SOLO/Flx questionnaire prototype
Atrial Fibrillation Risk Questionnaire
This app reports only a HIGH or LOW risk comment. It does not display a percentage chance, numerical risk estimate, or risk score.
Created report
Atrial Fibrillation Risk Questionnaire Report
Positive “Yes” responses
Body mass index
Blood pressure analysis
Sources
- Segan L, et al. European Heart Journal. 2023;44:3443–3452. doi:10.1093/eurheartj/ehad375.
- Alonso A, et al. Journal of the American Heart Association. 2013;2:e000102. doi:10.1161/JAHA.112.000102.
- Whelton PK, et al. 2017 ACC/AHA blood-pressure guideline. J Am Coll Cardiol. 2018;71:e127–e248. doi:10.1016/j.jacc.2017.11.006.
- World Health Organization. Obesity: Preventing and Managing the Global Epidemic. WHO Technical Report Series 894; 2000.
- Evans WJ, et al. Cachexia: a new definition. Clinical Nutrition. 2008;27:793–799. doi:10.1016/j.clnu.2008.06.013.
Method and sources
The AF calculation remains hidden; the report adds BMI and blood-pressure interpretation.
How the High/Low label is assigned
A “Yes” response indicating prior diagnosis of AF, current AF, or treatment for AF produces a High AF pre-test probability comment.
For people without prior/current/treated AF, the label follows the published HARMS₂‑AF framework: hypertension, age, BMI, male sex, sleep apnea, smoking, and alcohol are combined internally. The published high-risk threshold is used, but the app does not show the score or a percentage.
Positive Yes responses appear in the report. BMI is calculated from entered height and weight; obesity is defined at BMI ≥30 kg/m² for the HARMS₂‑AF framework. The report also describes normal weight, overweight/not obese, and a low-BMI range that may warrant assessment for cachexia. Blood pressure is categorized using standard adult ACC/AHA ranges; a single reading is not treated as a diagnosis. Ethnicity, belt size, and exercise remain in the questionnaire because they were requested, but they are not added to the report unless a validated calculation requires them.
Sources
- Segan L, Canovas R, Nanayakkara S, et al. New-onset atrial fibrillation prediction: the HARMS₂‑AF risk score. European Heart Journal. 2023;44(36):3443–3452. doi:10.1093/eurheartj/ehad375.
- 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:e000102. doi:10.1161/JAHA.112.000102.
- Schnabel RB, Sullivan LM, Levy D, et al. Development of a risk score for atrial fibrillation (Framingham Heart Study): a community-based cohort study. Lancet. 2009;373:739–745. doi:10.1016/S0140-6736(09)60443-8.
- Chamberlain AM, Agarwal SK, Folsom AR, et al. A clinical risk score for atrial fibrillation in a biracial prospective cohort (ARIC). American Journal of Cardiology. 2011;107:85–91. doi:10.1016/j.amjcard.2010.08.049.
- Whelton PK, Carey RM, Aronow WS, et al. 2017 ACC/AHA guideline for high blood pressure in adults. Journal of the American College of Cardiology. 2018;71:e127–e248. doi:10.1016/j.jacc.2017.11.006.
- World Health Organization. Obesity: Preventing and Managing the Global Epidemic. WHO Technical Report Series 894; 2000.
- Evans WJ, Morley JE, Argilés J, et al. Cachexia: a new definition. Clinical Nutrition. 2008;27:793–799. doi:10.1016/j.clnu.2008.06.013.
Prototype for patient education and pre-test risk classification. It does not diagnose atrial fibrillation or replace clinical evaluation.