Affiliations 

  • 1 Discipline of Clinical Pharmacy, School of Pharmaceutical Sciences, Universiti Sains, Malaysia, Pulau Pinang, Malaysia
  • 2 Institute of Pharmaceutical Science, King's College London, London, United Kingdom
  • 3 Department of Medicine, Brighton and Sussex Medical School, Brighton, United Kingdom
  • 4 Department of Geriatrics, Catholic University of the Sacred Heart, Rome, Italy
  • 5 Department of Geriatrics and Gerontology, Ghent University Hospital, Ghent, Belgium
  • 6 Department of Medicine, Brighton and Sussex Medical School, Brighton, United Kingdom; Department of Internal Medicine, Section of Geriatric Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands; Faculty of Industrial Design Engineering, Delft University of Technology, Delft, The Netherlands
PLoS One, 2014;9(10):e111254.
PMID: 25356898 DOI: 10.1371/journal.pone.0111254

Abstract

Older patients are at an increased risk of developing adverse drug reactions (ADR). Of particular concern are the oldest old, which constitute an increasingly growing population. Having a validated clinical tool to identify those older patients at risk of developing an ADR during hospital stay would enable healthcare staff to put measures in place to reduce the risk of such an event developing. The current study aimed to (1) develop and (2) validate an ADR risk prediction model.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.