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.

IF 5.4 2区 医学 Q1 ENDOCRINOLOGY & METABOLISM Diabetes, Obesity & Metabolism Pub Date : 2024-12-26 DOI:10.1111/dom.16156
Alessandro Mantovani, Gianluigi Lunardi, Stefano Bonapace, Agustin E Molinero, Riccardo Morandin, Veronica Fiorio, Giulio Molon, Christopher D Byrne, Giovanni Targher
{"title":"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.","authors":"Alessandro Mantovani, Gianluigi Lunardi, Stefano Bonapace, Agustin E Molinero, Riccardo Morandin, Veronica Fiorio, Giulio Molon, Christopher D Byrne, Giovanni Targher","doi":"10.1111/dom.16156","DOIUrl":null,"url":null,"abstract":"<p><strong>Aims: </strong>Whether the plasma-based ceramide-based risk score CERT1 improves risk prediction for cardiovascular disease (CVD) is uncertain.</p><p><strong>Materials and methods: </strong>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).</p><p><strong>Results: </strong>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).</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":158,"journal":{"name":"Diabetes, Obesity & Metabolism","volume":" ","pages":""},"PeriodicalIF":5.4000,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Diabetes, Obesity & Metabolism","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/dom.16156","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
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.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
神经酰胺风险评分CERT-1提高了有或无心血管疾病患者总死亡率和不良心血管结局的风险预测:一项前瞻性队列研究
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Diabetes, Obesity & Metabolism
Diabetes, Obesity & Metabolism 医学-内分泌学与代谢
CiteScore
10.90
自引率
6.90%
发文量
319
审稿时长
3-8 weeks
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.
期刊最新文献
Effect of iGlarLixi on continuous glucose monitoring-measured time in range in insulin-naive adults with suboptimally controlled type 2 diabetes. MiniMed 780G system performance in older users with type 1 diabetes: Real-world evidence and the case for stricter glycaemic targets. Survey among adult users of semaglutide for weight loss in Denmark: User characteristics, treatment expectations and experienced effects. Concurrent SGLT2 inhibitor use in patients with type 2 diabetes hospitalised for high-dose corticosteroid therapy: Mitigated iatrogenic hyperglycaemia. Fibroblast growth factor 23 predicts incident diabetic kidney disease: A 4.6-year prospective study.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1