RESUMO
Background: The objective of this research is to evaluate the efficacy and safety of drugs in the residual risk in any of its three components: lipid, inflammatory and thrombotic risk. Methods: A systematic review was conducted of randomized clinical trials that included as a primary outcome, at least one of the conditions related to atherosclerotic cardiovascular disease. The databases used were PUBMED/MEDLINE, Scopus and ClinicalTrials.gov. The risk of bias of the studies was assessed using the Risk of Bias 2 tool. Results: and discussion: 18 studies were included in the analysis. Half of the studies had low risk of bias or some concerns. Several drugs were effective in reducing the primary outcome: ethyl eicosapentaenoeic acid (17.2 % E-EPA versus 22 % placebo HR: 0.75; 95 % CI 0.68-0.83; p < 0.001), colchicine in stable coronary artery disease (6.8 % vs placebo 9.6 %, HR 0.59, 95 % CI 0.57-0.83; p < 0.001), Canakinumab (150 mg vs placebo ARR 15 %, HR 0.85, 95 % CI 0.74-0.98; p = 0.021) and Rivaroxaban with Aspirin in stable atherosclerotic disease (4.1 % versus aspirin 5.4 %, HR 0.76, 95 % CI 0.66-0.86, P < 0.001). Serious adverse events did not differ between study groups, except for a higher rate of bleeding with the use of combination antithrombotic therapy. Conclusion: The residual risk can be reduced through the use of different drugs that act by modifying atherogenic lipid levels, modulating inflammatory pathways and the risk of thrombosis, with an acceptable safety profile in most studies.
RESUMO
BACKGROUND AND AIMS: Remnant cholesterol (RC) and insulin resistance (IR) have been independently associated with cardiovascular risk. Here, we evaluated the role of IR and RC on cardiovascular disease (CVD) mortality. METHODS: We conducted an analysis of 16,113 individuals ≥20 years without diabetes from the National Health and Nutrition Examination Survey (NHANES-III/IV). RC levels were calculated using total cholesterol, non-HDL-c, and LDL-c; IR was defined as HOMA2-IR≥2.5 and CVD mortality as a composite of cardiovascular and cerebrovascular mortality. Multiple linear regression was used to assess the relationship between HOMA2-IR and RC and Cox regression models to assess their joint role in CVD mortality. Causally ordered mediation models were used to explore the mediating role of IR in RC-associated CVD mortality. RESULTS: We identified an association between higher HOMA2-IR and higher RC levels. The effect of IR on CVD mortality was predominant (HR 1.32, 95%CI 1.18-1.48) and decreased at older ages (HR 0.934, 95%CI 0.918-0.959) compared to RC (HR 0.983, 95%CI 0.952-1.014). Higher risk of CVD mortality was observed in individuals with IR but normal RC (HR 1.37, 95%CI 1.25-1.50) and subjects with IR and high RC (HR 1.24, 95%CI 1.13-1.37), but not in subjects without IR but high RC. In mediation models, HOMA2-IR accounted for 78.2% (95%CI 28.11-98.89) of the effect of RC levels on CVD mortality. CONCLUSIONS: Our findings suggest that RC potentiates the risk of CVD mortality through its effect on whole-body insulin sensitivity, particularly among younger individuals.
Assuntos
Doenças Cardiovasculares , Colesterol , Resistência à Insulina , Inquéritos Nutricionais , Humanos , Masculino , Doenças Cardiovasculares/mortalidade , Doenças Cardiovasculares/sangue , Feminino , Pessoa de Meia-Idade , Adulto , Colesterol/sangue , Estados Unidos/epidemiologia , Medição de Risco , Biomarcadores/sangue , Idoso , Fatores de Risco de Doenças Cardíacas , Fatores de RiscoRESUMO
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.
RESUMO
Introduction: Adverse cardiovascular events that arise in patients with established cardiovascular disease have prompted researchers to seek variables that can help estimate residual cardiovascular risk and aid in its reduction. In Latin-America, there is limited data assessing this type of risk. Objective: Estimate residual cardiovascular risk in ambulatory patients diagnosed with Chronic Coronary Syndrome (CCS) using the SMART-Score scale seen at five clinics in Nicaragua; determine the prevalence of patients that achieve a serum LDL level of <55 mg/dL; and describe the use of statins in these patients. Methods: A total of 145 participants previously diagnosed with CCS seen regularly in ambulatory visits were enrolled. A survey was completed, including epidemiological variables that allowed the calculation of a SMART score. Data analysis was conducted using SPSS version 21.0. Results: A 46.2% of participants were male, the average age was 68.7 years (11.4 SD), 91% had hypertension, 80.7% had a BMI ≥25. Under the SMART Score risk classification per Dorresteijn et al. the following risk distribution was found: 2.8% low, 31% moderate, 20% high, 13.1% very high and 33.1% extremely high. Per the risk classification of Kaasenbrood et al., 2.8% were in the 0-9% group, 31% in the 10-19%, 20% in 20-29% and 46.2% were in the ≥30% group. A 64.8% did not meet LDL goals. Conclusion: There is an inadequate control of cLDL levels in patients with CCS, and the appropriate available therapeutic resources aren't being utilized. It is important to achieve a proper control of lipid levels in order to improve cardiovascular outcomes, despite currently being far from these goals.
RESUMO
La diabetes mellitus tipo 2 (DM2) es un factor de riesgo cardiovascular (FRCV) mayor. La DM confiere dos a cuatro veces más riesgo cardiovascular (RCV). El riesgo es aún más elevado en el paciente con DM2 que ha sufrido un infarto agudo de miocardio (IAM) o un accidente cerebrovascular (ACV). La dislipidemia de la DM2 consiste en triglicéridos elevados de ayuno, con mayor excursión posprandial, bajos niveles de HDLc, y alteraciones cuantitativas y cualitativas de LDLc y HDLc. El control glucémico apropiado en DM2 mejora en gran medida las alteraciones lipoproteicas. La terapia hipolipemiante es clave para reducir el RCV en la DM2. La reducción del RCV que se consigue con estatinas se basa en la reducción del LDLc y sus efectos pleiotrópicos. En pacientes que persisten con el perfil lipídico alterado, a pesar de dosis altas de estatinas, se debe considerar el agregado de otros agentes hipolipemiantes para reducir las lipoproteínas aterogénicas.
Type 2 diabetes (T2D) is a major cardiovascular risk factor (CVRF). Diabetes confers two to four times more cardiovascular risk (CVR). The risk is even higher in patients with T2D who have suffered an acute myocardial infarction (AMI) or cerebrovascular accident (CVA). The dyslipidemia of T2D consists of high fasting triglycerides, with greater postprandial excursion, low levels of HDLc and qualitative alterations of LDLc and HDLc. Appropriate glycemic control in T2D greatly improves lipoprotein abnormalities. Lipid-lowering therapy is key to reducing CVR in T2D. The CVR reduction achieved with statins is based on the reduction of LDLc. In patients who persist with an altered lipid profile despite highdose statins, the addition of other lipid-lowering agents to reduce atherogenic lipoproteins may be considered.
Assuntos
Diabetes Mellitus , Colesterol , Fatores de Risco , Fatores de Risco de Doenças Cardíacas , Controle Glicêmico , HDL-ColesterolRESUMO
La diabetes mellitus tipo 2 (DM2) es un factor de riesgo cardiovascular (FRCV) mayor. La DM confiere dos a cuatro veces más riesgo cardiovascular (RCV). El riesgo es aún más elevado en el paciente con DM2 que ha sufrido un infarto agudo de miocardio (IAM) o un accidente cerebrovascular (ACV). La dislipidemia de la DM2 consiste en triglicéridos elevados de ayuno, con mayor excursión posprandial, bajos niveles de HDLc, y alteraciones cuantitativas y cualitativas de LDLc y HDLc. El control glucémico apropiado en DM2 mejora en gran medida las alteraciones lipoproteicas. La terapia hipolipemiante es clave para reducir el RCV en la DM2. La reducción del RCV que se consigue con estatinas se basa en la reducción del LDLc y sus efectos pleiotrópicos. En pacientes que persisten con el perfil lipídico alterado, a pesar de dosis altas de estatinas, se debe considerar el agregado de otros agentes hipolipemiantes para reducir las lipoproteínas aterogénicas.
Type 2 diabetes (T2D) is a major cardiovascular risk factor (CVRF). Diabetes confers two to four times more cardiovascular risk (CVR). The risk is even higher in patients with T2D who have suffered an acute myocardial infarction (AMI) or cerebrovascular accident (CVA). The dyslipidemia of T2D consists of high fasting triglycerides, with greater postprandial excursion, low levels of HDLc and qualitative alterations of LDLc and HDLc. Appropriate glycemic control in T2D greatly improves lipoprotein abnormalities. Lipid-lowering therapy is key to reducing CVR in T2D. The CVR reduction achieved with statins is based on the reduction of LDLc. In patients who persist with an altered lipid profile despite highdose statins, the addition of other lipid-lowering agents to reduce atherogenic lipoproteins may be considered.