Literature DB >> 16679260

Validation of a risk score for dying within 1 year of an admission for heart failure.

Thomas S Rector1, Sumit N Ringwala, Sudip N Ringwala, Inder S Anand.   

Abstract

BACKGROUND: Development of heart failure greatly reduces life expectancy. Accurate estimates of the risk of dying are needed in clinical practice and for risk adjustment in observational studies. A relatively simple risk score has been developed to determine the risk of dying within 1-year of an admission for heart failure. We wanted to evaluate the risk score's predictive validity. METHODS AND
RESULTS: Data were abstracted from the electronic medical records of 769 patients admitted to the Minneapolis Veterans Administration medical center with a primary diagnosis of heart failure. Mortality within 1 year of admission was 25%. The c-index for the risk score was 0.71 (95% confidence interval 0.67-0.76). Similar to the original derivation cohort, mortality in risk score groups was 7% for a score lower than 60 (n = 44), 14% for 61 to 90 (n = 246), 26% for 91 to 120 (n = 222), 51% for 121 to 150 (n = 106), and 50% for scores greater than 150 (n = 8).
CONCLUSION: A previously developed risk score for 1-year mortality after an admission for heart failure provided a moderate degree of discrimination in a validation cohort from a different setting. Mortality in risk score groups was consistent with the original patient cohort. These results support the validity of the risk score and its application to a different patient population.

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Year:  2006        PMID: 16679260     DOI: 10.1016/j.cardfail.2006.02.004

Source DB:  PubMed          Journal:  J Card Fail        ISSN: 1071-9164            Impact factor:   5.712


  5 in total

Review 1.  Predicting survival in heart failure.

Authors:  Viorel G Florea; Inder S Anand
Journal:  Curr Cardiol Rep       Date:  2007-05       Impact factor: 2.931

Review 2.  Prediction of mortality in patients with heart failure and systolic dysfunction.

Authors:  Wayne C Levy; David T Linker
Journal:  Curr Cardiol Rep       Date:  2008-05       Impact factor: 2.931

Review 3.  Heart failure and chronic obstructive pulmonary disease: diagnostic pitfalls and epidemiology.

Authors:  Nathaniel Mark Hawkins; Mark C Petrie; Pardeep S Jhund; George W Chalmers; Francis G Dunn; John J V McMurray
Journal:  Eur J Heart Fail       Date:  2009-02       Impact factor: 15.534

4.  Prediction of emergent heart failure death by semi-quantitative triage risk stratification.

Authors:  Harriette G C Van Spall; Clare Atzema; Michael J Schull; Gary E Newton; Susanna Mak; Alice Chong; Jack V Tu; Thérèse A Stukel; Douglas S Lee
Journal:  PLoS One       Date:  2011-08-10       Impact factor: 3.240

Review 5.  Comparison among different multiparametric scores for risk stratification in heart failure patients with reduced ejection fraction.

Authors:  Ugo Corrà; Alessandra Magini; Stefania Paolillo; Maria Frigerio
Journal:  Eur J Prev Cardiol       Date:  2020-12       Impact factor: 7.804

  5 in total

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