1.Expert consensus on sensitive indicators for assessment of the quality of nursing in operating theatre
Yangxi SHEN ; Ping WANG ; Xiaojun CHEN ; Guiyuan LUO ; Fengqiu GONG ; Yun LI ; Chenhui DENG ; Yuqin SUN ; Qin GUO ; Jinyan LI ; Shuyan ZENG
Modern Clinical Nursing 2025;24(5):1-9
Objective To develop the Expert Consensus on Sensitive Indicators for Assessment of the Quality of Nursing in Operating Theatre and provide a scientific and practical guidance for improving the quality of nursing in operating theatre.Methods The writing team established by the Operating Room Nursing Professional Committee of Guangdong Nursing Association conducted systematic literature retrieval and screening,and used the updated clinical Guidelines for Research and Evaluation Ⅱ in UK 2017.AGREE Ⅱ and the evidence evaluation system of the Australian JBI(Joanna Briggs Institute,JBI)Evidence-Based Health Care Center evidence level system(2016 Edition)comprehensively analyzed the evidence related to the sensitive indicators for evaluating the quality of operating room nursing and the suggestions of the writing group members.The first draft was formed based on the three-dimensional quality evaluation theoretical framework of"structure-process-result".Through the Delphi method,after two rounds of expert consultations and members'votes,the first draft was deeply revised and improved.Results Based on the three-dimensional quality evaluation theoretical framework of"structure-process-outcome"proposed by American scholar Donabedian,the expert consensus finally included five primary indicators:basic nursing quality,quality indicators of patient safety,quality indicators of hospital infection control,quality indicators of medication and safety management,and quality indicators of specialised nursing in operating theatre.The secondary indicators consisted of one structural indicator(management of commonly used instrument and equipment in operating theatre)and 17 process indicators(e.g.,infusion and blood transfusion management,body temperature management,etc.).The tertiary indicators included 26 process indicators and 11 outcome indicators(e.g.,incidence of adverse reactions of infusion during surgery,incidence of intra-operative hypothermia,etc.).Conclusion The evidence-and guideline-based Expert Consensus on Sensitive Indicators for Assessment of the Quality of Nursing in Operating Theatre based on eviclence and guidelines was established through rigorous evidence-based methods.It is operational and practical,and offers theoretical support and practical guidance for the managers of operating theatre to improve the quality of nursing.
2.Distribution characteristics of current patients with Kashin-Beck disease in Molidawa Daur Autonomous Banner, Inner Mongolia Autonomous Region
Haijun WANG ; Shuyan WU ; Jinming LIU ; Zhongmin LIU ; Peng DU ; Jinguang GUO ; Zhanfeng ZHAO ; Mingming WANG ; Guangyu YU ; Xinxin CUI ; Jianping AO ; Baolong LIU
Chinese Journal of Endemiology 2025;44(9):737-740
Objective:To study the distribution characteristics of current patients with Kashin-Beck disease (KBD) in Molidawa Daur Autonomous Banner (referred to as Morin Banner), and provide suggestions for service management.Methods:Information of KBD current patients in Morin Banner was collected from January 1, 2018 to June 30, 2024 using the "KBD Current Patient Survey System" provided by the Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention. A descriptive study method was used to analyze the basic information and clinical data of current patients.Results:As of June 30, 2024, a total of 6 223 KBD current patients were reported in Morin Banner, and the patients were distributed in 15 townships (towns). There was a statistically significant difference in the prevalence rate of KBD among different townships (towns, χ 2 = 3 069.01, P < 0.001). The minimum age of the KBD current patients was 27 years old, and the maximum was 98 years old, mainly concentrated in the age range of 45 - 74 years old, accounting for 95.7% (5 954/6 223). There was a significant difference in the prevalence rate of KBD among different age groups (χ 2 = 5 912.76, P < 0.001). The male to female ratio was 1.00∶1.14 (2 910 ∶ 3 313), and there was a statistically significant difference in prevalence rate of KBD between genders(χ 2 = 44.38, P < 0.001). The KBD current patients mainly had a primary school education, married, and farmers, accounting for 59.2% (3 685/6 223), 89.8% (5 590/6 223), 93.2% (5 802/6 223), respectively; and the clinical grading of patients is mainly degree Ⅰ. There was a statistically significant difference in the rate of limb disability among patients with different clinical grades (χ 2 = 64.26, P < 0.001). The rate of limb disability in males was higher than that in females (χ 2 = 10.36, P = 0.001). Conclusions:The KBD current patients in Morin Banner are distributed in various township (town), with middle-aged and elderly famers being the main ones. It is necessary to strengthen monitoring of KBD, and pay attention to personalized treatment and management of KBD current patients.
3.Gradient artificial bone repair scaffold regulates skeletal system tissue repair and regeneration
Yu ZHANG ; Ruian XU ; Lei FANG ; Longfei LI ; Shuyan LIU ; Lingxue DING ; Yuexi WANG ; Ziyan GUO ; Feng TIAN ; Jiajia XUE
Chinese Journal of Tissue Engineering Research 2025;29(4):846-855
BACKGROUND:Gradient artificial bone repair scaffolds can mimic unique anatomical features in musculoskeletal tissues,showing great potential for repairing injured musculoskeletal tissues. OBJECTIVE:To review the latest research advances in gradient artificial bone repair scaffolds for tissue engineering in the musculoskeletal system and describe their advantages and fabrication strategies. METHODS:The first author of the article searched the Web of Science and PubMed databases for articles published from 2000 to 2023 with search terms"gradient,bone regeneration,scaffold".Finally,76 papers were analyzed and summarized after the screening. RESULTS AND CONCLUSION:(1)As an important means of efficient and high-quality repair of skeletal system tissues,gradient artificial bone repair scaffolds are currently designed bionically for the natural gradient characteristics of bone tissue,bone-cartilage,and tendon-bone tissue.These scaffolds can mimic the extracellular matrix of native tissues to a certain extent in terms of structure and composition,thus promoting cell adhesion,migration,proliferation,differentiation,and regenerative recovery of damaged tissues to their native state.(2)Advanced manufacturing technology provides more possibilities for gradient artificial bone repair scaffold preparation:Gradient electrospun fiber scaffolds constructed by spatially differentiated fiber arrangement and loading of biologically active substances have been developed;gradient 3D printed scaffolds fabricated by layered stacking,graded porosity,and bio-3D printing technology;gradient hydrogel scaffolds fabricated by in-situ layered injections,simple layer-by-layer stacking,and freeze-drying method;and in addition,there are also scaffolds made by other modalities or multi-method coupling.These scaffolds have demonstrated good biocompatibility in vitro experiments,were able to accelerate tissue regeneration in small animal tests,and were observed to have significantly improved histological structure.(3)The currently developed gradient artificial bone repair scaffolds have problems such as mismatch of gradient scales,unclear material-tissue interactions,and side effects caused by degradation products,which need to be further optimized by combining the strengths of related disciplines and clinical needs in the future.
4.National bloodstream infection bacterial resistance surveillance report 2023: Gram-positive bacteria
Chaoqun YING ; Jinru JI ; Zhiying LIU ; Qing YANG ; Haishen KONG ; Jiangqin SONG ; Hui DING ; Yanyan LI ; Yuanyuan DAI ; Haifeng MAO ; Pengpeng TIAN ; Lu WANG ; Yongyun LIU ; Yizheng ZHOU ; Jiliang WANG ; Yan JIN ; Donghong HUANG ; Hongyun XU ; Peng ZHANG ; Xinhua QIANG ; Hong HE ; Lin ZHENG ; Junmin CAO ; Zhou LIU ; Ying HUANG ; Yan GENG ; Haiquan KANG ; Dan LIU ; Guolin LIAO ; Lixia ZHANG ; Fenghong CHEN ; Yanhong LI ; Baohua ZHANG ; Haixin DONG ; Xiaoyan LI ; Donghua LIU ; Qiuying ZHANG ; Xuefei HU ; Liang GUO ; Sijin MAN ; Dijing SONG ; Rong XU ; Youdong YIN ; Kunpeng LIANG ; Aiyun LI ; Zhuo LI ; Hongxia HU ; Guoping LU ; Jinhua LIANG ; Qiang LIU ; Yinqiao DONG ; Jilu SHEN ; Shuyan HU ; Liang LUAN ; Jian LI ; Ling MENG ; Dengyan QIAO ; Xiusan XIA ; Bo QUAN ; Dahong WANG ; Chunhua HAN ; Xiaoping YAN ; Fei LI ; Shifu WANG ; Ping SHEN ; Yunbo CHEN ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2025;18(2):118-132
Objective:To report the nationwide surveillance results of pathogenic profiles and antimicrobial resistance patterns of Gram-positive bloodstream infections in China in 2023.Methods:The clinical isolates of Gram-posttive bacteria from blood cultures were collected in member hospitals of National Bloodstream Infection Bacterial Resistant Investigation Collaborative System(BRICS)during January to December 2023. Antimicrobial susceptibility testing was performed using the dilution method recommended by the Clinical and Laboratory Standards Institute(CLSI). Statistical analyses were conducted using WHONET 5.6 and SPSS 25.0 software.Results:A total of 4 385 Gram-positive bacterial isolates were obtained from 60 participating center. The top five pathogens were Staphylococcus aureus( n=1 544,35.2%),coagulase-negative Staphylococci( n=1 441,32.9%), Enterococcus faecium( n=574,13.1%), Enterococcus faecalis( n=385,8.8%),and α-hemolytic Streptococci( n=187,4.3%). The prevalence of methicillin-resistant Staphylococcus aureus(MRSA)and methicillin-resistant coagulase-negative Staphylococci(MRCNS)was 26.2%(405/1 544)and 69.8%(1 006/1 441),respectively. Notably,all Staphylococci remained susceptible to glycopeptide or daptomycin. Staphylococcus aureus demonstrated excellent susceptibility(>97.0%)to cephalobiol,rifampicin,trimethoprim-sulfamethoxazole,linezolid,minocycline,tigecycline,and eravacycline. No Enterococcus exhibiting resistance to linezolid were detected. Glycopeptide resistance was uncommon but more frequent in Enterococcus faecium(resistance to vancomycin and teicoplanin:both 1.7%)compared to Enterococcus faecalis(both 0.3%). The detection rates of MRSA and MRCNS exhibited significant regional variations across the country( χ2=17.674 and 148.650,respectively,both P<0.001). No vancomycin-resistant Enterococci were detected in central China. Institutional comparison demonstrated higher prevalence of MRSA( χ2=14.111, P<0.001)and MRCNS( χ2=4.828, P=0.028)in provincial hospitals than that in municipal hospitals. Socioeconomic analysis identified elevated detection rates of both MRSA( χ2=18.986, P<0.001)and MRCNS( χ2=4.477, P=0.034)in less developed regions(per capita GDP
5.National bloodstream infection bacterial resistance surveillance report (2023) : Gram-negative bacteria
Jinru JI ; Zhiying LIU ; Chaoqun YING ; Qing YANG ; Haishen KONG ; Jiangqin SONG ; Hui DING ; Yanyan LI ; Yuanyuan DAI ; Haifeng MAO ; Pengpeng TIAN ; Lu WANG ; Yongyun LIU ; Yizheng ZHOU ; Jiliang WANG ; Yan JIN ; Donghong HUANG ; Hongyun XU ; Peng ZHANG ; Xinhua QIANG ; Hong HE ; Lin ZHENG ; Junmin CAO ; Zhou LIU ; Ying HUANG ; Yan GENG ; Haiquan KANG ; Dan LIU ; Guolin LIAO ; Lixia ZHANG ; Fenghong CHEN ; Yanhong LI ; Baohua ZHANG ; Haixin DONG ; Xiaoyan LI ; Donghua LIU ; Qiuying ZHANG ; Xuefei HU ; Liang GUO ; Sijin MAN ; Dijing SONG ; Rong XU ; Youdong YIN ; Kunpeng LIANG ; Aiyun LI ; Zhuo LI ; Hongxia HU ; Guoping LU ; Jinhua LIANG ; Qiang LIU ; Yinqiao DONG ; Jilu SHEN ; Shuyan HU ; Liang LUAN ; Jian LI ; Ling MENG ; Dengyan QIAO ; Xiusan XIA ; Bo QUAN ; Dahong WANG ; Chunhua HAN ; Xiaoping YAN ; Fei LI ; Shifu WANG ; Ping SHEN ; Yunbo CHEN ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2025;18(1):47-62
Objective:To report the results of bacterial resistant investigation collaborative system(BRICS)on the distribution and antimicrobial resistance profile of clinical Gram-negative bacteria isolates from bloodstream infections in China in 2023,and provide reference for clinical tretment of bloodstream infections and prevention and control of bacterial resistance.Methods:The clinical isolates of Gram-negative bacteria from blood cultures in member hospitals of BRICS were collected during January 2023 to December 2023. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute(CLSI). WHONET 5.6 and SPSS 25.0 were used to analyze the data.Results:During the study period,11 492 strains of Gram-negative bacteria were collected from 60 hospitals,of which 10 098(87.9%)were Enterobacterales and 1 394(12.1%)were non-fermentative bacteria. The top 5 bacterial species were Escherichia coli(50.0%), Klebsiella pneumoniae(26.1%), Pseudomonas aeruginosa(5.1%), Acinetobacter baumannii complex(5.0%)and Enterobacter cloacae complex(4.1%). The ESBL-producing rates in Escherichia coli, Klebsiella pneumoniae and Proteus mirablilis were 46.8%(2 685/5 741),18.3%(549/2 999)and 44.0%(77/175),respectively. The prevalence of carbapenem-resistant Escherichia coli(CREC)and carbapenem-resistant Klebsiella pneumoniae(CRKP)were 1.3%(76/5 741)and 15.0%(450/2 999);32.9%(25/76)and 78.0%(351/450)of CREC and CRKP were sensitive to ceftazidime/avibactam combination,respectively. 94.7%(72/76)and 90.2%(406/450)of CREC and CRKP were sensitive to aztreonam/avibactam combination. Furthermore,57.9%(44/76)and 79.1%(356/450)were sensitive to imipenem/relebactam combination. The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)complex was 64.6%(370/573),while more than 80.0% of CRAB complex was sensitive to tigecycline,eravacycline and polymyxin B. The prevalence of carbapenem-resistant Pseudomonas aeruginosa(CRPA)was 17.0%(99/581). There were differences in the composition ratio of Gram-negative bacteria in bloodstream infections and the prevalence of important Gram-negative bacteria resistance among different regions in China,with statistically significant differences in the prevalence of CREC,CRKP,CRPA and CRAB complex( χ2=10.6,28.6,10.8 and 19.3, P<0.05). The prevalence of ESBL-producing Escherichia coli, CREC,CRAB complex and CRKP were higher in provincial hospitals than those in municipal hospitals( χ2=12.5,9.8,12.7 and 57.8,all P<0.01). Conclusions:Gram-negative bacteria are the main pathogens causing bloodstream infections in China,and Escherichia coli is ranked in the top,while the trend of Klebsiella pneumoniae increases continuously with time. CRKP infection shows a slow upward trend,CREC infecton maintains a low prevalence level,and CRAB complex infection continues to exhibit a high prevalence rate. The composition and resistance patterns of pathogens causing bloodstream infections vary to some extent across different regions and levels of hospitals in China.
6.Distribution characteristics of current patients with Kashin-Beck disease in Molidawa Daur Autonomous Banner, Inner Mongolia Autonomous Region
Haijun WANG ; Shuyan WU ; Jinming LIU ; Zhongmin LIU ; Peng DU ; Jinguang GUO ; Zhanfeng ZHAO ; Mingming WANG ; Guangyu YU ; Xinxin CUI ; Jianping AO ; Baolong LIU
Chinese Journal of Endemiology 2025;44(9):737-740
Objective:To study the distribution characteristics of current patients with Kashin-Beck disease (KBD) in Molidawa Daur Autonomous Banner (referred to as Morin Banner), and provide suggestions for service management.Methods:Information of KBD current patients in Morin Banner was collected from January 1, 2018 to June 30, 2024 using the "KBD Current Patient Survey System" provided by the Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention. A descriptive study method was used to analyze the basic information and clinical data of current patients.Results:As of June 30, 2024, a total of 6 223 KBD current patients were reported in Morin Banner, and the patients were distributed in 15 townships (towns). There was a statistically significant difference in the prevalence rate of KBD among different townships (towns, χ 2 = 3 069.01, P < 0.001). The minimum age of the KBD current patients was 27 years old, and the maximum was 98 years old, mainly concentrated in the age range of 45 - 74 years old, accounting for 95.7% (5 954/6 223). There was a significant difference in the prevalence rate of KBD among different age groups (χ 2 = 5 912.76, P < 0.001). The male to female ratio was 1.00∶1.14 (2 910 ∶ 3 313), and there was a statistically significant difference in prevalence rate of KBD between genders(χ 2 = 44.38, P < 0.001). The KBD current patients mainly had a primary school education, married, and farmers, accounting for 59.2% (3 685/6 223), 89.8% (5 590/6 223), 93.2% (5 802/6 223), respectively; and the clinical grading of patients is mainly degree Ⅰ. There was a statistically significant difference in the rate of limb disability among patients with different clinical grades (χ 2 = 64.26, P < 0.001). The rate of limb disability in males was higher than that in females (χ 2 = 10.36, P = 0.001). Conclusions:The KBD current patients in Morin Banner are distributed in various township (town), with middle-aged and elderly famers being the main ones. It is necessary to strengthen monitoring of KBD, and pay attention to personalized treatment and management of KBD current patients.
7.Expert consensus on sensitive indicators for assessment of the quality of nursing in operating theatre
Yangxi SHEN ; Ping WANG ; Xiaojun CHEN ; Guiyuan LUO ; Fengqiu GONG ; Yun LI ; Chenhui DENG ; Yuqin SUN ; Qin GUO ; Jinyan LI ; Shuyan ZENG
Modern Clinical Nursing 2025;24(5):1-9
Objective To develop the Expert Consensus on Sensitive Indicators for Assessment of the Quality of Nursing in Operating Theatre and provide a scientific and practical guidance for improving the quality of nursing in operating theatre.Methods The writing team established by the Operating Room Nursing Professional Committee of Guangdong Nursing Association conducted systematic literature retrieval and screening,and used the updated clinical Guidelines for Research and Evaluation Ⅱ in UK 2017.AGREE Ⅱ and the evidence evaluation system of the Australian JBI(Joanna Briggs Institute,JBI)Evidence-Based Health Care Center evidence level system(2016 Edition)comprehensively analyzed the evidence related to the sensitive indicators for evaluating the quality of operating room nursing and the suggestions of the writing group members.The first draft was formed based on the three-dimensional quality evaluation theoretical framework of"structure-process-result".Through the Delphi method,after two rounds of expert consultations and members'votes,the first draft was deeply revised and improved.Results Based on the three-dimensional quality evaluation theoretical framework of"structure-process-outcome"proposed by American scholar Donabedian,the expert consensus finally included five primary indicators:basic nursing quality,quality indicators of patient safety,quality indicators of hospital infection control,quality indicators of medication and safety management,and quality indicators of specialised nursing in operating theatre.The secondary indicators consisted of one structural indicator(management of commonly used instrument and equipment in operating theatre)and 17 process indicators(e.g.,infusion and blood transfusion management,body temperature management,etc.).The tertiary indicators included 26 process indicators and 11 outcome indicators(e.g.,incidence of adverse reactions of infusion during surgery,incidence of intra-operative hypothermia,etc.).Conclusion The evidence-and guideline-based Expert Consensus on Sensitive Indicators for Assessment of the Quality of Nursing in Operating Theatre based on eviclence and guidelines was established through rigorous evidence-based methods.It is operational and practical,and offers theoretical support and practical guidance for the managers of operating theatre to improve the quality of nursing.
8.National bloodstream infection bacterial resistance surveillance report 2023: Gram-positive bacteria
Chaoqun YING ; Jinru JI ; Zhiying LIU ; Qing YANG ; Haishen KONG ; Jiangqin SONG ; Hui DING ; Yanyan LI ; Yuanyuan DAI ; Haifeng MAO ; Pengpeng TIAN ; Lu WANG ; Yongyun LIU ; Yizheng ZHOU ; Jiliang WANG ; Yan JIN ; Donghong HUANG ; Hongyun XU ; Peng ZHANG ; Xinhua QIANG ; Hong HE ; Lin ZHENG ; Junmin CAO ; Zhou LIU ; Ying HUANG ; Yan GENG ; Haiquan KANG ; Dan LIU ; Guolin LIAO ; Lixia ZHANG ; Fenghong CHEN ; Yanhong LI ; Baohua ZHANG ; Haixin DONG ; Xiaoyan LI ; Donghua LIU ; Qiuying ZHANG ; Xuefei HU ; Liang GUO ; Sijin MAN ; Dijing SONG ; Rong XU ; Youdong YIN ; Kunpeng LIANG ; Aiyun LI ; Zhuo LI ; Hongxia HU ; Guoping LU ; Jinhua LIANG ; Qiang LIU ; Yinqiao DONG ; Jilu SHEN ; Shuyan HU ; Liang LUAN ; Jian LI ; Ling MENG ; Dengyan QIAO ; Xiusan XIA ; Bo QUAN ; Dahong WANG ; Chunhua HAN ; Xiaoping YAN ; Fei LI ; Shifu WANG ; Ping SHEN ; Yunbo CHEN ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2025;18(2):118-132
Objective:To report the nationwide surveillance results of pathogenic profiles and antimicrobial resistance patterns of Gram-positive bloodstream infections in China in 2023.Methods:The clinical isolates of Gram-posttive bacteria from blood cultures were collected in member hospitals of National Bloodstream Infection Bacterial Resistant Investigation Collaborative System(BRICS)during January to December 2023. Antimicrobial susceptibility testing was performed using the dilution method recommended by the Clinical and Laboratory Standards Institute(CLSI). Statistical analyses were conducted using WHONET 5.6 and SPSS 25.0 software.Results:A total of 4 385 Gram-positive bacterial isolates were obtained from 60 participating center. The top five pathogens were Staphylococcus aureus( n=1 544,35.2%),coagulase-negative Staphylococci( n=1 441,32.9%), Enterococcus faecium( n=574,13.1%), Enterococcus faecalis( n=385,8.8%),and α-hemolytic Streptococci( n=187,4.3%). The prevalence of methicillin-resistant Staphylococcus aureus(MRSA)and methicillin-resistant coagulase-negative Staphylococci(MRCNS)was 26.2%(405/1 544)and 69.8%(1 006/1 441),respectively. Notably,all Staphylococci remained susceptible to glycopeptide or daptomycin. Staphylococcus aureus demonstrated excellent susceptibility(>97.0%)to cephalobiol,rifampicin,trimethoprim-sulfamethoxazole,linezolid,minocycline,tigecycline,and eravacycline. No Enterococcus exhibiting resistance to linezolid were detected. Glycopeptide resistance was uncommon but more frequent in Enterococcus faecium(resistance to vancomycin and teicoplanin:both 1.7%)compared to Enterococcus faecalis(both 0.3%). The detection rates of MRSA and MRCNS exhibited significant regional variations across the country( χ2=17.674 and 148.650,respectively,both P<0.001). No vancomycin-resistant Enterococci were detected in central China. Institutional comparison demonstrated higher prevalence of MRSA( χ2=14.111, P<0.001)and MRCNS( χ2=4.828, P=0.028)in provincial hospitals than that in municipal hospitals. Socioeconomic analysis identified elevated detection rates of both MRSA( χ2=18.986, P<0.001)and MRCNS( χ2=4.477, P=0.034)in less developed regions(per capita GDP
9.National bloodstream infection bacterial resistance surveillance report (2023) : Gram-negative bacteria
Jinru JI ; Zhiying LIU ; Chaoqun YING ; Qing YANG ; Haishen KONG ; Jiangqin SONG ; Hui DING ; Yanyan LI ; Yuanyuan DAI ; Haifeng MAO ; Pengpeng TIAN ; Lu WANG ; Yongyun LIU ; Yizheng ZHOU ; Jiliang WANG ; Yan JIN ; Donghong HUANG ; Hongyun XU ; Peng ZHANG ; Xinhua QIANG ; Hong HE ; Lin ZHENG ; Junmin CAO ; Zhou LIU ; Ying HUANG ; Yan GENG ; Haiquan KANG ; Dan LIU ; Guolin LIAO ; Lixia ZHANG ; Fenghong CHEN ; Yanhong LI ; Baohua ZHANG ; Haixin DONG ; Xiaoyan LI ; Donghua LIU ; Qiuying ZHANG ; Xuefei HU ; Liang GUO ; Sijin MAN ; Dijing SONG ; Rong XU ; Youdong YIN ; Kunpeng LIANG ; Aiyun LI ; Zhuo LI ; Hongxia HU ; Guoping LU ; Jinhua LIANG ; Qiang LIU ; Yinqiao DONG ; Jilu SHEN ; Shuyan HU ; Liang LUAN ; Jian LI ; Ling MENG ; Dengyan QIAO ; Xiusan XIA ; Bo QUAN ; Dahong WANG ; Chunhua HAN ; Xiaoping YAN ; Fei LI ; Shifu WANG ; Ping SHEN ; Yunbo CHEN ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2025;18(1):47-62
Objective:To report the results of bacterial resistant investigation collaborative system(BRICS)on the distribution and antimicrobial resistance profile of clinical Gram-negative bacteria isolates from bloodstream infections in China in 2023,and provide reference for clinical tretment of bloodstream infections and prevention and control of bacterial resistance.Methods:The clinical isolates of Gram-negative bacteria from blood cultures in member hospitals of BRICS were collected during January 2023 to December 2023. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute(CLSI). WHONET 5.6 and SPSS 25.0 were used to analyze the data.Results:During the study period,11 492 strains of Gram-negative bacteria were collected from 60 hospitals,of which 10 098(87.9%)were Enterobacterales and 1 394(12.1%)were non-fermentative bacteria. The top 5 bacterial species were Escherichia coli(50.0%), Klebsiella pneumoniae(26.1%), Pseudomonas aeruginosa(5.1%), Acinetobacter baumannii complex(5.0%)and Enterobacter cloacae complex(4.1%). The ESBL-producing rates in Escherichia coli, Klebsiella pneumoniae and Proteus mirablilis were 46.8%(2 685/5 741),18.3%(549/2 999)and 44.0%(77/175),respectively. The prevalence of carbapenem-resistant Escherichia coli(CREC)and carbapenem-resistant Klebsiella pneumoniae(CRKP)were 1.3%(76/5 741)and 15.0%(450/2 999);32.9%(25/76)and 78.0%(351/450)of CREC and CRKP were sensitive to ceftazidime/avibactam combination,respectively. 94.7%(72/76)and 90.2%(406/450)of CREC and CRKP were sensitive to aztreonam/avibactam combination. Furthermore,57.9%(44/76)and 79.1%(356/450)were sensitive to imipenem/relebactam combination. The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)complex was 64.6%(370/573),while more than 80.0% of CRAB complex was sensitive to tigecycline,eravacycline and polymyxin B. The prevalence of carbapenem-resistant Pseudomonas aeruginosa(CRPA)was 17.0%(99/581). There were differences in the composition ratio of Gram-negative bacteria in bloodstream infections and the prevalence of important Gram-negative bacteria resistance among different regions in China,with statistically significant differences in the prevalence of CREC,CRKP,CRPA and CRAB complex( χ2=10.6,28.6,10.8 and 19.3, P<0.05). The prevalence of ESBL-producing Escherichia coli, CREC,CRAB complex and CRKP were higher in provincial hospitals than those in municipal hospitals( χ2=12.5,9.8,12.7 and 57.8,all P<0.01). Conclusions:Gram-negative bacteria are the main pathogens causing bloodstream infections in China,and Escherichia coli is ranked in the top,while the trend of Klebsiella pneumoniae increases continuously with time. CRKP infection shows a slow upward trend,CREC infecton maintains a low prevalence level,and CRAB complex infection continues to exhibit a high prevalence rate. The composition and resistance patterns of pathogens causing bloodstream infections vary to some extent across different regions and levels of hospitals in China.
10.Construction and Validation of Risk Prediction Model for Gastrointestinal Bleeding After Cardiopulmonary Bypass Heart Surgery
Lin LI ; Xuejing WANG ; Wenxian WU ; Shuyan WU ; Xueyan WANG ; Meixia GUO ; Huanhuan LI
Chinese Circulation Journal 2024;39(8):800-805
Objectives:To establish a risk prediction model for gastrointestinal bleeding after cardiopulmonary bypass heart surgery,and to verify the prediction efficacy. Methods:A total of 1 002 patients who underwent cardiopulmonary bypass heart surgery in the department of cardiac great vascular surgery of our hospital from January 2019 to November 2023 were collected by convenient sampling method.They were divided into gastrointestinal bleeding group(n=47)and non-gastrointestinal bleeding group(n=955).Logistic regression analysis was used to establish the risk prediction model,and the area under ROC curve test and Hosmer-Lemeshow χ2 test were used to compare the two groups of data Model prediction effect.Bootstrap method was used for internal validation. Results:The risk prediction model of gastrointestinal bleeding after cardiopulmonary bypass heart surgery included four predictors:time of aortic occlusion(OR=1.021,95%CI:1.012-1.030),history of digestive disease(OR=5.710,95%CI:1.697-19.212),use of intra-aortic balloon counterpulsation(OR=22.180,95%CI:5.870-83.808),and continuous kidney replacement therapy(OR=12.159,95%CI:5.066-29.181).Model formula:Logit(P)=-5.821+0.021×time of aortic occlusion+1.742×history of digestive disease+3.099×whether intra-aortic balloon counterpulsation was used+2.498×whether continuous renal replacement therapy was used.The area under ROC curve was 0.812(95%CI:0.746-0.877),sensitivity was 64.6%,specificity was 85.7%,and Youden index was 0.503.After internal validation by Bootstrap method,the consistency index after correction is 0.813. Conclusions:The risk prediction model constructed in this study cohort has a good auxiliary prediction performance for the occurrence of gastrointestinal bleeding after cardiopulmonary bypass surgery,which is helpful for risk stratification for gastrointestinal bleeding after cardiopulmonary bypass surgery and facilitate clinical decision-making in daily clinical work.

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