1.Latent profile analysis and influencing factors of rehabilitation motivation in elderly patients with first stroke
Jinyue WANG ; Yizhao WANG ; Shilei LI ; Shaohua YANG ; Jingyun HAN ; Weiwei SU ; Yi JIN
Chinese Journal of Practical Nursing 2025;41(31):2407-2416
Objective:To explore the potential profile characteristics and influencing factors of rehabilitation motivation in elderly patients with first stroke, so as to provide reference for promoting precise rehabilitation mode.Methods:A convenience sampling method was employed to conduct a cross-sectional survey of elderly patients with first stroke admitted to the Huanhu Hospital Affiliated to Tianjin Medical University from October 2024 to March 2025. The survey utilized a general information questionnaire, the Motivation in Stroke Patients for Rehabilitation Scale, the Perceived Social Support Scale (PSSS), the Exercise Adherence Questionnaire (EAQ), and the Stroke Stigma Scale (SSS). Potential categories of rehabilitation motivation among elderly patients with first stroke were identified using latent profile analysis, and the influencing factors of these potential categories were explored using the ordered multinomial Logistic regression.Results:A total of 290 survey questionnaires were distributed, and 281 valid questionnaires were collected, with an effective response rate of 96.9%(281/290). Among 281 elderly patients with first stroke, there were 152 males and 129 females, with an age of (68.68 ± 6.89) years. The score of the Motivation in Stroke Patients for Rehabilitation Scale was 56.00 (36.00, 68.00) points. Rehabilitation motivation among elderly patients with first stroke could be categorized into three groups: low motivation-lack of family support and unclear goals group (44.1%, 124/281), moderate motivation-social reintegration driven but insufficient behavior group (41.3%, 116/281), and high motivation autonomous planning adaptation and value internalization group (14.6%, 41/281). The ordered multinomial Logistic regression analysis showed that compared to patients aged ≥80 years, patients aged 60-69 years were less likely to belong to the high motivation autonomous planning adaptation and value internalization group ( OR=0.231, P<0.05). Compared to patients with a per capita monthly income of ≥5 001 yuan, patients with a per capita monthly income of 3 001-5 000 yuan were more likely to belong to the high motivation autonomous planning adaptation and value internalization group ( OR=2.340, P<0.05). Compared to heavily dependent patients, patients who were completely independent ( OR=0.160, P<0.05), mildly dependent ( OR=0.155, P<0.01), and moderately dependent ( OR=0.211, P<0.05) were less likely to belong to the high motivation autonomous planning adaptation and value internalization group. The higher the EAQ score, the more likely patients were to belong to the high motivation autonomous planning adaptation and value internalization group ( OR=1.139, P<0.01). The higher the PSSS score, the more likely patients were to belong to the high motivation autonomous planning adaptation and value internalization group ( OR=1.108, P<0.01). The higher the SSS score, the less likely patients were to belong to the high motivation autonomous planning adaptation and value internalization group ( OR=0.787, P<0.01). Conclusions:Healthcare professionals can develop targeted intervention strategies based on the characteristics and influencing factors of patients' different rehabilitation motivations, thereby enhancing their rehabilitation motivation and promoting patient recovery.
2.Latent profile analysis and influencing factors of intrinsic ability among elderly patients with ischemic stroke
Shaohua YANG ; Yibei LI ; Jinyue WANG ; Yue CUI ; Jingyun HAN ; Weiwei SU ; Yizhao WANG ; Yi JIN
Chinese Journal of Practical Nursing 2025;41(31):2431-2439
Objective:To explore the potential categories of internal ability of elderly patients with ischemic stroke, identify the influencing factors and propose corresponding nursing interventions.Methods:This was a cross-sectional study. From January 2025 to May 2025, the elderly patients with ischemic stroke in Tianjin Huanhu Hospital were selected by convenient sampling method. The general information questionnaire, the Internal Capacity Assessment Scale for the Older People, the Health Literacy Scale for stroke patients and the Perceived Social Support Scale were used to investigate. To determine latent categories of patients' intrinsic capacity, potential profile analysis was employed. Subsequently, multivariable Logistic regression examined factors associated with these categories.Results:A total of 260 survey questionnaires were distributed, and 256 valid questionnaires were finally collected, with an effective response rate of 98.46% (256/260). Among of them, there were 166 males and 90 females, aged 68.00 (63.00, 74.00) years.The intrinsic ability of elderly patients with ischemic stroke could be divided into three potential categories: low sensation-low exercise group (27.0%, 69/256), relatively stable intrinsic ability group (37.5%, 96/256) and low cognition-low psychology group (35.5%, 91/256). Multivariable Logistic regression showed that advanced age (compared to the low sensation-low exercise group, OR=0.902; compared to the relatively stable intrinsic ability group, OR=0.813), smoking (compared to the low sensation-low exercise group, OR=0.459; compared to the relatively stable intrinsic ability group, OR=0.442), the lower the Barthel index (compared to the low sensation-low exercise group, ≤40 points with OR=0.157; 41-60 points with OR=0.285) were more likely to enter the low cognition-low psychology group (all P<0.05); other chronic disease types ≤1 (compared to the low cognition-low psychology group, OR=2.630), higher health literacy scores (compared to the low cognition-low psychology group, OR=1.033) were more likely to enter the relatively stable intrinsic ability group (both P<0.05); and stroke frequency was the first occurrence (compared to the low cognition-low psychology group, OR=2.725) was more likely to enter the low sensation-low exercise group ( P<0.05). Conclusions:In older adults with ischemic stroke, the characteristics of intrinsic ability are clearly categorized. To enhance patient outcomes, healthcare professionals are advised to tailor nursing interventions based on the unique features and specific influencing factors associated with each potential category.
3.Distribution and resistance profiles of bacterial strains isolated from cerebrospinal fluid in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Juan MA ; Lixia ZHANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Han SHEN ; Wanqing ZHOU ; Wenen LIU ; Yanming LI ; Yi XIE ; Mei KANG ; Dawen GUO ; Jinying ZHAO ; Zhidong HU ; Jin LI ; Shanmei WANG ; Yafei CHU ; Yunsong YU ; Jie LIN ; Yingchun XU ; Xiaojiang ZHANG ; Jihong LI ; Bin SHAN ; Yan DU ; Ping JI ; Fengbo ZHANG ; Chao ZHUO ; Danhong SU ; Lianhua WEI ; Fengmei ZOU ; Xiaobo MA ; Yanping ZHENG ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Hua YU ; Xiangning HUANG ; Sufang GUO ; Xuesong XU ; Chao YAN ; Fangfang HU ; Yan JIN ; Chunhong SHAO ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Fang DONG ; Zhiyong LÜ ; Lei ZHU ; Jinhua MENG ; Shuping ZHOU ; Yan ZHOU ; Chuanqing WANG ; Pan FU ; Yunjian HU ; Xiaoman AI ; Ziyong SUN ; Zhongju CHEN ; Hong ZHANG ; Chun WANG ; Yuxing NI ; Jingyong SUN ; Kaizhen WEN ; Yirong ZHANG ; Ruyi GUO ; Yan ZHU ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Shifu WANG ; Yunsheng CHEN ; Qing MENG ; Yong ZHAO ; Ping GONG ; Ruizhong WANG ; Hua FANG ; Jilu SHEN ; Jiangshan LIU ; Hongqin GU ; Jiao FENG ; Shunhong XUE ; Bixia YU ; Wen HE ; Lin JIANG ; Longfeng LIAO ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(3):279-289
Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3%)and from outpatient and emergency care patients(4.7%).Overall,19.6%of the isolates were from children and 80.4%were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0%and 32.0%,respectively.Coagulase negative Staphylococcus accounted for 73.0%of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2%in children and 45.6%in adults.The prevalence of MRCNS was 67.6%in adults and 69.5%in children.A small number of vancomycin-resistant Enterococcus faecium(2.2%)and linezolid-resistant Enterococcus faecalis(3.1%)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2%and 76.4%in children,70.5%and 63.5%in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3%and 47.7%in children,6.4%and 47.9%in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0%and 37.1%in children,81.7%and 39.9%in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.
4.Changing antibiotic resistance profiles of the bacterial strains isolated from geriatric patients in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Xiaoman AI ; Yunjian HU ; Chunyue GE ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(3):290-302
Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3%of the total number of clinical isolates from all patients.Overall,21.8%of the 514 715 strains were gram-positive bacteria,and 78.2%were gram-negative bacteria.Majority(90.9%)of the strains were isolated from inpatients.About 42.9%of the strains were isolated from respiratory specimens,and 22.9%were isolated from urine.More than half(60.7%)of the strains were isolated from male patients,and 39.3%isolated from females.About 51.1%of the strains were isolated from patients aged 65-<75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8%in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2%,1.5%)and linezolid-resistant strains(3.4%,0.3%)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3%,4.0%,and 1.7%in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2%)to imipenem and meropenem were 20.9%and 22.3%,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7%-7.8%of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6%)to imipenem and meropenem were 68.4%and 70.6%respectively,while 28.5%and 24.3%of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-<75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.
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.Latent profile analysis and influencing factors of rehabilitation motivation in elderly patients with first stroke
Jinyue WANG ; Yizhao WANG ; Shilei LI ; Shaohua YANG ; Jingyun HAN ; Weiwei SU ; Yi JIN
Chinese Journal of Practical Nursing 2025;41(31):2407-2416
Objective:To explore the potential profile characteristics and influencing factors of rehabilitation motivation in elderly patients with first stroke, so as to provide reference for promoting precise rehabilitation mode.Methods:A convenience sampling method was employed to conduct a cross-sectional survey of elderly patients with first stroke admitted to the Huanhu Hospital Affiliated to Tianjin Medical University from October 2024 to March 2025. The survey utilized a general information questionnaire, the Motivation in Stroke Patients for Rehabilitation Scale, the Perceived Social Support Scale (PSSS), the Exercise Adherence Questionnaire (EAQ), and the Stroke Stigma Scale (SSS). Potential categories of rehabilitation motivation among elderly patients with first stroke were identified using latent profile analysis, and the influencing factors of these potential categories were explored using the ordered multinomial Logistic regression.Results:A total of 290 survey questionnaires were distributed, and 281 valid questionnaires were collected, with an effective response rate of 96.9%(281/290). Among 281 elderly patients with first stroke, there were 152 males and 129 females, with an age of (68.68 ± 6.89) years. The score of the Motivation in Stroke Patients for Rehabilitation Scale was 56.00 (36.00, 68.00) points. Rehabilitation motivation among elderly patients with first stroke could be categorized into three groups: low motivation-lack of family support and unclear goals group (44.1%, 124/281), moderate motivation-social reintegration driven but insufficient behavior group (41.3%, 116/281), and high motivation autonomous planning adaptation and value internalization group (14.6%, 41/281). The ordered multinomial Logistic regression analysis showed that compared to patients aged ≥80 years, patients aged 60-69 years were less likely to belong to the high motivation autonomous planning adaptation and value internalization group ( OR=0.231, P<0.05). Compared to patients with a per capita monthly income of ≥5 001 yuan, patients with a per capita monthly income of 3 001-5 000 yuan were more likely to belong to the high motivation autonomous planning adaptation and value internalization group ( OR=2.340, P<0.05). Compared to heavily dependent patients, patients who were completely independent ( OR=0.160, P<0.05), mildly dependent ( OR=0.155, P<0.01), and moderately dependent ( OR=0.211, P<0.05) were less likely to belong to the high motivation autonomous planning adaptation and value internalization group. The higher the EAQ score, the more likely patients were to belong to the high motivation autonomous planning adaptation and value internalization group ( OR=1.139, P<0.01). The higher the PSSS score, the more likely patients were to belong to the high motivation autonomous planning adaptation and value internalization group ( OR=1.108, P<0.01). The higher the SSS score, the less likely patients were to belong to the high motivation autonomous planning adaptation and value internalization group ( OR=0.787, P<0.01). Conclusions:Healthcare professionals can develop targeted intervention strategies based on the characteristics and influencing factors of patients' different rehabilitation motivations, thereby enhancing their rehabilitation motivation and promoting patient recovery.
7.Latent profile analysis and influencing factors of intrinsic ability among elderly patients with ischemic stroke
Shaohua YANG ; Yibei LI ; Jinyue WANG ; Yue CUI ; Jingyun HAN ; Weiwei SU ; Yizhao WANG ; Yi JIN
Chinese Journal of Practical Nursing 2025;41(31):2431-2439
Objective:To explore the potential categories of internal ability of elderly patients with ischemic stroke, identify the influencing factors and propose corresponding nursing interventions.Methods:This was a cross-sectional study. From January 2025 to May 2025, the elderly patients with ischemic stroke in Tianjin Huanhu Hospital were selected by convenient sampling method. The general information questionnaire, the Internal Capacity Assessment Scale for the Older People, the Health Literacy Scale for stroke patients and the Perceived Social Support Scale were used to investigate. To determine latent categories of patients' intrinsic capacity, potential profile analysis was employed. Subsequently, multivariable Logistic regression examined factors associated with these categories.Results:A total of 260 survey questionnaires were distributed, and 256 valid questionnaires were finally collected, with an effective response rate of 98.46% (256/260). Among of them, there were 166 males and 90 females, aged 68.00 (63.00, 74.00) years.The intrinsic ability of elderly patients with ischemic stroke could be divided into three potential categories: low sensation-low exercise group (27.0%, 69/256), relatively stable intrinsic ability group (37.5%, 96/256) and low cognition-low psychology group (35.5%, 91/256). Multivariable Logistic regression showed that advanced age (compared to the low sensation-low exercise group, OR=0.902; compared to the relatively stable intrinsic ability group, OR=0.813), smoking (compared to the low sensation-low exercise group, OR=0.459; compared to the relatively stable intrinsic ability group, OR=0.442), the lower the Barthel index (compared to the low sensation-low exercise group, ≤40 points with OR=0.157; 41-60 points with OR=0.285) were more likely to enter the low cognition-low psychology group (all P<0.05); other chronic disease types ≤1 (compared to the low cognition-low psychology group, OR=2.630), higher health literacy scores (compared to the low cognition-low psychology group, OR=1.033) were more likely to enter the relatively stable intrinsic ability group (both P<0.05); and stroke frequency was the first occurrence (compared to the low cognition-low psychology group, OR=2.725) was more likely to enter the low sensation-low exercise group ( P<0.05). Conclusions:In older adults with ischemic stroke, the characteristics of intrinsic ability are clearly categorized. To enhance patient outcomes, healthcare professionals are advised to tailor nursing interventions based on the unique features and specific influencing factors associated with each potential category.
8.Effect of Draxin on the migration characteristics of trunk neural crest cells in the embryonic mouse spinal cord
Zu-Qi CUI ; Xiao-Jin MIAO ; Ze-Lin GU ; Meng-Fei GONG ; Huan CHEN ; Shu-Han YANG ; Tong-Yu LIU ; San-Bing ZHANG ; Yu-Hong SU
Acta Anatomica Sinica 2025;56(2):150-157
Objective To investigate the effect of dorsal repulsive axon guidance protein(Draxin)on the migration of trunk neural crest cells during the early development of embryonic mouse spinal cord.Methods Immunohistochemistry and in situ hybridization were used to detect the expression characteristics of Draxin in early embryonic spinal cord(8 mice each group);In situ hybridization was used to detect the change of migration characteristics of trunk neural crest cells in early embryonic spinal cord of different types of mouse(5 mice each group);in vitro culture method was used to check the effect of Draxin on the migration characteristics of embryonic mouse trunk neural crest cells(16 mice each group).Resultsβ-galactosidase gene Z(LacZ)gene was introduced when Draxin gene was knocked out to produce Draxin gene knockout mice.β-galactosidase staining was used to detect LacZ gene expression in Draxin knockout embryonic mice,and the result showed that Draxin expression was observed in the spinal cord of early embryonic mice since 9.5 days(E9.5).Draxin expression was obvious in the embryonic mice spinal cord in E10.5 period.In situ hybridization was used to detect the expression of Draxin gene in the spinal cord of wild type embryonic mice,and the result further verified the obvious expression of Draxin in the early embryonic mice spinal cord in El0.5 period.Sox10 in situ hybridization was used to detect neural crest cell migration in the spinal cord of embryonic mice in E10.5 period.The result showed that segmental migration of neural crest cells in the early embryonic spinal cord of some Draxin knockout mice was delayed compared with the wild type mice.The effect of Draxin on the migration of wild type early embryonic mice trunk neural crest cells in vitro was tested.The result showed that Draxin reduced the migration distance of neural crest cells in vitro.Conclusion In the early developmental stage of embryonic spinal cord(E9.5-E10.5),neural crest cells migrated exuberant.At the same time,Draxin plays an important inhibitory function in the formation of the specific migration pathways of trunk neural crest cells by promoting neural crest cells migrating away from Draxin expressing regions.
9.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.
10.Changing prevalence and antibiotic resistance profiles of carbapenem-resistant Enterobacterales in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Wenxiang JI ; Tong JIANG ; Jilu SHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yuanhong XU ; Ying HUANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yingchun XU ; Xiaojiang ZHANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Hong ZHANG ; Chun WANG ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(4):445-454
Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43%(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38%,9.73%,and 8.47%,respectively.The prevalence of CRE strains in Escherichia coli was 1.99%.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)%,followed by blood(20.88±3.40)%and urine(18.40±3.45)%.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)%.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.

Result Analysis
Print
Save
E-mail