title: Validation of physiological scoring systems in the accident and emergency department.
abstract: BACKGROUND
  Scoring systems that weigh the degree of abnormality of bedside observations might be able to identify patients at risk of catastrophic deterioration.
  
  
  OBJECTIVE
  To establish a frequency distribution for typical physiological scoring systems and to establish the potential benefit of adding these to an existing triage system in accident and emergency departments.
  
  
  METHODS
  Physiological data were collected from 53 unselected emergency department admissions, from 50 patients admitted from the emergency department to intensive care, and from 50 patients admitted from emergency department to general wards and then to intensive care. Three different physiological scores were calculated from the data. Identification of sick patients by the scores was compared with triage information from the Manchester Triage System (MTS).
  
  
  RESULTS
  Most patients admitted to the emergency department would not be identified as critically ill with the aid of physiological scoring systems. This was true even for patients who were admitted to intensive care. Only in 0-8% of unselected patients did the scores indicate increased risk. In 100 patients admitted to the intensive care, adding of medical emergency team call-out criteria, Modified Early Warning Score or Assessment Score for Sick patient Identification and Step-up in Treatment would identify none, seven or one patient in addition to those triaged as orange and red by the MTS.
  
  
  CONCLUSIONS
  Introduction of a physiological scoring system would have identified only a small number of additional patients as critically ill and added little to the triage system currently in use.
authors.affiliation: Department of Medicine, Wrexham Maelor Hospital, Wrexham, UK. csubbe@hotmail.com
authors.forename: C P
authors.initials: CP
authors.lastname: Subbe
authors.forename: A
authors.initials: A
authors.lastname: Slater
authors.forename: D
authors.initials: D
authors.lastname: Menon
authors.forename: L
authors.initials: L
authors.lastname: Gemmell
mesh_terms: D000059:Accidents; D000328:Adult; D003422:Critical Care; D004630:Emergencies / Q000145:classification; D004636:Emergency Service, Hospital / Q000592:standards* / Q000706:statistics & numerical data; D004739:England; D005260:Female; D006767:Hospitals, District; D006769:Hospitals, General; D006801:Humans; D008297:Male; D008875:Middle Aged; D008991:Monitoring, Physiologic / Q000592:standards* / Q000706:statistics & numerical data; D010360:Patient Transfer; D011446:Prospective Studies; D018709:Statistics, Nonparametric; D014218:Triage / Q000379:methods / Q000592:standards