Literature DB >> 31076417

Lipoprotein(a) and Cardiovascular Outcomes in Patients With Coronary Artery Disease and Prediabetes or Diabetes.

Jing-Lu Jin1, Ye-Xuan Cao1, Hui-Wen Zhang1, Di Sun1, Qi Hua2, Yan-Fang Li3, Yuan-Lin Guo1, Na-Qiong Wu1, Cheng-Gang Zhu1, Ying Gao1, Qiu-Ting Dong1, Hui-Hui Liu1, Qian Dong1, Jian-Jun Li4.   

Abstract

OBJECTIVE: The aim of the current study is to determine the impact of elevated lipoprotein(a) [Lp(a)] on cardiovascular events (CVEs) in stable coronary artery disease (CAD) patients with different glucose metabolism status. RESEARCH DESIGN AND METHODS: In this multicenter study, we consecutively enrolled 5,143 patients from March 2011 to February 2015. Patients were categorized according to status of glucose metabolism (diabetes mellitus [DM], pre-diabetes mellitus [pre-DM], and normal glucose regulation [NGR]) levels and further classified into 12 groups by Lp(a) levels. CVE end points included nonfatal acute myocardial infarction (MI), stroke, and cardiovascular mortality. All subjects were followed up for the occurrence of the CVEs.
RESULTS: During a median of 6.1 years' follow-up, 435 (8.5%) CVEs occurred. No significant difference in occurrence of CVEs was observed between NGR and pre-DM groups (hazard ratio 1.131 [95% CI 0.822-1.556], P > 0.05). When status of glucose metabolism was incorporated in stratifying factors, 30 ≤ Lp(a) < 50 mg/dL and Lp(a) ≥50 mg/dL were associated with significantly higher risk of subsequent CVEs in pre-DM (2.181 [1.099-4.327] and 2.668 [1.383-5.415], respectively; all P < 0.05) and DM (3.088 [1.535-5.895] and 3.470 [1.801-6.686], all P < 0.05). Moreover, adding Lp(a) to the Cox model increased the C-statistic by 0.022 and 0.029 in pre-DM and DM, respectively, while the C-statistic was not statistically improved when Lp(a) was included for CVEs prediction in NGR.
CONCLUSIONS: Our findings, for the first time, indicated that elevated Lp(a) levels might affect the prognosis in patients with pre-DM with stable CAD, suggesting that Lp(a) may help further stratify stable CAD patients with mild impaired glucose metabolism.
© 2019 by the American Diabetes Association.

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Year:  2019        PMID: 31076417     DOI: 10.2337/dc19-0274

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  27 in total

1.  Prognostic utility of triglyceride-rich lipoprotein-related markers in patients with coronary artery disease.

Authors:  Ye-Xuan Cao; Hui-Wen Zhang; Jing-Lu Jin; Hui-Hui Liu; Yan Zhang; Rui-Xia Xu; Ying Gao; Yuan-Lin Guo; Cheng-Gang Zhu; Qi Hua; Yan-Fang Li; Raul D Santos; Na-Qiong Wu; Jian-Jun Li
Journal:  J Lipid Res       Date:  2020-07-08       Impact factor: 5.922

2.  Association between new markers of cardiovascular risk and hepatic insulin resistance in those at high risk of developing type 2 diabetes.

Authors:  Lucilla D Monti; Camillo Bechi Genzano; Barbara Fontana; Elena Galluccio; Serena Spadoni; Andrea Magistro; Emanuele Bosi; Piermarco Piatti
Journal:  Endocrine       Date:  2021-09-21       Impact factor: 3.633

3.  Association of C-peptide and lipoprotein(a) as two predictors with cardiometabolic biomarkers in patients with type 2 diabetes in KERCADR population-based study.

Authors:  Mohammad Reza Mahmoodi; Hamid Najafipour
Journal:  PLoS One       Date:  2022-05-24       Impact factor: 3.752

Review 4.  Lipoprotein (a): An Update on a Marker of Residual Risk and Associated Clinical Manifestations.

Authors:  Nishant P Shah; Neha J Pajidipati; Robert W McGarrah; Ann Marie Navar; Sreekanth Vemulapalli; Michael A Blazing; Svati H Shah; Adrian F Hernandez; Manesh R Patel
Journal:  Am J Cardiol       Date:  2020-04-07       Impact factor: 2.778

5.  Visit-to-visit variability of lipid and cardiovascular events in patients with familial hypercholesterolemia.

Authors:  Ye-Xuan Cao; Liang Li; Hui-Wen Zhang; Jing-Lu Jin; Hui-Hui Liu; Yuan-Lin Guo; Na-Qiong Wu; Cheng-Gang Zhu; Qian Dong; Rui-Xia Xu; Jing Sun; Jian-Jun Li
Journal:  Ann Transl Med       Date:  2021-04

6.  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

7.  Impact of free fatty acids on prognosis in coronary artery disease patients under different glucose metabolism status.

Authors:  Jing-Lu Jin; Ye-Xuan Cao; Hui-Hui Liu; Hui-Wen Zhang; Yuan-Lin Guo; Na-Qiong Wu; Cheng-Gang Zhu; Rui-Xia Xu; Ying Gao; Jing Sun; Qian Dong; Jian-Jun Li
Journal:  Cardiovasc Diabetol       Date:  2019-10-14       Impact factor: 9.951

8.  Predicting Cardiovascular Outcomes by Baseline Lipoprotein(a) Concentrations: A Large Cohort and Long-Term Follow-up Study on Real-World Patients Receiving Percutaneous Coronary Intervention.

Authors:  Hui-Hui Liu; Ye-Xuan Cao; Jing-Lu Jin; Hui-Wen Zhang; Qi Hua; Yan-Fang Li; Yuan-Lin Guo; Cheng-Gang Zhu; Na-Qiong Wu; Rui-Xia Xu; Xie-Hui Chen; Jian-Jun Li
Journal:  J Am Heart Assoc       Date:  2020-01-30       Impact factor: 5.501

9.  Prognostic utility of heart-type fatty acid-binding protein in patients with stable coronary artery disease and impaired glucose metabolism: a cohort study.

Authors:  Hui-Wen Zhang; Jing-Lu Jin; Ye-Xuan Cao; Hui-Hui Liu; Yan Zhang; Yuan-Lin Guo; Na-Qiong Wu; Ying Gao; Rui-Xia Xu; Qi Hua; Yan-Fang Li; Chuan-Jue Cui; Geng Liu; Qian Dong; Jing Sun; Jian-Jun Li
Journal:  Cardiovasc Diabetol       Date:  2020-02-10       Impact factor: 9.951

10.  Prognostic value of fibrinogen in patients with coronary artery disease and prediabetes or diabetes following percutaneous coronary intervention: 5-year findings from a large cohort study.

Authors:  Deshan Yuan; Ping Jiang; Pei Zhu; Sida Jia; Ce Zhang; Yue Liu; Ru Liu; Jingjing Xu; Xiaofang Tang; Xueyan Zhao; Runlin Gao; Yuejin Yang; Bo Xu; Zhan Gao; Jinqing Yuan
Journal:  Cardiovasc Diabetol       Date:  2021-07-16       Impact factor: 9.951

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