This study aimed to explore leukocyte telomere length (LTL) in the prediction of the severity of coronary artery disease (CAD). A total of 359 CAD patients who underwent coronary angiography were enrolled in this study. Severity of coronary artery was assessed by Gensini score (GS). LTL is negatively correlated with GS (Spearman's rank correlation coefficient = -0.335; p < 0.001). Multivariate logistic regression results showed that LTL was an independent predictor of high GS (p = 0.001). Area under the curve value of LTL for predicting high GS was 0.659 (p < 0.001). LTL could be considered as a potential predictor of the severity of coronary artery in patients with CAD.
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| http://dx.doi.org/10.2217/pme-2019-0152 | DOI Listing |
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