1.Analysis of anterior chamber angle structural changes and associated factors after implantable collamer lens with central-port implantation
Yanping WU ; Jinhao ZHENG ; Yushan FU ; Dongqi YAO ; Ying LI ; Wulian SONG
International Eye Science 2026;26(5):896-904
AIM: To analyze changes in the anterior chamber angle structure in patients with implantable collamer lens with central-port(ICL V4c)implantation, and to investigate their associations with preoperative anterior segment anatomical parameters.METHODS: Retrospective case study. Patients with myopia or myopia combined with astigmatism who underwent ICL V4c implantation in the Refractive Surgery Center of the Department of Ophthalmology, the 2nd Affiliated Hospital of Harbin Medical University between July 2024 and November 2024 were recruited. Preoperative and postoperative uncorrected visual acuity, best-corrected visual acuity, intraocular pressure, anterior chamber angle(ACA), white-to-white distance(WTW), anterior chamber depth(ACD), angle to angle distance(ATA), horizontal sulcus-to-sulcus distance(HSTS), vertical sulcus-to-sulcus distance(VSTS),crystalline lens rise(CLR), pupil diameter(PD), iris thickness at 750 μm from the scleral spur(IT750),maximal iris thickness(ITM), iris curvature(I-Curv), and iris cross-sectional area(I-Area), angle opening distance(AOD750), thetrabecular-iris angle(TIA750)and the trabecular-iris space area(TISA750)in the temporal, nasal, superior, and inferior directions,as well as the vault at various postoperative time points were measured.RESULTS: The study involved 40 patients(79 eyes)with myopia or myopia combined with astigmatism who underwent ICL V4c implantation(10 males and 30 females)with the mean age of 24.73±3.79 y. Compared with preoperative measurements, at 1 mo postoperatively, the AOD750, TIA750, and TISA750 parameters at the four angles(temporal, nasal, superior, and inferior)all showed a significant reduction(P<0.01). Statistically significant differences in vault were observed at postoperative 1d(0.49±0.1), postoperative 1 wk(0.43±0.14), and postoperative 1 mo(0.41±0.14)(all P<0.001). Correlation analysis indicated that the postoperative state of the anterior chamber angle was jointly influenced by anterior chamber parameters(ACD, ATA, HSTS、VSTS), iris morphology(I-Area, IT750), pupil size(PD), and surgical factors(ICL size, early vault), and that the combination of influencing factors varied across different orientations. Regression analysis showed that ACD was positively correlated with all postoperative anterior chamber angle parameters(P<0.05). IT750 exhibited negative correlations with the temporal and inferior angles(P<0.05). I-Area was positively correlated with temporal AOD750 and TISA750(P<0.05), and PD had negative correlations with temporal TIA750 and nasal AOD750(P<0.05).CONCLUSION: Postoperative anterior chamber angle narrowing is a common phenomenon after ICL V4c implantation. The degree of change exhibits a significant correlation with multiple preoperative anterior segment anatomical parameters. Preoperative comprehensive assessment of ACD, PD, and IT750 may facilitate the evaluation of the risk of postoperative angle changes and the enhancement of surgical safety.
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.Changing distribution and antimicrobial resistance profiles of clinical isolates in children:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Qing MENG ; Lintao ZHOU ; Yunsheng CHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Chuanqing WANG ; Aimin WANG ; Lei ZHU ; Jinhua MENG ; Hong ZHANG ; Chun WANG ; Fang DONG ; Zhiyong LÜ ; Shuping ZHOU ; Yan ZHOU ; Shifu WANG ; Fangfang HU ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Wei JIA ; Gang LI ; Kaizhen WEN ; Yirong ZHANG ; Yan JIN ; Chunhong SHAO ; Yong ZHAO ; Ping GONG ; Chao ZHUO ; Danhong SU ; Bin SHAN ; Yan DU ; Sufang GUO ; Jiao FENG ; Ziyong SUN ; Zhongju CHEN ; Wen'en LIU ; Yanming LI ; Xiaobo MA ; Yanping ZHENG ; Dawen GUO ; Jinying ZHAO ; Ruizhong WANG ; Hua FANG ; Lixia ZHANG ; Juan MA ; Jihong LI ; Zhidong HU ; Jin LI ; Yuxing NI ; Jingyong SUN ; Ruyi GUO ; Yan ZHU ; Yi XIE ; Mei KANG ; Yuanhong XU ; Ying HUANG ; Shanmei WANG ; Yafei CHU ; Hua YU ; Xiangning HUANG ; Lianhua WEI ; Fengmei ZOU ; Han SHEN ; Wanqing ZHOU ; Yunzhuo CHU ; Sufei TIAN ; Shunhong XUE ; Hongqin GU ; Xuesong XU ; Chao YAN ; Bixia YU ; Jinju DUAN ; Jianbang KANG ; Jiangshan LIU ; Xuefei HU ; Yunsong YU ; Jie LIN ; Yunjian HU ; Xiaoman AI ; Chunlei YUE ; Jinsong WU ; Yuemei LU
Chinese Journal of Infection and Chemotherapy 2025;25(1):48-58
Objective To understand the changing composition and antibiotic resistance of bacterial species in the clinical isolates from outpatient and emergency department(hereinafter referred to as outpatients)and inpatient children over time in various hospitals,and to provide laboratory evidence for rational antibiotic use.Methods The data on clinically isolated pathogenic bacteria and antimicrobial susceptibility of isolates from outpatients and inpatient children in the CHINET program from 2015 to 2021 were collected and analyzed.Results A total of 278 471 isolates were isolated from pediatric patients in the CHINET program from 2015 to 2021.About 17.1%of the strains were isolated from outpatients,primarily group A β-hemolytic Streptococcus,Escherichia coli,and Staphylococcus aureus.Most of the strains(82.9%)were isolated from inpatients,mainly SS.aureus,E.coli,and H.influenzae.The prevalence of methicillin-resistant S.aureus(MRSA)in outpatients(24.5%)was lower than that in inpatient children(31.5%).The MRSA isolates from outpatients showed lower resistance rates to the antibiotics tested than the strains isolated from inpatient children.The prevalence of vancomycin-resistant Enterococcus faecalis or E.faecium and penicillin-resistant S.pneumoniae was low in either outpatients or inpatient children.S.pneumoniae,β-hemolytic Streptococcus and S.viridans showed high resistance rates to erythromycin.The prevalence of erythromycin-resistant group A β-hemolytic Streptococcus was higher in outpatients than that in inpatient children.The prevalence of β-lactamase-producing H.influenzae showed an overall upward trend in children,but lower in outpatients(45.1%)than in inpatient children(59.4%).The prevalence of carbapenem-resistant Klebsiella pneumoniae(CRKpn),carbapenem-resistant Pseudomonas aeruginosa(CRPae)and carbapenem-resistant Acinetobacter baumannii(CRAba)was 14%,11.7%,47.8%in outpatients,but 24.2%,20.6%,and 52.8%in inpatient children,respectively.The prevalence of multidrug-resistant E.coli,K.pneumoniae,Proteus mirabilis,P.aeruginosa and A.baumannii strains was lower in outpatients than in inpatient children.The prevalence of fluoroquinolone-resistant E.coli,ESBLs-producing K.pneumoniae,ESBLs-producing P.mirabilis,carbapenem-resistant E.coli(CREco),CRKpn,and CRPae was lower in children in outpatients than in inpatient children,but the prevalence of CRAba in 2021 was higher than in inpatient children.Conclusions The distribution of clinical isolates from children is different between outpatients and inpatients.The prevalence of MRSA,ESBL,and CRO was higher in inpatient children than in outpatients.Antibiotics should be used rationally in clinical practice based on etiological diagnosis and antimicrobial susceptibility test results.Ongoing antimicrobial resistance surveillance and prevention and control of hospital infections are crucial to curbing bacterial resistance.
5.Surveillance of antimicrobial resistance in clinical isolates of Escherichia coli:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Shanmei WANG ; Bing MA ; Yi LI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Aimin WANG ; 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 ; 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 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 2025;25(1):39-47
Objective To investigate the changing antibiotic resistance profiles of E.coli isolated from patients in the 52 hospitals participating in the CHINET program from 2015 to 2021.Methods Antimicrobial susceptibility was tested for clinical isolates of E.coli according to the unified protocol of CHINET program.WHONET 5.6 and SPSS 20.0 software were used for data analysis.Results Atotal of 289 760 nonduplicate clinical strains ofE.coli were isolated from 2015 to 2021,mainly from urine samples(44.7±3.2)%.The proportion of E.coli strains isolated from urine samples was higher in females than in males(59.0%vs 29.5%).The proportion of E.coli strains isolated from respiratory tract and cerebrospinal fluid samples was significantly higher in children than in adults(16.7%vs 7.8%,0.8%vs 0.1%,both P<0.05).The isolates from internal medicine department accounted for the largest proportion(28.9±2.8)%with an increasing trend over years.Overall,the prevalence of ESBLs-producing E.coli and carbapenem resistant E.coli(CREco)was 55.9%and 1.8%,respectively during the 7-year period.The prevalence of ESBLs-producing E.coli was the highest in tertiary hospitals each year from 2015 to 2021 compared to secondary hospitals.The prevalence of CREco was higher in children's hospitals compared to secondary and tertiary hospitals each year from 2015 to 2021.The prevalence of ESBLs-producing E.coli in tertiary hospitals and children's hospitals and the prevalence of CREco in children's hospitals showed a decreasing trend over the 7-year period.The prevalence of CREco in secondary and tertiary hospitals increased slowly.Antibiotic resistance rates changed slowly from 2015 to 2021.Carbapenem drugs(imipenem,meropenem)were the most active drugs amongβ-lactams against E.coli(resistance rate≤2.1%).The resistance rates of E.coli to β-lactam/β-lactam inhibitor combinations(piperacillin-tazobactam,cefoperazone-sulbactam),aminoglycosides(amikacin),nitrofurantoin and fosfomycin(for urinary isolates only)were all less than 10%.The resistance rate of E.coli strains to antibiotics varied with the level of hospitals and the departments where the strains were isolated,especially for cefazolin and ciprofloxacin,to which the resistance rate of E.coli strains from children in non-ICU departments was significantly lower than that of the strains isolated from other departments(P<0.05).The E.coli isolates from ICU showed higher resistance rate to most antimicrobial agents tested(excluding tigecycline)than the strains isolated from other departments.The E.coli strains isolated from tertiary hospitals showed higher resistance rates to the antimicrobial agents tested(excluding tigecycline,polymyxin B,cefepime and carbapenems)than the strains from secondary hospitals and children's hospitals.Conclusions E.coli is an important pathogen causing clinical infection.More than half of the clinical isolates produced ESBL.The prevalence of CREco is increasing in secondary and tertiary hospitals over the 7-year period even though the overall prevalence is still low.This is an issue of concern.
6.Burden of influenza-associated consultations in China from 2011 to 2021 surveillance years
Yuxin SHEN ; Zhibin PENG ; Ying QIN ; Xiaoying YU ; Rina SU ; Qingyi WANG ; Jiandong ZHENG ; Hongting ZHAO ; Xiaokun YANG ; Yanping ZHANG
Chinese Journal of Epidemiology 2025;46(4):612-618
Objective:To estimate the burden of influenza-associated outpatient consultations in China from 2011 to 2021 surveillance years to provide a reference for developing influenza prevention, control strategies, and vaccination policies.Methods:Data on influenza-like illness (ILI) and virological confirmation of sentinel specimens from 2011 to 2021 surveillance years were extracted from China's national sentinel surveillance system. Generalized additive models were fitted to estimate influenza-associated excess ILI outpatient burden, accounting for seasonal baselines and meteorological factors.Results:Influenza was associated with an average of 1.66 (95% CI: 1.51-1.80) excess ILI consultations per 1 000 person-years (py) in China each year from 2011 to 2021 surveillance years. The influenza-associated outpatient burden was similar across different virus types/subtypes. Influenza A(H1N1)pdm09 led to a higher rate of influenza- associated ILI consultations [0.65 (95% CI: 0.53-0.76) per 1 000 py] compared to other types/subtypes. The age groups with the highest burdens were children aged 0-4 years and 5-14 years, with excess outpatient consultation rates of 15.23 (95% CI: 13.73-16.73) per 1 000 py and 13.53 (95% CI: 12.49-14.52) per 1 000 py, respectively. Conclusions:Influenza caused many outpatient consultations in China, particularly among children aged 0-14. Continuous influenza monitoring and disease burden assessment should be conducted, and close attention should be paid to the changing trends of various influenza virus types/subtypes. When formulating vaccination strategies, priority should be given to recommending vaccination for high-risk populations, such as children.
7.Epidemiological characteristics of intestinal infectious diseases in China, 2013-2022
Xueying TIAN ; Bojun JIN ; Yue SHI ; Xuedong ZHENG ; Zengqiang KOU ; Yanping ZHANG ; Mengjie GENG
Chinese Journal of Epidemiology 2025;46(5):776-783
Objective:To deeply analyze the epidemiological characteristics and changing trends of intestinal infectious diseases in China, and provide scientific evidence for the prevention and control of intestinal infectious diseases.Methods:The incidence data of notifiable intestinal infectious diseases in China from 2013 to 2022 were collected from China Disease Prevention and Control Information System. Descriptive statistical method was used to analyze the distributions of intestinal infectious diseases in China, and the annual change rate and seasonal index were calculated.Results:During 2013-2022, intestinal infectious diseases were reported nationwide, with the cases accounting for 43.50% of all notifiable infectious disease cases. The average reported incidence rate was 224.50/100 000, showing a decreasing trend year by year (average annual percent change=-6.45%, t=-2.76, P=0.025). The top 5 intestinal infectious diseases were hand foot and mouth disease (HFMD) (130.40/100 000), other infectious diarrhea (80.18/100 000), dysentery (7.45/100 000), acute hemorrhagic conjunctivitis (2.49/100 000) and viral hepatitis E (1.92/100 000). The incidences of dysentery, HFMD, typhoid fever/paratyphoid fever, viral hepatitis A and acute hemorrhagic conjunctivitis all showed decreasing trends year by year (all P<0.05), while the incidences of hepatitis E and other infectious diarrhea showed no significant changes with year (both P>0.05). The incidence of intestinal infectious diseases was high during May to October, with the peak in June. The incidence rate of intestinal infectious diseases was significantly higher in men than in women (all P<0.05). The HFMD, other infectious diarrhea and dysentery cases were mainly children aged 0-5 years, while the cholera, hepatitis A, hepatitis E, typhoid fever/paratyphoid fever and acute hemorrhagic conjunctivitis cases were mainly farmers aged ≥20 years. The annual reported incidence rate of intestinal infectious diseases was higher in southern provinces (283.66/100 000) than in northern provinces (142.63/100 000), and the annual reported incidence rate of intestinal infectious diseases was higher in coastal provinces (279.52/100 000) than in inland provinces (181.78/100 000), the differences were all significant (both P<0.001). Conclusions:During 2013-2022, the incidence of intestinal infectious diseases decreased significantly in China, with HFMD and other infectious diarrhea as the main diseases. Strengthened surveillance for intestinal infectious diseases should be carried out in key groups, such as children living scatteredly and farmers, and targeted prevention and control measures should be taken according to the epidemiological characteristics of different diseases to effectively reduce the incidence of intestinal infectious diseases.
8.Correlation analysis of smoking behavior and cardiovascular risk factors among employees in a heavy industry enterprise
Qian ZHANG ; Xi WANG ; Jin WANG ; Yanli LIANG ; Yubo ZHENG ; Rui TANG ; Juanjuan JIN ; Yanping REN
Chinese Journal of Health Management 2025;19(10):781-786
Objective:To explore the correlation between smoking behavior of employees in heavy industry enterprises and risk factors for cardiovascular and cerebrovascular diseases.Methods:A cross-sectional study design was adopted. A questionnaire survey and physical examination data collection were conducted on employees of a heavy industry enterprise in Shaanxi Province using a cluster sampling method from March to April 2024. A total of 2 209 cases met the inclusion criteria. According to the smoking index (SI), participants were divided into a non-smoking group (SI=0, 1 316 cases), a low smoking group (SI400, 656 cases), and a high smoking group (SI≥400, 237 cases). According to the fagerstrom test for nicotine dependence (FTND) score, participants were divided into a non-dependence group (FTND=0, 1 316 cases), a mild dependence group (FTND=1-3, 623 cases), a moderate dependence group (FTND=4-6, 204 cases), and a severe dependence group (FTND≥7, 66 cases). Spearman rank correlation, univariate, and multivariate logistic regression analyses were used to compare differences in blood pressure, fasting blood glucose, total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, triglycerides, uric acid, homocysteine, and body mass index among the groups.Results:As the SI and FTND scores increased, blood pressure, low-density lipoprotein cholesterol, triglycerides, uric acid, and homocysteine all showed an increasing trend, while high-density lipoprotein cholesterol showed a decreasing trend (all P0.05). The systolic blood pressure, diastolic blood pressure, fasting blood glucose, low density lipoprotein cholesterol (LDL-C), triglycerides, serum uric acid, and homocysteine in the high smoking group were higher than those in the non-smoking group [(124.93±16.55) vs (122.32±16.62) mmHg (1 mmHg=0.133 kPa), (80.86±11.10) vs (76.18±11.63) mmHg, 5.58 vs 5.29 mmol/L, (3.13±0.65) vs (2.95±0.56) mmol/L, 1.70 vs 1.09 mmol/L, (336.80±69.94) vs (299.00±86.43) μmol/L, 14.20 vs 11.76 μmol/L, all P0.001], the high-smoking group had lower HDL cholesterol than the non-smoking group [(1.34±0.30) vs (1.39±0.27) mmol/L, P0.001], the systolic blood pressure, diastolic blood pressure, fasting blood glucose, total cholesterol, low-density lipoprotein cholesterol, triglycerides, serum uric acid, and homocysteine in the severely dependent group were higher than those in the non-dependent group [(132.09±16.69 )vs (122.32±16.62) mmHg, (81.32±12.97) vs (76.18±11.63) mmHg, 5.61 vs 5.29 mmol/L, (4.98±0.91 )vs (4.70±0.88) mmol/L, (3.19±0.62) vs (2.95±0.56) mmol/L, 1.87 vs 1.09 mmol/L, (328.95±75.21) vs (299.03±86.43) μmol/L, 14.38 vs 11.76 μmol/L, all P0.05], and the high density lipoprotein cholesterol (HDL-C) in the severely dependent group was lower than that in the non-dependent group [(1.32±0.30) vs (1.39±0.27) mmol/L, P0.001]. Multivariate analysis showed that SI and degree of tobacco dependence (DTD), were significantly correlated with fasting blood glucose, triglycerides, and LDL cholesterol, but the effect size of SI was too small ( OR=1.001, 95% CI: 1.000-1.001, P=0.002, OR=1.001, 95% CI: 1.001-1.002, P0.001, OR=1.001, 95% CI: 1.000-1.001, P=0.032). Conclusions:Smoking behavior among employees in heavy industry enterprises is significantly correlated with risk factors for cardiovascular and cerebrovascular diseases. The degree of tobacco dependence is closely related to the risk of abnormal fasting blood glucose, low-density lipoprotein cholesterol, and triglycerides.
9.Burden of influenza-associated consultations in China from 2011 to 2021 surveillance years
Yuxin SHEN ; Zhibin PENG ; Ying QIN ; Xiaoying YU ; Rina SU ; Qingyi WANG ; Jiandong ZHENG ; Hongting ZHAO ; Xiaokun YANG ; Yanping ZHANG
Chinese Journal of Epidemiology 2025;46(4):612-618
Objective:To estimate the burden of influenza-associated outpatient consultations in China from 2011 to 2021 surveillance years to provide a reference for developing influenza prevention, control strategies, and vaccination policies.Methods:Data on influenza-like illness (ILI) and virological confirmation of sentinel specimens from 2011 to 2021 surveillance years were extracted from China's national sentinel surveillance system. Generalized additive models were fitted to estimate influenza-associated excess ILI outpatient burden, accounting for seasonal baselines and meteorological factors.Results:Influenza was associated with an average of 1.66 (95% CI: 1.51-1.80) excess ILI consultations per 1 000 person-years (py) in China each year from 2011 to 2021 surveillance years. The influenza-associated outpatient burden was similar across different virus types/subtypes. Influenza A(H1N1)pdm09 led to a higher rate of influenza- associated ILI consultations [0.65 (95% CI: 0.53-0.76) per 1 000 py] compared to other types/subtypes. The age groups with the highest burdens were children aged 0-4 years and 5-14 years, with excess outpatient consultation rates of 15.23 (95% CI: 13.73-16.73) per 1 000 py and 13.53 (95% CI: 12.49-14.52) per 1 000 py, respectively. Conclusions:Influenza caused many outpatient consultations in China, particularly among children aged 0-14. Continuous influenza monitoring and disease burden assessment should be conducted, and close attention should be paid to the changing trends of various influenza virus types/subtypes. When formulating vaccination strategies, priority should be given to recommending vaccination for high-risk populations, such as children.
10.Epidemiological characteristics of intestinal infectious diseases in China, 2013-2022
Xueying TIAN ; Bojun JIN ; Yue SHI ; Xuedong ZHENG ; Zengqiang KOU ; Yanping ZHANG ; Mengjie GENG
Chinese Journal of Epidemiology 2025;46(5):776-783
Objective:To deeply analyze the epidemiological characteristics and changing trends of intestinal infectious diseases in China, and provide scientific evidence for the prevention and control of intestinal infectious diseases.Methods:The incidence data of notifiable intestinal infectious diseases in China from 2013 to 2022 were collected from China Disease Prevention and Control Information System. Descriptive statistical method was used to analyze the distributions of intestinal infectious diseases in China, and the annual change rate and seasonal index were calculated.Results:During 2013-2022, intestinal infectious diseases were reported nationwide, with the cases accounting for 43.50% of all notifiable infectious disease cases. The average reported incidence rate was 224.50/100 000, showing a decreasing trend year by year (average annual percent change=-6.45%, t=-2.76, P=0.025). The top 5 intestinal infectious diseases were hand foot and mouth disease (HFMD) (130.40/100 000), other infectious diarrhea (80.18/100 000), dysentery (7.45/100 000), acute hemorrhagic conjunctivitis (2.49/100 000) and viral hepatitis E (1.92/100 000). The incidences of dysentery, HFMD, typhoid fever/paratyphoid fever, viral hepatitis A and acute hemorrhagic conjunctivitis all showed decreasing trends year by year (all P<0.05), while the incidences of hepatitis E and other infectious diarrhea showed no significant changes with year (both P>0.05). The incidence of intestinal infectious diseases was high during May to October, with the peak in June. The incidence rate of intestinal infectious diseases was significantly higher in men than in women (all P<0.05). The HFMD, other infectious diarrhea and dysentery cases were mainly children aged 0-5 years, while the cholera, hepatitis A, hepatitis E, typhoid fever/paratyphoid fever and acute hemorrhagic conjunctivitis cases were mainly farmers aged ≥20 years. The annual reported incidence rate of intestinal infectious diseases was higher in southern provinces (283.66/100 000) than in northern provinces (142.63/100 000), and the annual reported incidence rate of intestinal infectious diseases was higher in coastal provinces (279.52/100 000) than in inland provinces (181.78/100 000), the differences were all significant (both P<0.001). Conclusions:During 2013-2022, the incidence of intestinal infectious diseases decreased significantly in China, with HFMD and other infectious diarrhea as the main diseases. Strengthened surveillance for intestinal infectious diseases should be carried out in key groups, such as children living scatteredly and farmers, and targeted prevention and control measures should be taken according to the epidemiological characteristics of different diseases to effectively reduce the incidence of intestinal infectious diseases.

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