Takotsubo Syndrome and Gender Differences: Exploring Pathophysiological Mechanisms and Clinical Differences for a Personalized Approach in Patient Management.
Simona GiubilatoGiuseppina Maura FranceseMaria Teresa ManesRoberta RossiniRoberta Della BonaLaura GattoAntonio Di MonacoFilippo ZilioNicola GasparettoCarlotta Sorini DiniFrancesco BorrelloAntonia MannariniAngela Beatrice ScardoviDaniela PavanFrancesco AmicoGiovanna GeraciCarmine RiccioFurio ColivicchiMassimo GrimaldiMichele Massimo GuliziaFabrizio OlivaPublished in: Journal of clinical medicine (2024)
Takotsubo syndrome (TTS), also known as the broken-heart syndrome, is a reversible condition typically observed in female patients presenting for acute coronary syndromes (ACS). Despite its increasing incidence, TTS often remains undiagnosed due to its overlap with ACS. The pathophysiology of TTS is complex and involves factors such as coronary vasospasm, microcirculatory dysfunction, increased catecholamine levels, and overactivity of the sympathetic nervous system. Diagnosing TTS requires a comprehensive approach, starting with clinical suspicion and progressing to both non-invasive and invasive multimodal tests guided by a specific diagnostic algorithm. Management of TTS should be personalized, considering potential complications, the presence or absence of coronary artery disease (CAD), diagnostic test results, and the patient's clinical course. The current data primarily derive from case series, retrospective analyses, prospective registries, and expert opinions. In recent years, there has been growing recognition of gender differences in the pathophysiology, presentation, and outcomes of TTS. This review provides an updated overview of gender disparities, highlighting the importance of tailored diagnostic and management strategies.
Keyphrases
- case report
- coronary artery disease
- acute coronary syndrome
- end stage renal disease
- percutaneous coronary intervention
- coronary artery
- ejection fraction
- chronic kidney disease
- risk factors
- machine learning
- newly diagnosed
- oxidative stress
- healthcare
- mental health
- cardiovascular events
- peritoneal dialysis
- pain management
- coronary artery bypass grafting
- prognostic factors
- subarachnoid hemorrhage
- deep learning
- electronic health record
- antiplatelet therapy
- aortic stenosis
- cardiovascular disease
- patient reported outcomes
- adipose tissue
- big data
- metabolic syndrome
- climate change
- chronic pain
- data analysis