Unrequested information from routine diagnostic chest CT predicts future cardiovascular events

Eur Radiol. 2011 Aug;21(8):1577-85. doi: 10.1007/s00330-011-2112-8. Epub 2011 May 21.

Abstract

Objectives: An increase in the number of CT investigations will likely result in a an increase in unrequested information. Clinical relevance of these findings is unknown. This is the first follow-up study to investigate the prognostic relevance of subclinical coronary (CAC) and aortic calcification (TAC) as contained in routine diagnostic chest CT in a clinical care population.

Methods: The follow-up of 10,410 subjects (>40 years) from a multicentre, clinical care-based cohort of patients included 240 fatal to 275 non-fatal cardiovascular disease (CVD) events (mean follow-up 17.8 months). Patients with a history of CVD were excluded. Coronary (0-12) and aortic calcification (0-8) were semi-quantitatively scored. We used Cox proportional-hazard models to compute hazard ratios to predict CVD events.

Results: CAC and TAC were significantly and independently predictive of CVD events. Compared with subjects with no calcium, the adjusted risk of a CVD event was 3.7 times higher (95% CI, 2.7-5.2) among patients with severe coronary calcification (CAC score ≥6) and 2.7 times higher (95% CI, 2.0-3.7) among patients with severe aortic calcification (TAC score ≥5).

Conclusions: Subclinical vascular calcification on CT is a strong predictor of incident CVD events in a routine clinical care population.

Publication types

  • Multicenter Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Analysis of Variance
  • Aortic Diseases / diagnostic imaging*
  • Aortic Diseases / mortality
  • Calcinosis / diagnostic imaging*
  • Chi-Square Distribution
  • Coronary Disease / diagnostic imaging*
  • Coronary Disease / mortality
  • Female
  • Follow-Up Studies
  • Humans
  • Incidental Findings
  • Male
  • Middle Aged
  • Predictive Value of Tests
  • Prognosis
  • Proportional Hazards Models
  • Radiography, Thoracic
  • Retrospective Studies
  • Risk Assessment
  • Risk Factors
  • Tomography, X-Ray Computed*