1.Protective Effect of Yulangsan Polysaccharide on Liver Injury Induced by Cyclophosphamide in Mice
Yuan LIANG ; Tengyun LONG ; Hongxia CHEN ; Xinwen LIU ; Renbin HUANG ; Yang JIAO
China Pharmacist 2014;(11):1800-1803
Objective:To observe the protective effect of Yulangsan polysaccharide ( YLSP) on liver injury induced by cyclophos-phamide(CTX) in mice. Methods:Liver injury induced by CTX in mice was used as the animal model and the mice were randomly di-vided into the normal group, CTX model group, biphenyldicarboxylate ( BPDC) group, YLSP group respectively with high, medium and low dose. Except the normal group, the other groups were injected with CTX, i. p. , for 7 days to make the model. Then the ani-mals in the YLSP groups were intragastrically administered with YLSP for 7 days. The activities of alanine aminotransferase( ALT) , as-partate aminotransferase( AST) in serum, malondialdehyde( MDA) , superoxide dismutase( SOD) , glutathione( GSH) and glutathione peroxidase ( GSH-Px) in liver tissue were investigated. Hematoxylin and eosin ( HE) stain was used to study the changes in hepatic tissue of the pathological mice. Results:Compared with the model group, YLSP could obviously reduce the activities of ALT, AST and the content of MDA, and increase the content of GSH, SOD and GSH-Px (P<0. 05 or P<0. 01). HE staining showed that YLSP had significant protective effect on liver injury induced by CTX. Conclusion:YLSP has protective effect on liver injury induced by CTX.
2.Quality Assessment for Meta-analysis on Prevention and Treatment of Coronary Artery Disease in China
Yan LUO ; Qin LIU ; Chengfeng DU ; Hongxia LONG ; Fan WANG ; Wei ZHU ; Min ZHOU ; Jin XI ; Shudan LIU ; Yi WEN
Chinese Circulation Journal 2014;(12):979-982
Objective: To assess the quality for meta-analysis on prevention and treatment of coronary artery disease (CAD) in China.
Methods: We systemically searched 4 Chinese databases of VIP, CNKI, CBM and Wan Fang for their meta-analysis on CAD prevention and treatment from 1987-01 to 2013-10. According to inclusion and exclusion criteria, 2 researchers independently screened and cross-checked all the literatures. The qualities of methodology and report were evaluated by R-AMSTAR and PRISMA scales.
Results: A total of 201 literatures were enrolled for our study. The average score of methodology quality was (24.65±3.97), no literature met all required items, and the major problems were as lack of“a priori design”, insufifcient and bias of data selection combining inappropriate data synthesis. The average score of report quality was (17.20 ± 2.90), no literature met all 27 required items, and the major problems were as incomplete report of abstract, objective, protocol and registration, incomplete data collection/analysis, using and publishing bias information, incomplete quality assessment.
Conclusion: Both of methodology and report of meta-analysis for CAD prevention and treatment have quality problems at different levels, further improvement should be expected.
3.Clinical effect of hierarchical care model appliedin pediatric ward
Chunxia WANG ; Bixia LONG ; Hongxia XING
Journal of Clinical Medicine in Practice 2017;21(6):159-161
Objective To investigate effect of hierarchical care model applied in pediatric ward.Methods Hierarchical care model was applied from June 2015,and nursing quality before and after the implementation of hierarchical care model was compared.Accidental rate,nursing errors incidence and prevalence of red buttocks were compared.Results After hierarchical model,ward management,nursing instruments,disinfection and isolation,intensive care,primary care scores,primary care nursing theory and operation assessment score,specialist nursing theory and operation assessment scores were significantly higher than the implementation of hierarchical care before (P < 0.05).After the hierarchical model of care,no accidents and nursing errors occurred,the red buttocks rate was 1.07 percent,which were significantly less than hierarchical care before (P < 0.05).Conclusion Hierarchical model of care can effectively reduce the occurrence of accidents care,and error events,and help to improve work ability and management level of nursing department.
4.Clinical effect of hierarchical care model appliedin pediatric ward
Chunxia WANG ; Bixia LONG ; Hongxia XING
Journal of Clinical Medicine in Practice 2017;21(6):159-161
Objective To investigate effect of hierarchical care model applied in pediatric ward.Methods Hierarchical care model was applied from June 2015,and nursing quality before and after the implementation of hierarchical care model was compared.Accidental rate,nursing errors incidence and prevalence of red buttocks were compared.Results After hierarchical model,ward management,nursing instruments,disinfection and isolation,intensive care,primary care scores,primary care nursing theory and operation assessment score,specialist nursing theory and operation assessment scores were significantly higher than the implementation of hierarchical care before (P < 0.05).After the hierarchical model of care,no accidents and nursing errors occurred,the red buttocks rate was 1.07 percent,which were significantly less than hierarchical care before (P < 0.05).Conclusion Hierarchical model of care can effectively reduce the occurrence of accidents care,and error events,and help to improve work ability and management level of nursing department.
5.Clinical efficacy of paroxetine combined with olanzapine among Chinese patients with depression complicated with sleep disorders:a Meta-analysis
Hongxia ZUO ; Yufang KE ; Long WANG ; Chao ZHANG
Chinese Journal of Pharmacoepidemiology 2024;33(4):422-440
Objective To systematically review the clinical efficacy of paroxetine plus olanzapine versus paroxetine alone among depression complicated with sleep disorder patients in China.Methods PubMed,Embase,Cochrane Library,CINAHL,SinoMed,CNKI,VIP,WanFang Data databases,SUMsearch and Google search engine were electronically searched to collect randomized controlled trials(RCTs)of paroxetine plus olanzapine versus paroxetine in the treatment of depression complicated with sleep disorder Chinese patients from inception to April 3,2023.Two researchers independently screened the literature,extracted data and evaluated the risk of bias of the included studies,and the Meta-analysis was then performed by using RevMan 5.3 software.Results A total of 70 RCTs involving 5 683 patients were included.The results of Meta-analysis showed that:(1)the total effective rate in experimental group was significantly higher than that of the control group(OR=5.98,95%CI 4.51 to 7.94,P<0.001);(2)Pittsburgh sleep quality index scores after treatment in the first month(MD=-2.81,95%CI-3.24 to-2.38,P<0.001),in 2 months(MD=-2.41,95%CI-3.13 to-1.70,P<0.001),in 3 months(MD=-2.80,95%CI-3.18 to-2.42,P<0.001)and in 6 months(MD=-1.65,95%CI-1.83 to-1.48,P<0.001)in experimental group were significantly lower than the control group;(3)Hamilton depression scale scores after treatment in the first month(MD=-5.79,95%CI-6.63 to-4.95,P<0.001),in 2 months(MD=-4.33,95%CI-5.45 to-3.21,P<0.001),in 3 months(MD=-3.76,95%CI-4.17 to-3.34,P<0.001)and in 6 months(MD=-3.38,95%CI-3.60 to-3.15,P<0.001)in experimental group were significantly lower than the control group;(4)Hamilton anxiety scale scores in experimental group were significantly lower than the control group(MD=-3.47,95%CI-3.78 to-3.16,P<0.001).Conclusion Current evidence shows that,compared with the paroxetine alone in the treatment of depression complicated with sleep disorder patients in China,paroxetine plus olanzapine can effectively increase patients'total effective rate of clinical treatment,improve the sleep quality and depression symptoms in 1 month,2 months,3 months and 6 months after treatment,and also reduce patients'anxiety.Due to limited quality and quantity of the included studies,more high-quality studies are required to verify above conclusions.
6.Epidemiological characteristics and nuclear acid detection of severe fever with thrombocytopenia syndrome in Shiyan in 2011 - 2022
Yufa MEI ; Long CUI ; Qiang HUANG ; Hongxia CHEN
Journal of Public Health and Preventive Medicine 2024;35(5):101-104
Objective To analyze the monitoring results of severe fever with thrombocytopenia syndrome (SFTS) in Shiyan, Hubei province, and to provide a scientific basis for the prevention and control of SFTS. Methods Descriptive epidemiological analysis was conducted on the surveillance data of SFTS, and real-time PCR was performed for detecting SFTSV RNA. Results A total of 54 laboratory-confirmed cases of SFTS were reported in Shiyan from 2011 to 2022, including 5 deaths (9.26%). The cases mainly occurred in March to October, with a peak in April to August (85.18%). People over 50 years old were the high-risk group (94.44%), and farmers were the high-risk occupation (92.59%). The male to female sex ratio was 0.64:1. The three northern counties (Danjiangkou City, Yunyang District, and Yunxi County) were high-incidence areas (90.74%). There was no statistical difference in the positive rates of sampling between within 7 days and 8-11 days after onset (66.67% vs. 57.14%) (Fisher's precision probability test , P=0.674 ). Conclusion The incidence of SFTS in Shiyan is mainly sporadic, dominated by middle-aged and elderly people and farmers, and shows obvious seasonal and regional characteristics . It is necessary to strengthen vector management, health education, SFTS case reporting and sample collection, and inspection management of high-risk groups, and increase prevention and control efforts in the three northern counties of Shiyan.
7.Early prediction of severe acute pancreatitis based on improved machine learning models
Long LI ; Liangyu YIN ; Feifei CHONG ; Ning TONG ; Na LI ; Jie LIU ; Xiangjiang YU ; Yaoli WANG ; Hongxia XU
Journal of Army Medical University 2024;46(7):753-759
Objective To establish an early prediction model for the diagnosis of severe acute pancreatitis based on the improved machine learning models,and to analyze its clinical value.Methods A case-control study was conducted on 352 patients with acute pancreatitis admitted to the Gastroenterology and Hepatobiliary Surgery Departments of the Army Medical Center of PLA and Emergency and Critical Care Medicine Department of No.945 Hospital of Joint Logistics Support Force of PLA from January 2014 to August 2023.According to the severity of the disease,the patients were divided into the severe group(n=88)and the non-severe group(n=264).The RUSBoost model and improved Archimead optimization algorithm was used to analyze 39 routine laboratory biochemical indicators within 48 h after admission to construct an early diagnosis and prediction model for severe acute pancreatitis.The task of feature screening and hyperparameter optimization was completed simultaneously.The ReliefF algorithm feature importance rank and multivariate logistic analysis were used to analyze the value of the selected features.Results In the training set,the area under curve(AUC)of the improved machine learning model was 0.922.In the testing set,the AUC of the improved machine learning model reached 0.888.The 4 key features of predicting severe acute pancreatitis based on the improved Archimedes optimization algorithm were C-reactive protein,blood chlorine,blood magnesium and fibrinogen level,which were consistent with the results of ReliefF algorithm feature importance ranking and multivariate logistic analysis.Conclusion The application of improved machine learning model analyzing the laboratory examination results can help to early predict the occurrence of severe acute pancreatitis.