Arrhythmias & electrophysiology
Predicting Major Adverse Events in Patients Undergoing Transcatheter Left Atrial Appendage Occlusion
Authors' conclusion
A transcatheter LAAO risk model using National Cardiovascular Data Registry and LAAO Registry data can predict in-hospital major adverse events, demonstrated consistency across hospitals and can be used for quality improvement efforts. A simple bedside risk score was similarly predictive
Study context
- Population
- Patients undergoing transcatheter LAAO with Watchman FLX, NCDR LAAO Registry, US, July 2020 to September 2021
- Participants
- 41,001 LAAO procedures
- Comparison
- Development vs Validation
- Developmentn = 28,530
- Validationn = 12,471
- Outcome
- In-hospital major adverse events (model prediction)
- Follow-up
- Median in-hospital
Methodological detailsregistry-based, random split development/validation cohorts, 1000 bootstrapped samples, forward stepwise logistic regression
- Registry-based
- Random split development/validation cohorts
- 1000 bootstrapped samples
- Forward stepwise logistic regression
Performance
As reported in the abstract
Model discrimination (C-index)
| Test or model | C-index |
|---|---|
| Development | 0.67 [95% CI, 0.65-0.70] |
| Validation | 0.66 [95% CI, 0.62-0.70] |
C-index
Development0.67 [95% CI, 0.65-0.70]
Validation0.66 [95% CI, 0.62-0.70]
Further findings
In-hospital risk-standardized adverse event rate (across hospitals) · median in-hospital
- Median rate
- 1.50% (range, 1.03%-2.84%; IQR, 1.42%-1.64%)
Simplified bedside risk score · median in-hospital
- Well calibrated; risk of in-hospital major adverse events for score 0 to 8
- 0.26% to 3.90%
Original publication
Predicting Major Adverse Events in Patients Undergoing Transcatheter Left Atrial Appendage Occlusion. Circ Arrhythm Electrophysiol. Published 23 February 2024. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →