Why the study?
Does contrast-enhanced CMR before discharge influence patient management in AMI patients with LVEF <40%?
Cohort (n=100)
Does contrast-enhanced CMR before discharge influence patient management in AMI patients with LVEF <40%?
Answers are grounded in this paper and cite their sources.
In post-MI patients with reduced LVEF, pre-discharge contrast-enhanced CMR is safe and alters clinical management in nearly a quarter of cases by detecting additional abnormalities.
OBJECTIVES: All patients should undergo formal assessment of ventricular function following acute myocardial infarction (AMI). Cardiac magnetic resonance (CMR) is not widely used as a test before discharge in AMI patients. This study sought to determine the impact of contrast-enhanced CMR (ceCMR) scanning before discharge in addition to standard transthoracic echocardiography (TTE) on patient care following AMI. METHODS: 100 patients admitted with AMI, all of whom had a left ventricular ejection fraction (LVEF) <40% on TTE, underwent ceCMR imaging before discharge. Abnormalities of clinical relevance detected on ceCMR, which influenced patient management, are reported. RESULTS: Each patient (77% male, mean age 58.9 years, SD 12) underwent TTE and ceCMR at a mean 1.4 (range 0.8-3.2) and 4.2 days (range 2-11), respectively, following admission. ceCMR significantly influenced the management of 24/100 (24%) of the patient cohort, through detection of LV thrombus, right ventricular infarction, intracardiac neoplasia, and a variety of intrathoracic and intra-abdominal pathology. There were no issues regarding safety in this high-risk group of patients. CONCLUSION: In a cohort of AMI patients with reduced LVEF, ceCMR scanning before discharge improved the management of 24% of the cohort. ceCMR is a useful and safe adjunct to standard care after AMI.
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Weir et al. (2008) conducted a cohort in Acute myocardial infarction (n=100). Contrast-enhanced cardiac magnetic resonance (ceCMR) vs. Standard transthoracic echocardiography (TTE) was evaluated on Influence on patient management through detection of clinically relevant abnormalities.
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