Key result
SCAD and Takotsubo syndrome share mechanisms and frequently coexist, warranting unified diagnostic algorithms to prevent misdiagnosis.
Why the study?
SCAD and TTS may coexist more frequently than recognized, sharing pathophysiological mechanisms, and their overlapping presentations create diagnostic challenges that can lead to misdiagnosis.
SCAD and Takotsubo syndrome share overlapping pathophysiological mechanisms and can coexist, requiring careful diagnostic evaluation to avoid misdiagnosis and inappropriate management.
May increase vigilance for diagnostic overlap in ambiguous cases; leaves open prospective validation of unified algorithms.
Spontaneous coronary artery dissection (SCAD) and Takotsubo syndrome (TTS) are two conditions presenting as acute coronary syndromes that predominantly affect women and are frequently triggered by emotional or physical stress. While traditionally considered distinct entities, emerging evidence suggests that these conditions may coexist more frequently than previously recognized, sharing common pathophysiological mechanisms centered on catecholamine-mediated pathways, vascular vulnerability, and hormonal influences. Their overlapping presentations create significant diagnostic challenges that may lead to misdiagnosis and suboptimal management. This narrative review examines the pathophysiological convergence between SCAD and TTS, addresses the diagnostic complexity arising when these entities coexist, and proposes a novel stepwise diagnostic algorithm integrating clinical risk stratification, coronary angiography, intracoronary imaging, and cardiac magnetic resonance imaging. The review also provides scenario-dependent management guidance and outlines priorities for future research.
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Golino et al. (2026) conducted a review in Spontaneous Coronary Artery Dissection (SCAD) and Takotsubo Syndrome (TTS). Stepwise diagnostic algorithm and scenario-dependent management was evaluated. SCAD and Takotsubo syndrome share pathophysiological mechanisms and may coexist more frequently than recognized, necessitating a unified diagnostic algorithm to prevent misdiagnosis.
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