1.Expression of lymphocyte subsets in the bone marrow of patients with acute myeloid leukemia and its influence on prognosis
Jinhong NIE ; Jiebing XIAO ; Yingchun SHAO ; Chenghui LI ; Lu GAO ; Xiao MA ; Xiaojin WU ; Ziling ZHU
Chinese Journal of Blood Transfusion 2025;38(7):902-908
Objective: To explore the correlation between the composition of bone marrow lymphocyte subsets and the clinical attributes observed in de novo AML patients, as well as their influence on prognosis. Methods: A detailed study was carried out on a cohort of 191 de novo acute myeloid leukemia patients who were admitted to our medical center between October 2022 and September 2024. In addition, a group of 24 patients with iron deficiency anemia individuals was carefully chosen as the control cohort. The proportions of lymphocyte subsets within the bone marrow of de novo AML patients were analyzed. Furthermore, an in-depth analysis was performed to investigate the association between the expression levels of these subsets in de novo AML patients and their clinical attributes, as well as their prognostic implications. Results: The proportion of CD19
and CD56
lymphocytes within the bone marrow of de novo AML patients significantly diminished compared to the control cohort (8.5% vs 13.2% P<0.05, and 15.5% vs 18.0%, P<0.05). Conversely, no significant discrepancies were observed in the CD3
, CD3
CD4
, and CD3
CD8
lymphocyte percentages between the AML patients and control group (71.7% vs 72.1%, 32.5% vs 33.7% and 32.8% vs 35.7%, P>0.05). When analyzing the relationships between lymphocyte subsets within the bone marrow of de novo patients and their respective clinical characteristics, patients aged 60 years and above exhibited diminished percentages of CD3
CD8
lymphocytes in the bone marrow compared to their younger counterparts (31.6% vs 34.1%, P<0.05), while the CD56
lymphocyte subsets demonstrated an increased prevalence (17.2% vs 14.4%, P<0.05). Furthermore, patients with leukocytosis (WBC≥100×10
/L) presented lower levels of CD3
and CD3
CD4
lymphocytes in the bone marrow compared with those without it (65.3% vs 72.9% P<0.05, and 28.9% vs 33.2%, P<0.05), respectively. The AML1-ETO fusion gene-positive cohort exhibited a higher prevalence of CD3
CD8
lymphocytes in the bone marrow than in the negative group (38.2% vs 32.3%, P<0.05), whereas the FLT3-ITD mutation-positive group presented a decreased prevalence of CD56
lymphocytes compared with the negative group (12.4% vs 16.8%, P<0.05). In addition, the NPM1 mutation-positive group demonstrated lower levels of CD3
CD8
lymphocytes in the bone marrow than in the negative group (29.1% vs 33.3%, P<0.05). Variables such as tumor protein p53(TP53) mutation positive, the absence of hematopoietic stem cell transplantation, and CD3
CD4
lymphocyte proportions below 25% were identified as independent adverse prognostic indicators for AML patients (P<0.05). Conclusion: The pathogenesis of AML is closely associated with an imbalance in bone marrow lymphocyte subsets. The FLT3-ITD mutation potentially contributes to the dysregulation of CD56
lymphocyte subset expression. The AML1-ETO fusion gene and NPM1 mutation are implicated in the abnormal expression of CD3
CD8
lymphocytes within the bone marrow. Moreover, the percentage of CD3
CD4
lymphocytes in the bone marrow serves as a prognostic factor for de novo AML patients.
2.Expression of lymphocyte subsets in the bone marrow of patients with acute myeloid leukemia and its influence on prognosis
Jinhong NIE ; Jiebing XIAO ; Yingchun SHAO ; Chenghui LI ; Lu GAO ; Xiao MA ; Xiaojin WU ; Ziling ZHU
Chinese Journal of Blood Transfusion 2025;38(7):902-908
Objective: To explore the correlation between the composition of bone marrow lymphocyte subsets and the clinical attributes observed in de novo AML patients, as well as their influence on prognosis. Methods: A detailed study was carried out on a cohort of 191 de novo acute myeloid leukemia patients who were admitted to our medical center between October 2022 and September 2024. In addition, a group of 24 patients with iron deficiency anemia individuals was carefully chosen as the control cohort. The proportions of lymphocyte subsets within the bone marrow of de novo AML patients were analyzed. Furthermore, an in-depth analysis was performed to investigate the association between the expression levels of these subsets in de novo AML patients and their clinical attributes, as well as their prognostic implications. Results: The proportion of CD19
and CD56
lymphocytes within the bone marrow of de novo AML patients significantly diminished compared to the control cohort (8.5% vs 13.2% P<0.05, and 15.5% vs 18.0%, P<0.05). Conversely, no significant discrepancies were observed in the CD3
, CD3
CD4
, and CD3
CD8
lymphocyte percentages between the AML patients and control group (71.7% vs 72.1%, 32.5% vs 33.7% and 32.8% vs 35.7%, P>0.05). When analyzing the relationships between lymphocyte subsets within the bone marrow of de novo patients and their respective clinical characteristics, patients aged 60 years and above exhibited diminished percentages of CD3
CD8
lymphocytes in the bone marrow compared to their younger counterparts (31.6% vs 34.1%, P<0.05), while the CD56
lymphocyte subsets demonstrated an increased prevalence (17.2% vs 14.4%, P<0.05). Furthermore, patients with leukocytosis (WBC≥100×10
/L) presented lower levels of CD3
and CD3
CD4
lymphocytes in the bone marrow compared with those without it (65.3% vs 72.9% P<0.05, and 28.9% vs 33.2%, P<0.05), respectively. The AML1-ETO fusion gene-positive cohort exhibited a higher prevalence of CD3
CD8
lymphocytes in the bone marrow than in the negative group (38.2% vs 32.3%, P<0.05), whereas the FLT3-ITD mutation-positive group presented a decreased prevalence of CD56
lymphocytes compared with the negative group (12.4% vs 16.8%, P<0.05). In addition, the NPM1 mutation-positive group demonstrated lower levels of CD3
CD8
lymphocytes in the bone marrow than in the negative group (29.1% vs 33.3%, P<0.05). Variables such as tumor protein p53(TP53) mutation positive, the absence of hematopoietic stem cell transplantation, and CD3
CD4
lymphocyte proportions below 25% were identified as independent adverse prognostic indicators for AML patients (P<0.05). Conclusion: The pathogenesis of AML is closely associated with an imbalance in bone marrow lymphocyte subsets. The FLT3-ITD mutation potentially contributes to the dysregulation of CD56
lymphocyte subset expression. The AML1-ETO fusion gene and NPM1 mutation are implicated in the abnormal expression of CD3
CD8
lymphocytes within the bone marrow. Moreover, the percentage of CD3
CD4
lymphocytes in the bone marrow serves as a prognostic factor for de novo AML patients.
3.Identification of 4 rare Jr(a-) blood groups with anti-Jr antibody and follow-up analysis of newborns in subsequent delivery
Yuli ZHU ; Yingchun WANG ; Hongxiao ZHONG ; Zhihui FENG
Chinese Journal of Blood Transfusion 2025;38(9):1248-1252
Objective: To perform serological identification and molecular analysis of four samples with antibodies against high-frequency antigens, and to track the condition of newborns after delivery. Methods: Blood group serological tests were conducted using tube method, and unexpected antibody screening and identification were performed using polybrene and human globulin card. Gene haplotype analysis of blood group system was performed using PacBio third-generation sequencing. The DNA mutations were confirmed through Sanger sequencing. Results: Four samples showed normal blood types in common blood type systems. However, they were positive in all unexpected antibody screening and identification, with negative direct antiglobulin tests results. Third-generation sequencing revealed 3 cases of c.376C>T homozygous mutation and 1 case of c.421C>A homozygous mutation in the ABCG2 gene. Three pregnant women gave birth to four children, all of whom developed hyperbilirubinemia, accompanied by decreased red blood cell count and normal or low hemoglobin concentration. Conclusion: Four samples were obtained from individuals with the rare Jr(a-) blood group. Immunization during pregnancy led to the production of anti-Jr
antibody, which may contribute to hyperbilirubinemia in newborns.
4.Blood management strategy for massive transfusion patients in frigid plateau region
Haiying WANG ; Jinjin ZHANG ; Lili CHEN ; Xiaoli SUN ; Cui WEI ; Yongli HUANG ; Yingchun ZHU ; Chong CHEN ; Yanchao XING
Chinese Journal of Blood Transfusion 2025;38(2):268-273
[Objective] To explore the strategy of blood management in patients with massive transfusion in the frigid plateau region. [Methods] The treatment process of a patient with liver rupture in the frigid plateau region was analyzed, and the blood management strategy of the frigid plateau region was discussed in combination with the difficulties of blood transfusion and literature review. [Results] The preoperative complete blood count (CBC) test results of the patient were as follows: RBC 3.14×1012/L, Hb 106 g/L, HCT 30.40%, PLT 115.00×109/L; coagulation function: PT 18.9 s, FiB 1.31 g/L, DD > 6 μg/mL, FDP 25.86 μg/mL; ultrasound examination and imaging manifestations suggested liver contusion and laceration / intraparenchymal hematoma, splenic contusion and laceration, and massive blood accumulation in the abdominal cavity; it was estimated that the patient's blood loss was ≥ 2 000 mL, and massive blood transfusion was required during the operation; red blood cell components were timely transfused during the operation, and the blood component transfusion was guided according to the patient's CBC and coagulation function test results, providing strong support and guarantee for the successful treatment of the patient. The patient recovered well after the operation, and the CBC test results were as follows: RBC 4.32×1012/L, Hb 144 g/L, HCT 39.50%, PLT 329.00×109/L; coagulation function: APTT 29.3 s, PT 12.1 s, FiB 2.728 g/L, DD>6 μg/mL, FDP 25.86 μg/mL. The patient was discharged after 20 days, and regular follow-up reexamination showed no abnormal results. [Conclusion] Individualized blood management strategy should comprehensively consider the patient’s clinical symptoms, the degree of hemoglobin decline, dynamic coagulation test results and existing treatment conditions. Efficient and reasonable patient blood management strategies can effectively improve the clinical outcomes of massive transfusion patients in the frigid plateau region.
5.Best evidence audit and analysis to the medication management for patients with dysphagia
Yi LIU ; Liqun ZHU ; Ruo ZHUANG ; Yiyi NI ; Songmei CAO ; Sheng SUI ; Yingchun HUAN ; Hongfeng XIE
Chinese Journal of Practical Nursing 2024;40(5):357-364
Objective:To review the clinical status based on the best evidence of drug administration in patients with dysphagia, systematically analyze the obstacle factors and promoting factors in the process of evidence transformation, and formulate reform strategies.Methods:Based on the evidence-based nursing research method and the guidance of the Ottawa Model of Research Use (OMRU), the review indicators were developed based on the best evidence. The current status of clinical practice behaviors of 223 patients and 75 nurses in the Neurology, Neurosurgery and Geriatric departments of the Affiliated Hospital of Jiangsu University were reviewed from July to December 2021.Based on the results of the review, qualitative interviews were conducted with 32 potential adopters, and content analysis was used to assess the barriers and contributing factors to the clinical translation of evidence in three aspects: evidence-based change, potential adopters and practice environment, so as to develop effective strategies.Results:Based on the 22 best evidence selected, the evidence-based team developed 25 review indicators to carry out clinical review, showing that the compliance rate of 16 indicators were less than 60%. By analyzing and summarizing the interview results of potential adopters, the main obstacles leading to the low compliance rate of nurses were analyzed as follows: evidence-based reform changed the traditional work mode, and the application of evidence was not convenient; at the level of potential adopters, nurses had poor knowledge and practice, heavy work burden, and low awareness of patients and caregivers; at the level of practice environment, there was lack of nursing norms and procedures for clinical transformation of evidence, and the channels of multi-disciplinary collaboration and communication were not smooth. The main promoting factors were the perfect supervision mechanism of evidence-based nursing projects, the evidence-based group had rich experience in evidence transformation, the management was willing to change, and the practitioners were good at innovation.Conclusions:There is still a large gap between the clinical practice and the best evidence of drug administration in patients with dysphagia. The promoting factors should be fully utilized to overcome the obstacles and implement improvements to promote the effective transformation of evidence into clinical practice.
6.Application of transcranial sonography in the assessment of substantia nigra echo in children with attention deficit hyperactivity disorder
Bing MA ; Yaohong SHEN ; Yan CHEN ; Junyi ZHU ; Caishan WANG ; Yingchun ZHANG
Chinese Journal of Ultrasonography 2024;33(1):42-48
Objective:To determine the clinical application value of transcranial sonography (TCS) in the diagnosis of attention deficit hyperactivity disorder (ADHD) in children.Methods:A total of 50 children aged 6-12 years diagnosed with ADHD (ADHD group) and 45 age-matched healthy children (control group) who presented to Suzhou Municipal Hospital and Children′s Hospital of Soochow University from August 2021 to August 2022 were prospectively enrolled for TCS examination. ADHD was diagnosed in accordance with the Diagnostic and Statistical Manual of Mental Disorders, fifth edition (DSM-Ⅴ) criteria established by the American Psychiatric Association.Based on clinical symptom characteristics, ADHD was further classified into 3 subtypes, including 14 cases of predominantly inattentive, 3 cases of predominantly hyperactive/impulsive, and 33 cases of combined presentation. The substantia nigra(SN) hyperechoic area and the ratio of SN hyperechoic area to midbrain area (S/M) were measured and compared between the two groups. The examination of the correlation was performed between SN hyperechoic area, S/M ratio, and DSM-Ⅴ scores within the ADHD group.Results:Semi-quantitative analysis: the proportion of the SN grade Ⅲ or more in ADHD group was significantly higher than that in control group [96.00%(48/50) vs 13.3%(6/45), P<0.05]. Quantitative analysis: the area of SN hyperechogenicity and the ratio of S/M were significantly larger in ADHD group than in control group [0.32(0.22, 0.38)cm 2 vs 0.00(0.00, 0.00)cm 2, 7.08(5.11, 8.75)% vs 0.00(0.00, 0.00)%, all P<0.05]. Correlation analysis: The SN hyperechoic area and S/M ratio showed no significant correlations with DSM-Ⅴ scores in the ADHD group ( r=0.144, 0.142, all P>0.05). Conclusions:TCS can detect the SN echo enhancement of ADHD children, and the proportion of SN echo enhancement, SN hyperechoic area and S/M ratio are significantly higher than those of normal children, but the SN hyperecho area and S/M ratio are not significantly correlated with DSM-Ⅴ scores.
7.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.
8.Changing distribution and resistance profiles of common pathogens isolated from urine in the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Yanming LI ; Mingxiang ZOU ; Wen'en LIU ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; 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 ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2024;24(3):287-299
Objective To investigate the distribution and antimicrobial resistance profiles of the common pathogens isolated from urine from 2015 to 2021 in the CHINET Antimicrobial Resistance Surveillance Program.Methods The bacterial strains were isolated from urine and identified routinely in 51 hospitals across China in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Antimicrobial susceptibility was determined by Kirby-Bauer method,automatic microbiological analysis system and E-test according to the unified protocol.Results A total of 261 893 nonduplicate strains were isolated from urine specimen from 2015 to 2021,of which gram-positive bacteria accounted for 23.8%(62 219/261 893),and gram-negative bacteria 76.2%(199 674/261 893).The most common species were E.coli(46.7%),E.faecium(10.4%),K.pneumoniae(9.8%),E.faecalis(8.7%),P.mirabilis(3.5%),P.aeruginosa(3.4%),SS.agalactiae(2.6%),and E.cloacae(2.1%).The strains were more frequently isolated from inpatients versus outpatients and emergency patients,from females versus males,and from adults versus children.The prevalence of ESBLs-producing strains in E.coli,K.pneumoniae and P.mirabilis was 53.2%,52.8%and 37.0%,respectively.The prevalence of carbapenem-resistant strains in E.coli,K.pneumoniae,P.aeruginosa and A.baumannii was 1.7%,18.5%,16.4%,and 40.3%,respectively.Lower than 10%of the E.faecalis isolates were resistant to ampicillin,nitrofurantoin,linezolid,vancomycin,teicoplanin and fosfomycin.More than 90%of the E.faecium isolates were ressitant to ampicillin,levofloxacin and erythromycin.The percentage of strains resistant to vancomycin,linezolid or teicoplanin was<2%.The E.coli,K.pneumoniae,P.aeruginosa and A.baumannii strains isolated from ICU inpatients showed significantly higher resistance rates than the corresponding strains isolated from outpatients and non-ICU inpatients.Conclusions E.coli,Enterococcus and K.pneumoniae are the most common pathogens in urinary tract infection.The bacterial species and antimicrobial resistance of urinary isolates vary with different populations.More attention should be paid to antimicrobial resistance surveillance and reduce the irrational use of antimicrobial agents.
9.Changing resistance profiles of Enterococcus in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Na CHEN ; Ping JI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; 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 ; Chao YAN ; 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 ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WEN ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2024;24(3):300-308
Objective To understand the distribution and changing resistance profiles of clinical isolates of Enterococcus in hospitals across China from 2015 to 2021.Methods Antimicrobial susceptibility testing was conducted for the clinical isolates of Enterococcus according to the unified protocol of CHINET program by automated systems,Kirby-Bauer method,or E-test strip.The results were interpreted according to the Clinical & Laboratory Standards Institute(CLSI)breakpoints in 2021.WHONET 5.6 software was used for statistical analysis.Results A total of 124 565 strains of Enterococcus were isolated during the 7-year period,mainly including Enterococcus faecalis(50.7%)and Enterococcus faecalis(41.5%).The strains were mainly isolated from urinary tract specimens(46.9%±2.6%),and primarily from the patients in the department of internal medicine,surgery and ICU.E.faecium and E.faecalis strains showed low level resistance rate to vancomycin,teicoplanin and linezolid(≤3.6%).The prevalence of vancomycin-resistant E.faecalis and E.faecium was 0.1%and 1.3%,respectively.The prevalence of linezolid-resistant E.faecalis increased from 0.7%in 2015 to 3.4%in 2021,while the prevalence of linezolid-resistant E.faecium was 0.3%.Conclusions The clinical isolates of Enterococcus were still highly susceptible to vancomycin,teicoplanin,and linezolid,evidenced by a low resistance rate.However,the prevalence of linezolid-resistant E.faecalis was increasing during the 7-year period.It is necessary to strengthen antimicrobial resistance surveillance to effectively identify the emergence of antibiotic-resistant bacteria and curb the spread of resistant pathogens.
10.Changing resistance profiles of Enterobacter isolates in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Shaozhen YAN ; Ziyong SUN ; Zhongju CHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yi XIE ; Mei KANG ; Fengbo ZHANG ; Ping JI ; Zhidong HU ; Jin LI ; Sufang GUO ; Han SHEN ; Wanqing ZHOU ; Yingchun XU ; Xiaojiang ZHANG ; Xuesong XU ; Chao YAN ; Chuanqing WANG ; Pan FU ; Wei JIA ; Gang LI ; Yuanhong XU ; Ying HUANG ; Dawen GUO ; Jinying ZHAO ; Wen'en LIU ; Yanming LI ; Hua YU ; Xiangning HUANG ; Bin SHAN ; Yan DU ; Shanmei WANG ; Yafei CHU ; Yuxing NI ; Jingyong SUN ; Yunsong YU ; Jie LIN ; Chao ZHUO ; Danhong SU ; Lianhua WEI ; Fengmei ZOU ; Yan JIN ; Chunhong SHAO ; Jihong LI ; Lixia ZHANG ; Juan MA ; Yunzhuo CHU ; Sufei TIAN ; Jinju DUAN ; Jianbang KANG ; Ruizhong WANG ; Hua FANG ; Fangfang HU ; Yunjian HU ; Xiaoman AI ; Fang DONG ; Zhiyong LÜ ; Hong ZHANG ; Chun WANG ; Yong ZHAO ; Ping GONG ; Lei ZHU ; Jinhua MENG ; Xiaobo MA ; Yanping ZHENG ; Jinsong WU ; Yuemei LU ; Ruyi GUO ; Yan ZHU ; Kaizhen WEN ; Yirong ZHANG ; Chunlei YUE ; Jiangshan LIU ; Wenhui HUANG ; Shunhong XUE ; Xuefei HU ; Hongqin GU ; Jiao FENG ; Shuping ZHOU ; Yan ZHOU ; Yunsheng CHEN ; Qing MENG ; Bixia YU ; Jilu SHEN ; Rui DOU ; Shifu WANG ; Wen HE ; Longfeng LIAO ; Lin JIANG
Chinese Journal of Infection and Chemotherapy 2024;24(3):309-317
Objective To examine the changing antimicrobial resistance profile of Enterobacter spp.isolates in 53 hospitals across China from 2015 t0 2021.Methods The clinical isolates of Enterobacter spp.were collected from 53 hospitals across China during 2015-2021 and tested for antimicrobial susceptibility using Kirby-Bauer method or automated testing systems according to the CHINET unified protocol.The results were interpreted according to the breakpoints issued by the Clinical & Laboratory Standards Institute(CLSI)in 2021(M100 31st edition)and analyzed with WHONET 5.6 software.Results A total of 37 966 Enterobacter strains were isolated from 2015 to 2021.The proportion of Enterobacter isolates among all clinical isolates showed a fluctuating trend over the 7-year period,overall 2.5%in all clinical isolates amd 5.7%in Enterobacterale strains.The most frequently isolated Enterobacter species was Enterobacter cloacae,accounting for 93.7%(35 571/37 966).The strains were mainly isolated from respiratory specimens(44.4±4.6)%,followed by secretions/pus(16.4±2.3)%and urine(16.0±0.9)%.The strains from respiratory samples decreased slightly,while those from sterile body fluids increased over the 7-year period.The Enterobacter strains were mainly isolated from inpatients(92.9%),and only(7.1±0.8)%of the strains were isolated from outpatients and emergency patients.The patients in surgical wards contributed the highest number of isolates(24.4±2.9)%compared to the inpatients in any other departement.Overall,≤ 7.9%of the E.cloacae strains were resistant to amikacin,tigecycline,polymyxin B,imipenem or meropenem,while ≤5.6%of the Enterobacter asburiae strains were resistant to these antimicrobial agents.E.asburiae showed higher resistance rate to polymyxin B than E.cloacae(19.7%vs 3.9%).Overall,≤8.1%of the Enterobacter gergoviae strains were resistant to tigecycline,amikacin,meropenem,or imipenem,while 10.5%of these strains were resistant to polycolistin B.The overall prevalence of carbapenem-resistant Enterobacter was 10.0%over the 7-year period,but showing an upward trend.The resistance profiles of Enterobacter isolates varied with the department from which they were isolated and whether the patient is an adult or a child.The prevalence of carbapenem-resistant E.cloacae was the highest in the E.cloacae isolates from ICU patients.Conclusions The results of the CHINET Antimicrobial Resistance Surveillance Program indicate that the proportion of Enterobacter strains in all clinical isolates fluctuates slightly over the 7-year period from 2015 to 2021.The Enterobacter strains showed increasing resistance to multiple antimicrobial drugs,especially carbapenems over the 7-year period.

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