1.Risk factors for slow-flow or no-reflow during percutaneous coronary intervention in patients with ST-segment elevation acute myocardial infarction:a meta-analysis
Yunfei ZHANG ; Wenjuan YAN ; Hongmei WEN ; Weichen CHEN ; Hongjuan ZHOU ; Qiong HAN ; Jiaoyang XU ; Yingfeng LI
Journal of Interventional Radiology 2025;34(3):243-252
Objective Using meta-analysis to identify the risk factors for slow-flow or no-reflow during percutaneous coronary intervention(PCI)in patients with ST-segment elevation acute myocardial infarction(AMI).Methods A computerized retrieval of academic papers concerning the risk factors for slow-flow or no-reflow during PCI in patients with ST-segment elevation AMI from the databases of CNKI,Wanfang Database,VIP,SinoMed,PubMed,Web of Science,Embase,and Cochrane Library was conducted.The retrieval time period was from the establishment of the database to January 2024.In order to ensure the accuracy and reliability of the study,two independent reviewers screened the literature according to the preset inclusion and exclusion criteria,extracted key data,and strictly evaluated the quality of the literature.RevMan5.4 software was used to make meta-analysis.Results A total of 23 articles with a total of 9 780 cases were included in this analysis.The results of meta-analysis showed that reperfusion time ≥6 h(OR=1.52),preoperative TIMI blood flow≤level-Ⅰ(OR=1.12),heavy thrombus burden(OR=1.60),advanced age(OR=1.56),diabetes(OR=1.83),preoperative Killip grade≥Ⅲ(OR=2.52),long target vessel disease(OR=1.95),and collateral flow≤level-Ⅰ(OR=1.61)were the risk factors for slow-flow or no-reflow during PCI in patients with ST-segment elevation AMI.Preoperative systolic blood pressure<90 mmHg(OR=1.17)and high white blood cell(WBC)count(OR=1.27)were not the risk factors for slow-flow or no-reflow during PCI in patients with ST-segment elevation AMI.Conclusion Reperfusion time ≥ 6 h,preoperative TIMI blood flow≤level-Ⅰ,heavy thrombus burden,advanced age,diabetes,preoperative Killip grade≥level-Ⅲ,long target vessel lesion,and collateral blood flow≤level-Ⅰ are the independent risk factors for slow-flow or no-reflow during PCI in patients with ST-segment elevation AMI.
2.Application value of dual amplification method for nucleic acid detection of seven respiratory pathogens by throat swab samples in diagnosis of acute upper respiratory tract infections in children
Yongqing ZHOU ; Jianghe WANG ; Hengyan LIN ; Kaiqi YANG ; Nan RAO ; Man WANG ; Hongjuan CHU
Journal of Clinical Medicine in Practice 2025;29(3):114-117
Objective To compare the diagnostic values of different detection methods for respir-atory pathogens in children with acute respiratory infections.Methods A total of 862 children with a-cute respiratory infections were enrolled,and their throat swab samples were tested for seven common respiratory pathogens by the dual amplification method and a self-built nucleic acid detection system.For samples with inconsistent results between the two methods,nested polymerase chain reaction(PCR)was performed for verification.Results The positive detection rate of the dual amplification method was 57.75%,which was significantly higher than 30.14%of the self-built nucleic acid detec-tion system,and the detection rate of mixed infections was 10.14%,which was also significantly high-er than 1.97%of the self-built nucleic acid detection system(P<0.05).The sensitivity of the dual amplification method was 91.63%,which was significantly higher than 72.61%of the self-built nu-cleic acid detection system,and the specificity was 92.31%,which was also significantly higher than 75.62%of the self-built nucleic acid detection system(P<0.05).Conclusion The dual amplifica-tion method can simultaneously detect the ribonucleic acid of seven respiratory pathogens with high sensitivity and specificity,demonstrating significant clinical application value.
3.Cognitive trajectories modeling of rare reversion in mild cognitive impairment
Yao QIN ; Yanji HUO ; Jing ZHOU ; Yan ZHOU ; Hongjuan HAN ; Jing CUI ; Hongmei YU
Chinese Journal of Pharmacoepidemiology 2025;34(8):877-886
Objective To construct a dynamic framework for bidirectional transitions of mild cognitive impairment(MCI),quantifying both rare reversion and high-risk progression trajectories in cognitive dynamics.Methods Patients diagnosed with MCI at baseline from 2005 to 2022 and completed at least two follow-up visits were selected from the Alzheimer's Disease Neuroimaging Initiative(ADNI),and a retrospective cohort was constructed.Demographic information,APOEε4 genotype,and neuropsychological scales data were collected.Longitudinal cognitive assessments were functionally reconstructed using multivariate functional principal component analysis(MFPCA),with functional principal components(FPCs)extracted based on cumulative variance contribution rate(PVE>90%).Functional multi-state Markov models were developed to estimate inter-state transition intensities,year to year transition probabilities,and covariate effects.Results Among 1,019 MCI patients(4,657 follow-up visits),93(9.1%)reverted to normal cognition,while 359(35.2%)progressed to Alzheimer's disease(AD).Longitudinal trajectory analysis revealed significant heterogeneity:progressive MCI>stable MCI>reverted MCI in the first functional principal component(MFPC1)scores.The transition intensity for MCI reversion(0.020)was approximately one-fourth of the AD progression risk(0.086),but the post-reversion cognitive re-impairment intensity was 0.138.Reduced MFPC1(HR=0.993,95%Cl:0.991,0.995)and elevated MFPC2(HR=1.004,95%Cl:1.001,1.007)were closely associated with MCI reversion.Conclusion MCI exhibits marked heterogeneity in longitudinal cognitive trajectories.Although reversion is rare,reversed patients remain at high risk of cognitive re-impairment.
4.Cognitive trajectories modeling of rare reversion in mild cognitive impairment
Yao QIN ; Yanji HUO ; Jing ZHOU ; Yan ZHOU ; Hongjuan HAN ; Jing CUI ; Hongmei YU
Chinese Journal of Pharmacoepidemiology 2025;34(8):877-886
Objective To construct a dynamic framework for bidirectional transitions of mild cognitive impairment(MCI),quantifying both rare reversion and high-risk progression trajectories in cognitive dynamics.Methods Patients diagnosed with MCI at baseline from 2005 to 2022 and completed at least two follow-up visits were selected from the Alzheimer's Disease Neuroimaging Initiative(ADNI),and a retrospective cohort was constructed.Demographic information,APOEε4 genotype,and neuropsychological scales data were collected.Longitudinal cognitive assessments were functionally reconstructed using multivariate functional principal component analysis(MFPCA),with functional principal components(FPCs)extracted based on cumulative variance contribution rate(PVE>90%).Functional multi-state Markov models were developed to estimate inter-state transition intensities,year to year transition probabilities,and covariate effects.Results Among 1,019 MCI patients(4,657 follow-up visits),93(9.1%)reverted to normal cognition,while 359(35.2%)progressed to Alzheimer's disease(AD).Longitudinal trajectory analysis revealed significant heterogeneity:progressive MCI>stable MCI>reverted MCI in the first functional principal component(MFPC1)scores.The transition intensity for MCI reversion(0.020)was approximately one-fourth of the AD progression risk(0.086),but the post-reversion cognitive re-impairment intensity was 0.138.Reduced MFPC1(HR=0.993,95%Cl:0.991,0.995)and elevated MFPC2(HR=1.004,95%Cl:1.001,1.007)were closely associated with MCI reversion.Conclusion MCI exhibits marked heterogeneity in longitudinal cognitive trajectories.Although reversion is rare,reversed patients remain at high risk of cognitive re-impairment.
5.Construction and application of training system for general workers in a disinfection supply center based on the CIPP model
Ya TIAN ; Wen ZHENG ; Hongjuan GUO ; Guihua ZHOU ; Liqian HUAN ; Chunlan DIAO
Modern Hospital 2024;24(7):1145-1148
Objective To investigate the effectiveness of applying the CIPP(Context,Input,Process,and Product)model in the training of general workers in a disinfection supply center.Methods From January to March 2023,a total of 24 general workers in our hospital's disinfection supply center underwent traditional training as the pre-management phase.Subse-quently,from July to September 2023,a training system centered on the CIPP model was implemented as the post-management phase.After the training,the examination results and training evaluations were analyzed using SPSS 13.0 statistical software.Results The technical training of the general workers resulted in improved learning outcomes compared to before the training.Conclusion By applying the CIPP model in the training of general workers in a disinfection supply center,their grasp of basic knowledge and professional skills can be enhanced.This can reduce technical errors during operations,improve the quality of sterile items,and reduce the risk of nosocomial infections,thereby ensuring patient safety.
6.Antimicrobial resistance profile of clinical isolates in hospitals across China:report from the CHINET Antimicrobial Resistance Surveillance Program,2023
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 ; Hua FANG ; Penghui ZHANG ; Bixia YU ; Ping GONG ; Haixia SHI ; Kaizhen WEN ; Yirong ZHANG ; Xiuli YANG ; Yiqin ZHAO ; Longfeng LIAO ; Jinhua WU ; Hongqin GU ; Lin JIANG ; Meifang HU ; Wen HE ; Jiao FENG ; Lingling YOU ; Dongmei WANG ; Dong'e WANG ; Yanyan LIU ; Yong AN ; 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 ; Jianping WANG ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Cunshan KOU ; Shunhong XUE ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Xiaoyan ZENG ; Wen LI ; Yan GENG ; Zeshi LIU
Chinese Journal of Infection and Chemotherapy 2024;24(6):627-637
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in healthcare facilities in major regions of China in 2023.Methods Clinical isolates collected from 73 hospitals across China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2023 Clinical & Laboratory Standards Institute (CLSI) breakpoints.Results A total of 445199 clinical isolates were collected in 2023,of which 29.0% were gram-positive and 71.0% 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) (MRSA,MRSE and MRCNS) was 29.6%,81.9% and 78.5%,respectively.Methicillin-resistant strains showed significantly higher resistance rates to most antimicrobial agents than methicillin-susceptible strains (MSSA,MSSE and MSCNS).Overall,92.9% of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 91.4% of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis had 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 93.1% in the isolates from children and and 95.9% in the isolates from adults.The resistance rate to carbapenems was lower than 15.0% for most Enterobacterales species except for Klebsiella,22.5% and 23.6% of which were resistant to imipenem and meropenem,respectively .Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.6% to 10.0%.The resistance rate to imipenem and meropenem was 21.9% and 17.4% for Pseudomonas aeruginosa,respectively,and 67.5% and 68.1% for Acinetobacter baumannii,respectively.Conclusions Increasing resistance to the commonly used antimicrobial agents is still observed in clinical bacterial isolates.However,the prevalence of important crabapenem-resistant organisms such as crabapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a slightly decreasing trend.This finding suggests that strengthening bacterial resistance surveillance and multidisciplinary linkage are important for preventing the occurrence and development of bacterial resistance.
7.Research progress of nutritional assessment tools in patients with cardiovascular diseases
Pan PENG ; Yinghong ZHANG ; Li ZHOU ; Hongjuan CHANG
Chinese Journal of Practical Nursing 2024;40(21):1671-1675
Malnutrition is relatively common in patients with cardiovascular diseases and is closely related to the poor prognosis of the disease. This article reviewed the main contents and application status, advantages and disadvantages of various nutritional assessment tools for the patients with cardiovascular diseases to provide the basis for healthcare professionals to select the appropriate nutritional assessment method of patients with cardiovascular diseases, identify their malnutrition as early as possible, and implement targeted nutritional interventions.
8.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.
9.Antimicrobial resistance profile of clinical isolates in hospitals across China:report from the CHINET Antimicrobial Resistance Surveillance Program,2023
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 ; Hua FANG ; Penghui ZHANG ; Bixia YU ; Ping GONG ; Haixia SHI ; Kaizhen WEN ; Yirong ZHANG ; Xiuli YANG ; Yiqin ZHAO ; Longfeng LIAO ; Jinhua WU ; Hongqin GU ; Lin JIANG ; Meifang HU ; Wen HE ; Jiao FENG ; Lingling YOU ; Dongmei WANG ; Dong'e WANG ; Yanyan LIU ; Yong AN ; 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 ; Jianping WANG ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Cunshan KOU ; Shunhong XUE ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Xiaoyan ZENG ; Wen LI ; Yan GENG ; Zeshi LIU
Chinese Journal of Infection and Chemotherapy 2024;24(6):627-637
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in healthcare facilities in major regions of China in 2023.Methods Clinical isolates collected from 73 hospitals across China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2023 Clinical & Laboratory Standards Institute (CLSI) breakpoints.Results A total of 445199 clinical isolates were collected in 2023,of which 29.0% were gram-positive and 71.0% 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) (MRSA,MRSE and MRCNS) was 29.6%,81.9% and 78.5%,respectively.Methicillin-resistant strains showed significantly higher resistance rates to most antimicrobial agents than methicillin-susceptible strains (MSSA,MSSE and MSCNS).Overall,92.9% of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 91.4% of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis had 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 93.1% in the isolates from children and and 95.9% in the isolates from adults.The resistance rate to carbapenems was lower than 15.0% for most Enterobacterales species except for Klebsiella,22.5% and 23.6% of which were resistant to imipenem and meropenem,respectively .Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.6% to 10.0%.The resistance rate to imipenem and meropenem was 21.9% and 17.4% for Pseudomonas aeruginosa,respectively,and 67.5% and 68.1% for Acinetobacter baumannii,respectively.Conclusions Increasing resistance to the commonly used antimicrobial agents is still observed in clinical bacterial isolates.However,the prevalence of important crabapenem-resistant organisms such as crabapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a slightly decreasing trend.This finding suggests that strengthening bacterial resistance surveillance and multidisciplinary linkage are important for preventing the occurrence and development of bacterial resistance.
10.The efficacy of postoperative radiotherapy in stage Ⅲ(N 2) non-small cell lung cancer: a meta analysis
Lixian LING ; Shishi ZHOU ; Hongjuan ZHENG ; Ruihua YIN ; Mengjun TANG ; Jianfei FU
Chinese Journal of Radiation Oncology 2023;32(4):293-300
Objective:To conduct meta analysis to compare the effect of complete resection with or without postoperative radiotherapy (PORT) on survival in stage Ⅲ(N 2) non-small cell lung cancer (NSCLC). Methods:Relevant studies of the efficacy of PORT for stage Ⅲ(N 2) NSCLC were searched from Wanfang Data, PubMed, and Cochrane Library from January 2006 to January 2022. Literature screening, extraction of information and assessment of the risk of bias of the included literature was carried out by two independent researchers. Meta analysis was performed using R4.0.3 software. Results:A total of 12 publications consisting of 2992 patients were included, 1479 cases in the PORT group and 1513 cases in the control group. PORT improved the overall survival (OS) and disease free survival (DFS) compared to the control group. Fixed-effects model meta analysis of 6 randomized controlled trials showed that PORT did not significantly reduce the risk of death ( HR=0.98, 95% CI: 0.80-1.20). Fixed-effects model meta analysis of 6 retrospective studies showed that PORT improved prognosis ( HR=0.68, 95% CI: 0.59-0.79). PORT could improve OS of patients with multiple (station) metastasis of ipsilateral mediastinum and / or submandibular lymph nodes ( HR=0.89, 95% CI: 0.80-0.99). Conclusions:PORT could improve OS and DFS in stage Ⅲ(N 2) NSCLC. A trend towards benefit can be observed in the subgroup with multiple/multi-station N2 metastasis.

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