Estimation of Lifetime Risk of Cardiovascular Disease (IBERLIFERISK): A New Tool for Cardiovascular Disease
Carlos Brotons1, Irene Moral1, Diana Fernández1
1Unidad de Investigación, Equipo de Atención Primaria Sardenya, Instituto de Investigación Biomédica Sant Pau (IIB-Sant Pau), Barcelona, Spain; Unidad Docente ACEBA, Barcelona, Spain.
Introduction And Objectives:
To develop a predictive function of lifetime cardiovascular risk, including morbidity and mortality, in a healthy working population in Spain.
Methods:
Retrospective cohort study. We selected healthy workers, aged 18 to 65 years, with no history of cardiovascular disease, who underwent a health assessment between 2004 and 2007. We used 70% of the cohort to develop the risk equation, and the remaining 30% to validate the equation. Four Cox proportional hazards models were constructed using cardiovascular events and competing events as dependent variables. The same models were replicated for men and women separately. Fatal and nonfatal events were assessed until 2014.
Results:
A total of 762 054 individuals were selected. The mean age was 35.48 years and 71.14% were men. Significant risk variables in the model included manual occupations, being a smoker or exsmoker, diabetes mellitus, antihypertensive treatment, systolic blood pressure, total cholesterol, high-density lipoprotein cholesterol, and lipid-lowering treatment; in men, the model also included alcohol consumption, body mass index, a family history of early coronary disease in first-degree relatives, renal failure, and diastolic blood pressure. The area under the curve receiver operating characteristic was 0.84 (95%CI, 0.82-0.85) in men and 0.73 (95%CI, 0.66-0.80) in women. Calibration showed underestimation in low-risk deciles and overestimation in high-risk deciles.
Conclusions:
The new lifetime cardiovascular risk model has satisfactory discrimination and calibration, with better results in men than in women.
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