ASCVD Risk estimator

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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
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V-1.22-2903.24.05.31

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

Download the User manual for Medical device prediction models and consult the Intended purpose.

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Electronic label
Release Notes
User manual
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10-year ASCVD Risk is:

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10-year ASCVD Risk is: %

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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.

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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

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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 for Medical device prediction models
	Medical device

Download the Declaration of conformity

This model has been certified as a medical device

V-1.22-2903.24.05.31

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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

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