Aortic pulse wave velocity predicts cardiovascular mortality among middle-aged metabolic syndrome subjects without overt cardiovascular disease.

IF 3.9 2区 医学 Q2 NUTRITION & DIETETICS Nutrition & Metabolism Pub Date : 2024-12-02 DOI:10.1186/s12986-024-00875-z
Agnė Jucevičienė, Roma Puronaitė, Jolita Badarienė, Ligita Ryliškytė
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Abstract

Background: The objective of this cohort study was to assess the predictive value of main arterial markers for cardiovascular death in middle-aged subjects with metabolic syndrome (MetS).

Methods: This prospective longitudinal study analyzed data from 5829 metabolic syndrome subjects without overt cardiovascular disease aged between 40 and 64 years and enrolled in the Lithuanian High Cardiovascular Risk primary prevention program. Initial assessment comprised the evaluation of aortic pulse wave velocity (aPWV), carotid intima-media thickness (cIMT), carotid stiffness index, cardio-ankle vascular index (CAVI), ankle-brachial index (ABI), aortic augmentation index adjusted for a heart rate of 75 bpm (AIXHR75), and endothelium-dependent flow-mediated dilatation (FMD).

Results: During the mean follow-up period of 6.35 ± 2.99 years, 170 subjects (2.9%) had died, with 41 out of these deaths (24.1%) related to cardiovascular causes. Cox proportional hazard regression analysis revealed associations between cardiovascular deaths and increases in aPWV (HR 1.34, 95% CI 1.14-1.58, p < 0.001), CAVI (HR 1.28, 95% CI 1.09-1.50, p = 0.002), and cIMT (HR 1.004, 95% CI 1.001-1.006, p = 0.003), as well as a decrease in ABI (HR 0.020, 95% CI 0.001-0.359, p = 0.008). However, after adjustment for age and gender, only aPWV remained a statistically significant predictor. Common survival tree analysis foregrounded the predictive significance of C-reactive protein (CRP), as the primary variable associated with an increased risk of cardiovascular death, followed by aPWV and smoking as secondary and tertiary variables. The analysis also demonstrated sex-related differences: in women, the primary predictive variable was aPWV, whereas in men, CRP was identified as the primary variable, followed by CAVI and cIMT.

Conclusions: The findings of this study suggest that, among the markers of subclinical arterial damage, an increase in both aPWV and CAVI has a statistically significant predictive value for cardiovascular mortality in the middle-aged subjects with MetS. However, only aPWV demonstrated predictive value that was independent of age and gender.

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主动脉脉波速度预测无明显心血管疾病的中年代谢综合征患者的心血管死亡率。
背景:本队列研究的目的是评估主要动脉标志物对中年代谢综合征(MetS)患者心血管死亡的预测价值。方法:这项前瞻性纵向研究分析了5829名年龄在40至64岁之间无明显心血管疾病的代谢综合征受试者的数据,这些受试者参加了立陶宛高危心血管初级预防项目。初步评估包括评估主动脉脉搏波速度(aPWV)、颈动脉内膜-中膜厚度(cIMT)、颈动脉硬度指数、心踝血管指数(CAVI)、踝-肱血管指数(ABI)、心率为75 bpm调整的主动脉增强指数(AIXHR75)和内皮依赖性血流介导的扩张(FMD)。结果:在平均6.35±2.99年的随访期间,170例(2.9%)死亡,其中41例(24.1%)与心血管原因有关。Cox比例风险回归分析显示心血管死亡与aPWV升高之间存在关联(HR 1.34, 95% CI 1.14-1.58, p)。结论:本研究结果提示,在亚临床动脉损伤标志物中,aPWV和CAVI升高对中年MetS患者心血管死亡具有统计学意义的预测价值。然而,只有aPWV具有独立于年龄和性别的预测价值。
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来源期刊
Nutrition & Metabolism
Nutrition & Metabolism 医学-营养学
CiteScore
8.40
自引率
0.00%
发文量
78
审稿时长
4-8 weeks
期刊介绍: Nutrition & Metabolism publishes studies with a clear focus on nutrition and metabolism with applications ranging from nutrition needs, exercise physiology, clinical and population studies, as well as the underlying mechanisms in these aspects. The areas of interest for Nutrition & Metabolism encompass studies in molecular nutrition in the context of obesity, diabetes, lipedemias, metabolic syndrome and exercise physiology. Manuscripts related to molecular, cellular and human metabolism, nutrient sensing and nutrient–gene interactions are also in interest, as are submissions that have employed new and innovative strategies like metabolomics/lipidomics or other omic-based biomarkers to predict nutritional status and metabolic diseases. Key areas we wish to encourage submissions from include: -how diet and specific nutrients interact with genes, proteins or metabolites to influence metabolic phenotypes and disease outcomes; -the role of epigenetic factors and the microbiome in the pathogenesis of metabolic diseases and their influence on metabolic responses to diet and food components; -how diet and other environmental factors affect epigenetics and microbiota; the extent to which genetic and nongenetic factors modify personal metabolic responses to diet and food compositions and the mechanisms involved; -how specific biologic networks and nutrient sensing mechanisms attribute to metabolic variability.
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