University of Aberdeen

AURA - Aberdeen University Research Archive

View Item 
  •   AURA Home
  • 5 - All Research
  • All research
  • View Item
  •   AURA Home
  • 5 - All Research
  • All research
  • View Item
  •   AURA Home
  • 5 - All Research
  • All research
  • View Item
      JavaScript is disabled for your browser. Some features of this site may not work without it.

      Predicting death and readmission after intensive care discharge

      View/Open
      Campbell 2008.pdf (133.3Kb)
      Publication date
      06/2008
      Author
      Campbell, Alison J.
      Cook, Jonathan Alistair
      Adey, Gillian
      Cuthbertson, Brian
      Metadata
      Show full item record
      Abstract
      Background: Despite initial recovery from critical illness, many patients deteriorate after discharge from the intensive care unit (ICU). We examined prospectively collected data in an attempt to identify patients at risk of readmission or death after intensive care discharge. Methods: This was a secondary analysis of clinical audit data from patients discharged alive from a mixed medical and surgical (non-cardiac) ICU. Results: Four hundred and seventy-five patients (11.2%) died in hospital after discharge from the ICU. Increasing age, time in hospital before intensive care admission, Acute Physiology and Chronic Health Evaluation II (APACHE II) score, and discharge Therapeutic Intervention Scoring System (TISS) score were independent risk factors for death after intensive care discharge. Three hundred and eighty-five patients (8.8%) were readmitted to intensive care during the same hospital admission. Increasing age, time in hospital before intensive care, APACHE II score, and discharge to a high dependency unit were independent risk factors for readmission. One hundred and forty-three patients (3.3%) were readmitted within 48 h of intensive care discharge. APACHE II scores and discharge to a high dependency or other ICU were independent risk factors for early readmission. The overall discriminant ability of our models was moderate with only marginal benefit over the APACHE II scores alone. Conclusions: We identified risk factors associated with death and readmission to intensive care. It was not possible to produce a definitive model based on these risk factors for predicting death or readmission in an individual patient.
      Citation
      Campbell, A.J., Cook, J.A., Adey, G., and Cuthbertson, B.H. (2008). Predicting death and readmission after intensive care discharge. British Journal of Anaesthesia, 100(5), pp. 656-662.
      URI
      http://hdl.handle.net/2164/280
      DOI
      http://dx.doi.org10.1093/bja/aen069
      Rights
      This is a pre-copy-editing, author-produced PDF of an article accepted for publication in British Journal of Anaesthesia following peer review. The definitive publisher-authenticated version Campbell, AJ., Cook, JA., Adey, G. & Cuthbertson, B. (2008). 'Predicting death and readmission after intensive care discharge.' British Journal of Anaesthesia 100(5) pp. 656-662. is available online at: http://dx.doi.org10.1093/bja/aen069.
      Collections
      • All research

      Browse

      All of AURACommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects
      Top of Page
      • AURA Home
      • Accessibility
      • PURE
      • Digital Resources
      • Library, Special Collections & Museums
      • Take-Down Notice
      • Send Feedback
      • Contact Us
         
       
      Library, Special Collections and Museums logo
      The Sir Duncan Rice Library
      University of Aberdeen
      Bedford Road
      Aberdeen
      AB24 3AA

      Tel: +44 (0)1224 273330
      Email: library@abdn.ac.uk
       
         

      Share and keep up to date

      FacebookTwitterWordpress

      • AURA Home
      • Accessibility
      • PURE
      • Digital Resources
      • Library, Special Collections & Museums
      • Take-Down Notice
      • Send Feedback
      • Contact Us