ArticleClinical research in cardiology : official journal of the German Cardiac Society2021
Risk modeling in transcatheter aortic valve replacement remains unsolved: an external validation study in 2946 German patients.
Article in Clinical research in cardiology : official journal of the German Cardiac Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.
- Comparison of Sutureless Aortic Valve Replacement and Transcatheter Aortic Valve Implantation: A Systematic Review and Meta-Analysis of Propensity Score Matching.Reviews in cardiovascular medicine · 2024Pooled it
- Clinical Utility and Limitations of Traditional Risk Scores (EuroSCORE, EuroSCORE II, and STS-PROM) in Patients Undergoing TAVI: A Narrative Review.Journal of clinical medicine · 2026Review
- New risk model for prognostic prediction after surgical aortic valve replacement in hemodialysis patients.General thoracic and cardiovascular surgery · 2026Article
- Evaluation of Risk Score for Isolated Surgical Aortic Valve Replacement and Transcatheter Aortic Valve Replacement-Results from the German National Quality Database.Interdisciplinary cardiovascular and thoracic surgery · 2026Article
- Geriatric nutritional risk index improves risk scoring for mortality after TAVR compared to established scores.Frontiers in cardiovascular medicine · 2026Article
- Preoperative risk model and nomogram for 30‑Day mortality after TAVR: development and internal validation in a Chinese cohort.BMC surgery · 2025Article
- Prognostic utility of mid-regional pro-adrenomedullin and growth differentiation factor 15 in patients undergoing transfemoral transcatheter aortic valve implantation.Clinical research in cardiology : official journal of the German Cardiac Society · 2025Observational
- Epicardial adipose tissue as an independent predictor of long-term outcome in patients with severe aortic stenosis undergoing transcatheter aortic valve replacement.Clinical research in cardiology : official journal of the German Cardiac Society · 2025Article
- A Neuronal Network-Based Score Predicting Survival in Patients Undergoing Aortic Valve Intervention: The ABC-AS Score.Journal of clinical medicine · 2024Article
- Article
- OLD-TAVR score to predict 2-year mortality in patients aged 75 years and more undergoing transcatheter aortic valve replacement.European geriatric medicine · 2023Article
- Clinical Impact of Heart Team Decisions for Patients With Complex Valvular Heart Disease: A Large, Single-Center Experience.Journal of the American Heart Association · 2022Article
- Circulating Monocyte Subsets and Transcatheter Aortic Valve Replacement.International journal of molecular sciences · 2022Review
- Anatomy of a Transcatheter Mitral Valve Service.Frontiers in cardiovascular medicine · 2022Article
- National Cardiovascular Data Registry-Acute Kidney Injury (NCDR) vs. Mehran risk models for prediction of contrast-induced nephropathy and need for dialysis after coronary angiography in a German patient cohort.Journal of nephrology · 2021Article
- Update and, internal and temporal-validation of the FRANCE-2 and ACC-TAVI early-mortality prediction models for Transcatheter Aortic Valve Implantation (TAVI) using data from the Netherlands heart registration (NHR).International journal of cardiology. Heart & vasculature · 2021Article
- Local and Distributed Machine Learning for Inter-hospital Data Utilization: An Application for TAVI Outcome Prediction.Frontiers in cardiovascular medicine · 2021Article
Corrections and comments
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Authors and funding
20 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundSurgical risk prediction models are routinely used to guide decision-making for transcatheter aortic valve replacement (TAVR). New and updated TAVR-specific models have been developed to improve risk stratification; however, the best option remains unknown.
objectiveTo perform a comparative validation study of six risk models for the prediction of 30-day mortality in TAVR METHODS AND
resultsA total of 2946 patients undergoing transfemoral (TF, n = 2625) or transapical (TA, n = 321) TAVR from 2008 to 2018 from the German Rhine Transregio Aortic Diseases cohort were included. Six surgical and TAVR-specific risk scoring models (LogES I, ES II, STS PROM, FRANCE-2, OBSERVANT, GAVS-II) were evaluated for the prediction of 30-day mortality. Observed 30-day mortality was 3.7% (TF 3.2%; TA 7.5%), mean 30-day mortality risk prediction varied from 5.8 ± 5.0% (OBSERVANT) to 23.4 ± 15.9% (LogES I). Discrimination performance (ROC analysis, c-indices) ranged from 0.60 (OBSERVANT) to 0.67 (STS PROM), without significant differences between models, between TF or TA approach or over time. STS PROM discriminated numerically best in TF TAVR (c-index 0.66; range of c-indices 0.60 to 0.66); performance was very similar in TA TAVR (LogES I, ES II, FRANCE-2 and GAVS-II all with c-index 0.67). Regarding calibration, all risk scoring models-especially LogES I-overestimated mortality risk, especially in high-risk patients.
conclusionsSurgical as well as TAVR-specific risk scoring models showed mediocre performance in prediction of 30-day mortality risk for TAVR in the German Rhine Transregio Aortic Diseases cohort. Development of new or updated risk models is necessary to improve risk stratification.
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