1.Clinical study of mifepristone with or without tamoxifen in the treatment of leiomyoma
Chinese Journal of Practical Gynecology and Obstetrics 2001;17(3):145-146
ObjectiveTo investigate the efficacy of mifepristone with or without tamoxifen in the treatment of leiomyomas. Methods173 symptomatic patients with leiomyomas were divided into 2 groups randomly. Group A (88cases) received mifepristone 25mg per day;Group B(85 cases) received mifepristone per day combined with tamoxifen l0mg twice a day from the first day of menstrul cycle for three months. Leiomyoma and uterine size were measured by B ultrasound, the changes of endometrium were examined pathologically. Estrogen and progesterone levels, hemoglobin and liver renal function were all measured, meanwhile, adverse effects of drugs were assessed. ResultsAll the patients in the 2 groups were amenorrhea with increased hemoglobin, the level of estrogen and progesterone remained in the early stage of proliferation phase. The uterus and leiomyoma sizes in two groups both reduced, but those in group B reduced less significantly(P<0.01). Adverse effects showed similarity and needed no special control. ConclusionsBoth mifepristone and mifepristone combined with tamoxifen show good efficacy in the treatment of leiomyoma, but mifepristone combined with tamoxifen is more suitable.
2.Analysis of the status and influencing factors of the occurrence of symptom clusters in patients with knee osteoarthritis after total knee arthroplasty
Mengke ZHANG ; Minghui WEI ; Yuan ZHANG ; Jiaxue LI ; Guoliang HOU ; Jiaju ZHAO ; Yang WANG ; Lingyun SHI
Chinese Journal of Practical Nursing 2024;40(29):2271-2279
Objective:To investigate the prevalence and potential classification of symptoms after total knee arthroplasty (TKA) in patients with knee osteoarthritis (KOA), and to analyze the differences in demographic characteristics and surgical data, compare the different potential subgroups, in order to provide a basis for clinical symptom management plans.Methods:This study was a multicenter cross-sectional survey. Through convenience sampling, patients with KOA undergoing TKA in the orthopaedic wards of four tertiary hospitals in Urumqi were selected as the study from November 2023 to February 2024. The study subjects were surveyed using a general information questionnaire, the Visual Analogue Scale (VAS) for pain, the Hospital Anxiety and Depression Scale (HADS), and the Pitts Burgh Sleep Quality Index (PSQI), and the degree of postoperative joint swelling and size of ecchymosis were measured. Latent class analysis was performed using Mplus 8.3 software, and Logistic regression analysis was conducted using SPSS 26.0 software to explore the influencing factors of the latent classes.Results:Totally 337 effective questionnaires were collected, and the recovery rate was 94.7% (337/356), and the age distribution ranged from 47 to 85 (65.19 ± 6.99) years old, with 90 (26.7%) males and 247 (73.3%) females. There were 92.3% (311/337) of TKA patients with postoperative symptom cluster. The symptom cluster of patients with TKA were identified as 3 classes. They were named as "high level pain-psychological disorder group"(12.5%, 39/311), "high bruises-moderate psychological disorders group"(25.4%, 79/311) and "low symptom burden group" (62.1%, 193/311). The results of the unordered multi-class logistic regression analysis showed that age 45-59 years ( OR = 2.367), body mass index 24.0-27.9 kg/m 2 ( OR = 0.207), living with children/parents ( OR = 6.473), and this being the second joint surgery ( OR = 0.040) were the factors influencing the "high level pain-psychological disorders group" (all P<0.05). The factors influencing the "high bruises-moderate psychological disorders group" were living with children/parents ( OR = 4.023), comorbid chronic diseases ( OR = 1.979, 3.842), and intraoperative blood loss ≤100 ml ( OR = 2.342) (all P<0.05). Conclusions:The postoperative symptom cluster of TKA patients have a relatively high incidence, and there is heterogeneity within the symptom cluster, so nurses need to identify at-risk patients early according to the characteristics of different categories and give interventions.
3.Metabolomic characteristics of amniotic fluid in fetal growth restriction
Cheng HUANG ; Xiaoying LIN ; Xiaojuan FU ; Jiaxue WEI
Chinese Journal of Perinatal Medicine 2024;27(11):923-931
Objective:To investigate the metabolomic characteristics of amniotic fluid in pregnant women with fetal growth restriction (FGR) by targeted metabolomics, identify differential metabolites with biomarker potential, analyze metabolic pathways, and provide metabolic clues for the study of FGR pathogenesis.Methods:From June 2020 to November 2023, amniotic fluid samples were prospectively collected from 19 FGR fetuses (FGR group) and 30 normal-weight fetuses (control group) at the Affiliated Guangdong Second Provincial General Hospital of Jinan University. Targeted metabolomic analysis of amniotic fluid samples (taken at 16-32 gestational weeks) was performed using liquid chromatography- tandem mass spectrometry. Cluster analysis and multivariate statistical analysis were used to analyze the differences in metabolic profiles between the FGR and control groups. Metabolic pathway enrichment analysis was conducted using metabolomics databases, and potential biomarkers were identified using receiver operating characteristic (ROC) curve analysis.Results:A total of 16 differential metabolites were identified between the FGR and control groups, including gallic acid, 6-hydroxy-nicotinic-acid, 2-methyl-valeric-acid, undecanoic acid, trimethylamine, γ-linolenic acid, decanoylcarnitine, α-linolenic acid, 4-ethyl-caprylic-acid, oleic acid, O-hexyl carnitine, L-theanine,turanose, 4-hydrocinnamic acid, L-aspartic acid, and 3-methyl-valeric-acid. These metabolites were involved in metabolic pathways such as unsaturated fatty acid biosynthesis, niacin and nicotinamide metabolism, carbon metabolism, and fatty acid biosynthesis. ROC curve analysis of the 16 differential metabolites revealed that nine had an area under the ROC curve (AUC)>0.7, including oleic acid (AUC= 0.851, 95% CI: 0.737-0.965), α-linolenic acid (AUC=0.798, 95% CI: 0.664-0.933), 4-hydrocinnamic acid (AUC=0.756, 95% CI: 0.619-0.895), L-aspartic acid (AUC=0.747, 95% CI: 0.595-0.900), 4-ethyl-caprylic- acid (AUC=0.746, 95% CI: 0.610-0.881), O-hexyl carnitine (AUC=0.746, 95% CI: 0.610-0.881), decanoylcarnitine (AUC=0.735, 95% CI: 0.589-0.881), turanose (AUC=0.735, 95% CI: 0.589-0.882), and 2-methyl-valeric-acid (AUC=0.725, 95% CI: 0.577-0.872), indicating their potential as biomarkers. Conclusions:FGR fetuses exhibit significant differences in metabolites, involving fatty acids and amino acids related to hypoxic stress and inflammatory responses. Oleic acid and other metabolites can serve as potential biomarkers related to the growth and development of FGR fetuses.