Clusters of Cardiovascular Risk Factors and Their Impact on the 20-Year Cardiovascular Risk in a General Population.

BACKGROUND: Clustering of cardiovascular risk factors (CVRFs) is extraordinarily common and is associated with an increased risk of cardiovascular disease (CVD). However, the particular impact of the sum of CVRFs on cardiovascular morbidity and mortality has not been sufficiently explored in Europe. OBJECTIVE: The aim of this study was to analyze the differences in survival-free probability of CVD in relation to the number of CVRFs in a Spanish population. METHODS: A prospective cohort study was conducted from 1992 to 2016 in a Spanish population that included 1144 subjects with no history of CVD (mean age, 46.7 years) drawn from the general population. We calculated the number of CVRFs for each subject (male sex, smoking, diabetes, hypertension, dyslipidemia, obesity, and left ventricular hypertrophy). Cardiovascular morbidity and mortality records were collected, and survival analysis was applied (competing risk models). RESULTS: There were 196 cardiovascular events (17.1%). The differences in total survival-free probability of cardiovascular morbidity and mortality of the different values of the sum of CVRFs were significant, increasing the risk of CVD (hazard ratio, 1.30; 95% confidence interval, 1.13-1.50) per each additional risk factor. CONCLUSION: Differences in survival-free probability of CVD in relation to the number of CVRFs present were statistically significant. Further studies are needed to corroborate our results.

Prognostic value of obesity on both overall mortality and cardiovascular disease in the general population.

BACKGROUND: Obesity represents an important health problem and its association with cardiovascular risk factors is well-known. The aim of this work was to assess the correlation between obesity and mortality (both, all-cause mortality and the combined variable of all-cause mortality plus the appearance of a non-fatal first cardiovascular event) in a general population sample from the south-east of Spain. MATERIALS AND METHODS: This prospective cohort study used stratified and randomized two-stage sampling. Obesity [body mass index (BMI) ≥ 30 kg/m(2)] as a predictive variable of mortality and cardiovascular events was assessed after controlling for age, sex, cardiovascular disease history, high blood pressure, diabetes mellitus, hypercholesterolemia, high-density lipoprotein/triglycerides ratio, total cholesterol and smoking with the Cox regression model. RESULTS: The mean follow-up time of the 1,248 participants was 10.6 years. The incidence of all-cause mortality during this period was 97 deaths for every 10,000 person/years (95% CI: 80-113) and the incidence of all-cause mortality+cardiovascular morbidity was 143 cases for every 10,000 person/years (95% CI: 124-163). A BMI ≥ 35 kg/m(2) yielded a hazard ratio for all-cause mortality of 1.94 (95% CI: 1.11-3.42) in comparison to non-obese subjects (BMI <30 kg/m(2)). For the combination of cardiovascular morbidity plus all-cause mortality, a BMI ≥ 35 kg/m(2) had a hazard ratio of 1.84 (95% CI: 1.15-2.93) compared to non-obese subjects. CONCLUSIONS: A BMI ≥ 35 kg/m(2) is an important predictor of both overall mortality and of the combination of cardiovascular morbidity plus all-cause mortality.

Framingham risk score for prediction of cardiovascular diseases: a population-based study from southern Europe.

BACKGROUND: The question about what risk function should be used in primary prevention remains unanswered. The Framingham Study proposed a new algorithm based on three key ideas: use of the four risk factors with the most weight (cholesterol, blood pressure, diabetes and smoking), prediction of overall cardiovascular diseases and incorporating the concept of vascular age. The objective of this study was to apply this new function in a cohort of the general non Anglo-Saxon population, with a 10-year follow-up to determine its validity. METHODS: The cohort was studied in 1992-94 and again in 2004-06. The sample comprised 959 randomly-selected persons, aged 30-74 years, who were representative of the population of Albacete, Spain. At the first examination cycle, needed data for the new function were collected and at the second examination, data on all events were recorded during the follow-up period. Discrimination was studied with ROC curves. Comparisons of prediction models and reality in tertiles (Hosmer-Lemeshow) were performed, and the individual survival functions were calculated. RESULTS: The mean risks for women and men, respectively, were 11.3% and 19.7% and the areas under the ROC curve were 0.789 (95%CI, 0.716-0.863) and 0.780 (95%CI, 0.713-0.847) (P<0.001, both). Cardiovascular disease events occurred in the top risk tertiles. Of note were the negative predictive values in both sexes, and a good specificity in women (85.6%) and sensitivity in men (79.1%) when their risk for cardiovascular disease was high. This model overestimates the risk in older women and in middle-aged men. The cumulative probability of individual survival by tertiles was significant in both sexes (P<0.001). CONCLUSIONS: The results support the proposal for "reclassification" of Framingham. This study, with a few exceptions, passed the test of discrimination and calibration in a random sample of the general population from southern Europe.

[Relationship between inflammation marker and all-cause and cardiovascular mortality in a prospective cohort study]. / Relación entre el proceso inflamatorio y la mortalidad de origen cardiovascular y por todas las causas en un estudio de cohortes prospectivo de base poblacional.

INTRODUCTION: Inflammation is present in every stage of the atherosclerosis process, therefore, inflammation hallmarks such as the fibrinogen can be related to the complications in which it intervenes, mortality is one of them. The objective of this study is to assess the association of the fibrinogen with all-cause mortality in men from general population sample obtained by random sampling in the Spanish region of Albacete. METHODS: A total of 506men without cardiovascular events with 10.6years (SD=2.3) of follow-up, volunteered to participate in a prospective cohort study. The assessment of the fibrinogen as a predictor variable has been calculated after adjusting it by age, hypertension, diabetes mellitus, obesity, total cholesterol, HDL-cholesterol/triglycerides ratio, and smoking habit applying a Cox regression model. The adjustment has been made by adding the fibrinogen to the model, as a qualitative variable (<400 and ≥400mg/dl). RESULTS: The average age of the participants was 46.6years old (DE=16.8). After the adjustment, the hyperfibrinogenemia (≥400mg/dl) showed a hazard ratio (HR) for all-cause mortality of 1.85 (95%CI: 1.05-3.26) and for cardiovascular mortality HR=2.69 (95%CI: 1.09-6.63). CONCLUSIONS: In men without cardiovascular events of our study, fibrinogen was showed as an independent predictor of all-cause mortality and cardiovascular mortality.