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Clinical Analysis Of Serum C-reactive Protein,Calcitonin And Polycystic Ovary Syndrome

Posted on:2018-01-19Degree:MasterType:Thesis
Country:ChinaCandidate:P Y ZhangFull Text:PDF
GTID:2404330533960637Subject:Obstetrics and gynecology
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Objective: In this study,we investigated the incidence of PCOS disease by measuring the levels of CRP,PCT,BMI,FPG,FINS,HOMA-IR and serum sex hormones in PCOS group and control group.There was a difference between CRP,PCT,BMI,T,HOMA-IR in PCOS obesity group and PCOS non-obese group,PCOS Kaohsiung group and PCOS non-Kaohsiung group,PCOS with IR group and PCOS non-IR group,and whether there was correlation analysis,to further explore the possible development mechanism of PCOS for future clinical workers on the early prediction and prevention of the disease to provide a viable basis for the reduction of its harmful and complications of the purpose.Method: Randomly,we selected 40 patients who diagnosed PCOS in Obstetrics and Gynecology or inpatient treatment of Yan'an University Affiliated Hospital from October 2015 to January 2017.Compared with another 40 patients who diagnosed the cause of fallopian tube or infertility or excluded from other non-polycystic ovary syndrome infertility patients in our hospital.They all have complete clinical datas like age,height,weight,BMI,CRP,PCT,BMI,FPG,FINS,HOMA-IR,and sex hormone(LH,FSH,T,P,PRL,E2).If BMI ?25kg/m2 defined as obese,so we divided them into PCOS obese group,PCOS non-obese group.The PCOS group was divided into PCOS Kaohsiung group and PCOS non Kaohsiung group with the serum testosterone 2.6mmol/L as the boundary.The insulin resistance index(HOMA-IR)was calculated according to the fasting insulin and fasting blood glucose level.HOMA-IR?2.69 was used as the presence of insulin resistance(IR),divided into PCOS IR group and PCOS non IR group.All the selected cases were collected on the 2nd to 5th day of the menstrual cycle or no menstrual cramps were monitored without dominant follicles.Fasting venous blood was collected.All selected subjects were built with Microsoft Excel software database,using SPSS20.0 software package for statistical analysis.Results: 1.There was no significant difference in age,BMI,PCT,P,PRL and E2 between PCOS group and control group(P> 0.05).The levels of T,LH,LH / FSH,FINS,FPG,CRP,HOMA-IR in patients with PCOS and the difference was statistically significant(P <0.05),The level of FSH in PCOS group was lower than that in control group,the difference was statistically significant(P <0.05).2.The levels of CRP,PCT,LH,T,LH / FSH,FPG,FINS and HOMA-IR in PCOS obese group were higher than those in PCOS non-obese group(P <0.05).3.The levels of CRP,PCT,LH,LH / FSH,FINS,FPG and HOMA-IR in PCOS were higher than those in PCOS non-Kaohsiung group,the difference was statistically significant(P <0.05).4.The levels of CRP,PCT,T,LH,LH / FSH,FINS,FPG and BMI in PCOS and IR group were significantly higher than those in PCOS non IR group(P <0.05).5.Pearson correlation analysis showed that CRP and BMI,HOMA-IR and T were positively correlated with BMI,HOMA-IR and T as independent variables in PCOS group(r = 0.68,0.76,0.54,P <0.05),the difference was statistically significant.PCT was positively correlated with BMI and HOMA-IR(r = 0.63,0.67,P <0.05),and had no correlation with T(r = 0.27,P> 0.05).6.In PCOS group BMI,HOMA-IR and T these are positive correlation.Conclusion: 1.The patients with PCOS are hyperandrogenism,high LH levels,low levels of FSH,high LH / FSH ratio,insulin resistance,hyperinsulinemia.2.PCOS may be associated with chronic subclinical inflammation,and chronic have a certain relationship with subclinical inflammation,obesity,androgen,insulin resistance.3.The development of PCOS is associated with obesity,hyperandrogenism,insulin resistance,and obesity,hyperandrogenism,and insulin resistance are related to each other.
Keywords/Search Tags:polycystic ovary syndrome, insulin resistance, hyperandrogenism, obesity, chronic inflammation
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