Landmark prediction of nosocomial infection risk to disentangle short- and long-stay patients

J Hosp Infect. 2017 May;96(1):81-84. doi: 10.1016/j.jhin.2017.01.017. Epub 2017 Feb 4.

Abstract

Length of stay is one of the key determinants for the risk of nosocomial infections. The distribution of this at-risk time is heavily skewed and depends on discharge or death. This study applied landmark competing risk prediction models to account for a large proportion of short-stay patients and a small proportion of long-stay patients.

Keywords: Competing risks; Hospital mortality; Hospital-acquired infections; Length of stay; Time-to-event analysis.

MeSH terms

  • Cross Infection / epidemiology*
  • Cross Infection / mortality
  • Health Status Indicators
  • Hospital Mortality / trends
  • Humans
  • Intensive Care Units
  • Length of Stay / statistics & numerical data
  • Length of Stay / trends*
  • Patient Discharge / statistics & numerical data
  • Respiration, Artificial / adverse effects
  • Respiration, Artificial / mortality
  • Risk Factors
  • Severity of Illness Index
  • Spain / epidemiology