ELAN-HF Score - Evidencio
ELAN-HF Score

The ELAN-HF is a linear model that predicts 180-day all-cause mortality after discharge in patients hospitalised for Acute Decompensated Heart Failure (ADHF), using demographics, clinical parameters, sodium, serum urea, and NT-proBNP measurement, including reduction in NT-proBNP.

Research authors: Khibar Salah, Wouter E Kok, Luc W Eurlings, Paulo Bettencourt, Joana M Pimenta, Marco Metra, Antoni Bayes-Genis, Valerio Verdiani, Luca Bettari, Valentina Lazzarini, Peter Damman, Jan G Tijssen, Yigal M Pinto
Version: 2.0
  • Public
  • Cardiology
  • {{ modelType }}
V-2.0-9969.25.10.01
(01)08720938015304(8012)v2.0(4326)251001(240)9969
Download the User manual and consult the Intended purpose.
Units

{{ section.title }}

{{ section.description }}

Calculate the result

Set more parameters to perform the calculation

The result of the ELAN-HF Score is points.

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

Conditional information

The ELAN-HF Score is used to estimate 180-day all-cause mortality post-discharge. It was developed by Salah et al. in 2013, and externally validated by Salah et al. in 2019.

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

Calculations alone should never dictate patient care, and are no substitute for professional judgement. See our full disclaimer.

Underlying algorithms Part of
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 v3.38 © 2015 - 2025 Evidencio. All Rights Reserved