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Retrospective analysis on 889 cases of HPV detection based on PCR reverse spot hybrid technology / 国际检验医学杂志
International Journal of Laboratory Medicine ; (12): 1206-1208, 2017.
Article in Chinese | WPRIM | ID: wpr-615918
ABSTRACT
Objective To analyze the proportion of HPV infection among the patients in the gynecology and obstetrics department and urology surgery department of our hospital,distribution of HPV high risk and low risk subtypes and distribution characteristics of high risk HPV predominant subtypes in various age groups,and to understand the HPV infection situation in this area to provide reference for the prevention of cervical cancer and vaccine development aiming at this area.Methods The cervical exfoliated cells in 889 female patients in our hospital during 2014-2015 were detected by PCR reverse spot hybrid technology,26 HPV subtypes were detected,including 17 high-risk subtypes and 9 low-risk subtypes.Results Among 889 cells samples,168 cases of HPV positive were detected with the positive rate of 18.9%,which was dominated by single infection,148 cases of high-risk subtypes were detected,accounting for 84.5% of the total number of positive cases.24 kinds of HPV subtypes were detected.High risk subtype HPV45 and low risk subtype HPV57 were not detected.The top HPV high-risk subtypes in the detection rates were HPV52,HPV16 and HPV58,in young and middle-age women,HPV16 and HPV52 were predominant infection subtype,accounting for 84.5% of total positive cases.Women >60 years old were mainly infected by HPV58.Conclusion Different subtypes of vaccine can be developed and adopted according to these study results and by aiming at different ages for preventing and treating cervical cancer and increasing the female health level.

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

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