Acute heart failure in the emergency department: a follow-up study

Andrea Fabbri1, Giulio Marchesini2, Giorgio Carbone3

  • 1Department of Emergency Medicine, Presidio Ospedaliero Morgagni-Pierantonio, AUSL della Romagna - Forlì, Via Forlanini 34, 47121, Forlì, Italy. andrea.fabbri@auslromagna.it.

Insights

Acute heart failure (AHF) poses a significant public health challenge. This study found that while older age and comorbidities like diabetes predict 1-year mortality in AHF patients, their predictive power is limited.

Area of Science:

  • Cardiology
  • Public Health
  • Geriatrics

Background:

  • Acute heart failure (AHF) presents a significant public health concern with high incidence and poor prognosis.
  • Limited research exists on long-term outcomes and predictors in emergency department (ED) AHF populations.

Purpose of the Study:

  • To analyze the 1-year prognosis and identify outcome predictors in an unselected cohort of patients presenting with AHF to the ED.
  • To evaluate the discriminant capacity of identified predictors for 1-year mortality.

Main Methods:

  • A 1-year follow-up analysis of 1234 consecutive patients diagnosed with AHF in Italian EDs.
  • Utilized Cox proportional hazard models to assess prognosis and outcome-associated factors.
  • Collected data on patient demographics, comorbidities, and specific clinical markers.

Main Results:

  • The mean patient age was 84 years, with over 50% having comorbidities, notably diabetes and cardiovascular history.
  • One-year all-cause mortality was 50.1%, predominantly from cardiovascular events.
  • Six predictors (older age, diabetes, low systolic blood pressure, elevated NT-proBNP and troponin, cognitive impairment) showed limited predictive capacity (AUC=0.649).

Conclusions:

  • A cluster of variables is associated with 1-year mortality in AHF, but their predictive power is low.
  • Older age and comorbidities, particularly diabetes, significantly influence AHF patient prognosis.
  • Further research is needed to improve the prediction of long-term outcomes in AHF.

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