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Prognostic performance of multiple biomarkers in patients with acute coronary syndrome without standard cardiovascular risk factors

BACKGROUND AND AIMS: Acute coronary syndrome (ACS) without standard modifiable cardiovascular risk factors (SMuRFs) represents a special case of ACS. Multiple biomarkers have been shown to improve risk stratification in patients with ACS. However, the utility of biomarkers for prognostic stratificat...

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Autores principales: Wang, Le, Cong, Hong-liang, Zhang, Jing-xia, Li, Xi-ming, Hu, Yue-cheng, Wang, Chen, Lang, Jia-chun, Zhou, Bing-yang, Li, Ting-ting, Liu, Chun-wei, Yang, Hua, Ren, Li-bin, Qi, Wei, Li, Wen-yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9363620/
https://www.ncbi.nlm.nih.gov/pubmed/35966532
http://dx.doi.org/10.3389/fcvm.2022.916085
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author Wang, Le
Cong, Hong-liang
Zhang, Jing-xia
Li, Xi-ming
Hu, Yue-cheng
Wang, Chen
Lang, Jia-chun
Zhou, Bing-yang
Li, Ting-ting
Liu, Chun-wei
Yang, Hua
Ren, Li-bin
Qi, Wei
Li, Wen-yu
author_facet Wang, Le
Cong, Hong-liang
Zhang, Jing-xia
Li, Xi-ming
Hu, Yue-cheng
Wang, Chen
Lang, Jia-chun
Zhou, Bing-yang
Li, Ting-ting
Liu, Chun-wei
Yang, Hua
Ren, Li-bin
Qi, Wei
Li, Wen-yu
author_sort Wang, Le
collection PubMed
description BACKGROUND AND AIMS: Acute coronary syndrome (ACS) without standard modifiable cardiovascular risk factors (SMuRFs) represents a special case of ACS. Multiple biomarkers have been shown to improve risk stratification in patients with ACS. However, the utility of biomarkers for prognostic stratification in patients with ACS without SMuRFs remains uncertain. The aim of the present study was to evaluate the prognostic value of various biomarkers in patents with ACS without SMuRFs. METHODS: Data of consecutive patients with ACS without SMuRFs who underwent coronary angiography in Tianjin Chest Hospital between January 2014 and December 2017 were retrospectively collected. The primary outcome was the occurrence of major adverse cardiovascular event (MACE), defined as a composite of cardiovascular death, myocardial infarction and stroke. Seven candidate biomarkers analyses were analyzed using models adjusted for established risk factors. RESULTS: During a median 5-year follow-up, 81 of the 621 patients experienced a MACE. After adjustment for important covariates, elevated fibrinogen, D-dimer, N-terminal proB-type natriuretic peptide (NT-proBNP), and lipoprotein (a) [Lp(a)] were found to be individually associated with MACE. However, only D-dimer, NT-proBNP and Lp(a) significantly improved risk reclassification for MACE (all P < 0.05). The multimarker analysis showed that there was a clear increase in the risk of MACE with an increasing number of elevated biomarkers and a higher multimarker score. The adjusted hazard ratio- for MACE (95% confidential intervals) for patients with 4 elevated biomarkers was 6.008 (1.9650–18.367) relative to those without any elevated biomarker-. Adding- the 4 biomarkers or the multimarker score to the basic model significantly improved the C-statistic value, the net reclassification index and the integrated discrimination index (all P < 0.05). CONCLUSION: Fibrinogen, D-dimer, NT-proBNP and Lp(a) provided valuable prognostic information for MACE when applied to patients with ACS without SMuRFs. The multimarker strategy, which combined multiple biomarkers reflecting different pathophysiological process with traditional risk factors improved the cardiovascular risk stratification.
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spelling pubmed-93636202022-08-11 Prognostic performance of multiple biomarkers in patients with acute coronary syndrome without standard cardiovascular risk factors Wang, Le Cong, Hong-liang Zhang, Jing-xia Li, Xi-ming Hu, Yue-cheng Wang, Chen Lang, Jia-chun Zhou, Bing-yang Li, Ting-ting Liu, Chun-wei Yang, Hua Ren, Li-bin Qi, Wei Li, Wen-yu Front Cardiovasc Med Cardiovascular Medicine BACKGROUND AND AIMS: Acute coronary syndrome (ACS) without standard modifiable cardiovascular risk factors (SMuRFs) represents a special case of ACS. Multiple biomarkers have been shown to improve risk stratification in patients with ACS. However, the utility of biomarkers for prognostic stratification in patients with ACS without SMuRFs remains uncertain. The aim of the present study was to evaluate the prognostic value of various biomarkers in patents with ACS without SMuRFs. METHODS: Data of consecutive patients with ACS without SMuRFs who underwent coronary angiography in Tianjin Chest Hospital between January 2014 and December 2017 were retrospectively collected. The primary outcome was the occurrence of major adverse cardiovascular event (MACE), defined as a composite of cardiovascular death, myocardial infarction and stroke. Seven candidate biomarkers analyses were analyzed using models adjusted for established risk factors. RESULTS: During a median 5-year follow-up, 81 of the 621 patients experienced a MACE. After adjustment for important covariates, elevated fibrinogen, D-dimer, N-terminal proB-type natriuretic peptide (NT-proBNP), and lipoprotein (a) [Lp(a)] were found to be individually associated with MACE. However, only D-dimer, NT-proBNP and Lp(a) significantly improved risk reclassification for MACE (all P < 0.05). The multimarker analysis showed that there was a clear increase in the risk of MACE with an increasing number of elevated biomarkers and a higher multimarker score. The adjusted hazard ratio- for MACE (95% confidential intervals) for patients with 4 elevated biomarkers was 6.008 (1.9650–18.367) relative to those without any elevated biomarker-. Adding- the 4 biomarkers or the multimarker score to the basic model significantly improved the C-statistic value, the net reclassification index and the integrated discrimination index (all P < 0.05). CONCLUSION: Fibrinogen, D-dimer, NT-proBNP and Lp(a) provided valuable prognostic information for MACE when applied to patients with ACS without SMuRFs. The multimarker strategy, which combined multiple biomarkers reflecting different pathophysiological process with traditional risk factors improved the cardiovascular risk stratification. Frontiers Media S.A. 2022-07-27 /pmc/articles/PMC9363620/ /pubmed/35966532 http://dx.doi.org/10.3389/fcvm.2022.916085 Text en Copyright © 2022 Wang, Cong, Zhang, Li, Hu, Wang, Lang, Zhou, Li, Liu, Yang, Ren, Qi and Li. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cardiovascular Medicine
Wang, Le
Cong, Hong-liang
Zhang, Jing-xia
Li, Xi-ming
Hu, Yue-cheng
Wang, Chen
Lang, Jia-chun
Zhou, Bing-yang
Li, Ting-ting
Liu, Chun-wei
Yang, Hua
Ren, Li-bin
Qi, Wei
Li, Wen-yu
Prognostic performance of multiple biomarkers in patients with acute coronary syndrome without standard cardiovascular risk factors
title Prognostic performance of multiple biomarkers in patients with acute coronary syndrome without standard cardiovascular risk factors
title_full Prognostic performance of multiple biomarkers in patients with acute coronary syndrome without standard cardiovascular risk factors
title_fullStr Prognostic performance of multiple biomarkers in patients with acute coronary syndrome without standard cardiovascular risk factors
title_full_unstemmed Prognostic performance of multiple biomarkers in patients with acute coronary syndrome without standard cardiovascular risk factors
title_short Prognostic performance of multiple biomarkers in patients with acute coronary syndrome without standard cardiovascular risk factors
title_sort prognostic performance of multiple biomarkers in patients with acute coronary syndrome without standard cardiovascular risk factors
topic Cardiovascular Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9363620/
https://www.ncbi.nlm.nih.gov/pubmed/35966532
http://dx.doi.org/10.3389/fcvm.2022.916085
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