Late Gadolinium Enhancement CMR Predicts Adverse Cardiovascular Outcomes and Mortality in Patients With Coronary Artery Disease: Systematic Review and Meta-Analysis
Section snippets
Background/Introduction
Coronary artery disease (CAD) is one of the most common diseases and causes of mortality in the modern world. Cardiovascular magnetic resonance (CMR) has a recognized role in diagnosing and monitoring CAD by assessing left ventricular (LV) function, myocardial perfusion, myocardial infarction (MI), and myocardial viability. Multiple studies have assessed the role of CMR modalities in predicting outcomes.1, 2, 3, 4 One recent meta-analysis summarized available literature on perfusion CMR as a
Methods
This systematic review was carried out using the methodology described by the Centre for Reviews and Dissemination of the University of York.6 A detailed review protocol was agreed upon before performing the review.
Results
Our initial database and literature searches identified 312 citations from which 133 were obtained for full-text review after removing duplicate studies and ones that did not describe the use of CMR. Sixty-six papers were rejected because they did not meet the basic criteria (CMR or LGE or CAD); a further 43 articles did not describe the prediction of mortality or MACE. One study was reported as a poster and a manuscript; thus, only the latter was included. Two references were excluded from the
Discussion
This systematic review is the first systematic review and meta-analysis summarizing the value of LGE in CAD and was carried out according to the methodology described by the Centre for Reviews and Dissemination of the University of York6 and supported by additional literature focusing on methodology of meta-analysis.29, 31
This review indicates that the presence of LGE on CMR is a strong predictor of mortality and MACE in patients with CAD. Meta-analysis of available prospective studies showed
Conclusions
The presence and size of LGE on CMR predict mortality and major adverse cardiovascular events in patients with CAD. Various parameters derived from LGE images seem to add value to predicting mortality and adverse cardiovascular events. Large RCTs and CSs are needed to establish the actual value of LGE and other parameters in the wider population.
Statement of Conflict of Interest
All authors declare that there are no conflicts of interest.
Acknowledgments
F. Zemrak and S.E. Petersen gratefully acknowledge the funding from the Barts and The London National Institute for Health Research Cardiovascular Biomedical Research Unit. The authors would like to thank Ms Helen Elwell from the British Medical Association Library in London for her help with our database search and Dr Jane Batchelor for her input in editing.
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Statement of Conflict of Interest: see page 228.