scholarly journals Independent and Combined Effects of Telomere Shortening and mtDNA4977 Deletion on Long-term Outcomes of Patients with Coronary Artery Disease

2019 ◽  
Vol 20 (21) ◽  
pp. 5508 ◽  
Author(s):  
Cecilia Vecoli ◽  
Andrea Borghini ◽  
Silvia Pulignani ◽  
Antonella Mercuri ◽  
Stefano Turchi ◽  
...  

Aging is one of the main risk factors for cardiovascular disease, resulting in a progressive organ and cell decline. This study evaluated a possible joint impact of two emerging hallmarks of aging, leucocyte telomere length (LTL) and common mitochondrial DNA deletion (mtDNA4977), on major adverse cardiovascular events (MACEs) and all-cause mortality in patients with coronary artery disease (CAD). We studied 770 patients (673 males, 64.8 ± 8.3 years) with known or suspected stable CAD. LTL and mtDNA4977 deletion were assessed in peripheral blood using qRT-PCR. During a median follow-up of 5.4 ± 1.2 years, MACEs were 140 while 86 deaths were recorded. After adjustments for confounding risk factors, short LTLs and high mtDNA4977 deletion levels acted independently as predictors of MACEs (HR: 2.2, 95% CI: 1.2–3.9, p = 0.01 and HR: 1.7, 95% CI: 1.1–2.9, p = 0.04; respectively) and all-cause mortality events (HR: 2.1, 95% CI: 1.1–4.6, p = 0.04 and HR: 2.3, 95% CI: 1.1–4.9, p = 0.02; respectively). Patients with both short LTLs and high mtDNA4977 deletion levels had an increased risk for MACEs (HR: 4.3; 95% CI: 1.9–9.6; p = 0.0006) and all-cause mortality (HR: 6.0; 95% CI: 2.0–18.4; p = 0.001). The addition of mtDNA4977 deletion to a clinical reference model was associated with a significant net reclassification improvement (NRI = 0.18, p = 0.01). Short LTL and high mtDNA4977 deletion showed independent and joint predictive value on adverse cardiovascular outcomes and all-cause mortality in patients with CAD. These findings strongly support the importance of evaluating biomarkers of physiological/biological age, which can predict disease risk and mortality more accurately than chronological age.

2020 ◽  
Vol 29 (6) ◽  
pp. 1044-1053 ◽  
Author(s):  
Jie Jiang ◽  
Qiwen Zheng ◽  
Yaling Han ◽  
Shubin Qiao ◽  
Jiyan Chen ◽  
...  

Abstract Evidence of the effects of genetic risk score (GRS) on secondary prevention is scarce and mixed. We investigated whether coronary artery disease (CAD) susceptible loci can be used to predict the risk of major adverse cardiovascular events (MACEs) in a cohort with acute coronary syndromes (ACSs). A total of 1667 patients hospitalized with ACS were enrolled and prospectively followed for a median of 2 years. We constructed a weighted GRS comprising 79 CAD risk variants and investigated the association between GRS and MACE using a multivariable cox proportional hazard regression model. The incremental value of adding GRS into the prediction model was assessed by integrated discrimination improvement (IDI) and decision curve analysis (DCA). In the age- and sex-adjusted model, each increase in standard deviation in the GRS was associated with a 33% increased risk of MACE (hazard ratio: 1.33; 95% confidence interval: 1.10–1.61; P = 0.003), with this association not attenuating after further adjustment for traditional cardiovascular risk factors. The addition of GRS to a prediction model of seven clinical risk factors and EPICOR prognostic model slightly improved risk stratification for MACE as calculated by IDI (+1.7%, P = 0.006; +0.3%, P = 0.024, respectively). DCA demonstrated positive net benefits by adding GRS to other models. GRS was associated with MACE after multivariable adjustment in a cohort comprising Chinese ACS patients. Future studies are needed to validate our results and further evaluate the predictive value of GRS in secondary prevention.


Medicina ◽  
2021 ◽  
Vol 57 (6) ◽  
pp. 605
Author(s):  
Hanna K. Al-Makhamreh ◽  
Mohammed Q. Al-Sabbagh ◽  
Ala’ E. Shaban ◽  
Abdelrahman F. Obiedat ◽  
Ayman J. Hammoudeh

Background and Objectives: Patients with AF are at increased risk for Coronary Artery Disease (CAD) owing to their shared etiologies and risk factors. This study aimed to assess the prevalence, cardiovascular risk factors, and used medications of CAD in AF patients. Materials and Methods: This retrospective, case-control study utilized data from the Jordanian Atrial Fibrillation (Jo-Fib) registry. Investigators collected clinical features, history of co-existing comorbidities, CHA2DS2-VASc, and HAS BLED scores for all AF patients aged >18 visiting 19 hospitals and 30 outpatient cardiology clinics. A multivariable binary logistic regression was used to asses for factors associated with higher odds of having CAD. Results: Out of 2000 patients with AF, 227 (11.35%) had CAD. Compared to the rest of the sample, those with CAD had significantly higher prevalence of hypertension (82.38%; p < 0.01), hypercholesterolemia (66.52%, p < 0.01), diabetes (56.83%, p < 0.01), and smoking (18.06%, p = 0.04). Patients with AF and CAD had higher use of anticoagulants/antiplatelet agents combination (p < 0.01) compared to the rest of the sample. Females had lower CAD risk than males (OR = 0.35, 95% CI: 0.24–0.50). AF Patients with dyslipidemia (OR = 2.5, 95% CI: 1.8–3.4), smoking (OR = 1.7, 95% CI: 1.1–2.6), higher CHA2DS2-VASc score (OR = 1.5, 95% CI: 1.4–1.7), and asymptomatic AF (OR = 1.9, 95% CI: 1.3–2.6) had higher risk for CAD. Conclusions: Owing to the increased prevalence of CAD in patients with AF, better control of cardiac risk factors is recommended for this special group. Future studies should investigate such interesting relationships to stratify CAD risk in AF patients. We believe that this study adds valuable information regarding the prevalence, epidemiological characteristics, and pharmacotherapy of CAD in patients with AF.


2017 ◽  
Vol 39 (2) ◽  
pp. 261-267 ◽  
Author(s):  
Adam L. Ware ◽  
Paul C. Young ◽  
Cindy Weng ◽  
Angela P. Presson ◽  
L. LuAnn Minich ◽  
...  

2021 ◽  
Vol 331 ◽  
pp. e217
Author(s):  
A.S. Ozuynuk ◽  
A.F. Erkan ◽  
N. Dogan ◽  
B. Ekici ◽  
O. Kurmus ◽  
...  

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