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

M. Wolkewitz, M. Zortel, M. Palomar-Martinez, F. Alvarez-Lerma, P. Olaechea-Astigarraga, M. Schumacher

Research output: Contribution to journalArticleResearchpeer-review

8 Citations (Scopus)

Abstract

© 2017 The Healthcare Infection Society 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.
Original languageEnglish
Pages (from-to)81-84
JournalJournal of Hospital Infection
Volume96
Issue number1
DOIs
Publication statusPublished - 1 May 2017

Keywords

  • Competing risks
  • Hospital mortality
  • Hospital-acquired infections
  • Length of stay
  • Time-to-event analysis

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