1.Analysis of clinical characteristics of 442 measles cases
Shiheng CUI ; Xiaomeng XU ; Wei WANG ; Yafei WANG ; Li SUN ; Yanli CONG ; Jinghui WANG
Journal of Public Health and Preventive Medicine 2026;37(2):45-48
Objective To analyze the clinical characteristics of measles cases in the measles elimination stage and to provide a scientific basis for the prevention, control, diagnosis and treatment of measles. Methods The descriptive epidemiological method was used to analyze the clinical characteristics of 442 confirmed measles cases in Hebei Province from 2018 to 2020. Results Among the 442 measles cases, the main symptoms were rash (96.61%), fever (90.50%), cough (56.11%), and Koplik spots (30.09%). Complications were mainly pneumonia (12.22%). There were significant differences in symptoms among different age groups (P < 0.05). The incidence of symptoms in children under 5 years old (except cough) was higher than that in other age groups. Immunization history had no significant impact on the symptoms of fever and rash (P > 0.05), but the incidence of symptoms such as cough, conjunctivitis, Koplik's spots and catarrhal rhinitis in the immunized group was lower than that in the non-immunized group (P < 0.05). The group with an interval of 0 days from fever to rash was the largest, and the proportion of people with an immunization history in the 0-day group (68.06%) was significantly higher than that in the 3-4-day group (49.44%) (P < 0.05). Pneumonia complications were mainly concentrated in children under 5 years old (87.03%), and most of the cases had a 0-dose immunization history (81.48%). Conclusion In the measles elimination stage, the incidence of fever and rash in cases is relatively high, while the incidence of Koplik spots is relatively low. The symptoms are more obvious in the younger age group. Vaccination can reduce the incidence of specific symptoms. The change in the time of rash appearance suggests that the diagnosis and treatment plan need to be adjusted. This study provides key data support for the formulation of measles prevention, control and treatment strategies.
2.Effect of Wenyang Huazhuo Formula (温阳化浊方) on Reproductive Aging,Ovarian Mechanical Micro-environment,and Offspring Reproductive Potential in Aged Model Mice
Jiaqi XU ; Xiaoli ZHAO ; Nan JIANG ; Kaixi LI ; Yafei DING ; Zimu WEN ; Yingying JIA ; Mengjun JIANG ; Tian XIA
Journal of Traditional Chinese Medicine 2025;66(6):612-620
ObjectiveTo explore the possible mechanisms of Wenyang Huazhuo Formula (温阳化浊方, WHF) in improving reproductive aging from the perspective of the ovarian mechanical microenvironment. MethodsThe experiment included five groups, 3-month group (20 female mice at 3 months of age), 6-month group (20 female mice at 6 months of age), 6-month + WHF group (20 female mice at 5 months of age treated with WHF), 9-month group (20 female mice at 9 months of age), and 9-month + WHF group (20 female mice at 8 months of age treated with WHF). The 6-month + WHF group and 9-month + WHF group were orally administered WHF 41.2 g/(kg·d) once daily for 4 consecutive weeks. The other three groups received no intervention. Reproductive hormone levels were measured by ELISA. HE staining was used to count the numbers of various stages of follicles. Ovarian hyaluronic acid (HA) content and collagen fiber content were measured to evaluate the ovarian mechanical microenvironment. Superovulation was performed to observe the number of eggs obtained, as well as the number of offspring and birth weight to assess fertility. The in vitro fertilization and blastocyst culture of oocytes from female offspring in each group were observed to evaluate the effect of WHF on offspring reproductive potential. ResultsCompared with the 3-month group, the 6-month group and 9-month group showed significantly decreased serum levels of gonadotropin-releasing hormone (GnRH), follicle-stimulating hormone (FSH), and luteinizing hormone (LH), decreased ovarian collagen content, and reduced numbers of primordial and secondary follicles. In contrast, the numbers of primary follicles, antral follicles, and atretic follicles increased. The levels of anti-Müllerian hormone (AMH), ovarian HA content, and the fertilization rate, cleavage rate, and blastocyst formation rate of oocytes from offspring were significantly lower (P<0.05). Compared with the 6-month group, the 6-month + WHF group showed significantly reduced serum levels of GnRH, FSH, and LH, with a significant decrease in primary follicles, antral follicles, and atretic follicles as well as increase of AMH levels, ovarian HA content, number of primordial and secondary follicle, egg count, and offspring birth weight (P<0.05). Compared with the 9-month group, the 9-month + WHF group exhibited reduced GnRH, FSH, and collagen fiber content, as well as reduced number of primary follicles, antral follicles, and atretic follicles. However, AMH levels, ovarian HA content, number of primordial and secondary follicle, egg count, offspring numbers, birth weight, fertilization rate, cleavage rate, and blastocyst formation rate of oocytes from offspring all significantly increased (P<0.05). ConclusionWHF can significantly improve the ovarian reserve, fertility, and reproductive potential in offspring during reproductive mid-life and late-life stages. Its effect may be related to the remodeling of the mechanical microenvironment of aging ovaries. Moreover, the effect on the mechanical microenvironment remodeling of late-stage ovaries and the improvement of the offspring reproductive potential is more significant.
3.Allogeneic intrastromal lenticule implantation combined with corneal collagen cross-linking for moderate to advanced keratoconus
Jing ZHANG ; Jie HOU ; Yahui DONG ; Yulin LEI ; Yafei XU ; Fangfang SUN
International Eye Science 2025;25(9):1517-1522
AIM: To evaluate the safety and efficacy of allogeneic intrastromal lenticule implantation combined with corneal collagen cross-linking(CXL)in patients with moderate to advanced keratoconus.METHODS: A retrospective case series analysis was conducted. A total of 19 patients(20 eyes)with moderate to advanced keratoconus who underwent combined allogeneic intrastromal lenticule implantation and CXL at the Jinan Mingshui Eye Hospital from June 2021 to December 2023 were included. The uncorrected distance visual acuity(UCVA), thinnest corneal thickness, central corneal epithelial thickness, anterior corneal flat keratometry(Kf), steep keratometry(Ks), and mean keratometry(Km), as well as the first applanation time(A1T), the first applanation length(A1L), the velocity during the first applanation moment(VIN), the second applanation time(A2T), the second applanation length(A2L), the velocity during the second applanation moment(VOUT), highest concavity time(HCT), highest concavity radius(HCR), peak distance(PD), deformation amplitude(DA), stiffness parameter at first applanation(SP-A1), integrated radius(IR), central corneal thickness(CCT), intraocular pressure(IOP), corneal thickness-corrected IOP, biomechanically intraocular pressure IOP(bIOP), and corneal thickness variation rate(ARTH)were compared between the two groups before surgery and at 1 wk, 1, 3 and 6 mo after surgery.RESULTS: All patients successfully completed the surgery without any intraoperative complications. No significant differences were observed between pre-operative and post-operative measurements for UCVA or the corneal biomechanical parameters, including A1L, A2L, PD, A1T, A2T, VIN, VOUT, DA, IOP, and bIOP(all P>0.05). Significant differences were found between pre-operative and post-operative values for corneal thinnest point thickness, central corneal epithelial thickness, Kf, Ks, Km, and the corneal biomechanical parameters, including HCT, HCR, SP-A1, ARTH, IR, and CCT(all P<0.05). The anterior corneal curvature demonstrated an initial increase followed by a decrease post-operatively. Furthermore, significant differences were observed between pre-operative and post-operative values for HCT, HCR, SP-A1, ARTH, IR, and CCT(all P<0.005).CONCLUSION: Allogenic intrastromal lenticule implantation combined with corneal collagen cross-linking demonstrates favorable safety and stability in treating moderate-to-advanced keratoconus. This combined procedure effectively increases corneal thickness and rigidity, resulting in corneas that are more resistant to deformation postoperatively.
4.Evaluation of operation quality of measles surveillance system in Hebei Province in 2020 - 2023
Shiheng CUI ; Xiaomeng XU ; Li SUN ; Yafei WANG ; Wei WANG ; Yanli CONG ; Jinghui WANG
Journal of Public Health and Preventive Medicine 2025;36(2):26-29
Objective To analyze the operation of Measles Surveillance System (MSS) in Hebei Province, and to provide evidence for measles elimination. Methods Measles surveillance data was collected from the MSS from 2020 to 2023, and a modified weighted technology for order preference by similarity to an ideal solution (TOPSIS) method was used to evaluate the surveillance indexes of measles in Hebei Province. Results The operation quality of the measles surveillance system in Hebei Province was improved year by year, with the highest quality in 2023, and all the indicators reached the monitoring program standards. The quality of measles surveillance system was not balanced among cities, and the main influencing factor was the substandard sensitivity indicators. The quality of measles surveillance system was the highest in Baoding City and the lowest in Zhangjiakou City. Conclusion The measles surveillance system in Hebei province is running well, and the sensitivity of the surveillance system should be improved to keep the high-quality operation of the surveillance system.
5.Changing antimicrobial resistance profiles of Burkholderia cepacia in hospitals across China:results from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Chunyue GE ; Yunjian HU ; Xiaoman AI ; 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(5):557-562
Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1%(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5%,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3%(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1%)were isolated from sputum and respiratory secretions,followed by urine(10.7%)and blood samples(8.1%).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1%.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4%in the patients<18 years old to 20.6%in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.
6.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.
7.Effect of miR-532-3p on macrophage polarization in rats with chronic kidney disease through targeted inhibition of Notch1 signal pathway
Mingzhi XU ; Na AN ; Yafei BAI ; Ruman CHEN ; Jiqing HE ; Chunli WANG ; Yonghui QI ; Mingjiao PAN
Chinese Journal of Immunology 2025;41(2):310-314,319
Objective:To analyze effect of miR-532-3p on macrophage polarization in rats with chronic kidney disease(CKD)through targeted inhibition of Notch1 signal pathway.Methods:A total of 75 SD rats were divided into control group,CKD group,ago-NC group,ago-miR-532-3p group and FLI-06 group,except for control group,CKD models were constructed and corresponding plas-mids and inhibitors were injected,control group and CKD group were replaced with same amount of normal saline.Serum creatinine(Scr),blood urea nitrogen(BUN),TNF-α,IL-1β and IL-10 were measured by ELISA,HE staining and Masson staining were used to observe renal tissue pathology and renal fibrosis in rats,flow cytometry was used to detect CD11c+and CD206+of macrophages,miR-532-3p expression in rat kidney tissue was detected by qRT-PCR,Notch1 protein was detected by Western blot;target binding of miR-532-3p to Notch1 was determined by double luciferase reporter gene.Results:Structure of glomerulus,renal tubules and epithelial cells was complete,cell boundaries were clear,and cells were arranged neatly in control group;glomerular epithelial cell necrosis,mesangial matrix,glomerulosclerosis,inflammatory cell infiltration and renal fibrosis were increased in CKD group;compared with CKD group,damage degree of glomerulus and tubules,inflammatory infiltration cells and renal fibrosis degree in ago-miR-532-3p group and FLI-06 group were reduced;compared with control group,serum Scr,BUN,TNF-α,IL-1β,proportion of CD11c+,CD11c+/CD206+and Notch1 protein expression in macrophages of renal tissue were increased,serum IL-10 level,CD206+and miR-532-3p in renal tissue were decreased(P<0.05);compared with CKD group,serum Scr,BUN,TNF-α,IL-1β,proportion of CD11c+,CD11c+/CD206+and Notch1 protein expression in macrophages of renal tissue in ago-miR-532-3p group and FLI-06 group were decreased,serum IL-10 level,CD206+and miR-532-3p in renal tissue were increased(P<0.05);miR-532-3p targeted Notch1,and overexpression of miR-532-3p inhibited Notch1 protein expression.Conclusion:Promoting expression of miR-532-3p protects kidney tissue of CKD rats by inhibiting Notch1 pathway,which may be due to regulating polarization of macrophages.
8.Establishment and optimization of a high-performance size-exclusion chromatography method for quantifying the classical swine fever virus E2 protein.
Xiaojuan ZHANG ; Bo YANG ; Gaoyuan XU ; Mingxing REN ; Ji TANG ; Hongshuo LIU ; Zhankui LIU ; Yafei LI ; Xiangru WANG
Chinese Journal of Biotechnology 2025;41(7):2774-2788
This study aims to establish a high-performance size-exclusion chromatography (HPSEC) method for determining the content of the classical swine fever virus (CSFV) E2 protein and screen the optimal stabilizer to enhance the stability of this protein. The optimal detection conditions were determined by optimizing the composition of the mobile phase, and characteristic chromatographic peaks were identified by SDS-PAGE and Western blotting. The specificity, repeatability, precision, linearity, limit of detection (LOD), and limit of quantitation (LOQ) of the method were assessed. The method established was used to determine the content of CSFV E2 protein antigen and vaccine. Differential scanning fluorimetry (DSF) was employed to screen the buffer system, pH, and salt ion concentrations, and sugar, amino acid, and alcohol stabilizers were further screened. The results showed that using a 200 mmol/L phosphate buffer provided the best column efficiency. An antigen-specific chromatographic peak appeared at the retention time of 18 min, which was identified as the CSFV E2 protein by SDS-PAGE and Western blotting. The method exhibited high specificity for detecting the CSFV E2 protein, with no absorbance peak observed in the blank control. The relative standard deviation (RSD) of the peak area for six repeated injections of the CSFV E2 protein was 0.74%, indicating good repeatability of the method. The RSD for repeated detection of two different concentrations of CSFV E2 protein samples by different operators at different time points was less than 2%, suggesting good intermediate precision of the method. The peak area of the CSFV E2 protein was linearly related to its concentration, with the regression equation showing R2 of 1.000. The LOD and LOQ of the method were 14.88 μg/mL and 29.75 μg/mL, respectively. Application of the developed method in the detection of three batches of CSFV E2 protein antigen and three batches of vaccine demonstrated results consistent with those from the bicinchoninic acid (BCA) assay, which meant that the method could accurately determine the content of CSFV E2 protein antigen and vaccine. The DSF method identified 50 mmol/L Tris-HCl at pH 8.0 as the optimal buffer, and the addition of sugar and alcohol stabilizers further improved the stability of the CSFV E2 protein. The HPSEC method established in this study is simple, fast, and exhibits good accuracy and repeatability, enabling precise measurement of the CSFV E2 protein content. It is expected to play a crucial role in the quality control of the CSFV E2 vaccine. Furthermore, the strategy for improving the CSFV E2 protein stability, identified through DSF screening, has significant implications for enhancing the stability of the CSFV E2 vaccine.
Classical Swine Fever Virus/chemistry*
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Chromatography, Gel/methods*
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Animals
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Swine
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Viral Envelope Proteins/immunology*
9.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.
10.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.


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