Literature DB >> 22055795

A meta-analysis of 64-section coronary CT angiography findings for predicting 30-day major adverse cardiac events in patients presenting with symptoms suggestive of acute coronary syndrome.

Kevin M Takakuwa1, Scott W Keith, Adrian T Estepa, Frances S Shofer.   

Abstract

RATIONALE AND
OBJECTIVES: To determine the accuracy of 64-section coronary computed tomography angiography (CCTA) in predicting 30 day major adverse cardiac events (MACE) for patients presenting with symptoms concerning for acute coronary syndrome (ACS).
MATERIALS AND METHODS: Electronic databases between January 1, 2005, and May, 1, 2011, and reference lists from relevant published research articles were searched. We included studies on adult patients who presented with active symptoms suggestive of ACS, had immediate 64-section CCTA performed and were assessed for MACE at a minimum of 30 days past their initial presentation. Studies had to report or provide sufficient detail to determine sensitivity, specificity, positive predictive value, and negative predictive value in relation to MACE using a 50% diameter stenosis as cutoff criterion for coronary artery disease.
RESULTS: Nine studies were included for a total of 1559 patients studied (42.3% women, mean age 51.9 ± 10.6). Patients ranged from low to intermediate risk for ACS. All had initial inconclusive electrocardiograms and negative cardiac biomarker results. A total of 14.8% of patients had a positive CCTA result. The pooled sensitivity was 93.3% (95% CI 88.3%-96.6%), specificity was 89.9% (95% CI 88.3%-91.3%), positive predictive value was 48.1% (95% CI 42.5%-53.8%), and negative predictive value was 99.3% (95% CI 98.7%-99.6%).
CONCLUSION: Sixty-four section CCTA had a 99.3% negative predictive value in excluding MACE for 30 days after initial symptom presentation in 85.2% of our study population. Although the value of 64-section CCTA is best for identifying patients who can safely be discharged home, it is less useful for patients who have positive results. Copyright Â
© 2011 AUR. Published by Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 22055795     DOI: 10.1016/j.acra.2011.08.013

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  8 in total

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  8 in total

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