1.Key scientific issues and breakthrough paths to eliminate the harm of hepatitis B virus infection
Yixue WANG ; Bo PENG ; Lei WEI ; Quanxin LONG ; Yuchen XIA ; Yinyan SUN ; Wenhui LI
Journal of Clinical Hepatology 2026;42(1):2-6
Hepatitis B virus (HBV) exclusively infects liver parenchymal cells and forms covalently closed circular DNA (cccDNA) within their nuclei. HBV cccDNA serves as the essential template for viral gene transcription, the sole source of progeny virus production, and the key driver of viral antigen expression, and it is the molecular basis for the persistence of HBV infection. Therefore, elimination and/or functional silencing of cccDNA is the key to eradicate chronic HBV infection. This article discusses the critical scientific issues that need to be solved during elimination of the harm of HBV infection from the perspectives of the synthesis, transcription, and clearance of cccDNA, as well as the impact of nonparenchymal cells on cccDNA, in order to provide a reference for eradicating HBV infection in the future.
2.Protective Effect of Xuebijing on Lung Injury in Rats with Severe Acute Pancreatitis by Blocking FPRs/NLRP3 Inflammatory Pathway
Guixian ZHANG ; Dawei LIU ; Xia LI ; Xijing LI ; Pengcheng SHI ; Zhiqiao FENG ; Jun CAI ; Wenhui ZONG ; Xiumei ZHAO ; Hongbin LIU
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(1):113-120
ObjectiveTo explore the therapeutic effect of Xuebijing injection (XBJ) on severe acute pancreatitis induced acute lung injury (SAP-ALI) by regulating formyl peptide receptors (FPRs)/nucleotide-binding oligomerization domain-like receptor 3 (NLRP3) inflammatory pathway. MethodsSixty rats were randomly divided into a sham group, a SAP-ALI model group, low-, medium-, and high-dose XBJ groups (4, 8, and 12 mL·kg-1), and a positive drug (BOC2, 0.2 mg·kg-1) group. For the sham group, the pancreas of rats was only gently flipped after laparotomy, and then the abdomen was closed, while for the remaining five groups, SAP-ALI rat models were established by retrograde injection of 5% sodium taurocholate (Na-Tc) via the biliopancreatic duct. XBJ and BOC2 were administered via intraperitoneal injection once daily for 3 d prior to modeling and 0.5 h after modeling. Blood was collected from the abdominal aorta 6 h after the completion of modeling, and the expression of interleukin (IL)-1β, IL-6, and tumor necrosis factor-α (TNF-α) in plasma was measured by enzyme-linked immunosorbent assay (ELISA). The amount of ascites was measured, and the dry-wet weight ratios of pancreatic and lung tissue were determined. Pancreatic and lung tissue was taken for hematoxylin-eosin (HE) staining to observe pathological changes and then scored. The protein expression levels of FPR1, FPR2, and NLRP3 in lung tissue were detected by the immunohistochemical method. Western blot was used to detect the expression of FPR1, FPR2, and NLRP3 in lung tissue. Real-time fluorescence quantitative polymerase chain reaction (Real-time PCR) was used to detect the mRNA expression of FPR1, FPR2, and NLRP3 in lung tissue. ResultsCompared with the sham group, the SAP-ALI model group showed significantly decreased dry-wet weight ratio of lung tissue (P<0.01), serious pathological changes of lung tissue, a significantly increased pathological score (P<0.01), and significantly increased protein and mRNA expression levels of FPR1, FPR2, and NLRP3 in lung tissue (P<0.01). After BOC2 intervention, the above detection indicators were significantly reversed (P<0.01). After treatment with XBJ, the groups of different XBJ doses achieved results consistent with BOC2 intervention. ConclusionXBJ can effectively improve the inflammatory response of the lungs in SAP-ALI rats and reduce damage. The mechanism may be related to inhibiting the expression of FPRs and NLRP3 in lung tissue, which thereby reduces IL-1β and simultaneously antagonize the release of inflammatory factors IL-6 and TNF-α.
3.Analysis of the current situation of retinopathy of prematurity in Xiamen region and its influencing factors
Shuangshuang YE ; Wenhui LI ; Baozhu XU ; Tingyu GU ; Ruirui SUN ; Hexie CAI
International Eye Science 2025;25(7):1195-1200
AIM: To investigate the current status of retinopathy of prematurity(ROP)in premature infants in Xiamen and analyze its influencing factors, aiming to provide a scientific basis for clinical treatment and preventive strategies.METHODS: A retrospective study was conducted on the case data of 363 preterm infants with a gestational age of <32 wk who underwent fundus examination at Xiang'an Hospital of Xiamen University from February 11, 2020 to February 25, 2023. The incidence of ROP was statistically analyzed based on the screening results. All premature infants were divided into ROP group(37 cases, 64 eyes)and non-ROP group(326 cases, 652 eyes). General clinical data and perinatal-related information of the two groups were compared, and multivariate Logistic regression analysis was used to identify factors influencing the occurrence of ROP in premature infants.RESULTS: A total of 363 premature infants were included in this study. The fundus screening results showed that a total of 37 cases(64 eyes)of premature infants were detected with ROP, including 10 cases(10 eyes)monocular and 27 cases(54 eyes)binocular, with an overall incidence of 10.2%(37/363). The severity was determined according to the ROP international classification standard(ROP is divided into 5 stages, with stage I being the least severe and stage V the most severe). Among the 64 eyes, 30 eyes(46.9%)were in stage I, 20 eyes(31.3%)were in stage II, 10 eyes(15.6%)were in stage III, 4 eyes(6.3%)were in stage IV, and there were no cases in stage V. By comparing the clinical data of the two groups, no significant differences were found in gender, mode of delivery, singleton or multiple births, premature rupture of membranes, history of asphyxia, patent ductus arteriosus(PDA), or neonatal respiratory distress syndrome(NRDS)between the two groups(all P>0.05). However, premature infants in the ROP group had significantly younger gestational age and lower birth weight compared to those in the non-ROP group(all P<0.05). Additionally, the ROP group had higher proportions of longer hospital stays, bronchopulmonary dysplasia(BPD), neonatal sepsis, anemia, oxygen therapy for more than 1 wk, oxygen concentration above 40%, and blood transfusion treatment(all P<0.05). Multivariate Logistic regression analysis revealed that combined neonatal sepsis(OR=166.985, 95% CI: 35.239-791.277, P<0.001), anemia(OR=8.111, 95% CI: 2.064-31.871, P=0.003), oxygen use time >1 wk(OR=10.216, 95% CI: 2.543-41.039, P=0.001), oxygen therapy concentration >40%(OR=7.647, 95% CI: 1.913-30.566, P=0.004), and receiving blood transfusion therapy(OR=5.879, 95% CI: 1.412-24.470, P=0.015)were the main risk factors affecting the occurrence of ROP in preterm infants, and the higher birth weight of preterm infants was a protective factor for ROP(OR=0.093, 95% CI: 0.022-0.394, P=0.001).CONCLUSION: The incidence of ROP in premature infants is relatively high, and there are multiple influencing factors. Low birth weight, neonatal sepsis, anemia, oxygen therapy, and blood transfusion treatment are high-risk factors for ROP in premature infants. Clinical attention should be given to such infants, and fundus screening should be conducted in a standardized manner to provide early treatment, thereby further reducing the risk of ROP in premature infants.
4.Advances in the application of digital health interventions in diabetes distress
Ziru WANG ; Dong XIE ; Chendi WANG ; Menglin ZHANG ; Wenhui HOU ; Wei SUN
Chinese Journal of Practical Nursing 2025;41(26):2077-2081
As one of the common negative emotions in diabetic patients, diabetes distress not only directly weakens patients' self-efficacy and treatment compliance, but also increases the risk of complications. With the help of mobile applications, chatbots, virtual reality technology and other means, digital health interventions can effectively alleviate the negative emotions of diabetic patients, improve their self-management ability and confidence, and are increasingly widely used in diabetes distress. The purpose of this review is to introduce the specific forms, application effects and future development directions of digital health intervention in diabetes distress, and to promote further research and clinical practice of digital health intervention in diabetes distress.
5.IgA vasculitis induced by tislelizumab
Kexin WANG ; Bao SUN ; Zhiying LUO ; Suyun QUE ; Bikui ZHANG ; Wenhui LIU
Adverse Drug Reactions Journal 2025;27(4):253-256
A 55-year-old male patient received immunotherapy combined with chemotherapy regimen(intravenous infusions of tislelizumab 200 mg on day 1, paclitaxel protein-bound 470 mg, and carboplatin 500 mg on day 1) after surgery for left upper lung squamous cell carcinoma, with 21 days as a treatment cycle. After more than half a month of medication in the 1st cycle, the patient developed multiple symmetrical purple red bruises on both lower limbs, which did not fade when pressed. The purple red bruising disappeared the next day after treatment with anti-allergic drugs. After 3 days of medication in the 3rd cycle, the patient developed a large number of scattered red papules on both lower limbs, protruding from the surface of the skin and accompanied by itching, a small number of red papules were scattered on both upper limbs and the face; after 15 days, the patient felt poor appetite; after 16 days, the patient experienced abdominal pain accompanied by vomiting and loose yellow stool. Laboratory tests showed a blood creatinine level of 204 μmol/L and occult blood in urine (+++). Pathological examination of skin tissue at the lesion site of the patient suggested IgA vasculitis (IgAV). After excluding other factors such as primary disease and infection, it was considered that the IgAV was probably related to tislelizumab. Tislelizumab was discontinued, anti-allergic and anti-inflammatory drugs, and glucocorticoid were given. After 2 weeks of treatments, the skin purpura gradually disappeared, and the abdominal pain and renal function indicators were improved. After fully aware of the risks, the patient was restarted tislelizumab immunotherapy combined with chemotherapy, and anti-allergic drugs were add at the same time. IgVA did not recur.
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.A case report of immune-related multisystem adverse reactions caused by tislelizumab
Qiuyan SONG ; Qirui TAI ; Bikui ZHANG ; Zhiying LUO ; Bao SUN ; Wenhui LIU
Chinese Journal of Pharmacoepidemiology 2025;34(3):359-364
A 35-year-old female patient with advanced lung cancer was treated with paclitaxel(albumin-bound)and carboplatin chemotherapy,combined with tislelizumab immunotherapy for one cycle.After 6 days of treatment,the patient developed sagging of the right eyelid compared to the leftside,mild morning and heavy evening,systemic muscle soreness,abnormal transaminases and myocardial enzymes,and abnormal electrocardiogram.It is suspected that there may be a correlation between tislelizumab and myasthenia gravis or related myositis.After admission,patients were treated with methylprednisolone,intravenous immunoglobulin,plasma exchange,mycophenolate mofetil,temporary pacemaker installation,and tracheal intubation.After more than a month of treatment,the patient's indicators decreased,but the patient became unconscious,the patient's family requested discharge.The association between the multisystem adverse reactions and tislelizumab was evaluated using the Naranjo's Assessment Scale,the correlation score was 7 and evaluated as probably relevant.It is suggested that when using tislelizumab in clinical practice,risk factor assessment and medication monitoring should be strengthened to ensure drug safety.
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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