The EuroSCORE - still helpful in patients undergoing isolated aortic valve replacement?

  • Wendt D
  • Osswald B
  • Thielmann M
 et al. 
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BACKGROUND: The European System for Cardiac Operative Risk Evaluation (EuroSCORE) is one of the most prominent scores used for the evaluation of predicted mortality in cardiac surgery. The aim of our study was to analyze the logistic and additive EuroSCORE in view of its accuracy for patients undergoing isolated aortic valve replacement (AVR). METHODS: A total of 652 patients underwent isolated AVR from January 1999 to June 2007. Emergency and redo operations were included. Acute endocarditis was excluded. Out of logistic regression analyses, receiver operating characteristic (ROC) curve statistics were calculated both for the logistic and additive EuroSCORE. RESULTS: By using the identical variables used in the EuroSCORE, the area under curve was 70.7% for the logistic and 72.4% for the additive EuroSCORE, respectively. If age, which is by nature positively correlated with increasing cardiac and non-cardiac comorbidity, is calculated as a single parameter, the area under curve remains at 69.9% being very close to the result of the EuroSCORE. CONCLUSIONS: For the subgroup of patients undergoing isolated AVR, the use of the EuroSCORE provides a comparable precision concerning the estimation of early mortality compared with the simple factor 'age'. The extended use of the EuroSCORE in view of percutaneous AVR, the insufficient accuracy of the score bears the risk of incorrect decision-making.

Author-supplied keywords

  • Age Factors
  • Aged
  • Aortic Valve Stenosis
  • Aortic Valve Stenosis: diagnosis
  • Aortic Valve Stenosis: mortality
  • Aortic Valve Stenosis: surgery
  • Female
  • Health Status Indicators
  • Heart Valve Prosthesis Implantation
  • Heart Valve Prosthesis Implantation: adverse effec
  • Heart Valve Prosthesis Implantation: mortality
  • Hospital Mortality
  • Humans
  • Kaplan-Meier Estimate
  • Logistic Models
  • Male
  • Middle Aged
  • Patient Selection
  • Predictive Value of Tests
  • ROC Curve
  • Risk Assessment
  • Risk Factors
  • Time Factors
  • Treatment Outcome

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  • Daniel Wendt

  • Brigitte Osswald

  • Matthias Thielmann

  • Katrin Kayser

  • Paschalis Tossios

  • Parwis Massoudy

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