Association of coronary artery calcification with estimated coronary heart disease risk from prediction models in a community-based sample of Japanese men: The shiga epidemiological study of subclinical atherosclerosis (SESSA)

Shiga Epidemiological Study of Subclinical Atherosclerosis (SESSA) Research Group

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1 Citation (Scopus)

Abstract

Aim: The clinical significance of coronary artery calcification (CAC) is not fully determined in general East Asian populations where background coronary heart disease (CHD) is less common than in USA/Western countries. We cross-sectionally assessed the association between CAC and estimated CHD risk as well as each major risk factor in general Japanese men. Methods: Participants were 996 randomly selected Japanese men aged 40-79 y, free of stroke, myocardial infarction, or revascularization. We examined an independent relationship between each risk factor used in prediction models and CAC score ≥100 by logistic regression. We then divided the participants into quintiles of estimated CHD risk per prediction model to calculate odds ratio of having CAC score ≥100. Receiver operating characteristic curve and c-index were used to examine discriminative ability of prevalent CAC for each prediction model. Results: Age, smoking status, and systolic blood pressure were significantly associated with CAC score ≥100 in the multivariable analysis. The odds of having CAC score ≥100 were higher for those in higher quintiles in all prediction models (p-values for trend across quintiles <0.0001 for all models). All prediction models showed fair and similar discriminative abilities to detect CAC score ≥100, with similar c-statistics (around 0.70). Conclusions: In a community-based sample of Japanese men free of CHD and stroke, CAC score ≥100 was significantly associated with higher estimated CHD risk by prediction models. This finding supports the potential utility of CAC as a biomarker for CHD in a general Japanese male population.

Original languageEnglish
Pages (from-to)477-489
Number of pages13
JournalJournal of atherosclerosis and thrombosis
Volume25
Issue number6
DOIs
Publication statusPublished - 2018

Keywords

  • Absolute risk prediction model
  • Community-based sample
  • Coronary artery calcification

ASJC Scopus subject areas

  • Internal Medicine
  • Cardiology and Cardiovascular Medicine
  • Biochemistry, medical

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