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European Heart Journal Advance Access originally published online on February 9, 2006
European Heart Journal 2006 27(7):768-769; doi:10.1093/eurheartj/ehi792
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© The European Society of Cardiology 2006. All rights reserved. For Permissions, please e-mail: journals.permissions@oxfordjournals.org

Importance of risk stratification models in cardiac surgery

Philippe Kolh*

University Hospital, Liège, Belgium

* Corresponding author. E-mail address: philippe.kolh@chu.ulg.ac.be

This editorial refers to ‘Comparison of 19 pre-operative risk stratification models in open-heart surgery’{dagger} by J. Nilsson et al., on page 867

The first 10% of the full text of this article appears below.

In a context of growing control of health-care expenditures, it is important to assess cardiac surgical results as precisely as possible. However, as patient population may differ significantly between institutions and geographic areas, comparison of absolute numbers, such as mortality rates, is inappropriate for cost-benefit analysis and comparison of results between institutions.1,2

Therefore, various risk stratification models have been developed to correct for differences between populations and to allow comparison of actual outcome with predicted outcome.3 Those models are increasingly used to investigate patient outcomes in relation to pre-operative patient and disease characteristics. Such models estimate coefficients for each risk factor of mortality, which are translated to risk scores. Then, the scores assigned to each risk factor are added to calculate the overall risk score of mortality for a patient and to construct clinical risk groups. Reference to these groups . . . [Full Text of this Article]

Prediction of operative mortality

Prediction of 1-year mortality
Limitations

Conclusions


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Related articles in EHJ:

Comparison of 19 pre-operative risk stratification models in open-heart surgery
Johan Nilsson, Lars Algotsson, Peter Höglund, Carsten Lührs, and Johan Brandt
EHJ 2006 27: 867-874. [Abstract] [FREE Full Text]  



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