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 EventsNR
Follow-Up DurationLong (>6 months)
AUROCNR
Calibration Reported1
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 (umol/l); NYHA class; Male; Current smoker; Diabetic; Diagnosis of COPD; First diagnosis of heart failure in the past 18 months; Not on beta blocker; Not on ACEI/ARB
Mesh TermsTo be updated
Number of Validations0

External Validations