Key result
Shorter leukocyte telomere length independently predicts higher CAD severity.
Why the study?
The study was conducted to explore the role of leukocyte telomere length in predicting the severity of coronary artery disease.
Does leukocyte telomere length predict the severity of coronary artery disease in patients undergoing coronary angiography?
Observational (n=359)
Does leukocyte telomere length predict the severity of coronary artery disease in patients undergoing coronary angiography?
Leukocyte telomere length is inversely correlated with angiographic coronary artery disease severity and may serve as a potential biomarker.
Answers are grounded in this paper and cite their sources.
May aid CAD severity stratification; hypothesis-generating and requires prospective validation before clinical adoption.
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.
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Sun et al. (2020) conducted an observational in Coronary artery disease (n=359). Leukocyte telomere length (LTL) was evaluated on Severity of coronary artery disease assessed by Gensini score (GS) (AUC 0.659, p=<0.001). Leukocyte telomere length was negatively correlated with Gensini score (r = -0.335) and independently predicted high coronary artery disease severity (AUC 0.659; p < 0.001).
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