A new model for predicting the occurrence of polycystic ovary syndrome: Based on data of tongue and pulse.

Background and objective: Polycystic ovary syndrome is one of the most common types of endocrine and metabolic diseases in women of reproductive age that needs to be screened early and assessed non-invasively. The objective of the current study was to develop prediction models for polycystic ovary syndrome based on data of tongue and pulse using machine learning techniques. Methods: A dataset of 285 polycystic ovary syndrome patients and 201 healthy women were investigated to identify the significant tongue and pulse parameters for predicting polycystic ovary syndrome. In this study, feature selection was performed using least absolute shrinkage and selection operator regression. Several machine learning algorithms (multilayer perceptron classifier, eXtreme gradient boosting classifier, and support vector machine) were used to construct the classification models to predict the presence of polycystic ovary syndrome. Results: TB-L, TB-a, TB-b, TC-L, TC-a, h3, and h4/h1 in tongue and pulse parameters were statistically associated with polycystic ovary syndrome presence. Among the several machine learning techniques, the support vector machine model was optimal for the comprehensive evaluation of this dataset and deduced the area under the receiver operating characteristic curve, DeLong test, calibration curve, and decision curve analysis. Conclusion: The machine learning model with tongue and pulse factors can predict the existence of polycystic ovary syndrome precisely.

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

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 STATEMENTWhat 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.

Manual acupuncture for the infertile female with polycystic ovary syndrome (PCOS): study protocol for a randomized sham-controlled trial.

BACKGROUND: Polycystic ovary syndrome (PCOS) is one of the most common endocrine diseases for women. Acupuncture is widely used for the infertile female because of it is non-invasive and has fewer side effects, but the powerful evidence for the clinic is still insufficient. Our study intends to explore the effect of manual acupuncture (MA) in the infertile female with PCOS. METHODS: This study is a randomized, sham-controlled, patient-and assessor-blinded trial and aims to evaluate the effect of MA in women with PCOS and infertility. We will recruit 86 women aged 20-40 years with a diagnosis of infertility with PCOS. Participants will be randomly allocated in a 1:1 ratio to the MA group and the sham acupuncture (SA) group. Both groups will receive real herbal medicine treatment as a basic treatment twice a day for three menstrual cycles, the MA group receive real acupuncture treatment and the SA group received placebo acupuncture treatment (non-penetrating). All patients will receive acupuncture treatment twice per week for three menstrual cycles. The primary outcome is pregnancy rate and secondary outcomes include ovulation rate, sex hormones, insulin resistance index (IRI), PCOS symptoms, and Traditional Chinese Medicine (TCM) syndrome scores. Outcome measures will be collected at baseline, each menstrual cycle, the end of treatments, and six months after the last acupuncture treatment. The present protocol followed the SPIRIT guidelines and fulfilled the SPIRIT checklist. DISCUSSION: This study will be conducted to compare the efficacy of MA versus SA. This trial will help to evaluate whether MA is effective in increasing pregnancy and ovulation rates of the infertile female with polycystic ovary syndrome. TRIAL REGISTRATION: Chinese Clinical Trial Registry, ChiCTR1800014997 . Registered on 27 February 2018.

[Effect of application of acupuncture-anesthetic composite anesthesia on hysteroscopic surgery: a clinical study].

OBJECTIVE: To observe the analgesic effect and safety of acupuncture-anesthetic composite anesthesia (AACA) in hysteroscopic surgery. METHODS: Totally 93 patients undergoing hysteroscopic surgery were randomly assigned to the intravenous anesthesia group (A group, 30 cases), the AACA group (B group, 32 cases), and the acupuncture combined with intravenous anesthesia group (C group, 31 cases). Patients in Group A were anesthetized by sufentanil combined propofol. Those in Group B were anesthetized by sufentanil combined acupuncture. Those in Group C were anesthetized by sufentanil, propofol combined acupuncture. Yinlian and Ququan (LR8) were needled for patients in Group B and C. The peri-operative mean arterial pressure (MAP), heart rate (HR), and oxygen saturation (SpO2), the surgical time, the recovery time, the sufentanil and propofol dosages, adverse anesthesia reactions were observed. Meanwhile, the OAA/S score, Ramsay sedation score, and Visual Analogue Score (VAS) were also measured. RESULTS: Compared with Group A and C, patients in Group B were awake, with obvious increased OAA/S score (P < 0.01). Ramsay sedation score was significantly lower (P < 0.01).The MAP and HR were elevated (P < 0.05). The patient case of SpO2 less than 85% during the operation decreased (P < 0.05). The incidence of postoperative dizziness was reduced (P < 0.05). Compared with Group A, the propofol consumption decreased in Group C (P < 0.05). There was no statistical difference in the operation time, the sufentanil dosage, VAS score, the incidence of postoperative nause- a and vomiting among the three groups (P > 0.05). CONCLUSIONS: The patients were awake in AACA. The intraoperative sedation was better than that obtained by intravenous anesthesia. But the analgesic effect was similar to that obtained by intravenous anesthesia.

[Effect of transcutaneous electrical stimulation of Zusanli (ST 36) and Liangqiu (ST 34) combined with general anesthesia on pain and gastrointestinal symptoms in patients undergoing gynecological laparoscopic operation].

OBJECTIVE: To observe the effects of transcutaneous acupoint electrical stimulation (TAES) combined with general anesthesia (acupuncture analgesia combined with general anesthesia) on postoperative pain, nausea and vomiting and exhausted defecation symptoms in patients undergoing gynecological laparoscopic operation. METHODS: Sixty patients with gynecological laparoscopic operation were randomly divided into TAES group and control group, with 30 cases in each group. Patients of the control group received simple general anesthesia and those of the TAES group were treated with general anesthesia and TAES of bilateral Zusanli (ST 36) and Liangqiu (ST 34) . Visual Analogue Scale (VAS) was used for measuring the patients' pain reaction at 8 h, 24 h and 72 h after surgery. Symptoms of patients' nausea and vomiting, post-operation exhaust and defecation time were recorded after operation. RESULTS: The VAS scores at time-points of 8 h, 24 h and 72 h and nausea level in the TAES group were significantly lower than those of the control group (P < 0.01, P < 0.05). The vomiting severity of the TAES group was also relatively lower in comparison with the control group, but without significant difference between the two groups (P > 0.05). The post-operation exhaust and defecation time of patients in the TAES group apparently appeared earlier than those of patients in the control group (P < 0.01). CONCLUSION: TAES combined with general anesthesia is effective in reducing post-operative pain and nausea, and improving gastrointestinal function in patients undergoing laparoscopic operation.