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1.
Eur J Prev Cardiol ; 23(10): 1093-103, 2016 07.
Artículo en Inglés | MEDLINE | ID: mdl-26040999

RESUMEN

AIMS: Estimation of cardiovascular disease risk, using SCORE (Systematic COronary Risk Evaluation) is recommended by European guidelines on cardiovascular disease prevention. Risk estimation is inaccurate in older people. We hypothesized that this may be due to the assumption, inherent in current risk estimation systems, that risk factors function similarly in all age groups. We aimed to derive and validate a risk estimation function, SCORE O.P., solely from data from individuals aged 65 years and older. METHODS AND RESULTS: 20,704 men and 20,121 women, aged 65 and over and without pre-existing coronary disease, from four representative, prospective studies of the general population were included. These were Italian, Belgian and Danish studies (from original SCORE dataset) and the CONOR (Cohort of Norway) study. The variables which remained statistically significant in Cox proportional hazards model and were included in the SCORE O.P. model were: age, total cholesterol, high-density lipoprotein cholesterol, systolic blood pressure, smoking status and diabetes. SCORE O.P. showed good discrimination; area under receiver operator characteristic curve (AUROC) 0.74 (95% confidence interval: 0.73 to 0.75). Calibration was also reasonable, Hosmer-Lemeshow goodness of fit test: 17.16 (men), 22.70 (women). Compared with the original SCORE function extrapolated to the ≥65 years age group discrimination improved, p = 0.05 (men), p < 0.001 (women). Simple risk charts were constructed. On simulated external validation, performed using 10-fold cross validation, AUROC was 0.74 and predicted/observed ratio was 1.02. CONCLUSION: SCORE O.P. provides improved accuracy in risk estimation in older people and may reduce excessive use of medication in this vulnerable population.


Asunto(s)
Envejecimiento , Enfermedades Cardiovasculares/epidemiología , Medición de Riesgo , Factores de Edad , Anciano , Anciano de 80 o más Años , Bélgica/epidemiología , Dinamarca/epidemiología , Femenino , Estudios de Seguimiento , Humanos , Incidencia , Italia/epidemiología , Masculino , Pronóstico , Estudios Prospectivos , Curva ROC , Factores de Riesgo , Factores de Tiempo
2.
Eur J Prev Cardiol ; 22(10): 1340-5, 2015 Oct.
Artículo en Inglés | MEDLINE | ID: mdl-25208907

RESUMEN

On the occasion of the 2014 European Society of Cardiology annual congress in Barcelona the European Association for Cardiovascular Prevention and Rehabilitation (EACPR) will celebrate its 10-year anniversary, having been initiated in Munich in 2004. In this article each EACPR president gives their personal recollections and views on the main achievements under their leadership and discusses the challenges for preventive cardiology that still lay ahead.


Asunto(s)
Investigación Biomédica , Rehabilitación Cardiaca , Cardiología , Enfermedades Cardiovasculares/prevención & control , Congresos como Asunto , Servicios Preventivos de Salud , Sociedades Médicas , Aniversarios y Eventos Especiales , Investigación Biomédica/historia , Investigación Biomédica/tendencias , Cardiología/historia , Cardiología/tendencias , Enfermedades Cardiovasculares/diagnóstico , Enfermedades Cardiovasculares/epidemiología , Congresos como Asunto/historia , Congresos como Asunto/tendencias , Predicción , Historia del Siglo XX , Historia del Siglo XXI , Humanos , Liderazgo , Sociedades Médicas/historia , Sociedades Médicas/tendencias
3.
Eur J Cardiovasc Prev Rehabil ; 13(5): 695-704, 2006 Oct.
Artículo en Inglés | MEDLINE | ID: mdl-17001207

RESUMEN

AIMS: The intention of this study is to investigate the relationship of the demands/control/strain model with hard coronary events in an epidemiological, prospective, multicenter, European study. METHODS AND RESULTS: Six cohorts (Brussels, Ghent, Lille, Barcelona, Göteborg and Malmö) from four European countries (Belgium, France, Spain and Sweden) consisting of 21 111 middle-aged male subjects participated between 1993 and 1996 in the baseline survey of the Job Stress, Absenteeism and Coronary Heart Disease in Europe (JACE) study. The Karasek strain model of psychological demands (five items)/control (nine items) was used. During a mean follow-up of 40 months 185 acute coronary events or coronary deaths were observed. Age-adjusted hazard ratios (HRs) for developing an acute coronary event were 1.46 [CI 95% confidence interval (1.08-1.97)] for high against low psychological demands and 1.53 (95% CI 1.0-2.35) for strained (high demands plus low control) against relaxed (low demands plus high control) groups. After adjustment for standard cardiovascular risk factors the HR for developing a coronary event for those above or equal to the median against those below the median of psychological demands was 1.46 (95% CI 1.08-1.97) whereas the HR for strained against relaxed groups is 1.46 (95% CI 0.96-2.25). Sensitivity analyses confirmed the robustness of the results. CONCLUSION: In this European, multicenter, prospective, epidemiological study the Karasek job strain model was an independent predictor of acute coronary events, with the psychological demands scale emerging as the important component.


Asunto(s)
Absentismo , Enfermedad Coronaria/epidemiología , Enfermedad Coronaria/etiología , Empleo/psicología , Estrés Psicológico/complicaciones , Estrés Psicológico/fisiopatología , Adulto , Europa (Continente)/epidemiología , Humanos , Incidencia , Masculino , Persona de Mediana Edad , Estrés Psicológico/psicología
4.
Int J Behav Med ; 12(3): 132-41, 2005.
Artículo en Inglés | MEDLINE | ID: mdl-16083316

RESUMEN

The International Society of Behavioral Medicine (ISBM) was one of eight societies that comprised the Third Task Force of European and Other Societies on Prevention of Cardiovascular Disease in Clinical Practice (2003-2004). This task force considered published knowledge from diverse fields related to preventive cardiology including behavioral medicine to improve risk estimation and risk factor management. The scientific evidence supporting the guidelines included findings on low socioeconomic status, social isolation, psychosocial stress, hostility, depression and negative affect, the clustering of psychosocial and lifestyle risk factors, and lifestyle psychosocial interventions. Recommendations for promoting behavior change and management of psychosocial and lifestyle factors in clinical practice include strategies for promoting healthy lifestyle, improving health care provider-patient interactions, implementing multimodal interventions, and managing psychosocial risk factors.


Asunto(s)
Enfermedades Cardiovasculares/prevención & control , Enfermedades Cardiovasculares/psicología , Conductas Relacionadas con la Salud , Estilo de Vida , Sociedades Médicas , Afecto , Depresión , Hostilidad , Humanos , Relaciones Profesional-Paciente , Medición de Riesgo , Clase Social , Aislamiento Social , Estrés Psicológico
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