Left ventricular myocardial deformation in Takotsubo syndrome: a cardiovascular magnetic resonance myocardial feature tracking study.

OBJECTIVES: This study assessed the applicability and prognostic value of cardiovascular magnetic resonance (CMR) left ventricular deformation analysis in Takotsubo syndrome (TTS).

METHODS: CMR-feature tracking was performed blinded in a core laboratory to determine circumferential (CS), radial (RS) and longitudinal strain (LS) in 141 TTS patients participating in this cohort study. A subgroup of consecutive TTS patients (n = 20) was compared with age- and sex-matched controls with anterior ST-segment elevation myocardial infarction (STEMI) and non-STEMI as well as healthy subjects.

RESULTS: Median global CS, RS and LS were -19%, 19% and -12%, respectively. Apical ballooning was associated with significantly lower global CS (p < 0.01) and LS (p < 0.01) compared with midventricular and basal ballooning. Global RS was lowest in patients with basal ballooning (p < 0.01). Segmental analysis resulted in a reliable discrimination of different ballooning patterns using CS and LS. Strain values were significantly lower in TTS compared with non-STEMI patients and healthy subjects, whereas STEMI patients showed similar values. While global CS and RS were not associated with long-term mortality, global LS (cutoff -14.75%) was identified as a potential parameter for long-term risk stratification (mortality rate 17.9% versus 2.5%; p = 0.02).

CONCLUSIONS: The transient contraction abnormalities in TTS can be quantitatively assessed with CMR-feature tracking. GLS is a potential determinant of outcome in TTS, which, however, requires further validation.

KEY POINTS: • Cardiovascular magnetic resonance myocardial feature tracking enables accurate assessment of regional and global left ventricular dysfunction in Takotsubo syndrome (TTS). • Global strain in TTS is similar to patients with anterior STEMI and lower compared with non-STEMI and healthy subjects. • Global longitudinal strain is a potential tool for risk prediction in TTS patients.