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Efectos de la contaminación del aire dentro de la casa en la incidencia de enfermedades cardiovasculares 家庭空气污染对心血管疾病发病率的心血管影响。
IF 1.9 Q3 PERIPHERAL VASCULAR DISEASE Pub Date : 2026-01-01 DOI: 10.1016/j.arteri.2025.500770
Patricio Lopez-Jaramillo , Gladys Lizarazo , Raúl Torres , Fausto Posso , Jose P. Lopez-Lopez , Maya Caicedo , Fernando Vargas-Mendoza
Cardiovascular diseases (CVD) are the main cause of death globally, especially in low- and middle-income countries (LMICs), where the largest number of inhabitants on the planet are concentrated. Air pollution inside and outside the home by microparticles 2 5 (PM2·5) has become an important risk factor for the presence of CVD and other chronic non-communicable diseases, particularly in LMICs. The use of solid fuels as an energy source for cooking food and heating inside the home has negative effects not only on human health but also on the health of the planet, as it contributes to deforestation and the consequent effect on climate change. In this narrative review we update how air pollution inside the home from cooking food with firewood and charcoal impacts the risk of CVD, the factors that determine the use of these polluting fuels, and the actions necessary for the massive transition toward the use of non-polluting energy, highlighting the development of university research to offer a stove that uses green hydrogen as a non-polluting energy source.
心血管疾病是全球死亡的主要原因,特别是在地球上人口最多的低收入和中等收入国家。室内和室外由pm2.5造成的空气污染已成为心血管疾病和其他慢性非传染性疾病的重要危险因素,特别是在中低收入国家。使用固体燃料作为烹饪食物和在家中取暖的能源不仅对人类健康,而且对地球的健康产生负面影响,因为它助长了森林砍伐,并由此对气候变化产生影响。在这篇叙述性评论中,我们更新了用木柴和木炭烹饪食物产生的室内空气污染如何影响心血管疾病的风险,决定这些污染燃料使用的因素,以及向使用无污染能源大规模过渡所必需的行动,重点介绍了大学研究的发展,以提供使用绿色氢作为无污染能源的炉子。
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引用次数: 0
Prevalencia de dislipemias familiares, grado de control lipídico y relación con la enfermedad cardiovascular aterosclerótica en población general de Galicia. Estudio GALIPEMIAS 加利西亚普通人群家族性血脂异常患病率、脂质控制程度及其与动脉粥样硬化性心血管疾病的关系GALIPEMIAS研究。
IF 1.9 Q3 PERIPHERAL VASCULAR DISEASE Pub Date : 2026-01-01 DOI: 10.1016/j.arteri.2025.500804
José Luis Díaz-Díaz , M. Eugenia Ameneiros , Rosa Argüeso Armesto , José María Mostaza Prieto , Xavier Pintó Sala , Avelino Rodríguez González , José Antonio Díaz-Peromingo , Alberto del Alamo Alonso , Pablo Fernández Catalina , Manuel Suárez Tembra , Carlos Alberto Názara Otero , Marta Pena Seijo , Javier Muñiz García , Teresa Rosalía Pérez-Castro , Antonio Pose Reino , Juan Pedro-Botet Montoya

Objectives

GALIPEMIAS is a study designed to determine the prevalence of familial dyslipidemias in the adult population of Galicia, evaluate the degree of lipid control according to the criteria of current clinical guidelines and analyze its association with atherosclerotic cardiovascular disease (ASCVD).

Methods

Cross-sectional study carried out in the general population over 18 years of age residing in Galicia and with a health card from the Galician Health Service (n = 1,000). The sample was selected by random cluster sampling. The prevalence of familial combined hyperlipidemia (FCH), hypercholesterolemia with dominant inheritance pattern (HC-DI) and familial hypertriglyceridemia (FHTG), as well as suspected familial dysbetalipoproteinemia (FDB) and the joint prevalence of familial dyslipidemias with dominant inheritance (FDL-DI) were analyzed. For the assessment of cardiovascular risk (CVR), the criteria of the 2021 European guidelines for cardiovascular prevention were followed. The LDL-C control target required according to the CVR level was defined according to the 2019 European ESC/EAS guidelines.

Results

The prevalence of FCH was 15.9% (95% CI: 13.6-18.4%), that of HC-DI 5.9% (95% CI: 4.5-7.6%), that of FHTG 1.7% (95% CI: 1.0-2.8%) and that of subjects with suspected FDB 0.9% (95% CI 0.4-1.6%). The joint prevalence of FDL-DI was 23.5% (95% CI: 20.8-26.3%), also present in 1 in 3 subjects with ASCVD. Overall, 60.5% of participants with FDL-DI had high or very high CV risk and 4.6% of them were on target for LDL-C control.

Conclusions

The presence of familial dyslipidemia with dominant inheritance is the majority among the adult population living in Galicia with dyslipidemia, with FCH being the most prevalent of them. These subjects are underdiagnosed, are generally at high or very high cardiovascular risk, hardly receive lipid-lowering treatment (1 in 3) and the degree of LDL-C control according to guidelines is very poor.
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目的:GALIPEMIAS是一项旨在确定加利西亚成年人群家族性血脂异常患病率的研究,根据现行临床指南的标准评估血脂控制程度,并分析其与动脉粥样硬化性心血管疾病(ASCVD)的相关性。方法:在加利西亚18岁以上、持有加利西亚保健服务卡的普通人群中进行横断面研究(n=1,000)。采用随机整群抽样的方法选取样本。分析家族性合并高脂血症(FCH)、显性遗传型高胆固醇血症(HC-DI)和家族性高甘油三酯血症(FHTG)的患病率,以及疑似家族性脂蛋白异常血症(FDB)和显性遗传型家族性血脂异常血症(FDL-DI)的联合患病率。对于心血管风险(CVR)的评估,遵循2021年欧洲心血管预防指南的标准。根据CVR水平所需的LDL-C控制目标根据2019年欧洲ESC/EAS指南定义。结果:FCH患病率为15.9% (95%CI: 13.6 ~ 18.4%), HC-DI患病率为5.9% (95%CI: 4.5 ~ 7.6%), FHTG患病率为1.7% (95%CI: 1.0 ~ 2.8%),疑似FDB患病率为0.9% (95%CI: 0.4 ~ 1.6%)。FDL-DI的联合患病率为23.5% (95%CI: 20.8-26.3%), ASCVD患者中也有1 / 3。总体而言,60.5%的FDL-DI患者有高或非常高的CV风险,其中4.6%的人达到了LDL-C控制的目标。结论:加利西亚成年血脂异常人群中以显性遗传的家族性血脂异常为主,其中以FCH最为常见。这些患者诊断不足,一般心血管风险高或极高,几乎没有接受降脂治疗(1 / 3),根据指南控制LDL-C的程度很差。
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引用次数: 0
Importancia del riesgo cardiovascular y aterogénico en profesionales sanitarios 心血管和动脉粥样硬化风险对卫生保健专业人员的重要性
IF 1.9 Q3 PERIPHERAL VASCULAR DISEASE Pub Date : 2026-01-01 DOI: 10.1016/j.arteri.2025.500890
Johanna Vicuña
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引用次数: 0
Risk of short telomere as biomarker of diabetes mellitus type 2 status in the CORDIOPREV study. 在CORDIOPREV研究中,短端粒作为2型糖尿病状态的生物标志物的风险
IF 1.9 Q3 PERIPHERAL VASCULAR DISEASE Pub Date : 2025-12-19 DOI: 10.1016/j.arteri.2025.500888
Ana Ojeda-Rodriguez, Maria Jose Parraga-Viudez, Juan L Romero-Cabrera, Alejandro López-Moreno, Javier Arenas-Montes, Ana Isabel Pérez Caballero, Raul M Luque, Javier Delgado-Lista, Oriol Rangel-Zuñiga, Jose Lopez-Miranda

Background: The presence of type 2 diabetes mellitus (T2DM) in cardiovascular disease (CVD) is associated with poorer clinical outcomes. To identify biomarkers is essential to predict T2DM onset and progression in the context of secondary prevention. Telomere length (TL), a marker of cellular aging, has been linked to oxidative stress, inflammation, and metabolic dysfunction, including diabetes-related complications. This study aims to evaluate TL as a potential biomarker for T2DM in patients with coronary heart disease (CHD).

Methods: We included 956 patients from the CORDIOPREV study with available TL data. Participants were classified according to their diabetes status at the end of the dietary intervention: 407 were free of T2DM and 549 were classified as having T2DM. TL was measured by quantitative PCR. Patients with TL values below the 20th percentile of the study population were categorized as having short telomeres.

Results: TL was significantly shorter in T2DM patients compared to non-T2DM (1.26±0.74 vs. 1.38±0.84; p=0.026). Each 1-SD increase in TL was associated with a 17% lower risk of T2DM (OR 0.83, 95% CI 0.69-0.98). Patients at risk of short TL (<20th percentile) showed a higher prevalence of T2DM (20% vs. 17%; p=0.035) and a 42% increased risk of its presence (OR 1.42, 95% CI 0.99-2.02). In stepwise regression models, TL, age, BMI, insulin, triglycerides, and HbA1c emerged as independent predictors of T2DM. After adjusting for fasting glucose, TL lost significance as a continuous variable, but short TL risk remained independently associated with T2DM (OR 1.57, p=0.049).

Conclusions: Shorter TL is associated with the presence of T2DM in patients with CHD, supporting its potential role as an independent biomarker for T2DM risk in secondary prevention.

背景:2型糖尿病(T2DM)合并心血管疾病(CVD)与较差的临床预后相关。在二级预防的背景下,确定生物标志物对于预测T2DM的发生和进展至关重要。端粒长度(TL)是细胞衰老的标志,与氧化应激、炎症和代谢功能障碍(包括糖尿病相关并发症)有关。本研究旨在评估TL作为T2DM合并冠心病(CHD)患者的潜在生物标志物。方法:我们从CORDIOPREV研究中纳入956例具有可用TL数据的患者。根据饮食干预结束时的糖尿病状况对参与者进行分类:407人没有2型糖尿病,549人被归类为患有2型糖尿病。用定量PCR法测定TL。TL值低于研究人群第20百分位数的患者被归类为端粒短。结果:T2DM患者的TL明显短于非T2DM患者(1.26±0.74∶1.38±0.84;p=0.026)。TL每增加1个标准差,患T2DM的风险降低17% (OR 0.83, 95% CI 0.69-0.98)。结论:较短的TL与冠心病患者存在T2DM相关,支持其在二级预防中作为T2DM风险的独立生物标志物的潜在作用。
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引用次数: 0
Comparative performance of machine learning vs classical formulas for LDL-cholesterol calculation. 机器学习与ldl -胆固醇计算经典公式的比较性能。
IF 1.9 Q3 PERIPHERAL VASCULAR DISEASE Pub Date : 2025-12-08 DOI: 10.1016/j.arteri.2025.500887
Salomón Martín Pérez, Remo Suppi, Teresa Arrobas Velilla, Francisco de Borja Téllez Hernández, Antonio León-Justel

Introduction: Low-density lipoprotein cholesterol (LDL-C) is a significant cardiovascular risk factor, as direct measurement is expensive and often unavailable in most clinical laboratories. The Friedewald formula (FD), despite its widespread use since 1972, has notable limitations, especially at high triglyceride levels and low LDL-C concentrations. Machine learning (ML) techniques offer promising alternatives for accurate LDL-C estimation, potentially overcoming traditional formula limitations by leveraging complex pattern recognition in lipid profile data.

Material and methods: This retrospective study analyzed 34,678 lipid profiles from patients over 18 years attending Hospital Virgen Macarena, Seville (January 2021-December 2022). The study was approved by the Ethics Committee (CEI HVM-VR_03/2024). All lipid parameters (total cholesterol, triglycerides, HDL-C, LDL-C) were measured using Cobas 6000 analyzer. Twenty-two machine learning models were developed using Python's PyCaret library with 80/20 train-test split. Models included Linear Regression, Random Forest, XGBoost, LightGBM, and Gradient Boosting among others. Performance was evaluated using coefficient of determination (R2), mean absolute error (MAE), and root mean square error (RMSE). Four triglyceride subgroups were analyzed: <150, 150-250, 250-400, and >400mg/dL.

Results: The dataset comprised 34,678 individuals with mean values: total cholesterol 204.6±73.36mg/dL, triglycerides 203.95±143.94mg/dL, HDL-C 51.83±18.45mg/dL, and LDL-C 120.38±62.29mg/dL. LightGBM achieved the highest performance (R2=0.965, RMSE=11.35, MAE=7.99), followed by Gradient Boosting (R2=0.962, RMSE=11.89, MAE=7.87) and XGBoost (R2=0.958, RMSE=12.49, MAE=8.3). Traditional formulas showed inferior performance: Martin-Hopkins (R2=0.951, RMSE=13.82, MAE=9.3) and Friedewald (R2=0.926, RMSE=16.92, MAE=11.97). Performance differences were more pronounced at triglyceride levels≥250mg/dL, with ML models maintaining R2>0.92 while classical formulas deteriorated significantly, particularly Friedewald (R2=0.34) at triglycerides>400mg/dL.

Conclusions: Machine learning models, particularly boosting algorithms (LightGBM, Gradient Boosting, XGBoost), significantly outperformed traditional LDL-C calculation formulas across all triglyceride ranges. These AI-based approaches yielded superior accuracy and robustness, especially in challenging clinical scenarios with elevated triglycerides where conventional formulas fail. Implementation of ML models in clinical laboratories could provide more reliable LDL-C estimations, contributing to improved cardiovascular risk stratification and patient management. This technological advancement represents a promising transformation in laboratory medicine methodology.

低密度脂蛋白胆固醇(LDL-C)是一个重要的心血管危险因素,因为直接测量是昂贵的,而且在大多数临床实验室通常无法获得。弗里德瓦尔德公式(FD),尽管自1972年以来被广泛使用,但有明显的局限性,特别是在高甘油三酯水平和低LDL-C浓度时。机器学习(ML)技术为准确估计LDL-C提供了有希望的替代方法,通过利用脂质谱数据中的复杂模式识别,有可能克服传统公式的限制。材料和方法:本回顾性研究分析了来自塞维利亚Virgen Macarena医院(2021年1月至2022年12月)18年以上患者的34,678例脂质谱。该研究已获得伦理委员会批准(CEI HVM-VR_03/2024)。所有脂质参数(总胆固醇、甘油三酯、HDL-C、LDL-C)均采用Cobas 6000分析仪测定。使用Python的PyCaret库以80/20训练-测试分割开发了22个机器学习模型。模型包括线性回归、随机森林、XGBoost、LightGBM和梯度增强等。使用决定系数(R2)、平均绝对误差(MAE)和均方根误差(RMSE)对性能进行评价。分析了四个甘油三酯亚组:400mg/dL。结果:该数据集包括34,678名个体,平均值:总胆固醇204.6±73.36mg/dL,甘油三酯203.95±143.94mg/dL, HDL-C 51.83±18.45mg/dL, LDL-C 120.38±62.29mg/dL。LightGBM的效果最好(R2=0.965, RMSE=11.35, MAE=7.99),其次是Gradient Boosting (R2=0.962, RMSE=11.89, MAE=7.87)和XGBoost (R2=0.958, RMSE=12.49, MAE=8.3)。传统配方的疗效较差:Martin-Hopkins (R2=0.951, RMSE=13.82, MAE=9.3)和Friedewald (R2=0.926, RMSE=16.92, MAE=11.97)。当甘油三酯水平≥250mg/dL时,性能差异更为明显,ML模型的R2维持在0.92,而经典公式的R2明显恶化,特别是在甘油三酯水平400mg/dL时,Friedewald (R2=0.34)。结论:机器学习模型,特别是增强算法(LightGBM, Gradient boosting, XGBoost),在所有甘油三酯范围内都明显优于传统的LDL-C计算公式。这些基于人工智能的方法产生了卓越的准确性和稳健性,特别是在具有挑战性的甘油三酯升高的临床场景中,传统的配方失败了。在临床实验室实施ML模型可以提供更可靠的LDL-C估计,有助于改善心血管风险分层和患者管理。这一技术进步代表了检验医学方法论的一个有希望的转变。
{"title":"Comparative performance of machine learning vs classical formulas for LDL-cholesterol calculation.","authors":"Salomón Martín Pérez, Remo Suppi, Teresa Arrobas Velilla, Francisco de Borja Téllez Hernández, Antonio León-Justel","doi":"10.1016/j.arteri.2025.500887","DOIUrl":"https://doi.org/10.1016/j.arteri.2025.500887","url":null,"abstract":"<p><strong>Introduction: </strong>Low-density lipoprotein cholesterol (LDL-C) is a significant cardiovascular risk factor, as direct measurement is expensive and often unavailable in most clinical laboratories. The Friedewald formula (FD), despite its widespread use since 1972, has notable limitations, especially at high triglyceride levels and low LDL-C concentrations. Machine learning (ML) techniques offer promising alternatives for accurate LDL-C estimation, potentially overcoming traditional formula limitations by leveraging complex pattern recognition in lipid profile data.</p><p><strong>Material and methods: </strong>This retrospective study analyzed 34,678 lipid profiles from patients over 18 years attending Hospital Virgen Macarena, Seville (January 2021-December 2022). The study was approved by the Ethics Committee (CEI HVM-VR_03/2024). All lipid parameters (total cholesterol, triglycerides, HDL-C, LDL-C) were measured using Cobas 6000 analyzer. Twenty-two machine learning models were developed using Python's PyCaret library with 80/20 train-test split. Models included Linear Regression, Random Forest, XGBoost, LightGBM, and Gradient Boosting among others. Performance was evaluated using coefficient of determination (R<sup>2</sup>), mean absolute error (MAE), and root mean square error (RMSE). Four triglyceride subgroups were analyzed: <150, 150-250, 250-400, and >400mg/dL.</p><p><strong>Results: </strong>The dataset comprised 34,678 individuals with mean values: total cholesterol 204.6±73.36mg/dL, triglycerides 203.95±143.94mg/dL, HDL-C 51.83±18.45mg/dL, and LDL-C 120.38±62.29mg/dL. LightGBM achieved the highest performance (R<sup>2</sup>=0.965, RMSE=11.35, MAE=7.99), followed by Gradient Boosting (R<sup>2</sup>=0.962, RMSE=11.89, MAE=7.87) and XGBoost (R<sup>2</sup>=0.958, RMSE=12.49, MAE=8.3). Traditional formulas showed inferior performance: Martin-Hopkins (R<sup>2</sup>=0.951, RMSE=13.82, MAE=9.3) and Friedewald (R<sup>2</sup>=0.926, RMSE=16.92, MAE=11.97). Performance differences were more pronounced at triglyceride levels≥250mg/dL, with ML models maintaining R<sup>2</sup>>0.92 while classical formulas deteriorated significantly, particularly Friedewald (R<sup>2</sup>=0.34) at triglycerides>400mg/dL.</p><p><strong>Conclusions: </strong>Machine learning models, particularly boosting algorithms (LightGBM, Gradient Boosting, XGBoost), significantly outperformed traditional LDL-C calculation formulas across all triglyceride ranges. These AI-based approaches yielded superior accuracy and robustness, especially in challenging clinical scenarios with elevated triglycerides where conventional formulas fail. Implementation of ML models in clinical laboratories could provide more reliable LDL-C estimations, contributing to improved cardiovascular risk stratification and patient management. This technological advancement represents a promising transformation in laboratory medicine methodology.</p>","PeriodicalId":45230,"journal":{"name":"Clinica e Investigacion en Arteriosclerosis","volume":" ","pages":"500887"},"PeriodicalIF":1.9,"publicationDate":"2025-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145716118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Telomere length is associated with arterial damage in the CORDIOPREV study. 在CORDIOPREV研究中,端粒长度与动脉损伤有关。
IF 1.9 Q3 PERIPHERAL VASCULAR DISEASE Pub Date : 2025-12-02 DOI: 10.1016/j.arteri.2025.500878
Ana Ojeda-Rodriguez, Maria Jose Parraga-Viudez, Alejandro López-Moreno, Alejandro Serrán-Jiménez, Alberto Díaz-Cáceres, Javier Arenas-Montes, José D Torres-Peña, Justo P Castaño, Javier Delgado-Lista, José López-Miranda

Background: Telomere length (TL) has emerged as a recognized biomarker of biological aging and cardiovascular risk. Several studies have associated short TL with increased incidence of cardiovascular disease and adverse outcomes. However, its value as a predictor of arterial injury remains unclear, especially in secondary prevention. This study examined the baseline association between TL and common carotid intima-media thickness (IMT-CC) in patients with coronary heart disease (CHD).

Methods: Of the 1002 CHD patients enrolled in the CORDIOPREV study, 903 completed baseline assessments of IMT-CC and TL. IMT-CC was measured bilaterally using high-resolution B-mode Doppler ultrasonography and categorized, according to the European Society of Cardiology guidelines, into three groups reflecting arterial injury: <0.7mm, 0.7-0.9mm, and ≥0.9mm. TL was determined using the quantitative PCR method. Patients were classified as at risk of short TL if their value was below the 20th percentile, and as non-risk if above this threshold.

Results: Patients with the highest IMT-CC values (≥0.9mm) had significantly shorter TL compared to those in the lowest group (<0.7mm, p=0.005), with a progressive decrease across IMT-CC categories (p for trend=0.02). The proportion of participants at risk of short telomeres increased significantly from 15% to 30% across these categories (p<0.001). In addition, the highest IMT-CC group showed a twofold greater risk of short telomeres compared to the reference group (<0.7mm; OR 2.373, 95%CI 1.4962-3.764), while no significant association was observed for the intermediate IMT-CC group (0.7-0.9mm; OR 1.352, 95%CI 0.896-2.039).

Conclusions: In CHD patients, shorter TL is associated to advanced subclinical arterial damage, supporting its potential role as a complementary biomarker for vascular aging and improved risk stratification in secondary prevention.

背景:端粒长度(TL)已成为公认的生物衰老和心血管风险的生物标志物。一些研究表明,短TL与心血管疾病发病率增加和不良后果有关。然而,其作为动脉损伤预测指标的价值尚不清楚,特别是在二级预防方面。本研究探讨了冠心病(CHD)患者TL与颈总动脉内膜-中膜厚度(IMT-CC)之间的基线相关性。方法:在纳入CORDIOPREV研究的1002例冠心病患者中,903例完成了IMT-CC和TL的基线评估。IMT-CC采用高分辨率b型多普勒超声双侧测量,并根据欧洲心脏病学会指南分为反映动脉损伤的三组:结果:IMT-CC值最高的患者(≥0.9mm)的TL明显短于IMT-CC值最低的患者。在冠心病患者中,较短的TL与晚期亚临床动脉损伤相关,支持其作为血管老化和改善二级预防风险分层的补充生物标志物的潜在作用。
{"title":"Telomere length is associated with arterial damage in the CORDIOPREV study.","authors":"Ana Ojeda-Rodriguez, Maria Jose Parraga-Viudez, Alejandro López-Moreno, Alejandro Serrán-Jiménez, Alberto Díaz-Cáceres, Javier Arenas-Montes, José D Torres-Peña, Justo P Castaño, Javier Delgado-Lista, José López-Miranda","doi":"10.1016/j.arteri.2025.500878","DOIUrl":"https://doi.org/10.1016/j.arteri.2025.500878","url":null,"abstract":"<p><strong>Background: </strong>Telomere length (TL) has emerged as a recognized biomarker of biological aging and cardiovascular risk. Several studies have associated short TL with increased incidence of cardiovascular disease and adverse outcomes. However, its value as a predictor of arterial injury remains unclear, especially in secondary prevention. This study examined the baseline association between TL and common carotid intima-media thickness (IMT-CC) in patients with coronary heart disease (CHD).</p><p><strong>Methods: </strong>Of the 1002 CHD patients enrolled in the CORDIOPREV study, 903 completed baseline assessments of IMT-CC and TL. IMT-CC was measured bilaterally using high-resolution B-mode Doppler ultrasonography and categorized, according to the European Society of Cardiology guidelines, into three groups reflecting arterial injury: <0.7mm, 0.7-0.9mm, and ≥0.9mm. TL was determined using the quantitative PCR method. Patients were classified as at risk of short TL if their value was below the 20th percentile, and as non-risk if above this threshold.</p><p><strong>Results: </strong>Patients with the highest IMT-CC values (≥0.9mm) had significantly shorter TL compared to those in the lowest group (<0.7mm, p=0.005), with a progressive decrease across IMT-CC categories (p for trend=0.02). The proportion of participants at risk of short telomeres increased significantly from 15% to 30% across these categories (p<0.001). In addition, the highest IMT-CC group showed a twofold greater risk of short telomeres compared to the reference group (<0.7mm; OR 2.373, 95%CI 1.4962-3.764), while no significant association was observed for the intermediate IMT-CC group (0.7-0.9mm; OR 1.352, 95%CI 0.896-2.039).</p><p><strong>Conclusions: </strong>In CHD patients, shorter TL is associated to advanced subclinical arterial damage, supporting its potential role as a complementary biomarker for vascular aging and improved risk stratification in secondary prevention.</p>","PeriodicalId":45230,"journal":{"name":"Clinica e Investigacion en Arteriosclerosis","volume":" ","pages":"500878"},"PeriodicalIF":1.9,"publicationDate":"2025-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145670216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Utilidad de la grasa corporal y visceral determinada por bioimpedanciometría frente al índice de masa corporal y el perímetro de cintura en la identificación de valores elevados de diferentes escalas de riesgo de aterogénesis 生物阻抗测定的身体和内脏脂肪与体重指数和腰围在识别不同动脉粥样硬化风险等级升高值中的作用
IF 1.9 Q3 PERIPHERAL VASCULAR DISEASE Pub Date : 2025-11-01 DOI: 10.1016/j.arteri.2025.500772
María Gordito Soler , José Ignacio Ramírez-Manent , Pedro Juan Tárraga López , Emilio Martínez-Almoyna Rifá , Hernán Paublini , Ángel Arturo López González

Introduction

Obesity and atherogenesis are two highly prevalent pathological processes worldwide that also share several pathophysiological mechanisms.

Objectives

Descriptive and cross-sectional study in 8,590 Spanish workers (4,104 men and 4,486 women) with an average age of 41.5 years, in which the usefulness of four scales of overweight and obesity such as body mass index (BMI), waist circumference and percentages of body and visceral fat determined by bioimpedance measurement to identify high levels of atherogenic risk determined by atherogenic dyslipidemia (AD), lipid triad (LT) and several atherogenic indices is assessed.

Results

All the overweight and obesity scales show a predictive value between moderate and good, determined by the AUC of the ROC curves, with values ranging from 0.727 to 0.886 in women and 0.676 to 0.885 in men. Of all of them, the one with the highest AUC is visceral fat with values exceeding 0.800 and the lowest are for BMI. In all cases, the AUC is higher in women.

Conclusions

The overweight and obesity scales analysed (BMI, waist circumference and percentage of body and visceral fat) show AUCs for predicting atherogenic risk between moderate and high, with visceral fat being the most useful of all.
肥胖和动脉粥样硬化是世界范围内两种非常普遍的病理过程,它们也有一些共同的病理生理机制。目的:对平均年龄为41.5岁的8,590名西班牙工人(4,104名男性和4,486名女性)进行描述性和横断面研究,评估四种超重和肥胖量表的有效性,如体重指数(BMI)、腰围和生物阻抗测量确定的身体和内脏脂肪百分比,以确定由动脉粥样硬化性血脂异常(AD)、脂质三联症(LT)和几种动脉粥样硬化指标确定的高水平动脉粥样硬化风险。结果:通过ROC曲线的AUC,所有超重和肥胖量表的预测值均介于中度和良好之间,女性的预测值为0.727 ~ 0.886,男性的预测值为0.676 ~ 0.885。其中,AUC最高的是内脏脂肪,其值超过0.800,最低的是BMI。在所有情况下,女性的AUC都较高。结论:所分析的超重和肥胖量表(BMI、腰围、身体和内脏脂肪百分比)显示,auc在预测动脉粥样硬化风险方面处于中等和高度之间,其中内脏脂肪是最有用的。
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引用次数: 0
Myeloproliferative neoplasms: A model of the journey from clonal hematopoiesis to cardiovascular disease and cancer 骨髓增生性肿瘤:从克隆造血到心血管疾病和癌症的一个模型。
IF 1.9 Q3 PERIPHERAL VASCULAR DISEASE Pub Date : 2025-11-01 DOI: 10.1016/j.arteri.2025.500767
Santiago Redondo
In the last decade, the coming of next-generation sequencing and its application to large human populations is breaking the barrier between inflammation and cancer. Indeed, acquired mutations in key genes that regulate hematopoiesis and thus confer a selective advantage in the proliferation of hematopoietic progenitors have established the concept of clonal hematopoiesis of indeterminate potential or CHIP. A growing body of clinical and experimental evidence is highlighting the link between CHIP and adverse outcomes, in particular atherosclerotic cardiovascular disease and cancer. The apparent surprise about how these two different entities share common mechanisms can be explained by myeloproliferation and inflammation. These mechanisms are involved not only in the development of myeloid tumors but also in atherogenesis. Myeloproliferative neoplasms or MPN are a type of myeloid tumors where thrombotic risk is increased not only by higher blood counts but also by means of an accelerated atherosclerosis. Therefore, myeloproliferative neoplasms are a model of the link between clonal hematopoiesis and atherosclerotic cardiovascular disease. The concept of CHIP has important clinical applications. A deeper understanding of these mechanisms may pave the way for the future early diagnosis and potential pre-emptive treatments of these two major causes of death.
在过去的十年中,下一代测序技术的到来及其在大量人群中的应用正在打破炎症和癌症之间的屏障。事实上,调节造血的关键基因的获得性突变,从而赋予造血祖细胞增殖的选择性优势,已经建立了不确定电位克隆造血或CHIP的概念。越来越多的临床和实验证据正在强调CHIP与不良后果之间的联系,特别是动脉粥样硬化性心血管疾病和癌症。骨髓增生和炎症可以解释这两种不同的实体如何共享共同的机制。这些机制不仅涉及髓系肿瘤的发展,也涉及动脉粥样硬化的发生。髓细胞增生性肿瘤或MPN是一种髓系肿瘤,其血栓形成的风险不仅通过较高的血球计数增加,而且通过加速动脉粥样硬化的方式增加。因此,骨髓增生性肿瘤是克隆造血和动脉粥样硬化性心血管疾病之间联系的一个模型。CHIP的概念具有重要的临床应用。对这些机制的深入了解可能为未来对这两种主要死亡原因的早期诊断和潜在的先发制人的治疗铺平道路。
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引用次数: 0
Impact of therapeutic inertia in lipid-lowering therapy in patients at very high cardiovascular risk 治疗惯性对高危心血管患者降脂治疗的影响
IF 1.9 Q3 PERIPHERAL VASCULAR DISEASE Pub Date : 2025-11-01 DOI: 10.1016/j.arteri.2025.500773
Juan Cosín Sales , Carlos Escobar Cervantes , José Javier Gómez-Barrado , José Manuel Andreu Cayuelas , Abel García del Egido , Jorge Joaquín Castro Martín , Ana Isabel Huelmos Rodrigo , Miguel Corbi-Pascual , Ariana Varela Cancelo , Rafael Vidal-Pérez , Leticia Fernandez-Friera , Enrique Santas Olmeda , Almudena Aguilera-Saborido , Antonio Fernández Romero , Antonio Sánchez Hidalgo , Francisco Pérez-Sádaba , Román Freixa-Pamias

Aims

A high number of patients do not achieve the therapeutic goals set by clinical practice guidelines, despite the therapeutic alternatives that currently exist in lipid-lowering treatment (LLT). This study aimed to estimate the proportion of patients who have recently suffered an acute coronary syndrome (ACS) who do not meet the therapeutic goal with LLT and the proportion of routine follow-up visits where therapeutic inertia (TI) occurs.

Methods

A retrospective study chart review was conducted in 13 Spanish centres. Patients aged ≥18 years who suffered an ACS event in the last two years and had received LLT were included. Sociodemographic, clinical, treatment and participating centre/physician-related variables were collected. TI was considered when a visit did not result in a change in the patient's therapy despite the non-achievement of therapeutic goals. Descriptive analysis was performed, and factors associated with TI were evaluated using logistic regression.

Results

159 patients were included (mean age 63.08 years old, 80.5% male) and 338 follow-up visits were analysed. Over 50% of the patients did not meet the therapeutic target and TI was estimated in 39.13% of visits. Some factors were associated with a lower risk of TI: professional experience, number of vessels affected, and diabetes. And others with higher risk: being female, previous CV pathology and a complete revascularisation.

Conclusion

The management of patients after ACS is still suboptimal. The importance of clinical inertia in ACS remains a real awareness and active strategies will help mitigate this phenomenon due to the risk of recurrent ACS.
目的:尽管目前存在降脂治疗(LLT)的治疗方案,但仍有大量患者未达到临床实践指南设定的治疗目标。本研究旨在估计近期急性冠脉综合征(ACS)患者在LLT治疗中未达到治疗目标的比例,以及常规随访中出现治疗惰性(TI)的比例。方法:对13个西班牙中心进行回顾性研究。年龄≥18岁且在过去两年内发生过ACS事件并接受过LLT的患者被纳入研究。收集社会人口学、临床、治疗和参与中心/医生相关变量。当访问没有导致患者治疗的改变,尽管没有达到治疗目标时,TI被考虑。进行描述性分析,并使用逻辑回归评估与TI相关的因素。结果:共纳入159例患者,平均年龄63.08岁,男性80.5%,随访338次。超过50%的患者没有达到治疗目标,估计有39.13%的患者有TI。一些因素与较低的TI风险相关:专业经验、受影响的血管数量和糖尿病。其他高风险人群:女性、既往心血管病变和完全血管重建。结论:急性冠脉综合征后患者的管理仍不理想。临床惯性在ACS中的重要性仍然是一个真正的意识和积极的策略将有助于减轻这种现象,由于ACS复发的风险。
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引用次数: 0
Utilidad del estudio de la grasa visceral para una estratificación precoz del riesgo aterogénico: de la antropometría convencional a las medidas más precisas 内脏脂肪研究对动脉粥样硬化风险的早期分层的作用:从传统的人体测量到最精确的测量
IF 1.9 Q3 PERIPHERAL VASCULAR DISEASE Pub Date : 2025-11-01 DOI: 10.1016/j.arteri.2025.500874
Francisco Martín Luján , Rosa Solà Alberich
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引用次数: 0
期刊
Clinica e Investigacion en Arteriosclerosis
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