Parameter study on characteristic pulse diagram of polycystic ovary syndrome based on logistic regression analysis

Abstract

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, h₁, h₅, h₃/h₁, t, t₁ and t₅ 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

• What is already known on this subject? 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.

• What do the results of this study add? This study fills the gap between the research on PCOS and pulse wave. The study also shows that the pulse characteristic parameters h₁, h₅, h₃/h₁, t, t₁, and t₅ are independent predictors of PCOS, suggesting that the patients have a higher heart rate, lower ventricular systolic function, and aortic compliance than healthy individuals.

• What are the implications of these findings for clinical practice and/or further research? 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.

Keywords:

• Polycystic ovary syndrome
• pulse characteristics
• traditional Chinese medicine
• logistic regression analysis
• diagnosis
• cardiovascular risk

Ethics approval

This study was approved by the Medical Ethics Committee of Shuguang Hospital affiliated with the Shanghai University of TCM (authorization no. 2018-626-55-01) and was conducted in accordance with the Declaration of Helsinki.

Author contributions

Investigation: Weiying Wang, Weiwei Zeng, Xinmin Chen. Methodology: Xiuqi Yin, Jiatuo Xu. Analysis: Liping Tu, Weiying wang. Resources: Weiwei Zeng, Xiuqi Yin, Xiatuo Xu. Supervision: Liping Tu. Writing-original draft: Weiying Wang, Weiwei Zeng. Writing-review and editing: Weiying Wang, Weiwei Zeng, Xinmin Chen. All authors have read and approved the manuscript.

Disclosure statement

The authors declare that they have no conflicts of interest.

Data availability

The datasets used and/or analysed during the current study are available from the corresponding author upon reasonable request.

Additional information

Funding

This study was funded by National Natural Science Foundation of China (no. 82004398).

This study was funded by the National Natural Science Foundation of China (no. 82004398).