改善心血管危险分层:腹部肥胖在预测mace中的作用。

IF 10.6 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS
Carlo De Matteis, Stefano Petruzzelli, Giusi Graziano, Fabio Novielli, Ersilia Di Buduo, Salvatore Cantatore, Elsa Berardi, Gianfranco Antonica, Maria Arconzo, Marica Cariello, Marilina Florio, Lucilla Crudele, Antonio Moschetta
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引用次数: 0

摘要

背景:准确的心血管风险(CVR)分层仍然具有挑战性,特别是在识别具有剩余风险的个体时,尽管有现有的筛查工具。腹部肥胖反映了内脏脂肪组织的代谢活跃,与促炎和动脉粥样硬化状态密切相关。本研究旨在评估基线心脏代谢危险因素的预测效用,特别关注以腰围(WC)量化的腹部肥胖,以及已建立的10年CVR评分,用于发生主要不良心血管事件(mace)。方法:我们前瞻性地随访了736例意大利内科门诊患者(男性347例,女性389例),这些患者最初没有mace。基线数据包括人体测量、生化指标、计算的Framingham风险评分(FRS)和SCORE2/SCORE2- op。根据国际糖尿病联合会代谢综合征(MetS)标准,腹部肥胖定义为男性腰围≥94 cm,女性腰围≥80 cm。在随访期间记录了事件mace。统计分析包括t检验、卡方检验、方差分析和逻辑回归。结果:在84.9个月的中位随访中,132名参与者(17.9%)发生了mace。基线腹部肥胖(78.1%)与mace事件显著相关(OR = 1.784, 95% CI = 1.04-3.118, p = 0.038),而bmi定义的肥胖没有这种关联(p = 0.394)。低高密度脂蛋白胆固醇也是一个关键的预测因子(OR = 1.672, 95% CI = 1.115-2.482, p = 0.012)。在多因素logistic回归中,调整了年龄和其他MetS因素,腹部肥胖(OR = 2.2, 95% CI = 1.6-4.2, p = 0.001)和低HDL-c (OR = 1.9, 95% CI = 1.4-3.5, p = 0.001)仍然与mace密切相关。值得注意的是,在SCORE2/SCORE2- op“中等风险”类别中的个体,尽管总体上不是最高风险,但表现出最高的基线LDL-c水平,并且占mace的最大比例(36.4%)。即使在没有腹部肥胖的参与者中,发生mace的参与者也有明显更高的WC (p)。结论:腹部肥胖和低HDL-c是心血管事件的有效独立预测指标,优于BMI等传统指标。再加上需要达到LDL-c血清目标水平,这些生物标志物对于揭示当前分层模型遗漏的剩余风险至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving cardiovascular risk stratification: the role of abdominal obesity in predicting MACEs.

Background: Accurate cardiovascular risk (CVR) stratification remains challenging, particularly in identifying individuals with residual risk despite current screening tools. Abdominal obesity reflects visceral adipose tissue, which is metabolically active and strongly linked to pro-inflammatory and atherogenic states. This study aimed to evaluate the predictive utility of baseline cardiometabolic risk factors, with a particular focus on abdominal obesity as quantified by waist circumference (WC), alongside established 10-year CVR scores, for incident Major Adverse Cardiovascular Events (MACEs).

Methods: We prospectively followed 736 outpatients (347 males, 389 females) from an Italian Internal Medicine Unit, initially free of MACEs. Baseline data included anthropometrics, biochemical markers, and calculated Framingham Risk Score (FRS) and SCORE2/SCORE2-OP. Abdominal obesity was defined according to the International Diabetes Federation criteria for Metabolic Syndrome (MetS) as a WC ≥ 94 cm in males and ≥ 80 cm in females. Incident MACEs were recorded during follow-up. Statistical analyses included t-tests, Chi-Square, ANOVA, and logistic regression.

Results: Over a median follow-up of 84.9 months, 132 participants (17.9%) developed MACEs. Baseline abdominal obesity, present in 78.1% of the cohort, was significantly associated with incident MACEs (OR = 1.784, 95% CI = 1.04-3.118, p = 0.038), whereas BMI-defined obesity showed no such association (p = 0.394). Low HDL-cholesterol also emerged as a key predictor (OR = 1.672, 95% CI = 1.115-2.482, p = 0.012). In multivariate logistic regression, adjusted for age and other MetS components, abdominal obesity (OR = 2.2, 95% CI = 1.6-4.2, p = 0.001) and low HDL-c (OR = 1.9, 95% CI = 1.4-3.5, p = 0.001) remained robustly associated with MACEs. Notably, individuals within the SCORE2/SCORE2-OP 'Moderate-Risk' category, despite not being the highest risk overall, exhibited the highest baseline LDL-c levels and accounted for the largest proportion of MACEs (36.4%). Even among participants without baseline abdominal obesity, those who developed MACEs had significantly higher WC (p < 0.0001) and lower HDL-c (p = 0.0078) at baseline.

Conclusion: Abdominal obesity and low HDL-c are potent, independent predictors of cardiovascular events, outperforming traditional markers like BMI. Together with the need of reaching LDL-c serum target levels, these biomarkers are crucial for unmasking the residual risk missed by current stratification models.

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来源期刊
Cardiovascular Diabetology
Cardiovascular Diabetology 医学-内分泌学与代谢
CiteScore
12.30
自引率
15.10%
发文量
240
审稿时长
1 months
期刊介绍: Cardiovascular Diabetology is a journal that welcomes manuscripts exploring various aspects of the relationship between diabetes, cardiovascular health, and the metabolic syndrome. We invite submissions related to clinical studies, genetic investigations, experimental research, pharmacological studies, epidemiological analyses, and molecular biology research in this field.
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