A92 JACC March 17, 2015 Volume 65, Issue 10S
Acute Coronary Syndromes Telomere Length Is an Independent Predictor of Disease Severity in Older Patients Presenting with Non-ST Elevation Acute Coronary Syndrome Poster Contributions Poster Hall B1 Saturday, March 14, 2015, 3:45 p.m.-4:30 p.m. Session Title: Insights from Subgroups: Age, Gender and Diabetes Abstract Category: 2. Acute Coronary Syndromes: Clinical Presentation Number: 1138-071 Authors: Jonathan Adam Batty, Meedya Sharifpour, Murugapathy Veerasamy, Hannah Sinclair, Dermot Neely, Carmen Martin-Ruiz, Gabriele Saretzki, Vijayalakshmi Kunadian, Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, United Kingdom, Freeman Hospital, Newcastle upon Tyne, United Kingdom
Background: Although telomere length (TL) is a proposed biomarker for coronary artery disease (CAD) and a determinant of interindividual differences in cardiovascular ageing, few data exist regarding the clinical significance of telomere attrition in older patients presenting with non-ST-elevation acute coronary syndrome (NSTEACS). This study evaluated the association of TL with CAD severity in such individuals.
Methods: DNA was extracted from peripheral blood mononuclear cells, obtained from patients ≥ 75 year-old, admitted for invasive management of NSTEACS. Analysis of mean TL was performed using a quantitative polymerase chain reaction-based assay. Angiographic CAD severity was evaluated using the SYNTAX Score.
Results: 54 patients (mean age 81.1; 56% male) had a median ± interquartile range TL of 2386 ± 1042 base pairs. TL was not significantly associated with conventional cardiovascular risk factors (age, gender, smoking status, hypertension, diabetes; p > 0.05) or frailty (p = 0.39). However, natural log-transformed TL was associated with SYNTAX Score in unadjusted analysis (Figure 1), and following multivariate adjustment for conventional risk factors (age, diabetes, hypertension) and frailty (p = 0.007).
Conclusion: Telomere attrition is a significant, independent predictor of CAD severity among older patients. Further, longitudinal studies are required to evaluate long-term prognostic implications, and elucidate the key biological processes underlying these effects.