Skip to main navigation Skip to search Skip to main content

Impact of lipoprotein(a) level on low-density lipoprotein cholesterol– or apolipoprotein B–related risk of coronary heart disease

  • Natalie Arnold
  • , Christopher Blaum
  • , Alina Goßling
  • , Fabian J. Brunner
  • , Benjamin Bay
  • , Tanja Zeller
  • , Marco M. Ferrario
  • , Paolo Brambilla
  • , Giancarlo Cesana
  • , Valerio Leoni
  • , Luigi Palmieri
  • , Chiara Donfrancesco
  • , Francisco Ojeda
  • , Allan Linneberg
  • , Stefan Söderberg
  • , Licia Iacoviello
  • , Francesco Gianfagna
  • , Simona Costanzo
  • , Susana Sans
  • , Giovanni Veronesi
  • Barbara Thorand, Annette Peters, Hugh Tunstall-Pedoe, Frank Kee, Veikko Salomaa, Renate B. Schnabel, Kari Kuulasmaa, Stefan Blankenberg, Christoph Waldeyer, Wolfgang Koenig*
*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Background
Conventional low-density lipoprotein cholesterol (LDL-C) quantification includes cholesterol attributable to lipoprotein(a) (Lp(a)-C) due to their overlapping densities.

Objectives
The purposes of this study were to compare the association between LDL-C and LDL-C corrected for Lp(a)-C (LDLLp(a)corr) with incident coronary heart disease (CHD) in the general population and to investigate whether concomitant Lp(a) values influence the association of LDL-C or apolipoprotein B (apoB) with coronary events.

Methods
Among 68,748 CHD-free subjects at baseline LDLLp(a)corr was calculated as “LDL-C—Lp(a)-C,” where Lp(a)-C was 30% or 17.3% of total Lp(a) mass. Fine and Gray competing risk-adjusted models were applied for the association between the outcome incident CHD and: 1) LDL-C and LDLLp(a)corr in the total sample; and 2) LDL-C and apoB after stratification by Lp(a) mass (≥/<90th percentile).

Results
Similar risk estimates for incident CHD were found for LDL-C and LDL-CLp(a)corr30 or LDL-CLp(a)corr17.3 (subdistribution HR with 95% CI) were 2.73 (95% CI: 2.34-3.20) vs 2.51 (95% CI: 2.15-2.93) vs 2.64 (95% CI: 2.26-3.10), respectively (top vs bottom fifth; fully adjusted models). Categorization by Lp(a) mass resulted in higher subdistribution HRs for uncorrected LDL-C and incident CHD at Lp(a) ≥90th percentile (4.38 [95% CI: 2.08-9.22]) vs 2.60 [95% CI: 2.21-3.07]) at Lp(a) <90th percentile (top vs bottom fifth; Pinteraction0.39). In contrast, apoB risk estimates were lower in subjects with higher Lp(a) mass (2.43 [95% CI: 1.34-4.40]) than in Lp(a) <90th percentile (3.34 [95% CI: 2.78-4.01]) (Pinteraction0.49).

Conclusions
Correction of LDL-C for its Lp(a)-C content provided no meaningful information on CHD-risk estimation at the population level. Simple categorization of Lp(a) mass (≥/<90th percentile) influenced the association between LDL-C or apoB with future CHD mostly at higher Lp(a) levels.


Original languageEnglish
Pages (from-to)165-177
Number of pages13
JournalJournal of the American College of Cardiology
Volume84
Issue number2
Early online date01 Jul 2024
DOIs
Publication statusPublished - 09 Jul 2024

Keywords

  • Adult
  • Aged
  • Apolipoproteins B - blood
  • Cholesterol, LDL - blood
  • Coronary Disease - blood - epidemiology
  • Female
  • Humans
  • Incidence
  • Lipoprotein(a) - blood
  • Male
  • Middle Aged
  • Risk Assessment - methods
  • Risk Factors
  • apolipoprotein B
  • coronary heart disease
  • general population
  • lipoprotein(a)
  • low-density lipoprotein

Fingerprint

Dive into the research topics of 'Impact of lipoprotein(a) level on low-density lipoprotein cholesterol– or apolipoprotein B–related risk of coronary heart disease'. Together they form a unique fingerprint.

Cite this