Symptom-hemodynamic mismatch and heart failure event risk

Christopher S. Lee, Shirin O. Hiatt, Quin E. Denfeld, James O. Mudd, Christopher Chien, Jill M. Gelow

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

Background: Heart failure (HF) is a heterogeneous condition of both symptoms and hemodynamics. Objective: The goals of this study were to identify distinct profiles among integrated data on physical and psychological symptoms and hemodynamics and quantify differences in 180-day event risk among observed profiles. Methods: A secondary analysis of data collected during 2 prospective cohort studies by a single group of investigators was performed. Latent class mixture modeling was used to identify distinct symptom-hemodynamic profiles. Cox proportional hazards modeling was used to quantify difference in event risk (HF emergency visit, hospitalization, or death) among profiles. Results: The mean age (n = 291) was 57 ± 13 years, 38% were female, and 61% had class III/IV HF. Three distinct symptom-hemodynamic profiles were identified: 17.9% of patients had concordant symptoms and hemodynamics (ie, moderate physical and psychological symptoms matched the comparatively good hemodynamic profile), 17.9% had severe symptoms and average hemodynamics, and 64.2% had poor hemodynamics and mild symptoms. Compared with those in the concordant profile, both profiles of symptom-hemodynamic mismatch were associated with a markedly increased event risk (severe symptoms hazards ratio, 3.38; P =.033; poor hemodynamics hazards ratio, 3.48; P =.016). Conclusions: A minority of adults with HF have concordant symptoms and hemodynamics. Either profile of symptom-hemodynamic mismatch in HF is associated with a greater risk of healthcare utilization for HF or death.

Original languageEnglish (US)
Pages (from-to)394-402
Number of pages9
JournalJournal of Cardiovascular Nursing
Volume30
Issue number5
DOIs
StatePublished - Sep 28 2015

Keywords

  • heart failure
  • hemodynamics
  • symptom clusters
  • symptoms

ASJC Scopus subject areas

  • General Medicine

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