Laboratory Medicine ›› 2017, Vol. 32 ›› Issue (5): 353-360.DOI: 10.3969/j.issn.1673-8640.2017.05.002

• Orginal Article • Previous Articles     Next Articles

Combined determination of 15 biochemical indicators for the first treatment of malignant liver tumors

LIU Fenghua, WANG Lijie, ZHOU Yunheng, LI Jian, HU Qiong   

  1. Department of Clinical Labortory,the Armed Police Hospital of Shanghai,Shanghai 201103,China
  • Received:2016-06-20 Online:2017-05-20 Published:2017-06-06

Abstract:

Objective To investigate the combined determination of 15 biochemical indicators for the first treatment of malignant liver tumors. Methodse A total of 54 patients with primary hepatic carcinoma(PHC),54 patients with metastatic hepatic carcinoma(MHC) and 120 healthy subjects [normal control(NC)group] were enrolled. Serum cholyglycine(CG),prealbumin(PA),total bile acid(TBA),mitochondrial aspartate aminotransferase(m-AST),alanine aminotransferase(ALT),aspartate aminotransferase(AST),gamma-glutamyltransferase(GGT),alkaline phosphatase(ALP),lactate dehydrogenase(LDH),cholinesterase(CHE),total bilirubin(TB),direct bilirubin(DBil),total protein(TP),albumin(Alb)and Alb/globulin(A/G) ratio were determined. Receiver operating characteristic(ROC)curve was used to evaluate diagnosis performance. Exploratory factor analysis(EFA) and Logistic regression model were used to investigate the significance from single determinations to combined determination. Results The 15 biochemical indicators were statistically significant between PHC and NC groups and MHC and NC groups (P<0.05,P<0.001). There was statistical significance for TP,AST,m-AST,ALT,GGT,LDH,CG and TBA between PHC and MHC groups(P<0.05,P<0.001),and there was no statistical significance for the other indicators (P>0.05). Except for TP [area under ROC curve(AUC)=0.626],the other indicators' AUC in PHC group were ≥0.7. Except for ALT(AUC=0.600)and TB(AUC=0.566),the other indicators' AUC in MHC group were ≥0.7. EFA showed that there were 6 potential factors in PHC and MHC groups. Each potential factor was screened by comprehensive evaluation method. P9 model was made up of PA,CHE,Alb,CG,DBil,GGT,ALT,AST and LDH in PHC group. M9 model was made up of PA,CHE,Alb,TBA,DBil,GGT,AST,LDH and TP in MHC group. The diagnosis performance of P9 and M9 was similar to the combined determination of 15 biochemical indicators (Z=0.590,P=0.555 4;Z=0.515,P=0.606 8). The AUC of P9 and M9 were > 0.95,the sensitivities and specificities were > 95%,the positive likelihood ratios were >10,and the negative likelihood ratios were < 0.1. The optimal cut-off values of P9 and M9 were 1.66 and 0.58. Conclusions P9 and M9 models are effective for diagnosis performance and economical,which can replace the combined determination of 15 biochemical indicators,for the evaluation of treatment efficiency and follow-up monitoring of liver cancer.

Key words: Biochemical indicators, Malignant liver tumor, Exploratory factor analysis, Logistic regression, Receiver operating characteristic curve

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