期刊
INTERNATIONAL JOURNAL OF CARDIOLOGY
卷 248, 期 -, 页码 173-178出版社
ELSEVIER IRELAND LTD
DOI: 10.1016/j.ijcard.2017.07.022
关键词
Atrial fibrillation; Atrial fibrosis; Cardiac biomarkers; Inflammatory markers; Brain natriuretic peptide
资金
- Sigrid Juselius Foundation, Helsinki, Finland
- Finnish Foundation for Cardiovascular Research, Helsinki, Finland
Background: The data on biomarkers as predictors of atrial fibrillation (AF) in patients with coronary artery disease (CAD) are limited. Methods: A total of 1946 patients with CAD were recruited to the ARTEMIS study. At baseline, the study patients underwent clinical and echocardiographic examinations and had laboratory tests. The patients (n = 1710) with the information about the occurrence of new-onset AF during the follow-up were included in the present analysis. Results: During 5.7 +/- 1.5 years of follow-up, 143 (8.4%) patients developed a new-onset AF. Higher values of soluble ST2 (sST2) (20.2 +/- 10.8 vs. 17.5 +/- 7.2 ng/mL, p = 0.005), high-sensitivity troponin T (hs-TnT) (11.9 +/- 10.2 vs. 10.3 +/- 8.3 ng/L, p = 0.005), high-sensitivity C-reactive protein (hs-CRP) (3.3 +/- 5.9 vs. 2.0 +/- 4.4 mg/L, p < 0.001) and brain natriuretic peptide (BNP) (85.6 +/- 77.5 vs. 64.9 +/- 73.5 ng/L, p b 0.001) had significant associations with the occurrence of new-onset AF. In the Cox clinical hazards model, higher age (p = 0.004), greater weight (p = 0.045), larger left atrial diameter (p = 0.001), use of asthma/chronic obstructive pulmonary disease medication (p = 0.001) and lack of cholesterol lowering medication (p = 0.008) had a significant associationwith the increased risk of AF. When the biomarkers were tested in the Cox clinical hazards model, sST2 (HR = 1.025, 95% CI = 1.007-1.043, p = 0.006) and hs-CRP (HR = 1.027, 95% CI = 1.008-1.047, p = 0.006) retained their significant power in predicting AF. Conclusion: Abiomarkerof fibrosis, sST2, and a biomarker of inflammation, hs-CRP, predict the risk of occurrence of new-onset AF in patients with CAD. These biomarkers contributed to the discrimination of the AF risk model, but did not improve it markedly. (C) 2017 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据