María Jesús Guembe

Factores de riesgo cardiovascular en España en la primera década del siglo xxi: análisis agrupado con datos individuales de 11 estudios de base poblacional, estudio DARIOS ☆

INTRODUCTION AND OBJECTIVES To estimate the prevalence of cardiovascular risk factors in individuals aged 35-74 years in 10 of Spains autonomous communities and determine the geographic variation of cardiovascular risk factors distribution. METHODS Pooled analysis with individual data from 11 studies conducted in the first decade of the 21st century. The average response rate was 73%. Lipid profile (with laboratory cross-validation), glucose level, blood pressure, waist circumference, height, and weight were measured and standard questionnaires administered. Age-standardized prevalence of smoking, diabetes, hypertension, dyslipidemia, and obesity in the European population were calculated. Furthermore, the coefficient of variation between component studies was determined for the prevalence of each risk factor. RESULTS In total, 28,887 participants were included. The most prevalent cardiovascular risk factors were high blood pressure (47% in men, 39% in women), total cholesterol ≥ 250 mg/dL (43% and 40%, respectively), obesity (29% and 29%, respectively), tobacco use (33% and 21%, respectively), and diabetes (16% and 11%, respectively). Total cholesterol ≥ 190 and ≥ 250 mg/dL were the respective minimum and maximum coefficients of variation (7%-24% in men, 7%-26% in women). Average concordance in lipid measurements between laboratories was excellent. CONCLUSIONS Prevalence of high blood pressure, dyslipidemia, obesity, tobacco use and diabetes is high. Little variation was observed between autonomous communities in the population aged 35-74 years. However, presence of the most prevalent cardiovascular risk factors in the Canary Islands, Extremadura and Andalusia was greater than the mean of the 11 studies.

Síndrome metabólico en España: prevalencia y riesgo coronario asociado a la definición armonizada y a la propuesta por la OMS. Estudio DARIOS

INTRODUCTION AND OBJECTIVES To update the prevalence of metabolic syndrome and associated coronary risk in Spain, using the harmonized definition and the new World Health Organization proposal (metabolic premorbid syndrome), which excludes diabetes mellitus and cardiovascular disease. METHODS Individual data pooled analysis study of 24,670 individuals from 10 autonomous communities aged 35 to 74 years. Coronary risk was estimated using the REGICOR function. RESULTS Prevalence of metabolic syndrome was 31% (women 29% [95% confidence interval, 25%-33%], men 32% [95% confidence interval, 29%-35%]). High blood glucose (P=.019) and triglycerides (P<.001) were more frequent in men with metabolic syndrome, but abdominal obesity (P<.001) and low high-density lipoprotein cholesterol (P=.001) predominated in women. Individuals with metabolic syndrome showed moderate coronary risk (8% men, 5% women), although values were higher (P<.001) than in the population without the syndrome (4% men, 2% women). Women and men with metabolic syndrome had 2.5 and 2 times higher levels of coronary risk, respectively (P<.001). Prevalence of metabolic premorbid syndrome was 24% and the increase in coronary risk was also proportionately larger in women than in men (2 vs 1.5, respectively; P<.001). CONCLUSIONS Prevalence of metabolic syndrome is 31%; metabolic premorbid syndrome lowers this prevalence to 24% and delimits the population for primary prevention. The increase in coronary risk is proportionally larger in women, in both metabolic syndrome and metabolic premorbid syndrome.

Tratamiento y control de los factores de riesgo según el riesgo coronario en la población española del estudio DARIOS

INTRODUCTION AND OBJECTIVES The treatment and control of cardiovascular risk factors both play key roles in primary prevention. The aim of the present study is to analyze the proportion of primary prevention patients aged 35-74 years being treated and controlled in relation to their level of coronary risk. METHODS Pooled analysis with individual data from 11 studies conducted in the first decade of the 21st century. We used standardized questionnaires and blood pressure measures, glycohemoglobin and lipid profiles. We defined optimal risk factor control as blood pressure < 140/90 mm Hg and glycohemoglobin <7%. In hypercholesterolemia, we applied both the European Societies and Health Prevention and Promotion Activities Programme criteria. RESULTS We enrolled 27 903 participants (54% women). Drug treatments were being administered to 68% of men and 73% of women with a history of hypertension (P<.001), 66% and 69% respectively, of patients with diabetes (P=.03), and 39% and 42% respectively, of those with hypercholesterolemia (P<.001). Control was good in 34% of men and 42% of women with hypertension (P<.001); 65% and 63% respectively, of those with diabetes (P=.626); 2% and 3% respectively, of patients with hypercholesterolemia according to European Societies criteria (P=.092) and 46% and 52% respectively, of those with hypercholesterolemia according to Health Prevention and Promotion Activities Programme criteria (P<.001). The proportion of uncontrolled participants increased with coronary risk (P<.001), except in men with diabetes. Lipid-lowering treatments were more often administered to women with ≥ 10% coronary risk than to men (59% vs. 50%, P = 0,024). [corrected] CONCLUSIONS The proportion of well-controlled participants was 65% at best. The European Societies criteria for hypercholesterolemia were vaguely reached. Lipid-lowering treatment is not prioritized in patients at high coronary risk.

Derivation and validation of a set of 10-year cardiovascular risk predictive functions in Spain: The FRESCO Study

OBJECTIVE To derive and validate a set of functions to predict coronary heart disease (CHD) and stroke, and validate the Framingham-REGICOR function. METHOD Pooled analysis of 11 population-based Spanish cohorts (1992-2005) with 50,408 eligible participants. Baseline smoking, diabetes, systolic blood pressure (SBP), lipid profile, and body mass index were recorded. A ten-year follow-up included re-examinations/telephone contact and cross-linkage with mortality registries. For each sex, two models were fitted for CHD, stroke, and both end-points combined: model A was adjusted for age, smoking, and body mass index and model B for age, smoking, diabetes, SBP, total and HDL cholesterol, and for hypertension treatment by SBP, and age by smoking and by SBP interactions. RESULTS The 9.3-year median follow-up accumulated 2973 cardiovascular events. The C-statistic improved from model A to model B for CHD (0.66 to 0.71 for men; 0.70 to 0.74 for women) and the combined CHD-stroke end-points (0.68 to 0.71; 0.72 to 0.75, respectively), but not for stroke alone. Framingham-REGICOR had similar C-statistics but overestimated CHD risk. CONCLUSIONS The new functions accurately estimate 10-year stroke and CHD risk in the adult population of a typical southern European country. The Framingham-REGICOR function provided similar CHD prediction but overestimated risk.

Risk of Cause-Specific Death in Individuals With Diabetes: A Competing Risks Analysis.

OBJECTIVE Diabetes is a common cause of shortened life expectancy. We aimed to assess the association between diabetes and cause-specific death. RESEARCH DESIGN AND METHODS We used the pooled analysis of individual data from 12 Spanish population cohorts with 10-year follow-up. Participants had no previous history of cardiovascular diseases and were 35–79 years old. Diabetes status was self-reported or defined as glycemia >125 mg/dL at baseline. Vital status and causes of death were ascertained by medical records review and linkage with the official death registry. The hazard ratios and cumulative mortality function were assessed with two approaches, with and without competing risks: proportional subdistribution hazard (PSH) and cause-specific hazard (CSH), respectively. Multivariate analyses were fitted for cardiovascular, cancer, and noncardiovascular noncancer deaths. RESULTS We included 55,292 individuals (15.6% with diabetes and overall mortality of 9.1%). The adjusted hazard ratios showed that diabetes increased mortality risk: 1) cardiovascular death, CSH = 2.03 (95% CI 1.63–2.52) and PSH = 1.99 (1.60–2.49) in men; and CSH = 2.28 (1.75–2.97) and PSH = 2.23 (1.70–2.91) in women; 2) cancer death, CSH = 1.37 (1.13–1.67) and PSH = 1.35 (1.10–1.65) in men; and CSH = 1.68 (1.29–2.20) and PSH = 1.66 (1.25–2.19) in women; and 3) noncardiovascular noncancer death, CSH = 1.53 (1.23–1.91) and PSH = 1.50 (1.20–1.89) in men; and CSH = 1.89 (1.43–2.48) and PSH = 1.84 (1.39–2.45) in women. In all instances, the cumulative mortality function was significantly higher in individuals with diabetes. CONCLUSIONS Diabetes is associated with premature death from cardiovascular disease, cancer, and noncardiovascular noncancer causes. The use of CSH and PSH provides a comprehensive view of mortality dynamics in a population with diabetes.

Metabolic and Inflammatory Profiles of Biomarkers in Obesity, Metabolic Syndrome, and Diabetes in a Mediterranean Population. DARIOS Inflammatory Study

INTRODUCTION AND OBJECTIVES There is a paucity of data regarding the differences in the biomarker profiles of patients with obesity, metabolic syndrome, and diabetes mellitus as compared to a healthy, normal weight population. We aimed to study the biomarker profile of the metabolic risk continuum defined by the transition from normal weight to obesity, metabolic syndrome, and diabetes mellitus. METHODS We performed a pooled analysis of data from 7 cross-sectional Spanish population-based surveys. An extensive panel comprising 20 biomarkers related to carbohydrate metabolism, lipids, inflammation, coagulation, oxidation, hemodynamics, and myocardial damage was analyzed. We employed age- and sex-adjusted multinomial logistic regression models for the identification of those biomarkers associated with the metabolic risk continuum phenotypes: obesity, metabolic syndrome, and diabetes mellitus. RESULTS A total of 2851 subjects were included for analyses. The mean age was 57.4 (8.8) years, 1269 were men (44.5%), and 464 participants were obese, 443 had metabolic syndrome, 473 had diabetes mellitus, and 1471 had a normal weight (healthy individuals). High-sensitivity C-reactive protein, apolipoprotein B100, leptin, and insulin were positively associated with at least one of the phenotypes of interest. Apolipoprotein A1 and adiponectin were negatively associated. CONCLUSIONS There are differences between the population with normal weight and that having metabolic syndrome or diabetes with respect to certain biomarkers related to the metabolic, inflammatory, and lipid profiles. The results of this study support the relevance of these mechanisms in the metabolic risk continuum. When metabolic syndrome and diabetes mellitus are compared, these differences are less marked.

On the problem of type 2 diabetes-related mortality in the Canary Islands, Spain. The DARIOS Study

AIMS To compare diabetes-related mortality rates and factors associated with this disease in the Canary Islands compared with other 10 Spanish regions. METHODS In a cross-sectional study of 28,887 participants aged 35-74 years in Spain, data were obtained for diabetes, hypertension, dyslipidemia, obesity, insulin resistance (IR), and metabolic syndrome. Healthcare was measured as awareness, treatment and control of diabetes, dyslipidemia, and hypertension. Standardized mortality rate ratios (SRR) were calculated for the years 1981 to 2011 in the same regions. RESULTS Diabetes, obesity, and hypertension were more prevalent in people under the age of 64 in the Canary Islands than in Spain. For all ages, metabolic syndrome and insulin resistance (IR) were also more prevalent in those from the Canary Islands. Healthcare parameters were similar in those from the Canary Islands and the rest of Spain. Diabetes-related mortality in the Canary Islands was the highest in Spain since 1981; the maximum SRR was reached in 2011 in men (6.3 versus the region of Madrid; p<0.001) and women (9.5 versus Madrid; p<0.001). Excess mortality was prevalent from the age of 45 years and above. CONCLUSIONS Diabetes-related mortality is higher in the Canary Islands population than in any other Spanish region. The high mortality and prevalence of IR warrants investigation of the genetic background associated with a higher incidence and poor prognosis for diabetes in this population. The rise in SRR calls for a rapid public health policy response.

The influence of obesity on the assessment of carotid intima‐media thickness

The assessment of carotid intima‐media thickness (CIMT) may improve cardiovascular risk prediction. The optimal protocol for CIMT measurement is unclear. CIMT may be measured in the common carotid artery (CCA), carotid bifurcation (CB), and internal carotid artery (ICA), but measurements from CB and ICA are more difficult to obtain. We studied the influence of body mass index (BMI) and atheroma plaques on the capacity to obtain CIMT measurements at different carotid sites.

Interaction between cardiovascular risk factors and body mass index and 10-year incidence of cardiovascular disease, cancer death, and overall mortality

The effect of above-normal body mass index (BMI) on health outcomes is controversial because it is difficult to distinguish from the effect due to BMI-associated cardiovascular risk factors. The objective was to analyze the impact on 10-year incidence of cardiovascular disease, cancer deaths and overall mortality of the interaction between cardiovascular risk factors and BMI. We conducted a pooled analysis of individual data from 12 Spanish population cohorts with 10-year follow-up. Participants had no previous history of cardiovascular diseases and were 35-79years old at basal examination. Body mass index was measured at baseline being the outcome measures ten-year cardiovascular disease, cancer and overall mortality. Multivariable analyses were adjusted for potential confounders, considering the significant interactions with cardiovascular risk factors. We included 54,446 individuals (46.5% with overweight and 27.8% with obesity). After considering the significant interactions, the 10-year risk of cardiovascular disease was significantly increased in women with overweight and obesity [Hazard Ratio=2.34 (95% confidence interval: 1.19-4.61) and 5.65 (1.54-20.73), respectively]. Overweight and obesity significantly increased the risk of cancer death in women [3.98 (1.53-10.37) and 11.61 (1.93-69.72)]. Finally, obese men had an increased risk of cancer death and overall mortality [1.62 (1.03-2.54) and 1.34 (1.01-1.76), respectively]. In conclusion, overweight and obesity significantly increased the risk of cancer death and of fatal and non-fatal cardiovascular disease in women; whereas obese men had a significantly higher risk of death for all causes and for cancer. Cardiovascular risk factors may act as effect modifiers in these associations.

Adaptation of the Framingham-Wilson Coronary Risk Equation for the Population of Navarra (RICORNA)

INTRODUCTION AND OBJECTIVES The Framingham equations overestimate the risk of coronary disease in populations with a low disease incidence. It is more appropriate to take the local populations characteristics into account when estimating coronary risk. Accordingly, the Framingham-Wilson equation has been adapted for the population of Navarra, Spain. This article presents 10-year overall coronary risk charts. METHODS The Framingham-Wilson equation was adapted using data on the prevalence of cardiovascular risk factors and the coronary event rate in the population of Navarra. The version of the Framingham-Wilson equation used included high-density lipoprotein cholesterol (HDL-C). The probability of an event at 10 years for different combinations of risk factors, with an HDL-C concentration of 35-59 mg/dL, are illustrated. RESULTS Using the Framingham equation adapted for Navarra (i.e., the RICORNA or Riesgo Coronario Navarra), the proportion with an estimated probability of a coronary event in the next 10 years greater than 9% is approximately half that in the original Framingham population, and the proportion with a high or very high probability (i.e., 20%) is one-third. An HDL-C level <35 mg/dL increases the risk by 50% and a level > or =60 mg/dL reduces it by 50%, approximately. The average HDL-C level observed in the population was 63.9 mg/dL overall, and 70.1 mg/dL in women. CONCLUSIONS The RICORNA equation can provide a more precise estimate of overall coronary risk and could be useful in primary disease prevention in Navarra. The high HDL-C concentration observed in Navarra might contribute to the associated low coronary morbidity and mortality.