Impacto de la optimización del tratamiento hipolipemiante en el riesgo cardiovascular residual / Impact of Optimizing Lipid-Lowering Therapy on Residual Cardiovascular Risk

RESUMEN Introducción: el modelo SMART-REACH predice el riesgo de eventos cardiovasculares recurrentes. Objetivos: los objetivos de este estudio fueron: a) evaluar el riesgo residual en una población en prevención secundaria y niveles de colesterol asociado a lipoproteínas de baja densidad (C-LDL) fuera de meta; b) mediante un modelo de simulación, determinar el impacto de optimizar las terapias hipolipemiantes en términos de reducción del riesgo residual. Material y métodos: estudio transversal, descriptivo y multicéntrico. Se incluyeron consecutivamente pacientes con antecedentes cardiovasculares y un C-LDL mayor o igual que 55 mg/dL. El riesgo de eventos recurrentes (infarto agudo de miocardio, accidente cerebrovascular o muerte vascular) a 10 años y a lo largo de la vida se estimó utilizando el modelo SMART-REACH. Mediante una simulación, se optimizó el tratamiento hipolipemiante de cada paciente (utilizando estatinas, ezetimibe o inhibidores de proproteína convertasa subtilisina kexina tipo 9 [iPCSK9]), se estimó el descenso del C-LDL, se verificó el alcance del objetivo lipídico y se calculó la reducción del riesgo cardiovascular y el número necesario a tratar (NNT) correspondiente. Resultados: se incluyeron 187 pacientes (edad media 67,9 ± 9,3 años, 72,7% hombres). Los riesgos residuales calculados a 10 años y a lo largo de la vida fueron 37,1 ± 14,7% y 60,3 ± 10,7%, respectivamente. Globalmente, se pudo optimizar una sola estrategia farmacológica con estatinas, ezetimibe o un iPCSK9 en el 38,5%, el 11,5% y el 5,5% de la población, respectivamente. La optimización basada en dos tratamientos se realizó en el 27,5% (estatinas + ezetimibe), el 7,7% (estatinas + iPCSK9) y el 1,1% (ezetimibe + iPCSK9) de los casos. En 15 pacientes se optimizó el tratamiento considerando los tres fármacos. El 53,9% y el 62,9% de las acciones para optimizar el tratamiento mostraron un NNT menor que 30 para evitar un evento a 10 años o a lo largo de la vida, respectivamente. Conclusión: en este estudio, los pacientes con antecedentes cardiovasculares que no alcanzan la meta de C-LDL mostraron un riesgo residual considerable. La simulación mostró un importante margen para optimizar el tratamiento, con un impacto notable en el riesgo residual.

ABSTRACT Background: The SMART-REACH model predicts the risk or recurrent cardiovascular events. Objectives: The objectives of this study were: a) to evaluate the residual cardiovascular risk in a secondary prevention population with LDL-C levels above the recommended goal, using a simulation model; and b) to determine the impact of optimizing lipid-lowering therapies in terms of residual cardiovascular risk reduction. Methods: We conducted a cross-sectional, descriptive and multicenter study. Patient with a history of cardiovascular disease and a LDL-C ≥55 mg/dL were consecutively included. The 10-year and lifetime risk of recurrent events (myocardial infarction, stroke, or vascular death) were estimated using the SMART-REACH model. By means of a simulation, lipid-lowering treatment was optimized for each patient [using statins, ezetimibe and/or PCSK9 (PCSK9) inhibitors], with estimation of LDL-C reduction, checking if lipid-lowering goal was achieved and calculating the reduction in cardiovascular risk and the corresponding number needed to treat (NNT). Results: The cohort was made up of 187 patients; mean age was 67.9 ± 9.3 years and 72.7% were men. The calculated 10-year and lifetime residual risks were 37.1 ± 14.7% and 60.3 ± 10.7%, respectively. Overall, treatment was optimized with a single pharmacological strategy with statins, ezetimibe or PCSK9 inhibitor in 38.5%, 11.5% and 5.5% of the population, respectively. Optimization based on two treatments was performed in 27.5% (statins + ezetimibe), 7.7% (statins + PCSK9 inhibitor) and 1.1% (ezetimibe + PCSK9 inhibitor) of the cases. In 15 patients, treatment was optimized when the three drugs (statins + ezetimibe + PCSK9 inhibitor) were considered. Overall, 53.9% and 62.9% of the actions implemented to optimize treatment showed a 10-year or lifetime NNT < 30 to prevent an event, respectively. Conclusion: In this study, patients with a history of cardiovascular disease who do not reach LDL-C goal showed significant residual cardiovascular risk. The simulation model showed a significant margin for optimizing treatment, with a marked reduction in residual cardiovascular risk.

Categorización del síndrome metabólico de acuerdo con las variables que lo constituyen y su relación con la insulino-resistencia / Consensus definition of the metabolic syndrome and diagnostic criteria for identification and its relationshipo with the insulin-resistance syndrome

In recent years, the cardiovascular prevention has found a new clinical tool: the metabolic syndrome (MS). Arised in the observation of associations between risk factors, it is recognized as the clinical manifestation of insulin resistance. In the course of time, it was demonstrated that the presence of MS possess a prognostic value to predict death, nonfatal acute myocardial infarction, vascular stroke and the development of diabetes... The relationshipo to insulin resistance and diagnostic criteria for identification of the metabolic syndrome are given in the article.