Prognostic Value of Absence or Presence of Coronary Artery Disease Determined by 64-Slice Computed Tomography Coronary Angiography: A Systematic Review and Meta-Analysis
OBJECTIVES: To determine via a meta-analysis the prognostic value of 64-slice computed tomography angiography (CTA) by quantifying risk of major adverse cardiac events (MACE) in different patient groups classified according to CT angiographic findings.
METHODS: A systematic literature search and meta-analyses was conducted on 10 studies examining stable, symptomatic and intermediate risk patients by 64-slice CTA. Patients were followed up for a mean of 21 month. Patient groups with CT-angiographic non-obstructive (stenosis <50% of luminal narrowing) or obstructive (stenosis >50% of luminal narrowing) CAD were compared to those having normal angiography without CAD. MACE (cardiac death, non-fatal myocardial infarction and revascularization) numbers were used to calculate odds ratios (OR) with 95% confidence interval (CI) in each group.
RESULTS: Ten studies including 5,675 patients were eligible for meta-analysis. The cumulative MACE rate over 21 months were 0.5% in patients with normal CTA, 3.5% in non-obstructive CAD and 16% in obstructive CAD. Compared to normal CTA, non-obstructive CAD was associated with significant increased risk of MACE with OR = 6.68 (3.01-14.82 CI 95%), P = 0.0001. Obstructive CAD was associated with further significant increased risk of MACE with OR = 41.19 (22.56-75.18, CI 95%), P = 0.0001. The studies were homogenous, P-value >0.05 for heterogeneity.
CONCLUSIONS: 64-slice CTA is able to differentiate low-risk from high-risk patients with suspected or known CAD. Absence of CAD predicts excellent prognosis, while obstructive CAD is associated with markedly increased risk of MACE.
PMID: 20549366
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Paul Schoenhagen on June 22nd, 2010
See the post on May 18:
Incremental Prognostic Significance of Left Ventricular Dysfunction to Coronary Artery Disease Detection by 64-Detector Row Coronary Computed Tomographic Angiography for the Prediction of All-Cause Mortality: Results from a Two-Centre Study of 5330 Patients.
James K. Min, Fay Y. Lin, Allison M. Dunning, Augustin Delago, John Egan, Leslee J. Shaw, Daniel S. Berman, Tracy Q. Callister.
Eur Heart J . 2010; 31(10):1212-1219.
PMID: 20197423