1.
Per Med
; 17(3): 175-183, 2020 05 01.
Article
in English
| MEDLINE
| ID: mdl-31984849
ABSTRACT
Aim: This study aimed to explore leukocyte telomere length (LTL) in the prediction of the severity of coronary artery disease (CAD). Materials & methods: 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). Results: 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). Conclusion: LTL could be considered as a potential predictor of the severity of coronary artery in patients with CAD.
Subject(s)
Coronary Artery Disease/physiopathology , Leukocytes/metabolism , Telomere Homeostasis/genetics , Aged , Coronary Angiography/methods , Coronary Artery Disease/genetics , Female , Humans , Male , Middle Aged , ROC Curve , Risk Factors , Severity of Illness Index , Telomere/genetics , Telomere/metabolism , Telomere Homeostasis/physiology
2.
Int J Cardiol
; 168(5): 5061-2, 2013 Oct 12.
Article
in English
| MEDLINE
| ID: mdl-23953258