1.SHI Zaixiang's Clinical Experience in Using Chaihu Guizhi Ganjiang Decoction (柴胡桂枝干姜汤) to Treat High Fever in Sepsis
Tingting ZHU ; Yingying LIU ; Hailan CUI ; Zhiying REN ; Mingjing SHAO ; Yan BIAN ; Liyan WANG ; Zhenjie CHEN ; Yuan LIU ;
Journal of Traditional Chinese Medicine 2025;66(16):1645-1648
This paper summarizes Professor SHI Zaixiang's clinical experience in treating high fever caused by sepsis using Chaihu Guizhi Ganjiang Decoction (柴胡桂枝干姜汤). He holds that the key pathogenesis of sepsis involves constrained heat in the shaoyang and internal accumulation of water and fluids. The clinical manifestations such as high fever, chills, and alternating sensations of cold and heat are attributed to pathogenic heat constrained in the shaoyang. Meanwhile, soft tissue edema and serous cavity effusions are due to shaoyang dysfunction and internal water retention. In clinical practice, treating sepsis-related high fever requires addressing both the shaoyang-constrained heat and the associated edema and effusions. The therapeutic approach focuses on harmonizing the shaoyang and resolving internal fluids, using Chaihu Guizhi Ganjiang Decoction as the base formula with flexible modifications. Professor SHI emphasizes that this formula shows a rapid antipyretic effect, particularly in cases where multiple anti-infective treatments have failed.
2.Screening of Anti-Streptococcus pneumoniae Active Ingredients from Pilea peltata
Zhiying WEI ; Yan HUANG ; Shenggao YIN ; Jie LIANG ; Chengsheng LU ; Fangchan LI ; Yuting XIE ; Yaohua LI ; Xiaojiao PAN
Herald of Medicine 2025;44(5):687-694
Objective To screen the anti-Streptococcus pneumoniae(Spn)active ingredients in vitro from different po-lar parts of Pilea peltata,and to examine the combined antibacterial effect of the active ingredient and amoxicillin(AMX).Methods A 96-well plate microdilution method was used to determine the minimum inhibitory concentration(MIC)of different polar parts;the most active polar part was separated by preparative high-performance liquid chromatography,and the active ingre-dients were identified using spectral technology.The fractional inhibitory concentration(FIC)of active ingredients and AMX was determined by the 96-well plate chessboard microdilution method.The crystal violet method was used to investigate the effect of ac-tive ingredients on Spn biofilm.The effect of active ingredients on the appearance and morphology of Spn was investigated under the electron microscope.Results The MICs of the petroleum ether part,chloroform part,ethyl acetate part,n-butanol part,and water part were 1.000,1.000,0.500,1.000,and 2.000 mg·mL-1 respectively,among which the ethyl acetate part had the stron-gest antibacterial activity.Three compounds were isolated from ethyl acetate,namely 5,7,3',4'-tetramethoxyflavone 1,8-O-(p-coumaroyl)-1(10)E,4(5)E-humuladien-8-ol 2 and 1-O-p-coumaroyl copaborneol 3.These compounds were all isolated for the first time from Pilea peltate,their MICs against Spn were 200.000,50.000,and 25.000 μg·mL-1 respectively,and the compound 3 had the strongest antibacterial activity;the FIC value of AMX and compound 3 was 0.50,which had a synergistic antibacterial effect on Spn.Both AMX and compound 3 had inhibitory effects on Spn biofilm,but the biofilm inhibition rate of compound 3(59.10±1.04%)was significantly lower than AMX(87.38±0.84)%(P<0.01);Moreover,there was no significant difference in biofilm inhibition rate between the combination of the two and AMX(P>0.05).The scanning electron microscope results showed that the bacterial cells in the compound 3 group had a smooth surface but varying degrees of depression.The surface of the bacteri-al cells in the AMX group and the AMX combined compound 3 group showed severe swelling and rupture.Conclusions Fla-vonoids and sesquiterpenoids are both the anti-Spn active components of Pilea peltate.Among them,sesquiterpenoids have more potent antibacterial activity,and their antibacterial action mechanism is related to inhibiting bacterial biofilms.Compound 3 and AMX have a synergistic antibacterial effect on Spn,but its mechanism of action is not by enhancing biofilm inhibition;although compound 3 cannot destroy the cell wall of Spn,it still has a negative impact on the appearance of the bacteria.
3.Construction of a standardized training system for research capacity of military general practitioners and its application effect
Kai YU ; Dongpeng CHEN ; Zhiying TONG ; Xiaolong CHENG ; Wei ZHAO ; Yi ZHANG ; Yan SHANG
Journal of Navy Medicine 2025;46(2):144-149
Objective To investigate the current status and experience of scientific research,attitude and demand for research training,and other research situations in military doctors with standardized training,to construct a targeted training system for research capacity of military general practitioners,and to explore the effect of the training system on the comprehensive research ability of military doctors.Methods Eighty-one military general practitioners who participated in the standardized training at The First Affiliated Hospital of Naval Medical University in 2022 were selected as research objects.A questionnaire-based survey was conducted among these doctors.SPSS 25.0 software was used to analyze the data obtained.The cultivation of research capacity included the training of basic research skills,advancement of reseach capacity,and the improvement of the assessment and incentive mechanism.Before and one year after the training,the research status,research attitude and demand,comprehensive research capacity,and mentor's evaluation for the research capacity were investigated.Results After one year of training,basic research skills and comprehensive research capacity of military general practitioners were significantly improved,mentor's evaluation was gradually improved,research achievements were significantly increased,training attitudes became more positive,and training needs changed.Conclusion The research capacity of military general practitioners has been significantly improved through the construction of training system of research capacity and continuous practice.
4.Analysis of the impact of phase Ⅱ cardiac rehabilitation on the rehabilitation needs and physical activity of patients with coronary heart disease after interventional surgery
Ying ZHANG ; Xiwei ZHANG ; Jiahui WU ; Wenxian LIU ; Yan FENG ; Nan LI ; Yong SHAO ; Lixin ZHANG ; Yuan TIAN ; Zhiying LI ; Yin LI
Chongqing Medicine 2025;54(5):1080-1084
Objective To investigate the impact of phase Ⅱ cardiac rehabilitation on the rehabilitation needs and physical activity status of patients after coronary heart disease intervention.Methods A total of 90 patients with coronary heart disease who underwent percutaneous coronary intervention(PCI)in the Coronary Heart Disease Center of the hospital from August 2023 to August 2024 were selected as the research subjects.They were subjected to a 12-week standardized phase Ⅱ cardiac rehabilitation training.General data survey forms,cardiac rehabilitation scales,and the International Physical Activity Questionnaire were used for scale surveys to understand the patients' needs before and after rehabilitation and their weekly physical activity en-ergy expenditure.The cardiopulmonary exercise test gold standard,which reflects exercise capacity through three indicators-maximum oxygen uptake(VO2 max),anaerobic threshold(AT),and metabolic equivalents(MET),were used to compare the physical activity status before and after cardiac rehabilitation.Results Compared with before the implementation,after the implementation of cardiac rehabilitation,the autonomy score in-creased(21.36±1.85 vs.16.73±3.28),the process anxiety(12.60±3.87 vs.14.27±2.12)and outcome anxiety scores(2.31±1.76 vs.4.56±3.56)decreased,the level of low-intensity physical activity decreased[(2 711.62±1 487.09)min/week vs.(3 845.97±2 083.71)min/week],the levels of moderate-intensity[(1 314.67±783.54)min/week vs.(686.22±126.79)min/week],high-intensity[(1 861.33±798.27)min/week vs.(112.00±40.77)min/week],and total physical activity increased[(5 887.62±2 843.54)min/week vs.(4 644.19±2 287.16)min/week].The levels of VO2 max[(28.11±14.28)mL·min-1·kg-1 vs.(23.82±12.34)mL·min-1·kg-1],AT[(16.06±5.41)mL·min-1·kg-1 vs.(13.53±4.56)mL·min-1·kg-1],and MET[(6.89±1.59)mL·min-1·kg-1 vs.(5.78±1.21)mL·min-1·kg-1]all in-creased,with statistically significant differences(P<0.05).Conclusion Phase Ⅱ rehabilitation after PCI can effectively improve patients' physical activity levels.
5.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
6.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.
7.Evaluation of the application of AI morphological assisted analysis system in the pre-classification of blood cells of AML-MR patients
Rui ZHENG ; Zhiying SHEN ; Ziyi YAN ; Yini YU ; Jun GAN ; Baoguo CHEN
Chinese Journal of Laboratory Medicine 2025;48(3):357-363
Objective:To explore the application value of the artificial intelligence (AI) morphological assisted analysis system in the pre-classification of blood cells in patients with acute myeloid leukemia, myelodysplasia-related (AML-MR).Methods:A retrospective analysis was conducted on the bone marrow and peripheral blood cell morphology of patients initially diagnosed with AML-MR at Taizhou Hospital in Zhejiang Province from September 1, 2022, to December 31, 2023. A total of 44 patients, including 25 males and 19 females, with a median age of 71 (63.5, 75.3) years. Bone marrow and peripheral blood morphology were examined using the Morphogo cell morphology assisted analysis system, with the artificial classification results serving as the gold standard. A confusion matrix was constructed to evaluate the precision, sensitivity, and specificity of the AI system in identifying various cell types in bone marrow and peripheral blood for AML-MR diagnosis. The impact of dysplastic hematopoiesis on AI pre-classification was analyzed by comparing AI and manual classification results.Results:The AI system completed the pre-classification of 44 bone marrow smears and 42 corresponding peripheral blood smears from AML-MR patients. For bone marrow smears, the precision, sensitivity, and specificity of AI in pre-classifying blast cells were 85.78%, 91.01%, and 94.58%, respectively. For peripheral blood smears, these values were 87.11%, 87.05%, and 98.29%, respectively. The precision and sensitivity of AI in pre-classifying promyelocytes were 54.26% and 46.93%, respectively, while for monocytes, they were 58.16% and 68.34%, both lower than those for blast cells. The precision and sensitivity of AI in identifying myelocytes and metamyelocytes also decreased (77.47%, 66.25% and 81.91%, 63.29%, respectively). The precision and sensitivity of AI in pre-classifying erythroblasts/proerythroblasts (67.71%, 69.89%) were lower than those for polychromatic and orthochromatic normoblasts (83.43%, 85.53% and 92.97%, 86.96%, respectively). The confusion matrix and comparative analysis of AI and manual classification indicated that the decline in AI pre-classification precision and sensitivity was due to frequent misclassification between promonocytes and monocytes, as well as between monocytes and promyelocytes. Additionally, this decline is associated with dysplasia. However, the impact of dysplasia on the AI pre-classification of mature-stage granulocytes was minimal.Conclusion:The AI system demonstrated high precision, sensitivity, and specificity in pre-classifying blast cells in bone marrow and peripheral blood smears from AML-MR patients. The AI-assisted morphological analysis system can be effectively utilized for the pre-classification of blood cells in AML-MR patients.
8.Screening of Anti-Streptococcus pneumoniae Active Ingredients from Pilea peltata
Zhiying WEI ; Yan HUANG ; Shenggao YIN ; Jie LIANG ; Chengsheng LU ; Fangchan LI ; Yuting XIE ; Yaohua LI ; Xiaojiao PAN
Herald of Medicine 2025;44(5):687-694
Objective To screen the anti-Streptococcus pneumoniae(Spn)active ingredients in vitro from different po-lar parts of Pilea peltata,and to examine the combined antibacterial effect of the active ingredient and amoxicillin(AMX).Methods A 96-well plate microdilution method was used to determine the minimum inhibitory concentration(MIC)of different polar parts;the most active polar part was separated by preparative high-performance liquid chromatography,and the active ingre-dients were identified using spectral technology.The fractional inhibitory concentration(FIC)of active ingredients and AMX was determined by the 96-well plate chessboard microdilution method.The crystal violet method was used to investigate the effect of ac-tive ingredients on Spn biofilm.The effect of active ingredients on the appearance and morphology of Spn was investigated under the electron microscope.Results The MICs of the petroleum ether part,chloroform part,ethyl acetate part,n-butanol part,and water part were 1.000,1.000,0.500,1.000,and 2.000 mg·mL-1 respectively,among which the ethyl acetate part had the stron-gest antibacterial activity.Three compounds were isolated from ethyl acetate,namely 5,7,3',4'-tetramethoxyflavone 1,8-O-(p-coumaroyl)-1(10)E,4(5)E-humuladien-8-ol 2 and 1-O-p-coumaroyl copaborneol 3.These compounds were all isolated for the first time from Pilea peltate,their MICs against Spn were 200.000,50.000,and 25.000 μg·mL-1 respectively,and the compound 3 had the strongest antibacterial activity;the FIC value of AMX and compound 3 was 0.50,which had a synergistic antibacterial effect on Spn.Both AMX and compound 3 had inhibitory effects on Spn biofilm,but the biofilm inhibition rate of compound 3(59.10±1.04%)was significantly lower than AMX(87.38±0.84)%(P<0.01);Moreover,there was no significant difference in biofilm inhibition rate between the combination of the two and AMX(P>0.05).The scanning electron microscope results showed that the bacterial cells in the compound 3 group had a smooth surface but varying degrees of depression.The surface of the bacteri-al cells in the AMX group and the AMX combined compound 3 group showed severe swelling and rupture.Conclusions Fla-vonoids and sesquiterpenoids are both the anti-Spn active components of Pilea peltate.Among them,sesquiterpenoids have more potent antibacterial activity,and their antibacterial action mechanism is related to inhibiting bacterial biofilms.Compound 3 and AMX have a synergistic antibacterial effect on Spn,but its mechanism of action is not by enhancing biofilm inhibition;although compound 3 cannot destroy the cell wall of Spn,it still has a negative impact on the appearance of the bacteria.
9.Evaluation of the application of AI morphological assisted analysis system in the pre-classification of blood cells of AML-MR patients
Rui ZHENG ; Zhiying SHEN ; Ziyi YAN ; Yini YU ; Jun GAN ; Baoguo CHEN
Chinese Journal of Laboratory Medicine 2025;48(3):357-363
Objective:To explore the application value of the artificial intelligence (AI) morphological assisted analysis system in the pre-classification of blood cells in patients with acute myeloid leukemia, myelodysplasia-related (AML-MR).Methods:A retrospective analysis was conducted on the bone marrow and peripheral blood cell morphology of patients initially diagnosed with AML-MR at Taizhou Hospital in Zhejiang Province from September 1, 2022, to December 31, 2023. A total of 44 patients, including 25 males and 19 females, with a median age of 71 (63.5, 75.3) years. Bone marrow and peripheral blood morphology were examined using the Morphogo cell morphology assisted analysis system, with the artificial classification results serving as the gold standard. A confusion matrix was constructed to evaluate the precision, sensitivity, and specificity of the AI system in identifying various cell types in bone marrow and peripheral blood for AML-MR diagnosis. The impact of dysplastic hematopoiesis on AI pre-classification was analyzed by comparing AI and manual classification results.Results:The AI system completed the pre-classification of 44 bone marrow smears and 42 corresponding peripheral blood smears from AML-MR patients. For bone marrow smears, the precision, sensitivity, and specificity of AI in pre-classifying blast cells were 85.78%, 91.01%, and 94.58%, respectively. For peripheral blood smears, these values were 87.11%, 87.05%, and 98.29%, respectively. The precision and sensitivity of AI in pre-classifying promyelocytes were 54.26% and 46.93%, respectively, while for monocytes, they were 58.16% and 68.34%, both lower than those for blast cells. The precision and sensitivity of AI in identifying myelocytes and metamyelocytes also decreased (77.47%, 66.25% and 81.91%, 63.29%, respectively). The precision and sensitivity of AI in pre-classifying erythroblasts/proerythroblasts (67.71%, 69.89%) were lower than those for polychromatic and orthochromatic normoblasts (83.43%, 85.53% and 92.97%, 86.96%, respectively). The confusion matrix and comparative analysis of AI and manual classification indicated that the decline in AI pre-classification precision and sensitivity was due to frequent misclassification between promonocytes and monocytes, as well as between monocytes and promyelocytes. Additionally, this decline is associated with dysplasia. However, the impact of dysplasia on the AI pre-classification of mature-stage granulocytes was minimal.Conclusion:The AI system demonstrated high precision, sensitivity, and specificity in pre-classifying blast cells in bone marrow and peripheral blood smears from AML-MR patients. The AI-assisted morphological analysis system can be effectively utilized for the pre-classification of blood cells in AML-MR patients.
10.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

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