1.Niemann-Pick disease type B and heterogeneous manifestations of its liver involvement: A case report
Qiao YANG ; Yi SHEN ; Yue SHI ; Jin WANG ; Fangfang LYU
Journal of Clinical Hepatology 2024;40(2):356-360
This article reports a case with the chief complaint of “hepatosplenomegaly to be investigated” and a confirmed diagnosis of Niemann-Pick disease type B after various tests, and a literature review was conducted to summarize the heterogeneous manifestations of liver involvement in type B Niemann-Pick disease, in order to improve the clinical management of difficult and rare liver diseases.
2.The development of a health-promoting lifestyle scale for patients with polycystic ovary syndrome and the test of its reliability and validity
Ning ZHANG ; Xiaoling SUN ; Jing WANG ; Yingjie WANG ; Haiming YANG ; Shanmei SHEN ; Shan LU ; Caiqi LIU ; Chengguo ZHANG ; Fangfang MENG
Chinese Journal of Nursing 2024;59(4):438-446
Objective To develop a health-promoting lifestyle scale for women with polycystic ovary syndrome(PCOS),and to test its reliability and validity,and preliminarily apply it.Methods Based on the Pender health promotion model,the item pool of the scale was constructed through literature research,semi-structured interviews and group discussions.After 2 rounds of Delphi expert consultation and pre-survey,the initial scale was formed.From April to July 2022,316 patients with PCOS in the health management center,reproductive medicine center and endocrinology department of a tertiary hospital in Nanjing were selected for item analysis,exploratory factor analysis and reliability test,respectively.From August to October 2022,358 PCOS patients were selected for confirmatory factor analysis.From November 2022 to February 2013,294 PCOS patients were selected,and the scale was used to investigate the status of health-promoting lifestyle in PCOS patients.Results The health-promoting lifestyle scale for PCOS patients included 5 dimensions and 33 items.The total content validity index of the scale was 0.942,and the content validity index of each item was 0.810-1.000.5 common factors were extracted by 2 exploratory factor analyses,and the cumulative variance contribution rate was 62.399%.Confirmatory factor analysis showed that the model fit was good.The Cronbach's a coefficient of the total scale was 0.930;the split-half reliability was 0.842;the test-retest reliability was 0.888.The preliminary application results showed that the total score of health-promoting lifestyle in PCOS patients was(96.925±14.273),and the average score of items was(2.937±0.433),which was at a medium level.Conclusion The health-promoting lifestyle scale for PCOS patients has good reliability and validity,which can be used as a tool for medical staff to assess the level of health-promoting lifestyle of PCOS patients,and can help nurses to quickly identify the level and dimensions of health-promoting lifestyle of patients,so as to formulate individualized precise health management plans.
3.Predictive value of systemic immune-inflammation index and NT-proBNP for contrast-induced acute kidney injury in elderly STEMI patients
Guoqi SHEN ; Linsheng WANG ; Xudong ZHANG ; Luhong XU ; Fangfang LI ; Jing ZONG ; Tongda XU ; Wenhua LI
Chinese Journal of Geriatric Heart Brain and Vessel Diseases 2024;26(1):25-29
Objective To investigate the predictive value of systemic immune-inflammation index(SII)and N-terminal pro-brain natriuretic peptide(NT-proBNP)level in elderly patients with acute ST-segment elevation myocardial infarction(STEMI)developing contrast-induced acute kidney injury(CIAKI)after PCI.Methods A total of 1085 elderly STEMI patients undergoing emergency PCI in the Affiliated Hospital of Xuzhou Medical University from January 2018 to March 2023 were consecutively recruited as a training set,and another 287 elderly STEMI pa-tients receiving emergency PCI in the East Branch of the Affiliated Hospital from January 2021 to June 2023 were included as a verification set.According to the diagnostic criteria of CIAKI,they were divided into CIAKI group(n=95)and non-CIAKI group(n=990).Based on the results of restricted cubic spline(RCS)analysis,the patients from the training set were assigned into low-risk subgroup(n=292),moderate-risk group(n=515)and high-risk group(n=278).Multivari-ate logistic regression analysis was used to analyze the independent risk factors of CIAKI in elder-ly STEMI patients after PCI,and ROC curve was plotted to analyze the predictive value of combi-nation of SII and NT-proBNP.The risk of CIAKI was compared among the patients at different risk grades.Results Age,SII,baseline serum creatinine,NT-proBNP,fasting blood glucose and use of diuretics were independent risk factors for CIAKI after primary PCI in elderly STEMI patients(P<0.05,P<0.01).The AUC value of SII combined with NT-proBNP in predicting CIAKI was 0.801(95%CI:0.761-0.842,P<0.01),with a sensitivity of 83.2%and a specificity of 67.5%,both superior to that of SII or NT-proBNP alone.RCS analysis revealed an increased risk of CIAKI at SII ≥1084.97 × 109/L and NT-proBNP ≥296.12 ng/L.The incidence of CIAKI was increased with the increase of risk grades(1.71%vs 6.41%vs 20.50%).Conclusion SII and NT-proBNP are independent risk factors for CIAKI after emergency PCI in elderly STEMI pa-tients.And their combination has better predictive value for CIAKI.
4.Characteristics of the third round of medical education curriculum reforms and enlightenment
Shouhua ZHANG ; Yutong QIN ; Chunji HUANG ; Hongyan ZHANG ; Yuanxu XU ; Fangfang WANG ; Peng SUN ; Juan SHEN ; Geng NI ; Rongyu SHANG
Chinese Journal of Medical Education Research 2024;23(4):438-442
To implement the strategy of healthy China and promote the construction of "new medicine science", it is urgent to focus on new needs and challenges to advance the reform of medical education curricula in China. Using literature research methods, we summarize the process of modern medical education curriculum reforms in the United States, and discuss the main features of the third-round reforms—introducing the concept of value-based medicine, offering health systems science courses, and promoting the curriculum system reform from the perspectives of learning time, curriculum integration, and learning methods. Based on these features, we put forward the enlightenment for the reform of medical education curricula in China.
5.FGF21 regulates liver cell lipid metabolism through the SOCS3/JAK/STAT pathway
Fangfang SHEN ; Feng ZHU ; Ke XU ; Yiqun TENG
China Modern Doctor 2024;62(9):12-16
Objective By knocking down the expression of fibroblast growth factors 21(FGF21)in adipose liver cells,to observe lipid metabolism and to explore the molecular mechanism of FGF21 regulating lipid metabolism in liver cells.Methods By interfering with lentivirus transfection through FGF21,the expression of FGF21 was reduced in HepG2 cells.HepG2 cells were transfected with an empty vector as a control,and were respectively referred to as interference group and control group.Both groups were stimulated with palmitic acid oleic acid to construct non-alcoholic fatty liver disease(NAFLD)cell model.The expression of FGF21 was interfered by lentivirus vector,oil red O staining and spectrophotometric value were measured to observe the lipid deposition in cells.Use Western blot method to detect the changes of suppressor of cytokine signaling 3(SOCS3),JAK2,and STAT3 proteins in fatty liver cells.Results Oil red O staining and absorbance values showed that compared with control group,interference group significantly reduced the lipid droplet content in liver cells;Western blot results showed that the expression levels of suppressor of cytokine signaling 3(SOCS3),Janus kinase 2(JAK2),signal transducer and activator of transcription 3(STAT3),and STAT3 protein were significantly increased in interference group of liver cells.Conclusion In the fatty liver cell model,knocking down FGF21 can improve lipid deposition through liver cells.The mechanism may be through increasing the SOCS3/JAK/STAT pathway,but the specific mechanism of action needs further in-depth research in the future.
6.Association of adverse childhood experiences with cumulative health risk behaviors among college students
ZHANG Fangfang, ZHANG Wencui, YANG Siyi, SHEN Ke, XI Chao
Chinese Journal of School Health 2024;45(11):1560-1564
Objective:
To understand cumulative health risk behaviors among college students and the association with adverse childhood experiences, so as to provide a theoretical basis for the prevention and control of health risk behaviors in this population.
Methods:
From November to December 2022, four universities in Shanghai were selected using convenience sampling, and 3 039 students were selected for a questionnaire survey using random cluster sampling. The questionnaire covered general basic information, adverse childhood experiences and health risk behaviors. A latent class analysis was carried out to explore the latent classes of health risk behaviors among the college students and multivariate Logistic regression was performed to analyze the association between adverse childhood experiences and cumulative health risk behaviors.
Results:
The health risk behaviors of college students were classified into three latent classes:a low risk group (84.60%), a high risk group for smoking and alcohol consumption ( 10.37 %), and an excessive sugar intake group (5.03%). The proportion of three latent classes of health risk behaviors varied significantly by childhood neglect and abuse, family functioning and other adverse childhood experiences ( χ 2=210.67, 106.55, 104.41 , P <0.01). The results of the multiple Logistic regression analysis revealed that childhood neglect and abuse, poor family functioning, and other adversities increased the risk in the high risk group for smoking and alcohol consumption among college students ( OR =6.24, 3.80, 3.68), as well as an childhood neglect and abuse increased the risk of the excessive sugar intake group among college students ( OR =2.18) ( P <0.01).
Conclusions
Adverse childhood experiences are associated with clustered health risk behaviors. Proactive measures should be taken to prevent the transmission of negative childhood experiences, which would contribute to reduce the occurrence of health risk behaviors among college students.
7.Influencing factors for carotid plaque among high-risk populations for stroke
SHEN Fangfang ; LÜ ; Jiashun ; HU Wei ; HANG Yanwen
Journal of Preventive Medicine 2024;36(12):1078-1081
Objective:
To explore the factors affecting carotid plaque formation among high-risk populations for stroke, so as to provide the reference for early intervention for carotid atherosclerosis among the populations.
Methods:
Permanent residents were selected from Minhang District, Shanghai Municipality using the multi-staged cluster random sampling method from April to September 2021. Basic information, family history of stroke and past medical history were collected by the Community and Township Population Screening Scale for Cardiovascular and Cerebrovascular Disease Risk Factors. High-risk populations for stroke were identified according to the Technical Specifications for Stroke Screening and Prevention. Carotid plaque status was assessed using carotid ultrasonography. Factors affecting carotid plaque formation were analyzed using a multivariable logistic regression model.
Results:
Among the 25 666 permanent residents surveyed, 8 459 were identified as high-risk populations for stroke, including 3 362 males and 5 097 females, with a male-to-female ratio of 0.66︰1. The median age was 66.00 (quartile range, 11.00) years. Carotid plaque were detected in 4 305 cases among high-risk population for stroke, accounting for 50.89%. Multivariable logistic regression analysis showed that advanced age (OR=1.052, 95%CI: 1.043-1.061), family history of stroke (OR=1.297, 95%CI: 1.103-1.526), hypertension (OR=1.245, 95%CI: 1.025-1.512) and diabetes (OR=1.439, 95%CI: 1.241-1.669) were associated with a higher risk of carotid plaque formation in male high-risk population for stroke, advanced age (OR=1.058, 95%CI: 1.051-1.066), lack of exercise (OR=1.138, 95%CI: 1.001-1.294), family history of stroke (OR=1.201, 95%CI: 1.062-1.357), significant overweight or obesity (OR=1.269, 95%CI: 1.127-1.430) and hypertension (OR=1.169, 95%CI: 1.003-1.362) were associated with a higher risk of carotid plaque formation in female high-risk population for stroke.
Conclusion
The main influencing factors for carotid plaque formation among high-risk populations for stroke include age, family history of stroke, exercise, significant overweight or obesity, hypertension and diabetes, with gender differences observed.
8.Surveillance of bacterial resistance in tertiary hospitals across China:results of CHINET Antimicrobial Resistance Surveillance Program in 2022
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Wei LI ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Yanyan LIU ; Yong AN
Chinese Journal of Infection and Chemotherapy 2024;24(3):277-286
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5%were gram-positive and 70.5%were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3%,76.7%and 77.9%,respectively.Overall,94.0%of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8%of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2%in the isolates from children and 95.7%in the isolates from adults.The resistance rate to carbapenems was lower than 13.1%in most Enterobacterales species except for Klebsiella,21.7%-23.1%of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1%to 13.3%.The prevalence of meropenem-resistant strains decreased from 23.5%in 2019 to 18.0%in 2022 in Pseudomonas aeruginosa,and decreased from 79.0%in 2019 to 72.5%in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.
9.Changing distribution and resistance profiles of common pathogens isolated from urine in the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Yanming LI ; Mingxiang ZOU ; Wen'en LIU ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2024;24(3):287-299
Objective To investigate the distribution and antimicrobial resistance profiles of the common pathogens isolated from urine from 2015 to 2021 in the CHINET Antimicrobial Resistance Surveillance Program.Methods The bacterial strains were isolated from urine and identified routinely in 51 hospitals across China in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Antimicrobial susceptibility was determined by Kirby-Bauer method,automatic microbiological analysis system and E-test according to the unified protocol.Results A total of 261 893 nonduplicate strains were isolated from urine specimen from 2015 to 2021,of which gram-positive bacteria accounted for 23.8%(62 219/261 893),and gram-negative bacteria 76.2%(199 674/261 893).The most common species were E.coli(46.7%),E.faecium(10.4%),K.pneumoniae(9.8%),E.faecalis(8.7%),P.mirabilis(3.5%),P.aeruginosa(3.4%),SS.agalactiae(2.6%),and E.cloacae(2.1%).The strains were more frequently isolated from inpatients versus outpatients and emergency patients,from females versus males,and from adults versus children.The prevalence of ESBLs-producing strains in E.coli,K.pneumoniae and P.mirabilis was 53.2%,52.8%and 37.0%,respectively.The prevalence of carbapenem-resistant strains in E.coli,K.pneumoniae,P.aeruginosa and A.baumannii was 1.7%,18.5%,16.4%,and 40.3%,respectively.Lower than 10%of the E.faecalis isolates were resistant to ampicillin,nitrofurantoin,linezolid,vancomycin,teicoplanin and fosfomycin.More than 90%of the E.faecium isolates were ressitant to ampicillin,levofloxacin and erythromycin.The percentage of strains resistant to vancomycin,linezolid or teicoplanin was<2%.The E.coli,K.pneumoniae,P.aeruginosa and A.baumannii strains isolated from ICU inpatients showed significantly higher resistance rates than the corresponding strains isolated from outpatients and non-ICU inpatients.Conclusions E.coli,Enterococcus and K.pneumoniae are the most common pathogens in urinary tract infection.The bacterial species and antimicrobial resistance of urinary isolates vary with different populations.More attention should be paid to antimicrobial resistance surveillance and reduce the irrational use of antimicrobial agents.
10.Changing resistance profiles of Enterococcus in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Na CHEN ; Ping JI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WEN ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2024;24(3):300-308
Objective To understand the distribution and changing resistance profiles of clinical isolates of Enterococcus in hospitals across China from 2015 to 2021.Methods Antimicrobial susceptibility testing was conducted for the clinical isolates of Enterococcus according to the unified protocol of CHINET program by automated systems,Kirby-Bauer method,or E-test strip.The results were interpreted according to the Clinical & Laboratory Standards Institute(CLSI)breakpoints in 2021.WHONET 5.6 software was used for statistical analysis.Results A total of 124 565 strains of Enterococcus were isolated during the 7-year period,mainly including Enterococcus faecalis(50.7%)and Enterococcus faecalis(41.5%).The strains were mainly isolated from urinary tract specimens(46.9%±2.6%),and primarily from the patients in the department of internal medicine,surgery and ICU.E.faecium and E.faecalis strains showed low level resistance rate to vancomycin,teicoplanin and linezolid(≤3.6%).The prevalence of vancomycin-resistant E.faecalis and E.faecium was 0.1%and 1.3%,respectively.The prevalence of linezolid-resistant E.faecalis increased from 0.7%in 2015 to 3.4%in 2021,while the prevalence of linezolid-resistant E.faecium was 0.3%.Conclusions The clinical isolates of Enterococcus were still highly susceptible to vancomycin,teicoplanin,and linezolid,evidenced by a low resistance rate.However,the prevalence of linezolid-resistant E.faecalis was increasing during the 7-year period.It is necessary to strengthen antimicrobial resistance surveillance to effectively identify the emergence of antibiotic-resistant bacteria and curb the spread of resistant pathogens.


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