A multi-state model to predict heart failure hospitalizations and all-cause mortality in outpatients with heart failure with reduced ejection fraction: model derivation and internal validation.

Upshaw, Jenica.

Abstract: Among outpatients with heart failure (HF), early identification of those at high risk for HF hospitalization and/or death may help direct disease management services or advanced HF therapies. Currently, however, there are no models in this population to predict both heart failure hospitalization and all-cause mortality as individual outcomes as well as a composite outcome. Thus, we devel... read more

Sackler School of Graduate Biomedical Sciences. Department of Clinical and Translational Science.
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ID: tufts:20604
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