首页> 外文期刊>JAMA: the Journal of the American Medical Association >Lipid-related markers and cardiovascular disease prediction
【24h】

Lipid-related markers and cardiovascular disease prediction

机译:脂质相关的标记和心血管疾病预测

获取原文
获取原文并翻译 | 示例
           

摘要

Context: The value of assessing various emerging lipid-related markers for prediction of first cardiovascular events is debated. Objective: To determine whether adding information on apolipoprotein B and apolipoprotein A-I, lipoprotein(a), or lipoprotein-associated phospholipase A 2 to total cholesterol and high-density lipoprotein cholesterol (HDL-C) improves cardiovascular disease (CVD) risk prediction. Design, Setting, and Participants: Individual records were available for 165 544 participants without baseline CVD in 37 prospective cohorts (calendar years of recruitment: 1968-2007) with up to 15 126 incident fatal or nonfatal CVD outcomes (10 132 CHD and 4994 stroke outcomes) during a median follow-up of 10.4 years (interquartile range, 7.6-14 years). Main Outcome Measures: Discrimination of CVD outcomes and reclassification of participants across predicted 10-year risk categories of low (?λτ?10%), intermediate (10%- ?λτ?20%), and high (≥20%) risk. Results: The addition of information on various lipid-related markers to total cholesterol, HDL-C, and other conventional risk factors yielded improvement in the model's discrimination: C-index change, 0.0006 (95% CI, 0.0002-0.0009) for the combination of apolipoprotein B and A-I; 0.0016 (95% CI, 0.0009-0.0023) for lipoprotein(a); and 0.0018 (95% CI, 0.0010-0.0026) for lipoprotein-associated phospholipase A 2 mass. Net reclassification improvements were less than 1% with the addition of each of these markers to risk scores containing conventional risk factors. We estimated that for 100 000 adults aged 40 years or older, 15 436 would be initially classified at intermediate risk using conventional risk factors alone. Additional testing with a combination of apolipoprotein B and A-I would reclassify 1.1%; lipoprotein(a), 4.1%; and lipoprotein-associated phospholipase A 2 mass, 2.7% of people to a 20% or higher predicted CVD risk category and, therefore, in need of statin treatment under Adult Treatment Panel III guidelines.Conclusion: In a study of individuals without known CVD, the addition of information on the combination of apolipoprotein B and A-I, lipoprotein(a), or lipoprotein-associated phospholipase A 2 mass to risk scores containing total cholesterol and HDL-C led to slight improvement in CVD prediction.
机译:背景:评估各种新出现的脂质相关标记的值,用于预测第一心血管事件的预测。目的:确定是否在载脂蛋白B和载脂蛋白A-1中添加信息,脂蛋白(A)或脂蛋白相关的磷脂酶A 2至总胆固醇和高密度脂蛋白胆固醇(HDL-C)改善了心血管疾病(CVD)风险预测。设计,设定和参与者:在37个未来的队列(招聘日历多年的日历多年)中有165个544名参与者的个人记录,最高可达15名126次入射致命或非致命的CVD结果(10 132 CHD和4994中风)结果)在10.4年(第7.6-14岁的间隔范围内的中位随访期间。主要观察措施:歧视CVD成果和参与者的预测,跨预测的10年风险类别的低(?λτ?10%),中间(10% - λτ?20%),高(≥20%)风险。结果:将各种脂质相关标志物的信息添加到总胆固醇,HDL-C和其他常规风险因素的情况下,该模型的歧视:C折射率变化,0.0006(95%CI,0.0002-0.0009)的组合进行了改善载脂蛋白b和ai; 0.0016(95%CI,0.0009-0.0023)用于脂蛋白(A);脂蛋白相关的磷脂酶A 2质量,0.0018(95%CI,0.0010-0.0026)。随着这些标记的增加,净重新分类的改善小于1%,以含有常规风险因素的风险评分。我们估计,对于40岁或以上的10 000名成年人,1536年将在中间风险中初始分类,使用常规风险因素。具有载脂蛋白B和A-I的组合的额外测试将重新分类1.1%;脂蛋白(A),4.1%;脂蛋白相关的磷脂酶2质量,2.7%的人预测的CVD风险类别为20%或更高,因此需要在成人治疗组III指南下需要他汀类药物治疗。结论:在没有已知CVD的个体的研究中,添加有关载脂蛋白B和AI,脂蛋白(A)或脂蛋白相关的磷脂酶的组合的信息,含有总胆固醇和HDL-C的风险评分导致CVD预测的略微改善。

著录项

  • 来源
  • 作者单位

    Department of Public Health and Primary Care University of Cambridge Cambridge United Kingdom;

    Department of Public Health and Primary Care University of Cambridge Cambridge United Kingdom;

    Department of Public Health and Primary Care University of Cambridge Cambridge United Kingdom;

    Department of Public Health and Primary Care University of Cambridge Cambridge United Kingdom;

    Institute of Cardiovascular and Medical Sciences University of Glasgow Glasgow United Kingdom;

    Department of Public Health and Primary Care University of Cambridge United Kingdom;

    Department of Public Health and Primary Care University of Cambridge United Kingdom;

    Department of Public Health and Primary Care University of Cambridge United Kingdom;

    Department of Public Health and Primary Care University of Cambridge United Kingdom;

    Department of Public Health and Primary Care University of Cambridge United Kingdom;

    Department of Medicine Baylor College of Medicine Houston TX United States;

    Departments of Medicine Epidemiology and Health Services University of Washington Seattle WA;

    Uppsala Clinical Research Center Uppsala University Uppsala Sweden;

    Division of Preventive Medicine Brigham and Women's Hospital Boston MA United States;

    Klinikum der Universit?t München LMU München Germany;

    Center for Disease Control and Prevention Washington DC United States;

    Robertson Centre for Biostatistics University of Glasgow United Kingdom;

    INSERM France;

    Department of Neurology Medical University Innsbruck Innsbruck Austria;

    Department of Internal Medicine II-Cardiology University of Ulm Medical Center Ulm Germany;

    University Hospital Groningen University Medical Center Groningen Groningen Netherlands;

    Assmann-Stiftung fur Pravention Germany;

    Department of Mathematics and Statistics Boston University Boston United States;

    Départment de Medicine Institut Universitaire de Cardiologie et Pneumologie de Québec Québec QC;

    Centre for Cardiovascular Genetics University College London United Kingdom;

    Division of Human Nutrition Wageningen University Wageningen Netherlands;

    Institute for Experimental Medical Research Istanbul University Istanbul Turkey;

    Merck Research Laboratories Philadelphia PA United States;

    Unidad de Investigation Hospital 12 de Octubre Madrid Spain;

    Department of Medicine Sahlgrenska Academy University of Gothenburg G?teborg Sweden;

    Medical University of South Carolina United States;

    Department of Epidemiology Cardiff University Cardiff United Kingdom;

    Wolfson Unit Public Health Sciences University of Edinburgh Edinburgh United Kingdom;

    Department of Clinical and Experimental Medicine University of Padova Padova Italy;

    Department of Epidemiology Erasmus Medical Center Rotterdam Netherlands;

    Department of Epidemiology National Institute for Health and Welfare Helsinki Finland;

    Department of Family and Preventive Medicine Division of Epidemiology University of California;

    Clinical Trials Service Unit University of Oxford Oxford United Kingdom;

    Department of Epidemiology and Public Health University College London United Kingdom;

    Department of Cardiology Leiden University Medical Center Leiden Netherlands;

    Lipid Research Department University of New South Wales Darlinghurst NSW Australia;

    Department of Public Health and Primary Care United Kingdom;

    MRC Epidemiology Unit University of Cambridge United Kingdom;

    Department of Public Health and Primary Care University of Cambridge United Kingdom;

    University of Eastern Finland Kuopio Finland;

    Metabolic Analytical Services Inc. University of Helsinki Helsinki Finland;

    MedStar Health Research Institute Washington Hospital Center Washington DC United States;

    Department of Clinical Biochemistry University of Copenhagen Copenhagen Denmark;

    Department of Public Health and Primary Care University of Cambridge United Kingdom;

    Department of Public Health and Primary Care University of Cambridge United Kingdom;

    Academic Medical Center Amsterdam Netherlands;

    Institute of Cardiovascular and Medical Sciences University of Glasgow United Kingdom;

    Institute of Cardiovascular and Medical Sciences University of Glasgow United Kingdom;

    Icelandic Heart Association University of Iceland Reykjavik Iceland;

    Department of Public Health and Primary Care Universityof Cambridge WortsCauseway Cambridge CB1;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 医药、卫生;
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号