Inpatient burden of esophageal cancer and analysis of factors affecting in-hospital mortality and length of stay

Dis Esophagus. 2018 Sep 1;31(9):doy022. doi: 10.1093/dote/doy022.

Abstract

Esophageal cancer (EC) continues to be a major source of morbidity and mortality in the United States. However, there has been a relative dearth of research into hospital utilization in patients with EC. This study examines temporal trends in hospital admissions, length of stay (LOS), mortality, and costs associated with EC. In addition, we also analyzed factors associated with inpatient mortality and LOS. We interrogated National Inpatient Sample (NIS), a large registry of inpatient data, to retrieve information about various demographic and factors associated with hospital stay in patients who were admitted for EC between the years 1998 and 2013 in the United States. After examining trends over time, multivariate analysis was performed to identify factors associated with LOS and mortality. During 1998-2013, 538,776 hospital stays with principal diagnosis of EC were reviewed. Number of hospital stays and inpatient charges increased by 397 per year (±67.8; P < 0.0001) and $3,033 per patient per year (±135; <0.0001) respectively. Mortality and LOS decreased by 0.23% per year (±0.03; P < 0.0001) and 0.07 days per year (±0.006; P < 0.0001) respectively. Multiple factors associated with LOS and mortality were outlined. Despite overall increase in hospital utilization with respect to number of admissions and inpatient charges, inpatient mortality and LOS associated with EC declined. Factors associated with inpatient mortality and LOS may help drive clinical decision-making and influence healthcare or hospital policy.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Cost of Illness*
  • Esophageal Neoplasms / economics*
  • Esophageal Neoplasms / mortality*
  • Female
  • Hospital Charges / trends
  • Hospital Mortality / trends*
  • Hospitalization / economics
  • Humans
  • Inpatients / statistics & numerical data
  • Length of Stay / economics*
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Registries
  • Time Factors
  • United States
  • Young Adult