ABSTRACT
Object To investigate the main risk factors of ICU sydrome,and establish Logistic regression model to evaluate the accuracy rating、sensitivity and specificity for predicting ICU sydrome.Methods Investigated all patients hospitalized in ICU from June to July of 2007.Data collected include age,gender,religion,family income,education degree,primary disease,character type,APACHE II score and et al.Case-control study Was used to retrospectively investigate the clinical data of ICU sydrome.Firstly,sillgle factor analysis was used in 21 clinical variables.Then,Multivariate Logestic regression analysis was used in selected variables.Results Twelve clinical variables,including age,gender,family income,health care cost wiping out degree,whether or not having family member'death,whether or not encountering other patients'death,length of stay in ICU,whether or not receiving ventilator theraphy,sleep quality,score of APACHE II,time with disease,character type.By Logestic regression analysis,it WSS revealed that there were 6 significant factors for ICU sydrome in diminishing sequence as whether or not receiving ventilator theraphy,length of stay in ICU,sleep quality,gender,time with disease and whether or not encountering other patientsMeath.Logestic regression equation was as following:P=1/[1+Exp∑(31.425+2.611X1+8.188X2-2.677X3+7.474X4+4.312X5+6.153X6)].The accuracy rating、sensitivity and specificity of the Logestic model was 82.37%.79.42% and 85.13% respectively.Conclusions Whether or not receiving ventilator theraphy,length of stay in ICU,sleep quality,gender,time with disease and whether or not encountering other patients'death were the main risk factors of ICU sydrome.The Logestic regression model based on these factors is reliable in predicting ICU sydrome.
