Society of Thoracic Surgeons 2008 cardiaal chirurgisch risicomodel CABG: Mo - Evidencio
Society of Thoracic Surgeons 2008 cardiaal chirurgisch risicomodel CABG: Mortaliteit
Het huidige model is onderdeel van de 2008 cardiac surgery risk models en is ontwikkeld door de Society of Thoracic Surgeons (STS). Dit model is specifiek ontwikkeld voor patiënten die een Coronary Artery Bypass Graft operatie ondergaan. 

Huidig model berekent het risico dat de patiënt tijdens dezelfde ziekenhuisopname als de operatie overlijdt, of binnen 30 dagen na de operatie overlijdt. 

Overige uitkomsten van de STS risicomodellen omvatten het risico op: hersenbloeding (CVA), nierfalen, verlengde post-operatieve beademing, wondinfectie, reoperatie, ernstige morbiditeit of mortaliteit, verlengde ziekenhuisopname, korte ziekenhuisopname. 

Alle modellen zijn in een composiet model in één keer te berekenen. Composiet model vindt u door op deze link te klikken:
Research authors: David M. Shahian, Sean M. O'Brien, Giovanni Filardo, Victor A. Ferraris, Constance K. Haan, Jeffrey B. Rich, Sharon-Lise T. Normand, Elizabeth R. DeLong, Cynthia M. Shewan, Rachel S. Dokholyan, Eric D. Peterson, Fred H. Edwards, Richard P. Anderson
Version: 1.29
  • Public
  • Cardiology
  • {{ modelType }}
  • Details
  • Validate algorithm
  • Save input
  • Load input
Display
Units

{{section.title}}

Calculate the result

Set more parameters to perform the calculation

Berekende mortaliteitsrisico is:

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

Conditional information

Berekende mortaliteitsrisico omvat het risico dat de patiënt tijdens dezelfde ziekenhuisopname als de operatie overlijdt, of binnen 30 dagen na de operatie overlijdt. 

{{ 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.
Evidencio v3.36 © 2015 - 2025 Evidencio. All Rights Reserved