SAVE score: Survival After veno-arterial extracorporeal membrane oxygenation (ECMO)
Using a large international cohort of 3846 patients treated with extracorporeal membrane oxygenation ECMO for cardiogenic shock, prognostic factors were identified for hospital survival and a well calibrated and discriminatory survival prediction score was created comprising 13 pre-ECMO variables (the survival after veno-arterial-ECMO (SAVE)-score). It is the first validated international predictive mortality model based on a large population of acute refractory cardiogenic shock patients requiring ECMO. Based on these findings, the SAVE-score offers a validated tool to predict survival for patients receiving ECMO for refractory cardiogenic shock.
Research authors: Matthieu Schmidt, Aidan Burrell, Lloyd Roberts, Michael Bailey, Jayne Sheldrake, Peter T. Rycus, Carol Hodgson, Carlos Schneikestel, D. Jamie Cooper, Ravi R. Thiagarajan, Daniel Brodie, Vincent Pellegrino, David Pilcher
Version: 1.10
  • Details
  • Validate model
  • Save input
  • Load input

Calculate the result

Set more parameters to perform the calculation

The calculated SAVE score is: Points

{{ resultSubheader }}
{{ chart.title }}
Result interval {{ additionalResult.min }} to {{ additionalResult.max }}

Conditional information

The SAVE score identifies five risk classes: 

  • Class I (Save score: ≥ 5). Survival rate 75%
  • Class II (Save score: 1 to 4). Survival rate 58%
  • Class III (Save score: -4 to 0). Survival rate 42%
  • Class IV (Save score: -9 to -5). Survival rate 30%
  • Class V (Save score: ≤ -10). Survival rate 18%

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

This model 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 models Part of
Comments
Comment
Please enter a comment
Comments are visible to anyone

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


Disclaimer: Calculations alone should never dictate patient care, and are no substitute for professional judgement.
Evidencio v3.25 © 2015 - 2024 Evidencio. All Rights Reserved