Literature DB >> 11073845

Apolipoprotein concentrations during treatment and recurrent coronary artery disease events.

J E van Lennep1, H T Westerveld, H W van Lennep, A H Zwinderman, D W Erkelens, E E van der Wall.   

Abstract

The effect of untreated total cholesterol (TC) and low density lipoprotein cholesterol (LDL-C) as cardiovascular risk factors in both primary and secondary prevention has been extensively investigated. The predictive value of on-treatment lipid and apolipoprotein levels on subsequent cardiovascular events is as yet uncertain. Eight hundred forty-eight patients (675 men and 173 women) with angiographically proven coronary artery disease (CAD) who received effective statin therapy (>/=30% decrease of baseline TC) were studied. We analyzed the predictive value of on-treatment levels of TC, LDL-C, triglycerides (TG), apolipoprotein A-I (apoA-I) and apolipoprotein B (apoB) on subsequent myocardial infarction (MI) and all cause mortality. On-treatment LDL-C levels were 2.55+/-0.55 mmol/L and 2.58+/-0.62 mmol/L for men and women respectively. Age-adjusted Cox regression analysis showed that only on-treatment apoA-I was predictive for future CAD events in both men and women, whereas on-treatment HDL-C was exclusively predictive in women. On-treatment apoB levels were predictive for recurrent CAD events in the total population but not after separate analysis for men and women. On-treatment levels of TC, LDL-C, and TG did not predict subsequent events. Multivariate analysis showed that on-treatment apoA-I and apoB were the only significant predictors for future cardiovascular events. On-treatment levels of TC, LDL-C, and TG were no longer associated with increased risk of recurrent cardiovascular events in CAD patients treated to target levels, which justifies the current guidelines. However, on-treatment levels of apoB and in particular apoA-I (and HDL-C in women) were significantly predictive for MI and all-cause mortality and may therefore be more suitable for cardiovascular risk assessment in this population.

Entities:  

Mesh:

Substances:

Year:  2000        PMID: 11073845     DOI: 10.1161/01.atv.20.11.2408

Source DB:  PubMed          Journal:  Arterioscler Thromb Vasc Biol        ISSN: 1079-5642            Impact factor:   8.311


  42 in total

1.  Using apolipoprotein B to manage dyslipidemic patients: time for a change?

Authors:  Charles R Harper; Terry A Jacobson
Journal:  Mayo Clin Proc       Date:  2010-05       Impact factor: 7.616

2.  Atherosclerotic plaque imaging by PET/CT; can inactive, active and mixed plaques be discerned?

Authors:  E E van der Wall; J D Schuijf; J W Jukema; J J Bax; A van der Laarse
Journal:  Int J Cardiovasc Imaging       Date:  2008-12-05       Impact factor: 2.357

3.  Tetralogy of Fallot: in good shape?

Authors:  Barbara J M Mulder; Ernst E van der Wall
Journal:  Int J Cardiovasc Imaging       Date:  2008-12-16       Impact factor: 2.357

4.  Rabbit models: ideal for imaging purposes?

Authors:  A van der Laarse; E E van der Wall
Journal:  Int J Cardiovasc Imaging       Date:  2008-12-16       Impact factor: 2.357

5.  Aortic and coronary atherosclerosis: a natural association?

Authors:  Ernst E van der Wall; Arnoud van der Laarse
Journal:  Int J Cardiovasc Imaging       Date:  2008-11-27       Impact factor: 2.357

6.  Monitoring plaque composition: is it worthwile?

Authors:  Arnoud van der Laarse; Ernst E van der Wall
Journal:  Int J Cardiovasc Imaging       Date:  2008-11-27       Impact factor: 2.357

7.  Dual source computed tomography: automated, visual or dual analysis?

Authors:  E E van der Wall; J H C Reiber
Journal:  Int J Cardiovasc Imaging       Date:  2008-11-27       Impact factor: 2.357

8.  Non-significant left main disease; truly non-significant?

Authors:  E E van der Wall; J D Schuijf; J W Jukema; J J Bax; M J Schalij
Journal:  Int J Cardiovasc Imaging       Date:  2009-02-17       Impact factor: 2.357

9.  Coronary artery calcium screening: sufficient evidence for accurate risk assessment?

Authors:  Ernst E van der Wall; Joanne D Schuijf; J Wouter Jukema; Jeroen J Bax
Journal:  Int J Cardiovasc Imaging       Date:  2008-08-12       Impact factor: 2.357

10.  Signal intensity enhances diagnostic capacity in myocardial infarction.

Authors:  A van der Laarse; E E van der Wall
Journal:  Int J Cardiovasc Imaging       Date:  2009-03-17       Impact factor: 2.357

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.