The Child-Pugh Score
The Child-Pugh score was originally developed in 1973. It was then developed to predict mortality during surgery, but is nowadays often used to determine prognosis in patients suffering from chronic liver disease (mostly cirrhosis).

The Child-Pugh score is also known as the Child-Turcotte-Pugh score or the Child score. 

Instructions:
Enter the patients' clinical characteristics below to calculate the Child-Pugh score. If the continuous values (i.e. bilirubin, albumin & INR) of the patients are higher or lower than the minimum/maximum allowed value to enter, please enter the maximum or the minimum of the slider. It does not influence the score any further. 
Research authors: R.N.H. Pugh, I.M. Murray-Lyon, J.L. Dawson, M.C. Pietroni, Roger Williams
Version: 1.6
  • Details
  • Validate model
  • Save input
  • Load input

Calculate the result

Set more parameters to perform the calculation

The Child-Pugh score: Points

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

Conditional information

Child-Pugh Class A: Life expectancy 15-20 years. Abdominal surgery peri-operative mortality 10%.
Child-Pugh Class B: Indiction for transplant evaluation. Abdominal surgery peri-operative mortality 30%.  
Child-Pugh Class C Life expectancy 1-3 years, abdominal surgery peri-operative mortality 82%.

{{ 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 v3.26 © 2015 - 2024 Evidencio. All Rights Reserved