• Mónica Acevedo, Giovanna Valentino, Verónica Kramer, María José Bustamante, Marcela Adasme, Lorena Orellana, Fernando Baraona, and Carlos Navarrete.
• División de Enfermedades Cardiovasculares, Escuela de Medicina, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile, macevedo@med.puc.cl.
• Rev Med Chil. 2017 Mar 1; 145 (3): 292-298.

BackgroundRecently, the American College of Cardiology and American Heart Association (ACC/AHA) proposed a new cardiovascular risk (CV) score.AimTo evaluate the new risk score (ACC/AHA 2013) in a Chilean population.Material And MethodsBetween 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 3,284 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.ResultsThe 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.ConclusionsThe new ACC/AHA 2013 score, is better than traditional FRAM and Chilean FRAM scores in predicting cardiovascular mortality in a low risk population.

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