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1.
Journal of Korean Medical Science ; : 716-724, 2015.
Artículo en Inglés | WPRIM | ID: wpr-146128

RESUMEN

Conventional coronary angiography (CAG) has limitations in evaluating lesions producing ischemia. Three dimensional quantitative coronary angiography (3D-QCA) shows reconstructed images of CAG using computer based algorithm, the Cardio-op B system (Paieon Medical, Rosh Ha'ayin, Israel). The aim of this study was to evaluate whether 3D-QCA can reliably predict ischemia assessed by myocardial fractional flow reserve (FFR) < 0.80. 3D-QCA images were reconstructed from CAG which also were evaluated with FFR to assess ischemia. Minimal luminal diameter (MLD), percent diameter stenosis (%DS), minimal luminal area (MLA), and percent area stenosis (%AS) were obtained. The results of 3D-QCA and FFR were compared. A total of 266 patients was enrolled for the present study. FFR for all lesions ranged from 0.57 to 1.00 (0.85 +/- 0.09). Measurement of MLD, %DS, MLA, and %AS all were significantly correlated with FFR (r = 0.569, 0609, 0.569, 0.670, respectively, all P < 0.001). In lesions with MLA < 4.0 mm2, %AS of more than 65.5% had a 80% sensitivity and a 83% specificity to predict FFR < 0.80 (area under curve, AUC was 0.878). 3D-QCA can reliably predict coronary lesions producing ischemia and may be used to guide therapeutic approach for coronary artery disease.


Asunto(s)
Anciano , Femenino , Humanos , Masculino , Angiografía Coronaria/métodos , Circulación Coronaria , Estenosis Coronaria/etiología , Reserva del Flujo Fraccional Miocárdico , Imagenología Tridimensional/métodos , Isquemia Miocárdica/complicaciones , Intensificación de Imagen Radiográfica/métodos , Interpretación de Imagen Radiográfica Asistida por Computador/métodos , Reproducibilidad de los Resultados , Sensibilidad y Especificidad
2.
Journal of Preventive Medicine and Public Health ; : 216-229, 2014.
Artículo en Inglés | WPRIM | ID: wpr-62382

RESUMEN

OBJECTIVES: This study aims to investigate trends of cardiovascular disease (CVD) risk factor profiles over 17 years in percutaneous coronary intervention (PCI) patients at the Mayo Clinic. METHODS: We performed a time-trend analysis within the Mayo Clinic PCI Registry from 1994 to 2010. Results were the incidence and prevalence of CVD risk factors as estimate by the Framingham risk score. RESULTS: Between 1994 and 2010, 25 519 patients underwent a PCI. During the time assessed, the mean age at PCI became older, but the gender distribution did not change. A significant trend towards higher body mass index and more prevalent hypercholesterolemia, hypertension, and diabetes was found over time. The prevalence of current smokers remained unchanged. The prevalence of ever-smokers decreased among males, but increased among females. However, overall CVD risk according to the Framingham risk score (FRS) and 10-year CVD risk significantly decreased. The use of most of medications elevated from 1994 to 2010, except for beta-blockers and angiotensin converting enzyme inhibitors decreased after 2007 and 2006 in both baseline and discharge, respectively. CONCLUSIONS: Most of the major risk factors improved and the FRS and 10-year CVD risk declined in this population of PCI patients. However, obesity, history of hypercholesterolemia, hypertension, diabetes, and medication use increased substantially. Improvements to blood pressure and lipid profile management because of medication use may have influenced the positive trends.


Asunto(s)
Anciano , Femenino , Humanos , Masculino , Persona de Mediana Edad , Antagonistas Adrenérgicos beta/uso terapéutico , Factores de Edad , Inhibidores de la Enzima Convertidora de Angiotensina/uso terapéutico , Presión Sanguínea , Índice de Masa Corporal , Enfermedades Cardiovasculares/complicaciones , Complicaciones de la Diabetes , Diabetes Mellitus/diagnóstico , Hipercolesterolemia/complicaciones , Hipertensión/complicaciones , Intervención Coronaria Percutánea/estadística & datos numéricos , Prevalencia , Sistema de Registros/estadística & datos numéricos , Factores de Riesgo , Fumar , Factores de Tiempo
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