• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

联合风险标志物可改善女性心血管风险预测。

Combining risk markers improves cardiovascular risk prediction in women.

机构信息

*Department of General Internal Medicine, Division of Vascular Medicine, Radboud University Nijmegen Medical Centre, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands.

出版信息

Clin Sci (Lond). 2014 Jan;126(2):139-46. doi: 10.1042/CS20130178.

DOI:10.1042/CS20130178
PMID:23879211
Abstract

Cardiovascular risk stratification could be improved by adding measures of atherosclerosis to current risk scores, especially in intermediate-risk individuals. We prospectively evaluated the additive value of different non-invasive risk markers (both individual and combined) for gender-specific cardiovascular risk stratification on top of traditional risk factors in a middle-aged population-based cohort. Carotid-plaques, IMT (intima-media thickness), ABI (ankle-brachial index), PWV (pulse-wave velocity), AIx (augmentation index), CAP (central augmented pressure) and CSP (central-systolic pressure) were measured in 1367 CVD (cardiovascular disease)-free participants aged 50-70 years old. Cardiovascular events were validated after a mean follow-up of 3.8 years. AUC (area-under-the-curve) and NRI (net reclassification improvement) analyses (total-NRI for all and clinical-NRI for intermediate-risk groups) were used to determine the additive value of individual and combined risk markers. Cardiovascular events occurred in 32 women and 39 men. Traditional cardiovascular risk factors explained 6.2% and 12.5% of the variance in CVD in women and men respectively. AUCs did not substantially increase by adding individual or combined non-invasive risk markers. Individual risk markers only improved reclassification in intermediate-risk women and more than in men; clinical-NRIs ranged between 48.0 and 173.1% in women and 8.9 and 20% in men. Combined non-invasive-risk markers improved reclassification in all women and even more in those at intermediate risk; 'IMT-presence-thickness-of-plaques' showed largest reclassification [total-NRI=33.8%, P=0.012; IDI (integrated-discrimination-improvement)=0.048, P=0.066; clinical-NRI=168.0%]. In men, combined non-invasive risk markers improved reclassification only in those at intermediate risk; 'PWV-AIx-CSP-CAP-IMT' showed the largest reclassification (total-NRI=14.5%, P=0.087; IDI=0.016, P=0.148; clinical-NRI=46.0%). In all women, cardiovascular risk stratification improved by adding combinations and in women at intermediate risk also by adding individual non-invasive risk markers. The additive value of individual and combined non-invasive risk markers in men is limited to men at intermediate risk only, and to a lesser extent than in women.

摘要

心血管风险分层可以通过在当前风险评分中添加动脉粥样硬化测量值来改善,尤其是在中危人群中。我们前瞻性地评估了不同的非侵入性风险标志物(个体和联合)在中年人群基础队列中对传统危险因素进行性别特异性心血管风险分层的附加价值。在无心血管疾病的 1367 名年龄在 50-70 岁的参与者中测量了颈动脉斑块、IMT(内膜-中层厚度)、ABI(踝臂指数)、PWV(脉搏波速度)、AIx(增强指数)、CAP(中心增强压力)和 CSP(中心收缩压)。在平均 3.8 年的随访后,验证了心血管事件。使用 AUC(曲线下面积)和 NRI(净重新分类改善)分析(所有人群的总 NRI 和中危人群的临床 NRI)来确定个体和联合风险标志物的附加价值。在 32 名女性和 39 名男性中发生了心血管事件。传统心血管危险因素分别解释了女性和男性 CVD 中 6.2%和 12.5%的方差。添加个体或联合非侵入性风险标志物并未显著增加 AUC。个体风险标志物仅改善了中危女性的重新分类,且效果优于男性;临床 NRI 范围在女性为 48.0%至 173.1%,在男性为 8.9%至 20%。联合非侵入性风险标志物改善了所有女性的重新分类,在中危女性中甚至更多;“IMT-存在-斑块厚度”显示出最大的重新分类[总 NRI=33.8%,P=0.012;IDI(综合判别改善)=0.048,P=0.066;临床 NRI=168.0%]。在男性中,联合非侵入性风险标志物仅在中危人群中改善了重新分类;“PWV-AIx-CSP-CAP-IMT”显示出最大的重新分类(总 NRI=14.5%,P=0.087;IDI=0.016,P=0.148;临床 NRI=46.0%)。在所有女性中,通过添加组合,女性中危人群也通过添加个体非侵入性风险标志物,心血管风险分层得到改善。个体和联合非侵入性风险标志物的附加价值在男性中仅限于中危男性,而且程度低于女性。

相似文献

1
Combining risk markers improves cardiovascular risk prediction in women.联合风险标志物可改善女性心血管风险预测。
Clin Sci (Lond). 2014 Jan;126(2):139-46. doi: 10.1042/CS20130178.
2
Aortic pulse wave velocity and HeartSCORE: improving cardiovascular risk stratification. a sub-analysis of the EDIVA (Estudo de DIstensibilidade VAscular) project.主动脉脉搏波速度与心脏风险评分:改善心血管风险分层。EDIVA(血管扩张性研究)项目的一项亚分析。
Blood Press. 2014 Apr;23(2):109-15. doi: 10.3109/08037051.2013.823760. Epub 2013 Aug 14.
3
Adding low ankle brachial index to classical risk factors improves the prediction of major cardiovascular events. The REGICOR study.将低踝臂指数纳入经典危险因素可改善对主要心血管事件的预测。REGICOR研究。
Atherosclerosis. 2015 Aug;241(2):357-63. doi: 10.1016/j.atherosclerosis.2015.05.017. Epub 2015 May 28.
4
Dietary information improves cardiovascular disease risk prediction models.饮食信息可改善心血管疾病风险预测模型。
Eur J Clin Nutr. 2013 Jan;67(1):25-30. doi: 10.1038/ejcn.2012.175. Epub 2012 Nov 14.
5
Predictive Value of Arterial Stiffness and Subclinical Carotid Atherosclerosis for Cardiovascular Disease in Patients with Rheumatoid Arthritis.类风湿关节炎患者动脉僵硬度和亚临床颈动脉粥样硬化对心血管疾病的预测价值
J Rheumatol. 2016 Sep;43(9):1622-30. doi: 10.3899/jrheum.160053. Epub 2016 Jun 15.
6
Leukocyte subtype counts and its association with vascular structure and function in adults with intermediate cardiovascular risk. MARK study.白细胞亚群计数及其与中度心血管风险成年人血管结构和功能的关联。MARK研究。
PLoS One. 2015 Apr 17;10(4):e0119963. doi: 10.1371/journal.pone.0119963. eCollection 2015.
7
Effects of additional blood pressure and lipid measurements on the prediction of cardiovascular risk.血压和血脂附加测量对心血管风险预测的影响。
Eur J Prev Cardiol. 2012 Dec;19(6):1474-85. doi: 10.1177/1741826711424494. Epub 2011 Sep 26.
8
High aortic augmentation index predicts mortality and cardiovascular events in men from a general population, but not in women.高主动脉增强指数可预测一般人群中男性的死亡率和心血管事件,但不能预测女性。
Eur J Prev Cardiol. 2013 Dec;20(6):1005-12. doi: 10.1177/2047487312449588. Epub 2012 May 30.
9
Pulse wave velocity, pulse pressure and number of carotid or femoral plaques improve prediction of cardiovascular death in a population at low risk.脉搏波速度、脉压和颈动脉或股动脉斑块数量可改善低危人群心血管死亡的预测。
J Hum Hypertens. 2013 Sep;27(9):529-34. doi: 10.1038/jhh.2013.8. Epub 2013 Feb 21.
10
Cardiovascular risk prediction: Can Systematic Coronary Risk Evaluation (SCORE) be improved by adding simple risk markers? Results from the Copenhagen City Heart Study.心血管风险预测:通过添加简单风险标志物能否改善系统性冠状动脉风险评估(SCORE)?哥本哈根城市心脏研究的结果。
Eur J Prev Cardiol. 2016 Sep;23(14):1546-56. doi: 10.1177/2047487316638201. Epub 2016 Mar 14.

引用本文的文献

1
Under-recognized cardiovascular risk enhancers in women: A call to rethink clinical assessment on risk stratification.女性中未被充分认识的心血管风险增强因素:呼吁重新思考风险分层的临床评估。
Am J Prev Cardiol. 2025 Feb 11;21:100942. doi: 10.1016/j.ajpc.2025.100942. eCollection 2025 Mar.
2
Associations of Inflammation with Risk of Cardiovascular and All-Cause Mortality in Adults with Hypertension: An Inflammatory Prognostic Scoring System.高血压成人炎症与心血管及全因死亡风险的关联:一种炎症预后评分系统
J Inflamm Res. 2022 Nov 8;15:6125-6136. doi: 10.2147/JIR.S384977. eCollection 2022.
3
The Association between Trimethylamine N-Oxide and Its Predecessors Choline, L-Carnitine, and Betaine with Coronary Artery Disease and Artery Stenosis.
氧化三甲胺及其前体胆碱、左旋肉碱和甜菜碱与冠状动脉疾病和动脉狭窄之间的关联。
Cardiol Res Pract. 2020 Aug 13;2020:5854919. doi: 10.1155/2020/5854919. eCollection 2020.
4
Gender difference in the association between brachial-ankle pulse wave velocity and cardiovascular risk scores.肱踝脉搏波速度与心血管风险评分的性别差异。
Korean J Intern Med. 2019 May;34(3):539-548. doi: 10.3904/kjim.2017.357. Epub 2018 Mar 16.
5
Cohort Profile: The Nijmegen Biomedical Study (NBS).队列简介:奈梅亨生物医学研究(NBS)。
Int J Epidemiol. 2017 Aug 1;46(4):1099-1100j. doi: 10.1093/ije/dyw268.
6
Risk Stratification of Patients with Peripheral Arterial Disease and Abdominal Aortic Aneurysm Using Aortic Augmentation Index.使用主动脉增强指数对周围动脉疾病和腹主动脉瘤患者进行风险分层
PLoS One. 2015 Oct 9;10(10):e0139887. doi: 10.1371/journal.pone.0139887. eCollection 2015.
7
High efficient and cost-effective screening method for diabetic cardiovascular risk.高效且具有成本效益的糖尿病心血管风险筛查方法。
Diabetol Metab Syndr. 2014 Apr 8;6(1):51. doi: 10.1186/1758-5996-6-51.
8
Common carotid intima-media thickness measurements do not improve cardiovascular risk prediction in individuals with elevated blood pressure: the USE-IMT collaboration.常见颈动脉内膜中层厚度测量并不能改善血压升高个体的心血管风险预测:USE-IMT 协作研究。
Hypertension. 2014 Jun;63(6):1173-81. doi: 10.1161/HYPERTENSIONAHA.113.02683. Epub 2014 Mar 10.