1.Standardization of outpatient medical record in rehabilitation setting
Ye LIU ; Qing QIN ; Haiyan YE ; Yifan TIAN ; Yingxin ZHANG ; Yaru YANG ; Zhongyan WANG ; Meng ZHANG ; Xiaoxie LIU ; Yanyan YANG ; Bin ZENG ; Mouwang ZHOU ; Yuxiao XIE ; Guangxu XU ; Jiejiao ZHENG ; Mingsheng ZHANG ; Xiangming YE ; Fubiao HUANG ; Qiuchen HUANG ; Yiji WANG ; Di CHEN ; Zhuoying QIU
Chinese Journal of Rehabilitation Theory and Practice 2025;31(1):45-54
ObjectiveTo analyze the data structure and standards of rehabilitation outpatient medical records, to provide data support for improving the quality of rehabilitation outpatient care and developing medical insurance payment policies. MethodsBased on the normative documents issued by the National Health Commission, Basic Standards for Medical Record Writing and Standards for Electronic Medical Record Sharing Documents, in accordance with the Quality Management Regulations for Outpatient (Emergency) Diagnosis and Treatment Information Pages (Trial), reference to the framework of the World Health Organization Family of International Classifications (WHO-FICs), the data framework and content of rehabilitation outpatient medical records were determined, and the data standards were discussed. ResultsThis study constructed a data framework for rehabilitation outpatient medical records, including four main components: patient basic information, visit process information, diagnosis and treatment information, and cost information. Three major reference classifications of WHO-FICs, International Classification of Diseases, International Classification of Functioning, Disability and Health, and International Classification of Health Interventions,were used to establish diagnostic standards and standardized terminology, as well as coding disease diagnosis, functional description, functional assessment, and rehabilitation interventions, to improve the quality of data reporting, and level of quality control in rehabilitation. ConclusionThe structuring and standardization of rehabilitation outpatient medical records are the foundation for sharing of rehabilitation data. The using of the three major classifications of WHO-FICs is valuable for the terminology and coding of disease diagnosis, functional description and assessment, and intervention in rehabilitation outpatient medical records, which is significant for sharing and interconnectivity of rehabilitation outpatient data, as well as for optimizing the quality and safety of rehabilitation medical services.
2.Structure, content and data standardization of inpatient rehabilitation medical record summary sheet
Haiyan YE ; Qing QIN ; Ye LIU ; Yifan TIAN ; Yingxin ZHANG ; Yaru YANG ; Zhongyan WANG ; Meng ZHANG ; Xiaoxie LIU ; Yanyan YANG ; Bin ZENG ; Mouwang ZHOU ; Yuxiao XIE ; Guangxu XU ; Jiejiao ZHENG ; Mingsheng ZHANG ; Xiangming YE ; Fubiao HUANG ; Qiuchen HUANG ; Yiji WANG ; Di CHEN ; Zhuoying QIU
Chinese Journal of Rehabilitation Theory and Practice 2025;31(1):55-66
ObjectiveTo explore the standardization of inpatient rehabilitation medical record summary sheet, encompassing its structure, content and data standards, to enhance the standardization level of inpatient rehabilitation medical record summary sheet, improve data reporting quality, and provide accurate data support for medical insurance payment, hospital performance evaluation, and rehabilitation discipline evaluation. MethodsBased on the relevant specifications of the National Health Commission's Basic Norms for Medical Record Writing, Specifications for Sharing Documents of Electronic Medical Records, and Quality Management and Control Indicators for Inpatient Medical Record Summary Sheet (2016 Edition), this study analyzed the structure and content of the inpatient rehabilitation medical record summary sheet. The study systematically applied the three major reference classifications of the World Health Organization Family of International Classifications, International Classification of Diseases (ICD-10/ICD-11, ICD-9-CM-3), International Classification of Functioning, Disability and Health (ICF), and International Classification of Health Interventions (ICHI Beta-3), for disease diagnosis, functional description and assessment, and rehabilitation intervention, forming a standardized terminology system and coding methods. ResultsThe inpatient rehabilitation medical record summary sheet covered four major sections: inpatient information, hospitalization information, diagnosis and treatment information, and cost information. ICD-10/ICD-11 were the standards and coding tools for admission and discharge diagnoses in the inpatient rehabilitation medical record summary sheet. The three functional assessment tools recommended by ICD-11, the 36-item version of World Health Organization Disability Assessment Schedule 2.0, Brief Model Disability Survey and Generic Functioning domains, as well as ICF, were used for rehabilitation functioning assessment and the coding of outcomes. ICHI Beta-3 and ICD-9-CM-3 were used for coding surgical procedures and operations in the medical record summary sheet, and also for coding rehabilitation intervention items. ConclusionThe inpatient rehabilitation medical record summary sheet is a summary of the relevant content of the rehabilitation medical record and a tool for reporting inpatient rehabilitation data. It needs to be refined and optimized according to the characteristics of rehabilitation, with necessary data supplemented. The application of ICD-11/ICD-10, ICF and ICHI Beta-3/ICD-9-CM-3 classification standards would comprehensively promote the accuracy of inpatient diagnosis of diseases and functions. Based on ICD-11 and ICF, relevant functional assessment result data would be added, and ICHI Beta-3/ICD-9-CM-3 should be used to code rehabilitation interventions. Improving the quality of rehabilitation medical records and inpatient rehabilitation medical record summary sheet is an important part of rehabilitation quality control, and also lays an evidence-based data foundation for the analysis and application of inpatient rehabilitation medical record summary sheet.
3.Health-related quality of life among elderly patients with metabolic syndrome
DENG Tianrui ; WANG Zhiyong ; YE Qing ; TANG Wei ; YANG Bin ; XU Fei
Journal of Preventive Medicine 2025;37(4):325-330
Objective:
To investigate the health-related quality of life and its influencing factors in elderly patients with metabolic syndrome (MS), so as to provide the evidence for improving health-related quality of life in older adults with chronic diseases.
Methods:
In 2021, elderly MS patients aged ≥60 years from four districts in Nanjing City were selected as the study subjects using a multi-stage random sampling method. Data on social demographic information, lifestyle, disease history and blood biochemical indicators were collected through questionnaire surveys, physical examination and laboratory tests. Health utility value and EuroQol Visual Analog Scale (EQ-VAS) score were assessed using the EuroQol 5-dimension 3-level questionnaire. Factors affecting health-related quality of life were identified with the Tobit regression model and multiple linear regression model.
Results:
A total of 3 378 elderly MS patients were included, with a median age of 67.00 (interquartile range, 7.00) years. There were 1 558 males (46.12%) and 1 820 females (53.88%). The median (interquartile range) of health utility value and EQ-VAS score were 1.00 (0.03) and 80.00 (15.00). Tobit regression and multiple linear regression analysis showed that gender (female, β=-0.034), education level (middle school, β=0.024; junior college and above, β=0.046), marital status (married, β=0.014), physical activity (sufficient, β=0.013), vegetable intake (meet standard, β=-0.009) and fruit intake (meet standard, β=0.016) were the influencing factors of health utility value. Residence (urban area, β=1.933) and alcohol consumption (yes, β=1.761) were influencing factors of EQ-VAS score. Age, cardiovascular and cerebrovascular diseases, malignant tumors and chronic respiratory diseases were the influencing factors of health utility value and EQ-VAS score.
Conclusion
Age, sex, marital status, residence, lifestyle and disease are mainly associatied with the health-related quality of life in elderly MS patients.
4.Tildrakizumab for moderate-to-severe plaque psoriasis in Chinese patients: A 12-week randomized placebo-controlled phase III trial with long-term extension
Chen YU ; Songmei GENG ; Bin YANG ; Yunhua DENG ; Fuqiu LI ; Xiaojing KANG ; Mingye BI ; Furen ZHANG ; Yi ZHAO ; Weili PAN ; Zhongwei TIAN ; Jinhua XU ; Zhenghua ZHANG ; Nan YU ; Xinsuo DUAN ; Shuping GUO ; Qing SUN ; Weiquan LI ; Juan TAO ; Zhijun LIU ; Yuanyuan YIN ; Gang WANG
Chinese Medical Journal 2024;137(10):1190-1198
Background::There is a need for effective and safe therapies for psoriasis that provide sustained benefits. The aim of this study was to assess the efficacy and safety of tildrakizumab, an anti-interleukin-23p19 monoclonal antibody, for treating moderate-to-severe plaque psoriasis in Chinese patients.Methods::In this multi-center, double-blind, phase III trial, patients with moderate-to-severe plaque psoriasis were enrolled and randomly assigned (1:1) to receive subcutaneous tildrakizumab 100 mg or placebo at weeks 0 and 4. Patients initially assigned to placebo were switched to receive tildrakizumab at weeks 12, 16, and every 12 weeks thereafter. Patients in the tildrakizumab group continued with tildrakizumab at week 16, and every 12 weeks until week 52. The primary endpoint was the Psoriasis Area and Severity Index (PASI 75) response rate at week 12.Results::At week 12, tildrakizumab demonstrated significantly higher PASI 75 response rates (66.4% [73/110] vs. 12.7% [14/110]; difference, 51.4% [95% confidence interval (CI), 40.72, 62.13]; P <0.001) and Physician’s Global Assessment (60.9% [67/110] vs. 10.0% [11/110]; difference, 49.1% [95% CI, 38.64, 59.62]; P <0.001) compared to placebo. PASI 75 response continued to improve over time in both tildrakizumab and placebo-switching to tildrakizumab groups, reaching maximal efficacy after 28 weeks (86.8% [92/106] vs. 82.4% [89/108]) and maintained up to 52 weeks (91.3% [95/104] vs. 87.4% [90/103]). Most treatment-emergent adverse events were mild and not related to tildrakizumab. Conclusion::Tildrakizumab demonstrated durable efficacy through week 52 and was well tolerated in Chinese patients with moderate-to-severe plaque psoriasis.Trial registration::ClinicalTrials.gov, NCT05108766.
5.LncRNA UNC5B-AS1 regulates malignant biological behavior of osteosarcoma cells through NF-κB signaling pathways
Qing-Lin YANG ; Huai-Bin ZHANG ; Zhi-Jie LAN ; Qing-Qing QIN ; Yi-Kun WANG ; Yong-Ping WANG
Chinese Pharmacological Bulletin 2024;40(6):1082-1088
Aim To investigate the possible mecha-nism of UNC5B-AS1 in regulating the malignant biolog-ical behavior of osteosarcoma cells.Methods RT-qPCR was used to detect the expression of UNC5B-AS1 in osteosarcoma cells MG63,osteosarcoma cells U2OS and osteoblast cells hFOB1.19.After overexpression and knockdown of UNC5B-AS1 in osteosarcoma cells,the proliferation,migration and apoptosis of osteosarco-ma cells were detected by CCK-8 assay,Transwell as-say and flow cytometry,respectively.At the same time,RT-qPCR and Western blot were used to detect the effects of UNC5B-AS1 overexpression and knock-down on the mRNA and protein expression of key fac-tors in the NF-κB signaling pathway.Results Com-pared with normal osteoblast hFOB1.19,UNC5B-AS1 expression was differentially increased in osteosarcoma cells MG63 and U2OS.Overexpression of UNC5B-AS1 significantly promoted the proliferation of osteosarcoma cells and significantly increased the migration ability of osteosarcoma cells,while the apoptosis rate markedly decreased,and NF-κB signaling pathway-related mR-NA and protein expressions apparently increased.Knockdown of UNC5B-AS1 evidently inhibited the pro-liferation of osteosarcoma cells and significantly re-duced the migration ability of osteosarcoma cells,while the apoptosis rate markedly increased,the NF-κB sig-naling pathway related mRNA and protein expression significantly reduced.Conclusions lncRNA UNC5B-AS1 is highly expressed in osteosarcoma cells,which may affect the malignant biological behavior of osteo-sarcoma cells by activating the NF-κB signaling path-way.
6.Effects of emetine on insulin secretion in rat islets through GLP-1R
Huan XUE ; Zhi-Hong LU ; Bin WANG ; Si-Ting YU ; Xi ZHANG ; Bin HU ; Qing-Xuan ZENG ; Yi ZHANG
Chinese Pharmacological Bulletin 2024;40(7):1267-1272
Aim To study the effect of emetine on in-sulin secretion through glucagon-like peptide-1 receptor(GLP-1R).Methods Isolating rat islets were used to carry out insulin secretion experiment.Islets were incubated with different concentrations of emetine(2,10,50 μmol·L-1),different concentrations of glu-cose solution(2.8,11.1,16.7 mmol·L-1)or spe-cific GLP-1R antagonist Exendin(9-39).The amount of insulin secretion in the supernatant of each group was determined by an enzyme-linked radioimmunoas-say.Small molecule compounds were docked to GLP-1R(PDB code:5NX2)using SYBYL-X2.0 software.Results Emetine could promote insulin secretion in high glucose(11.1 mmol·L-1)in a dose-dependent manner.In low glucose(2.8 mmol·L-1),insulin secretion did not change after intervention of emetine.But in high glucose(11.1,16.7 mmol·L-1),insu-lin secretion significantly increased under the treatment of emetine in a glucose-dependent manner.The doc-king score of emetine and GLP-1R was Total Score=6.82,C Score=5,indicating that emetine had a good binding affinity with GLP-1R.Using Exendin(9-39)to block GLP-1R,the insulinotropic effect of emetine was reduced.Conclusion Emetine could promote in-sulin secretion,which is related to the activation of GLP-1R.
7.Research progress of PPAR-γ regulating brain cholesterol metabolism to clear β-amyloid protein to improve Alzheimer's disease
Xue-Qing DUAN ; Shao-Feng WANG ; Xian-Yu CHEN ; Yan-Wei HAO ; Jia-Xin LI ; Li LI ; Shi-Jun XU ; Bin LI
Chinese Pharmacological Bulletin 2024;40(11):2005-2009
Peroxisome proliferator-activated receptor gamma(PPAR-γ)is a member of the ligand-activated nuclear tran-scription factor superfamily.Activated PPAR-γ is involved in the regulation of many central nervous system(CNS)events,and is involved in cholesterol metabolism by inducing or inhibi-ting a series of gene pathways,thereby inhibiting the deposition of β-amyloid protein(Aβ).It plays an important neuroprotec-tive role in Alzheimer's disease(AD),improves memory and cognition in AD,and is a potential target for AD.Drug develop-ment aimed at restoring cholesterol homeostasis may be a poten-tial strategy to counteract AD.By analyzing the distribution and structure of PPAR-γ,focusing on the biological correlation be-tween PPAR-γ-mediated cholesterol metabolism and AD,this paper describes the mechanism regulation of PPAR-γ on key proteins,genes and their corresponding molecules,providing a new reference for the treatment of AD.
8.A nomogram for predicting residual back pain after percutaneous vertebroplasty for osteoporotic vertebral compres-sion fractures
Jun-Ke LI ; Xu-Bin MA ; Liang LI ; Qing MA ; Xu-Dong WANG
China Journal of Orthopaedics and Traumatology 2024;37(6):553-559
Objective To construct percutaneous vertebroplasty for predicting osteoporotic vertebral compression fractures(OVCFs)nomogram of residual back pain(RBP)after percutaneous vertebroplasty(PVP).Methods Clinical data of 245 OVCFs patients who were performed PVP from January 2020 to December 2022 were retrospectively analyzed,including 47 males and 198 females,aged from 65 to 77 years old with an average of(71.47±9.03)years old,and were divided into RBP group and non-RBP group according to whether RBP occurred.Gender,age,comorbidities,fracture stage,body mass index(BMI),bone mineral density(BMD),visual analogue scale(VAS),Oswestry disability index(ODI)and other general infor-mation were collected;anterior vertebral height(AVH),anterior vertebral height ratio(AVH),anterior vertebral height ratio(AVHR),Cobb angle,intravertebral vacuum cleft(IVC),thoracolumbar fascia(TLF)injury,paravertebral muscle steatosis,injection volume and leakage of bone cement,bone cement dispersion pattern,anterior vertebral height recovery ratio(AVHRR),Cobb angle changes,etc.imaging parameters before operation and 24 h after operation were collected.Univariate analysis was performed to analysis above factors,and multivariate Logistic regression model was used to investigate indepen-dent risk factors for postoperative RBP,and Nomogram model was constructed and verified;receiver operating characteristic(ROC)curve and calibration curve were used to determine predictive performance and accuracy of the model,and Hosmer-Lemeshow(H-L)test was used for evaluation.The area under curve(AUC)of ROC was calculated,and Harrell consistency index(C index)was used to evaluate the predictive efficiency of model;decision curve analysis(DCA)was used to evaluate clinical practicability of model.Results There were 34 patients in RBP group and 211 patients in non-RBP group.There were no significant differences in gender,age,comorbidities,fracture stage,BMI,BMD,VAS,ODI,AVH,AVHR and Cobb angle be-tween two groups(P>0.05).Univariate analysis showed 6 patients occurred IVC in RBP group and 13 patients in non-RBP,the number of IVC in RBP group was higher than that in non-RBP group(x2=5.400,P=0.020);6 patients occuured TLF injury in RBP group and 11 patients in non-RBP group,the number of TLF injury in RBP group was higher than that in non-RBP group(x2=7.011,P=0.008);In RBP group,18 patients with grade 3 to 4 paraptebral steatosis and 41 patients in non-RBP group,RBP group was higher than non-RBP group(x2=21.618,P<0.001),and the proportion of bone cement mass in RBP group was higher than non-RBP group(x2=6.836,P=0.009).Multivariate Logistic regression analysis showed IVC(x2=4.974,P=0.025),TLF in-jury(x2=5.231,P=0.023),Goutallier grade of paravertebral steatosis>2(x2=15.124,P<0.001)and proportion of bone cement(x 2=4.168,P=0.038)were independent risk factors for RBP after PVP.ROC curve of model showed AUC of original model was 0.816[OR=2.862,95%CI(0.776,0.894),P<0.001].The internal verification of model through 200 bootstrap samples showed the value of C index was 0.936,and calibration curve showed predicted probability curve was close to actual probability curve.H-L goodness of fit test results were x2=5.796,P=0.670.DCA analysis results showed the decision curve was above None line and All line when the threshold value ranged from 6%to 71%.Conclusion IVC,TLF combined injury,paravertebral muscle steatosis with Goutallier grade>2,and bone cement diffusion with mass type are independent risk factors for RBP after PVP.The risk prediction model for RBP after PVP established has good predictive performance and good clinical practicability.
9.Surveillance of bacterial resistance in tertiary hospitals across China:results of CHINET Antimicrobial Resistance Surveillance Program in 2022
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; 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 ; Wei LI ; 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 ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Yanyan LIU ; Yong AN
Chinese Journal of Infection and Chemotherapy 2024;24(3):277-286
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5%were gram-positive and 70.5%were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3%,76.7%and 77.9%,respectively.Overall,94.0%of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8%of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2%in the isolates from children and 95.7%in the isolates from adults.The resistance rate to carbapenems was lower than 13.1%in most Enterobacterales species except for Klebsiella,21.7%-23.1%of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1%to 13.3%.The prevalence of meropenem-resistant strains decreased from 23.5%in 2019 to 18.0%in 2022 in Pseudomonas aeruginosa,and decreased from 79.0%in 2019 to 72.5%in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.
10.Changing distribution and resistance profiles of common pathogens isolated from urine in the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Yanming LI ; Mingxiang ZOU ; Wen'en LIU ; 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 ; 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 ; 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
Chinese Journal of Infection and Chemotherapy 2024;24(3):287-299
Objective To investigate the distribution and antimicrobial resistance profiles of the common pathogens isolated from urine from 2015 to 2021 in the CHINET Antimicrobial Resistance Surveillance Program.Methods The bacterial strains were isolated from urine and identified routinely in 51 hospitals across China in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Antimicrobial susceptibility was determined by Kirby-Bauer method,automatic microbiological analysis system and E-test according to the unified protocol.Results A total of 261 893 nonduplicate strains were isolated from urine specimen from 2015 to 2021,of which gram-positive bacteria accounted for 23.8%(62 219/261 893),and gram-negative bacteria 76.2%(199 674/261 893).The most common species were E.coli(46.7%),E.faecium(10.4%),K.pneumoniae(9.8%),E.faecalis(8.7%),P.mirabilis(3.5%),P.aeruginosa(3.4%),SS.agalactiae(2.6%),and E.cloacae(2.1%).The strains were more frequently isolated from inpatients versus outpatients and emergency patients,from females versus males,and from adults versus children.The prevalence of ESBLs-producing strains in E.coli,K.pneumoniae and P.mirabilis was 53.2%,52.8%and 37.0%,respectively.The prevalence of carbapenem-resistant strains in E.coli,K.pneumoniae,P.aeruginosa and A.baumannii was 1.7%,18.5%,16.4%,and 40.3%,respectively.Lower than 10%of the E.faecalis isolates were resistant to ampicillin,nitrofurantoin,linezolid,vancomycin,teicoplanin and fosfomycin.More than 90%of the E.faecium isolates were ressitant to ampicillin,levofloxacin and erythromycin.The percentage of strains resistant to vancomycin,linezolid or teicoplanin was<2%.The E.coli,K.pneumoniae,P.aeruginosa and A.baumannii strains isolated from ICU inpatients showed significantly higher resistance rates than the corresponding strains isolated from outpatients and non-ICU inpatients.Conclusions E.coli,Enterococcus and K.pneumoniae are the most common pathogens in urinary tract infection.The bacterial species and antimicrobial resistance of urinary isolates vary with different populations.More attention should be paid to antimicrobial resistance surveillance and reduce the irrational use of antimicrobial agents.


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