Literature DB >> 32381650

Association of lipoprotein(a) levels with recurrent events in patients with coronary artery disease.

Hui-Hui Liu1, Ye-Xuan Cao1, Jing-Lu Jin1, Hui-Wen Zhang1, Qi Hua2, Yan-Fang Li3, Yuan-Lin Guo1, Cheng-Gang Zhu1, Na-Qiong Wu1, Ying Gao1, Rui-Xia Xu1, Li-Feng Hong4, Jian-Jun Li5.   

Abstract

OBJECTIVE: Whether lipoprotein(a) (Lp(a)) is a predictor for recurrent cardiovascular events (RCVEs) in patients with coronary artery disease (CAD) has not been established. This study, hence, aimed to examine the potential impact of Lp(a) on RCVEs in a real-world, large cohort of patients with the first cardiovascular event (CVE).
METHODS: In this multicentre, prospective study, 7562 patients with angiography-diagnosed CAD who had experienced a first CVE were consecutively enrolled. Lp(a) concentrations of all subjects were measured at admission and the participants were categorised according to Lp(a) tertiles. All patients were followed-up for the occurrence of RCVEs including cardiovascular death, non-fatal myocardial infarction and stroke.
RESULTS: During a mean follow-up of 61.45±19.57 months, 680 (9.0%) RCVEs occurred. The results showed that events group had significantly higher Lp(a) levels than non-events group (20.58 vs 14.95 mg/dL, p<0.001). Kaplan-Meier analysis indicated that Lp(a) tertile 2 (p=0.001) and tertile 3 (p<0.001) groups had significantly lower cumulative event-free survival rates compared with tertile 1 group. Moreover, multivariate Cox regression analysis further revealed that Lp(a) was independently associated with RCVEs risk (HR: 2.01, 95% CI: 1.44 to 2.80, p<0.001). Moreover, adding Lp(a) to the SMART risk score model led to a slight but significant improvement in C-statistic (∆C-statistic: 0.018 (95% CI: 0.011 to 0.034), p=0.002), net reclassification (6.8%, 95% CI: 0.5% to 10.9%, p=0.040) and integrated discrimination (0.3%, 95% CI: 0.1% to 0.7%, p<0.001).
CONCLUSIONS: Circulating Lp(a) concentration was indeed a useful predictor for the risk of RCVEs in real-world treated patients with CAD, providing additional information concerning the future clinical application of Lp(a). © Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  Lipoproteins and hyperlipidaemia; cardiac risk factors and prevention; coronary artery disease

Mesh:

Substances:

Year:  2020        PMID: 32381650     DOI: 10.1136/heartjnl-2020-316586

Source DB:  PubMed          Journal:  Heart        ISSN: 1355-6037            Impact factor:   5.994


  7 in total

1.  Lipoprotein(a) levels in a global population with established atherosclerotic cardiovascular disease.

Authors:  Steven E Nissen; Kathy Wolski; Leslie Cho; Stephen J Nicholls; John Kastelein; Eran Leitersdorf; Ulf Landmesser; Michael Blaha; A Michael Lincoff; Ryuichi Morishita; Sotirios Tsimikas; Junhao Liu; Brian Manning; Plamen Kozlovski; Anastasia Lesogor; Tom Thuren; Taro Shibasaki; Florin Matei; Fábio Serra Silveira; Andreas Meunch; Aysha Bada; Vinod Vijan; Niels Eske Bruun; Borge G Nordestgaard
Journal:  Open Heart       Date:  2022-10

2.  Synergistic effect of the commonest residual risk factors, remnant cholesterol, lipoprotein(a), and inflammation, on prognosis of statin-treated patients with chronic coronary syndrome.

Authors:  Hui-Hui Liu; Yuan-Lin Guo; Cheng-Gang Zhu; Na-Qiong Wu; Ying Gao; Rui-Xia Xu; Qian Dong; Jie Qian; Ke-Fei Dou; Jian-Jun Li
Journal:  J Transl Med       Date:  2022-05-26       Impact factor: 8.440

3.  Elevated lipoprotein(a) levels as an independent predictor of long-term recurrent events in patients with acute coronary syndrome: an observational, retrospective cohort study.

Authors:  Si-Qi Yang; Han-Xiong Liu; Xiu-Qiong Yu; Lin Tong; Xu Chen; Ling-Yao Qi; Cai-Yan Cui; Lian-Chao Cheng; Lin Cai
Journal:  Coron Artery Dis       Date:  2022-02-15       Impact factor: 1.717

Review 4.  Risk Prediction of Cardiovascular Events by Exploration of Molecular Data with Explainable Artificial Intelligence.

Authors:  Annie M Westerlund; Johann S Hawe; Matthias Heinig; Heribert Schunkert
Journal:  Int J Mol Sci       Date:  2021-09-24       Impact factor: 5.923

5.  Improvement of evaluation in Chinese patients with atherosclerotic cardiovascular disease using the very-high-risk refinement: a population-based study.

Authors:  Sha Li; Hui-Hui Liu; Yuan-Lin Guo; Cheng-Gang Zhu; Na-Qiong Wu; Rui-Xia Xu; Qian Dong; Jian-Jun Li
Journal:  Lancet Reg Health West Pac       Date:  2021-10-21

6.  Atherosclerotic Cardiovascular Disease Risk and Lipid-Lowering Therapy Requirement in China.

Authors:  Lei Bi; Jiayi Yi; Chaoqun Wu; Shuang Hu; Xingyi Zhang; Jiapeng Lu; Jiamin Liu; Haibo Zhang; Yang Yang; Jianlan Cui; Wei Xu; Lijuan Song; Yuanlin Guo; Xi Li; Xin Zheng
Journal:  Front Cardiovasc Med       Date:  2022-03-28

Review 7.  Treatment and prevention of lipoprotein(a)-mediated cardiovascular disease: the emerging potential of RNA interference therapeutics.

Authors:  Daniel I Swerdlow; David A Rider; Arash Yavari; Marie Wikström Lindholm; Giles V Campion; Steven E Nissen
Journal:  Cardiovasc Res       Date:  2022-03-25       Impact factor: 10.787

  7 in total

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