Analysis of serum biochemical indicators and their predictive values in patients with alcohol dependence syndrome
Objective To investigate serum biochemical indicators levels and their early predictive value in patients with alcohol dependence syndrome(ADS).Methods The clinical data of 212 ADS patients(research group)and 185 healthy volunteers(control group)were retrospectively analyzed.Ages and levels of such serum biochemical indicators were compared between two groups as(alanine transaminase[ALT],aspartate transaminase[AST],lactate dehydrogenase[LDH],total bile acid[TBA],total protein[TP],homocysteine[HCY],uric acid[UA],cystatin C[Cys-C],cholinesterase[CHE],total cholesterol[TC],triglyceride[TG],high-density lipoprotein cholesterol[HDL-C],low-density lipoprotein cholesterol[LDL-C],and glucose[GLU]).Spearman analysis was used to explore the relationships between serum indicators and ADS onset,receiver operating characteristic(ROC)curve plotted to analyze the early predictive values of AST,TP,HDL-C,HCY,and Cys-C for the ADS.Results The levels of ALT,AST,LDH,TBA,HDL-C,HCY and Cys-C were higher,age and the levels of CHE,TP,TG,LDL-C and GLU were lower in study than control group(P＜0.01).Regression analysis showed that AST,TP,HDL-C,HCY and Cys-C were all influencing factors of the ADS(P＜0.05 or 0.01).Spearman correlation analysis showed that TP level was negatively associated with drinking time and addiction time(P＜0.05)and Cys-C positively with them(P＜0.01).ROC curve analysis results showed that the area under the ROC curve of the combination prediction of serum AST,TP,HDL-C,HCY and Cys-C was 0.981,95%CI:0.961～0.992,sensitivity and specificity were respectively 92.61%and 96.22%,and which were better than the prediction value of single index(P＜0.05).Conclusion The AST,TP,HDL-C,HCY and Cys-C are effective indicators for predicting the ADS and the predictive value of their combination is higher,which has a certain clinical application value to auxiliary diagnosis and clinical treatment of the ADS.
alcohol dependence syndromeserum biochemical indicatorpredictive value
万方数据
维普
