EuroSCORE II model - Evidencio
EuroSCORE II model
Calculates the predicted operative mortality for patients undergoing cardiac surgery (c-index: 0.81). The EuroSCORE II model is an improved version of the previously published EuroSCORE I additive model (1999) and the EuroSCORE I logistic model (2003).  
Research authors: Nashef SA, Roques F, Sharples LD, Nilsson J, Smith C, Goldstone AR, Lockowandt U.
Version: 1.18
  • Public
  • Cardiology
  • {{ modelType }}
  • Details
  • Validate algorithm
  • Save input
  • Load input
Display
Units

{{ section.title }}

{{ section.description }}

Calculate the result

Set more parameters to perform the calculation

Predicted mortality following cardiac surgery:

{{ resultSubheader }}
{{ $t('download_result_availability') }}
{{ chart.title }}
Result interval {{ additionalResult.min }} to {{ additionalResult.max }}

Conditional information

The EuroSCORE II model was published in 2012 by Nashef et al and has been validated by the EuroSCORE Project Group as well as users worldwide.1 Previous versions of the EuroSCORE model were the additive EuroSCORE I model2 published by Roques et al in 1999 and the logistic EuroSCORE I model3 published by the same group in 2003. 

In the EuroSCORE II study by Nashef et al (2012), risk-adjusted mortality ratio (RAMR = observed/predicted) for the previous EuroSCORE I additive model was 0.67 and for the previous logistic model 0.53. This suggests that the original EuroSCORE I is now no longer appropriately calibrated, although both the old logistic and additive EuroSCORE I models were found to retain good discrimination.1 

Model performance: 
Calibration of the EuroSCORE II model was tested by applying the final model to the validation data set which contained 5553 patients of whom 232 died in hospital (4.18%). The model-predicted mortality for this data set is 3.95% (slight underprediction). The area under the ROC curve (discriminative power) was 0.81 (95% CI: 0.78–0.83), indicating good discrimination and a trend towards slightly but not significantly better discrimination than the older models.1 


Sources:
1Nashef S, Roques F, Sharples L et al. EuroSCORE II. Eur J Cardiothorac Surg. 2012;41(4): 734-45. 
2Roques F, Nashef SA, Michel P, et al. Risk factors and outcome in European cardiac surgery. Eur J Cardiothorac Surg (1999) 15(6): 816-23.
3Roques F, Michel P, Goldstone AR, Nashef SA. The logistic EuroSCORE. Eur Heart J. 2003 May;24(9):882-3

{{ file.classification }}
PRO
Note
Notes are only visible in the result download and will not be saved by Evidencio

This algorithm is provided for educational, training and information purposes. It must not be used to support medical decision making, or to provide medical or diagnostic services. Read our full disclaimer.

Underlying algorithms Part of
Comments
Comment
Please enter a comment
Comments are visible to anyone

Algorithm feedback

No feedback yet 1 Comment {{ model.comments.length }} Comments
On {{ comment.created_at }} {{ comment.user.username }} a no longer registered author wrote:
{{ comment.content }}
logo

Please sign in to enable Evidencio print features

In order to use the Evidencio print features, you need to be logged in.
If you don't have an Evidencio Community Account you can create your free personal account at:

https://www.evidencio.com/registration

Printed results - Examples {{ new Date().toLocaleString() }}

Evidencio Community Account Benefits

With an Evidencio Community account you can:

  • Create and publish your own prediction algorithms.
  • Share your prediction algorithms with your colleagues, research group, organization or the world.
  • Review and provide feedback on algorithms that have been shared with you.
  • Validate your algorithms and validate algorithms from other users.
  • Find algorithms based on Title, Keyword, Author, Institute, or MeSH classification.
  • Use and save prediction algorithms and their data.
  • Use patient specific protocols and guidelines based on sequential algorithms and decision trees.
  • Stay up-to-date with new algorithms in your field as they are published.
  • Create your own lists of favorite algorithms and topics.

A personal Evidencio account is free, with no strings attached!
Join us and help create clarity, transparency, and efficiency in the creation, validation, and use of medical prediction algorithms.

Disclaimer: Calculations alone should never dictate patient care, and are no substitute for professional judgement.
Terms & Conditions | Privacy Policy | Disclaimer | Contact | Refuse cookies |
Evidencio v3.38 © 2015 - 2025 Evidencio. All Rights Reserved