title: Validation of "Signs of Inflammation in Children that Kill" (SICK) score for immediate non-invasive assessment of severity of illness.
abstract: OBJECTIVE
  To validate the SICK scoring system's ability to differentiate between individuals with higher and lower probabilities of death
  
  
  METHODS
  We performed a one year two-centre prospective evaluation of all children aged between one month and 12 years referred to the Paediatric team at St Stephens Hospital in Delhi and admitted to the Paediatric Department at West Middlesex University Hospital in London. We calculated SICK scores at presentation and correlated them with subsequent in-hospital mortality. We used discrimination by areas under receiver operating characteristic (ROC) curves to measure performance.
  
  
  RESULTS
  We prospectively evaluated 3895 children in Delhi and 1473 children in London. The areas under the ROC curves were 84.8% in Delhi, 81.0% in London and 84.1% (95% CI 77.4-90.8%) for combined data. Hosmer-Lemeshow goodness of fit for the combined data was good (Hosmer-Lemeshow Chi-square=2.13 (p=0.345).
  
  
  CONCLUSIONS
  We propose the SICK score as a useful triage tool at initial presentation and highlight its particular suitability for resource poor settings.
authors.affiliation: Department of Pediatrics, St Stephens Hospital, Delhi, India.
authors.forename: Manoj A
authors.initials: MA
authors.lastname: Gupta
authors.forename: Anjan
authors.initials: A
authors.lastname: Chakrabarty
authors.forename: Ruth
authors.initials: R
authors.lastname: Halstead
authors.forename: Mohit
authors.initials: M
authors.lastname: Sahni
authors.forename: Jayanti
authors.initials: J
authors.lastname: Rangasami
authors.forename: Ashish
authors.initials: A
authors.lastname: Puliyel
authors.forename: Vishnubhatla
authors.initials: V
authors.lastname: Sreenivas
authors.forename: David A
authors.initials: DA
authors.lastname: Green
authors.forename: Jacob M
authors.initials: JM
authors.lastname: Puliyel
mesh_terms: D000208:Acute Disease / Q000145:classification* / Q000401:mortality; D017677:Age Distribution; D002423:Cause of Death / Q000639:trends; D002648:Child; D002675:Child, Preschool; D004630:Emergencies / Q000145:classification*; D005260:Female; D017052:Hospital Mortality / Q000639:trends; D006776:Hospitals, Pediatric; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008131:London / Q000453:epidemiology; D008297:Male; D017063:Outcome Assessment, Health Care / Q000379:methods*; D011446:Prospective Studies; D012372:ROC Curve; D012720:Severity of Illness Index; D014218:Triage / Q000379:methods*