1.Sleep-related hypermotor epilepsy: A case report and literature review
Journal of Apoplexy and Nervous Diseases 2025;42(3):230-232
Sleep-related hypermotor epilepsy (SHE) is a rare type of epilepsy with a prevalence rate of approximately 1.8/100 000. This disease mainly manifests as complex motor behaviors during non-rapid eye movement sleep, such as leg kicking, arm waving, and sitting up. Since such symptoms are similar to non-epileptic disorders such as night terrors and sleepwalking and abnormal discharges may not be observed on electroencephalography, the diagnosis of SHE is quite challenging. Currently, there is still a lack of evidence from large-scale randomized controlled studies to support pharmacological treatment strategies for SHE, and related data in China remain scarce. This article reports a case of SHE, in order to provide a clinical reference for the diagnosis and medication treatment of this disease.
Polysomnography
2.Expression of NFAT5 and IGF1R in nasopharyngeal carcinoma tissues and analysis of clinical characteristics.
Jie YANG ; Qing WANG ; Fusheng LIN ; Lin GAO ; Ran ZHANG ; Xingqian ZHAO ; Xiaojiang LI
Journal of Clinical Otorhinolaryngology Head and Neck Surgery 2025;39(4):333-343
Objective:To investigate the expression of NFAT5 and IGF1R in nasopharyngeal carcinoma tissues and analyze their expression levels in relation to clinical features and prognosis. Methods:From January 1, 2019, to December 31, 2019, 69 cases of nasopharyngeal carcinoma tissues and adjacent non-cancerous tissues were collected from patients treated at Yunnan Cancer Hospital. Immunohistochemistry was employed to detect the expression of NFAT5 and IGF1R in nasopharyngeal carcinoma tissues. The Kaplan-Meier method was used to predict survival time, and the clinicopathological features were evaluated using the log-Rank test. Results:The positive expression rates of NFAT5 and IGF1R in nasopharyngeal carcinoma tissues were 87.0% and 84.5%, respectively. Compared to adjacent normal tissues, the expression levels of NFAT5 and IGF1R in nasopharyngeal carcinoma tissues were significantly increased (P<0.05). Furthermore, the expression of NFAT5 and IGF1R was positively correlated with T stage, N stage, skull base invasion, and cranial nerve palsy (P<0.05). The overexpression of NFAT5 and IGF1R significantly affected the survival rate of patients with nasopharyngeal carcinoma and was negatively correlated with prognosis (P<0.05). Conclusion:In nasopharyngeal carcinoma tissues, overexpression of NFAT5 and IGF1R is observed, which is closely linked to clinical features and patient outcomes. These markers may serve as valuable indicators for predicting the prognosis of nasopharyngeal carcinoma.
Humans
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Nasopharyngeal Carcinoma/pathology*
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Nasopharyngeal Neoplasms/metabolism*
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Prognosis
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Female
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Receptor, IGF Type 1/metabolism*
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Male
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Transcription Factors/metabolism*
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Middle Aged
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Survival Rate
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Adult
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Neoplasm Staging
3.Clinical characteristics and prognosis analysis of 108 cases of recurrent nasopharyngeal carcinoma from a single center.
Qing WANG ; Fusheng LIN ; Ran ZHANG ; Lin GAO ; Xingqian ZHAO ; Jie YANG ; Xiaojiang LI
Journal of Clinical Otorhinolaryngology Head and Neck Surgery 2025;39(8):743-748
Objective:Retrospective analysis of the correlation between clinicopathologic features and related indexes and prognosis in patients with recurrent nasopharyngeal carcinoma. Methods:One hundred and eight nasopharyngeal cancer(NPC) patients with post-treatment recurrence in Yunnan Cancer Hospital from January 2013 to January 2018 were collected, and the survival time was estimated by Kaplan-Meier method, and clinicopathological characteristics were analyzed by log-rank test; risk factors and prognosis were analyzed by Cox proportional risk model for single-factor and multifactorial analysis. A P-value <0.05 was considered statistically significant. Results:The median survival of all patients was 54 months, with a 3-year survival rate of 80.2% and a 5-year survival rate of 39.8%. The 5-year overall survival rate was 50.2% for patients >46 years old and 27.9% for patients ≤46 years old(P<0.05), a statistically significant difference. Univariate analysis showed that overall survival was associated with age, chemotherapy regimen, EBV early antigen IgA, plasma D-dimer, glycan antigen-125, γ-interferon, α-tumor necrosis factor, IL-10, and IL-4(P<0.05). Multifactorial analysis revealed that age, chemotherapy regimen, EBV early antigen IgA, plasma D-dimer, glycan antigen-125, and interleukin 10 were independent influences on the prognosis of recurrent nasopharyngeal carcinoma(P<0.05). Conclusion:Differences in chemotherapy regimens affect the prognosis of recurrent nasopharyngeal carcinoma. Elevated plasma D-dimer, glycan antigen 125, and interleukin 10 levels affect the overall survival of recurrent nasopharyngeal carcinoma, which may be a valid independent prognostic factor, and are expected to provide new biomarkers for nasopharyngeal carcinoma in the clinic.
Humans
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Prognosis
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Nasopharyngeal Neoplasms/mortality*
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Nasopharyngeal Carcinoma
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Retrospective Studies
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Neoplasm Recurrence, Local
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Male
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Middle Aged
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Female
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Survival Rate
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Adult
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Risk Factors
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Interleukin-10/blood*
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Aged
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Proportional Hazards Models
4.Correlation between plasma high-mobility group protein box 1 and the outcome after endovascular treatment in patients with acute large vessel occlusive stroke
Xin LIN ; Genghong XIA ; Xiaojiang DENG ; Miaodan LI ; Haiou LIANG ; Qindi ZHANG ; Liang ZHOU ; Jia YIN
International Journal of Cerebrovascular Diseases 2025;33(5):329-335
Objective:To investigate the dynamic changes of plasma high-mobility group box 1 (HMGB1) and its correlation with functional outcome and symptomatic intracranial hemorrhage (sICH) after endovascular treatment (EVT) in patients with acute large vessel occlusion stroke (ALVOS).Methods:Patients with ALVOS admitted to the Department of Neurology, Zengcheng District, Nanfang Hospital, Southern Medical University from June 2021 to April 2023 were included retrospectively. Plasma HMGB1 before EVT and at 6, 24, and 48 hours after procedure was detected, and the dynamic changes of plasma HMGB1 were compared and analyzed. The primary endpoint was the functional outcome evaluated using the modified Rankin Scale at 90 days of onset. A score of 0-2 was defined as good outcome and >2 was defined as poor outcome. The secondary endpoint was sICH, which was defined as the occurrence of hemorrhagic infarction after EVT and an increase of ≥4 in the National Institutes of Health Stroke Scale (NIHSS) score from baseline. Multivariate logistic regression analysis was used to evaluate the predictive value of HMGB1 for poor outcome and sICH. Results:A total of 73 patients with ALVOS received EVT were included. There were 54 males (74.0%), aged 62±12 years. The median time from onset to door was 90 minutes (interquartile range, 40-180 minutes), and the median time from onset to femoral artery puncture was 181 minutes (interquartile range, 140-280 minutes). Twenty-nine patients (39.7%) underwent bridging intravenous thrombolysis (IVT). At 90 days after onset, 37 patients (50.7%) had poor outcome, and 12 (16.4%) died during follow-up. Eleven patients (15.1%) developed sICH. After EVT, plasma HMGB1 showed a temporal increase, reaching its peak at 48 hours (median, 102.57 μg/L). Subgroup analysis showed that HMGB1 in the bridging IVT group at 6 hours ( P<0.05) and 24 hours ( P<0.05) after procedure were significantly higher than that at baseline. The non-bridging IVT group showed a significant increase at 6 hours after procedure ( P<0.05). There was no statistically significant difference in HMGB1 between the bridging IVT group and the non-bridging IVT group at the same time point. Multivariate logistic regression analysis showed that after adjusting for age, ischemic heart disease, triglycerides, uric acid, baseline NIHSS score, and sICH, the third quartile (adjusted odds ratio 7.087, 95% confidence interval 1.243-40.419; P=0.027) and fourth quartile (adjusted odds ratio 7.544, 95% confidence interval 1.260-45.172; P=0.027) of plasma HMGB1 were independent risk factors for poor outcome at 6 hours after procedure. The postoperative plasma HMGB1 in the sICH group was significantly higher than that in the non-sICH group ( P<0.05), but multivariate analysis showed no independent correlation between plasma HMGB1 and sICH. Conclusion:The elevation of plasma HMGB1 in patients with ALVOS at 6 hours after EVT is independently associated with poor outcome at 90 days after onset, but not with sICH.
5.Correlation analysis between the relative quantification of miR-200a in peritoneal dialysis effluent and peritoneal function in peritoneal dialysis patients
Hui YE ; Jiao HUANG ; Caixia YAN ; Siyu LI ; Jiaming JIANG ; Xiaojiang ZHAN ; Xin WEI
Chinese Journal of Nephrology 2025;41(11):859-863
This study was a single-center retrospective study, to investigate the correlation between the relative level of miR-200a in exfoliated cells of peritoneal dialysis (PD) effluent and clinical indicators of peritoneal function in PD patients. Clinical data of PD patients who underwent treatment in the Department of Nephrology, the First Affiliated Hospital of Nanchang University, from January 2024 to December 2024 were collected, and the relative level of miR-200a in exfoliated cells of PD effluent was assessed. Patients were divided into three groups according to dialysis duration (Group A:≤1 year; Group B:>1 to <5 years; Group C:≥5 years), and differences in clinical data among the groups were compared. The correlation between the relative level of miR-200a and serum albumin, serum calcium, serum phosphorus, serum creatinine, hemoglobin, the neutrophil/high-density lipoprotein cholesterol ratio, the monocyte/high-density lipoprotein cholesterol ratio, the lymphocyte/high-density lipoprotein cholesterol ratio, and 24-hour urine volume in PD patients was analyzed. The results showed that there were no statistically significant differences among the three groups in gender, age, creatinine clearance rate, or Kt/V (all P>0.05). However, statistically significant differences were found among the three groups in peritoneal transport type ( χ2=13.518, P=0.001) and ultrafiltration volume ( H=6.905, P=0.032). Based on the 4-hour PD effluent creatinine/blood creatinine in the peritoneal equilibration test, patients were divided into the low transporter/low average transporter group (L group) and the high transporter/high average transporter group (H group). A statistically significant difference in the relative level of miR-200a was observed between the two groups [11.70 (1.09, 20.49) vs. 0.73 (0.46, 1.98), t=4.545, P<0.001]. The relative level of miR-200a was positively correlated with ultrafiltration volume and 24-hour urine output ( r=0.328, P=0.030; r=0.516, P<0.001), and negatively correlated with dialysis vintage ( r=-0.496, P<0.001). These results indicate that miR-200a level in PD effluent may, to some extent, reflect patients' peritoneal membrane function.
6.Changing resistance profiles of Haemophilus influenzae and Moraxella catarrhalis isolates in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Hui FAN ; Chunhong SHAO ; Jia WANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Yunsheng CHEN ; Qing MENG ; Hong ZHANG ; Chun WANG ; Fang DONG ; Wenqi SONG ; Kaizhen WEN ; Yirong ZHANG ; Chuanqing WANG ; Pan FU ; Chao ZHUO ; Danhong SU ; Jiangwei KE ; Shuping ZHOU ; Hua ZHANG ; Fangfang HU ; Mei KANG ; Chao HE ; Hua YU ; Xiangning HUANG ; Yingchun XU ; Xiaojiang ZHANG ; Wenen LIU ; Yanming LI ; Lei ZHU ; Jinhua MENG ; Shifu WANG ; Bin SHAN ; Yan DU ; Wei JIA ; Gang LI ; Jiao FENG ; Ping GONG ; Miao SONG ; Lianhua WEI ; Xin WANG ; Ruizhong WANG ; Hua FANG ; Sufang GUO ; Yanyan WANG ; Dawen GUO ; Jinying ZHAO ; Lixia ZHANG ; Juan MA ; Han SHEN ; Wanqing ZHOU ; Ruyi GUO ; Yan ZHU ; Jinsong WU ; Yuemei LU ; Yuxing NI ; Jingrong SUN ; Xiaobo MA ; Yanqing ZHENG ; Yunsong YU ; Jie LIN ; Ziyong SUN ; Zhongju CHEN ; Zhidong HU ; Jin LI ; Fengbo ZHANG ; Ping JI ; Yunjian HU ; Xiaoman AI ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Xuesong XU ; Chao YAN ; Yi LI ; Shanmei WANG ; Hongqin GU ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Jihong LI ; Bixia YU ; Cunshan KOU ; Jilu SHEN ; Wenhui HUANG ; Xiuli YANG ; Likang ZHU ; Lin JIANG ; Wen HE ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(1):30-38
Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91%of the total clinical isolates and 4.07%of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89%were isolated from children and 33.11%were isolated from adults.More than 90%of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79%in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06%were isolated from children and 19.94%isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0%.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.
7.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.
8.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.
9.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.
10.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.

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