[Predictors associated with clinical deterioration in SARS patients].
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.
Yan
Jie
J
Beijing Ditan Hospital, Bejing 100011, China.
Feng
Xin
X
Tian
Jing-hua
JH
Xie
Yao
Y
Yao
Jun
J
He
Zhong-ping
ZP
Xu
Dao-zhen
DZ
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