Manual de consulta rápida para la vacunación infantil en Atención Primaria

Contiene: Almacenamiento, conservación y transporte de las vacunas, contraindicaciones y precauciones de la administración de las vacunas, proceso de administración de las vacunas, calendario de vacunaciones sistemáticas infantiles de la Comunidad Autónoma de Extremadura, descripción gráfica de la vacunación sistemática del niño sano, otras vacunas recomendadas en la edad infantil, intervalos entre distintas vacunas y con productos inmunobiológicos, actuación ante una reacción anafiláctica, diagnósticos de Enfermería ante la vacunación.

[Predictive capacity, comparison and clinic consequences of the Framingham-Wilson and REGICOR tables in persons for whom care has been provided at a health care center, Badajoz, Spain]. / Capacidad predictiva, comparación y consecuencias clínicas de las tablas de Framingham-Wilson y regicor en personas atendidas en un centro de salud de Badajoz.

BACKGROUND: Framingham's original equation modified by Wilson and the REGICOR calibration are widely recommended in coronary risk stratification. This study is aimed at: (1) Analyzing the ten-year predictiveness of the Framingham-Wilson and REGICOR tables among a population for which care has been provided at an urban health care center (2) Evaluating the concordance use of hypolipemiant and antihypertensive drugs resulting from these tables. METHODS: Observational, longitudinal, retrospective study of a cohort of patients for whom care was provided at a primary care center. A total of 1011 patients ages 35-74 (mean age 55.7, 56.0% females) without any evidence of cardiovascular disease. Those patients having a > or =20% risk in Wilson and > or =10% in REGICOR were considered high-risk. RESULTS: The actual coronary risk of the population was 10.7%, whilst the mean coronary risk estimated with the functions was 17.0% in Wilson and 6.6% in REGICOR. A total 29.6% was classified high-risk in Wilson as compared to the 18.2% in RECIGOR (p < 0.05). The percentage of high-risk males was significantly higher in Wilson than in REGICOR (49.0% vs. 29.4%, p < 0.01). The Kappa index was 0.70 (95 CI: 0.67, 0.73). A total of 39.5% of the patients (as per Wilson) and 31.4% (as per REGICOR) were candidates for taking hypolipemiant drugs (p < 0.001). The validity criteria of both of these functions are quite discreet: sensitivity, specificity and odds ratio diagnosed at 50.9%, 73.1% and 2.11 in Wilson and 28.7%, 83.1% and 1.98 in REGICOR, respectively. CONCLUSIONS: The Wilson and REGICOR tables show an acceptable degree of concordance, but their validity parameters are discreet. The Framingham-Wilson function screens a higher percentage of patients as being candidates for hypolipemiant drugs.

[Incidence of cardiovascular disease and validity of equations of coronary risk in diabetic patients with metabolic syndrome]. / Incidencia de enfermedad cardiovascular y validez de las tablas de riesgo coronario en pacientes diabéticos con síndrome metabólico.

BACKGROUND AND OBJECTIVE: We aimed to analyze the contribution of the metabolic syndrome (MetS) and the glycemic control on the incidence of cardiovascular disease in type 2 diabetic patients. Our goal was also to validate to 10 years the coronary risk functions charts that use the original Framingham equation (Framingham-Wilson) and the calibrated one for the Spanish population (Framingham-REGICOR) in diabetic patients with MetS. PATIENTS AND METHOD: We included a total of 206 diabetic patients from a primary care center (63.6% with MetS), with no history of cardiovascular disease, in whom the coronary risk could be calculated prior to 1 January 1995. All were followed up during 10 years. RESULTS: The incidence of stroke, coronary and global events was similar in diabetic patients with and without MetS (15.3% vs 14.7%, 9.2% vs 9.3% and 20.6% vs 21.3%, respectively). The presence of glycosylated hemoglobin > or = 7% increased the risk of global cardiovascular events (relative risk [RR], 2.13; 95% confidence interval [CI], 1.10-4.09) and stroke (RR, 3.4; 95% CI, 1.17-9.84). The considered coronary risk in Framingham-Wilson and REGICOR equations was higher in the patients with MetS (29.6% and 12.4% vs 23.4% and 9.4%, respectively; p < 0,01), but the validity criteria of these equations in the diabetic population are very discreet. CONCLUSIONS: A value of glycosylated hemoglobin > or = 7% increases the risk of cardiovascular events in diabetic patients whereas the incidence of this events was similar in patients with and without MetS. The utility of the Framingham-Wilson and REGICOR equations is reduced in the diabetic population.

[Validation of 3 equations of coronary risk in diabetic population of a primary care center]. / Validación de tres ecuaciones de riesgo coronario en población diabética de un centro de salud.

BACKGROUND AND OBJECTIVE: We intended to validate to 10 years 3 equations of coronary risk that use the function of original Framingham (Framingham-Anderson and Framingham-Wilson) and calibrated for Spanish population (Framingham-REGICOR) in diabetic patients type 2. PATIENTS AND METHOD: We included a total of 190 diabetic patients from a primary care center, without coronary heart disease, in whom the coronary risk could be calculated before 1 January 1995. All were followed during 10 years. RESULTS: The highest score of cardiovascular risk was obtained in the Framingham-Wilson function chart (25.4%) and the lowest in the Framingham-REGICOR (10.8%). The real incidence of coronary events was 14.7% (p < 0.001). Statistically significant differences between patients with or without coronary events were only observed in the Framingham-REGICOR equation (13.3% vs 10.3%; p = 0.046). Framingham-Anderson and Framingham-Wilson functions charts more than doubled the risk of coronary disease in men (p < 0.001). The agreement degree between the 3 functions was acceptable except for the calculation of coronary risk in men between Framingham-REGICOR and Framingham-Wilson equations (kappa index = 0.3). Framingham-Anderson and Framingham-Wilson functions charts showed similar profiles for the patients with high coronary risk. Sensitivity was superior in Framingham-Anderson and Framingham-Wilson functions (67.8%) and specificity was optimal in Framingham-REGICOR equation (51.2%). The positives predictive values were low and the negatives predictive values were high. CONCLUSIONS: The equations of Framingham-Wilson and Framingham-Anderson overestimate the coronary risk in diabetics, whereas the Framingham-REGICOR functions underestimates it. The utility of these 3 methods is reduced in the diabetic population.