1.Effect of levonorgestrel-releasing intrauterine system in the treatment of adenomyosis
Shuming HE ; Mingxiu WEI ; Yanhua HAN ; Lihong HE
Chinese Journal of Obstetrics and Gynecology 2001;0(08):-
Objective To assess the clinical efficacy of levonorgestrel-releasing intrauterine system(LNG-IUS) in the treatment of adenomyosis. Methods Forty-two patients with adenomyosis diagnosed by clinical symptoms, MRI, laparoscopy and/or chromatic colour type-B ultrasound were treated with LNG-IUS, and the menstrual blood volume, severity of dysmenorrhea and uterine volume were observed three months later. Results After 3 month treatment of LNG-IUS, the menstrual blood volume reduced significantly to (27?11)% of that before treatment. The uterine volume was decreased from (143?33) cm 3 to (115?22) cm 3( P
2.Mechanism of Xuanfu Daizhetang in Alleviating Allergic Asthma by Inhibiting Secretion of Inflammatory Factors
Nannan CHAI ; Xiaoyi LI ; Mingxiu LIU ; Jing GUO ; Xingna PU ; Hongping HE ; Yanping LI
Chinese Journal of Experimental Traditional Medical Formulae 2023;29(17):26-33
ObjectiveTo investigate the regulatory effects of Xuanfu Daizhetang on a mouse model of allergic asthma induced by ovalbumin (OVA). MethodSixty female BALB/c mice (6-8 weeks old, SPF) were randomly divided into groups. Ten mice were assigned to the normal group and given 0.2 mL of saline, while the remaining groups received intraperitoneal injections of Al(OH)3 at 5 g·L-1 and OVA at 1 g·L-1. The mice were divided into normal group (10 mL·kg-1 saline), OVA model group (10 mL·kg-1 saline), dexamethasone group (OVA+DEX, 1 mg·kg-1), OVA+ low-dose Xuanfu Daizhetang group (OVA+XL, 7.065 g·kg-1), OVA+ medium-dose Xuanfu Daizhetang group (OVA+XM, 14.13 g·kg-1), and OVA+ high-dose Xuanfu Daizhetang group (OVA+XH, 28.26 g·kg-1). An OVA-induced asthma model was established in mice. Hematoxylin-eosin (HE) and periodic acid-Schiff (PAS) staining methods were used to observe bronchial tissue pathological changes. Enzyme-linked immunosorbent assay (ELISA) was performed to measure the levels of immunoglobulin E (IgE), interleukin-4 (IL-4), IL-5, IL-13, IL-17A, and γ interferon (IFN-γ) in bronchoalveolar lavage fluid. Western blot was used to detect the phosphorylation of extracellular signal-regulated kinase (ERK), p38 mitogen-activated protein kinase (MAPK), and c-Jun N-terminal kinase (JNK) proteins in lung tissue. ResultCompared with the normal group, the OVA model group showed increased inflammatory cell infiltration in mouse alveoli, elevated levels of IL-4, IL-5, IL-13, IL-17A, IFN-γ in bronchoalveolar lavage fluid, and IgE in serum (P<0.05, P<0.01), and promoted phosphorylation of MAPK signaling pathway-related proteins. Compared with the model group, the OVA+XL, OVA+XM, and OVA+XH groups showed reduced inflammatory cell infiltration in mouse alveoli, decreased levels of IL-4, IL-5, IL-13, IL-17A, IFN-γ in bronchoalveolar lavage fluid, and IgE in serum (P<0.05, P<0.01), and inhibited phosphorylation of MAPK signaling pathway-related proteins. ConclusionThe results of this study suggest that Xuanfu Daizhetang has potential anti-allergic asthma activity, providing a theoretical basis for its future clinical application.
3.Analysis on the current monitoring and management of blood donation adverse reaction in Chongqing
Binglingyi HU ; Junhong YANG ; Zaiyun CHEN ; Mingxiu WANG ; Chengyi HU ; Congmei ZHANG ; Jie SHI ; Xia HUANG ; Tao HE
Chinese Journal of Blood Transfusion 2021;34(12):1282-1285
【Objective】 To investigate the management of adverse reactions to blood donation(ARBD) in blood services, so as to promote the surveillance of ARBD and improve the quality of blood donation service in Chongqing. 【Methods】 A questionnaire, involving the staff and facilities in blood donation sites as well as the prevention and treatment, the record and report, the following up and data related to ARBD was developed by Chongqing Society of Blood Transfusion in February 2019, and was issued to 18 blood services(1 blood center and its sub-center, 6 central blood stations and 11 hospital blood banks) in the Chongqing via email. The questionnaire was filled in and submitted before March 31 by management personnel participating in the investigation, and the data was collected, collated, revised and analyzed by Excel 2011. 【Results】 A total 19 questionnaires were collected, with the valid rate at 100%(19/19). 78.95%(15/19) of the blood services met the requirements of medical personnel allocation(>6 medical staff) when the number of daily blood collection was more than 60, and 100%(19/19)met the requirements of medical personnel allocation(2 to 6 medical staff) when the number of daily blood collection was less than 60. 89.47%(17/19) of the blood services were equipped with epinephrine hydrochloride, and 84.21%(16/19) with dexamethasone(an anti-allergic drug). There were significant differences in the allocation of other types of drugs. 100.00%(19/19) of the blood services formulated prevention and treatment measures concerning ARBD. In 2019, the incidence of ARBD in Chongqing was reported to be 0.54%(1 958 / 359 871), with the highestas [1.35%(223/16 543)] in subcenters and the lowest [0.32%(179/56 299)] in central blood centers (P<0.05). There was statistical significances in the incidences of ARBD reported by different blood stations(P<0.05). 【Conclusion】 The monitoring and management of ARBD among blood services in Chongqing should be further standardized in terms of staffing allocation, emergency drugs allocation and reporting, so as to gradually realize regional homogenization and ensure blood safety.
4.Application of Adverse Drug Reaction of Data Mining in Pharmacovigilance
Ruishan ZHOU ; Peiwen LU ; Junheng CHEN ; Yiyang SHI ; Mingxiu HE ; Fangfang HAN ; Yongming CAI
Chinese Journal of Modern Applied Pharmacy 2024;41(6):864-870
With the development of information technology, the massive growth of pharmaceutical electronic data and the significant increase in the reports of drug adverse event reports have brought great challenges to pharmacovigilance research. Data mining techniques can automatically extract the risk signals of adverse drug reaction from real-world data. Therefore, efficient data mining of massive adverse event reporting is a necessary measure to realize the automatic detection of adverse drug reactions. By introducing the current major large-scale adverse drug event reporting databases and related data mining methods, this study reviews the application and limitations of adverse drug reaction data mining technology in pharmacovigilance, which provides reference for pharmacovigilance-related institutions and researchers.