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Article10.1161/circ.124.suppl_21.a17913

Abstract 17913: Linear Relationship Between Seattle Heart Failure Model Predicted Mortality and Hospitalizations in Patients with Chronic Heart Failure

Alec J. Moorman,Piotr Ponikowski,Stefan D. Anker,Guillermo Torre‐Amione,James B. Young,Wayne C. Levy-2011-11-22-Circulation
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TL;DRAbstract

Background Acute heart failure (HF) is a common and costly reason for hospitalization worldwide. We assessed the relationship between Seattle Heart Failure Model-D (SHFM-D) predicted mortality, total hospital days per year and discrete hospitalizations per year using data from the international Advanced Chronic Heart Failure Clinical Assessment of Immune Modulation Therapy (ACCLAIM) trial. We hypothesized a linear relationship between SHFM-D predicted mortality and annual hospitalizations and days hospitalized. Methods and Results 2407 chronic HF subjects with a total of 1023 all-cause hospitalizations and 430 HF hospitalizations were grouped by SHFM-D score. There was a linear relationship between SHFM-D estimated mortality and all-cause and HF hospitalizations per year, and all-cause and HF hospital days per year. For each 10% increase in SHFM-D predicted mortality, there were approximately 8 additional all-cause hospital days per year and 5 additional HF hospital days per year (Figu

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Background Acute heart failure (HF) is a common and costly reason for hospitalization worldwide. We assessed the relationship between Seattle Heart Failure Model-D (SHFM-D) predicted mortality, total hospital days per year and discrete hospitalizations per year using data from the international Advanced Chronic Heart Failure Clinical Assessment of Immune Modulation Therapy (ACCLAIM) trial. We hypothesized a linear relationship between SHFM-D predicted mortality and annual hospitalizations and days hospitalized. Methods and Results 2407 chronic HF subjects with a total of 1023 all-cause hospitalizations and 430 HF hospitalizations were grouped by SHFM-D score. There was a linear relationship between SHFM-D estimated mortality and all-cause and HF hospitalizations per year, and all-cause and HF hospital days per year. For each 10% increase in SHFM-D predicted mortality, there were approximately 8 additional all-cause hospital days per year and 5 additional HF hospital days per year (Figu

Keywords

MedicineHeart failureInternal medicineCardiology

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