Font Size: a A A

Analysis Of The Distribution Law And Related Factors Of TCM Syndrome Types Of Infertility

Posted on:2022-09-05Degree:MasterType:Thesis
Country:ChinaCandidate:C C LiuFull Text:PDF
GTID:2514306746954039Subject:TCM gynecology
Abstract/Summary:PDF Full Text Request
Purpose:Based on the cluster analysis method to explore the distribution of TCM syndromes of infertility patients,and analyze the differences between the relevant clinical data of each syndrome,provide epidemiological evidence for clinical diagnosis and treatment of infertility and scientific research,and then provide clinical information for the future And scientific research to provide better guidance.Material and method:1.Collect infertility patients who visited the gynecological clinic and reproductive medicine center of the Affiliated Hospital of Liaoning University of Traditional Chinese Medicine from September 2018 to December 2020,collect the information of the four clinics of Chinese medicine,and use the K-means cluster analysis method to analyze It performs cluster analysis.2.Through a face-to-face questionnaire survey of patients with infertility,the clinical data obtained from the survey was entered into the EXCEL form,and then SPSS26.0 software was used to statistically analyze the relationship between related factors and TCM syndromes of infertility.Results:A total of 200 questionnaires were sent out in this survey,182 were returned,and 168 were valid questionnaires,14 of which were excluded due to unchecked and unknown causes.1.A total of 168 patients were enrolled.Through cluster analysis,it was found that when clustered into 11 categories,the information distribution of the four diagnosis of TCM was the most reasonable.The specific syndrome types were finally summarized as: 45 cases of kidney deficiency and liver depression,accounting for 26.79%;kidney qi deficiency syndrome 9 cases,accounting for 5.36%;9 cases of kidney-yin deficiency,accounting for5.36%;14 cases of kidney-yang deficiency,accounting for 8.33%;16 cases of kidney deficiency,phlegm-dampness syndrome,accounting for 9.52%;14 cases of kidney deficiency and blood stasis syndrome,accounting for 8.33% 18 cases of liver depression and phlegm dampness syndrome,accounting for 10.71%;16 cases of liver depression and blood stasis syndrome,accounting for 9.52%;9 cases of phlegm dampness and blood stasis syndrome,accounting for 5.36%;9 cases of damp-heat syndrome,accounting for 5.36%;Qi-blood deficiency syndrome 9 cases,accounting for 5.36%.2.Among the 168 cases of infertility,75.00% were primary infertility and 25.00% were secondary infertility.In terms of education level distribution,the majority are those with a college degree or above,accounting for 57.14%;in terms of occupational distribution,brainpower Labor-based,accounting for 74.40%;the distribution of residential areas,mainly in cities,accounting for 70.83%;in the distribution of causes,mainly ovulation-related infertility,accounting for 42.26%.3.In this survey,age,course of disease and etiology have statistically significant differences from the distribution of TCM syndrome types,P<0.05;factors such as primary secondary,educational level,occupation,and residence are not statistically different from the distribution of TCM syndrome types.P>0.05.Conclusion:1.According to cluster analysis,there are 11 types of clinical infertility,which are: kidney deficiency and liver stagnation syndrome,kidney qi deficiency syndrome,kidney yin deficiency syndrome,kidney yang deficiency syndrome,kidney deficiency phlegm-dampness syndrome,kidney deficiency and blood stasis syndrome,Liver stagnation and phlegm dampness syndrome,liver stagnation and blood stasis syndrome,phlegm dampness and blood stasis syndrome,damp-heat syndrome,qi and blood weakness syndrome.2.The TCM syndromes of infertility patients are mostly clinically compound syndromes,among which the syndrome of kidney deficiency and liver depression is the most common.3.The distribution of various TCM syndrome types of infertility patients is correlated with factors such as age,course of disease and etiology;there is no correlation with factors such as education level,occupation,place of residence,primary and secondary factors.
Keywords/Search Tags:Infertility, Cluster analysis, TCM syndrome type, Related factors
PDF Full Text Request
Related items