2012
DOI: 10.1093/eurheartj/ehs337
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Predicting survival in heart failure: a risk score based on 39 372 patients from 30 studies

Abstract: In patients with HF of both reduced and preserved EF, the influences of readily available predictors of mortality can be quantified in an integer score accessible by an easy-to-use website www.heartfailurerisk.org. The score has the potential for widespread implementation in a clinical setting.

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Cited by 978 publications
(873 citation statements)
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“…We found that despite different inclusion/exclusion criteria for the 2 studies, patients enrolled in the PARADIGM‐HF trial had similar baseline characteristics to those enrolled in the CHAMP‐HF registry. They also had similar projected risk of all‐cause mortality, as assessed by the MAGGIC risk score, where a score of 20 (PARADIGM‐HF) is associated with a 1‐year risk of death of 10.2% and a score of 22 (CHAMP‐HF) is associated with a 1‐year risk of death of 12.2% 7. These findings suggest that the population of patients with HFrEF enrolled in the PARADIGM‐HF trial largely reflects patients with HFrEF encountered in outpatient clinical practice.…”
Section: Discussionmentioning
confidence: 85%
See 1 more Smart Citation
“…We found that despite different inclusion/exclusion criteria for the 2 studies, patients enrolled in the PARADIGM‐HF trial had similar baseline characteristics to those enrolled in the CHAMP‐HF registry. They also had similar projected risk of all‐cause mortality, as assessed by the MAGGIC risk score, where a score of 20 (PARADIGM‐HF) is associated with a 1‐year risk of death of 10.2% and a score of 22 (CHAMP‐HF) is associated with a 1‐year risk of death of 12.2% 7. These findings suggest that the population of patients with HFrEF enrolled in the PARADIGM‐HF trial largely reflects patients with HFrEF encountered in outpatient clinical practice.…”
Section: Discussionmentioning
confidence: 85%
“…The Meta‐Analysis Global Group in Chronic Heart Failure (MAGGIC) risk score for mortality in HF was reported as a median with an interquartile range 7. Variables required for calculation of the MAGGIC risk score include age, sex, body mass index, current smoker, SBP, diabetes mellitus, NYHA class, LVEF, chronic obstructive pulmonary disease, HF duration, serum creatinine, and medication use.…”
Section: Methodsmentioning
confidence: 99%
“…8 This is the generalizable easily used integer risk score for mortality in patients with heart failure, including 13 independent predictors: age, LVEF, New York Heart Association (NYHA) class, serum creatinine, diabetes mellitus, β‐blocker, systolic blood pressure, body mass index, time since diagnosis, current smoker, chronic obstructive pulmonary disease, male gender, and ACE inhibitor or ARB.…”
Section: Methodsmentioning
confidence: 99%
“…Event‐free survival curves were constructed using the Kaplan–Meier method, and the statistical significance of differences between curves was assessed using the log‐rank test. Cox proportional hazard analysis was performed with 22 clinical variables that are generally recognized parameters influencing heart failure prognosis [age, body mass index, current smoker, NYHA class III or IV, duration of heart failure, heart rate, systolic blood pressure, diabetes mellitus, implantable cardioverter defibrillator (ICD) or biventricular ICD, logBNP, haemoglobin, estimated glomerular filtration rate, β‐blocker at discharge, ACE inhibitor or ARB at discharge, aldosterone inhibitor at discharge, loop diuretic at discharge, LVEDDI, LVEF, mitral regurgitation, restrictive filling pattern, heart failure risk score, fibrosis area] and TNC area, and variables achieving P  < 0.05 on univariable analysis were then tested in multivariable Cox analysis to determine which ones were significantly associated with death 8. Univariable linear regression analysis for TNC area was performed using all variables in the baseline characteristics, and then multivariable linear regression analysis was performed using the variables achieving P  < 0.05 on univariable linear regression analysis to determine the factors associated with TNC area.…”
Section: Methodsmentioning
confidence: 99%
“…Recently, several risk stratification scores using various parameters have been reported for the prediction of all‐cause mortality, sudden cardiac death, and cardiovascular events in patients with HF 9, 10, 11, 12, 13, 14, 15, 16. For example, the AHEAD (atrial fibrillation, hemoglobin, elderly, abnormal renal parameters, diabetes mellitus) score was established for long‐term risk prediction in acute HF 15.…”
Section: Introductionmentioning
confidence: 99%