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In recent years, novel apoC3 inhibitor therapies for the treatment of hypertriglyceridemia have been developed and assessed through phase II and III clinical trials. The objective of this study was to perform an updated meta-analysis on the impact of new apoC3 inhibitor drugs on triglyceride and apoC3 levels, as well as on the incidence of pancreatitis. We conducted a meta-analysis of randomized, placebo-controlled studies assessing the effects of apoC3 inhibitors therapy (antisense oligonucleotides and small interfering RNA) on triglyceride levels, apoC3 levels, and the occurrence of acute pancreatitis. This meta-analysis was performed according to PRISMA guidelines. The random-effects model was performed. Nine randomized clinical trials (n = 717 patients) were considered eligible for this systematic review. ApoC3 inhibitor drugs were consistently associated with decreased triglyceride levels (MD -57.0%; 95% CI -61.9 to -52.1, I2 82%) and lowered apoC3 values (MD -76; 95% CI -80.1 to -71.8, I2 77%) when compared to placebo. Furthermore, the use of apoC3 inhibitor drugs demonstrated a reduction in the risk of acute pancreatitis (OR 0.11; 95% CI 0.04 to 0.27, I2 0%). The present updated meta-analysis of randomized clinical trials demonstrated that the utilization of apoC3 inhibitors in patients with hypertriglyceridemia correlated with reduced apoC3 and triglyceride levels, along with a decreased risk of acute pancreatitis compared to the placebo.
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Background: The anti-inflammatory effect could be one of the mechanisms by which semaglutide reduces cardiovascular risk in patients with type 2 diabetes mellitus (T2DM) and/or obesity. Determining the anti-inflammatory effect of semaglutide was the objective of this systematic review and meta-analysis. Methods: This meta-analysis was performed according to the PRISMA guidelines. A literature search was performed to detect randomised clinical trials that have quantified the effect of semaglutide on C-reactive protein (CRP) levels compared to placebo or a control group (other glucose-lowering drugs). The primary outcome was CRP index (final CRP/basal CRP). A random-effects model was used. Results: Thirteen randomised clinical trials were considered eligible (n = 26,131). Overall, semaglutide therapy was associated with lower CRP index values compared to the placebo group (SMD -0.56; 95% CI -0.69 to -0.43, I 2 92%) or the control group (SMD -0.45; 95% CI -0.68 to -0.23, I 2 82%).Such an association was similarly observed when different treatment regimens (subcutaneous vs. oral) or different populations (patients with or without T2DM) were analysed. The sensitivity analysis showed that the results were robust. Conclusion: The present meta-analysis demonstrated that the use of semaglutide was associated with a reduction in inflammation irrespective of the population evaluated or the treatment regimen used. These findings would explain one of the mechanisms by which semaglutide reduces cardiovascular events. Systematic Review Registration: PROSPERO [CRD42024500551].
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BACKGROUND/OBJECTIVE: To assess safety/efficacy of tofacitinib and tumor necrosis factor inhibitors (TNFi) in patients from Latin America (LATAM) in ORAL Surveillance. METHODS: In ORAL Surveillance, 4362 patients with rheumatoid arthritis aged ≥50 years with ≥1 additional cardiovascular risk factor received tofacitinib 5 or 10 mg twice daily or TNFi. This post hoc analysis stratified patients by geographical location (LATAM, n = 1202; non-LATAM, n = 3160). Incidence rates (IRs; patients with first event/100 patient-years) and hazard ratios for adverse events of special interest were reported. Efficacy outcomes included Clinical Disease Activity Index and American College of Rheumatology 20/50/70 responses. RESULTS: Risk factors associated with cardiovascular disease and malignancies were less prevalent in the LATAM cohort compared with the non-LATAM cohort. IRs for patients receiving tofacitinib (combined doses) versus TNFi were 0.54 versus 0.28 (LATAM) and 1.14 versus 0.92 (non-LATAM) for major adverse cardiovascular events; 0.58 versus 0.27 (LATAM) and 1.33 versus 0.95 (non-LATAM) for malignancies excluding nonmelanoma skin cancer; and 0.69 versus 0.35 (LATAM) and 0.63 versus 0.33 (non-LATAM) for all-cause death. IRs for nonmelanoma skin cancer and venous thromboembolism were also numerically higher with tofacitinib versus TNFi and in the non-LATAM cohort versus LATAM. Efficacy was similar across treatment groups within each cohort. CONCLUSIONS: Adverse events of special interest were generally less frequent in LATAM versus non-LATAM patients, reflecting differences in baseline characteristics, and higher with tofacitinib versus TNFi in both cohorts, consistent with the overall findings of ORAL Surveillance. Our findings emphasize the importance of assessing individual risk factors to guide benefit/risk assessment and treatment decisions. CLINICAL TRIAL REGISTRATION NUMBER: NCT02092467.
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Artrite Reumatoide , Doenças Cardiovasculares , Neoplasias , Piperidinas , Pirimidinas , Idoso , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Antirreumáticos/efeitos adversos , Antirreumáticos/administração & dosagem , Antirreumáticos/uso terapêutico , Artrite Reumatoide/tratamento farmacológico , Doenças Cardiovasculares/epidemiologia , Doenças Cardiovasculares/prevenção & controle , Incidência , América Latina/epidemiologia , Neoplasias/epidemiologia , Neoplasias/tratamento farmacológico , Piperidinas/administração & dosagem , Piperidinas/efeitos adversos , Piperidinas/uso terapêutico , Pirimidinas/efeitos adversos , Pirimidinas/administração & dosagem , Pirróis/administração & dosagem , Pirróis/efeitos adversos , Resultado do Tratamento , Inibidores do Fator de Necrose Tumoral/efeitos adversos , Inibidores do Fator de Necrose Tumoral/administração & dosagemRESUMO
The development of advanced technologies in artificial intelligence (AI) has expanded its applications across various fields. Machine learning (ML), a subcategory of AI, enables computers to recognize patterns within extensive datasets. Furthermore, deep learning, a specialized form of ML, processes inputs through neural network architectures inspired by biological processes. The field of clinical lipidology has experienced significant growth over the past few years, and recently, it has begun to intersect with AI. Consequently, the purpose of this narrative review is to examine the applications of AI in clinical lipidology. This review evaluates various publications concerning the diagnosis of familial hypercholesterolemia, estimation of low-density lipoprotein cholesterol (LDL-C) levels, prediction of lipid goal attainment, challenges associated with statin use, and the influence of cardiometabolic and dietary factors on the discordance between apolipoprotein B and LDL-C. Given the concerns surrounding AI techniques, such as ethical dilemmas, opacity, limited reproducibility, and methodological constraints, it is prudent to establish a framework that enables the medical community to accurately interpret and utilize these emerging technological tools.
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INTRODUCTION: A new cardiovascular risk (CVR) calculator that incorporates Lipoprotein(a) [Lp(a)] levels has recently been designed. AIMS: To estimate CVR using the new score and to identify the reduction in low-density lipoprotein cholesterol (LDL-C) or systolic blood pressure (SBP) necessary to balance the risk attributable to Lp(a). METHODS: CVR throughout life and at 10 years was estimated with the new score in patients in primary prevention, both considering and not considering the value of Lp(a). When the estimated risk considering Lp(a) levels exceeded the baseline risk, the reduction in LDL-C levels or SBP necessary to balance the risk attributable to Lp(a) was calculated. RESULTS: In total, 671 patients (mean age 54.2 years, 47.2% women) were included. Globally, 22.7% of the population had high Lp(a) values (> 50 mg/dL or > 125 nmol/L). When calculating CVR throughout life and considering the Lp(a) value, the global risk increased in 66.7% of cases (median 19.3%). Similar results were observed when we assessed the 10-year risk. The risk associated with Lp(a) could be completely compensated by decreasing LDL-C (average 21 mg/dL) or SBP (average 6.3 mmHg) in 79.2% and 74.7% of cases, respectively. CONCLUSION: When calculating the CVR with the new score, two-thirds and one-third of the population were bidirectionally recategorized as 'up' or 'down,' respectively. The decrease in LDL-C or SBP mitigated the increased risk caused by Lp(a) levels across a substantial proportion of patients.
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Biomarcadores , Pressão Sanguínea , Doenças Cardiovasculares , LDL-Colesterol , Fatores de Risco de Doenças Cardíacas , Lipoproteína(a) , Valor Preditivo dos Testes , Humanos , Lipoproteína(a)/sangue , Feminino , Medição de Risco , Pessoa de Meia-Idade , Masculino , Biomarcadores/sangue , Doenças Cardiovasculares/sangue , Doenças Cardiovasculares/epidemiologia , Doenças Cardiovasculares/prevenção & controle , Doenças Cardiovasculares/diagnóstico , LDL-Colesterol/sangue , Adulto , Idoso , Fatores de Tempo , Técnicas de Apoio para a Decisão , Dislipidemias/sangue , Dislipidemias/diagnóstico , Dislipidemias/epidemiologia , Dislipidemias/tratamento farmacológico , Prevenção Primária , PrognósticoRESUMO
Introducción. La asociación entre los marcadores lipídicos en la infancia/adolescencia y la incidencia de eventos clínicos cardiovasculares en la adultez está poco explorada en la literatura. El objetivo de esta revisión sistemática fue analizar la evidencia disponible sobre este tema. Población y métodos. Esta revisión sistemática se realizó de acuerdo con las guías PRISMA. Se realizó una búsqueda bibliográfica para detectar los estudios que evaluaron la asociación entre los niveles lipídicos en la edad pediátrica y la incidencia de eventos cardiovasculares en la edad adulta. No hubo restricciones idiomáticas ni geográficas en la búsqueda. Resultados. En total, cinco estudios observacionales (todas cohortes prospectivas) que incluyeron 43 540 pacientes fueron identificados y considerados elegibles para este estudio. Cuatro estudios evaluaron el nivel de triglicéridos; todos reportaron una asociación significativa entre este marcador en la edad pediátrica y los eventos cardiovasculares en la adultez. Un estudio reportó la misma asociación con el nivel de colesterol total, mientras que otro evidenció el valor predictivo de la lipoproteína (a) para el mismo desenlace clínico. Un solo estudio evaluó el colesterol asociado a lipoproteínas de alta densidad (C-HDL), sin encontrar una relación con el punto final de interés. El análisis del colesterol asociado a lipoproteínas de baja densidad (C-LDL) arrojó resultados contradictorios, aunque la asociación fue significativa en los estudios con un tamaño muestral más grande y con un mayor número de eventos durante el seguimiento. Conclusión. Los datos de esta revisión sugieren que las alteraciones de los marcadores lipídicos en la infancia y la adolescencia se asocian con un mayor riesgo cardiovascular en la adultez temprana y media.
Introduction. The association between lipid markers in childhood/adolescence and the incidence of clinical cardiovascular events in adulthood has been little explored in the bibliography. The objective of this systematic review was to analyze available evidence on this topic. Population and methods. This systematic review was conducted in accordance with the PRISMA guidelines. A comprehensive bibliographic search was done to find studies assessing the association between lipid levels in childhood and the incidence of cardiovascular events in adulthood. There were no language or geographic restrictions. Results. A total of 5 observational studies (all prospective cohorts) including 43 540 patients were identified and considered eligible for this study. Four studies assessed triglyceride levels; all reported a significant association between this lipid marker in childhood and cardiovascular events in adulthood. A study reported the same association with total cholesterol level, while another showed the predictive value of lipoprotein (a) for the same clinical outcome. Only one study assessed high-density lipoprotein cholesterol (HDL-C), but it did not find an association with the endpoint of interest. The analysis of lowdensity lipoprotein cholesterol (LDL-C) showed contradictory results, although the association was significant in the studies with a larger sample size and a higher number of events during follow-up. Conclusion. According to this review, alterations in lipid markers in childhood and adolescence are associated with a higher cardiovascular risk in early and middle adulthood.
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Humanos , Pré-Escolar , Criança , Adolescente , Doenças Cardiovasculares/etiologia , Doenças Cardiovasculares/epidemiologia , Colesterol , Triglicerídeos , Estudos Prospectivos , Fatores de Risco , Estudos Observacionais como Assunto , HDL-Colesterol , LDL-ColesterolRESUMO
RESUMEN La inteligencia artificial (IA) está basada en programas computacionales que pueden imitar el pensamiento humano y automatizar algunos procesos. En el ámbito médico se está estudiando hace más de 50 años, pero en los últimos años el crecimiento ha sido exponencial. El campo de las imágenes cardiovasculares es particularmente atractivo para aplicarla, dado que, guiadas por IA, personas no expertas pueden adquirir imágenes completas, automatizar procesos y mediciones, orientar diagnósticos, detectar hallazgos no visibles al ojo humano, realizar diagnósticos oportunistas de afecciones no buscadas en el estudio índice pero evaluables a través de las imágenes disponibles, o identificar patrones de asociación dentro de una gran cantidad de datos como fuente de generación de hipótesis. En el campo de la prevención cardiovascular, la IA se ha aplicado en diferentes escenarios con fines diagnósticos, pronósticos y terapéuticos en el manejo de algunos factores de riesgo cardiovascular, como las dislipidemias o la hipertensión arterial. Si bien existen limitaciones con el uso de la IA tales como el costo, la accesibilidad y la compatibilidad de los programas, la validez externa de los resultados en determinadas poblaciones, o algunos aspectos éticos-legales (privacidad de los datos), esta tecnología está en crecimiento vertiginoso y posiblemente revolucione la práctica médica actual.
ABSTRACT Artificial intelligence (AI) is based on computer programs that imitate human thinking and automate certain processes. Artificial intelligence has been studied in the medical field for over 50 years, but in recent years, its growth has been exponential. The field of cardiovascular imaging is particularly attractive since AI can guide non-experts in image acquisition, automate processes and measurements, guide diagnoses, detect findings not visible to the human eye, make opportunistic diagnoses of unexpected conditions in the index test, or identify patterns of association within a large amount of data as a source of hypothesis generation. In the field of cardiovascular prevention, AI has been used for diagnostic, prognostic, and therapeutic purposes in managing cardiovascular risk factors such as dyslipidemia and hypertension. While there are limitations to the use of AI, such as cost, accessibility, compatibility of programs, external validity of results in certain populations, and ethical-legal aspects such as data privacy, this technology is rapidly growing and is likely to revolutionize current medical practice.
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Introduction. The association between lipid markers in childhood/adolescence and the incidence of clinical cardiovascular events in adulthood has been little explored in the bibliography. The objective of this systematic review was to analyze available evidence on this topic. Population and methods. This systematic review was conducted in accordance with the PRISMA guidelines. A comprehensive bibliographic search was done to find studies assessing the association between lipid levels in childhood and the incidence of cardiovascular events in adulthood. There were no language or geographic restrictions. Results. A total of 5 observational studies (all prospective cohorts) including 43 540 patients were identified and considered eligible for this study. Four studies assessed triglyceride levels; all reported a significant association between this lipid marker in childhood and cardiovascular events in adulthood. A study reported the same association with total cholesterol level, while another showed the predictive value of lipoprotein (a) for the same clinical outcome. Only one study assessed high-density lipoprotein cholesterol (HDL-C), but it did not find an association with the endpoint of interest. The analysis of lowdensity lipoprotein cholesterol (LDL-C) showed contradictory results, although the association was significant in the studies with a larger sample size and a higher number of events during follow-up. Conclusion. According to this review, alterations in lipid markers in childhood and adolescence are associated with a higher cardiovascular risk in early and middle adulthood.
Introducción. La asociación entre los marcadores lipídicos en la infancia/adolescencia y la incidencia de eventos clínicos cardiovasculares en la adultez está poco explorada en la literatura. El objetivo de esta revisión sistemática fue analizar la evidencia disponible sobre este tema. Población y métodos. Esta revisión sistemática se realizó de acuerdo con las guías PRISMA. Se realizó una búsqueda bibliográfica para detectar los estudios que evaluaron la asociación entre los niveles lipídicos en la edad pediátrica y la incidencia de eventos cardiovasculares en la edad adulta. No hubo restricciones idiomáticas ni geográficas en la búsqueda. Resultados. En total, cinco estudios observacionales (todas cohortes prospectivas) que incluyeron 43 540 pacientes fueron identificados y considerados elegibles para este estudio. Cuatro estudios evaluaron el nivel de triglicéridos; todos reportaron una asociación significativa entre este marcador en la edad pediátrica y los eventos cardiovasculares en la adultez. Un estudio reportó la misma asociación con el nivel de colesterol total, mientras que otro evidenció el valor predictivo de la lipoproteína (a) para el mismo desenlace clínico. Un solo estudio evaluó el colesterol asociado a lipoproteínas de alta densidad (C-HDL), sin encontrar una relación con el punto final de interés. El análisis del colesterol asociado a lipoproteínas de baja densidad (C-LDL) arrojó resultados contradictorios, aunque la asociación fue significativa en los estudios con un tamaño muestral más grande y con un mayor número de eventos durante el seguimiento. Conclusión. Los datos de esta revisión sugieren que las alteraciones de los marcadores lipídicos en la infancia y la adolescencia se asocian con un mayor riesgo cardiovascular en la adultez temprana y media.
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Doenças Cardiovasculares , Colesterol , Humanos , Adolescente , LDL-Colesterol , Estudos Prospectivos , HDL-Colesterol , Doenças Cardiovasculares/epidemiologia , Doenças Cardiovasculares/etiologia , Fatores de Risco , Triglicerídeos , Estudos Observacionais como AssuntoRESUMO
AIMS: The use of statins has been associated with an increased risk of new-onset diabetes. The characteristics of the population could influence this association. The objective of this study was to determine the risk of new-onset diabetes with the use of statins in patients in primary prevention, with an assessment of the results according to the baseline risk of developing diabetes of the included population. METHODS: We performed an updated meta-analysis including randomized trials of statin therapy in primary prevention settings that report new-onset diabetes. The rate of new cases of diabetes in the control arms was estimated for each study. The studies were classified into two groups (low rate: < 7.5 events per 1000 patients-year; high rate; ≥ 7.5 events per 1000 patients-year). The fixed-effects model was performed. RESULTS: Eight studies (70,453 patients) were included. Globally, statin therapy was associated with an increased risk of new-onset diabetes (OR 1.1; 95% CI 1.0-1.2, I2 35%). When we analyzed the studies according to the baseline diabetes risk in the control groups, the results showed that there was a greater risk only in the studies with a high baseline rate (OR 1.2; 95% CI 1.1-1.3, I2 0%; interaction p value = 0.01). CONCLUSION: Globally, the use of statins in patients in primary prevention was associated with an increased risk of new-onset diabetes. In the stratified analysis, this association was observed only in the group of studies with a high baseline rate of events.
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Doenças Cardiovasculares , Diabetes Mellitus , Inibidores de Hidroximetilglutaril-CoA Redutases , Humanos , Inibidores de Hidroximetilglutaril-CoA Redutases/uso terapêutico , Diabetes Mellitus/epidemiologia , Diabetes Mellitus/induzido quimicamente , Prevenção Primária , Doenças Cardiovasculares/prevenção & controleRESUMO
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.