Parameter study on characteristic pulse diagram of polycystic ovary syndrome based on logistic regression analysis
Creators: name: Wang, Weiying
name: Zeng, Weiwei
name: Chen, Xinmin
name: Tu, Liping
name: Xu, Jiatuo
name: Yin, Xiuqi
Publisher: name: Taylor & Francis
Year: 2022
Subjects: subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Cancer

description: This study aimed to explore the parameters of the independent predictive characteristic pulse diagram of polycystic ovary syndrome (PCOS) by analysing the pulse characteristics between healthy women and the PCOS group. A total of 278 women were recruited for this study. Pulse wave parameters were collected by the pulse spectrum analyser. The single-factor analysis of the pulse diagram parameters was used to identify significant indicators, and the logistic regression analysis was carried out on the above indicators with statistical differences to obtain independent predictors. According to the single-factor and multi-factor analyses, h<sub>1</sub>, h<sub>5</sub>, h<sub>3</sub>/h<sub>1</sub>, t, t<sub>1</sub> and t<sub>5</sub> were independent predictors of PCOS diagnosis. The results showed that PCOS patients had a faster heart rate, decreased left ventricular systolic function and decreased aortic compliance compared to healthy individuals. These findings suggested that the characteristic pulse parameters screened out are valuable for the diagnosis of PCOS.IMPACT STATEMENT<b>What is already known on this subject?</b> Polycystic ovary syndrome (PCOS) is a common gynecological reproductive endocrine and metabolic disease, which is significant for screening and early intervention in the disease. However, due to the lack of pulse’s diagnostic evidence of PCOS, there is still an unknown area in the research on the correlation between PCOS and pulse diagram parameters.<b>What do the results of this study add?</b> This study fills the gap between the research on PCOS and pulse wave. The study also shows that the pulse characteristic parameters h<sub>1</sub>, h<sub>5</sub>, h<sub>3</sub>/h<sub>1</sub>, t, t<sub>1</sub>, and t<sub>5</sub> are independent predictors of PCOS, suggesting that the patients have a higher heart rate, lower ventricular systolic function, and aortic compliance than healthy individuals.<b>What are the implications of these findings for clinical practice and/or further research?</b> Prominent risk factors for pulse parameters associated with the occurrence of PCOS facilitate early screening and diagnosis of the disease. The objectification of pulse diagnosis helps to establish a health management model, which can be used for the accurate assessment and treatment of PCOS by traditional Chinese medicine (TCM). It provides a clinical reference for the study of pulse diagnosis objectification. <b>What is already known on this subject?</b> Polycystic ovary syndrome (PCOS) is a common gynecological reproductive endocrine and metabolic disease, which is significant for screening and early intervention in the disease. However, due to the lack of pulse’s diagnostic evidence of PCOS, there is still an unknown area in the research on the correlation between PCOS and pulse diagram parameters. <b>What do the results of this study add?</b> This study fills the gap between the research on PCOS and pulse wave. The study also shows that the pulse characteristic parameters h<sub>1</sub>, h<sub>5</sub>, h<sub>3</sub>/h<sub>1</sub>, t, t<sub>1</sub>, and t<sub>5</sub> are independent predictors of PCOS, suggesting that the patients have a higher heart rate, lower ventricular systolic function, and aortic compliance than healthy individuals. <b>What are the implications of these findings for clinical practice and/or further research?</b> Prominent risk factors for pulse parameters associated with the occurrence of PCOS facilitate early screening and diagnosis of the disease. The objectification of pulse diagnosis helps to establish a health management model, which can be used for the accurate assessment and treatment of PCOS by traditional Chinese medicine (TCM). It provides a clinical reference for the study of pulse diagnosis objectification.