1.Meta-analysis of Kirschner's needle and elastic intramedullary nail fixation for the treatment of proximal humeral fractures in children.
Tao SHI ; Zi-Hang XU ; Xin ZHANG ; Yu-Wang QIAN ; Lei ZHU ; Lai-Fa KONG
China Journal of Orthopaedics and Traumatology 2025;38(6):633-640
OBJECTIVE:
To systematically evaluated clinical efficacy of Kirschner's needle and elastic intramedullary nail fixation in treating proximal humeral fractures in children by Meta-analysis.
METHODS:
Literature on the treatment of proximal humeral fractures in children with Kirschler needles and elastic intramedullary nails published on Wanfang, VIP, CNKI and China biology medicine (CBM), PubMed, Embase, and Web of Science databases were searched from the establishment of databases to October, 2023. Literature extraction, management and data entry were performed by Endnote X9 and Excel 2019, and Meta-analysis was conducted by RevMan 5.3 software. The operation time, hospital stay, fracture healing time, shoulder joint extension range of motion, disabilities of arm, shoulder and hand(DASH) questionnaire score, Neer score or Constant-Murley score and complications were compared between two groups.
RESULTS:
A total of 7 literatures were included, 1 was prospective study, 6 were retrospective cohort study. There were 521 children, 264 children in Kirschner wire group and 257 children in elastic intramedullary nail fixation group. The results of Meta analysis showed operation time[WMD=-12.61, 95%CI(-24.89, -0.33), P=0.04], fracture healing time[WMD=-0.26, 95%CI(-0.49, -0.02), P=0.03], total complication rate [OR=6.83, 95%CI(3.33, 14.01), P<0.001], nail tract infection rate[OR=6.77, 95%CI(1.72, 26.69), P=0.006] and displacement fracture rate[OR=3.57, 95%CI(1.35, 9.44), P=0.01] between two groups had statistically differences(P>0.05), while there were no statistically significant difference in comparison of hospital stay, shoulder joint extension range of motion, DASH, Neer score, Constant-Murley score, and incidence of skin irritation between two groups (P>0.05).
CONCLUSION
Kirschner's needle internal fixation has a short operation time and simple operation, but it has a higher incidence of complications compared with elastic nail internal fixation technique. In terms of efficacy and safety, elastic intramedullary nail fixation is one of the options for the treatment of proximal humeral fractures in children.
Humans
;
Fracture Fixation, Intramedullary/instrumentation*
;
Child
;
Shoulder Fractures/physiopathology*
;
Bone Nails
;
Bone Wires
;
Male
;
Needles
;
Female
2.Distribution and resistance profiles of bacterial strains isolated from cerebrospinal fluid in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Juan MA ; Lixia ZHANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Han SHEN ; Wanqing ZHOU ; Wenen LIU ; Yanming LI ; Yi XIE ; Mei KANG ; Dawen GUO ; Jinying ZHAO ; Zhidong HU ; Jin LI ; Shanmei WANG ; Yafei CHU ; Yunsong YU ; Jie LIN ; Yingchun XU ; Xiaojiang ZHANG ; Jihong LI ; Bin SHAN ; Yan DU ; Ping JI ; Fengbo ZHANG ; Chao ZHUO ; Danhong SU ; Lianhua WEI ; Fengmei ZOU ; Xiaobo MA ; Yanping ZHENG ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Hua YU ; Xiangning HUANG ; Sufang GUO ; Xuesong XU ; Chao YAN ; Fangfang HU ; Yan JIN ; Chunhong SHAO ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Fang DONG ; Zhiyong LÜ ; Lei ZHU ; Jinhua MENG ; Shuping ZHOU ; Yan ZHOU ; Chuanqing WANG ; Pan FU ; Yunjian HU ; Xiaoman AI ; Ziyong SUN ; Zhongju CHEN ; Hong ZHANG ; Chun WANG ; Yuxing NI ; Jingyong SUN ; Kaizhen WEN ; Yirong ZHANG ; Ruyi GUO ; Yan ZHU ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Shifu WANG ; Yunsheng CHEN ; Qing MENG ; Yong ZHAO ; Ping GONG ; Ruizhong WANG ; Hua FANG ; Jilu SHEN ; Jiangshan LIU ; Hongqin GU ; Jiao FENG ; Shunhong XUE ; Bixia YU ; Wen HE ; Lin JIANG ; Longfeng LIAO ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(3):279-289
Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3%)and from outpatient and emergency care patients(4.7%).Overall,19.6%of the isolates were from children and 80.4%were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0%and 32.0%,respectively.Coagulase negative Staphylococcus accounted for 73.0%of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2%in children and 45.6%in adults.The prevalence of MRCNS was 67.6%in adults and 69.5%in children.A small number of vancomycin-resistant Enterococcus faecium(2.2%)and linezolid-resistant Enterococcus faecalis(3.1%)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2%and 76.4%in children,70.5%and 63.5%in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3%and 47.7%in children,6.4%and 47.9%in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0%and 37.1%in children,81.7%and 39.9%in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.
3.Changing antibiotic resistance profiles of the bacterial strains isolated from geriatric patients in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Xiaoman AI ; Yunjian HU ; Chunyue GE ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; 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 ; 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 ; Wenhui HUANG ; 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 2025;25(3):290-302
Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3%of the total number of clinical isolates from all patients.Overall,21.8%of the 514 715 strains were gram-positive bacteria,and 78.2%were gram-negative bacteria.Majority(90.9%)of the strains were isolated from inpatients.About 42.9%of the strains were isolated from respiratory specimens,and 22.9%were isolated from urine.More than half(60.7%)of the strains were isolated from male patients,and 39.3%isolated from females.About 51.1%of the strains were isolated from patients aged 65-<75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8%in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2%,1.5%)and linezolid-resistant strains(3.4%,0.3%)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3%,4.0%,and 1.7%in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2%)to imipenem and meropenem were 20.9%and 22.3%,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7%-7.8%of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6%)to imipenem and meropenem were 68.4%and 70.6%respectively,while 28.5%and 24.3%of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-<75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.
4.Establishing Quantitative Traditional Chinese Medicine Diagnostic Rules of Diabetes Based on Constrained Latent Tree Analysis
Yulong XU ; Jinhua CHEN ; Honglei ZHU ; Yali LYU ; Jingqing HU ; Lianwen ZHANG
World Science and Technology-Modernization of Traditional Chinese Medicine 2025;27(2):452-459
The classical latent structure method does not consider the influence of primary and secondary symptoms,syndromes and symptoms in the analysis and modeling of syndromes.In this paper,based on the data of damp-heat in intestine and stomach syndrome involving 1087 diabetic patients,the classical latent structure analysis was used to obtain the quantitative syndrome diagnostic rules.Then,using Constrained Latent Tree Analysis(CLTA),the quantitative syndrome diagnostic rules containing primary and secondary symptoms were obtained as follows,primary symptoms include halitosis(2.3),yellow tongue coating(2),abdominal distension(2.3),greasy tongue coating(2.1),loose stool or loose stool(1.5),red tongue(1.3),smooth pulse(1.4).Secondary symptoms include epigastric distension(1.1).Compared with the traditional latent structure analysis method,the rules established by CLTA are more compatible with the concept of differentiating primary and secondary symptoms and the common practice of TCM.The quantitative syndrome diagnostic rules of damp-heat in intestine and stomach syndrome constructed by the CLTA method have considerable objectivity in the modeling process.The diagnostic rules established were also compatible with the qualitative concept of TCM theory in stratifying primary and secondary symptoms.Finally,the diagnostic rules are obtained by logistic regression analysis,and the accuracy of the three rules is compared.The results show that the rule recognition accuracy obtained by CLTA is the highest.Therefore,the syndrome diagnostic rules of damp-heat in intestine and stomach obtained from the analysis of CLTA are in line with the constraint semantics of primary and secondary diseases and the theory of traditional Chinese medicine.
5.Gut microbiota characteristics in patients with nonalcoholic fatty liver disease
Kaishunzi LIU ; Min FANG ; Jinhua DUAN ; Chun'e LI ; Feng ZHU ; Zhe ZHAO
Journal of Xi'an Jiaotong University(Medical Sciences) 2025;46(3):448-454
Objective To analyze the changes of intestinal microbiota in patients with nonalcoholic fatty liver disease(NAFLD)and healthy controls so as to explore the relationship between intestinal microbiota and NAFLD.Methods A total of 353 samples from the National Center for Biotechnology Information were included,including 110 healthy controls and 243 NAFLD patients(127 NASH and 116 NAFLD).Macrogenome sequencing data were extracted to obtain data on intergroup flora diversity changes and analyze the potential correlation between alterations in gut microbes and NAFLD.Results Alpha diversity analysis showed no significant differences in Invsimpson index(P=0.57)or Simpson index(P=0.57)between NAFLD patients and healthy controls,while there was a trend of decreasing Shannon index(P=0.084),but with no significant difference.β-diversity analysis showed significant differences between the two groups(P=0.002).Species composition analysis showed that at the genus level,NAFLD patients and healthy controls had the same species types,with Bacteroidetes and Firmicutes being the dominant phyla in both groups.However,compared to Control group,NAFLD group had significantly lower Firmicutes,Synergistetes,and Candidatus_Melainabacteria.At the species level,there were significant differences between NAFLD group and Control group for 10 bacterial species,including Bacteroides_uniformis and Faecalbacterium_prausnitzil.Intergroup difference analysis showed that Phocaeicola dorei,Parabacteroides_distasonis,Bilophila_wadsworthia,and Dysosmobacter_welbionis were significantly enriched in NAFLD patients(LDA score>2.0,P<0.05),while Prevotella_stercorea,Faecalibacterium prausnitzii,and others were negatively associated with NAFLD.A disease detection model was constructed based on metagenomic data,and 26 intestinal microorganisms related to NAFLD were selected,including Pyramidobacter piscolens and Citrobacter freundii,etc.The diagnostic accuracy of NAFLD was judged by ROC curve discriminant model,and the AUC of the ROC curve was 0.743 8,indicating that the model has a certain accuracy in diagnosing NAFLD.Conclusion This study revealed differences in gut microbial diversity between NAFLD patients and healthy controls and identified key bacterial groups associated with NAFLD.In addition,the disease detection model constructed based on metagenomic data provides a new method and idea for the diagnosis of NAFLD,which is conducive to further study of the disease and the early diagnosis and treatment of clinical patients.
6.Changing prevalence and antibiotic resistance profiles of carbapenem-resistant Enterobacterales in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Wenxiang JI ; Tong JIANG ; Jilu SHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yuanhong XU ; Ying HUANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yingchun XU ; Xiaojiang ZHANG ; 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 ; 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 ; Hong ZHANG ; Chun WANG ; Wenhui HUANG ; 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 2025;25(4):445-454
Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43%(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38%,9.73%,and 8.47%,respectively.The prevalence of CRE strains in Escherichia coli was 1.99%.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)%,followed by blood(20.88±3.40)%and urine(18.40±3.45)%.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)%.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.
7.Changing distribution and antibiotic resistance profiles of the respiratory bacterial isolates in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Ying FU ; Yunsong YU ; Jie LIN ; 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 ; 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 WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(4):431-444
Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6%of the isolates were Gram-negative bacteria and 17.4%were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)%and(94.0±0.1)%,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P<0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9%.The prevalence of penicillin-resistant S.pneumoniae was 1.4%.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8%and 41.3%,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7%,20.8%,9.4%,29.8%,and 73.3%,respectively.The prevalence of β-lactamase was 96.1%in Moraxella catarrhalis and 60.0%in Haemophilus influenzae.The H.influenzae isolates from children(<18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P<0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.
8.Analysis of the association between the use of oral progesterone drugs in early pregnancy and gestational diabetes mellitus
Yan QIN ; Jinhua GU ; Jing ZHU ; Lin LUO ; Peng PING ; Lingqi GU
China Pharmacy 2025;36(6):721-726
OBJECTIVE To explore the association between the use of oral progesterone drugs in early pregnancy and gestational diabetes mellitus (GDM). METHODS Through real-world retrospective cohort research method, pregnant women who underwent the oral glucose tolerance test (OGTT) at the Affiliated Maternal and Child Health Hospital of Nantong University between January 2022 and January 2023 were enrolled. Based on whether oral progesterone drugs were used in early pregnancy, they were divided into treatment group and control group; propensity score matching (PSM) with a 1∶1 ratio was employed to control for confounding factors; Logistic regression and linear regression were employed to analyze the association between drug factors (whether use of oral progesterone drug, duration of medication, dosage, and drug type) and outcome indicators (occurrence of GDM, fasting blood glucose levels, and OGTT 1 and 2 h blood glucose levels in late pregnancy). RESULTS A total of 709 pregnant women were enrolled in the two groups before PSM; after PSM, 256 cases were included in both the treatment group and the control group. The results of association analysis indicated that there was no significant association between the use of oral progesterone drugs and GDM (P>0.05); but a significant correlation was found with OGTT 1 h blood glucose levels [β=0.965, 95%CI (0.007,1.922), P<0.05], specifically with Dydrogesterone tablets [β=0.977, 95%CI (0.009, 1.944), P<0.05] and Progesterone soft capsules [β =1.089, 95%CI (0.077, 2.102), P<0.05]. There was no significant correlation between other drug factors and outcome indicators (P>0.05). CONCLUSIONS The use of oral progestogen drugs in early pregnancy is not significantly associated with GDM. The blood glucose levels in late pregnancy, especially OGTT 1 h blood glucose levels, have a certain correlation with Progesterone soft capsules and Dydrogesterone tablets.
9.Epidemiological characteristics of patients with hepatitis C in Jinhua City, Zhejiang Province from 2005 to 2023
Ke ZHU ; Hui WANG ; Huiling TANG ; Lyuhua JIN
Shanghai Journal of Preventive Medicine 2025;37(2):135-139
ObjectiveTo analyze the epidemiological characteristics of patients with hepatitis C in Jinhua City, Zhejiang Province from 2005 to 2023, so as to provide a scientific basis for the prevention and control of hepatitis C. MethodsThe data on patients with hepatitis C, as well as whose current address is in Jinhua City, from 2005 to 2023 were collected from the infectious disease surveillance system of the China Disease Control and Prevention Information Management System. Descriptive epidemiological methods were used to analyze the temporal, spatial and demographic distribution characteristics of hepatitis C. ResultsA total of 2 326 cases of hepatitis C were reported in Jinhua from 2005 to 2023, including 2 death cases, with an average annual incidence rate of 2.19/100 000, showing a trend which rose first and then declined and then rose again. Hepatitis C was reported all the year round without significant seasonal pattern. In terms of the number of reported cases and the average annual incidence rate, Yiwu City ranked the first place. From 2005 to 2023, a total of 1 438 (61.82%) male cases and 888 (38.18%) female cases were reported, and the reported incidence rate was higher for males (2.62/100 000) than that for females (1.74/100 000), showing a statistically significant difference (χ2=92.937, P<0.001). Most cases aged between 30 to <50 years old (1 175, 50.52%), and the incidence rate of hepatitis C among the age group of 40‒<50, 50‒<60, 60‒<70 years old was showing an upward trend, with farmers (1 024, 44.02%) as the main occupation . ConclusionThe prevalence of hepatitis C in Jinhua City is generally at a low level, with an incidence rate of increasing and then decreasing, but rise up again after 2019. Therefore, epidemic surveillance and health education among the male, middle-aged and elderly people and farmers, as well as the key regions where the migrant workers flows in should be enhanced.
10.Guidelines for the diagnosis and treatment of prurigo nodularis.
Li ZHANG ; Qingchun DIAO ; Xia DOU ; Hong FANG ; Songmei GENG ; Hao GUO ; Yaolong CHEN ; Chao JI ; Chengxin LI ; Linfeng LI ; Jie LI ; Jingyi LI ; Wei LI ; Zhiming LI ; Yunsheng LIANG ; Jianjun QIAO ; Zhiqiang SONG ; Qing SUN ; Juan TAO ; Fang WANG ; Zhiqiang XIE ; Jinhua XU ; Suling XU ; Hongwei YAN ; Xu YAO ; Jianzhong ZHANG ; Litao ZHANG ; Gang ZHU ; Fei HAO ; Xinghua GAO
Chinese Medical Journal 2025;138(22):2859-2861

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