title: Clinical prognostic rules for severe acute respiratory syndrome in low- and high-resource settings.
abstract: BACKGROUND
  An accurate prognostic model for patients with severe acute respiratory syndrome (SARS) could provide a practical clinical decision aid. We developed and validated prognostic rules for both high- and low-resource settings based on data available at the time of admission.
  
  
  METHODS
  We analyzed data on all 1755 and 291 patients with SARS in Hong Kong (derivation cohort) and Toronto (validation cohort), respectively, using a multivariable logistic scoring method with internal and external validation. Scores were assigned on the basis of patient history in a basic model, and a full model additionally incorporated radiological and laboratory results. The main outcome measure was death.
  
  
  RESULTS
  Predictors for mortality in the basic model included older age, male sex, and the presence of comorbid conditions. Additional predictors in the full model included haziness or infiltrates on chest radiography, less than 95% oxygen saturation on room air, high lactate dehydrogenase level, and high neutrophil and low platelet counts. The basic model had an area under the receiver operating characteristic (ROC) curve of 0.860 in the derivation cohort, which was maintained on external validation with an area under the ROC curve of 0.882. The full model improved discrimination with areas under the ROC curve of 0.877 and 0.892 in the derivation and validation cohorts, respectively.
  
  
  CONCLUSIONS
  The model performs well and could be useful in assessing prognosis for patients who are infected with re-emergent SARS.
authors.affiliation: Department of Community Medicine and School of Public Health, the University of Hong Kong, Pokfulam, Hong Kong.
authors.forename: Benjamin J
authors.initials: BJ
authors.lastname: Cowling
authors.forename: Matthew P
authors.initials: MP
authors.lastname: Muller
authors.forename: Irene O L
authors.initials: IO
authors.lastname: Wong
authors.forename: Lai-Ming
authors.initials: LM
authors.lastname: Ho
authors.forename: Su-Vui
authors.initials: SV
authors.lastname: Lo
authors.forename: Thomas
authors.initials: T
authors.lastname: Tsang
authors.forename: Tai Hing
authors.initials: TH
authors.lastname: Lam
authors.forename: Marie
authors.initials: M
authors.lastname: Louie
authors.forename: Gabriel M
authors.initials: GM
authors.lastname: Leung
mesh_terms: D000328:Adult; D000368:Aged; D005260:Female; D006723:Hong Kong / Q000453:epidemiology; D006801:Humans; D015994:Incidence; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D009864:Ontario / Q000453:epidemiology; D011379:Prognosis; D012372:ROC Curve; D012189:Retrospective Studies; D045169:Severe Acute Respiratory Syndrome / Q000453:epidemiology*; D015996:Survival Rate / Q000639:trends