1.Application of robots in rehabilitation of children with autism spectrum disorder from 2004 to 2024: a bibliometrics analysis
Songbai XIANG ; Wenhui ZHOU ; Chonggao WANG
Chinese Journal of Rehabilitation Theory and Practice 2025;31(2):158-164
ObjectiveTo analyze the current research status, hotspots and trends of robot applications in the rehabilitation of children with autism spectrum disorder (ASD). MethodsRelevant literature from the Web of Science Core Collection database from 2004 to 2024 was retrieved, and was analyzed with CiteSpace 6.3.R1. ResultsA total of 902 articles were included, with a fluctuating upward trend in publication volume. The United States was the country with the most publications, while the England with the highest centrality. The most prolific author was Ichiro Yoshikawa, and the institution with the most publications was the University of Hertfordshire. High-frequency keywords and bursting words in the field included rehabilitation robots, imitation ability, human-computer interaction, joint attention and humanoid robots. ConclusionResearch on robots in the rehabilitation of children with ASD is on the rise. Future research should focus on improving robot intelligence, implementing multimodal data collection and analysis, integrating brain science to uncover neural mechanisms during interactions, and developing personalized rehabilitation plans tailored to the specific needs of children.
2.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.
3.Changing resistance profiles of Enterobacter isolates in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Shaozhen YAN ; Ziyong SUN ; Zhongju CHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yi XIE ; Mei KANG ; Fengbo ZHANG ; Ping JI ; Zhidong HU ; Jin LI ; Sufang GUO ; Han SHEN ; Wanqing ZHOU ; Yingchun XU ; Xiaojiang ZHANG ; Xuesong XU ; Chao YAN ; Chuanqing WANG ; Pan FU ; Wei JIA ; Gang LI ; Yuanhong XU ; Ying HUANG ; Dawen GUO ; Jinying ZHAO ; Wen'en LIU ; Yanming LI ; Hua YU ; Xiangning HUANG ; Bin SHAN ; Yan DU ; Shanmei WANG ; Yafei CHU ; Yuxing NI ; Jingyong SUN ; Yunsong YU ; Jie LIN ; Chao ZHUO ; Danhong SU ; Lianhua WEI ; Fengmei ZOU ; Yan JIN ; Chunhong SHAO ; Jihong LI ; Lixia ZHANG ; Juan MA ; Yunzhuo CHU ; Sufei TIAN ; Jinju DUAN ; Jianbang KANG ; Ruizhong WANG ; Hua FANG ; Fangfang HU ; Yunjian HU ; Xiaoman AI ; Fang DONG ; Zhiyong LÜ ; Hong ZHANG ; Chun WANG ; Yong ZHAO ; Ping GONG ; Lei ZHU ; Jinhua MENG ; Xiaobo MA ; Yanping ZHENG ; Jinsong WU ; Yuemei LU ; Ruyi GUO ; Yan ZHU ; Kaizhen WEN ; Yirong ZHANG ; Chunlei YUE ; Jiangshan LIU ; Wenhui HUANG ; Shunhong XUE ; Xuefei HU ; Hongqin GU ; Jiao FENG ; Shuping ZHOU ; Yan ZHOU ; Yunsheng CHEN ; Qing MENG ; Bixia YU ; Jilu SHEN ; Rui DOU ; Shifu WANG ; Wen HE ; Longfeng LIAO ; Lin JIANG
Chinese Journal of Infection and Chemotherapy 2024;24(3):309-317
Objective To examine the changing antimicrobial resistance profile of Enterobacter spp.isolates in 53 hospitals across China from 2015 t0 2021.Methods The clinical isolates of Enterobacter spp.were collected from 53 hospitals across China during 2015-2021 and tested for antimicrobial susceptibility using Kirby-Bauer method or automated testing systems according to the CHINET unified protocol.The results were interpreted according to the breakpoints issued by the Clinical & Laboratory Standards Institute(CLSI)in 2021(M100 31st edition)and analyzed with WHONET 5.6 software.Results A total of 37 966 Enterobacter strains were isolated from 2015 to 2021.The proportion of Enterobacter isolates among all clinical isolates showed a fluctuating trend over the 7-year period,overall 2.5%in all clinical isolates amd 5.7%in Enterobacterale strains.The most frequently isolated Enterobacter species was Enterobacter cloacae,accounting for 93.7%(35 571/37 966).The strains were mainly isolated from respiratory specimens(44.4±4.6)%,followed by secretions/pus(16.4±2.3)%and urine(16.0±0.9)%.The strains from respiratory samples decreased slightly,while those from sterile body fluids increased over the 7-year period.The Enterobacter strains were mainly isolated from inpatients(92.9%),and only(7.1±0.8)%of the strains were isolated from outpatients and emergency patients.The patients in surgical wards contributed the highest number of isolates(24.4±2.9)%compared to the inpatients in any other departement.Overall,≤ 7.9%of the E.cloacae strains were resistant to amikacin,tigecycline,polymyxin B,imipenem or meropenem,while ≤5.6%of the Enterobacter asburiae strains were resistant to these antimicrobial agents.E.asburiae showed higher resistance rate to polymyxin B than E.cloacae(19.7%vs 3.9%).Overall,≤8.1%of the Enterobacter gergoviae strains were resistant to tigecycline,amikacin,meropenem,or imipenem,while 10.5%of these strains were resistant to polycolistin B.The overall prevalence of carbapenem-resistant Enterobacter was 10.0%over the 7-year period,but showing an upward trend.The resistance profiles of Enterobacter isolates varied with the department from which they were isolated and whether the patient is an adult or a child.The prevalence of carbapenem-resistant E.cloacae was the highest in the E.cloacae isolates from ICU patients.Conclusions The results of the CHINET Antimicrobial Resistance Surveillance Program indicate that the proportion of Enterobacter strains in all clinical isolates fluctuates slightly over the 7-year period from 2015 to 2021.The Enterobacter strains showed increasing resistance to multiple antimicrobial drugs,especially carbapenems over the 7-year period.
4.Changing resistance profiles of Proteus,Morganella and Providencia in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Yunmin XU ; Xiaoxue DONG ; Bin SHAN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Ping JI ; Fengbo ZHANG ; 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 ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Hongyan ZHENG ; 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 2024;24(4):410-417
Objective To understand the changing distribution and antimicrobial resistance profiles of Proteus,Morganella and Providencia in hospitals across China from January 1,2015 to December 31,2021 in the CHINET Antimicrobial Resistance Surveillance Program.Methods Antimicrobial susceptibility testing was carried out following the unified CHINET protocol.The results were interpreted in accordance with the breakpoints in the 2021 Clinical & Laboratory Standards Institute(CLSI)M100(31 st Edition).Results A total of 32 433 Enterobacterales strains were isolated during the 7-year period,including 24 160 strains of Proteus,6 704 strains of Morganella,and 1 569 strains of Providencia.The overall number of these Enterobacterales isolates increased significantly over the 7-year period.The top 3 specimen source of these strains were urine,lower respiratory tract specimens,and wound secretions.Proteus,Morganella,and Providencia isolates showed lower resistance rates to amikacin,meropenem,cefoxitin,cefepime,cefoperazone-sulbactam,and piperacillin-tazobactam.For most of the antibiotics tested,less than 10%of the Proteus and Morganella strains were resistant,while less than 20%of the Providencia strains were resistant.The prevalence of carbapenem-resistant Enterobacterales(CRE)was 1.4%in Proteus isolates,1.9%in Morganella isolates,and 15.6%in Providencia isolates.Conclusions The overall number of clinical isolates of Proteus,Morganella and Providencia increased significantly in the 7-year period from 2015 to 2021.The prevalence of CRE strains also increased.More attention should be paid to antimicrobial resistance surveillance and rational antibiotic use so as to prevent the emergence and increase of antimicrobial resistance.
5.Changing distribution and resistance profiles of Klebsiella strains in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Chuyue ZHUO ; Yingyi GUO ; Chao ZHUO ; 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 ; 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 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 2024;24(4):418-426
Objective To understand the changing distribution and antimicrobial resistance profiles of Klebsiella strains in 52 hospitals across China in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Antimicrobial susceptibility testing was carried out according to the unified CHINET protocol.The susceptibility results were interpreted according to the breakpoints in the Clinical & Laboratory Standards Institute(CLSI)M100 document.Results A total of 241,549 nonduplicate Klebsiella strains were isolated from 2015 to 2021,including Klebsiella pneumoniae(88.0%),Klebsiella aerogenes(5.8%),Klebsiella oxytoca(5.7%),and other Klebsiella species(0.6%).Klebsiella strains were mainly isolated from respiratory tract(48.49±5.32)%.Internal medicine(22.79±3.28)%,surgery(17.98±3.10)%,and ICU(14.03±1.39)%were the top 3 departments where Klebsiella strains were most frequently isolated.K.pneumoniae isolates showed higher resistance rate to most antimicrobial agents compared to other Klebsiella species.Klebsiella isolates maintained low resistance rates to tigecycline and polymyxin B.ESBLs-producing K.pneumoniae and K.oxytoca strains showed higher resistance rates to all the antimicrobial agents tested compared to the corresponding ESBLs-nonproducing strains.The K.pneumoniae and carbapenem-resistant K.pneumoniae(CRKP)strains isolated from ICU patients demonstrated higher resistance rates to majority of the antimicrobial agents tested than the strains isolated from non-ICU patients.The CRKP strains isolated from adult patients had higher resistance rates to most of the antimicrobial agents tested than the corresponding CRKP strains isolated from paediatric patients.Conclusions The prevalence of carbapenem-resistant strains in Klebsiella isolates increased greatly from 2015 to 2021.However,the Klebsiella isolates remained highly susceptible to tigecycline and polymyxin B.Antimicrobial resistance surveillance should still be strengthened for Klebsiella strains.
6.Changing resistance profiles of Staphylococcus isolates in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Yuling XIAO ; Mei KANG ; Yi XIE ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Ping JI ; Fengbo ZHANG ; 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 ; 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 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 2024;24(5):570-580
Objective To investigate the changing distribution and antibiotic resistance profiles of clinical isolates of Staphylococcus in hospitals across China from 2015 to 2021.Methods Antimicrobial susceptibility testing was conducted for the clinical isolates of Staphylococcus according to the unified protocol of CHINET(China Antimicrobial Surveillance Network)using disk diffusion method and commercial automated systems.The CHINET antimicrobial resistance surveillance data from 2015 to 2021 were interpreted according to the 2021 CLSI breakpoints and analyzed using WHONET 5.6.Results During the period from 2015 to 2021,a total of 204,771 nonduplicate strains of Staphylococcus were isolated,including 136,731(66.8%)strains of Staphylococcus aureus and 68,040(33.2%)strains of coagulase-negative Staphylococcus(CNS).The proportions of S.aureus isolates and CNS isolates did not show significant change.S.aureus strains were mainly isolated from respiratory specimens(38.9±5.1)%,wound,pus and secretions(33.6±4.2)%,and blood(11.9±1.5)%.The CNS strains were predominantly isolated from blood(73.6±4.2)%,cerebrospinal fluid(12.1±2.5)%,and pleural effusion and ascites(8.4±2.1)%.S.aureus strains were mainly isolated from the patients in ICU(17.0±7.3)%,outpatient and emergency(11.6±1.7)%,and department of surgery(11.2±0.9)%,whereas CNS strains were primarily isolated from the patients in ICU(32.2±9.7)%,outpatient and emergency(12.8±4.7)%,and department of internal medicine(11.2±1.9)%.The prevalence of methicillin-resistant strains was 32.9%in S.aureus(MRSA)and 74.1%in CNS(MRCNS).Over the 7-year period,the prevalence of MRSA decreased from 42.1%to 29.2%,and the prevalence of MRCNS decreased from 82.1%to 68.2%.MRSA showed higher resistance rates to all the antimicrobial agents tested except trimethoprim-sulfamethoxazole than methicillin-susceptible S.aureus(MSSA).Over the 7-year period,MRSA strains showed decreasing resistance rates to gentamicin,rifampicin,and levofloxacin,MRCNS showed decreasing resistance rates to gentamicin,erythromycin,rifampicin,and trimethoprim-sulfamethoxazole,but increasing resistance rate to levofloxacin.No vancomycin-resistant strains were detected.The prevalence of linezolid-resistant MRCNS increased from 0.2%to 2.3%over the 7-year period.Conclusions Staphylococcus remains the major pathogen among gram-positive bacteria.MRSA and MRCNS were still the principal antibiotic-resistant gram-positive bacteria.No S.aureus isolates were found resistant to vancomycin or linezolid,but linezolid-resistant strains have been detected in MRCNS isolates,which is an issue of concern.
7.Verbal and visuospatial working memory in primary school students with different cognitive styles
Yunxia WU ; Tao ZHOU ; Hongning SHAO ; Wenhui LI ; Xiaoxi WANG
Chinese Mental Health Journal 2024;38(8):693-698
Objective:To explore the developmental characteristics of different cognitive styles on verbal and visuospatial working memory of primary school students.Methods:The Mosaic graph test was used to test the cog-nitive style of students in grades 2,4 and 6.The three-factor mixed experiment of 2(cognitive style:field independ-ent,field dependent)× 3(grade:2,4,6)× 2(task type:letter task,spatial task)was carried out.The 2-back task was used to measure the working memory characteristics of students with different cognitive styles,and the repeated measurement ANOVA was performed on the accuracy of letter and spatial tasks of 175 effective subjects.Results:The accuracy of letter task and spatial task of field independent primary school students were higher than that of field-dependent primary school students(P<0.001).The accuracy rate of letter task for field independent primary school students was higher than that of space task(P<0.001).The accuracy of two kinds of tasks of field inde-pendent students in grade 6 was better than that of field independent students in grade 2 and grade 4(P<0.05).Conclusion:There are differences in the development of verbal and visuospatial working memory of primary school students with different cognitive styles,which may also be related to task type and age.
8.Clinical efficacy of single-port and mini-three-port laparoscopic sleeve gastrectomy for obesity
Fuqing ZHOU ; Xin TANG ; Yang LIU ; Wenhui CHEN ; Bian WU ; Cunchuan WANG ; Zhiyong DONG
Chinese Journal of Digestive Surgery 2024;23(8):1057-1064
Objective:To investigate the clinical efficacy of single-port and mini-three-port laparoscopic sleeve gastrectomy (MTP-SG) for obesity.Methods:The propensity score matching and retrospective cohort study was conducted. The clinical data of 364 obesity patients in the Chinese Obesity and Metabolic Surgery Database who were admitted to The First Affiliated Hospital of Jinan University from July 2016 to December 2023 were collected. There were 79 males and 285 females, aged (31±9)years. Of 364 patients, 67 cases undergoing single-port laparoscopic sleeve gastrectomy (SP-SG) were divided into the SP group, and 297 cases undergoing MTP-SG were divided into the MTP group. Propensity score matching was done by the 1∶1 nearest neighbor matching method. The clamp value was set as 0.1. Measurement data with normal distribution were expressed as Mean± SD, and t test was used for comparison between groups. Measurement data with skewed distribution were expressed as M( Q1, Q1), and the rank sum test was used for comparison between groups. Count data were expressed as absolute numbers, and comparison between groups was analyzed using the chi-square test or Fisher exact probability. Results:(1) Propensity score matching and comparison of general data of patients between the two groups after matching. Of 364 patients, 126 cases were successfully matched, including 63 cases in the SP group and 63 cases in the MTP group. After propensity score matching, the confounding bias of gender, body mass, body mass index (BMI), waist circumference, waist hip ratio were eliminated between the two groups. (2) Intraoperative and post-operative conditions. Both groups of patients successfully completed laparoscopic sleeve gastrectomy. After propensity score matching, the operation time, volume of intraoperative blood loss, number of postoperative painkillers used, number of postoperative antiemetics used, duration of postoperative hospital stay, duration of total hospital stay, surgical cost, and total hospitalization cost of the 63 pati-ents in SP group were 101(90,120)minutes, 10(10,10)mL, 1.0(1.0,2.5)times, 3.0(1.0,5.0)times, 4(3,5)days, 7(5,8)days, 4.1(3.5,4.3) ten thousand yuan, and (6.4±0.8) ten thousand yuan, respectively. The above indicators of the 27 patients in MTP group were 100(90,120)minutes, 10(10,15)mL, 2.0(1.0,4.0)times, 4.0(3.0,5.0)times, 3(3,4)days, 5(5,6)days, 3.2(2.8,4.2) ten thousand yuan, and (5.8±0.8) ten thousand yuan, respectively. There were significant differences in number of postoperative antiemetics used, duration of postoperative hospital stay, duration of total hospital stay and total hospitalization cost between the two groups ( Z=-2.39, -3.93, -3.03, t=4.04, P<0.05), and there was no significant difference in operation time, volume of intraoperative blood loss, number of post-operative painkillers used and surgical cost between the two groups ( Z=-0.49, -1.00, -1.23, -1.47, P>0.05). (3) Follow-up. One hundred and ninety five of the 364 patients conducted postoperative 1 month follow-up, including 25 patients in the SP group and 170 patients in the MTP group, and no patient experienced complications such as gastric leakage, infection, or incisional hernia. Both groups of patients had good surgical incisions. After propensity score matching, the change in BMI (ΔBMI), percentage of total weight loss (%TWL), and percentage of excess weight loss (%EWL) of 24 patients in the SP group were (3.7±1.4)kg/m 2, 11.0%±3.0%, 52.6%±30.0%, respectively. The above indicators of 40 patients in the MTP group were (4.1±1.3)kg/m 2, 11.1%±2.8%, 41.8%±19.1%, respectively. Patients who conducted the postoperative 12 month follow-up were 21 and 131 in the SP group and the MTP group, respectively. After propensity score matching, the ΔBMI, %TWL and %EWL of 15 patients in the SP group were (8.7±4.1)kg/m 2, 26.2%±9.8%, 130.0%±45.1%, respectively. The above indicators of 36 patients in the MTP group were (9.8±4.0)kg/m 2, 27.2%± 8.7%, 107.1%±40.7%, respectively. Conclusion:Both SP-SG and MTP-SG can be used to treat obesity patients and achieve satisfactory short-term results.
9.Analysis of influencing factors on clinical efficacy of neutropenia with febrile neutropenia in tumor pa-tients
Yanping WANG ; Wenhui GAO ; Yanting WU ; Jun YANG ; Yi ZHOU ; Xiaoshun JIAN
The Journal of Practical Medicine 2024;40(18):2597-2601
Objective To investigate the real-world factors influencing the clinical outcome of Febrile neu-tropenia(FN)in oncology patients.Methods We conducted a retrospective analysis of clinical data from 130 FN patients admitted to our hospital between January 2020 and December 2022.The patients were categorized into three groups based on their clinical efficacy:cured group,effective group,and ineffective group.A comparison was made among the three groups regarding general data and laboratory examination results.Univariate and ordered multicategorical logistic regression analyses were performed to identify factors affecting the clinical efficacy of FN.Results The overall effective rate of FN in our hospital was 86.15%.Univariate analysis revealed statistically significant differences among the three patient groups regarding the duration of granulomatous defects,Physical Status Score(PS Score),procalcitonin(PCT)levels,and timing of administration(P<0.05).Ordinal multicat-egorical logistic regression analysis demonstrated that patients with PS scores<2,granulomatous defects lasting less than 7 days,and PCT levels below 0.5 ng/mL exhibited better clinical treatment outcomes.Conclusion In the management of FN,it is crucial to prioritize patients with high PS scores and elevated PCT levels while optimizing drug utilization to enhance clinical efficacy.Timely intervention should be implemented to address granulopathy and improve overall clinical outcomes.
10.Differential Analysis of Erythrocyte Flexibility of PbK173 Artemisinin-sensitive Strains
Hongying ZHOU ; Wenhui XU ; Miyi YANG ; Hang SHI ; Lanfang LI ; Guihua YU ; Canghai LI ; Huajing WANG
Chinese Journal of Experimental Traditional Medical Formulae 2024;30(7):95-103
ObjectiveTo detect the flexibility differences of Plasmodium berghei K173 (PbK173)-infected red blood cells with varying degrees of sensitivity to artemisinin-based drugs and to preliminarily explore the underlying mechanisms of the differences. MethodA total of 102 specific-pathogen-free (SPF) male C57BL/6 mice were randomly divided into three groups, with 30 mice each in the control group and PbK173-resistant (PbK173-R) group, and 42 mice in the PbK173-sensitive (PbK173-S) group. Except for the control group, the rest groups were vaccinated with 1×107 PbK173-S/PbK173-R infected red blood cells to establish a mouse malaria model. During the administration and recovery periods (control group, PbK173-R/PbK173-S), dihydroartemisinin (DHA, 40 mg·kg-1) and malaridine (MD, 6 mg·kg-1) were administered continuously for four days. Peripheral blood was taken from the PbK173-S/PbK173-R groups with an infection rate equal to or greater than 20%. Peripheral blood and each organ were taken on the first day at the end of administration (dosing period) and on the fifth day at the end of administration (recovery period), and blood parameters and organ indices of each group were examined. The osmotic fragility of peripheral blood red blood cells in each group was detected using the red blood cell osmotic fragility test. Western blot was applied to determine the levels of Piezo1 and Band3 proteins in the red blood cell membrane. ResultDuring the administration and recovery periods, there were no significant differences between the PbK173-S MD group and the DHA group. During the administration period, there were no significant differences in hematological parameters between PbK173-S and PbK173-R in the MD group. However, during the recovery period, the red blood cell count, hemoglobin concentration and hematocrit of the PbK173-R group were significantly higher than those of the PbK173-S group (P<0.05) in the MD group. Compared with that of the control group, the osmotic fragility of the PbK173-S/PbK173-R groups was significantly enhanced (P<0.01), and the osmotic fragility of the PbK173-S group was significantly stronger than that of the PbK173-R group (P<0.01). The osmotic fragility of red blood cells in the PbK173-S group during the administration period was significantly stronger than that in the control group and PbK173-R group during the administration period (P<0.01). The osmotic fragility of red blood cells in the PbK173-R group during the recovery period was significantly higher than that in the control group during the administration period and the PbK173-S group during the recovery period (P<0.05). Compared with those in the control group, the Piezo1 protein and Band3 protein in the red blood cell membrane of the PbK173-S group were significantly reduced (P<0.01). Compared with those in the PbK173-R group, the Piezo1 protein and Band 3 protein in the red blood cell membrane of the PbK173-S group were significantly reduced. ConclusionThe flexibility of PbK173-infected red blood cells with different sensitivities to artemisinins differed. Plasmodium-infected red blood cells significantly reduced the levels of Piezo1 and Band3 proteins in the red blood cell membrane, and the erythrocyte flexibility exhibited a decreasing trend in the following order: normal group, PbK173-R group, and PbK173-S group.

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