Superioridad del nuevo puntaje de riesgo ACC/AHA 2013 por sobre el puntaje de Framingham tradicional, en la predicción de riesgo de mortalidad en Santiago

Mónica Acevedo, Giovanna Valentino, Verónica Kramer, María José Bustamante, Marcela Adasme, Lorena Orellana, Fernando Baraona, Carlos Navarrete


Background: Recently, the American College of Cardiology and American Heart Association (ACC/AHA) proposed a new cardiovascular risk (CV) score. Aim: To evaluate the new risk score (ACC/AHA 2013) in a Chilean population. Material and methods: Between 2002 and 2014, body mass index (BMI), waist circumference, blood pressure, lipid profile and fasting blood glucose levels were measured and a survey about CV risk factors was responded by 3284 subjects aged 40 to 79 years (38% females), living in urban Santiago. ACC/AHA 2013, FRAM and Chilean FRAM scores were calculated. All-cause mortality was determined in July 2014 by consulting the death Registry of the Chilean Identification Service, with an average follow up of 7 ± 3 years. Results: The prevalence of risk factors were 78% for dyslipidemia, 37% for hypertension, 20% for smoking, 7% for diabetes, 20% for obesity and 54% for physical inactivity. The mean FRAM, Chilean FRAM and ACC/AHA scores were 8, 3 and 9%, respectively. During follow-up, 94 participants died and 34 deaths were of cardiovascular cause. Participants who died had a higher prevalence of hypertension (p<0.01) and diabetes (p<0. 01) and tended to be older (p=0.06). The FRAM score for 10 years for deceased and surviving patients was 12 and 8%, respectively (p = NS). The figures for the Chilean FRAM were 5 and 2%, respectively (p=0. 09). The figures for the ACC/AHA 2013 score were 33 and 9%, respectively (p =0.04). According to receiver operating characteristic curves, ACC/AHA 2013 had a higher area under de curve for CV mortality than FRAM and Chilean FRAM. Conclusions: The new ACC / AHA 2013 score, is better than traditional FRAM and Chilean FRAM scores in predicting cardiovascular mortality in a low risk population.

Palabras clave

Decision Support Techniques; Forecasting; Mortality; Risk Factors

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