Objective:Analysis on the distribution of both single and multiple infection of high-risk human papilloma virus(HR-HPV)in cervical lesions and understand the appearance and development process HPV multiple infection in cervical lesion.By comparing different subtypes of HPV infection in the crowd,so as to understand the regional distribution of HPV subtypes.Thus,providing theoretical support for early prevention,risk assessment,effective treatment,and monitoring of cervical lesion in clinical application.Methodology: 957 gynecology patients were studied between Jan 2014 to Dec 2015 at Yeyishan Hospital in south Anhui province.All the patients were received HPV,PCR,and DNA hybrid examination,as well as thin-layer cytology or cervical histopathological test.Based on the result of cervical tissue pathologic examination,the lesions can be divided into four categories,namely,normal inflammation(368 cases),CIN I(193 cases),CINII/ III(324 cases),and cervical cancer(72 cases).Chi-square test is used to determine the distribution and statistical significance of HPV total infection rate,HPV multiple infection rate,HPV single infection rate in those cases.Results: 1.There were 643 HPV infected and 211 HPV multiple infected ones in all the 957 patients.In fact,HPV multiple infected patients is accounted for 32.81% among the total # of HPV infected ones.Via the comparison between HPV multiple infection cases in different age group,it is founded that age group between 21-30 years old multiple infection rate was 44.07%(93/211)、age group between 31-40 years old multiple infection rate was 27.96%(59/211)and age group between 41-50 years old multiple rate was 12.8%(27/211).Thus,age group between 21-40 years old has the highest probability to be infected.2.In 368 cases of cervical cytology or pathology in normal inflammation,there were 169 cases of HPV infection,with the positive rate of 45.92%(169/368).The HPV infection rate and the severity of cervical lesions are positively correlated.Also,the highest HPV positive rate in cervical cancer group was 97.22%(70/72).Applying the chi-square test in comparison the infection rate in different groups,chi square = 134.354,P < 0.05,which indicated statistical significance.3.In 957 cases of patients with HPV infection,there were 643 HPV infected cases.Among them,432 single infected and 211 multiple infected cases were founded.Studying the 13 kinds of high-risk HPV subtypes distribution,it is indicated that HPV 16 has 238 people,accounted for 37.01%(238/643),HPV 52 has 163 people,accounted for 25.35%(163/643),and type 18 had 97 people.4.Of 432 cases of single HPV infection,normal inflammation,CIN I,CINII/ III,and cervical cancer account of 109,89,167 and 67,respectively.Of 211 cases of multiple HPV infection,normal inflammation,CIN I,CINII/ III,,and cervical cancer account of 60,56,92,and 3,respectively.In the comparison of single and multiple infections in those cervical cancer group,chi-square = 28.99,P < 0.05,which indicated statistical significance.Except cervical cancer cases group,there was no significance between single and multiple infection,since p value is less that 0.05.5.In 211 cases of HPV multiple infection,double infected cases account for 67.78%(143/211),triple infected cases account for 24.64%(52/211),quadruple infected cases account for 6.16%(13/211),quintuple infected cases account for 1.42%(3/211).Double infected cases is most popular.Differences in different cervical lesion is more than double and infection,chi-square =4.349,P = 0.361,no statistical significance.6.Of 70 cases of HPV positive cervical cancer,HPV 16 accounts for 74.29%(52/70),HPV 52 accounts for 15.71%(11/70),and HPV 18 has only 3 cases. Conclusion: 1.HPV positive rate was positively correlated with cervical lesion severity,while increasing along with the deterioration of the lesions.2.HPV multiple infection,especially HPV double infection,was very common in 20-40 years old women.3.HPV infection of multiple and single infection has no obvious difference in the precancerous lesions.4.However,in cervical cancer,HPV multiple infection rate is lower than single infection. |