1.Empirical study of input, output, outcome and impact of community-based rehabilitation stations
Xiayao CHEN ; Ying DONG ; Xue DONG ; Zhongxiang MI ; Jun CHENG ; Aimin ZHANG ; Didi LU ; Jun WANG ; Jude LIU ; Qianmo AN ; Hui GUO ; Xiaochen LIU ; Zefeng YU
Chinese Journal of Rehabilitation Theory and Practice 2026;32(1):83-89
ObjectiveTo investigate the present situation of input, output, outcome and impact of all registered community-based rehabilitation stations in Inner Mongolia in China, and analyze how the input predict the output, outcome and impact. MethodsFrom March 1st to April 30th, 2025, a questionnaire survey was conducted on all registered community-based rehabilitation stations in Inner Mongolia, covering four dimensions: input, output, outcome and impact. A total of 1 365 questionnaires were distributed. The input included four items: laws and policies, human resources, equipment and facilities, and rehabilitation information management. The output included two items: technical paths and benefits/effectiveness. The outcome included three items: coverage rates, rehabilitation interventions and functional results. The impact included two items: health and sustainability. Each item contained several questions, all of which were described in a positive way. Each question was scored from one to five. A lower score indicated that the situation of the community-based rehabilitation station was more in line with the content described in the question. Regression analysis was performed using the total score of each item of input dimension as independent variables, and the total scores of the output, outcome and impact dimensions as dependent variables. ResultsA total of 1 262 valid questionnaires were collected. The mean values of input, output, outcome and impact of community-based rehabilitation stations were 1.827 to 1.904, with coefficient of variation of 45.892% to 49.239%. The regression analysis showed that, rehabilitation information management, human resources, and laws and policies significantly predicted the output dimension (R² = 0.910, P < 0.001). Meanwhile, all four items in the input dimension predicted both the outcome (R² = 0.850, P < 0.001) and impact dimensions (R² = 0.833, P < 0.001). ConclusionInput, output, outcome and impact of the community-based rehabilitation stations in Inner Mongolia were generally in line with the content of the questions, although some imbalances were observed. Additionally, the input of community-based rehabilitation stations could significantly predict their output, outcome and impact.
2.Effects of Modified Buyang Huanwu Tang on Mice with Cerebral Ischemia-reperfusion Injury by Regulating PINK1/Parkin Signaling Pathway-mediated Mitochondrial Autophagy
Li GUO ; Hengwen CHEN ; Cun ZHAN ; Zhenzhen YING ; Zuomin WU ; Shaoju JIN ; Shangmei CAO ; Shengming HUANG ; Jin WANG ; Xiaotao YU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(11):34-43
ObjectiveTo investigate the effects of modified Buyang Huanwu Tang on cerebral ischemia-reperfusion injury (CI/RI) in mice via the PTEN-induced putative kinase 1/E3 ubiquitin ligase (PINK1/Parkin) signaling pathway-mediated mitophagy, and to explore the underlying mechanism by which modified Buyang Huanwu Tang improves CI/RI. MethodsSeventy-two male C57BL/6J mice were randomly divided into six groups (n = 12 per group): Sham-operated group, middle cerebral artery occlusion/reperfusion (MCAO/R) model group, low-, medium-, and high-dose modified Buyang Huanwu Tang groups (8.84, 17.68, 35.36 g·kg-1·d-1), and an aspirin group (13.00 mg·kg-1·d-1). Neurological deficit scores were assessed using the Zea-Longa method. Cerebral infarct volume ratio was measured by 2,3,5-triphenyltetrazolium chloride (TTC) staining. Histopathological changes and neuronal injury in brain tissues were observed using hematoxylin-eosin (HE) staining and Nissl staining. Apoptosis was detected by terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling (TUNEL) assay. Mitochondrial ultrastructure in brain tissue was observed by transmission electron microscopy (TEM). Serum levels of superoxide dismutase (SOD) and malondialdehyde (MDA) were determined by enzyme-linked immunosorbent assay (ELISA). The mRNA and protein expression levels of PINK1, Parkin, microtubule-associated protein 1 light chain 3B (LC3B, LC3Ⅱ/Ⅰ), and p62 in brain tissues were detected by real-time quantitative reverse transcription PCR (Real-time PCR) and Western blot, respectively. ResultsCompared with the sham-operated group, the MCAO/R model group showed significantly increased neurological deficit scores and cerebral infarct volume ratios (P<0.01). Severe cortical injury on the infarct side was observed, characterized by decreased neuronal density, cytoplasmic vacuolation, nuclear pyknosis, a marked reduction in Nissl bodies, dissolution of Nissl bodies in the cytoplasm of some pyramidal neurons, and blurred cellular boundaries. The number of TUNEL-positive cells increased significantly (P<0.01). Mitochondria exhibited cristae membrane rupture and matrix vacuolation, with rupture of the outer mitochondrial membrane and formation of autophagosomes, the number of which increased significantly. Serum SOD activity decreased significantly (P<0.01), while MDA content increased significantly (P<0.01). In infarcted brain tissues of model mice, the relative mRNA expression and protein levels of PINK1, Parkin and LC3B were significantly increased (P<0.05, P<0.01), whereas p62 mRNA and protein expression were significantly decreased (P<0.05, P<0.01), showing statistical significance. Compared with the model group, all treatment groups showed significantly decreased neurological deficit scores and cerebral infarct volume ratios (P<0.01). Neuronal density increased significantly, cytoplasmic vacuolation was alleviated, nuclear morphology tended to be more regular and clearer, Nissl body density increased significantly with reduced dissolution and improved contour clarity. The mitochondrial cristae structure was partially restored, with some mitochondria showing autophagosome encapsulation, and the degree of mitochondrial damage was alleviated. Serum SOD activity increased significantly (P<0.01), while MDA content decreased significantly. The mRNA and protein expression levels of PINK1, Parkin, and LC3Ⅱ/Ⅰ were significantly increased (P<0.05, P<0.01), while p62 mRNA and protein expression in the low- and medium-dose modified Buyang Huanwu Tang groups were significantly decreased (P<0.05, P<0.01), showing statistical significance. ConclusionModified Buyang Huanwu Tang can upregulate the protein expression levels of PINK1, Parkin, and LC3Ⅱ/Ⅰ and downregulate p62 protein expression, suggesting that it may improve CI/RI by regulating the expression of proteins related to the PINK1/Parkin signaling pathway. Regulation of the mitophagy pathway may be one of the mechanisms by which modified Buyang Huanwu Tang alleviates CI/RI in mice.
3.Harnessing Machine Learning for Personalized Care of Patients With Idiopathic Sudden Sensorineural Hearing Loss: A Multicenter Cohort Study
Yen-Ting GUO ; Ching-Ting TAN ; Chen-Chi WU ; Chun-Ying WANG ; Chein-Yu HUANG ; Tzu-Hsiang YANG ; Ting-Yi LEE ; Ting-Hua YANG ; Tien-Chen LIU ; Pey-Yu CHEN ; Pei-Hsuan LIN
Clinical and Experimental Otorhinolaryngology 2026;19(2):194-204
Objectives:
. Idiopathic sudden sensorineural hearing loss (ISSNHL) is a significant cause of hearing loss. Intratympanic steroid injection (ITSI) is commonly used as an initial or salvage treatment; however, the lack of a standardized treatment protocol has resulted in variability in clinical practice. In addition, no efficient prediction model currently exists to support personalized management. Therefore, this study aimed to develop tailored management strategies for ISSNHL using a machine-learning model.
Methods:
. This retrospective multicenter cohort study was conducted between January 2015 and December 2020, with data analysis performed between January 2021 and March 2024. Patients were selected based on the International Classification of Diseases, 10th Revision criteria for ISSNHL, along with relevant medication and procedure codes. Patients with pure-tone audiogram results not meeting ISSNHL criteria, better initial hearing in the affected ear, an identifiable etiology, no post-treatment audiogram, or delayed treatment (>6 weeks) were excluded. We included 770 patients diagnosed with ISSNHL who received ITSI. The primary outcome was the area under the receiver operating characteristic curve for prediction performance. Recovery status was determined using the last pure-tone audiogram. Modeling was conducted on the Quanta for Medical Care AI platform using five machine-learning algorithms and a nested cross-validation framework, in which feature selection and hyperparameter tuning were performed in the inner folds and model performance was evaluated in the outer folds.
Results:
. A random forest classifier outperformed the other models in predicting hearing outcomes, achieving an area under the receiver operating characteristic curve of 0.788. Time to ITSI was the most influential treatment-related factor, with ITSI administered within 10 days of hearing loss being associated with better outcomes. This model can be used to provide personalized prognostic estimates under different treatment protocols.
Conclusion
. The machine-learning-based prediction model facilitates personalized treatment strategies and timely treatment adjustments for ISSNHL, thereby optimizing the likelihood of complete recovery.
4.Construction and Validation of Integrated Traditional Chinese and Western Medicine Risk Prediction Model for Carotid Artery Plaques in 3 009 Individuals with High-risk of Stroke
Shuqi QIN ; Xiangyu GUO ; Weihao YANG ; Yang CHEN ; Ying YU ; Limin HE ; Jialin WANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(20):242-250
ObjectiveTo construct a risk prediction model for carotid artery plaques in high-risk populations of stroke based on five machine learning methods. MethodsThe clinical information of the high-risk population of stroke was collected. Factor analysis and statistical analysis of syndrome elements were conducted on their traditional Chinese medicine (TCM) symptoms and tongue and pulse manifestations. On the basis of the results of factor analysis and variable screening, five machine learning methods-classification and regression tree (CART) decision tree, support vector machine (SVM), back propagation(BP) neural network, logistic regression, and random forest-were used to construct the risk prediction model for carotid artery plaques. ResultsThe most common TCM syndrome elements in the high-risk population of stroke was Qi deficiency. The scores of Qi deficiency, Yin deficiency, and Yang deficiency in the population with carotid artery plaques were higher than those without carotid artery plaques (P<0.05). The CART decision tree, SVM, logistic regression, BP neural network, and random forest models showed the areas under the receiver operating characteristic (ROC) curves of 0.71, 0.75, 0.76, 0.76, and 0.75, the accuracy rates of 68.94%, 69.27%, 69.44%, 70.10%, and 69.60%, the precision rates of 68.56%, 68.53%, 68.75%, 69.74%, and 69.42%, the recall rates of 68.91%, 67.93%, 67.92%, 68.10%, and 67.31%, and the F1 values of 0.69, 0.68, 0.68, 0.68, and 0.68, respectively. ConclusionAmong the high-risk population of stroke, the most frequently distributed TCM syndrome element is Qi deficiency, with the rest mainly being fire heat, Yin deficiency, Yang deficiency, phlegm dampness, blood stasis, and Qi stagnation. Deficiency syndrome may be a major factor leading to carotid artery plaques in the high-risk population of stroke. The BP neural network model demonstrates better performance in predicting the risk of carotid artery plaques in the high-risk population of stroke. People with carotid artery plaques are more likely to present with symptoms such as a heavy head, dizziness, headache, and thready pulse. The primary community benefits more widely when the BP neural network model is adopted to predict the risk of carotid artery plaques in the high-risk population of stroke over 40 years old.
5.Construction and Validation of Integrated Traditional Chinese and Western Medicine Risk Prediction Model for Carotid Artery Plaques in 3 009 Individuals with High-risk of Stroke
Shuqi QIN ; Xiangyu GUO ; Weihao YANG ; Yang CHEN ; Ying YU ; Limin HE ; Jialin WANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(20):242-250
ObjectiveTo construct a risk prediction model for carotid artery plaques in high-risk populations of stroke based on five machine learning methods. MethodsThe clinical information of the high-risk population of stroke was collected. Factor analysis and statistical analysis of syndrome elements were conducted on their traditional Chinese medicine (TCM) symptoms and tongue and pulse manifestations. On the basis of the results of factor analysis and variable screening, five machine learning methods-classification and regression tree (CART) decision tree, support vector machine (SVM), back propagation(BP) neural network, logistic regression, and random forest-were used to construct the risk prediction model for carotid artery plaques. ResultsThe most common TCM syndrome elements in the high-risk population of stroke was Qi deficiency. The scores of Qi deficiency, Yin deficiency, and Yang deficiency in the population with carotid artery plaques were higher than those without carotid artery plaques (P<0.05). The CART decision tree, SVM, logistic regression, BP neural network, and random forest models showed the areas under the receiver operating characteristic (ROC) curves of 0.71, 0.75, 0.76, 0.76, and 0.75, the accuracy rates of 68.94%, 69.27%, 69.44%, 70.10%, and 69.60%, the precision rates of 68.56%, 68.53%, 68.75%, 69.74%, and 69.42%, the recall rates of 68.91%, 67.93%, 67.92%, 68.10%, and 67.31%, and the F1 values of 0.69, 0.68, 0.68, 0.68, and 0.68, respectively. ConclusionAmong the high-risk population of stroke, the most frequently distributed TCM syndrome element is Qi deficiency, with the rest mainly being fire heat, Yin deficiency, Yang deficiency, phlegm dampness, blood stasis, and Qi stagnation. Deficiency syndrome may be a major factor leading to carotid artery plaques in the high-risk population of stroke. The BP neural network model demonstrates better performance in predicting the risk of carotid artery plaques in the high-risk population of stroke. People with carotid artery plaques are more likely to present with symptoms such as a heavy head, dizziness, headache, and thready pulse. The primary community benefits more widely when the BP neural network model is adopted to predict the risk of carotid artery plaques in the high-risk population of stroke over 40 years old.
6.Compound sabal berry tablets for the treatment of overactive bladder symptoms after laser enucleation of the prostate in patients with benign prostatic hyperplasia
Gai HANG ; Quan WEN ; Ying LIU ; Yunpeng GUO ; Yuyang WANG ; Zhiyu YU ; Bo CHEN
Chinese Journal of Primary Medicine and Pharmacy 2025;32(9):1315-1319
Objective:To investigate the clinical efficacy of compound sabal berry tablets on overactive bladder symptoms in patients with benign prostatic hyperplasia after transurethral laser enucleation of the prostate.Methods:This study was a prospective study. Eighty patients with benign prostatic hyperplasia who underwent laser enucleation at Tongliao People's Hospital from January 2024 to December 2024 were included in this study. The patients were randomly divided into a study group and a control group using the random number table method, with 40 patients per group. The control group received 0.2 mg of tolterodine tartrate tablets twice a day after surgery. The study group was given compound sabal berry tablets (0.5 g orally three times a day) in addition to the treatment provided to the control group. Both groups of patients were treated for 4 weeks after surgery. The clinical efficacy of the two groups was compared, including the International Prostate Symptom Score (IPSS), Overactive Bladder Symptom Score (OABSS), Maximum Postoperative Urinary Flow Rate (Qmax), Post-Void Residual (PVR), and the incidence of postoperative bladder irritative symptoms.Results:The differences in the preoperative indicators, including IPSS, OABSS, Qmax, and PVR, between the two groups were not statistically significant (all P > 0.05). Preoperatively, in the control group, Qmax was (8.64 ± 2.83) mL/s, IPSS was (25.10 ± 4.37), OABSS was (10.52 ± 1.87), and PVR was (80.70 ± 6.34) mL; in the study group, the respective values were (9.12 ± 2.95) mL/s, (24.60 ± 4.53), (10.83 ± 1.73), and (80.10 ± 5.61) mL. Postoperatively, in the control group, Qmax was (20.30 ± 3.65) mL/s, IPSS was (8.50 ± 1.58), OABSS was (4.09 ± 0.52), and PVR was (9.70 ± 2.48) mL, while in the study group, the respective values were (21.40 ± 4.38) mL/s, (7.40 ± 1.76), (1.71 ± 0.36), and (9.00 ± 1.75) mL. Postoperatively, both groups showed a significant increase in Qmax, while IPSS, OABSS, and PVR all significantly decreased (all P < 0.05). Postoperatively, the IPSS and OABSS in the study group were significantly lower than those in the control group ( t = -3.28, -25.89, both P < 0.05). However, there were no statistically significant differences in Qmax and PVR between the two groups (both P > 0.05). The incidence of bladder irritative symptoms in the study group [12.50% (5/40)] was significantly lower than that in the control group [35.00% (14/40), χ2 = 8.64, P < 0.05]. Conclusions:Compound sabal berry tablets can reduce postoperative prostate symptoms and overactive bladder symptoms in patients undergoing transurethral laser enucleation of the prostate for benign prostatic hyperplasia, demonstrating a certain clinical efficacy.
7.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.
8.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.
9.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.
10.Clinical features and prognosis of patients with primary sclerosing cholangitis:An analysis of 107 cases
Tongtong MENG ; Weijia DUAN ; Xinyu LI ; Junqi NIU ; Huiguo DING ; Ying HAN ; Wen XIE ; Lu ZHOU ; Bangmao WANG ; Liping GUO ; Jie LI ; Bei JIA ; Lingyi ZHANG ; Liang WANG ; Xiaoqian XU ; Yu WANG ; Xiaojuan OU ; Xinyan ZHAO ; Hong YOU ; Jidong JIA ; Yuanyuan KONG
Journal of Clinical Hepatology 2025;41(7):1337-1343
Objective To describe the clinical features of patients with primary sclerosing cholangitis(PSC)in China based on a nationwide multicenter patient cohort,and to investigate the risk factors for prognosis.Methods A retrospective cohort study was conducted among the patients with a confirmed diagnosis of PSC based on the electronic medical record system of seven grade A tertiary hospitals across the country,and related data were extracted.The Mann-Whitney U test was used for comparison of continuous data between groups,and the chi-square test was used for comparison of categorical data between groups.The Kaplan-Meier method was used to estimate liver transplant-free survival,and the log-rank test was used for comparison of survival rate between PSC patients with different features.The Cox regression model was used to identify independent risk factors for the prognosis of PSC patients and the interactions between key factors.Results A total of 107 patients were enrolled,among whom 55.6%(55/99)had large-duct PSC and 29.0%(31/107)had comorbidity with inflammatory bowel disease(IBD).The positivity rate of anti-neutrophil cytoplasmic antibody(ANCA)was 32.9%(24/73),and 50.0%(40/80)of the patients had an increase in IgG/IgM.The median symptom-to-diagnosis interval was 1 year(<1-4.0),and 38.3%(41/107)of the patients had progressed to decompensated cirrhosis at the time of diagnosis.The median liver transplant-free survival time was 114 months(95%confidence interval[CI]:62-166),with a 5-year survival rate of 65.7%.The multivariate analysis showed that an increase in total bile acid(TBA)(hazard ratio[HR]=1.006,95%CI:1.002-1.010,P=0.001)and a prolonged symptom-to-diagnosis interval(HR=1.252,95%CI:1.059-1.480,P=0.009)were independent risk factors for prognosis.The interaction analysis showed that compared with the female patients with TBA<50 μmol/L,both male and female patients with TBA≥50 μmol/L had a significant increase in the risk of liver transplantation or death(male:HR=16.563,95%CI:2.103-130.449,P<0.001;female:HR=17.009,95%CI:2.113-136.934,P<0.001),and compared with the patients with an age of<45 years and a TBA level of<50 μmol/L,the patients with an age of≥45 years and a TBA level of≥50 μmol/L had a significant increase in the risk of liver transplantation or death(HR=10.729,95%CI:1.325-86.859,P=0.026).Compared with the female patients with an symptom-to-diagnosis interval of≤2 years,the male patients with a symptom-to-diagnosis interval of>2 years had an increased risk of liver transplantation or death(HR=4.825,95%CI:1.725-13.644,P=0.003),and compared with the patients with an age of<45 years and a symptom-to-diagnosis interval of≤2 years,the patients with an age of<45 years and a symptom-to-diagnosis interval of>2 years had an increased risk of liver transplantation or death(HR=4.983,95%CI:1.366-18.173,P=0.015).Conclusion Compared with the reports from Western countries,large-duct PSC is also the main type of PSC in China,but with a relatively low proportion,and there is also a relatively low proportion of patients with IBD or positive ANCA.An increase in TBA and a prolonged symptom-to-diagnosis interval are independent risk factors for prognosis,with significant interactions with age and sex.This suggests that early screening and intervention should be enhanced to improve prognosis.

Result Analysis
Print
Save
E-mail