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The Study Of The Effective Timing Of Ovarian Aging In Chinese Traditional Medicine

Posted on:2012-06-20Degree:MasterType:Thesis
Country:ChinaCandidate:M KuangFull Text:PDF
GTID:2154330335467736Subject:Traditional Chinese Medicine
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Objectives:This study is to explore the proper time to treat Ovarian Aging by traditional Chinese medicine and analyze the effectiveness of traditional Chinese medicine in different stages of ovarian treatment in Chinese medicine, which can provide exploratory evidence for the further clinical researches on the prevention and cure of ovarian aging by traditional Chinese medicine.Materials and methodology:1.1 Subjects of this studyPatients meeting the inclusion criteria for Ovarian Aging (including Premature Ovarian Ageing, POA and Premature Ovarian Failure, POF) who went to the Guangdong Provincial Hospital gynecology clinic for medical treatment with the main complaint of menstrual disorder and amenorrhea from January to December in 2010.1.2 MethodologiesThe adoption of collecting cases is to compare artificial cycle and the differences in Chinese medical treatments based on the changes in serum FSH, E2 levels of the two groups before and after treatment and analyze the situation of pregnancy among patients with the requirement for pregnancy. In order to further analyze the effective time of drug intervention in early ovarian aging, the efficacy of the treatment in the two groups is compared according to the stratified analysis of the different FSH levels at baseline. 1.3 Statistical analysisAll the information collected in the study was set up as database by using SPSS17.On. Normal distributed data were processed by using independent sample t-test, while abnormal distributed data were compared by using rank sum test. The writer uses constituent ratio to describe the categorical data, test level a=0.05.Results and conclusion:1. For all the patients with ovarian aging, estrogen artificial cycle treatment could have better effects on lowering FSH level than Chinese medicine. And the difference is statistically significant; the difference in the impact on E2 between the two groups is not statistically significant.2. The two states of ovarian aging (POA and POF) are respectively divided into two subgroups for statistical analysis, which is based on the dividing point of FSH level 40IU/L. The comparisons between the two groups show:the POA subgroups of FSH 0-40IU/L before treatment, the effects of Traditional Chinese medicine treatment on reducing the FSH level of POA patients are better than the effects of hormone artificial cycle group, in which the difference is statistically significant; in the POF subgroups of FSH≥40IU/L, the decreases of FSH in both artificial cycle group and TCM group f show no statistical significance. The in-group comparisons show:hormone artificial cycle therapy is statistically significant in lowering FSH of POF patients, but fails to be statistically significant in lowering FSH of POA patients; In comparison with hormone artificial cycle therapy, Chinese medicine treatment has statistical significance in reducing FSH of POA patients, while its decrease in FSH of POF patients is statistical significant. Such results suggest that the traditional Chinese medicine might have effects in early ovarian aging.3. For the POA patients, the menstruation of the patients in Chinese medicine group has been greatly improved. During the treatment, one patient has been successfully pregnant in the eight sample cases with pregnancy requirements.4. In summary, combined with the changes of menstruation and hormone levels after the treatments, the study suggests that potential advantages of traditional Chinese medicine:for POA of ovarian aging, traditional Chinese medicine are likely to replace hormone artificial cycle therapy and have the effect of improving fertility. And pregnancy can occur in the course of treatment, without waiting for drug withdrawal, therefore that treatment can save time.
Keywords/Search Tags:premature ovarian aging, premature ovarian failure, Chinese medicine treatment
PDF Full Text Request
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