1.Computational pathology in precision oncology: Evolution from task-specific models to foundation models.
Yuhao WANG ; Yunjie GU ; Xueyuan ZHANG ; Baizhi WANG ; Rundong WANG ; Xiaolong LI ; Yudong LIU ; Fengmei QU ; Fei REN ; Rui YAN ; S Kevin ZHOU
Chinese Medical Journal 2025;138(22):2868-2878
With the rapid development of artificial intelligence, computational pathology has been seamlessly integrated into the entire clinical workflow, which encompasses diagnosis, treatment, prognosis, and biomarker discovery. This integration has significantly enhanced clinical accuracy and efficiency while reducing the workload for clinicians. Traditionally, research in this field has depended on the collection and labeling of large datasets for specific tasks, followed by the development of task-specific computational pathology models. However, this approach is labor intensive and does not scale efficiently for open-set identification or rare diseases. Given the diversity of clinical tasks, training individual models from scratch to address the whole spectrum of clinical tasks in the pathology workflow is impractical, which highlights the urgent need to transition from task-specific models to foundation models (FMs). In recent years, pathological FMs have proliferated. These FMs can be classified into three categories, namely, pathology image FMs, pathology image-text FMs, and pathology image-gene FMs, each of which results in distinct functionalities and application scenarios. This review provides an overview of the latest research advancements in pathological FMs, with a particular emphasis on their applications in oncology. The key challenges and opportunities presented by pathological FMs in precision oncology are also explored.
Humans
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Precision Medicine/methods*
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Medical Oncology/methods*
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Artificial Intelligence
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Neoplasms/pathology*
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Computational Biology/methods*
2.Influence of Gene Mutation on the Effectiveness of Arsenic-Containing Herbal Compound Formula in Treatment of Myelodysplastic Syndromes of Different TCM Patterns
Zichun WANG ; Zhuo CHEN ; Dexiu WANG ; Haiyan XIAO ; Weiyi LIU ; Ruibai LI ; Chi LIU ; Fengmei WANG ; Shanshan ZHANG ; Mingjing WANG ; Liu LI ; Xiaoqing GUO ; Hongzhi WANG ; Xudong TANG
Journal of Traditional Chinese Medicine 2025;66(14):1463-1472
ObjectiveTo observe the effect of gene mutation on the effectiveness of arsenic-containing Chinese herbal compound formulas in the treatment of myelodysplastic syndromes (MDS) of different traditional Chinese medicine (TCM) patterns, so as to provide the basis for the clinical application. MethodsClinical data of 442 MDS patients who were treated with arsenic-containing herbal compound formulas were retrospectively collected, including the baseline demographic and clinical characteristics of the patients. Based on the TCM four examinations, the patients were divided into the spleen-kidney deficiency group as well as the qi-yin deficiency group, and according to the results of the next-generation sequencing (NGS) test, they were divided into the group with and without gene mutation respectively. The influence of gene mutation on the clinical effectiveness of patients with different TCM patterns was analyzed, the baseline demographic and clinical characteristics of the patients with different outcomes of the two TCM patterns were compared, and multivariate Logistic regression analysis was conducted on the influencing factors of the effective rate of MDS patients with gene mutation. ResultsA total of 190 cases were included in the spleen-kidney deficiency group (119 cases with gene mutation) and 43 cases in the qi-yin deficiency group (23 cases with gene mutation). No statistically significant differences were noted in effectiveness assessment, total effective rate, and total response rate between the spleen-kidney deficiency group and the qi-yin deficiency group (P>0.05). In the spleen-kidney deficiency group, the total effective rate of MDS with gene mutation was 65.55% (78/119), which was lower than 80.28% (57/71) of MDS without gene mutation, with statistical significance (P = 0.033), while no statistical differences in effectiveness assessment and total response rate were noted (P>0.05). In the qi-yin deficiency group, no statistical differences were observed in effectiveness assessment, total effective rate, and total response rate of the patients in with or without gene mutation (P>0.05). In the spleen-kidney deficiency group with gene mutation, the rate of complex karyotype (P = 0.031) and the mutation rate of CBL gene (P = 0.032) in the ineffective population were higher than those in the effective population, while the mutation rate of DDX41 gene in the effective population was higher than that in the ineffective population (P = 0.033). No statistically significant differences were found in other gene mutations, age, gender distribution, number of gene mutations, bone marrow hyperplasia degree, blast cell range, reticular fiber tissue proliferation or not, and prognosis of chromosomal abnormalities between the effective and ineffective populations (P>0.05). In the qi-yin deficiency group with gene mutation, no statistically significant differences were found in various items between populations with different outcomes (P>0.05). Multivariate Logistic regression analysis showed that complex karyotype, CBL mutation, and DDX41 mutation were independently associated with the effective rate of MDS with spleen-kidney deficiency and gene mutation (P<0.05). DDX41 mutation was an independent protective factor in the spleen-kidney deficiency group (OR>1), while complex karyotype and CBL mutation were independent risk factors (OR<1). ConclusionThe arsenic-containing TCM compound formulas exhibited better effectiveness in MDS with spleen-kidney deficiency pattern without mutation; and in MDS with spleen-kidney deficiency pattern without complex karyotypes, CBL mutation, and with DDX41 mutations. Furthermore, DDX41 mutation was an independent protective factor in the spleen-kidney deficiency group, while complex karyotype and CBL mutation were independent risk factors. In MDS with qi-yin deficiency pattern, gene mutation-related factors showed no significant impact on the effectiveness of arsenic-containing TCM compound formulas.
3.Optimal evidence summary of platelet implantation delayed management in patients with allogeneic hematopoietic stem cell transplantation
Yang LI ; Li LIU ; Fengmei TAN ; Xiaolei ZHAO
Chongqing Medicine 2025;54(9):2165-2172,2178
Objective To systematically retrieve,evaluate and summarize the related evidences of plate-let implantation delayed management in the patients with allogeneic hematopoietic stem cell transplantation.Methods According to the"6S"model,the clinical decision systems,guidelines network,professional associa-tion websites and databases were retrieved to collect the evidences regarding the platelet implantation delayed management in the patients with allogeneic hematopoietic stem cell transplantation,the retrieval time limit was from the database establishment to May 2024.Two researchers independently conducted the quality eval-uation of the literatures,evidence extraction and evidence integration.Results A total of 17 articles were fi-nally included,including 1 guideline,2 clinical decisions,3 systematic reviews,5 expert consensus and 6 ran-domized controlled trials.A total of 24 pieces of evidences were summarized in 5 aspects,including the pre-transplantation evaluation and prevention,application of mesenchymal stem cells,thrombopoietic drugs man-agement,blood transfusion support and complication management such as bleeding.Conclusion The medical and care staffs should carry out the best evidence practice for platelet implantation delayed management in the patients with allogeneic hematopoietic stem cell transplantation by combining with the domestic clinical situa-tion to reduce the hemorrhage in multiple organ systems after transplantation and improve the survival quality.
4.Clinical analysis of seven cases of primary hyperoxaluria type 1
Zuolin LI ; Bin WANG ; Fengmei WANG ; Haifeng NI ; Yuqiu LIU ; Wen SHI ; Junlan YANG ; Xiaotong XIE ; Bicheng LIU ; Xiaoliang ZHANG
Chinese Journal of Internal Medicine 2024;63(8):781-786
We retrospectively analyzed the clinical data of seven patients (four men and three women) with primary hyperoxaluria (PH) type 1 (PH1) in the Department of Nephrology of Zhongda Hospital, Southeast University from January 2018 to October 2023. The mean age at disease onset was 32.1 (range: 26-42) years. The mean age at diagnosis was 40.6 (range: 28-51) years. All patients initially had kidney stones, and three patients were found to have renal insufficiency at the time of disease onset. Among them, two patients underwent hemodialysis immediately. Symptoms at the first visit included bone pain ( n=7), joint pain or deformity ( n=5), fatigue ( n=5), hypotension ( n=3), and subcutaneous nodules ( n=2). Four patients had a family history of PH. All patients had varying degrees of anemia (60-114 g/L), significant hypoalbuminemia (16.5-32.1 g/L), and hypercoagulable state (D-dimer: 2 230-12 781 μg/L). Seven patients received maintenance hemodialysis; their mean age was 37.7 (range: 26-50) years. The mean duration from disease onset to hemodialysis was 5.6 (range: 0-20) years. Five patients repeatedly experienced dialysis access dysfunction. Three patients underwent kidney transplantation before a diagnosis was made, and all transplanted kidneys lost function due to oxalate deposition. The mean follow-up duration was 14.43 (range: 4-38) months. Unfortunately, one patient died. All seven patients underwent computed tomography of the abdomen. All patients suffered skeletal abnormalities, bilateral nephrolithiasis, and nephrocalcinosis. Six patients carried AGXT gene mutations, including four compound heterozygous mutations and two pure homozygous mutations.The mutation sites included: c.823-824dup.AG (p.S275Rfs*38)(exon 8), c.815-816ins.GA (p.S275Rfs*38)(exon 8), c.595G>A (p.G199S) (exon 5), c.32C>G (p.P11R) (exon 1), and c.638C>T (p.A213V)(exon 6). According to the American College of Medical Genetics and Genomics guidelines, two loci were identified as likely pathogenic variants, seven were identified as pathogenic variants, and one locus was identified as having uncertain significance. In addition, patients 1 and 4 underwent skin biopsy, patient 2 underwent renal transplant biopsy, and patient 3 underwent bone marrow biopsy. Interestingly, significant oxalate deposition was found in the tissues. Therefore, PH1 is a rare autosomal recessive inherited disease. This study not only enhanced the understanding of the clinical characteristics of PH1 patients but also had great significance in early diagnosis and treatment of the disease.
5.Hemophagocytic syndrome combined with thrombotic microangiopathy: a case report
Yan YANG ; Yuqiu LIU ; Bin WANG ; Changsheng XU ; Fengmei WANG ; Xiaoliang ZHANG ; Bicheng LIU
Chinese Journal of Nephrology 2024;40(7):558-561
The paper reports a rarely case of hemophagocytic syndrome complicated with thrombotic microangiopathy, first presented with fever of unknown origin. A 37-year-old female patient mainly presented with fever, hemolytic anemia, thrombocytopenia, and progressive decline in renal function. After infusion of fresh frozen plasma and high dose of glucocorticoid after double plasma exchange, the patient showed good prognosis, no further fever or hemolysis occurred, recovered platelet and renal function. After acute episode phase, kidney biopsy was performed and acute tubular necrosis was diagnosed. During the follow-up period, the disease did not recur, and the renal function was normal.
6.Efficacy evaluation of extending or switching to tenofovir amibufenamide in patients with chronic hepatitis B: a phase Ⅲ randomized controlled study
Zhihong LIU ; Qinglong JIN ; Yuexin ZHANG ; Guozhong GONG ; Guicheng WU ; Lvfeng YAO ; Xiaofeng WEN ; Zhiliang GAO ; Yan HUANG ; Daokun YANG ; Enqiang CHEN ; Qing MAO ; Shide LIN ; Jia SHANG ; Huanyu GONG ; Lihua ZHONG ; Huafa YIN ; Fengmei WANG ; Peng HU ; Xiaoqing ZHANG ; Qunjie GAO ; Chaonan JIN ; Chuan LI ; Junqi NIU ; Jinlin HOU
Chinese Journal of Hepatology 2024;32(10):883-892
Objective:In chronic hepatitis B (CHB) patients with previous 96-week treatment with tenofovir amibufenamide (TMF) or tenofovir disoproxil fumarate (TDF), we investigated the efficacy of sequential TMF treatment from 96 to 144 weeks.Methods:Enrolled subjects who were previously assigned (2:1) to receive either 25 mg TMF or 300 mg TDF with matching placebo for 96 weeks received extended or switched TMF treatment for 48 weeks. Efficacy was evaluated based on virological, serological, biological parameters, and fibrosis staging. Statistical analysis was performed using the McNemar test, t-test, or Log-Rank test according to the data. Results:593 subjects from the initial TMF group and 287 subjects from the TDF group were included at week 144, with the proportions of HBV DNA<20 IU/ml at week 144 being 86.2% and 83.3%, respectively, and 78.1% and 73.8% in patients with baseline HBV DNA levels ≥8 log10 IU/ml. Resistance to tenofovir was not detected in both groups. For HBeAg loss and seroconversion rates, both groups showed a further increase from week 96 to 144 and the 3-year cumulative rates of HBeAg loss were about 35% in each group. However, HBsAg levels were less affected during 96 to 144 weeks. For patients switched from TDF to TMF, a substantial further increase in the alanine aminotransferase (ALT) normalization rate was observed (11.4%), along with improved FIB-4 scores.Conclusion:After 144 weeks of TMF treatment, CHB patients achieved high rates of virological, serological, and biochemical responses, as well as improved liver fibrosis outcomes. Also, switching to TMF resulted in significant benefits in ALT normalization rates (NCT03903796).
7.Safety profile of tenofovir amibufenamide therapy extension or switching in patients with chronic hepatitis B: a phase Ⅲ multicenter, randomized controlled trial
Zhihong LIU ; Qinglong JIN ; Yuexin ZHANG ; Guozhong GONG ; Guicheng WU ; Lvfeng YAO ; Xiaofeng WEN ; Zhiliang GAO ; Yan HUANG ; Daokun YANG ; Enqiang CHEN ; Qing MAO ; Shide LIN ; Jia SHANG ; Huanyu GONG ; Lihua ZHONG ; Huafa YIN ; Fengmei WANG ; Peng HU ; Xiaoqing ZHANG ; Qunjie GAO ; Peng XIA ; Chuan LI ; Junqi NIU ; Jinlin HOU
Chinese Journal of Hepatology 2024;32(10):893-903
Objective:In chronic hepatitis B (CHB) patients with previous 96-week treatment with tenofovir amibufenamide (TMF) or tenofovir disoproxil fumarate (TDF), we investigated the safety profile of sequential TMF treatment from 96 to 144 weeks.Methods:Enrolled subjects that previously assigned (2:1) to receive either 25 mg TMF or 300 mg TDF with matching placebo for 96 weeks received extending or switching TMF treatment for 48 weeks. Safety profiles of kidney, bone, metabolism, body weight, and others were evaluated.Results:666 subjects from the initial TMF group and 336 subjects from TDF group with at least one dose of assigned treatment were included at week 144. The overall safety profile was favorable in each group and generally similar between extended or switched TMF treatments from week 96 to 144. In subjects switching from TDF to TMF, the non-indexed estimated glomerular filtration rate (by non-indexed CKD-EPI formula) and creatinine clearance (by Cockcroft-Gault formula) were both increased, which were (2.31±8.33) ml/min and (4.24±13.94) ml/min, respectively. These changes were also higher than those in subjects with extending TMF treatment [(0.91±8.06) ml/min and (1.30±13.94) ml/min]. Meanwhile, switching to TMF also led to an increase of the bone mineral density (BMD) by 0.75% in hip and 1.41% in spine. On the other side, a slight change in TC/HDL ratio by 0.16 (IQR: 0.00, 0.43) and an increase in body mass index (BMI) by (0.54±0.98) kg/m 2 were oberved with patients switched to TMF, which were significantly higher than that in TMF group. Conclusion:CHB patients receiving 144 weeks of TMF treatment showed favorable safety profile. After switching to TMF, the bone and renal safety was significantly improved in TDF group, though experienceing change in metabolic parameters and weight gain (NCT03903796).
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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