Preliminary study on relationship of disease-syndrome-symptom of ovulatory disorder infertility based on factor analysis.
- Author:
Min LI
;
Kun MA
;
Jing SHAN
- Publication Type:Journal Article
- MeSH: Adult; Diagnosis, Differential; Female; Humans; Infertility, Female; diagnosis; physiopathology; Ovulation
- From: China Journal of Chinese Materia Medica 2014;39(19):3860-3864
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVEIn this study, the clinical data of 240 cases of data acquisition on ovulation in patients with anovulatory infertility.
METHODUsing the method of factor analysis, summed up the distribution situation of various syndromes and the relationship of disease-syndrome-symptom.
RESULTFrom the study we found that polycystic ocary syndrome > premature ovarian failure > corpus luteum insufficiency > luteinized unruptured follicle syndrome > hyperprolactinemia > anovulatory dysfunctional uterine bleeding. Using the factor analysis method, the syndromes of anovulatory infertility were divided into six types and the distribution proportion of them is: kidney Yang deficiency and blood stasis > kidney Yang deficiency > kidney Yin deficiency and blood stasis > kidney Yin deficiency and liver Qi stagnation syndrome > kidney Yang deficiency and phlegm dampness stagnation > kidney Yin deficiency. By means of statistics, the traditional Chinese medicine (TCM) symptoms as abdomen pain before menstrual onset, obfuscation colour, cold lower abdomen, insomnia, fatigue, eyes dark, face dark or ring lip dark, before and after menstruation breast swelling, chest tightness, irritable insomnia, depression and lower abdomen pain during menstruation etc contribute high degree in the process.
CONCLUSIONPolycystic ovary syndrome and premature are the main causes of ovulatory disorder infertility and the disease incidence rate assumed the tendency which rose year by year. The treatment of the disease of kidney yang deficiency syndrome scales biggest the disease degree of contribution. Blood stasis is the important factor in the process of pathogenesis evolution. In the study of disease distribution, we found that symptom distribution trend roughly the same and the same symptom severity in different diseases with different, which provides experience for the theory-different diseases with the same therapeutic method. These conclusions provide guidance and reference evidences for clinic practice.