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Korean Circ J. 2013 Apr;43(4):246-254. English. Original Article.
Assareh A , Haybar H , Yoosefi H , Bozorgmanesh M .
Cardiovascular Research Center, Ahvaz Jundishapur University of Medical Science, Ahvaz, Iran.
Department of Periodontal, Ahvaz Jundishapur University of Medical science, Ahvaz, Iran.
Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

BACKGROUND AND OBJECTIVES: We investigated if a combination of plasma or salivary interleukin-2 (IL-2), interleukin-6 (IL-6), tumor necrosis factor-alpha (TNF-alpha), transforming growth factor-beta (TGF-beta), and troponin can improve estimation of the pretest probability of the left ventricular systolic dysfunction (LVSD). SUBJECTS AND METHODS: Eighty patients with newly-diagnosed myocardial infarction (MI) were echocardiographically examined for LVSD (ejection fraction < or =40%). Measurements included traditional MI risk factors, plasma and salivary concentrations of troponin, IL-2, IL-6, TNF-alpha, and TGF-beta. With the LVSD as the outcome variable, we developed logistic regression models, starting with a basic model incorporating traditional risk factors and consecutively adding salivary and plasma biomarkers. Models were compared using several criteria, including (but not limited to) C statistic (discrimination) and net reclassification improvement index (NRI). RESULTS: Apart from troponin, plasma, and salivary values of the biomarkers were correlated: spearman's rho was 0.19 (p=0.088) for troponin, 0.36 (p=0.001) for IL-2, 0.74 (p<0.001) for IL-6, 0.61 (p<0.001) for TNF-alpha, and 0.65 (p<0.001) for TGF-beta. The predictive performances of the basic model for estimating the pretest probability of the presence of LVSD considerably improved when cytokines were added (salivary added: C-statistic from 0.77 to 0.82 and NRI 77%; plasma added: C-statistic to 0.80 and NRI 134%). CONCLUSION: Multiple biomarkers added diagnostic value to the standard risk factors for predicting the presence of post-MI LVSD.

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