Publications by authors named "P Perrone Filardi"
The current paper reports the model organization, level of health care, and type of medical and research activities related to the existing heart failure centers of the Italian Society of Cardiology. Of note, we conduced an internal survey among the members of heart failure working group and related hospital and territorial sites about the quality of care and assistance levels according to the local hospital resources and type of diagnostic therapeutic and management resources. Thirty-two hospital ambulatorial structures have been identified, the centers were equally distributed within the national ground, with similar concentration between north and south regions of the Italian country.
View Article and Find Full Text PDFThe knowledge of pericardial diseases has now improved, including prospective and retrospective cohort studies focusing on the pathogenesis, diagnosis, treatment, and outcomes. The complex interplay between genetic predisposition (especially for autoinflammatory conditions), inflammation, and autoimmunity is now known to trigger recurrences of pericarditis. Moreover, diagnostic capabilities have improved with the implementation of multimodality imaging, particularly cardiac magnetic resonance (CMR), to detect and monitor pericardial inflammation, to allow diagnosis in more complicated cases, and tailor the duration of therapy based on objective parameters.
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- Coronary microvascular dysfunction (CMD) is significant beyond chronic coronary syndromes (CCS) and has important implications for heart health and treatment strategies.
- CMD can be detected using safe, non-invasive methods and is linked to various heart conditions, including heart failure and Takotsubo syndrome, even without the presence of obstructive coronary artery disease.
- Understanding CMD patterns outside of CCS may help identify disease progression and improve treatment response, acting as a warning sign for adverse cardiac changes.
Artificial intelligence has increasingly become an integral part of our daily activities. ChatGPT, a natural language processing technology developed by OpenAI, is widely used in various industries, including healthcare. The application of ChatGPT in healthcare is still evolving, with studies exploring its potential in clinical decision-making, patient education, workflow optimization, and scientific literature.
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- * Analyzed data from 7948 HF patients over a minimum of 2 years, employing topological data analysis (TDA) to find 19 patient clusters and trajectory analysis to outline disease evolution.
- * Findings included a 5-year survival rate across clusters ranging from 20% to 100%, with strong validation results from external and internal cohorts, confirming the reliability of the identified patient pathways.