Abstract

Introduction: Multiple diagnostic HF classification have been used to identify heart failure (HF) events. Whether these classification criteria can be used for estimating prognosis is unknown. Research Question: This study compares multiple research-derived HF classification criteria for predicting mortality in the ARIC study cohort with validated hospitalized acute decompensated heart failure (ADHF) events. Methods: There were 1,954 ARIC cohort members with hospitalized HF events from 2005-2019, validated as ADHF by ARIC study classification/adjudication. These HF events were also classified as HF present/absent at the time of hospitalization by other HF classification criteria - Framingham, Modified Boston, NHANES, and Gothenburg. Hazard ratios (HRs) for all-cause mortality at 30 days, 1 year, and 5 years were calculated using logistic regression for all included HF classification criteria compared to ARIC, stratified by ejection fraction (EF), and adjusted for demographics and comorbidities. Results: For all ADHF events, Framingham, NHANES, and Gothenburg were prognostic for survival, but not modified Boston criteria (Table). ADHF patients who were also classified as HF by Framingham criteria had a 30% or more increased mortality at 30-day, 1-year, and 5-years regardless of EF, compared to those who were not classified as HF by Framingham (p<0.05). Framingham criteria were prognostic for 30-day survival for those with HFrEF, and also for 1-year and 5-year survival for those with HFpEF. Conclusion: The presence of HF as defined using different published criteria is associated with elevated risk of all-cause mortality. To our knowledge, this is a novel study comparing multiple research-derived HF classification criteria for clinical prognostication of mortality in ADHF. More studies are needed to assess the utility of these HF classification criteria for prognostication for HF morbidity and rehospitalization and by HF type.

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