title: "Heart Team" decision making in elderly patients with symptomatic aortic valve stenosis who underwent AVR or TAVI - a look behind the curtain. Results of the prospective TAVI Calculation of Costs Trial (TCCT).
abstract: OBJECTIVE
  Little is known about how "Heart Team" treatment decisions among patients suitable for either surgical aortic valve replacement (AVR) or transcatheter aortic valve implantation (TAVI) are made under routine conditions.
  
  
  RESULTS
  The "Heart Team" decision-making process was analysed with respect to124 patients of a non-randomised prospective clinical trial that included patients aged ≥75 years: 41 patients underwent AVR and 83 underwent TAVI. By use of the non-parametric classification and regression tree (CART) methodology, 21 baseline parameters were tested to reconstruct the decision process retrospectively. Next, multivariate logistic and Cox regression models were fitted to evaluate the decision and outcome relevance (two-year survival) of the parameters as identified in the CART procedure. For patients with a baseline EuroSCORE I ≥13.48%, no further cut-off points were identified and the majority of these patients underwent TAVI. Among patients with a baseline EuroSCORE I <13.48%, age and left ventricular ejection fraction (LVEF) were identified as further relevant decision parameters. The decision relevance of EuroSCORE I (p=0.003), age (p=0.024) and LVEF (p=0.047) were confirmed by multivariate analysis; however, outcome relevance can be confirmed for EuroSCORE I (p=0.015) only, while treatment decision (TAVI or AVR) was not a significant predictor of mortality (p=0.655).
  
  
  CONCLUSIONS
  Despite or even because of the systematic risk selection according to EuroSCORE I values, we observed two-year survival rates of about 75% regardless of whether the patient received TAVI or AVR, suggesting that the decisions made by the "Heart Team" were appropriate.
authors.affiliation: Clinical Epidemiology, Center for Medical Biometry and Medical Informatics, Medical Center - University of Freiburg, Freiburg, Germany.
authors.forename: Klaus
authors.initials: K
authors.lastname: Kaier
authors.forename: Anja
authors.initials: A
authors.lastname: Gutmann
authors.forename: Werner
authors.initials: W
authors.lastname: Vach
authors.forename: Stefan
authors.initials: S
authors.lastname: Sorg
authors.forename: Matthias
authors.initials: M
authors.lastname: Siepe
authors.forename: Constantin
authors.initials: C
authors.lastname: von Zur Mühlen
authors.forename: Martin
authors.initials: M
authors.lastname: Moser
authors.forename: Philipp
authors.initials: P
authors.lastname: Blanke
authors.forename: Friedhelm
authors.initials: F
authors.lastname: Beyersdorf
authors.forename: Manfred
authors.initials: M
authors.lastname: Zehender
authors.forename: Christoph
authors.initials: C
authors.lastname: Bode
authors.forename: Jochen
authors.initials: J
authors.lastname: Reinöhl
mesh_terms: D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D001021:Aortic Valve / Q000503:physiopathology / Q000601:surgery*; D001024:Aortic Valve Stenosis / Q000150:complications / Q000175:diagnosis / Q000401:mortality / Q000503:physiopathology / Q000601:surgery / Q000628:therapy*; D006328:Cardiac Catheterization / Q000009:adverse effects / Q000295:instrumentation / Q000379:methods* / Q000401:mortality; D003661:Decision Support Techniques; D003663:Decision Trees; D005260:Female; D005858:Germany; D019918:Heart Valve Prosthesis Implantation / Q000009:adverse effects / Q000295:instrumentation / Q000379:methods* / Q000401:mortality; D006801:Humans; D053208:Kaplan-Meier Estimate; D016015:Logistic Models; D008297:Male; D015999:Multivariate Analysis; D016017:Odds Ratio; D010348:Patient Care Team; D018579:Patient Selection; D016016:Proportional Hazards Models; D011446:Prospective Studies; D018570:Risk Assessment; D012307:Risk Factors; D013318:Stroke Volume; D016896:Treatment Outcome; D016277:Ventricular Function, Left