Studying the Outcomes in Patients with Tricuspid Regurgitation Treated with Valve Repair or Valve Replacement: Interpreting the Survival Pattern on The Long Term by Application of Artificial Intelligence Methods
Andrea Messori, Sabrina Trippoli, Maria Rita Romeo, Valeria Fadda, Melania Rivano, Lorenzo Di Spazio

TL;DR
This study uses artificial intelligence to analyze long-term survival in patients with tricuspid regurgitation treated with valve repair or replacement.
Contribution
The study applies the IPDfromKM method to compare valve repair and replacement outcomes across six trials.
Findings
Valve repair showed significantly better survival than valve replacement (HR 0.6098).
Heterogeneity was significant in valve replacement groups but not in repair groups.
NYHA class III or IV was a negative prognostic factor for valve replacement patients.
Abstract
The reconstruction of individual patient data from published Kaplan-Meier survival curves is a new technique (often denoted as the IPDfromKM method) for studying efficacy in cases where multiple trials are available, and the endpoint is long-term mortality. In patients with tricuspid regurgitation, both valve repair and valve replacement have been proposed to improve prognosis; 6 controlled clinical trials (CTs) have been conducted to compare the two therapeutic options mentioned above. The objective of our analysis was to study these six trials through the application of the IPDfromKM method. In the present report, we applied the IPDfromKM method to carry out a pooled analysis of these 6 CTs to investigate the effectiveness of valve repair vs valve replacement and to assess the between-study heterogeneity from this clinical material. After reconstructing individual patient…
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Taxonomy
TopicsCardiac Valve Diseases and Treatments · Cardiovascular Function and Risk Factors · Cardiac Imaging and Diagnostics
