Literature DB >> 26742699

Comparison of Inflammatory Biomarkers in Outpatients With Prior Myocardial Infarction.

Masatoshi Minamisawa1, Hirohiko Motoki, Atsushi Izawa, Yuichiro Kashima, Hirofumi Hioki, Naoyuki Abe, Takashi Miura, Soichiro Ebisawa, Yusuke Miyashita, Jun Koyama, Uichi Ikeda.   

Abstract

Inflammatory biomarkers have been proposed for use in the risk stratification of patients with acute myocardial infarction (AMI). We examined the value of inflammatory biomarkers over clinical features for predicting cardiovascular (CV) events in stable outpatients with MI. We enrolled 430 post-MI patients and measured their levels of high-sensitivity C reactive protein (hs-CRP), growth differentiation factor-15 (GDF-15), and the interleukin-1 receptor family member called ST2 (ST2), one month after AMI. Patients were prospectively followed for 3 years. In our study cohort (mean age, 66 ± 12 years; left ventricular ejection fraction, 55 ± 13%), CV events were observed in 39 patients (9.1%). Kaplan- Meier analysis revealed that patients with high levels of GDF-15 (≥ 1221.0 ng/L) showed poorer prognoses than those with low levels of GDF-15 (< 1221.0 ng/L) (20.4% versus 3.6%, P < 0.001); hs-CRP and ST2 did not show a similar correlation with prognoses. GDF-15 remained associated with CV events after adjusting for age, chronic kidney disease, and B-type natriuretic peptide (hazard ratio, 1.001; 95% confidence interval, 1.000 - 1.001; P = 0.046). GDF-15 provided an incremental predictive value for CV events over clinical features (incremental value in global χ(2) = 43.81, P < 0.001). In outpatients with prior MI, GDF-15 was an independent indicator of CV events, unlike hs-CRP and ST2. GDF15 provided an incremental prognostic value over clinical features.

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Year:  2016        PMID: 26742699     DOI: 10.1536/ihj.15-197

Source DB:  PubMed          Journal:  Int Heart J        ISSN: 1349-2365            Impact factor:   1.862


  3 in total

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Authors:  Xianliang Yan; Yanqing Guo; Li Li; Zhixin Wang; Zhizhong Li
Journal:  J Thorac Dis       Date:  2022-05       Impact factor: 3.005

Review 2.  Novel biomarkers for cardiovascular risk prediction.

Authors:  Juan Wang; Guo-Juan Tan; Li-Na Han; Yong-Yi Bai; Miao He; Hong-Bin Liu
Journal:  J Geriatr Cardiol       Date:  2017-02       Impact factor: 3.327

Review 3.  Narrative review of metabolomics in cardiovascular disease.

Authors:  Julian Müller; Thomas Bertsch; Justus Volke; Alexander Schmid; Rebecca Klingbeil; Yulian Metodiev; Bican Karaca; Seung-Hyun Kim; Simon Lindner; Tobias Schupp; Maximilian Kittel; Gernot Poschet; Ibrahim Akin; Michael Behnes
Journal:  J Thorac Dis       Date:  2021-04       Impact factor: 3.005

  3 in total

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