Early Transfer of Patients with Acute Heart Failure from a Core Hospital to Collaborating Hospitals and Their Prognoses

Int Heart J. 2018 Sep 26;59(5):1026-1033. doi: 10.1536/ihj.17-449. Epub 2018 Jul 15.

Abstract

Japan is facing problems associated with "heart failure (HF) pandemics" and bed shortages in core hospitals that can accommodate patients with acute HF. The prognosis is currently unknown for acute HF patients who were transferred from core hospitals to collaborating hospitals during the very early treatment phase and whose treatment strategies are in place.We enrolled 166 acute HF patients who were hospitalized between January 1, 2015, and December 31, 2015, and compared the conditions of transferred patients (n = 53, median duration before transfer = 6 days) and nontransferred patients (n = 113). The transferred and nontransferred patients had similar one-year mortality rates (24.5% versus 19.5%, log-rank P = 0.27) and composite one-year mortality and HF readmission rates (35.8% versus 31.0%, log-rank P = 0.32). Multivariate analysis determined that patient transfers were not associated with a higher composite endpoint (hazard ratio, 1.08; 95% confidence interval, 0.58-1.99, P = 0.82). Transferred patients with low composite congestion scores (CCSs) had significantly lower composite endpoints than those with high CCSs (23.5% versus 57.9%, log-rank P = 0.005).Acute HF patients who were transferred did not have inferior prognoses compared with nontransferred patients when the treatment strategies were correctly assumed by cardiologists. The implementation of early and strict decongestion strategies before transfer may be important for reducing cardiovascular events.

Keywords: Composite congestion score; Transfer hospital.

Publication types

  • Comparative Study

MeSH terms

  • Acute Disease
  • Aged
  • Aged, 80 and over
  • Female
  • Heart Failure / diagnosis
  • Heart Failure / epidemiology*
  • Heart Failure / therapy*
  • Hospitalization / statistics & numerical data*
  • Hospitalization / trends
  • Humans
  • Japan / epidemiology
  • Male
  • Mortality / trends
  • Patient Readmission / statistics & numerical data
  • Patient Transfer / methods*
  • Patient Transfer / statistics & numerical data*
  • Prevalence
  • Prognosis
  • Survival Analysis