Comorbidity profiles and inpatient outcomes during hospitalization for heart failure: an analysis of the U.S. Nationwide inpatient sample

BMC Cardiovasc Disord. 2014 Jun 5:14:73. doi: 10.1186/1471-2261-14-73.

Abstract

Background: Treatment of heart failure (HF) is particularly complex in the presence of comorbidities. We sought to identify and associate comorbidity profiles with inpatient outcomes during HF hospitalizations.

Methods: Latent mixture modeling was used to identify common profiles of comorbidities during adult hospitalizations for HF from the 2009 Nationwide Inpatient Sample (n = 192,327).

Results: Most discharges were characterized by "common" comorbidities. A "lifestyle" profile was characterized by a high prevalence of uncomplicated diabetes, hypertension, chronic pulmonary disorders and obesity. A "renal" profile had the highest prevalence of renal disease, complicated diabetes, and fluid and electrolyte imbalances. A "neurovascular" profile represented the highest prevalence of cerebrovascular disease, paralysis, myocardial infarction and peripheral vascular disease. Relative to the common profile, the lifestyle profile was associated with a 15% longer length of stay (LOS) and 12% greater cost, the renal profile was associated with a 30% higher risk of death, 27% longer LOS and 24% greater cost, and the neurovascular profile was associated with a 45% higher risk of death, 34% longer LOS and 37% greater cost (all p < 0.001).

Conclusions: Comorbidity profiles are helpful in identifying adults at higher risk of death, longer length of stay, and accumulating greater costs during hospitalizations for HF.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Aged
  • Comorbidity
  • Female
  • Heart Failure / diagnosis
  • Heart Failure / economics
  • Heart Failure / epidemiology*
  • Heart Failure / mortality
  • Heart Failure / therapy
  • Hospital Costs
  • Humans
  • Length of Stay
  • Male
  • Patient Admission* / economics
  • Prevalence
  • Prognosis
  • Risk Factors
  • Time Factors
  • United States / epidemiology