Original Investigation
Discrimination and Net Reclassification of Cardiovascular Risk With Lipoprotein(a): Prospective 15-Year Outcomes in the Bruneck Study

https://doi.org/10.1016/j.jacc.2014.03.061Get rights and content
Under an Elsevier user license
open archive

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.

Key Words

atherosclerosis
autoantibodies
lipoproteins
oxidation
oxidation-specific epitopes
oxidized phospholipids

Abbreviations and Acronyms

CAD
coronary artery disease
CI
confidence interval
CVD
cardiovascular disease
ERFC
Emerging Risk Factors Collaboration
FRS
Framingham Risk Score
HDL-C
high-density lipoprotein cholesterol
HR
hazard ratio
hs-CRP
high-sensitivity C-reactive protein
IDI
integrated discrimination improvement
KIV
kringle IV
LDL-C
low-density lipoprotein cholesterol
LMW
low-molecular-weight
Lp(a)
lipoprotein(a)
MI
myocardial infarction
NRI
net reclassification improvement
RRS
the Reynolds Risk Score
SNP
single nucleotide polymorphism

Cited by (0)

This study was supported by National Institutes of Health (National Heart, Lung, and Blood Institute) grants R01-HL119828, R01-HL093767, P01-HL088093 and P01-HL055798 (Drs. Tsimikas and Witztum), by the Austrian Nationalbank (Project 9331). and by the Pustertaler Verein zur Prävention von Herz- und Hirngefaesserkrankungen, the Gesundheitsbezirk Bruneck, the mayor of Bruneck, and Assessorat für Gesundheit, Province of Bolzano, Italy. Drs. Tsimikas and Witztum are co-inventors and receive royalties from patents owned by the University of California San Diego on oxidation-specific antibodies and of biomarkers related to oxidized lipoproteins. Dr. Tsimikas is a consultant to ISIS, Genzyme, and Sanofi-Aventis; and has laboratory service agreements with Pfizer Inc. and Regeneron. Dr. Witztum is a consultant to ISIS, Regulus, and Intercept. All other authors have reported that they have no other relationships relevant to the contents of this paper to disclose.

Listen to this manuscript's audio summary by JACC Editor-in-Chief Dr. Valentin Fuster.

You can also listen to this issue's audio summary by JACC Editor-in-Chief Dr. Valentin Fuster.