Literature DB >> 23553584

Prognostic value of unrecognised myocardial infarction detected by late gadolinium-enhanced MRI in diabetic patients with normal global and regional left ventricular systolic function.

Yeonyee E Yoon1, Kakuya Kitagawa, Shingo Kato, Hiroshi Nakajima, Tairo Kurita, Kaoru Dohi, Masaaki Ito, Hajime Sakuma.   

Abstract

OBJECTIVES: To determine whether the detection of unrecognised myocardial infarction (MI) using late gadolinium-enhanced (LGE)-magnetic resonance imaging (MRI) can provide prognostic information in diabetic patients with normal ECG as well as normal global and regional left ventricular (LV) function.
METHODS: From 449 diabetic patients who had complete cine- and LGE-MRI, 321 patients with histories of CAD, ischaemic ECG changes and abnormal cine MRI findings (LV ejection fraction <50 % or presence of regional wall motion abnormality) were excluded. The presence and extent of LGE were determined in the remaining 128 patients. Follow-up information was obtained for the occurrence of major adverse cardiovascular events (MACE) defined as cardiac death, acute MI, heart failure, unstable angina and significant ventricular arrhythmias in 120 patients.
RESULTS: Of 120 patients, 18 (15 %) had LGE. During follow-up (median, 27 months), six patients with LGE (33.3 %) and four patients without LGE (3.9 %) experienced MACE, resulting in an annualised event rate of 7.7 % and 0.9 %, respectively (log-rank P <0.001). The presence of LGE was associated with an eight-fold increased hazard for MACE (HR, 8.84; P = 0.001).
CONCLUSIONS: LGE-MRI can detect unrecognised MI and may improve the risk stratification of diabetic patients with no CAD history, normal ECG and normal LV systolic function. KEY POINTS: • Late gadolinium-enhanced magnetic resonance imaging (LGE-MRI) can identify subtle myocardial abnormalities. • LGE-MRI can detect myocardial infarction missed by ECG and cine-MRI. • Unrecognised MI detected by LGE-MRI was associated with adverse cardiac events. • LGE-MRI helps clinicians to assess diabetic patients with unrecognised MI.

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Year:  2013        PMID: 23553584     DOI: 10.1007/s00330-013-2817-y

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


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Journal:  J Am Coll Cardiol       Date:  2020-08-25       Impact factor: 24.094

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