1. Risk modeling in transcatheter aortic valve replacement remains unsolved: an external validation study in 2946 German patients
- Author
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Eberhard Grube, Tobias Zeus, Ralf Westenfeld, Andrea Icks, Oliver Maier, Atsushi Sugiura, Jasmin Shamekhi, Noriaki Tabata, Jan-Malte Sinning, C Parco, Kathrin Klein, Georg Nickenig, Amin Polzin, Verena Veulemans, Stephan Baldus, Christian Jung, Malte Kelm, Baravan Al-Kassou, Alexander Sedaghat, and Georg Wolff
- Subjects
Male ,medicine.medical_specialty ,Validation study ,Transcatheter aortic ,medicine.medical_treatment ,Decision Making ,TAVR ,030204 cardiovascular system & hematology ,Risk Assessment ,Aortic disease ,TAVI ,Transcatheter Aortic Valve Replacement ,03 medical and health sciences ,Postoperative Complications ,0302 clinical medicine ,GAVS ,Valve replacement ,Risk Factors ,Germany ,Internal medicine ,medicine ,Humans ,030212 general & internal medicine ,Mortality ,Aged ,Retrospective Studies ,Aged, 80 and over ,Original Paper ,business.industry ,Incidence ,External validation ,EuroSCORE ,General Medicine ,Risk prediction ,Surgical risk ,Survival Rate ,Cohort ,Cardiology ,Female ,Cardiology and Cardiovascular Medicine ,business ,Follow-Up Studies - 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 TAVRMethods 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 ofc-indices 0.60 to 0.66); performance was very similar in TA TAVR (LogES I, ES II, FRANCE-2 and GAVS-II all withc-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.Graphic abstract
- Published
- 2020
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