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From Statistical Significance to Clinical Relevance: A Simple Algorithm to Integrate BNP and the Seattle Heart Failure Model for Risk Stratification in Heart Failure
BACKGROUND: Heart failure (HF) guidelines recommend brain natriuretic peptide (BNP) and multivariable risk-scores such as the Seattle HF Model (SHFM) to predict risk in HF with reduced ejection fraction (HFrEF). A practical way to integrate information from these two prognostic tools is lacking. We...
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出版年: | J Heart Lung Transplant |
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主要な著者: | , , , , , , , , |
フォーマット: | Artigo |
言語: | Inglês |
出版事項: |
2016
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主題: | |
オンライン・アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4917454/ https://ncbi.nlm.nih.gov/pubmed/27021278 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.healun.2016.01.016 |
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