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ADHERE Tree Model Calculator

ADHERE Tree Model: Explanation and Clinical Context The ADHERE Tree Model is a validated bedside tool to estimate in-hospital mortality risk for patients admitted with acute decompensated heart failure (ADHF). It uses three key clinical variables readily available at hospital admission: Blood Urea Nitrogen (BUN), Systolic Blood Pressure (SBP), and Serum Creatinine. Based on these values, patients are stratified into

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ADHERE Tree Model: Explanation and Clinical Context The ADHERE Tree Model is a validated bedside tool to estimate in-hospital mortality risk for patients admitted with acute decompensated heart failure (ADHF). It uses three key clinical variables readily available at hospital admission: Blood Urea Nitrogen (BUN), Systolic Blood Pressure (SBP), and Serum Creatinine. Based on these values, patients are stratified into low, intermediate, or high risk categories, with corresponding estimated in-hospital mortality rates.

This simple decision-tree approach allows rapid bedside risk assessment and aids clinicians in identifying patients who may require more intensive monitoring or intervention.

Evidence & references1 primary source mapped
  1. Source 1

    Fonarow GC, et al. "Characteristics, treatments, and outcomes of patients with preserved systolic function hospitalized for heart failure: A report from the ADHERE database." J Am Coll Cardiol. 2004;43:73-81. Gheorghiade M, et al. "Predictors of in-hospital mortality in patients hospitalized for heart failure: A model from the ADHERE registry." JAMA. 2005;293:2545-2553.

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Clinical structure and calculation context point directly to Source 1; additional primary references remain listed for auditability.