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Cardiac magnetic resonance for ventricular arrhythmias: a systematic review and meta-analysis
Christos A Papanastasiou1,2, Maria-Anna Bazmpani1, Polydoros N Kampaktsis3
11st Cardiology Department, University General Hospital of Thessaloniki AHEPA, Thessaloniki, Greece.
Insights
Cardiac magnetic resonance (CMR) identifies structural heart disease in 39% of patients with ventricular arrhythmias (VAs). CMR improves diagnosis and risk stratification for VAs, guiding early management strategies.
Area of Science:
- Cardiology
- Medical Imaging
- Electrophysiology
Background:
- Cardiac magnetic resonance (CMR) offers detailed myocardial tissue characterization, identifying inflammation or fibrosis linked to ventricular arrhythmias (VAs).
- Assessing structural heart disease (SHD) and CMR's prognostic role in VA patients is crucial for risk stratification.
Purpose of the Study:
- To estimate the prevalence of SHD in patients with significant VAs using CMR.
- To determine the prognostic implications of CMR findings in patients presenting with VAs.
Main Methods:
- A meta-analysis of proportions was conducted on data from 18 studies identified through electronic database searches.
- Pooled hazard ratios (HRs) were calculated to assess the prognostic value of CMR, specifically late gadolinium enhancement.
Main Results:
- The prevalence of SHD in patients with VAs was 39%, with higher rates in complex VAs (63%) compared to less complex ones (24%).
- CMR led to a change in diagnosis in 35% of cases. Non-ischaemic cardiomyopathy was the most common SHD (56%).
- Late gadolinium enhancement on CMR was associated with a 1.79-fold increased risk of major adverse outcomes in patients with VAs.
Conclusions:
- CMR is a valuable diagnostic and prognostic tool for patients with VAs.
- Early integration of CMR into the VA diagnostic algorithm aids in determining etiology, prognosis, and improving risk stratification.
Background:
Cardiac magnetic resonance (CMR) allows comprehensive myocardial tissue characterisation, revealing areas of myocardial inflammation or fibrosis that may predispose to ventricular arrhythmias (VAs). With this study, we aimed to estimate the prevalence of structural heart disease (SHD) and decipher the prognostic implications of CMR in selected patients presenting with significant VAs.
Methods:
Electronic databases were searched for studies enrolling adult patients that underwent CMR for diagnostic or prognostic purposes in the setting of significant VAs. A random effects model meta-analysis of proportions was performed to estimate the prevalence of SHD. HRs were pooled together in order to evaluate the prognostic value of CMR.
Results:
The prevalence of SHD was reported in 18 studies. In all-comers with significant VAs, the pooled rate of SHD post-CMR evaluation was 39% (24% in the subgroup of premature ventricular contractions and/or non-sustained ventricular tachycardia vs 63% in the subgroup of more complex VAs). A change in diagnosis after use of CMR ranged from 21% to 66% with a pooled average of 35% (29%-41%). A non-ischaemic cardiomyopathy was the most frequently identified SHD (56%), followed by ischaemic heart disease (21%) and hypertrophic cardiomyopathy (5%). After pooling together data from six studies, we found that the presence of late gadolinium enhancement was associated with increased risk of major adverse outcomes in patients with significant VAs (pooled HR: 1.79; 95% CI 1.33 to 2.42).
Conclusion:
CMR is a valuable tool in the diagnostic and prognostic evaluation of patients with VAs. CMR should be considered early after initial evaluation in the diagnostic algorithm for VAs of unclear aetiology as this strategy may also define prognosis and improve risk stratification.
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