1.PD-1 Inhibitor Combined with Azacitidine and HAG Regimen for the Treatment of Relapsed/Refractory Acute Myeloid Leukemia: A Prospective, Single-Arm, Phase II Clinical Study.
Cheng-Sen CAI ; Ru-Ju WANG ; Xiao-Yan XU ; Cheng-Yuan GU ; Hui-Zhu KANG ; Yue-Jun LIU ; Yue HAN
Journal of Experimental Hematology 2025;33(4):972-979
OBJECTIVE:
To evaluate the efficacy and safety of PD-1 inhibitor combined with azacitidine and HAG regimen in the treatment of relapsed/refractory acute myeloid leukemia (R/R AML).
METHODS:
This study is a prospective, single-arm, phase II clinical trial that included R/R AML patients who met the inclusion criteria and were treated at The First Affiliated Hospital of Soochow University from December 2020 to August 2023. Patients could undergo allogeneic hematopoietic stem cell transplantation (allo-HSCT) after salvage therapy. The efficacy and safety were evaluated.
RESULTS:
Twenty patients were enrolled, including 14 males and 6 females, with an average age of (50.7±15.3) years. The overall response rate (ORR) after one cycle of the treatment was 75.0% (15/20), and 35.0% (7/20) of the patients achieved complete remission (CR) or complete remission with incomplete hematologic recovery (CRi) after two cycles of the treatment. Eight patients received allo-HSCT. The main adverse events were hematologic toxicities, and no grade 5 adverse events occurred.
CONCLUSION
The combination of PD-1 inhibitor, azacitidine, and the HAG regimen is a feasible and relatively safe treatment option for R/R AML, thus, to be worth further study.
Humans
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Leukemia, Myeloid, Acute/drug therapy*
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Azacitidine/administration & dosage*
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Male
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Female
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Middle Aged
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Prospective Studies
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Adult
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Hematopoietic Stem Cell Transplantation
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Antineoplastic Combined Chemotherapy Protocols/therapeutic use*
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Programmed Cell Death 1 Receptor/antagonists & inhibitors*
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Aged
2.Expert consensus on the diagnosis and treatment of cemental tear.
Ye LIANG ; Hongrui LIU ; Chengjia XIE ; Yang YU ; Jinlong SHAO ; Chunxu LV ; Wenyan KANG ; Fuhua YAN ; Yaping PAN ; Faming CHEN ; Yan XU ; Zuomin WANG ; Yao SUN ; Ang LI ; Lili CHEN ; Qingxian LUAN ; Chuanjiang ZHAO ; Zhengguo CAO ; Yi LIU ; Jiang SUN ; Zhongchen SONG ; Lei ZHAO ; Li LIN ; Peihui DING ; Weilian SUN ; Jun WANG ; Jiang LIN ; Guangxun ZHU ; Qi ZHANG ; Lijun LUO ; Jiayin DENG ; Yihuai PAN ; Jin ZHAO ; Aimei SONG ; Hongmei GUO ; Jin ZHANG ; Pingping CUI ; Song GE ; Rui ZHANG ; Xiuyun REN ; Shengbin HUANG ; Xi WEI ; Lihong QIU ; Jing DENG ; Keqing PAN ; Dandan MA ; Hongyu ZHAO ; Dong CHEN ; Liangjun ZHONG ; Gang DING ; Wu CHEN ; Quanchen XU ; Xiaoyu SUN ; Lingqian DU ; Ling LI ; Yijia WANG ; Xiaoyuan LI ; Qiang CHEN ; Hui WANG ; Zheng ZHANG ; Mengmeng LIU ; Chengfei ZHANG ; Xuedong ZHOU ; Shaohua GE
International Journal of Oral Science 2025;17(1):61-61
Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans
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Dental Cementum/injuries*
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Consensus
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Diagnosis, Differential
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Cone-Beam Computed Tomography
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Tooth Fractures/therapy*
3.Role of paeoniflorin in the treatment of diabetes based on network pharmacology and molecular docking
Si-Yao SONG ; Peng LU ; Ding-Xiao WU ; Da KANG ; Yu-Hui HE ; Ying LÜ ; Yan LIN
The Chinese Journal of Clinical Pharmacology 2024;40(15):2261-2264
Objective To explore the potential mechanism of action of paeoniflorin in diabetes mellitus,the related targets and pathways were preliminarily discussed,based on the network pharmacology and molecular docking technology.Methods Analyze the potential targets of paeoniflorin using the Swiss Target Prediction database.Genecards and OMIM databases yielded the genes of diabetes-related illnesses.After taking the intersection of the two,protein-protein interaction network(PPI)was established using STRING and Cytoscape programs to search for key genes with strong correlation and complete gene ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analysis.Use AutoDockTools and Pymol programs to complete protein molecule docking validation.Results The pharmacologically-related study revealed 63 targets associated with paeoniflorin,4 758 genes related to diabetes,and 50 intersection targets.15 key genes including vascular endothelial growth factor A(VEGFA),epidermal growth factor receptor(EGFR),V-Ha-ras harvey(HRAS),V-src sarcoma(SRC)and heat shock protein hs 90-alpha(HSP90AA1)were screened.RAs-associated protein 1,Ras,calcium and other signaling pathways were obtained by KEGG pathway analysis.Molecular docking results showed that paeoniflorin had good binding ability with key genes.Conclusion Paeoniflorin can treat diabetes through multiple targets and pathways,and this mechanism can provide a basis for the application of paeoniflorin in anti diabetes and drug research and development.
4.National bloodstream infection bacterial resistance surveillance report (2022) : Gram-negative bacteria
Zhiying LIU ; Yunbo CHEN ; Jinru JI ; Chaoqun YING ; Qing YANG ; Haishen KONG ; Haifeng MAO ; Hui DING ; Pengpeng TIAN ; Jiangqin SONG ; Yongyun LIU ; Jiliang WANG ; Yan JIN ; Yuanyuan DAI ; Yizheng ZHOU ; Yan GENG ; Fenghong CHEN ; Lu WANG ; Yanyan LI ; Dan LIU ; Peng ZHANG ; Junmin CAO ; Xiaoyan LI ; Dijing SONG ; Xinhua QIANG ; Yanhong LI ; Qiuying ZHANG ; Guolin LIAO ; Ying HUANG ; Baohua ZHANG ; Liang GUO ; Aiyun LI ; Haiquan KANG ; Donghong HUANG ; Sijin MAN ; Zhuo LI ; Youdong YIN ; Kunpeng LIANG ; Haixin DONG ; Donghua LIU ; Hongyun XU ; Yinqiao DONG ; Rong XU ; Lin ZHENG ; Shuyan HU ; Jian LI ; Qiang LIU ; Liang LUAN ; Jilu SHEN ; Lixia ZHANG ; Bo QUAN ; Xiaoping YAN ; Xiaoyan QI ; Dengyan QIAO ; Weiping LIU ; Xiusan XIA ; Ling MENG ; Jinhua LIANG ; Ping SHEN ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2024;17(1):42-57
Objective:To report the results of national surveillance on the distribution and antimicrobial resistance profile of clinical Gram-negative bacteria isolates from bloodstream infections in China in 2022.Methods:The clinical isolates of Gram-negative bacteria from blood cultures in member hospitals of national bloodstream infection Bacterial Resistant Investigation Collaborative System(BRICS)were collected during January 2022 to December 2022. 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 software were used to analyze the data.Results:During the study period,9 035 strains of Gram-negative bacteria were collected from 51 hospitals,of which 7 895(87.4%)were Enterobacteriaceae and 1 140(12.6%)were non-fermenting bacteria. The top 5 bacterial species were Escherichia coli( n=4 510,49.9%), Klebsiella pneumoniae( n=2 340,25.9%), Pseudomonas aeruginosa( n=534,5.9%), Acinetobacter baumannii complex( n=405,4.5%)and Enterobacter cloacae( n=327,3.6%). The ESBLs-producing rates in Escherichia coli, Klebsiella pneumoniae and Proteus spp. were 47.1%(2 095/4 452),21.0%(427/2 033)and 41.1%(58/141),respectively. The prevalence of carbapenem-resistant Escherichia coli(CREC)and carbapenem-resistant Klebsiella pneumoniae(CRKP)were 1.3%(58/4 510)and 13.1%(307/2 340);62.1%(36/58)and 9.8%(30/307)of CREC and CRKP were resistant to ceftazidime/avibactam combination,respectively. The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)complex was 59.5%(241/405),while less than 5% of Acinetobacter baumannii complex was resistant to tigecycline and polymyxin B. The prevalence of carbapenem-resistant Pseudomonas aeruginosa(CRPA)was 18.4%(98/534). There were differences in the composition ratio of Gram-negative bacteria in bloodstream infections and the prevalence of main Gram-negative bacteria resistance among different regions,with statistically significant differences in the prevalence of CRKP and CRPA( χ2=20.489 and 20.252, P<0.001). The prevalence of CREC,CRKP,CRPA,CRAB,ESBLs-producing Escherichia coli and Klebsiella pneumoniae were higher in provinicial hospitals than those in municipal hospitals( χ2=11.953,81.183,10.404,5.915,12.415 and 6.459, P<0.01 or <0.05),while the prevalence of CRPA was higher in economically developed regions(per capita GDP ≥ 92 059 Yuan)than that in economically less-developed regions(per capita GDP <92 059 Yuan)( χ2=6.240, P=0.012). Conclusions:The proportion of Gram-negative bacteria in bloodstream infections shows an increasing trend,and Escherichia coli is ranked in the top,while the trend of CRKP decreases continuously with time. Decreasing trends are noted in ESBLs-producing Escherichia coli and Klebsiella pneumoniae. Low prevalence of carbapenem resistance in Escherichia coli and high prevalence in CRAB complex have been observed. The composition ratio and antibacterial spectrum of bloodstream infections in different regions of China are slightly different,and the proportion of main drug resistant bacteria in provincial hospitals is higher than those in municipal hospitals.
5.Research progress in the effect of SARS-CoV-2 infection on Alzheimer's disease
Kang WANG ; Yan ZHANG ; Hui ZHAO ; Long SHAO ; Ling-Ling FENG ; Tong ZHAO
Chinese Journal of Infection Control 2024;23(11):1450-1455
The global morbidity and mortality of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)infection are gradually decreasing,but the elderly people are still at higher risk of death than the general population,especially for those with Alzheimer's disease(AD).AD is a slowly progressing degenerative disease of the nervous system,and is the most common type of dementia.Its neuropathological features include overproduction and clea-rance imbalance of amyloid β-protein and overphosphorylated tau protein leading to neurofibrillary tangle.People with AD are more susceptible to be infected with SARS-CoV-2,likewise,the virus can also cause AD in those who are infected.After SARS-CoV-2 infection,it affects AD through immune response,inflammatory response,cell aging,DNA damage reaction,autophagy disorder,choroidal homeostasis disorder,over-activation of renin-angio-tensin system,and oxidative stress.This article mainly reviews the research progress in the effect of SARS-CoV-2 infection on AD.
6.Epidemiological characteristics and spatial clustering of severe fever with thrombocytopenia syndrome in Nanjing from 2010 to 2023
Tao MA ; Cong CHEN ; Song-Ning DING ; Qing XU ; Jun-Jun WANG ; Heng-Xue WANG ; Zi-Kang YAN ; Meng-Yuan TIAN ; Yuan-Zhao ZHU ; Hui-Hui LIU
Chinese Journal of Zoonoses 2024;40(9):841-847
This study was aimed at understanding the trends in,and scope of,severe fever with thrombocytopenia syndrome(SFTS)in Nanjing,analyzing the spatial distribution pattern,detecting high incidence cluster areas and key popula-tions,and scientifically guiding prevention and control strategies and measures.We obtained data on SFTS cases from 2010 to 2023 in Nanjing from the China Disease Control and Prevention Information System,and described the time,popu-lation,and spatial distribution characteristics.We used joinpoint regression to calculate the annual percentage change(APC)in incidence,then used FleXScan spatial clustering scan analysis to explore spatial clustering areas at the street level.A total of 507 SFTS cases were reported from 2010 to 2023 in Nanjing.The APC was 31.8%(95%CI:22.5%-41.9%,P<0.001),and the reported incidence in 2023 was 1.42/100 000(134 cases).The seasonal indices from May to August were 2.7,2.1,3.0,and 1.3,respectively,accounting for 76.1%of the total cases.The median age was 66(IQR:55,73)years,which gradually increased from 59 years in 2010-2011 to 68 in 2022-2023(P<0.001);94.1%of cases were in individuals 45 years or older.Farmers,homemakers/unemployed individuals,and retirees accounted for 90.1%.The epidemic area increased from 11 streets in four districts in 2010-2011 to 58 streets in 11 dis-tricts in 2022-2023.Except for 2012-2013,global spatial autocorrelation analysis showed positive Moran's I values(0.224-0.526,P<0.001),and FlexScan scan indicated that several streets in Lishui District and Jiangning District were the most likely clusters.Four streets in Pukou District were the secondary clusters from 2018 to 2023,and three streets in Luhe District in 2022-2023 were the secondary clusters(all P<0.05).The reported incidence of SFTS in Nanjing showed a rapid upward trend,with spread of epidemic areas.The spatial distribution pattern was clustered.Strengthened training in diagnosis and treatment technology and detection ability of medical institutions,surveillance in high-incidence areas,tracing of case flow,and health education of tick and disease prevention knowledge are recommended.
7.Multicenter evaluation of the diagnostic efficacy of jaundice color card for neonatal hyperbilirubinemia
Guochang XUE ; Huali ZHANG ; Xuexing DING ; Fu XIONG ; Yanhong LIU ; Hui PENG ; Changlin WANG ; Yi ZHAO ; Huili YAN ; Mingxing REN ; Chaoying MA ; Hanming LU ; Yanli LI ; Ruifeng MENG ; Lingjun XIE ; Na CHEN ; Xiufang CHENG ; Jiaojiao WANG ; Xiaohong XIN ; Ruifen WANG ; Qi JIANG ; Yong ZHANG ; Guijuan LIANG ; Yuanzheng LI ; Jianing KANG ; Huimin ZHANG ; Yinying ZHANG ; Yuan YUAN ; Yawen LI ; Yinglin SU ; Junping LIU ; Shengjie DUAN ; Qingsheng LIU ; Jing WEI
Chinese Journal of Pediatrics 2024;62(6):535-541
Objective:To evaluate the diagnostic efficacy and practicality of the Jaundice color card (JCard) as a screening tool for neonatal jaundice.Methods:Following the standards for reporting of diagnostic accuracy studies (STARD) statement, a multicenter prospective study was conducted in 9 hospitals in China from October 2019 to September 2021. A total of 845 newborns who were admitted to the hospital or outpatient department for liver function testing due to their own diseases. The inclusion criteria were a gestational age of ≥35 weeks, a birth weight of ≥2 000 g, and an age of ≤28 days. The neonate′s parents used the JCard to measure jaundice at the neonate′s cheek. Within 2 hours of the JCard measurement, transcutaneous bilirubin (TcB) was measured with a JH20-1B device and total serum bilirubin (TSB) was detected. The Pearson′s correlation analysis, Bland-Altman plots and the receiver operating characteristic (ROC) curve were used for statistic analysis.Results:Out of the 854 newborns, 445 were male and 409 were female; 46 were born at 35-36 weeks of gestational age and 808 were born at ≥37 weeks of gestational age. Additionally, 432 cases were aged 0-3 days, 236 cases were aged 4-7 days, and 186 cases were aged 8-28 days. The TSB level was (227.4±89.6) μmol/L, with a range of 23.7-717.0 μmol/L. The JCard level was (221.4±77.0) μmol/L and the TcB level was (252.5±76.0) μmol/L. Both the JCard and TcB values showed good correlation ( r=0.77 and 0.80, respectively) and agreements (96.0% (820/854) and 95.2% (813/854) of samples fell within the 95% limits of agreement, respectively) with TSB. The JCard value of 12 had a sensitivity of 0.93 and specificity of 0.75 for identifying a TSB ≥205.2?μmol/L, and a sensitivity of 1.00 and specificity of 0.35 for identifying a TSB ≥342.0?μmol/L. The TcB value of 205.2?μmol/L had a sensitivity of 0.97 and specificity of 0.60 for identifying TSB levels of 205.2 μmol/L, and a sensitivity of 1.00 and specificity of 0.26 for identifying TSB levels of 342.0 μmol/L. The areas under the ROC curve (AUC) of JCard for identifying TSB levels of 153.9, 205.2, 256.5, and 342.0 μmol/L were 0.96, 0.92, 0.83, and 0.83, respectively. The AUC of TcB were 0.94, 0.91, 0.86, and 0.87, respectively. There were both no significant differences between the AUC of JCard and TcB in identifying TSB levels of 153.9 and 205.2 μmol/L (both P>0.05). However, the AUC of JCard were both lower than those of TcB in identifying TSB levels of 256.5 and 342.0 μmol/L (both P<0.05). Conclusions:JCard can be used to classify different levels of bilirubin, but its diagnostic efficacy decreases with increasing bilirubin levels. When TSB level are ≤205.2 μmol/L, its diagnostic efficacy is equivalent to that of the JH20-1B. To prevent the misdiagnosis of severe jaundice, it is recommended that parents use a low JCard score, such as 12, to identify severe hyperbilirubinemia (TSB ≥342.0 μmol/L).
8.Comparison of surgical effect of various circulatory pathways on replantation of severed distal segment of digits
Lei REN ; Kezhi HU ; Bo LYU ; Zezheng YAN ; Yanbing KANG ; Shichao ZHANG ; Zhonglai XIE ; Ming TANG ; Hui CHEN
Chinese Journal of Microsurgery 2024;47(4):430-437
Objective:To investigate the surgical effect of various circulatory pathways on replantation of severed distal segments of digits.Methods:From June 2017 to June 2023, a total of 137 patients (162 digits) who received digit replantation surgery in the Department of Trauma Orthopaedics and Microsurgery of Guilin People's Hospital were retrospectively studied. The patients were 82 males (97 digits) and 55 females (65 digits) aged 11.0 months to 51.0 years old, with 31.7 years old in average. The injured digits were 36 thumbs, 43 index fingers, 32 middle fingers, 28 ring fingers and 23 little fingers. Causes of injury: 55 digits were of electric saw, 68 of sharp object cut, 26 of twisting crush and 13 of degloving injury. According to the circulatory pathways, 66 patients (88 digits) were assigned to a physiological replantation group (PRG), 50 patients (53 digits) to an arterio-venolisation group (AVG) and 21 patients (21 digits) to a nail bed bloodletting group (NBG). Functional recovery was evaluated according to the Evaluation Standard of Severed Finger Functional of Hand Surgery of Chinese Medical Association. Analysis of variance or chi-square test was employed to analyse the age, gender, time from injury to surgery, surgery time, incidence of vascular compromise of the replanted digit, survival rate, score of functional recovery of the affected digit at 6 months after surgery, and incidence of postoperative complications in each group. P<0.05 was considered statistically significant. Results:All patients were included in the 6-10 months of postoperative follow-up, with an average of 7.2 months. Regarding the score of functional recovery of affected digit according to the Evaluation Standard of Severed Finger Functional of Hand Surgery of Chinese Medical Association, PRG (86.3 points±7.9 points) was higher than that of NBG (78.3 points±11.2 points) and AVG (70.7 points±8.6 points), with statistically significant differences ( P<0.05 for both). In terms of the incidence of vascular compromise, PRG (3 digits for 3.4%) was lower than that of NBG (1 digit for 4.8%) and AVG (6 digits for 11.3%), with statistically significant differences ( P<0.05 for both). Of the survival rate, PRG (81 digits for 92.0%) was superior to that of NBG (18 digits for 85.7%) and AVG (42 digits 79.2%), with statistically significant differences ( P<0.05 for both). While of the incidence of postoperative complications, PRG (12.6%) was lower than that of AVG (17.1%) and NBG (21.2%), with statistically significant differences ( P<0.05 for both). Conclusion:For a severed distal segment of digit, the physiological replantation is preferred. For the digit with undetectable return veins, effective replantation can be achieved by the arterio-venolisation or nail bed exsanguination.
9.Distribution and resistance surveillance of common pathogens of nosocomial infections in 10 teaching hospitals in China from 2020 to 2021
Shuguang LI ; Binghuai LU ; Yunzhuo CHU ; Rong ZHANG ; Ji ZENG ; Danhong SU ; Chao ZHUO ; Yan JIN ; Xiuli XU ; Kang LIAO ; Zhidong HU ; Hui WANG
Chinese Journal of Laboratory Medicine 2024;47(6):619-628
Objective:To investigate the spectrum and antimicrobial resistance of major pathogens causing nosocomial infections in China during 2020-2021.Methods:A total of 1 311 non-duplicated nosocomial pathogens causing bloodstream infections (BSI, n=670), hospital-acquired pneumonia (HAP, n=394) and intra-abdominal infections (IAI, n=297) were collected from 10 teaching hospitals across China. The minimum inhibitory concentrations (MICs) of clinical common strains were determined using agar dilution or broth microdilution method. Interpretation of reults followed the CLSI M100-Ed33 criteria, with data analysis conducted using WHONET-5.6 software. The Chi-square test was used to compare rates. Results:The most prevalent pathogens causing BSI were Escherichia coli (21.2%, 142/670), Klebsiella pneumoniae (14.9%, 100/670) and Staphylococcus aureus (11.5%, 77/670); the most prevalent pathogens causing HAP were K. pneumoniae (27.7%, 109/394), Acinetobacter baumanii (22.1%, 87/394) and Pseudomonas aeruginosa (18.3%, 72/394). IN IAI, E. coli (24.3%, 60/247), Enterococcus faecium and K. pneumoniae (both 14.6%, 36/247) were dominated. All S. aureus strains were susceptible to tigecycline, linezolid, daptomycin and glycopeptides. Rates of methicillin-resistant S. aureus (MRSA) and coagulase-negative Staphylococcus (MRCNS) were 36.5% (42/115) and 74.5% (38/51), respectively. The rate of vancomycin-resistant E. faecium and E. faecalis was 3.3% (3/90) and 1.9% (1/53), respectively. The prevalence of extended-spectrum β-lactamase (ESBL) was 23.7% (58/245) in K. pneumonia and 60.5% (130/215) in E. coli.The rate of carbapenem-resistant K. pneumonia and E. coli was 29.8% (73/245) and 4.2% (9/215), respectively; the percentage of tigecycline-resistant K. pneumonia and E. coli was 1.6% (4/245) and 0, respectively; the rate of colistin-resistant K. pneumonia and E. coli was 1.6% (4/245) and 2.8% (6/215), respectively; the percentage of ceftazidime/avibactam-resistant K. pneumonia and E. coli was 2.0% (5/245) and 2.3% (5/215), respectively. The rate of carbapenem-resistant A. baumanii and P. aeruginosa was 76.7% (125/163) and 28.4% (33/116), respectively. A. baumanii showed low susceptibility to most antimicrobial agents except colistin (98.8%, 161/163) and tigecycline (89.6%, 146/163). Colistin, amikacin and ceftazidime/avibactam demonstrated high antibacterial activity against P. aeruginosa with susceptility rates of 99.1% (115/116), 94.0% (109/116) and 83.6% (97/116), respectively. Conclusions:The major pathogens of nosocomial infections were K. pneumonia, E. coli, A. baumanii, P. aeruginosa and S. aureus. Nosocomial Gram-negative pathogens exhibited high susceptibilities to tigecycline, colistin and ceftazidime/avibactam. Antimicrobial resistance in A. baumannii remains a significant challenge. The increasing prevalence of carbapenem-resistant Enterobacterales underscores the urgency of antibiotics rational applications and hospital infection controls.
10.National bloodstream infection bacterial resistance surveillance report(2022): Gram-positive bacteria
Chaoqun YING ; Yunbo CHEN ; Jinru JI ; Zhiying LIU ; Qing YANG ; Haishen KONG ; Haifeng MAO ; Hui DING ; Pengpeng TIAN ; Jiangqin SONG ; Yongyun LIU ; Jiliang WANG ; Yan JIN ; Yuanyuan DAI ; Yizheng ZHOU ; Yan GENG ; Fenghong CHEN ; Lu WANG ; Yanyan LI ; Dan LIU ; Peng ZHANG ; Junmin CAO ; Xiaoyan LI ; Dijing SONG ; Xinhua QIANG ; Yanhong LI ; Qiuying ZHANG ; Guolin LIAO ; Ying HUANG ; Baohua ZHANG ; Liang GUO ; Aiyun LI ; Haiquan KANG ; Donghong HUANG ; Sijin MAN ; Zhuo LI ; Youdong YIN ; Kunpeng LIANG ; Haixin DONG ; Donghua LIU ; Hongyun XU ; Yinqiao DONG ; Rong XU ; Lin ZHENG ; Shuyan HU ; Jian LI ; Qiang LIU ; Liang LUAN ; Jilu SHEN ; Lixia ZHANG ; Bo QUAN ; Xiaoping YAN ; Xiaoyan QI ; Dengyan QIAO ; Weiping LIU ; Xiusan XIA ; Ling MENG ; Jinhua LIANG ; Ping SHEN ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2024;17(2):99-112
Objective:To report the results of national surveillance on the distribution and antimicrobial resistance profile of clinical Gram-positive bacteria isolates from bloodstream infections in China in 2022.Methods:The clinical isolates of Gram-positive bacteria from blood cultures in member hospitals of National Bloodstream Infection Bacterial Resistant Investigation Collaborative System(BRICS)were collected during January 2022 to December 2022. 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 software were used to analyze the data.Results:A total of 3 163 strains of Gram-positive pathogens were collected from 51 member units,and the top five bacteria were Staphylococcus aureus( n=1 147,36.3%),coagulase-negative Staphylococci( n=928,29.3%), Enterococcus faecalis( n=369,11.7%), Enterococcus faecium( n=296,9.4%)and alpha-hemolyticus Streptococci( n=192,6.1%). The detection rates of methicillin-resistant Staphylococcus aureus(MRSA)and methicillin-resistant coagulase-negative Staphylococci(MRCNS)were 26.4%(303/1 147)and 66.7%(619/928),respectively. No glycopeptide and daptomycin-resistant Staphylococci were detected. The sensitivity rates of Staphylococcus aureus to cefpirome,rifampin,compound sulfamethoxazole,linezolid,minocycline and tigecycline were all >95.0%. Enterococcus faecium was more prevalent than Enterococcus faecalis. The resistance rates of Enterococcus faecium to vancomycin and teicoplanin were both 0.5%(2/369),and no vancomycin-resistant Enterococcus faecium was detected. The detection rate of MRSA in southern China was significantly lower than that in other regions( χ2=14.578, P=0.002),while the detection rate of MRCNS in northern China was significantly higher than that in other regions( χ2=15.195, P=0.002). The detection rates of MRSA and MRCNS in provincial hospitals were higher than those in municipal hospitals( χ2=13.519 and 12.136, P<0.001). The detection rates of MRSA and MRCNS in economically more advanced regions(per capita GDP≥92 059 Yuan in 2022)were higher than those in economically less advanced regions(per capita GDP<92 059 Yuan)( χ2=9.969 and 7.606, P=0.002和0.006). Conclusions:Among the Gram-positive pathogens causing bloodstream infections in China, Staphylococci is the most common while the MRSA incidence decreases continuously with time;the detection rate of Enterococcus faecium exceeds that of Enterococcus faecalis. The overall prevalence of vancomycin-resistant Enterococci is still at a low level. The composition ratio of Gram-positive pathogens and resistant profiles varies slightly across regions of China,with the prevalence of MRSA and MRCNS being more pronounced in provincial hospitals and areas with a per capita GDP≥92 059 yuan.

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