We have located links that may give you full text access.
Comparative Study
Journal Article
Mortality prediction following transcatheter aortic valve replacement: A quantitative comparison of risk scores derived from populations treated with either surgical or percutaneous aortic valve replacement. The Israeli TAVR Registry Risk Model Accuracy Assessment (IRRMA) study.
International Journal of Cardiology 2016 July 16
BACKGROUND: Accurate risk stratification is pivotal for appropriate selection of patients with severe symptomatic aortic stenosis for either surgical or transcatheter aortic valve replacement (TAVR). We sought to determine whether recent risk prediction models developed specifically in TAVR patients enhance prognostication in comparison with previous surgical scores used in clinical practice (EuroScore I, EuroScore II, STS).
METHODS: The Israeli TAVR Registry Risk Model Accuracy Assessment (IRRMA) study utilized a multicenter prospective TAVR database (n=1327) to perform a quantitative comparison between previous risk scores developed in either surgical or TAVR populations, with the present registry serving as an independent external validation set.
RESULTS: In the IRRMA population, 4 variables (NYHA functional class IV, chronic obstructive pulmonary disease, systolic pulmonary artery pressure ≥60mmHg, vascular access other than by the femoral route) identified by cross-validation and leave-one-out analyses provided the most discriminative model (C-statistic=0.63) for predicting 30-day mortality. Previous scores developed in surgical (EuroScores I and II, STS), TAVR (FRANCE-2, OBSERVANT), or mixed (German AV score) populations were applied to the IRRMA cohort. Resultant C-statistics ranged between 0.52-0.71 (for the German AV and FRANCE-2 scores, respectively) and did not differ significantly (p=0.07 for the comparison between the lowest and highest C-statistics). The observed C-statistic for 5 of these 6 scores was lower than originally reported when applied to the IRRMA population.
CONCLUSION: Available TAVR risk scores showed limited accuracy when applied to an independent validation set and did not enhance prognostication in comparison to previous surgical scores.
METHODS: The Israeli TAVR Registry Risk Model Accuracy Assessment (IRRMA) study utilized a multicenter prospective TAVR database (n=1327) to perform a quantitative comparison between previous risk scores developed in either surgical or TAVR populations, with the present registry serving as an independent external validation set.
RESULTS: In the IRRMA population, 4 variables (NYHA functional class IV, chronic obstructive pulmonary disease, systolic pulmonary artery pressure ≥60mmHg, vascular access other than by the femoral route) identified by cross-validation and leave-one-out analyses provided the most discriminative model (C-statistic=0.63) for predicting 30-day mortality. Previous scores developed in surgical (EuroScores I and II, STS), TAVR (FRANCE-2, OBSERVANT), or mixed (German AV score) populations were applied to the IRRMA cohort. Resultant C-statistics ranged between 0.52-0.71 (for the German AV and FRANCE-2 scores, respectively) and did not differ significantly (p=0.07 for the comparison between the lowest and highest C-statistics). The observed C-statistic for 5 of these 6 scores was lower than originally reported when applied to the IRRMA population.
CONCLUSION: Available TAVR risk scores showed limited accuracy when applied to an independent validation set and did not enhance prognostication in comparison to previous surgical scores.
Full text links
Related Resources
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app
All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.
By using this service, you agree to our terms of use and privacy policy.
Your Privacy Choices
You can now claim free CME credits for this literature searchClaim now
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app