ReviewJournal of cardiovascular development and disease2025
Patient Phenotypes Undergoing Tricuspid Transcatheter Edge-to-Edge Repair: Finding the Optimal Candidate.
Review in Journal of cardiovascular development and disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Authors and funding
10 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Tricuspid regurgitation (TR) is a well-recognized factor contributing to adverse outcomes and mortality. Recent developments in transcatheter valve repair techniques, with the emergence of tricuspid transcatheter edge-to-edge repair (TEER) devices, have altered the treatment algorithm of TR and now offer a safe and feasible alternative for the effective management of the disease and an improvement in patient symptoms. Evidence from large studies and registries showcases the benefit of tricuspid interventions in terms of heart failure hospitalization and quality of life; however, most studies do not report a significant benefit in terms of hard outcomes. Even though longer-term follow-up may be needed to identify such differences, it is important to also identify distinct patient phenotypes that would benefit the most from such interventions, moving from pure anatomical criteria to an overall assessment of the patient's clinical status. Therefore, the aim of this review is to provide updates on potential moderators of the effect of tricuspid TEER, focusing on novel anatomical criteria, right cardiac function, and renal physiology, in order to guide patient selection and provide an insightful discussion on the optimal patient phenotype for future trial design.
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