Key result
Multiparametric clinical, imaging, and genetic evaluation optimizes diagnosis and risk stratification in DCM.
Why the study?
Dilated cardiomyopathy is an umbrella term for different pathogenic processes where an accurate diagnostic workup directly impacts outcome, necessitating an all-around personalized characterization.
A multiparametric approach integrating clinical, imaging, and genetic data is essential for the accurate diagnosis, risk stratification, and personalized management of non-ischaemic dilated cardiomyopathy.
Dilated cardiomyopathy is a primitive heart muscle condition, characterized by structural and functional abnormalities, in the absence of a specific cause sufficient to determine the disease. It is, though, an 'umbrella' term that describes the final common pathway of different pathogenic processes and gene-environment interactions. Performing an accurate diagnostic workup and appropriate characterization of the patient has a direct impact on the patient's outcome. The physician should adapt a multiparametric approach, including a careful anamnesis and physical examination and integrating imaging data and genetic testing. Aetiological characterization should be pursued, and appropriate arrhythmic risk stratification should be performed. Evaluations should be repeated thoroughly at follow-up, as the disease is dynamical over time and individual risk might evolve. The goal is an all-around characterization of the patient, a personalized medicine approach, in order to establish a diagnosis and therapy tailored for the individual patient.
No takes yet. Share an insight, caveat, or question.
Gava et al. (2023) conducted a review in Dilated cardiomyopathy. A multiparametric approach integrating clinical history, advanced imaging, and genetic testing is essential for personalized diagnosis, risk stratification, and management of dilated cardiomyopathy.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: