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Evaluation of Logistic regression and ROC curve on diagnostic value of Epstein-Barr virus VCA-IgM ,AST and ALT in Epstein-Barr virus current infection* / 国际检验医学杂志
Article in Chinese | WPRIM | ID: wpr-606793
Responsible library: WPRO
ABSTRACT
Objective To investigate the diagnostic value of the single detection and combined detection of Epstein-Barr virus (EBV) VCA-IgM ,aspartate transaminase (AST) and alanine transaminase (ALT) in EBV current infection .Methods The VCA-IgM positive simples tested by chemiluminescence from January to October 2016 were collected .EBV-DNA was detected by RT-PCR .AST and ALT were detected by using the enzyme rate method .Then samples were divided into the EBV-DNA positive group and EBV-DNA negative group .SPSS22 .0 was used for conducting the non-parametric test .Then each indicator was analyzed by the Logistic regression and receiver operating characteristic (ROC) curve .Results The levels of VCA-IgM ,AST and ALT in the EBV-DNA positive group were higher than those in the EBV-DNA negative group ,the difference was statistically significant (P<0 .05) . VCA-IgM ,AST and ALT showed a correlation with EBV-DNA (P<0 .05) .The areas under curve (AUC) of VCA-IgM ,AST and ALT single indicator detection curve were 0 .803(95% CI0 .735 -0 .872) ,0 .788(95% CI0 .708 -0 .868) ,and 0 .752(95% CI0 .671-0 .832) ,respectively ;AUC of 3-indicator combined detection were 0 .830(95% CI0 .765 -0 .896) ,which was high than AUC of each single indicator detection .Conclusion Among the indicators in EBV current infection ,VCA-IgM is of great diagnostic value ,and is superior to AST or ALT .Furthermore ,the combined detection of these three indicators is better than single indicator detection ,which contributes to the diagnosis and prevention of EBV infection and other complicating infection .

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: International Journal of Laboratory Medicine Year: 2017 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: International Journal of Laboratory Medicine Year: 2017 Type: Article