubmed/32549327
http://dx.doi.org/10.3390/biom10060909
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author Giurgea, Georgiana-Aura
Zlabinger, Katrin
Gugerell, Alfred
Lukovic, Dominika
Syeda, Bonni
Mandic, Ljubica
Pavo, Noemi
Mester-Tonczar, Julia
Traxler-Weidenauer, Denise
Spannbauer, Andreas
Kastner, Nina
Müller, Claudia
Anvari, Anahit
Bergler-Klein, Jutta
Gyöngyösi, Mariann
author_facet Giurgea, Georgiana-Aura
Zlabinger, Katrin
Gugerell, Alfred
Lukovic, Dominika
Syeda, Bonni
Mandic, Ljubica
Pavo, Noemi
Mester-Tonczar, Julia
Traxler-Weidenauer, Denise
Spannbauer, Andreas
Kastner, Nina
Müller, Claudia
Anvari, Anahit
Bergler-Klein, Jutta
Gyöngyösi, Mariann
author_sort Giurgea, Georgiana-Aura
collection PubMed
description In our prospective non-randomized, single-center cohort study (n = 161), we have evaluated a multimarker approach including S100 calcium binding protein A12 (S100A1), interleukin 1 like-receptor-4 (IL1R4), adrenomedullin, copeptin, neutrophil gelatinase-associated lipocalin (NGAL), soluble urokinase plasminogen activator receptor (suPAR), and ischemia modified albumin (IMA) in prediction of subsequent cardiac adverse events (AE) during 1-year follow-up in patients with coronary artery disease. The primary endpoint was to assess the combined discriminatory predictive value of the selected 7 biomarkers in prediction of AE (myocardial infarction, coronary revascularization, death, stroke, and hospitalization) by canonical discriminant function analysis. The main secondary endpoints were the levels of the 7 biomarkers in the groups with/without AE; comparison of the calculated discriminant score of the biomarkers with traditional logistic regression and C-statistics. The canonical correlation coefficient was 0.642, with a Wilk’s lambda value of 0.78 and p < 0.001. By using the calculated discriminant equation with the weighted mean discriminant score (centroid), the sensitivity and specificity of our model were 79.4% and 74.3% in prediction of AE. These values were higher than that of the calculated C-statistics if traditional risk factors with/without biomarkers were used for AE prediction. In conclusion, canonical discriminant analysis of the multimarker approach is able to define the risk threshold at the individual patient level for personalized medicine.
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spelling pubmed-73569372020-07-22 Multimarker Approach to Identify Patients with Coronary Artery Disease at High Risk for Subsequent Cardiac Adverse Events: The Multi-Biomarker Study Giurgea, Georgiana-Aura Zlabinger, Katrin Gugerell, Alfred Lukovic, Dominika Syeda, Bonni Mandic, Ljubica Pavo, Noemi Mester-Tonczar, Julia Traxler-Weidenauer, Denise Spannbauer, Andreas Kastner, Nina Müller, Claudia Anvari, Anahit Bergler-Klein, Jutta Gyöngyösi, Mariann Biomolecules Article In our prospective non-randomized, single-center cohort study (n = 161), we have evaluated a multimarker approach including S100 calcium binding protein A12 (S100A1), interleukin 1 like-receptor-4 (IL1R4), adrenomedullin, copeptin, neutrophil gelatinase-associated lipocalin (NGAL), soluble urokinase plasminogen activator receptor (suPAR), and ischemia modified albumin (IMA) in prediction of subsequent cardiac adverse events (AE) during 1-year follow-up in patients with coronary artery disease. The primary endpoint was to assess the combined discriminatory predictive value of the selected 7 biomarkers in prediction of AE (myocardial infarction, coronary revascularization, death, stroke, and hospitalization) by canonical discriminant function analysis. The main secondary endpoints were the levels of the 7 biomarkers in the groups with/without AE; comparison of the calculated discriminant score of the biomarkers with traditional logistic regression and C-statistics. The canonical correlation coefficient was 0.642, with a Wilk’s lambda value of 0.78 and p < 0.001. By using the calculated discriminant equation with the weighted mean discriminant score (centroid), the sensitivity and specificity of our model were 79.4% and 74.3% in prediction of AE. These values were higher than that of the calculated C-statistics if traditional risk factors with/without biomarkers were used for AE prediction. In conclusion, canonical discriminant analysis of the multimarker approach is able to define the risk threshold at the individual patient level for personalized medicine. MDPI 2020-06-15 /pmc/articles/PMC7356937/ /pubmed/32549327 http://dx.doi.org/10.3390/biom10060909 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Giurgea, Georgiana-Aura
Zlabinger, Katrin
Gugerell, Alfred
Lukovic, Dominika
Syeda, Bonni
Mandic, Ljubica
Pavo, Noemi
Mester-Tonczar, Julia
Traxler-Weidenauer, Denise
Spannbauer, Andreas
Kastner, Nina
Müller, Claudia
Anvari, Anahit
Bergler-Klein, Jutta
Gyöngyösi, Mariann
Multimarker Approach to Identify Patients with Coronary Artery Disease at High Risk for Subsequent Cardiac Adverse Events: The Multi-Biomarker Study
title Multimarker Approach to Identify Patients with Coronary Artery Disease at High Risk for Subsequent Cardiac Adverse Events: The Multi-Biomarker Study
title_full Multimarker Approach to Identify Patients with Coronary Artery Disease at High Risk for Subsequent Cardiac Adverse Events: The Multi-Biomarker Study
title_fullStr Multimarker Approach to Identify Patients with Coronary Artery Disease at High Risk for Subsequent Cardiac Adverse Events: The Multi-Biomarker Study
title_full_unstemmed Multimarker Approach to Identify Patients with Coronary Artery Disease at High Risk for Subsequent Cardiac Adverse Events: The Multi-Biomarker Study
title_short Multimarker Approach to Identify Patients with Coronary Artery Disease at High Risk for Subsequent Cardiac Adverse Events: The Multi-Biomarker Study
title_sort multimarker approach to identify patients with coronary artery disease at high risk for subsequent cardiac adverse events: the multi-biomarker study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7356937/
https://www.ncbi.nlm.nih.gov/pubmed/32549327
http://dx.doi.org/10.3390/biom10060909
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