Predicting survival in heart failure: a risk score based on 39 372 patients from 30 studies

Field Value
Model ID13-006-01
Model NameMeta Analyses Global Group in Chronic Heart Failure (MAGGIC) risk score - 1 Year
Pubmed ID23095984
First AuthorPocock
JournalEuropean Heart Journal
Year2013
TitlePredicting survival in heart failure: a risk score based on 39 372 patients from 30 studies
Primary Index ConditionChronic Heart Failure (CHF)
Secondary Index ConditionN/A
OutcomeMortality
Model Sample Size39372
Cohort Sample Size39372
Number of EventsNot reported
Follow-Up DurationLong (>6 months)
AUROCNot reported
Calibration Reported
CovariatesEjection fraction <20%, Ejection fraction 20-24%, Ejection fraction 25-29%, Ejection fraction 30-34%, Ejection fraction 35-39%, Ejection fraction >=40%, Age * ejection fraction, Systolic blood pressure (mmHg) * ejection fraction, BMI (kg/m^2), Creatinine
Mesh TermsTo be updated
Number of Validations0

External Validations