Creatinine clearance based on 24-hour urine collection
Calculates the creatinine clearance in ml/min as a measure of renal function. To use this model, both the serum creatinine and the amount of creatinine in the 24-hour urine sample has to be known. 
Research authors: None
Version: 1.2
  • Public
  • Internal medicine
  • {{ modelType }}
  • Details
  • Validate model
  • Save input
  • Load input

Calculate the result

Set more parameters to perform the calculation

Calculated creatinine clearance ml/min

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

Conditional information

Background: 
Creatinine clearance can be used as an estimate for the glomerular filtration rate (GFR).1 Creatinine is produced by the body at a fairly constant rate, depending on the amount of muscle mass present. It is mainly filtered passively in the kidney, but a small amount is actively secrated. 

Evaluation
Creatinine clearance is often estimated based on the serum creatinine in the blood or in 24-hour urine. Shorter periods of collection are possible, but often lead to less acurate results. This may be partly explained by the fact that shorter periods of collection result in a relatively high percentage of urine remaining in the bladder compared to the total volume of collected urine. Also, the secration of creatinine varies during the day.2 

Reference values: 
The creatinine clearance in healthy adults is 80-120 ml/min.

Sources: 

  1. Doolan PD, Alpen EL, Theil GB. A clinical appraisal of the plasma concentration and endogenous clearance of creatinine. Am J Med 1962; 32:65.
  2. Perrone RD, Madias NE, Levey AS. Serum creatinine as an index of renal function: new insights into old concepts. Clin Chem 1992; 38:1933.

{{ 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 v3.24 © 2015 - 2024 Evidencio. All Rights Reserved