title: [Predictors associated with clinical deterioration in SARS patients].
abstract: BACKGROUND
  To study the predictive factors associated with clinical deterioration in SARS patients.
  
  
  METHODS
  The clinical data of 60 SARS patients were analyzed by logistic regression and Cox's proportional hazards analysis.
  
  
  RESULTS
  In logistic regression models, both older age (P=0.009) and severe lymphopenia (P=0.004) were significant predictors of clinical deterioration. In Cox's proportional hazard models, severe lymphopenia was significant predictor associated with prolongation of stay in hospital.
  
  
  CONCLUSIONS
  Older age and severe lymphopenia seem to be statistically significant for predicting the clinical deterioration in SARS patients.
authors.affiliation: Beijing Ditan Hospital, Bejing 100011, China.
authors.forename: Jie
authors.initials: J
authors.lastname: Yan
authors.forename: Xin
authors.initials: X
authors.lastname: Feng
authors.forename: Jing-hua
authors.initials: JH
authors.lastname: Tian
authors.forename: Yao
authors.initials: Y
authors.lastname: Xie
authors.forename: Jun
authors.initials: J
authors.lastname: Yao
authors.forename: Zhong-ping
authors.initials: ZP
authors.lastname: He
authors.forename: Dao-zhen
authors.initials: DZ
authors.lastname: Xu
mesh_terms: D000328:Adult; D000368:Aged; D018450:Disease Progression; D005260:Female; D006801:Humans; D016015:Logistic Models; D008231:Lymphopenia / Q000821:virology; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D011379:Prognosis; D016016:Proportional Hazards Models; D011897:Random Allocation; D045473:Severe acute respiratory syndrome-related coronavirus; D045169:Severe Acute Respiratory Syndrome / Q000150:complications / Q000175:diagnosis* / Q000276:immunology* / Q000821:virology