1.Influence of pterygium thickness and area on corneal refractive status
Xiaodong CHENG ; Jie WANG ; Song GAO ; Yanhong LU ; Yanbo MA ; Xinming CUI ; Xihui CHEN
International Eye Science 2026;26(1):152-156
AIM: To investigate the influence of pterygium thickness and area on corneal refractive status.METHODS: Prospective longitudinal study. A total of 60 cases(60 eyes)of pterygium patients admitted to our hospital from January 2024 to September 2024 were randomly selected. All patients underwent pterygium excision combined with pedicle conjunctival flap transplantation for treatment. Optical coherence tomography(OCT)was used to measure the preoperative thickness of patient's pterygium, and a digital slit lamp microscope was used to measure the area of pterygium. The corneal refractive status(degree of corneal astigmatism and average curvature)and changes in uncorrected visual acuity of patients before surgery, 1 d, 1, and 3 mo after surgery were compared. The relationship between preoperative thickness and area of pterygium in patients and corneal refractive status indicators at different postoperative time points were analyzed, and Logistic regression was used to analyze the impact of pterygium thickness and area on postoperative visual improvement in patients.RESULTS: All patients completed follow-up after surgery for 3 mo. At 3 mo after surgery, visual acuity improved in 21 eyes(35%). The results of bivariate Pearson correlation analysis showed that the thickness and area of pterygium positively correlated with the degree of corneal astigmatism and uncorrected visual acuity before surgery and 1 d, 1, and 3 mo after surgery(all P<0.05), and negatively correlated with the average corneal curvature before surgery and 1 d, 1, and 3 mo after surgery(all P<0.05). Logistic regression analysis showed that the thickness and area of pterygium before surgery, high degree of corneal astigmatism, and low uncorrected visual acuity(large LogMAR value)were all risk factors for poor postoperative visual improvement in patients(OR>1, P<0.05). The large average corneal curvature before surgery was a protective factor for poor postoperative visual improvement in patients(OR<1, P<0.05).CONCLUSION: The increase in thickness and area of pterygium can, to some extent, improve corneal astigmatism, reduce the average curvature of the cornea, and affect postoperative visual recovery.
2.Change patterns of functional connectivity of basal forebrain subregions in Alzheimer disease patients
Yujie HE ; Shaozhen YAN ; Zhigeng CHEN ; Sheng BI ; Hanxiao XUE ; Bixiao CUI ; Jie MA ; Jie LU
Chinese Journal of Medical Imaging Technology 2025;41(5):701-705
Objective To observe the change patterns of functional connectivity(FC)of basal forebrain subregions in Alzheimer disease(AD)patients.Methods Totally 42 AD patients(AD group)and 41 healthy controls(HC group)were retrospectively enrolled.Seed-based FC analysis was performed on basal forebrain subregions(Ch123 and Ch4)based on their resting-state functional MRI data and compared between groups.Results Compared with HC group,FC between left Ch4 and left hippocampus as well as left posterior cingulate gyrus significantly decreased,but between right Ch4 and right precentral gyrus,as well as right postcentral gyrus increased in AD group(GRF correction,voxel level P<0.001,cluster level P<0.05).Meanwhile,FC between left Ch123 and left superior temporal gyrus,left insula,between right Ch123 and left superior temporal gyrus,left temporal pole significantly increased,while between right Ch123 and right orbital superior frontal gyrus,right orbital inferior frontal gyrus significantly decreased in AD group(GRF correction,voxel level P<0.001,cluster level P<0.05).Conclusion FC changes of different basal forebrain subregions in AD patients were various.
3.Application study of pelvic floor muscle training combined with electromyographic biofeedback in urinary incontinence patients after radical prostatectomy
Chengfei GAO ; Jie GU ; Qianyun MA ; Ping REN ; Xianli MENG ; Xue LU ; Chunxue PENG ; Jie CAO
Chinese Journal of Nursing 2025;60(4):418-424
Objective To investigate the rehabilitative effects of pelvic floor muscle training(PFMT)combined with electromyography biofeedback(EMG-BF)in patients with post-prostatectomy incontinence(PPI),aims to provide refer-ence for clinical nursing practice.Methods 98 patients with PPI who were treated at the urinary incontinence nurse-led clinic of a tertiary hospital in Shanghai were included using the method of convenience sampling.Patients enrolled from June to September 2022 were assigned to a control group(n=49),receiving PFMT alone at home.Those enrolled from November 2022 to February 2023 were assigned to an experimental group(n=49),receiving PFMT at home combined with EMG-BF at the nurse-led clinic.Both groups received intervention for 3 months,preceded by guidance for PFMT provided by incontinence specialist nurses.The urine leakage in 24-hour pad test,the International Consultation on Incontinence Questionnaire-Short Form(ICIQ-SF),the Incontinence Quality of Life Questionnaires(I-QOL),and the Broome Pelvic Muscle Self-Efficacy Scale(BPMSES)were used to assess objective and subjective incontinence severity,quality of life,and self-efficacy of PFMT on the day of catheter removal and at 1,2,and 3 months post-intervention.Results A total of 46 patients were included in each group.The 24-hour urine leakage volume and I-QOL scores demonstrated significant between-group and over-time effects(P<0.05),with no interaction effect between groups and time(P>0.05)The ICIQ-SF and BPMSES scores exhibited interactive ef-fects between time and groups(P<0.05).At 2 and 3 months post-intervention,the intervention group showed signifi-cantly lower ICIQ-SF scores(P<0.001),and higher BPMSES scores(P<0.05),compared to those in the control group.Conclusion PFMT combined with EMG-BF can effectively alleviate the objective and subjective severity of PPI,enhance patients'self-efficacy in PFMT,and improve their postoperative quality of life.
4.Correlations of functional connectivity and glucose metabolism of insular subregions with cognitive function in behavior variant of frontotemporal dementia patients
Sheng BI ; Zhigeng CHEN ; Yujie HE ; Hanxiao XUE ; Zhigang QI ; Jie MA ; Hongwei YANG ; Liyong WU ; Shaozhen YAN ; Jie LU
Chinese Journal of Medical Imaging Technology 2025;41(2):196-202
Objective To observe the functional connectivity and glucose metabolism of insular subregions in behavior variant of frontotemporal dementia(bvFTD)patients,also their correlations with cognitive function.Methods Thirty-eight bvFTD patients(bvFTD group)and 44 healthy individuals(control group)were retrospectively enrolled.The average time series signals of insular subregions were extracted as seed points based on functional MRI(fMRI)and 18F-FDG PET,then whole brain functional connectivity map was obtained.Meanwhile,the pons was selected as the reference brain region,and the standard uptake value ratio(SUVR)of insular subregions were calculated.The above parameters were compared between groups,and the correlations of SUVR of insular subregions with clinical cognitive function scale scores in bvFTD group were analyzed.Results Compared with control group,the functional connections between all insular subregions and bilateral frontal lobe,temporal lobe,anterior cingulate gyrus,anterior cingulate gyrus and middle cingulate gyrus,as well as between some subregions and bilateral parietal and occipital lobes were weakened in bvFTD group(GRF correction,voxel level all P<0.001,cluster level all P<0.05).SUVR of all insular subregions significantly decreased(GRF correction,voxel level all P<0.001,cluster level all P<0.05),which in right ventral agranular insula(vIa),dorsal agranular insula(dIa),dorsal dysgranular insula(dId)and left dorsal agranular insula(dIa)were negatively correlated with frontal behavioral inventory(FBI)score in bvFTD group(r=-0.452--0.330,all P<0.05).Conclusion In bvFTD patients,the functional connectivity and glucose metabolism of insular subregions changed,and SUVR of right vIa,dIa,dId and left dIa were negatively correlated with FBI score.
5.Change patterns of functional connectivity of basal forebrain subregions in Alzheimer disease patients
Yujie HE ; Shaozhen YAN ; Zhigeng CHEN ; Sheng BI ; Hanxiao XUE ; Bixiao CUI ; Jie MA ; Jie LU
Chinese Journal of Medical Imaging Technology 2025;41(5):701-705
Objective To observe the change patterns of functional connectivity(FC)of basal forebrain subregions in Alzheimer disease(AD)patients.Methods Totally 42 AD patients(AD group)and 41 healthy controls(HC group)were retrospectively enrolled.Seed-based FC analysis was performed on basal forebrain subregions(Ch123 and Ch4)based on their resting-state functional MRI data and compared between groups.Results Compared with HC group,FC between left Ch4 and left hippocampus as well as left posterior cingulate gyrus significantly decreased,but between right Ch4 and right precentral gyrus,as well as right postcentral gyrus increased in AD group(GRF correction,voxel level P<0.001,cluster level P<0.05).Meanwhile,FC between left Ch123 and left superior temporal gyrus,left insula,between right Ch123 and left superior temporal gyrus,left temporal pole significantly increased,while between right Ch123 and right orbital superior frontal gyrus,right orbital inferior frontal gyrus significantly decreased in AD group(GRF correction,voxel level P<0.001,cluster level P<0.05).Conclusion FC changes of different basal forebrain subregions in AD patients were various.
6.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.
7.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.
8.Construction of a severe asthma animal model
Di YANG ; Zhenhui LU ; Yuwei JIANG ; Cui LI ; Zifeng MA ; Yu WANG ; Linjin CHEN ; Tianxun LU ; Jie CUI
Acta Laboratorium Animalis Scientia Sinica 2025;33(4):467-478
Objective To develop an animal model that replicates the clinical phenotype of severe asthma.Methods Ovalbumin(OVA)combined with IL-33 or varying doses of lipopolysaccharides(LPS)was used to explore the construction of a severe asthma mouse model.Established model animals were assessed for lung function,number of inflammatory cells,and lung tissue pathology were assessed.Expression of key genes associated with severe asthma identified from the GEO database were validated in the new model.Results Compared with OVA alone,OVA combined with IL-33 or 5 μg LPS significantly increased airway resistance and the number of inflammatory cells in bronchoalveolar lavage fluid,and aggravated the pathological damage to lung tissues.The expression patterns of key genes in the newly constructed severe asthma models were consistent with those observed in clinical patients with severe asthma.Conclusions The modeling method of combining OVA with IL-33 or LPS(5 μg)can be used to construct experimentalanimal models of severe asthma.
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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