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.

Residual cardiovascular risk, use of standard care treatments, and achievement of treatment goals in patients with cardiovascular disease.

Background: Residual risk management in patients with previous cardiovascular disease (CVD) is a relevant issue. Objectives: 1) to assess the residual risk of patients with CVD using the new scores developed to predict recurrent CVD events (SMART score/SMART-REACH model); 2) to determine the use of therapies with cardiovascular benefit and the achievement of therapeutic goals in patients with very high residual risk. Methods: A multicenter, descriptive, cross-sectional study was performed. Individuals over 18 years of age with CVD were included consecutively. The 10-year risk of recurrent events was estimated using the SMART score and the SMART-REACH model. A value ≥ 30% was considered "very high risk". Results: In total, 296 patients (mean age 68.2 ± 9.4 years, 75.7% men) were included. Globally, 32.43% and 64.53% of the population was classified as very high risk by the SMART score and the SMART-REACH model, respectively. Among patients classified as very high risk by the SMART score, 45.7% and 33.3% were treated with high-intensity statins and reached the goal of LDL-C <55 mg/dL, respectively. The results were similar when evaluating very high patients according to the SMART-REACH model (high-intensity statins: 59.7%; LDL-C <55 mg/dL: 43.9%). Few very high-risk patients with diabetes were receiving glucose-lowering drugs with demonstrated cardiovascular benefit. Conclusion: In this secondary prevention population, the residual risk was considerable. Underutilization of standard care treatments and failure to achieve therapeutic goals were evident even in subjects with very high residual 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.

Alterations in cell adhesion molecules and other biomarkers of cardiovascular disease in patients with metabolic syndrome.

Metabolic syndrome is considered a hyperinsulinemic and inflammatory state closely associated to endothelial dysfunction causing an increased incidence of ischemic cardiovascular events and high mortality. The main objective of the present study was to determine whether leukocitary and soluble cell adhesion molecules were altered in patients with metabolic syndrome in comparison with control subjects. Cell adhesion molecules, mainly of leukocitary location, have been not previously evaluated in specifically designed cross-sectional studies involving male patients with metabolic syndrome. Moreover, other circulating markers of different candidate atherogenic risk parameters were also studied and the potential existence of a progressive relation between the number of metabolic syndrome components and the above mentioned biomarkers was analyzed. Thirty one male patients with metabolic syndrome (ATPIII definition) and 56 male control subjects were studied. We evaluated different markers of insulin resistance, inflammation and atherosclerosis, as well as protective factors. Patients with metabolic syndrome showed (a) hypoadiponectinemia (4551 +/- 2302 ng/ml vs. 5865 +/- 2548 ng/ml, respectively; p<0.05), (b) an atherogenic lipid and lipoprotein profile, (c) altered HDL chemical composition accompanied by higher cholesteryl ester-triglyceride interchange carried out by CETP, (d) diminished Lp-PLA(2) activity (6.5 +/- 1.9 vs. 7.3 +/- 2.2, p<0.05, respectively), antioxidant enzyme related with LDL oxidation, which was positively associated with QUICKI and negatively with VCAM-1 and lymphocyte CD18, and (e) high soluble (VCAM-1: 17 +/-5 vs. 13 +/- 4 ng/ml, respectively; p<0.0005) and leukocyte adhesion molecule expression (monocyte CD54: 52 +/- 15 vs. 45 +/-12 arbitrary units, respectively; p<0.0005; and lymphocyte CD49d: 312 +/- 56 vs. 284 +/- 64 arbitrary units, respectively; p < 0.05). The increment in leukocyte and soluble cell adhesion molecules, crucial for leukocyte interaction with the endothelium and migration into the artery wall, in combination with the other disorders described above reinforce the presence of a clinical status with high propensity to type 2 diabetes and atherosclerotic cardiovascular disease.