What type of study is this?

This is a Human Clinical Trial study.

What question did this study set out to answer?

The study aimed to create and validate a clinical prediction model for the 1-year risk of heart failure hospitalization or death following TAVR.

January 8, 2026Circulation Cardiovascular Interventions

The prediction model identified a 17.4% risk for composite outcomes of death or HF readmission at 1 year post-TAVR, with a C statistic of 0.753 indicating good discrimination.

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Key result

Authors

BEBassim El‐Sabawi PMPratik Manandhar JBJaved Butler

Discussion

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Overview

Develops and validates a prediction model for heart failure hospitalization or death post-TAVR, suggesting it can improve patient monitoring.

Key Points

The study aimed to create and validate a clinical prediction model for the 1-year risk of heart failure hospitalization or death following TAVR.
Analyzed patients from the Society of Thoracic Surgeons/American College of Cardiology registry who successfully underwent TAVR
Utilized hierarchical cumulative odds regression to assess the risk for a composite outcome
Identified covariates based on expert opinion and literature review
Among 78,384 patients, 17.4% faced the composite outcome of death or HF readmission
Death occurred in 10.9% of patients, while HF readmissions were 1.6% for ≥2 and 4.9% for 1 readmission
The prediction model showed good discrimination with C statistics of 0.753 for derivation and 0.747 for validation

Cite This Study

El‐Sabawi et al. (2025) studied this question. The prediction model identified a 17.4% risk for composite outcomes of death or HF readmission at 1 year post-TAVR, with a C statistic of 0.753 indicating good discrimination.

synapsesocial.com/papers/69608779fa51ca23bb9809cb https://doi.org/10.1161/circinterventions.125.015398

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January 8, 2026Circulation Cardiovascular Interventions

The prediction model identified a 17.4% risk for composite outcomes of death or HF readmission at 1 year post-TAVR, with a C statistic of 0.753 indicating good discrimination.

View Full Paper

Ask AI

Bookmark

Key result

The prediction model identified a 17.4% risk for composite outcomes of death or HF readmission at 1 year post-TAVR, with a C statistic of 0.753 indicating good discrimination.

Authors

BEBassim El‐Sabawi PMPratik Manandhar JBJaved Butler

Discussion

Member takes

Overview

Develops and validates a prediction model for heart failure hospitalization or death post-TAVR, suggesting it can improve patient monitoring.

Key Points

The study aimed to create and validate a clinical prediction model for the 1-year risk of heart failure hospitalization or death following TAVR.
Analyzed patients from the Society of Thoracic Surgeons/American College of Cardiology registry who successfully underwent TAVR
Utilized hierarchical cumulative odds regression to assess the risk for a composite outcome
Identified covariates based on expert opinion and literature review
Among 78,384 patients, 17.4% faced the composite outcome of death or HF readmission
Death occurred in 10.9% of patients, while HF readmissions were 1.6% for ≥2 and 4.9% for 1 readmission
The prediction model showed good discrimination with C statistics of 0.753 for derivation and 0.747 for validation

Cite This Study

synapsesocial.com/papers/69608779fa51ca23bb9809cb https://doi.org/10.1161/circinterventions.125.015398

Also Consider

Synapse has enriched one closely related paper. Consider it for comparative context:

1Spironolactone for Heart Failure with Preserved Ejection Fraction2014 · 2,808 citations

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