Valvular & structural heart diseaseCohort study
Ascending aorta and pure aortic regurgitation transcatheter aortic valve replacement: insights from the National Transcatheter Valve Therapeutics Registry
- national registry-based, multicentre, retrospective cohort study
Authors' conclusion
In this large national registry-based observational and exploratory study, we identified the ascending aorta as the key predictor for PNAR patients who underwent self-expandable TF-TAVR. Patients with ascending aortic diameters greater than 41.6 mm may have a significantly higher 30-day all-cause mortality rate.
Study context
- Population
- Patients with pure native aortic regurgitation (PNAR) undergoing self-expandable transfemoral transcatheter aortic valve replacement (TF-TAVR), enrolled from the NTCVR in China between January 2017 and December 2023patients with PNAR from 72 centres in China
- Participants
- 890 patients
- Outcome
- all-cause mortality
- Follow-up
- 30 days
Main finding
As reported in the abstract
30-day all-cause mortality
2.7%
Observational data: associations, not effects.
Further findings
Risk factors for 30-day all-cause mortality (multivariate logistic regression)
| Comparison | OR (95% CI) | P value | |
|---|---|---|---|
| diameter of the ascending aorta | 1.103 (1.005–1.212) | P = 0.039 | |
| renal insufficiency | 4.602 (1.455–14.553) | P = 0.009 | |
| 0.050.21520Odds ratio (log scale) |
30-day all-cause mortality by ascending aorta diameter (XGBoost, Shapley Additive explanations)
| Comparison | OR (95% CI) | P value | |
|---|---|---|---|
| ascending aorta greater than 41.6 mm · significantly higher 30-day all-cause mortality rate | 5.027 (2.042–12.696) | P = 0.0004 | |
| 0.050.21520Odds ratio (log scale) |
In-hospital all-cause mortality
- in-hospital all-cause mortality
- 2.0%
30-day all-cause mortality by ascending aorta diameter (XGBoost, Shapley Additive explanations)
- diameter of the ascending aorta as the key predictor
Predictors of technical success
- NYHA class III/IV and annulus long diameter were predictors of technical success in multivariate analysis
Original publication
Summarised from the published abstract; every number is checked against it