Ceramide-based risk score CERT-1 improves risk prediction for overall mortality and adverse cardiovascular outcomes in patients with and without cardiovascular disease: A prospective cohort study.
Alessandro Mantovani, Gianluigi Lunardi, Stefano Bonapace, Agustin E Molinero, Riccardo Morandin, Veronica Fiorio, Giulio Molon, Christopher D Byrne, Giovanni Targher
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引用次数: 0
Abstract
Aims: Whether the plasma-based ceramide-based risk score CERT1 improves risk prediction for cardiovascular disease (CVD) is uncertain.
Materials and methods: Baseline and follow-up data were combined from two cohorts, 334 patients with established/suspected CVD and 196 patients with type 2 diabetes followed for a median of 74 months (interquartile range 54-79 months). For the calculation of CERT1 risk score, we measured four specific plasma ceramides [Cer(d18:1/16:0), Cer(d18:1/18:0) and Cer(d18:1/24:1)] and their ratios to Cer(d18:1/24:0). Based on the CERT1 risk score, patients were split into four risk categories (low, moderate, increased or high risk). The primary outcome was a composite of overall mortality and incident nonfatal CVD outcomes (including myocardial infarction, ischaemic stroke or permanent atrial fibrillation).
Results: One hundred and thirty-nine patients developed the primary composite outcome (72 nonfatal CVD outcomes and 67 total deaths) during follow-up. Baseline CERT1 risk categories were significantly associated with the risk of developing the primary composite outcome (adjusted HR for high vs. low-risk category 2.43, 95% CI 1.39-4.22, p = 0.002, and adjusted HR for increased vs. low-risk category 2.16, 95% CI 1.28-3.63, p = 0.004). Receiver operator characteristic curve analysis showed that adding CERT1 risk score to traditional CVD risk factors and pre-existing CVD, improved the discriminatory capability of the regression model for predicting the primary composite outcome (AUROC 0.691 [95% CI 0.674-0.769] vs. 0.722 [95% CI 0.642-0.742], p = 0.0275).
Conclusions: The ceramide-based risk score CERT1 risk score improves risk prediction for long-term risk of overall mortality and adverse cardiovascular outcomes in patients with and without CVD.
目的:血浆神经酰胺风险评分(CERT1)是否能改善心血管疾病(CVD)的风险预测尚不确定。材料和方法:基线和随访数据来自两个队列,334例确诊/疑似心血管疾病患者和196例2型糖尿病患者,中位随访时间为74个月(四分位数间距54-79个月)。为了计算CERT1风险评分,我们测量了四种特定的血浆神经酰胺[Cer(d18:1/16:0), Cer(d18:1/18:0)和Cer(d18:1/24:1)]及其与Cer(d18:1/24:0)的比值。根据CERT1风险评分,将患者分为4个风险类别(低、中、增高或高风险)。主要终点是总死亡率和非致死性心血管疾病事件(包括心肌梗死、缺血性卒中或永久性心房颤动)的综合结果。结果:139例患者在随访期间出现主要复合结局(72例非致死性CVD结局和67例总死亡)。基线CERT1风险类别与发生主要综合结局的风险显著相关(高风险类别与低风险类别调整后的HR为2.43,95% CI 1.39-4.22, p = 0.002,高风险类别与低风险类别调整后的HR为2.16,95% CI 1.28-3.63, p = 0.004)。接收算子特征曲线分析显示,将CERT1风险评分加入传统CVD危险因素和已存在CVD,提高了回归模型预测主要复合结局的判别能力(AUROC为0.691 [95% CI 0.674-0.769] vs. 0.722 [95% CI 0.642-0.742], p = 0.0275)。结论:基于神经酰胺的风险评分CERT1风险评分提高了有或无心血管疾病患者长期总死亡率风险和不良心血管结局的风险预测。
期刊介绍:
Diabetes, Obesity and Metabolism is primarily a journal of clinical and experimental pharmacology and therapeutics covering the interrelated areas of diabetes, obesity and metabolism. The journal prioritises high-quality original research that reports on the effects of new or existing therapies, including dietary, exercise and lifestyle (non-pharmacological) interventions, in any aspect of metabolic and endocrine disease, either in humans or animal and cellular systems. ‘Metabolism’ may relate to lipids, bone and drug metabolism, or broader aspects of endocrine dysfunction. Preclinical pharmacology, pharmacokinetic studies, meta-analyses and those addressing drug safety and tolerability are also highly suitable for publication in this journal. Original research may be published as a main paper or as a research letter.