The Diagnostic and Prognostic Utility of Contemporary Cardiac Magnetic Resonance in Suspected Acute Myocarditis.
Jakub LaganChristien FortuneDavid C HutchingsJoshua BradleyJosephine H NaishRichard TimoneyDaniel PrescottHamish D C BainTasneem BangiJerome McIntoshRobin EgdellR Bruce IrwinDavid ClarkErik B SchelbertGaetano NuciforaMatthias SchmittChristopher A MillerPublished in: Diagnostics (Basel, Switzerland) (2022)
Cardiovascular magnetic resonance (CMR) is used to investigate suspected acute myocarditis, however most supporting data is retrospective and few studies have included parametric mapping. We aimed to investigate the utility of contemporary multiparametric CMR in a large prospective cohort of patients with suspected acute myocarditis, the impact of real-world variations in practice, the relationship between clinical characteristics and CMR findings and factors predicting outcome. 540 consecutive patients we recruited. The 113 patients diagnosed with myocarditis on CMR performed within 40 days of presentation were followed-up for 674 (504-915) days. 39 patients underwent follow-up CMR at 189 (166-209) days. CMR provided a positive diagnosis in 72% of patients, including myocarditis (40%) and myocardial infarction (11%). In multivariable analysis, male sex and shorter presentation-to-scan interval were associated with a diagnosis of myocarditis. Presentation with heart failure (HF) was associated with lower left ventricular ejection fraction (LVEF), higher LGE burden and higher extracellular volume fraction. Lower baseline LVEF predicted follow-up LV dysfunction. Multiparametric CMR has a high diagnostic yield in suspected acute myocarditis. CMR should be performed early and include parametric mapping. Patients presenting with HF and reduced LVEF require closer follow-up while those with normal CMR may not require it.
Keyphrases
- ejection fraction
- magnetic resonance
- heart failure
- left ventricular
- end stage renal disease
- newly diagnosed
- prognostic factors
- liver failure
- primary care
- healthcare
- oxidative stress
- pulmonary embolism
- high resolution
- intensive care unit
- percutaneous coronary intervention
- risk factors
- machine learning
- acute myocardial infarction
- patient reported outcomes
- drug induced
- atrial fibrillation
- cross sectional
- high density
- patient reported
- acute coronary syndrome
- mass spectrometry
- contrast enhanced
- artificial intelligence