Literature DB >> 26481512

Unstable coronary plaque characteristics are associated with high-sensitivity cardiac troponin T and N-terminal Pro-Brain Natriuretic Peptide.

Sibel Altintas1, Eline P M Cardinaels2, Mathijs O Versteylen3, Ivo A Joosen3, Milan Seifert3, Joachim E Wildberger4, Harry J Crijns1, Patricia J Nelemans5, Marja P Van Dieijen-Visser2, Alma M A Mingels6, Marco Das4, Bas L Kietselaer7.   

Abstract

BACKGROUND: Unstable plaque characteristics on coronary CT angiography (CTA), serum high-sensitivity cardiac troponin T (hs-cTnT) and N-terminal Pro-Brain Natriuretic Peptide (NT-proBNP) concentrations are associated with cardiovascular events.
OBJECTIVE: To investigate the association between coronary CTA defined quantifiable plaque characteristics, hs-cTnT and NT-proBNP.
METHODS: 81 consecutive stable chest pain patients with an intermediate-to-high risk were analyzed. Coronary CTA was performed using a 64-slice multidetector-row CT-scanner. Total coronary plaque volume, calcified volume, non-calcified volume, plaque burden, remodeling index (RI) and number of plaques were measured using dedicated software. A total plaque score ("Sum plaque score") incorporating total plaque volume, RI, plaque burden and number of plaques was defined. Hs-cTnT and NT-proBNP concentrations were measured in serum samples before coronary CTA.
RESULTS: Univariate regression analysis demonstrated significant associations of hs-cTnT and NT-proBNP with total plaque volume (r hs-cTnT = .256; r NT-proBNP = .270), calcified volume (r hs-cTnT = .344; r NT-proBNP = .344), RI (r hs-cTnT = .335; r NT-proBNP = .342) and number of plaques (r hs-cTnT = .355; r NT-proBNP = .301) (all P values ≤ .021). Non-calcified plaque volume showed no association with hs-cTnT and NT-proBNP (r hs-cTnT = .050; r NT-proBNP = .087; P value = .660 and P value = .442). The "Sum plaque score" showed the highest correlation compared to other plaque parameters (r hs-cTnT = .362; r NT-proBNP = .409; P value = .001 and P value ≤ .001).
CONCLUSION: Our data suggest that coronary plaque morphology parameters, derived by dedicated software, are associated with serum hs-cTnT and NT-proBNP concentrations.
Copyright © 2016 Society of Cardiovascular Computed Tomography. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Biological markers; Cardiac troponin; Coronary CT angiography; Coronary plaque; Natriuretic peptide; Plaque burden; Plaque quantification; Plaque volume; Quantitative coronary tree analysis

Mesh:

Substances:

Year:  2015        PMID: 26481512     DOI: 10.1016/j.jcct.2015.10.001

Source DB:  PubMed          Journal:  J Cardiovasc Comput Tomogr        ISSN: 1876-861X


  4 in total

1.  Subclinical myocyte injury, fibrosis and strain in relationship to coronary plaque in asymptomatic HIV-infected individuals.

Authors:  Kathleen V Fitch; Christopher DeFilippi; Robert Christenson; Suman Srinivasa; Hang Lee; Janet Lo; Michael T Lu; Kimberly Wong; Eva Petrow; Laura Sanchez; Sara E Looby; Udo Hoffmann; Markella Zanni; Steven K Grinspoon
Journal:  AIDS       Date:  2016-09-10       Impact factor: 4.177

2.  High Sensitivity Troponins Discriminate Different Morphologies of Coronary Artery Plaques Being Assessed by Coronary Computed Tomography Angiography.

Authors:  Jonas Rusnak; Michael Behnes; Nadine Reckord; Ursula Hoffmann; Michèle Natale; Julia Hoffmann; Kathrin Weidner; Siegfried Lang; Agnibh Mukherji; Mathieu Kruska; Thomas Henzler; Stefan O Schoenberg; Martin Borggrefe; Thomas Bertsch; Ibrahim Akin
Journal:  Dis Markers       Date:  2017-07-18       Impact factor: 3.434

3.  Association between serum N-terminal pro-B-type natriuretic peptide levels and characteristics of coronary atherosclerotic plaque detected by coronary computed tomography angiography.

Authors:  Lu Gan; Cong Feng; Chunlei Liu; Shuping Tian; Xiang Song; Li Yang
Journal:  Exp Ther Med       Date:  2016-05-19       Impact factor: 2.447

4.  Low- to high-density lipoprotein cholesterol ratio followed by coronary computed tomography angiography improves coronary plaque classification accuracy.

Authors:  Xiyang Hu; Wei Zhang; Nairui Zhao; Rongcheng Zhao; Shuofeng Li
Journal:  Oncotarget       Date:  2017-12-21
  4 in total

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