1.Application of New Approach Methodologies in Biomedical Field and Their Implementation of "3R" Principle
Lu WANG ; Qingjie WANG ; Chunhong YANG ; Yijian ZHANG
Laboratory Animal and Comparative Medicine 2026;46(4):573-582
Laboratory animals are increasingly utilized as in vivo models for life sciences, medical research, and drug development, and the associated ethical and welfare issues have attracted increasing attention. The "3R" principle (replacement, reduction, refinement) is a globally recognized guideline for conducting animal experiments, providing direction for balancing scientific research with animal welfare. New approach methodologies refer to technologies that mimic human physiological systems and can replace or reduce traditional animal experiments, mainly including in vitro (e.g., organoids, organ-on-a-chip,3D bioprinting models), in chemico , and in silico tools. This review systematically examines the technical characteristics, development history, and applications of new approach methodologies in disease modeling, drug development, toxicological evaluation, etc., and focuses on the implementation path of the "3R" principle. New approach methodologies can replace some animal experiments through in vitro biomimetic models, reduce the number of experimental animals used through high-throughput screening and computational simulation, optimize experimental design and alleviate animal suffering through accurate dose prediction and early biomarker monitoring. New approach methodologies still face challenges such as the inability to fully recapitulate the complex human physiological system, insufficient standardization and reproducibility, and underdeveloped validation and acceptance pathways. With continuous technological innovation, rigorous scientific validation, proactive international cooperation, and sound policy support, new approach methodologies are expected to gradually reduce the use of traditional animal experiments and advance biomedical research toward the coordinated pursuit of scientific rigor, animal welfare, and cost-effectiveness.
2.Current status and influencing factors of care burden in informal caregivers of patients with pressure injuries.
Chunhong RUAN ; Lian MAO ; Jing LU ; Xuan YANG ; Chun SHENG ; Bo LI ; Lina GONG
Journal of Central South University(Medical Sciences) 2025;50(7):1234-1243
OBJECTIVES:
With the accelerating aging of the population and the rising prevalence of chronic diseases, the number of patients with pressure injuries (PIs) has increased markedly, prolonging the period of disease-related care. Informal caregivers play a critical role in the daily care of patients with pressure injuries, and their care burden has become increasingly prominent. This study aims to investigate the current status and influencing factors of care burden among informal caregivers of patients with PIs, providing evidence for targeted intervention strategies.
METHODS:
A total of 170 informal caregivers of patients with PIs were selected by convenience sampling from the Third Xiangya Hospital of Central South University. General demographic and clinical data of both patients and caregivers were collected. The Zarit Caregiver Burden Inventory (ZBI), Knowledge-Attitude-Practice Scale for Informal Caregivers of Patients with PIs, General Self-Efficacy Scale (GSES), and Family Caregiver Task Inventory (FCTI) were used to assess caregiving burden, knowledge-attitude-practice level, self-efficacy, and caregiving ability, respectively. Pearson correlation analysis was conducted to evaluate relationships among ZBI, Knowledge-Attitude-Practice Scale for Informal Caregivers of Patients with PIs, GSES, and FCTI scores. Stepwise multiple linear regression analysis was used to identify factors influencing caregiving.
RESULTS:
Among the 170 patients with pressure injuries, the age was (65.52±15.88) years; 118 (69.41%) were male and 52 (30.59%) were female. The duration of PIs was less than 1 month in 108 (63.53%) cases and 1 to 6 months in 40 cases (23.53%). Stage II injuries were predominant (135 cases, 79.41%). A total of 193 pressure injury sites were recorded, most commonly located at the sacrococcygeal region (127 sites, 65.80%), followed by the head (3 sites, 1.55%), shoulder and back (9 sites, 4.66%), feet (24 sites, 12.44%), and other regions (30 sites, 15.55%). Informal caregivers were 48.82% aged 46 to 59 years, 54.71% female, 41.77% primarily spouses and 47.06% children of the patients, and 77.06% lived with the patients. Caregivers who received assistance from others or had higher family per-capita monthly income reported significantly lower caregiver burden scores than those without assistance or with lower income (all P<0.001). The total ZBI score was 50.89±14.95, indicating a moderate burden. The total scores of the Knowledge-Attitude-Practice Scale for Informal Caregivers, GSES, and FCTI were 50.61±7.22, 26.03±7.11, and 14.76±8.70, respectively. Pearson correlation analysis revealed that ZBI scores were correlated with scores on the Knowledge-Attitude-Practice Scale for Informal Caregivers of Patients with PIs (r=-0.543, P<0.001), GSES scores (r=-0.545, P<0.001), and FCTI scores (r=0.800, P<0.001). The scores on Knowledge-Attitude-Practice Scale for Informal Caregivers of patients with PIs were correlated with GSES scores (r=0.500, P<0.001) and FCTI scores (r=-0.461, P<0.001); GSES scores was negatively correlated with FCTI scores (r=-0.415, P<0.001). Stepwise multiple linear regression analysis showed that assistance availability, family per-capita monthly income, total scores on the Knowledge-Attitude-Practice Scale for Informal Caregivers of Patients with PIs, total GSES score, and total FCTI score were the main influencing factors of caregiver burden, jointly explaining 79.38% of its variance.
CONCLUSIONS
The main factors influencing the caregiving burden of informal caregivers of patients with PIs include the availability of assistance, family per-capita monthly income, total score on the Knowledge-Attitude-Practice Scale for Informal Caregivers of PI patients, total score on the GSES, and total score on the FCTI. Developing targeted intervention strategies addressing these factors may help alleviate the caregiving burden among informal caregivers of patients with PIs.
Humans
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Caregivers/psychology*
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Pressure Ulcer/nursing*
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Female
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Male
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Middle Aged
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Cost of Illness
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Adult
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Aged
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Surveys and Questionnaires
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Health Knowledge, Attitudes, Practice
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Self Efficacy
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Caregiver Burden
;
China
3.Correlation analysis between CT equipment and socio economic development situation in medical institutions of various grade and classification in Jiangsu province
Jiaming LU ; Qiming DENG ; Xiang LI ; Xin ZHANG ; Zhengge WANG ; Ming LI ; Ximing WANG ; Cheng LI ; Bing ZHANG ; Chunhong HU
China Medical Equipment 2025;22(3):97-101
Objective:To investigate the situation of computed tomography(CT)equipment and socio economic development of various grades and classifications of medical institutions in Jiangsu Province,and to analyze the interrelationship between them.Methods:From October 20,2023 to November 20,2023,a questionnaire survey was conducted on imported and domestic CT equipment of various grades and classifications of medical institutions in 13 prefecture-level cities in Jiangsu Province through online questionnaire survey of"questionnaire star".The gross domestic product(GDP)of each prefecture-level city in Jiangsu province was used as an indicator of measuring the level of socio-economic development in the region.The CT number,the row number of detector,quality of image,the total examination case number of daily average and the daily average case number of single machine examination of medical institutions of various grades and classifications of 13 prefecture-level cities were used to conduct correlation analysis with GDP values of various districts.Results:A total of 910 questionnaires were distributed,and 512 questionnaires were retrieved.There were 482 valid questionnaires in the 512 questionnaires,and the valid rate was 94.15,which involved to 482 various grade and classification institutions of 13 prefecture-level cities in Jiangsu province.The number of imported and domestic CT equipment in the 13 prefecture-level cities of Jiangsu Province positively correlated with the GDP of each city(r=0.882,0.880,P<0.001).The number of imported CT equipment with 64 rows and more than 64 rows,and with less than 64 rows,and the number of domestic CT equipment with 64 rows and more than 64 rows,and with less than 64 rows all positively correlated with the GDP of each city(r=0.880,0.881,0.736,0.897,P<0.05).The total number of daily average of examinations for imported and domestic CT equipment of 13 prefecture-level cities positively correlated with the GDP of each city(r=0.774,0.814,P<0.05).There were no significant difference in the image quality and the daily average case number of single machine examination between the domestic CT equipment and the imported CT equipment(P>0.05).Conclusion:The medical institutions of city with high level of economic development have more quantitative and more high-end CT equipment,and the quality of image of domestic CT equipment is equal to that of imported CT equipment regardless of the high and low level of economic development.
4.Disease burden analysis of severe fever with thrombocytopenia syndrome in Shandong province, 2010- 2022
Xueying TIAN ; Qing DUAN ; Xiaomei ZHANG ; Bo PANG ; Yuwei ZHANG ; Zilong LU ; Chunhong YIN ; ZengQiang KOU ; Shujun DING
Chinese Journal of Experimental and Clinical Virology 2025;39(3):294-302
Objective:To understand the epidemiological characteristics of severe fever with thrombocytopenia syndrome (SFTS) in Shandong province from 2010 to 2022, analyze the trends in morbidity and mortality, and provide a scientific basis for the prevention, control, diagnosis, and treatment of SFTS.Methods:The data on SFTS cases and deaths were retrospectively collected through the China Disease Control and Prevention Information System′s infectious disease surveillance system and the Shandong province all-cause mortality surveillance system. Descriptive epidemiological method was used for epidemiological analysis, and the Joinpoint regression model was applied to analyze trends in morbidity and mortality.Results:From 2010 to 2022, 6 714 SFTS cases were reported in Shandong, with an average crude incidence rate (CIR) and age-standardized incidence rate (ASIR) of 0.52/100 000 and 0.43/100 000, respectively. Among these, 1, 064 cases died within 30 days of onset, with an average crude mortality rate (CMR) and age-standardized mortality rate (ASMR) of 0.08/100, 000 and 0.06/100 000, respectively, and an average case fatality rate of 15.85%. The average incidence rates for males and females were 0.52/100 000 and 0.53/100 000, respectively, with no statistically significant difference ( P>0.05). The average annual mortality rate for males (0.09/100 000) was higher than that for females (0.08/100 000), and the average annual case fatality rate for males (17.21%) was higher than that for females (14.48%), with statistically significant differences ( P<0.05); 93.95% of the cases were over 45 years old, and 86.56% of the deaths were over 60 years old. Both cases and deaths were primarily among farmers, accounting for over 85% of the total. From 2010 to 2022, the incidence rate of SFTS in Shandong showed an overall upward trend, with an average annual percentage change (AAPC) in CIR of 23.58% and an AAPC in ASIR of 19.97%, P<0.05. The mortality rate of SFTS cases in Shandong from 2010 to 2022 showed a continuous and significant upward trend, with a CMR AAPC of 27.64% and an ASMR AAPC of 22.70%, P<0.05. SFTS incidence and mortality in Shandong exhibited clear seasonality, with high occurrence from May to October, primarily concentrated in the Jiaodong Peninsula and the hilly areas of central Shandong. The number of affected counties increased in a wave-like pattern, expanding from 6 in 2010 to 79 in 2021 for cases and from 2 in 2010 to 53 in 2022 for deaths. Conclusions:From 2010 to 2022, the incidence and mortality of SFTS in Shandong showed an upward and expanding trend, with a particularly heavy disease burden among middle-aged and elderly farmers.
5.Changing antimicrobial resistance profiles of Burkholderia cepacia in hospitals across China:results from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Chunyue GE ; Yunjian HU ; Xiaoman AI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(5):557-562
Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1%(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5%,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3%(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1%)were isolated from sputum and respiratory secretions,followed by urine(10.7%)and blood samples(8.1%).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1%.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4%in the patients<18 years old to 20.6%in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.
6.Changing antimicrobial resistance profiles of Burkholderia cepacia in hospitals across China:results from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Chunyue GE ; Yunjian HU ; Xiaoman AI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(5):557-562
Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1%(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5%,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3%(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1%)were isolated from sputum and respiratory secretions,followed by urine(10.7%)and blood samples(8.1%).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1%.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4%in the patients<18 years old to 20.6%in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.
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.Synergistic diagnostic potential of novel biomarkers SYWC and ADA for tuberculous pleural effusion
Chunhong FAN ; Wenlong HU ; Limei ZHU ; Ruifu YANG ; Daxia CAI ; Shaohua LU ; Xingdong CAI
The Journal of Practical Medicine 2025;41(15):2406-2411
Objective To evaluate the respective or synergistic value of cytoplasmic tryptophan-tRNA ligase(WARS1/SYWC)and adenosine deaminase(ADA)in diagnosing tuberculous pleural effusion(TPE).Methods A retrospective analysis was conducted on 120 patients with pleural effusion(64 cases of TPE,56 cases of non-TPE)admitted to the First Affiliated Hospital of Jinan University and its affiliated Shunde Hospital from January 2020 to December 2024.Pleural fluid SYWC levels were identified using enzyme-linked immunosorbent assay(ELISA).Univariate and multivariate logistic regression analyses were performed to identify diagnostic predictors,while receiver operating characteristic(ROC)curves were plotted to assess the diagnostic perfor-mance of individual and combined biomarkers.Results Compared to the non-TPE group,TPE group exhibited significantly younger age,lower pleural CEA,less serum CEA,and lower neutrophil-to-lymphocyte ratio(NLR),but significantly higher levels of pleural ADA,total protein,SYWC,and serum CRP(all P<0.05).Univariate analysis identified age,pleural CEA,carbohydrate antigen 199,ADA,SYWC,serum CEA,and NLR as potential predictors.Multivariate analysis confirmed pleural ADA(OR=1.064,95%CI:1.017~1.228)and SYWC(OR=6.695,95%CI:2.794~16.04)as independent diagnostic factors.At optimal cutoffs,SYWC(16.94 μg/L)demonstrated a sensitivity of 71.80%and specificity of 98.21%,while ADA(36.5 U/L)showed a sensitivity of 93.75%and a specificity of 89.29%.Combined detection increased the sensitivity to 95.56%,the specificity to 98.0%,and the accuracy to 97.87%.ROC analysis revealed an AUC of 0.973(95%CI:0.943~1.000)for the combination,outperforming ADA(0.897)and SYWC(0.938)alone.Conclusion The combi-nation of SYWC and ADA notably enhances diagnostic efficacy for TPE,providing high sensitivity and specificity as a reliable tool for clinical differentiation.

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