Effects of Bushen Yiqi Huoxue Decoction in Treatment of Patients with Diminished Ovarian Reserve: A Randomized Controlled Trial / 中国结合医学杂志

OBJECTIVE@#To explore the therapeutic effect of Bushen Yiqi Huoxue Decoction BYHD) in patients with diminished ovarian reserve (DOR).@*METHODS@#A total of 180 patients with DOR diagnosed from December 2013 to December 2014 were equally assigned into progynova and duphaston (E+D) group, Zuogui Pill group and BYHD group with 60 cases in each by computerized randomization. Patients received E+D, Zuogui Pill or BYHD for 12 months, respectively. Follicle stimulating hormone (FSH), luteinizing hormone (LH), estradiol (E2), anti-Müllerian hormone (AMH), antral follicle count (AFC), ovarian volume, endometrial thickness, and the resistance indices (RIs) of ovarian arteries and uterine arteries were observed before and after treatment.@*RESULTS@#Nine women (4 from the E+D group, 3 from the Zuogui Pill group, and 2 from the BYHD group) withdrew from the study. After 6 months, Zuogui Pill and BYHD significantly decreased FSH and LH and increased endometrial thickness and AMH (all P<0.01). BYHD also resulted in E2 elevation (P<0.05), ovary enlargement (P<0.05), AFC increase (P<0.01), and RI of ovarian arteries decrease (P<0.05). After 12 months, further improvements were observed in the Zuogui Pill and BYHD groups (all P<0.01), but BYHD showed better outcomes, with lower FSH, larger ovaries and a thicker endometrium compared with the Zuogui Pill group (all P<0.01). However, E+D only significantly increased endometrial thickness (P<0.01) and no significant improvements were observed in the RI of uterine arteries in the three groups.@*CONCLUSIONS@#BYHD had a favorable therapeutic effect in patients with DOR by rebalancing hormone levels, promoting ovulation, and repairing the thin endometrium. The combination of tonifying Shen (Kidney), benefiting qi and activating blood circulation may be a promising therapeutic strategy for DOR.

Network Meta-analysis of oral blood-activating and stasis-removing Chinese patent medicines in treatment of hypertensive left ventricular hypertrophy / 中国中药杂志

This study was designed to assess the clinical efficacy of oral blood-activating and stasis-removing Chinese patent medicines in treating hypertensive left ventricular hypertrophy(LVH) based on network Meta-analysis. The clinical randomized controlled trials(RCTs) concerning the treatment of hypertensive LVH with oral blood-activating and stasis-removing Chinese patent medicines were retrieved from CNKI, Wanfang, VIP, SinoMed, PubMed, Web of Science, and Cochrane Library from their inception to September 2021. Two researchers independently completed the literature screening, data extraction, and quality evaluation. The data were then analyzed by RevMan 5.3, Stata 15.1, and ADDIS 1.16.8. Finally, a total of 31 RCTs were included, involving 3 001 patients and four oral blood-activating and stasis-removing Chinese patent medicines. In terms of the alleviation of heart damage, the Chinese patent medicines combined with conventional western medicine groups were superior to the conventional western medicine groups in lo-wering the left ventricular mass index(LVMI). There was no significant difference in LVMI, left ventricular ejection fraction(LVEF), or the ratio of early diastolic peak flow velocity to late diastolic peak flow velocity(E/A) between different Chinese patent medicines combined with conventional western medicine groups. Xinnao Shutong Capsules/Tablets combined with conventional western medicine had the best efficacy in reducing LVMI and elevating LVEF, while Xinkeshu Capsules/Tablets combined with conventional western medicine had the best effect in improving E/A. In the control of blood pressure, when all Chinese patent medicines except for Xinnao Shutong Capsules/Tablets were combined with conventional western medicine, the resulting systolic blood pressure(SBP) and diastolic blood pressure(DBP) were significantly lower than those in the conventional western medicine group. Xinkeshu Capsules/Tablets combined with conventional western medicine produced the best effect in reducing SBP and DBP, followed by Xinnao Shutong Capsules/Tablets. In terms of safety, no serious adverse reactions occurred in all trials. The four oral blood-activating and stasis-removing Chinese patent medicines included in this study exhibited obvious advantages in the treatment of hypertensive LVH when they were combined with conventional western medicine, with the best effects observed in the Xinnao Shutong Capsules/Tablets combined with conventional western medicine group. However, due to the limitation of the quantity and quality of the included articles, the conclusion of this study still needs to be verified by more high-quality, multi-center, and large-sample RCTs.

Efficacy-specific herbal group detection from traditional Chinese medicine prescriptions via hierarchical attentive neural network model.

BACKGROUND: Mining massive prescriptions in Traditional Chinese Medicine (TCM) accumulated in the lengthy period of several thousand years to discover essential herbal groups for distinct efficacies is of significance for TCM modernization, thus starting to draw attentions recently. However, most existing methods for the task treat herbs with different surface forms orthogonally and determine efficacy-specific herbal groups based on the raw frequencies an herbal group occur in a collection of prescriptions. Such methods entirely overlook the fact that prescriptions in TCM are formed empirically by different people at different historical stages, and thus full of herbs with different surface forms expressing the same material, or even noisy and redundant herbs. METHODS: We propose a two-stage approach for efficacy-specific herbal group detection from prescriptions in TCM. For the first stage we devise a hierarchical attentive neural network model to capture essential herbs in a prescription for its efficacy, where herbs are encoded with dense real-valued vectors learned automatically to identify their differences on the semantical level. For the second stage, frequent patterns are mined to discover essential herbal groups for an efficacy from distilled prescriptions obtained in the first stage. RESULTS: We verify the effectiveness of our proposed approach from two aspects, the first one is the ability of the hierarchical attentive neural network model to distill a prescription, and the second one is the accuracy in discovering efficacy-specific herbal groups. CONCLUSION: The experimental results demonstrate that the hierarchical attentive neural network model is capable to capture herbs in a prescription essential to its efficacy, and the distilled prescriptions significantly could improve the performance of efficacy-specific herbal group detection.