ASCVD Risk estimator

Evidencio uses JavaScript for many of its features. Please enable JavaScript to enable calculations

The current tool is used to estimate the 10-year Atherosclerotic Cardiovascular Disease (ASCVD) risk.

The ASCVD Risk Estimator is intended for patients without a prior atherosclerotic cardiovascular event or disease, between 40 and 79 years of age.

Contra-indications
The ASCVD Risk Estimator is not intended for patients who have already had an atherosclerotic cardiovascular event or disease. Further contra-indications may be found during the clinical evaluation.

Research authors: David C. Goff Jr., Donald M. Lloyd-Jones, Glen Bennett, Sean Coady, Ralph B. D'Agostino, Raymond Gibbons, Philip Greenland, Daniel T. Lackland, Daniel Levy, Christopher J. O'Donnell, Jennifer G. Robinson, J. Sanford Schwartz, Susan T. Shero, Sidney C. Smith Jr., Paul Sorlie, Neil J. Stone, Peter W.F. Wilson

Version: 1.22

Public
Cardiology
{{ modelType }}

V-1.22-2903.24.05.31

(01)08719327522783(8012)v1.22(4326)240531(240)2903

Download the User manual and consult the Intended purpose.

Details
Intended purpose
Electronic label
Release Notes
User manual
Languages

Units

Calculate the result

This model does not calculate automatically.
Please provide all the needed parameters and press calculate.

Set more parameters to perform the calculation

10-year ASCVD Risk is:

Set more parameters to perform the calculation

10-year ASCVD Risk is: %

Result interval {{ additionalResult.min }} to {{ additionalResult.max }}

Conditional information

The result of the ASCVD Risk Estimator can be used to inform a dialogue between a physician and their patient about their risk of cardiovascular disease, and guide discussions surrounding risk-reducing interventions, such as life-style intervention or preventative medication.

The ASCVD Risk Estimator was originally derived in a US cohort of patients, and may overestimate or underestimate risks in other populations. However, its discriminative ability remains good (AUROC: 0.75 (95% CI: 0.74, 0.77))

When deciding upon the use of preventative medications such as statins, it is recommended to use not just the 10-year ASCVD Risk, but also look at the individual risk factors for a patient. Precise risk categories depend and vary based upon the target population and the local guidance organisation, but risks above 10% are generally considered high, and risks above 20% very high.

PRO

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 models Part of

Additional information

Details

Model author

T. A. Hueting

Model ID

10440

Version

1.22

Revision date

2024-05-31

Specialty

Cardiology , General practice

Model type

R-Script model ^{(Calculation)}

MeSH terms

No MeSH classifications added

Status

Public

Formula
No Formula defined yet

Condition	Formula

Study characteristics

Additional information

A total of 11 240 white women (who experienced 902 hard ASCVD events), 9098 white men (1259 hard ASCVD events), 2641 African-American women (290 hard ASCVD events), and 1647 African-American men (238 hard ASCVD events) who met the following criteria were included: 40 to 79 years of age, apparently healthy, and free of a previous history of nonfatal myocardial infarction (recognized or unrecognized), stroke, heart failure, percutaneous coronary intervention, coronary artery bypass surgery, or atrial fibrillation. Data from the included participants were used to develop sex- and race-specific equations to predict 10-year risk of a first hard ASCVD event.

Study Population

Total population size: 24626

Males: {{ model.numberOfMales }}

Females: {{ model.numberOfFemales }}

Categorical characteristics

Name	Subset / Group	Nr. of patients
Population	White woman	11240
Population	White men	9098
Population	African-American woman	2641
Population	African-American men	1647

Supporting Publications

Title or description

Related files

No related files available

Extra Information

	Evidencio B.V., Irenesingel 19, 7481 GJ Haaksbergen, The Netherlands
	V-1.22-2903.24.05.31
	(01)08719327522783(8012)v1.22(4326)240531(240)2903
	Decomplix AG, Freiburgstrasse 3, 3010 Bern, Switzerland
	Download the User manual
	Medical device

Download the Declaration of conformity

This model has been certified as a medical device

V-1.22-2903.24.05.31

Medical Devices

Evidencio offers CE-certified MDSWs (Medical Device Software) of both widely adopted and new ground breaking algorithms. Evidencio provides an easy, sustainable and scalable way to be compliant in your use of algorithms and AI for clinical decision support, shared decision making, patient monitoring, etc.

The model ASCVD Risk estimator has been certified as a medical device and is only available to qualified Evidencio subscribers.

In general, the prediction models and algorithms that are freely available on Evidencio are intended for research and education purposes only.

Some of the medical prediction models and algorithms that are available on Evidencio are classified as (e.g. CE) Medical Devices.
This implies that these models may be used for clinical decision making by medical professionals, as long as this use strictly adheres to the model’s Intended Purpose statements.

{{ collapsed.intendedUse ? $t('show_intended_use') : $t('hide_intended_use') }}

In order for Evidencio to comply with legislation regarding the use of medical devices, we must monitor use of these medical devices to the greatest extent to prevent mis-use. Therefore, the Medical Devices on Evidencio can only be used by named Evidencio Subscribers.

To access this model you will need an Evidencio Pro Subscription

Visit our library for more prediction models

Already have an account? Log in Go back Sign Up

This is a paid model

The model ASCVD Risk estimator is only available for users that are subscribed to it.

Visit our library for more prediction models

Evidencio Pro

€9,99 / Month

This functionality is reserved for Pro subscribers.
Please support us by registering as Evidencio Pro.

Clinical & Commercial use licence

Create licenced models

Unlimited Patient specific reports

Create direct access for peer reviewers.

Use licensed models

Cancel at any time

For a complete list of all the benefits, see Use & Licensing

Looking to manage Teams Or EHR integration? Get in touch with our team.

Signup for Pro subscription

Select the version you want to duplicate Are you sure you want to duplicate this model?

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.

Login

Sign Up

{{section.title}}

Calculate the result

10-year ASCVD Risk is: %

Conditional information

Details

Study characteristics

Additional information

Study Population

Categorical characteristics

Supporting Publications

Related files

This model has been certified as a medical device

This is a paid model

Select the version you want to duplicate Are you sure you want to duplicate this model?

Please sign in to enable Evidencio print features

Printed results - Examples {{ new Date().toLocaleString() }}

Evidencio Community Account Benefits

{{ variable.title }}