已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Serum metabolomics improves risk stratification for incident heart failure

医学 代谢物 代谢组学 内科学 置信区间 心力衰竭 代谢组 比例危险模型 队列 心脏病学 生物信息学 生物
作者
Rafael R. Oexner,Hyunchan Ahn,Konstantinos Theofilatos,Ravi A. Shah,R Schmitt,Phil Chowienczyk,Anna Zoccarato,Ajay M. Shah
出处
期刊:European Journal of Heart Failure [Elsevier BV]
卷期号:26 (4): 829-840 被引量:4
标识
DOI:10.1002/ejhf.3226
摘要

Abstract Aims Prediction and early detection of heart failure (HF) is crucial to mitigate its impact on quality of life, survival, and healthcare expenditure. Here, we explored the predictive value of serum metabolomics (168 metabolites detected by proton nuclear magnetic resonance [ 1 H‐NMR] spectroscopy) for incident HF. Methods and results Leveraging data of 68 311 individuals and >0.8 million person‐years of follow‐up from the UK Biobank cohort, we (i) fitted per‐metabolite Cox proportional hazards models to assess individual metabolite associations, and (ii) trained and validated elastic net models to predict incident HF using the serum metabolome. We benchmarked discriminative performance against a comprehensive, well‐validated clinical risk score (Pooled Cohort Equations to Prevent HF [PCP‐HF]). During a median follow‐up of ≈12.3 years, several metabolites showed independent association with incident HF (90/168 adjusting for age and sex, 48/168 adjusting for PCP‐HF). Performance‐optimized risk models effectively retained key predictors representing highly correlated clusters (≈80% feature reduction). Adding metabolomics to PCP‐HF improved predictive performance (Harrel's C: 0.768 vs. 0.755, ΔC = 0.013, [95% confidence interval [CI] 0.004–0.022], continuous net reclassification improvement [NRI]: 0.287 [95% CI 0.200–0.367], relative integrated discrimination improvement [IDI]: 17.47% [95% CI 9.463–27.825]). Models including age, sex and metabolomics performed almost as well as PCP‐HF (Harrel's C: 0.745 vs. 0.755, ΔC = 0.010 [95% CI −0.004 to 0.027], continuous NRI: 0.097 [95% CI −0.025 to 0.217], relative IDI: 13.445% [95% CI −10.608 to 41.454]). Risk and survival stratification was improved by integrating metabolomics. Conclusion Serum metabolomics improves incident HF risk prediction over PCP‐HF. Scores based on age, sex and metabolomics exhibit similar predictive power to clinically‐based models, potentially offering a cost‐effective, standardizable, and scalable single‐domain alternative.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
CC完成签到,获得积分10
刚刚
支浩阑完成签到,获得积分10
刚刚
好呀好呀发布了新的文献求助10
3秒前
小枣完成签到 ,获得积分10
5秒前
Eunice完成签到,获得积分10
7秒前
CC发布了新的文献求助10
7秒前
gjx完成签到 ,获得积分10
9秒前
CJY完成签到 ,获得积分10
9秒前
WilliamJarvis完成签到 ,获得积分10
10秒前
大胆灵竹发布了新的文献求助10
11秒前
明亮的遥完成签到 ,获得积分0
13秒前
13秒前
up完成签到 ,获得积分10
13秒前
wanci应助深情夏彤采纳,获得10
14秒前
程艳完成签到 ,获得积分10
14秒前
科研通AI5应助zm_qian采纳,获得10
15秒前
17秒前
Wang_JN完成签到 ,获得积分10
17秒前
ASXC完成签到,获得积分20
17秒前
皮卡丘发布了新的文献求助10
18秒前
哔噗哔噗完成签到 ,获得积分10
19秒前
乐乐乐乐乐乐应助momo采纳,获得10
21秒前
ASXC发布了新的文献求助10
21秒前
22秒前
LIU完成签到 ,获得积分10
22秒前
成就书雪完成签到 ,获得积分10
22秒前
duohao2023发布了新的文献求助30
22秒前
mjsdx完成签到,获得积分10
23秒前
27秒前
pengtao919发布了新的文献求助10
27秒前
科目三应助大胆灵竹采纳,获得10
29秒前
zozox完成签到 ,获得积分10
30秒前
友好旭尧发布了新的文献求助10
31秒前
林夕完成签到 ,获得积分10
33秒前
mjsdx发布了新的文献求助10
34秒前
七月完成签到,获得积分10
36秒前
光能使者完成签到,获得积分10
38秒前
44秒前
友好旭尧完成签到,获得积分10
47秒前
47秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 350
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
Aktuelle Entwicklungen in der linguistischen Forschung 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3989957
求助须知:如何正确求助?哪些是违规求助? 3532034
关于积分的说明 11256000
捐赠科研通 3270880
什么是DOI,文献DOI怎么找? 1805070
邀请新用户注册赠送积分活动 882252
科研通“疑难数据库(出版商)”最低求助积分说明 809216