Condition: Takotsubo Cardiomyopathy · Machine Learning · Magnetic Resonance Imaging · Sponsor: University of Cagliari
The primary objective of this observational registry is to develop a comprehensive clinical and imaging score (incorporating echocardiography and cardiac magnetic resonance data) that enhances risk stratification for patients with Takotsubo syndrome. The secondary objectives of this registry are as follows: Investigate the diagnostic value of cardiac magnetic resonance parameters in predicting in-hospital and long-term outcomes in patients with Takotsubo syndrome. Compare the proposed risk stratification score for patients with Takotsubo syndrome with previously existing scores. Investigate the contribution of machine learning models in predicting in-hospital and long-term outcomes compared to standard clinical scores. The design and rationale of this registry are available at 10.1097/RTI.0000000000000709
This description comes directly from the study's public registry record.
Riccardo Cau, MD · +3393493317 · riccardo.cau@unica.it
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| University of Cagliari | Cagliari, Italy, Italy | Recruiting |
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Source record: clinicaltrials.gov/study/NCT06277297