MAGGIC: heart failure mortality score
Adds the 13 MAGGIC factors and shows the heart failure mortality risk score.
When to use
Chronic heart failure where mortality risk is stratified with simple clinical variables.
Pearls and pitfalls
- Age and systolic pressure score differently by ejection fraction: below 30 percent, 30 to 39 percent and 40 percent or more.
- Creatinine enters in µmol/L in the original table; a value in mg/dL is converted before scoring.
- The first age band covers 55 years or less, and the table continues in five year bands up to 80 or more.
- Disease duration enters as more than 18 months, as in the Poisson model of the paper, not as a recent diagnosis.
- In the derivation cohort the median was 23 points and the range 0 to 52; absolute risk comes from the score curve, not from the total alone.
Fill in the fields to see the result.
Formula
Sum of the points for ejection fraction, age and systolic pressure by ejection fraction band, BMI, creatinine, NYHA, sex, smoking, diabetes, COPD, recent diagnosis, beta blocker and renin-angiotensin blockade.
Evidence
Score derived from 39,372 patients in 30 studies and converted from a Poisson model into an integer score.
References
- Pocock SJ, Ariti CA, McMurray JJV, et al. Predicting survival in heart failure: a risk score based on 39 372 patients from 30 studies. Eur Heart J. 2013;34(19):1404-1413. doi:10.1093/eurheartj/ehs337
Frequently asked questions
What is MAGGIC: heart failure mortality score?
Adds the 13 MAGGIC factors and shows the heart failure mortality risk score. Chronic heart failure where mortality risk is stratified with simple clinical variables.
How is the result calculated?
Sum of the points for ejection fraction, age and systolic pressure by ejection fraction band, BMI, creatinine, NYHA, sex, smoking, diabetes, COPD, recent diagnosis, beta blocker and renin-angiotensin blockade.
How should the result be interpreted?
Score derived from 39,372 patients in 30 studies and converted from a Poisson model into an integer score.
What are the sources?
Pocock SJ, Ariti CA, McMurray JJV, et al. Predicting survival in heart failure: a risk score based on 39 372 patients from 30 studies. Eur Heart J. 2013;34(19):1404-1413.