ACP risk grade: a simple mortality index for patients with confirmed or suspected COVID-19
ACP risk grade: a simple mortality index for patients with confirmed or suspected severe acute respiratory syndrome coronavirus 2 disease (COVID-19) during the early stage of outbreak in Wuhan, China.
Research authors: Lu J, Hu S, Fan R, Liu Z, Yin X, Wang Q, Lv Q, Cai Z, Li H, Hu Y, Han Y, Hu H, Gao W, Feng S, Liu Q, Li H, Sun J, Peng J, Yi X, Zhou Z, Guo Y, Hou J.
Version: 1.18
  • Public
  • Intensive care
  • {{ modelType }}
  • Details
  • Validate model
  • Save input
  • Load input

Calculate the result

Set more parameters to perform the calculation

Predicted probability of 12-day COVID-19 mortality: %

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

Conditional information

Intended use: 
The ACP index provides an efficient, feasible and accessible approach to establish a hierarchical management system of COVID-19 in the SARS-CoV-2 highly endemic areas where medical resources are extremely limited. It is projected that this approach would benefit a considerable number of patients with COVID-19 by directing the medical resources appropriate for the severity of the disease, and thus reduce the mortality and save the socioeconomic resources.

Background information:
By multivariate cox regression analysis (with back selection), it is found that only patients’ age (hazard ratio [HR], 7.0; 95% CI, 2.1 - 23.5; P =0.002) and elevated CRP (HR, 13.5; 95% CI, 3.1 - 58.0; P <0.001) were independently significant in predicting the 12-day mortality risk. Based upon this observation, ACP index named after the Age and C-reactive Protein was developed to stratify the mortality risk of patients with COVID-19.

Source: 
Lu J, Uh S, Fan R, Liu Z, Yin x et al. ACP risk grade: a simple mortality index for patients with confirmed or suspected severe acute respiratory syndrome coronavirus 2 disease (COVID-19) during the early stage of outbreak in Wuhan, China (Preprint). 
 

{{ 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.
Terms & Conditions | Privacy Policy | Disclaimer | Contact | Refuse cookies |
Evidencio v3.25 © 2015 - 2024 Evidencio. All Rights Reserved