ABSTRACT
Abstract Objective: We evaluated whether cholesteryl ester transfer protein (CETP) gene polymorphisms are associated with the presence of coronary artery disease (CAD) and/or restenosis in patients with coronary stent. Methods: Two polymorphisms of the CETP gene [−971 A/G (rs4783961), and Taq1B A/G (rs708272)] were genotyped by 5'exonuclease TaqMan assays in 219 patients with CAD (66 patients with restenosis and 153 without restenosis) and 607 control individuals. Results: The distribution of polymorphisms was similar in patients with and without restenosis. However, when the whole group of patients (with and without restenosis) was compared to healthy controls, under dominant model, the G allele of the Taq1B A/G polymorphism was associated with increased risk of CAD (odds ratio [OR] = 1.48, pCDom = 0.032). In the same way, under codominant, dominant, and additive models, the A allele of the −971 A/G polymorphisms was associated with an increased risk of developing CAD (OR = 2.03, pCCo-dom = 0.022, OR = 1.83, pCDom = 0.008, and OR = 1.39, pCAdd = 0.011, respectively). In addition, the linkage disequilibrium showed that the "AG" haplotype was associated with increased risk of developing CAD (OR = 1.28, p = 0.03). Conclusion: This study demonstrates that CETP Taq1B A/G and CETP −971 A/G polymorphisms are associated with an increased risk of developing CAD, but no association with restenosis was observed.
Resumen Objetivo: Evaluamos si los polimorfismos del gen CETP están asociados con la presencia de enfermedad arterial coronaria (EAC) y/o restenosis en pacientes con stent coronario. Métodos: En este estudio se genotiparon dos polimorfismos del gen CETP [−971 A/G (rs4783961) y Taq1B A/G (rs708272)] mediante ensayos de 5'exonucleasa TaqMan en 219 pacientes con EAC (66 pacientes con restenosis y 153 sin restenosis), y 607 individuos de control. Resultados: La distribución de polimorfismos fue similar en pacientes con y sin restenosis. Sin embargo, cuando se comparó todo el grupo de pacientes (con y sin restenosis) con controles sanos, bajo el modelo dominante el alelo G del polimorfismo Taq1B A/G se asocia con un mayor riesgo de EAC (OR = 1.48, pCDom = 0.032). De la misma manera, bajo los modelos co-dominante, dominante y aditivo, el alelo A de los polimorfismos −971 A/G se asocia con un mayor riesgo de desarrollar EAC (OR = 2.03, pCCo-dom = 0.022, OR = 1.83, pCDom = 0,008 y OR = 1.39, pCAdd = 0.011, respectivamente). Adicionalmente, el desequilibrio de ligamiento mostró que el haplotipo "AG" se asocia con un mayor riesgo de desarrollar EAC (OR = 1.28, p = 0.03). Conclusión: En resumen, este estudio demuestra que los polimorfismos CETP Taq1B A/G y CETP −971 A/G están asociados con un mayor riesgo de desarrollar CAD, pero no se observó asociación con restenosis.
ABSTRACT
OBJECTIVES: We sought to identify predictors of in-hospital and long-term (> 1 year) mortality and major adverse cardiac events (MACE) in elderly patients referred for percutaneous coronary intervention (PCI). METHODS: Seventy-three patients (> or = 80 years) were included. Clinical and interventional characteristics were collected retrospectively. Primary end points were in-hospital and long-term mortality, and a composite of non-fatal myocardial infarction, target vessel revascularization, urgent coronary artery bypass graft surgery, and death (MACE). RESULTS: Eighty-three percent of the patients had acute coronary syndromes, 43% three-vessel disease, and 42% heart failure. In-hospital mortality and MACE were 16.4% and 19%, respectively. Long-term mortality and MACE were 11.3% and 16.4%, respectively. Univariate characteristics associated with in-hospital mortality and MACE were: Killip Class III-IV, heart failure, cardiogenic shock, TIMI 0-2 flow prior and after intervention, diabetes mellitus, contrast nephropathy, and presence of A-V block or atrial fibrillation (AF). Long term predictors for mortality were the presence of heart failure, cardiogenic shock, diabetes mellitus, TIMI flow 0-2 before and after intervention, and A-V block or AF. CONCLUSION: The identification of the factors previously mentioned may help to predict complications in elderly patients.