Traditional cardiovascular disease risk factors associated with one-year all-cause mortality among those with coronary artery calcium scores ≥400

Atherosclerosis. 2015 Aug;241(2):495-7. doi: 10.1016/j.atherosclerosis.2015.06.002. Epub 2015 Jun 5.

Abstract

Introduction: Coronary artery calcium (CAC) reflects coronary plaque burden and independently predicts all-cause mortality. There is marked heterogeneity in the prognosis of individuals with a high burden of subclinical atherosclerosis, yet little research has focused on the proximate determinants of poor outcomes in this subgroup.

Methods: Among 4234 persons with baseline CAC ≥400, multivariable Cox proportional hazards models were used to study the association of traditional cardiovascular risk factors with 1-year all-cause mortality.

Results: The mean age was 64 ± 10 years, with 56% male and a median CAC score of 809 (IQR 761). In multivariable models, diabetes, cigarette smoking, age (per SD), CAC (per SD) and dyslipidemia were significantly associated with all-cause mortality at 1 year: HR (95% confidence interval) = 2.62 (1.55-4.43), 2.42 (1.41-4.15), 1.52 (1.16-1.99), 1.33 (CAC 1.11-1.56) and 0.58 (0.34-0.98) respectively. There was no association with hypertension [HR (95% confidence interval) = 0.90 (0.55-1.47)].

Conclusion: Smoking and diabetes are strongly associated with one-year all-cause mortality among persons with extensive CAC, perhaps suggesting that these risk factors serve as triggers of acute events.

Keywords: All-cause mortality; Cardiovascular risk factors; Subclinical atherosclerosis.

Publication types

  • Multicenter Study

MeSH terms

  • Aged
  • Atherosclerosis / diagnosis
  • Atherosclerosis / metabolism
  • Atherosclerosis / mortality
  • Calcinosis / diagnosis
  • Calcinosis / metabolism*
  • Calcium / metabolism*
  • Cardiovascular Diseases / diagnosis
  • Cardiovascular Diseases / metabolism*
  • Cardiovascular Diseases / mortality*
  • Cause of Death
  • Cohort Studies
  • Coronary Vessels / pathology*
  • Diabetes Complications / diagnosis
  • Female
  • Humans
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Proportional Hazards Models
  • Risk Factors

Substances

  • Calcium