CHARGE-AF Risk Calculator – Atrial Fibrillation Prediction

Clinical calculation support · Verify results before clinical use

5-Year Atrial Fibrillation Risk

Enter baseline clinical characteristics for an adult without previously diagnosed atrial fibrillation.

Original CHARGE-AF

Demographic characteristics

Original derivation cohort: 46–94 years.
The original model assigns 1 to White and 0 to non-White. The derivation cohorts do not establish calibration for every ethnic group.

Blood pressure

Clinical risk factors

Current smoker
Antihypertensive medication use
Diabetes mellitus
Heart failure
History of myocardial infarction
—5-year risk
Estimated incident atrial fibrillation risk
—
Model-estimated probability of developing atrial fibrillation within five years.
Interpretation

This is a model-derived estimate, not a diagnosis or an independently validated treatment threshold.

About the CHARGE-AF Model

The Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE-AF) model estimates the 5-year risk of new-onset atrial fibrillation in individuals without previously diagnosed AF. The original simple model uses routinely available demographic and clinical variables.

Model calculation

Risk = 1 − 0.9718412736 ^ exp(S − 12.5815600)
S = sum of the weighted predictors listed in the original model.

Model predictors

  • Age, race, height, and weight.
  • Systolic and diastolic blood pressure.
  • Current smoking and antihypertensive medication use.
  • Diabetes mellitus, heart failure, and prior myocardial infarction.

Population and performance

The derivation pooled 18,556 participants aged 46–94 years from ARIC, CHS, and the Framingham Heart Study. External validation included 7,672 participants from AGES-Reykjavik and the Rotterdam Study. The simple model's derivation C-statistic was 0.765; discrimination in the external cohorts was lower (0.664 and 0.705, respectively).

Important Limitations

  • Use only for individuals without previously diagnosed AF.
  • The original derivation population was aged 46–94 years. Estimates outside this age range are extrapolations.
  • The race term was derived in cohorts that were predominantly White, with African-American participants also represented. Calibration in Asian and other populations is uncertain.
  • External validation has shown that discrimination and calibration can vary by population and setting.
  • The model estimates risk; it does not diagnose AF, determine an indication for anticoagulation, or establish a screening or treatment threshold.

References

Alonso A, Krijthe BP, Aspelund T, et al. Simple Risk Model Predicts Incidence of Atrial Fibrillation in a Racially and Geographically Diverse Population: the CHARGE-AF Consortium. Journal of the American Heart Association. 2013;2(2):e000102. DOI: 10.1161/JAHA.112.000102.
Himmelreich JCL, Lucassen WAM, Harskamp RE, et al. CHARGE-AF in a national routine primary care electronic health records database in the Netherlands: validation for 5-year risk of atrial fibrillation and implications for patient selection in atrial fibrillation screening. Open Heart. 2021;8:e001459. DOI: 10.1136/openhrt-2020-001459.
Alonso A, et al. Original CHARGE-AF derivation and external validation study. Full text and model coefficients: PubMed Central.
Clinical disclaimer: This calculator is intended for educational and clinical risk-estimation support. It must not be used as the sole basis for diagnosis, AF screening decisions, anticoagulation, or other treatment. Interpret the estimate in the context of the individual's clinical profile and the population in which the model is being applied.