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BACKGROUND: We aimed to determine the prevalence and course of subthreshold depressive symptomatology (sDS) and probable major depressive episode (MDE) and to examine their association with personality traits among men and women. METHODS: A community-based sample aged 35 years or older was examined in two waves (median follow-up of 6.9 years). The Patient Health Questionnaire-9 (PHQ-9) was used to assess sDS and MDE. The 10-item version of the Big Five Inventory was used to assess personality traits. Prevalence was assessed at baseline (n = 5,557) and incidence and persistence-recurrence rates were computed at follow up (n = 3,102). Logistic regression models were adjusted to explore the association of personality traits with prevalence and course of depressive disorders. RESULTS: The prevalence of sDS and MDE was 14.04% (95% CI = 17.04-19.08) and 8.54 (95% CI=7.82-9.31), the incidence was 14.30 per 1,000 person-years (95% CI=12.49-16.31) and 4.34 per 1,000 person-years (95% CI=3.46-5.36), and the persistence-recurrence was 35.04 per 1,000 person-years (95% CI=29.00-41.96) and 28.8 per 1,000 person-years (95% CI=20.49-38.14). The gender gap was higher for MDE. Personality traits were differentially associated with the prevalence and course of depressive disorders between men and women. LIMITATIONS: Because this study used questionnaires to assess depressive disorders and personality traits, information bias could not be ruled out. CONCLUSIONS: The gender gap was higher for the prevalence and course of the probable MDE. There were more personality traits related with the course of the sDS and they had a major role in the course of the probable MDE in women.

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Introducción y objetivos. Determinar la distribución de la práctica de actividad física y la prevalencia de sedentarismo, su tendencia y las variables asociadas en la población de 35-74 años de Girona en el periodo 1995-2005. Métodos. Análisis de tres estudios transversales independientes de la población de 35-74 años de Girona realizados en 1995 (n=1.419), 2000 (n=2.499) y 2005 (n=5.628). La actividad física se recogió mediante el cuestionario de actividad física en el tiempo libre de Minnesota. Se definió el sedentarismo como: gasto energético en actividad física moderada (4-5,5 MET) < 675kcal/semana o < 420kcal/semana en actividad física intensa (≥ 6 MET). Para determinar las variables asociadas al sedentarismo, se utilizó un modelo de regresión logística. Resultados. Las prevalencias de sedentarismo estandarizadas por edad fueron del 53,8, el 39,5 y el 32,6% en 1995, 2000 y 2005 respectivamente. La prevalencia de sedentarismo ha disminuido durante el periodo, especialmente en mujeres de más de 50 años residentes en áreas urbanas. Se observó un incremento de la actividad física ligera y moderada en los varones mayores de 50 años y de la actividad física ligera en las mujeres mayores de 50 años. Las variables asociadas a mayor prevalencia de sedentarismo fueron: el sexo femenino, la edad, el consumo de tabaco y el menor nivel de estudios. Conclusiones. La prevalencia de sedentarismo ha disminuido, especialmente entre las mujeres del área urbana, pero continúa siendo elevada. La promoción de actividad física debe ser un elemento importante de las campañas de prevención y debe tener en cuenta las desigualdades sociales y de sexo existentes (AU)

Introduction and objectives. The aims of the study were: to describe the distribution of physical activity practice; to determine the prevalence and trends of sedentary lifestyle in the population aged 35 to 74 years of Girona in the 1995-2005 period; and to identify the variables associated to sedentary lifestyle at the population level. Methods. Data from three independent population-based cross-sectional studies undertaken in 1995 (n=1419), 2000 (n=2499), and 2005 (n=5628) were analyzed. Physical activity was measured using the Minnesota Leisure Time Physical Activity questionnaire. Sedentary lifestyle was defined as an energy expenditure in moderate physical activity (4-5.5 METs) <675 kcal/week or <420 kcal/week in intense physical activity (≥6 METs). Logistic regression was used to determine the variables associated with sedentary lifestyle. Results. The age-standardized prevalence of sedentary lifestyle was 53.8%, 39.5%, and 32.6% in 1995, 2000, and 2005 respectively. The prevalence of sedentary lifestyle has decreased especially in women older than 50 years living in the urban areas. An increase in light and moderate physical activity practice in men older than 50 years and in light physical activity practice in women older than 50 years was observed. Female gender, age, smoking and lower educational level were associated with a higher prevalence of sedentary lifestyle. Conclusions. Prevalence of sedentary lifestyle has decreased in the 1995-2005 period in Girona, especially in women, but is still high. Health promotion programs should include physical activity practice as a key element and should take into account gender and social inequalities (AU)

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INTRODUCTION AND OBJECTIVES: The aims of the study were: to describe the distribution of physical activity practice; to determine the prevalence and trends of sedentary lifestyle in the population aged 35 to 74 years of Girona in the 1995-2005 period; and to identify the variables associated to sedentary lifestyle at the population level. METHODS: Data from three independent population-based cross-sectional studies undertaken in 1995 (n=1419), 2000 (n=2499), and 2005 (n=5628) were analyzed. Physical activity was measured using the Minnesota Leisure Time Physical Activity questionnaire. Sedentary lifestyle was defined as an energy expenditure in moderate physical activity (4-5.5 METs) <675 kcal/week or <420 kcal/week in intense PA (≥ 6 METs). Logistic regression was used to determine the variables associated with sedentary lifestyle. RESULTS: The age-standardized prevalence of sedentary lifestyle was 53.8%, 39.5%, and 32.6% in 1995, 2000, and 2005 respectively. The prevalence of sedentary lifestyle has decreased especially in women older than 50 years living in the urban areas. An increase in light and moderate physical activity practice in men older than 50 years and in light physical activity practice in women older than 50 years was observed. Female gender, age, smoking and lower educational level were associated with a higher prevalence of sedentary lifestyle. CONCLUSIONS: Prevalence of sedentary lifestyle has decreased in the 1995-2005 period in Girona, especially in women, but is still high. Health promotion programs should include physical activity practice as a key element and should take into account gender and social inequalities.

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One monitoring station is insufficient to characterize the high spatial variation of traffic-related heavy metals within cities. We tested moss bags (Hylocomium splendens), deployed in a dense network, for the monitoring of metals in outdoor air and characterized metals' long-term spatial distribution and its determinants in Girona, Spain. Mosses were exposed outside 23 homes for two months; NO2 was monitored for comparison. Metals were not highly correlated with NO2 and showed higher spatial variation than NO2. Regression models explained 61-85% of Cu, Cr, Mo, Pb, Sb, Sn, and Zn and 72% of NO2 variability. Metals were strongly associated with the number of bus lines in the nearest street. Heavy metals are an alternative traffic-marker to NO2 given their toxicological relevance, stronger association with local traffic and higher spatial variability. Monitoring heavy metals with mosses is appealing, particularly for long-term exposure assessment, as mosses can remain on site many months without maintenance.

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BACKGROUND: The recommendation of screening with ankle brachial index (ABI) in asymptomatic individuals is controversial. The aims of the present study were to develop and validate a pre-screening test to select candidates for ABI measurement in the Spanish population 50-79 years old, and to compare its predictive capacity to current Inter-Society Consensus (ISC) screening criteria. METHODS AND RESULTS: Two population-based cross-sectional studies were used to develop (n = 4046) and validate (n = 3285) a regression model to predict ABI < 0.9. The validation dataset was also used to compare the model's predictive capacity to that of ISC screening criteria. The best model to predict ABI < 0.9 included age, sex, smoking, pulse pressure and diabetes. Assessment of discrimination and calibration in the validation dataset demonstrated a good fit (AUC: 0.76 [95% CI 0.73-0.79] and Hosmer-Lemeshow test: χ(2): 10.73 (df = 6), p-value = 0.097). Predictions (probability cut-off value of 4.1) presented better specificity and positive likelihood ratio than the ABI screening criteria of the ISC guidelines, and similar sensitivity. This resulted in fewer patients screened per diagnosis of ABI < 0.9 (10.6 vs. 8.75) and a lower proportion of the population aged 50-79 years candidate to ABI screening (63.3% vs. 55.0%). CONCLUSION: This model provides accurate ABI < 0.9 risk estimates for ages 50-79, with a better predictive capacity than that of ISC criteria. Its use could reduce possible harms and unnecessary work-ups of ABI screening as a risk stratification strategy in primary prevention of peripheral vascular disease.

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OBJECTIVE: To determine the effect of age and study period on coronary heart disease (CHD) risk attributable to cardiovascular risk factors. METHODS: A cohort of cardiovascular disease (CVD)-free randomly participants from Girona (Spain) aged 35-74 years recruited in 1995 and 2000 and followed for an average of 6.9 years. A survey conducted in the same area in 2005 was also used for the analysis. Smoking, hypertension, diabetes, sedentary lifestyle, obesity, total cholesterol > or = 240 mg/dl, low-density lipoprotein (LDL) cholesterol > or = 160 mg/dl, and high-density lipoprotein cholesterol <40 mg/dl were the risk factors considered. The composite end-point included myocardial infarction, angina pectoris, and CHD death. RESULTS: LDL cholesterol had the highest potential for CHD prevention between 35 and 74 years [42% (95% Confidence Interval: 23,58)]. The age-stratified analysis showed that the population attributable risk (PAF) for smoking was 64% (30,80) in subjects < 55 years; for those > or = 55 years, the PAF for hypertension was 34% (1,61). The decrease observed between 1995 and 2005 in the population's mean LDL cholesterol level reduced that PAF in all age groups. CONCLUSION: Overall, LDL cholesterol levels had the highest potential for CHD prevention. Periodic PAF recalculation in different age groups may be required to adequately monitor population trends.

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PURPOSE: The purpose of the study was to evaluate the prevalence of cardiovascular disease (CVD), cardiovascular risk factors (CVRFs), and their control in patients with type 2 diabetes mellitus (T2DM) at primary care settings from the North Catalonia Diabetes Study (NCDS). DATA SOURCES: In this multicentre cross-sectional descriptive study, data were collected from a random sample of 307 patients with T2DM. The prevalence of CVD, CVRF, metabolic syndrome (MS), coronary heart disease (CHD) risk at 10 years (Framingham Point Scores), and CVRF control was evaluated. MS and lipid profiles were established according to Adult Treatment Panel III criteria. CONCLUSIONS: CVD prevalence was 22.0% (CHD: 18.9% and peripheral ischemia: 4.5%) and more frequent in men. The prevalence of selected CVRF was: hypertension: 74.5%; dyslipidemia: 77.7%; smoking: 14.9%; obesity 44.9%, and familial CVD: 38.4%. Three or more CVRFs, including T2DM, were observed in 91.3%. MS prevalence was 68.7%. Framingham score was 10.0%, higher in men than in women. CVD prevalence was related to: age, number of CVRFs, duration of diabetes, familial history of CVD, waist circumference, hypertension, lipid profile, kidney disease, and Framingham score, but not to MS by itself. Correct lipid profiles and blood pressure were only observed in 18.9% and 24.0%, respectively, whereas platelet aggregation inhibitors were only recorded in 16.1% of the patient cohort. MS presence was not an independent risk factor of CVD in our study. IMPLICATIONS FOR PRACTICE: The high prevalence of CVD and an inadequate control of CVRF, which were apparent in the NCDS population, would suggest that advanced practice nurses should consider incorporating specific cardiovascular assessment in their routine care of persons with T2DM.

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BACKGROUND: High prevalence of cardiovascular risk factors has been observed in Spain along with low incidence of acute myocardial infarction. Our objective was to determine the trends of cardiovascular risk factor prevalence between 1995 and 2005 in the 35-74-year-old population of Gerona, Spain. DESIGN: Comparison of cross-sectional studies were conducted in random population samples in 1995, 2000, and 2005 at Gerona, Spain. METHODS: An electrocardiogram was obtained, along with standardized measurements of body mass index, lipid profile, systolic and diastolic blood pressure, glycaemia, energy expenditure in physical activity, smoking, use of lipid-lowering and antihypertensive medications, and cardiovascular risk. Prevalence of diabetes, hypertension, and obesity was calculated and standardized for age. RESULTS: A total of 7571 individuals (52.0% women) were included (response rate 72%). Low-density lipoprotein cholesterol >3.4 mmol/l (130 mg/dl) (49.7%) and hypertension (39.1%) were the most prevalent cardiovascular risk factors. In 1995, 2000 and 2005, low-density lipoprotein cholesterol decreased in both men and women: 4.05-3.91-3.55 mmol/l (156-151-137 mg/dl) and 3.84-3.81-3.40 mmol/l (148-147-131 mg/dl), respectively. Increases were observed in lipid-lowering drug use (5.7-6.3-9.6% in men and 4.0-5.8-8.0% in women), controlled hypertension (14.8-35.4-37.7% in men and 21.3-36.9-45.0% in women); (all P-trends <0.01), and obesity (greatest for men: 17.5-26.0-22.7%, P-trends=0.020). Prevalence of myocardial infarction or possibly abnormal Q waves in electrocardiogram also increased significantly (3.9-4.7-6.4%, P-trends=0.018). CONCLUSIONS: The cardiovascular risk factor prevalence change in Gerona was marked in this decade by a shift of total cholesterol and low-density lipoprotein cholesterol distributions to the left, independent of the increase in lipid-lowering drug use, and better hypertension control with increased use of antihypertensive drugs.

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INTRODUCTION AND OBJECTIVES: Although its incidence is low, cardiovascular disease is the most common cause of morbidity and mortality in Spain. A number of different algorithms can be used to calculate cardiovascular disease risk for primary prevention, but their ability to identify patients who will experience a cardiovascular event is not well understood. The objective of this study was to compare the results of using the original Framingham algorithm and two adaptations for low-risk countries: the REGICOR (Registre Gironí del cor) and SCORE (Systematic COronary Risk Evaluation) algorithms. METHODS: All cardiovascular events during 5-year follow-up in a cohort of patients without coronary disease in nine autonomous Spanish regions were recorded. The levels of different cardiovascular risk factors were measured between 1995 and 1998. Participants were considered high-risk if their 10-year risk was >or=20% with the Framingham algorithm, >or=10%, >or=15% or >or=20% with REGICOR, and >or=5% with SCORE. RESULTS: In total, 180 (3.1%) coronary events (112 in men and 68 in women) occurred among the 5732 (57.3% female) participants during follow-up. Of these, 43 died from cerebrovascular disease, and 24 had a non-coronary vascular event. The REGICOR algorithm had the highest positive predictive value for coronary and cardiovascular disease in all age groups. Moreover, with a 10-year risk limit of 10%, it classified less of the population aged 35-74 years as high-risk (i.e., 12.4%) than the Framingham algorithm (i.e., 22.4%). The SCORE and Framingham algorithms classified 8.4% and 16.6% of the population aged 35-64 years, respectively, as having a high cardiovascular disease risk; with REGICOR, the figure was 7.5%. CONCLUSIONS: The REGICOR adapted algorithm was the best predictor of cardiovascular events and classified a smaller proportion of the Spanish population aged 35-74 years as high risk than alternative algorithms.

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Introducción y objetivos. A pesar de que presentan una baja incidencia, las enfermedades cardiovasculares son la causa más frecuente de morbimortalidad en España. Se dispone de diversas funciones para calcular el riesgo cardiovascular en la prevención primaria, cuya capacidad para identificar a los pacientes que desarrollarán acontecimientos cardiovasculares es poco conocida. Comparamos el rendimiento de las funciones de Framingham original, adaptada de REGICOR (Registre Gironí del Cor) y SCORE (Systematic COronary Risk Evaluation) para países de bajo riesgo. Métodos. Se registraron todos los acontecimientos cardiovasculares en un seguimiento de 5 años de una cohorte sin enfermedad coronaria en 9 comunidades autónomas. Se midieron los factores de riesgo cardiovascular entre 1995 y 1998. Se consideró que el riesgo era elevado a los 10 años en ≥ 20% para Framingham, ≥ 10, ≥ 15 y ≥ 20% para REGICOR y ≥ 5% para SCORE. Resultados. Se produjeron 180 (3,1%) acontecimientos coronarios (112 en varones y 68 en mujeres) en las 5.732 personas (57,3% de mujeres) en las que se realizó el seguimiento. Se produjo muerte cerebrovascular en 43 personas, así como 24 acontecimientos vasculares no coronarios. Con la función REGICOR se obtuvo el mayor valor predictivo positivo para enfermedad coronaria y cardiovascular a cualquier edad, y, tomando un límite de 10% de riesgo a los 10 años, se clasificó a menos población de alto riesgo de 35-74 años (12,4%) que con la función de Framingham (22,4%). SCORE y Framingham clasificaron al 8,4 y al 16,6% de la población de 35-64 años como de alto riesgo cardiovascular y REGICOR, al 7,5%. Conclusiones. La función adaptada de REGICOR es la opción aplicable hasta los 74 años que muestra el mejor equilibrio en la capacidad de clasificación de riesgo de acontecimientos cardiovasculares. Su aplicación permite la clasificación de alto riesgo a individuos con un perfil más adecuado para ser candidatos a tratamiento hipolipemiante (AU)

Introduction and objectives. Although its incidence is low, cardiovascular disease is the most common cause of morbidity and mortality in Spain. A number of different algorithms can be used to calculate cardiovascular disease risk for primary prevention, but their ability to identify patients who will experience a cardiovascular event is not well understood. The objective of this study was to compare the results of using the original Framingham algorithm and two adaptations for low-risk countries: the REGICOR (Registre Gironí del cor) and SCORE (Systematic COronary Risk Evaluation) algorithms. Methods. All cardiovascular events during 5-year follow-up in a cohort of patients without coronary disease in nine autonomous Spanish regions were recorded. The levels of different cardiovascular risk factors were measured between 1995 and 1998. Participants were considered high-risk if their 10-year risk was ≥20% with the Framingham algorithm, ≥10%, ≥15% or ≥20% with REGICOR, and ≥5% with SCORE. Results. In total, 180 (3.1%) coronary events (112 in men and 68 in women) occurred among the 5732 (57.3% female) participants during follow-up. Of these, 43 died from cerebrovascular disease, and 24 had a non-coronary vascular event. The REGICOR algorithm had the highest positive predictive value for coronary and cardiovascular disease in all age groups. Moreover, with a 10-year risk limit of 10%, it classified less of the population aged 35-74 years as high-risk (i.e., 12.4%) than the Framingham algorithm (i.e., 22.4%). The SCORE and Framingham algorithms classified 8.4% and 16.6% of the population aged 35-64 years, respectively, as having a high cardiovascular disease risk; with REGICOR, the figure was 7.5%. Conclusions. The REGICOR adapted algorithm was the best predictor of cardiovascular events and classified a smaller proportion of the Spanish population aged 35-74 years as high risk than alternative algorithms (AU)

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BACKGROUND: To assess the reliability and accuracy of the Framingham coronary heart disease (CHD) risk function adapted by the Registre Gironí del Cor (REGICOR) investigators in Spain. METHODS: A 5-year follow-up study was completed in 5732 participants aged 35-74 years. The adaptation consisted of using in the function the average population risk factor prevalence and the cumulative incidence observed in Spain instead of those from Framingham in a Cox proportional hazards model. Reliability and accuracy in estimating the observed cumulative incidence were tested with the area under the curve comparison and goodness-of-fit test, respectively. RESULTS: The Kaplan-Meier CHD cumulative incidence during the follow-up was 4.0% in men and 1.7% in women. The original Framingham function and the REGICOR adapted estimates were 10.4% and 4.8%, and 3.6% and 2.0%, respectively. The REGICOR-adapted function's estimate did not differ from the observed cumulated incidence (goodness of fit in men, p = 0.078, in women, p = 0.256), whereas all the original Framingham function estimates differed significantly (p<0.001). Reliabilities of the original Framingham function and of the best Cox model fit with the study data were similar in men (area under the receiver operator characteristic curve 0.68 and 0.69, respectively, p = 0.273), whereas the best Cox model fitted better in women (0.73 and 0.81, respectively, p<0.001). CONCLUSION: The Framingham function adapted to local population characteristics accurately and reliably predicted the 5-year CHD risk for patients aged 35-74 years, in contrast with the original function, which consistently overestimated the actual risk.

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BACKGROUND AND OBJECTIVE: The therapeutic consequences of using the Framingham function calibrated by the REGICOR and Framingham investigators (Framingham-REGICOR) in the Spanish population are unknown. The objective of this study was to determine the differences in the classification of the population coronary risk when using the classical Framingham function (Framingham-Wilson) and that calibrated, and its consequences on the theoretical indication of lipid-lowering treatment. PATIENTS AND METHOD: The classification into the < 2%, 2-4,9%, 5-9,9%, 10-19,9%, 20-39,9%, and >= 40% risk categories observed by the two functions was compared in 3.270 individuals aged 35 to 74 years with no history of ischaemic heart disease or lipid-lowering drug treatment, recruited in two population samples representative of Girona between 1994 and 2001. The number of lipid-lowering treatment candidates was estimated applying the most recent guidelines for clinical practice, according to the risk level obtained with both functions. RESULTS: The proportion of patients excluded owing to the fact that they already were on lipid-lowering treatment was 6.2%. The Framingham-REGICOR assigned 54.2% of women and 67.9% of men to a lower level of risk as compared to the Framingham-Wilson function. In 0.2% of women and 21.2% of men the decrease was two categories of risk. The figures in diabetic participants were 75.7 and 18.5%, respectively. When the European recommendations published in 2003 were applied, lipid-lowering treatment would have been indicated in 14.5% and in 4.4% of non-diabetic participants by the Framingham-Wilson and the Framingham-REGICOR, respectively. CONCLUSIONS: The calibrated Framingham-REGICOR function assigns a lower coronary risk category in more than 50% of women and almost 90% of men than the uncalibrated Framingham function. The calibrated function is more suitable for risk estimation in primary prevention than the original function in Spain.

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FUNDAMENTO Y OBJETIVO: Se desconocen las implicaciones terapéuticas derivadas del uso de la función de riesgo coronario de Framingham calibrada por los investigadores de los estudios REGICOR y Framingham (Framingham-REGICOR) para la población española. El objetivo de este estudio fue determinar las diferencias en la clasificación del riesgo de la población de 35 a 74 años usando la función de Framingham clásica (Framingham-Wilson) y la calibrada y sus consecuencias en la indicación de tratamiento hipolipemiante con las guías de práctica clínica. PACIENTES Y MÉTODO: Se comparó la clasificación en las categorías de riesgo a 10 años de < 2 por ciento, 2-4,9 por ciento, 5-9,9 por ciento, 10-19,9 por ciento, 20-39,9 por ciento y 40 por ciento observada mediante ambas funciones en 3.270 individuos de entre 35 y 74 años sin antecedentes de cardiopatía isquémica ni tratamiento hipolipemiante, provenientes de 2 muestras poblacionales representativas de la provincia de Girona, reclutadas entre 1994 y 2001. Se calculó el número de candidatos a tratamiento hipolipemiante según las guías vigentes de práctica clínica y las 2 funciones. RESULTADOS: Un 5,9 por ciento del total de la muestra recibía tratamiento hipolipemiante en el momento del examen. La función Framingham-REGICOR asignó al 54,2 por ciento de las mujeres y al 67,9 por ciento de los varones no diabéticos a una categoría de riesgo inferior que la función Framingham-Wilson. El 0,2 por ciento de las mujeres y el 21,2 por ciento de los varones descendieron dos categorías. Un 75,7 por ciento de los participantes diabéticos descendió una categoría y el 18,5 por ciento descendió dos. Con las guías europeas de 2003 recibirían hipolipemiantes el 14,5 y el 4,4 por ciento de participantes no diabéticos usando las funciones de Framingham-Wilson y Framingham-REGICOR, respectivamente. CONCLUSIONES: La función calibrada de Framingham-REGICOR adjudica una categoría de riesgo coronario menor que la de Framingham original en más del 50 por ciento de mujeres y casi el 90 por ciento de varones. Es una herramienta más recomendable que ésta en la prevención primaria de la enfermedad coronaria en España (AU)

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INTRODUCTION AND OBJECTIVES: The Framingham coronary heart disease (CHD) functions overestimate the risk of CHD in countries with a low incidence. Consequently, these functions should be calibrated for the purpose of primary prevention. Calibrated Framingham function charts of overall CHD risk for the Spanish population are presented. Patients and methods. The Framingham functions were calibrated by substituting the prevalence of CHD risk factors and incidence found in Framingham with the same values for Spain. The Framingham function that included high-density lipoprotein (HDL) cholesterol was used. The 10-year probability of developing a CHD event was estimated for several combinations of risk factors and HDL levels ranging from 35 to 59 mg/dl. Color-coded charts were prepared that show the exact probability of CHD corresponding to each combination of risk factors, shown in separate cells on the chart. RESULTS: The event rate and prevalence of CHD risk factors differed considerably between Girona and Framingham. HDL < 35 mg/dL increased risk by approximately 50% and HDL > 60 mg/dL reduced it by 50%. The proportion of cells in which the 10-year probability of developing a CHD event was > 9% was 2.3 times higher and that of cells with a probability > 19% was 13 times lower in the chart calibrated for Spain than in the original Framingham charts. CONCLUSIONS: The calibrated Framingham function may help to more accurately estimate the overall risk of CHD in the Spanish population for primary prevention purposes. The calibrated function should be validated, and the development of functions for the Spanish population should be promoted.

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Introducción y objetivos. Las ecuaciones de Framingham sobrestiman el riesgo de enfermedad coronaria en los países cuya incidencia es baja. En éstos, la ecuación debería adaptarse para la correcta prevención de la enfermedad coronaria. Se presentan las tablas de riesgo coronario global de Framingham calibradas para la población española. Pacientes y método. Se utilizó el procedimiento de calibración de la ecuación de Framingham, consistente en sustituir la prevalencia de factores de riesgo cardiovascular y la tasa de incidencia de acontecimientos coronarios de Framingham por las de nuestro medio. Se ha usado la ecuación de Framingham, que incluye el colesterol unido a lipoproteínas de alta densidad (cHDL). Se han calculado las probabilidades de acontecimiento a los 10 años y se han elaborado unas tablas con códigos de color y la probabilidad exacta en cada casilla correspondiente a las distintas combinaciones de los factores de riesgo clásicos, para una concentración de cHDL de 35-59 mg/dl. Resultados. Las tasas de acontecimientos coronarios y la prevalencia de factores de riesgo difieren considerablemente entre la población estudiada y Framingham. Valores de cHDL 60 mg/dl lo reducen en un 50 por ciento, aproximadamente. La proporción de casillas con una probabilidad de acontecimiento coronario a los 10 años superior al 9 por ciento es 2,3 veces menor, y la de casillas con una probabilidad > 19 por ciento es 13 veces menor en las tablas calibradas que en las originales de Framingham. Conclusiones. La función de Framingham calibrada puede constituir un instrumento para estimar con más precisión el riesgo coronario global en la prevención primaria de esta enfermedad en España. Su uso debe acompañarse de una validación apropiada y se debe trabajar en la elaboración de ecuaciones propias españolas (AU)

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