Literature DB >> 25169167

Discrimination and net reclassification of cardiovascular risk with lipoprotein(a): prospective 15-year outcomes in the Bruneck Study.

Peter Willeit1, Stefan Kiechl2, Florian Kronenberg3, Joseph L Witztum4, Peter Santer5, Manuel Mayr6, Qingbo Xu6, Agnes Mayr5, Johann Willeit7, Sotirios Tsimikas8.   

Abstract

BACKGROUND: Recent studies showed that lipoprotein(a) [Lp(a)] is a causal risk factor for cardiovascular disease (CVD). However, whether Lp(a) modifies clinical risk assessment was not established.
OBJECTIVES: This study was conducted to determine whether Lp(a) improves CVD risk prediction.
METHODS: In 1995, Lp(a) was measured in 826 men and women (age range, 45 to 84 years) from the general community. Incidence of CVD was recorded over 15 years of follow-up.
RESULTS: In models adjusted for Framingham Risk Score (FRS) and Reynolds Risk Score (RRS) variables, the hazard ratio (HR) for incident CVD was 1.37 per 1-SD higher Lp(a) level (SD = 32 mg/dl) and 2.37 when comparing the top fifth quintile with other quintiles. The addition of Lp(a) to the RRS increased the C-index by 0.016. Of the 502 subjects who remained free of CVD, 82 were correctly reclassified to a lower risk category and 49 were reclassified to a higher risk category (predicted 15-year categories: <7.5%, 7.5% to <15%, 15% to <30%, ≥30%) (p < 0.001). Of the 148 subjects who developed CVD, 18 were correctly reclassified to a higher risk category and 17 were reclassified to a lower risk category. In subjects at intermediate risk (15% to <30%), the net reclassification improvement afforded by Lp(a) was 22.5% for noncases, 17.1% for cases, and 39.6% overall. Allele-specific Lp(a) levels did not add to the predictive ability of the FRS or RRS or to Lp(a).
CONCLUSIONS: Elevated Lp(a) predicts 15-year CVD outcomes and improves CVD risk prediction. These findings suggest that Lp(a) levels may be used in risk assessment of subjects in the general community, particularly in intermediate-risk groups.
Copyright © 2014 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  atherosclerosis; autoantibodies; lipoproteins; oxidation; oxidation-specific epitopes; oxidized phospholipids

Mesh:

Substances:

Year:  2014        PMID: 25169167     DOI: 10.1016/j.jacc.2014.03.061

Source DB:  PubMed          Journal:  J Am Coll Cardiol        ISSN: 0735-1097            Impact factor:   24.094


  70 in total

1.  Elevated Lipoprotein(a) Levels Lower ABCA1 Cholesterol Efflux Capacity.

Authors:  Hagai Tavori; Alexandra M Fenton; Deanna L Plubell; Sara Rosario; Elisabeth Yerkes; Rayna Gasik; Joshua Miles; Paige Bergstrom; Jessica Minnier; Sergio Fazio; Nathalie Pamir
Journal:  J Clin Endocrinol Metab       Date:  2019-10-01       Impact factor: 5.958

2.  HDL-C, ABCA1-mediated cholesterol efflux, and lipoprotein(a): insights into a potential novel physiologic role of lipoprotein(a).

Authors:  Calvin Yeang; Sotirios Tsimikas
Journal:  J Lipid Res       Date:  2015-05-26       Impact factor: 5.922

3.  A genome-wide association study on lipoprotein (a) levels and coronary artery disease severity in a Chinese population.

Authors:  Yibin Liu; Hongkun Ma; Qian Zhu; Bin Zhang; Hong Yan; Hanping Li; Jinxiu Meng; Weihua Lai; Liwen Li; Danqing Yu; Shilong Zhong
Journal:  J Lipid Res       Date:  2019-06-11       Impact factor: 5.922

4.  Race is a key variable in assigning lipoprotein(a) cutoff values for coronary heart disease risk assessment: the Multi-Ethnic Study of Atherosclerosis.

Authors:  Weihua Guan; Jing Cao; Brian T Steffen; Wendy S Post; James H Stein; Mathew C Tattersall; Joel D Kaufman; Joseph P McConnell; Daniel M Hoefner; Russell Warnick; Michael Y Tsai
Journal:  Arterioscler Thromb Vasc Biol       Date:  2015-02-19       Impact factor: 8.311

Review 5.  Genetics of Dyslipidemia and Ischemic Heart Disease.

Authors:  Kavita Sharma; Ragavendra R Baliga
Journal:  Curr Cardiol Rep       Date:  2017-05       Impact factor: 2.931

6.  Lipoprotein(a) screening in young and middle-aged patients presenting with acute coronary syndrome.

Authors:  Ayman Jubran; Anna Zetser; Barak Zafrir
Journal:  Cardiol J       Date:  2018-09-20       Impact factor: 2.737

7.  [Correlation of lipoprotein(a) with clinical stability and severity of coronary artery lesions in patients with coronary artery disease].

Authors:  Yusheng Ma; Jiahuan Rao; Jieni Long; Lilong Lin; Jichen Liu; Zhigang Guo
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2019-02-28

8.  Cardiovascular Disease Risk Assessment: Review of Established and Newer Modalities.

Authors:  David M Tehrani; Nathan D Wong
Journal:  Curr Treat Options Cardiovasc Med       Date:  2015-12

Review 9.  Lipid Biomarkers for Risk Assessment in Acute Coronary Syndromes.

Authors:  Jeffrey W Meeusen; Leslie J Donato; Allan S Jaffe
Journal:  Curr Cardiol Rep       Date:  2017-06       Impact factor: 2.931

Review 10.  Optimizing Dyslipidemia Management for the Prevention of Cardiovascular Disease: a Focus on Risk Assessment and Therapeutic Options.

Authors:  Adam N Berman; Ron Blankstein
Journal:  Curr Cardiol Rep       Date:  2019-08-05       Impact factor: 2.931

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.