2.Clinical outcomes and prognostic factors of pemphigus vulgaris and pemphigus foliaceus: A 20-year retrospective study.
Hongda LI ; Wenchao LI ; Zhenzhen WANG ; Shan CAO ; Pengcheng HUAI ; Tongsheng CHU ; Baoqi YANG ; Yonghu SUN ; Peiye XING ; Guizhi ZHOU ; Yongxia LIU ; Shengli CHEN ; Qing YANG ; Mei WU ; Zhongxiang SHI ; Hong LIU ; Furen ZHANG
Chinese Medical Journal 2025;138(10):1239-1241
3.Ethical reflections on the clinical application of medical artificial intelligence
Fangfang CUI ; Zhonglin LI ; Xianying HE ; Wenchao WANG ; Yuntian CHU ; Xiaobing SHI ; Jie ZHAO
Chinese Medical Ethics 2025;38(2):159-165
Medical artificial intelligence (AI) is a new type of application formed by the combination of machine learning, computer vision, natural language processing, and other technologies with clinical medical treatment. With the continuous iteration and development of relevant technologies, medical AI has shown great potential in improving the efficiency of diagnosis and treatment, and service quality, but it also increases the possibility of triggering ethical issues. Ethical issues resulting from the clinical application of medical AI were analyzed, including the lack of algorithmic interpretability and transparency of medical AI, leading to information asymmetry and cognitive discrepancies; the concerning status of security and privacy protection of medical data; and the complex and unclear division of responsibilities due to the collaborative participation of multiple subjects in the clinical application of medical AI, resulting in increased difficulty in the identification of medical accidents and clarification of responsibilities. The paper proposed the principles of not harming patients’ interests, physician’s subjectivity, fairness and inclusiveness, and rapid response. It also explored the strategies and implementation paths for responding to the ethical issues of medical AI from multiple perspectives, including standardizing the environment and processes, clarifying responsibility attribution, continuously assessing the impact of data protection, guaranteeing data security, ensuring model transparency and interpretability, carrying out multi-subject collaboration, as well as the principles of being driven by ethical values and adhering to the “human health-centeredness.” It aimed to provide guidance for the healthy development of medical AI, ensuring technological progress while effectively managing and mitigating accompanying ethical risks, thereby promoting the benign development of medical AI technology and better serving the healthcare industry and patients.
4.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.
5.Advances in research and application of ionizing radiation biomarkers
Hongling OU ; Wenchao AI ; Yan WANG ; Yingying MA ; Lei SHI ; Qiaoyun ZHANG ; Xiujun SONG ; Xinru WANG
Chinese Journal of Pharmacology and Toxicology 2024;38(1):70-78
Exposure to ionizing radiation intervenes in genomic stability and gene expression,resulting in the disruption of normal metabolic processes in cells and organs by causing complex biolog-ical responses.Altered genomic variations,gene expression and metabolite concentrations in blood or tissue samples reflect systemic radiation damage.With the application of new techniques and exten-sive study on the mechanisms for ionizing radiation damage,related indicators such as chromosomal variation,gene expression,lipid and metabolism are being recognized and promise to be the markers for early diagnosis and prognosis of radiation exposure.Therefore,this article reviews recent progress in and potential applications of biomarkers related to ionizing radiation injury.
6.Surveillance of distribution and antimicrobial resistance of clinical bacterial isolates in Hebei Children's Hospital from 2020 to 2022
Mei LI ; Qianru XU ; Wenchao ZHANG ; Beibei CAO ; Nannan SHI ; Baohua HE ; Zhaoyi JIA ; Yinghui GUO
Chinese Journal of Infection and Chemotherapy 2024;24(6):700-707
Objective To investigate the distribution and antimicrobial resistance profiles of pathogenic bacteria in Children's Hospital of Hebei Province to inform reasonable use of antibiotics.Methods Antimicrobial susceptibility of the bacterial isolates was tested using Kirby-Bauer method,VITEK-2 Compact,BD Phoenix 100 automated systems,and E-test method.The results were interpreted according to the breakpoints recommended by the Clinical and Laboratory Standards Institute (CLSI) in 2022.Results were analyzed by WHONET 5.6 software.Results A total of 11909 isolates were collected from 2020 to 2022,of which 45.1% were Gram positive organisms and 54.9% were Gram negative organisms.The prevalence of MRSA and in S.aureus and MRCNS in coagulase-negative Staphylococcus was 36.8% and 73.8%,respectively.The resistance rate of Enterococcus faecalis and Enterococcus faecium to ampicillin was 2.6% and 93.5%,respectively,while the resistance rates of E.faecalis and E.faecium to high concentration gentamicin was 42.2% and 66.2%,respectively.E.faecium showed significantly higher resistance rates to the antibiotics tested than E.faecalis.The prevalence of PRSP and PSSP was 1.7% and 95.7% respectively in the non-meningitis S.pneumoniae isolates.No vancomycin-or linezolid-resistant strains were found in Staphylococcus,Enterococcus,or Streptococcus.The prevalence of ESBLs-producing E.coli and K.pneumoniae was 47.4% and 32.3%,respectively.The prevalence of carbapenem-resistant E.coli and K.pneumoniae was 2.0% and 22.4%,respectively.The prevalence of carbapenem-resistant P.aeruginosa (CRPA) and carbapenem-resistant A.baumannii (CRAB) was 9.5% and 22.1%,respectively.The resistance rate of Haemophilus influenzae to ampicillin was 83.8%.The prevalence of β-lactamase-producing H.influenzae and β-lactamase-non-producing ampicillin-resistant (BLNAR) H.influenzae was 76.1% and 7.7%,respectively.No meropenem-resistant strains were found in H.influenzae.Majority (98.0%) of Moraxella catarrhalis strains produced β-lactamase.Conclusions Multi-drug resistant bacterial pathogens are still serious in pediatric inpatients.The common clinical isolates showed various levels of resistance to different antimicrobial agents.It is important to continue the surveillance of bacterial resistance in children,take proactive measures to curb the spread of drug-resistant bacteria,and use antibiotics rationally.
7.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.
8.Surveillance of distribution and antimicrobial resistance of clinical bacterial isolates in Hebei Children's Hospital from 2020 to 2022
Mei LI ; Qianru XU ; Wenchao ZHANG ; Beibei CAO ; Nannan SHI ; Baohua HE ; Zhaoyi JIA ; Yinghui GUO
Chinese Journal of Infection and Chemotherapy 2024;24(6):700-707
Objective To investigate the distribution and antimicrobial resistance profiles of pathogenic bacteria in Children's Hospital of Hebei Province to inform reasonable use of antibiotics.Methods Antimicrobial susceptibility of the bacterial isolates was tested using Kirby-Bauer method,VITEK-2 Compact,BD Phoenix 100 automated systems,and E-test method.The results were interpreted according to the breakpoints recommended by the Clinical and Laboratory Standards Institute (CLSI) in 2022.Results were analyzed by WHONET 5.6 software.Results A total of 11909 isolates were collected from 2020 to 2022,of which 45.1% were Gram positive organisms and 54.9% were Gram negative organisms.The prevalence of MRSA and in S.aureus and MRCNS in coagulase-negative Staphylococcus was 36.8% and 73.8%,respectively.The resistance rate of Enterococcus faecalis and Enterococcus faecium to ampicillin was 2.6% and 93.5%,respectively,while the resistance rates of E.faecalis and E.faecium to high concentration gentamicin was 42.2% and 66.2%,respectively.E.faecium showed significantly higher resistance rates to the antibiotics tested than E.faecalis.The prevalence of PRSP and PSSP was 1.7% and 95.7% respectively in the non-meningitis S.pneumoniae isolates.No vancomycin-or linezolid-resistant strains were found in Staphylococcus,Enterococcus,or Streptococcus.The prevalence of ESBLs-producing E.coli and K.pneumoniae was 47.4% and 32.3%,respectively.The prevalence of carbapenem-resistant E.coli and K.pneumoniae was 2.0% and 22.4%,respectively.The prevalence of carbapenem-resistant P.aeruginosa (CRPA) and carbapenem-resistant A.baumannii (CRAB) was 9.5% and 22.1%,respectively.The resistance rate of Haemophilus influenzae to ampicillin was 83.8%.The prevalence of β-lactamase-producing H.influenzae and β-lactamase-non-producing ampicillin-resistant (BLNAR) H.influenzae was 76.1% and 7.7%,respectively.No meropenem-resistant strains were found in H.influenzae.Majority (98.0%) of Moraxella catarrhalis strains produced β-lactamase.Conclusions Multi-drug resistant bacterial pathogens are still serious in pediatric inpatients.The common clinical isolates showed various levels of resistance to different antimicrobial agents.It is important to continue the surveillance of bacterial resistance in children,take proactive measures to curb the spread of drug-resistant bacteria,and use antibiotics rationally.
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.Relationship of diabetes and prediabetes with lipid ratios in Changzhou Residents of Jiangsu Province
Dong QIAN ; Deren QIANG ; Hongfei SHI ; Xingjuan YAO ; Wenchao XU ; Junmin JI
Shanghai Journal of Preventive Medicine 2023;35(11):1088-1092
ObjectiveTo investigate the association of lipid ratios with diabetes and pre-diabetes in residents aged 35-75 years in Changzhou City. MethodsA multistage whole-group random sampling method was used to survey permanent residents aged 35-75 years in Tianning and Wujin districts of Changzhou City, and the study data were obtained by questionnaires, physical examination and laboratory tests. The relationship between lipid ratios and diabetes and pre-diabetes was analyzed by dichotomous logistic regression method. ResultsThe prevalence of diabetes in the surveyed population in Changzhou was 18.69%, and the prevalence of pre-diabetes was 10.53%. In the total population, the risk of pre-diabetes was significantly increased in the highest TC/HDL-C, TG/HDL-C and LDL-C/HDL-C groups, by 68%, 93% and 38%, respectively; the risk of diabetes was also significantly increased in the highest TC/HDL-C, TG/HDL-C and LDL-C/HDL-C groups, by 105%, 149% and 78%, respectively. The risk of diabetes was also significantly increased in the highest TC/HDL-C, TG/HDL-C and LDL-C/HDL-C groups, by 105%, 149% and 78%, respectively. All three lipid ratios increased in women compared to men, leading to a stronger association with increased risk of diabetes and pre-diabetes. ConclusionLipid ratios TC/HDL-C, TG/HDL-C, and LDL-C/HDL-C were correlated with the risk of diabetes and pre-diabetes in people aged 35-75 years, with TG/HDL-C having the strongest association with diabetes and pre-diabetes, and is expected to be a key predictor for assessing the development of diabetes.

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