2.Associations between statins and all-cause mortality and cardiovascular events among peritoneal dialysis patients: A multi-center large-scale cohort study.
Shuang GAO ; Lei NAN ; Xinqiu LI ; Shaomei LI ; Huaying PEI ; Jinghong ZHAO ; Ying ZHANG ; Zibo XIONG ; Yumei LIAO ; Ying LI ; Qiongzhen LIN ; Wenbo HU ; Yulin LI ; Liping DUAN ; Zhaoxia ZHENG ; Gang FU ; Shanshan GUO ; Beiru ZHANG ; Rui YU ; Fuyun SUN ; Xiaoying MA ; Li HAO ; Guiling LIU ; Zhanzheng ZHAO ; Jing XIAO ; Yulan SHEN ; Yong ZHANG ; Xuanyi DU ; Tianrong JI ; Yingli YUE ; Shanshan CHEN ; Zhigang MA ; Yingping LI ; Li ZUO ; Huiping ZHAO ; Xianchao ZHANG ; Xuejian WANG ; Yirong LIU ; Xinying GAO ; Xiaoli CHEN ; Hongyi LI ; Shutong DU ; Cui ZHAO ; Zhonggao XU ; Li ZHANG ; Hongyu CHEN ; Li LI ; Lihua WANG ; Yan YAN ; Yingchun MA ; Yuanyuan WEI ; Jingwei ZHOU ; Yan LI ; Caili WANG ; Jie DONG
Chinese Medical Journal 2025;138(21):2856-2858
3.Augmentation of PRDX1-DOK3 interaction alleviates rheumatoid arthritis progression by suppressing plasma cell differentiation.
Wenzhen DANG ; Xiaomin WANG ; Huaying LI ; Yixuan XU ; Xinyu LI ; Siqi HUANG ; Hongru TAO ; Xiao LI ; Yulin YANG ; Lijiang XUAN ; Weilie XIAO ; Dean GUO ; Hao ZHANG ; Qiong WU ; Jie ZHENG ; Xiaoyan SHEN ; Kaixian CHEN ; Heng XU ; Yuanyuan ZHANG ; Cheng LUO
Acta Pharmaceutica Sinica B 2025;15(8):3997-4013
Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by persistent inflammation and joint damage, accompanied by the accumulation of plasma cells, which contributes to its pathogenesis. Understanding the genetic alterations occurring during plasma cell differentiation in RA can deepen our comprehension of its pathogenesis and guide the development of targeted therapeutic interventions. Here, our study elucidates the intricate molecular mechanisms underlying plasma cell differentiation by demonstrating that PRDX1 interacts with DOK3 and modulates its degradation by the autophagy-lysosome pathway. This interaction results in the inhibition of plasma cell differentiation, thereby alleviating the progression of collagen-induced arthritis. Additionally, our investigation identifies Salvianolic acid B (SAB) as a potent small molecular glue-like compound that enhances the interaction between PRDX1 and DOK3, consequently impeding the progression of collagen-induced arthritis by inhibiting plasma cell differentiation. Collectively, these findings underscore the therapeutic potential of developing chemical stabilizers for the PRDX1-DOK3 complex in suppressing plasma cell differentiation for RA treatment and establish a theoretical basis for targeting PRDX1-protein interactions as specific therapeutic targets in various diseases.
4.Anthocyanins from Lycium ruthenicum Murr combined with human adipose-derived pericytes/perivascular cells support proliferation of umbilical cord blood hematopoietic stem/progenitor cells
Yamei SHEN ; Yunxia NIU ; Tingting YANG ; Jie MA ; Daihong HU ; Bo ZHENG
Chinese Journal of Tissue Engineering Research 2025;29(1):58-64
BACKGROUND:Anthocyanin is one of the most important active components in Lycium ruthenicum Murr,which has antioxidant and immunomodulatory effects.CD146+human adipose-derived pericytes/perivascular cells(CD146+hAD-PCs)are the progenitors of bone marrow mesenchymal stem cells,which can promote the proliferation and differentiation of hematopoietic stem/progenitor cells in vitro.The support effect of anthocyanin in combination with CD146+hAD-PCs on umbilical cord blood hematopoietic stem/progenitor cells remains to be studied. OBJECTIVE:To investigate the supporting effect of anthocyanins in Lycium ruthenicum Murr(ALRM)combined with CD146+hAD-PCs on umbilical cord blood CD34+hematopoietic stem/progenitor cells(UCB CD34+HSPCs)in vitro. METHODS:The CCK-8 assay was used to detect the effect of different concentrations(0,200,400,600,800,1 000 mg/L)of ALRM on the proliferation of CD146+hAD-PCs.Flow cytometry was used to detect the effect of ALRM on the cell cycle of CD146+hAD-PCs.The co-culture experiments were divided into blank group,ALRM group,CD146+hAD-PCs group,and ALRM+CD146+hAD-PCs group to analyze the in vitro supporting effect of ALRM combined with CD146+hAD-PCs on UCB CD34+HSPCs.The number of expanded cells and the number of colony-forming units were compared at 1,2,and 4 weeks of co-culture.The immunophenotype of cells was detected by flow cytometry.The level of cytokines was detected by enzyme-linked immunosorbent assay. RESULTS AND CONCLUSION:(1)The cell viability of CD146+hAD-PCs was highest at an ALRM concentration of 200 mg/L,the proportion of G0/G1 phase cells decreased and the proportion of S and G2/M phase cells increased in CD146+hAD-PCs(P<0.01).(2)The change in number of UCB CD34+HSPCs cells in the ALRM+CD146+hAD-PCs group was higher than that in the ALRM group at 1,2,and 4 weeks of co-culture(all P<0.05),and higher than that in CD146+hAD-PCs group at 2 and 4 weeks of co-culture(all P<0.05).The number of cells in the ALRM group and blank group decreased gradually with the extension of co-culture time.(3)Colony forming capacity and immunophenotype analysis:The number of colony-forming units in the ALRM+CD146+hAD-PCs group was higher than that in the CD146+hAD-PCs group and ALRM group at 1 and 2 weeks of co-culture(P<0.05).The proportion of CD45+and CD34+CD33-cells in the ALRM+CD146+hAD-PCs group was higher than that in the CD146+hAD-PCs group at 1 and 2 weeks of co-culture(all P<0.01).(4)Changes in cytokines:Interleukin-2 level in the ALRM+CD146+hAD-PCs group was higher than that in the ALRM and CD146+hAD-PCs groups(P<0.05).The interleukin-3 content of the ALRM+CD146+hAD-PCs group was higher than that of the CD146+hAD-PCs group at 2 and 4 weeks(P<0.05).The expression level of granulocyte colony-stimulating factor in the ALRM+CD146+hAD-PCs group was higher than that in the CD146+hAD-PCs group at 1 week,and higher than that in the ALRM group and CD146+hAD-PCs group at 2 weeks(P<0.01).Interferon-γ content in the ALRM group and ALRM+CD146+hAD-PCs group was lower than that in the CD146+hAD-PCs group at 1,2,and 4 weeks of co-culture(P<0.01).(5)Due to the absence of stromal cells in the blank group,UCB CD34+HSPCs could not be counted after 1 week of co-culture and were not subjected to immunophenotyping,colony analysis,or cytokine assays.(6)In summary,ALRM can promote the expansion of UCB CD34+HSPCs in vitro by promoting CD146+hAD-PCs proliferation and cell cycle transformation,which is of great value in hematopoietic stem cell transplantation.
5.Changing resistance profiles of Haemophilus influenzae and Moraxella catarrhalis isolates in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Hui FAN ; Chunhong SHAO ; Jia WANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Yunsheng CHEN ; Qing MENG ; Hong ZHANG ; Chun WANG ; Fang DONG ; Wenqi SONG ; Kaizhen WEN ; Yirong ZHANG ; Chuanqing WANG ; Pan FU ; Chao ZHUO ; Danhong SU ; Jiangwei KE ; Shuping ZHOU ; Hua ZHANG ; Fangfang HU ; Mei KANG ; Chao HE ; Hua YU ; Xiangning HUANG ; Yingchun XU ; Xiaojiang ZHANG ; Wenen LIU ; Yanming LI ; Lei ZHU ; Jinhua MENG ; Shifu WANG ; Bin SHAN ; Yan DU ; Wei JIA ; Gang LI ; Jiao FENG ; Ping GONG ; Miao SONG ; Lianhua WEI ; Xin WANG ; Ruizhong WANG ; Hua FANG ; Sufang GUO ; Yanyan WANG ; Dawen GUO ; Jinying ZHAO ; Lixia ZHANG ; Juan MA ; Han SHEN ; Wanqing ZHOU ; Ruyi GUO ; Yan ZHU ; Jinsong WU ; Yuemei LU ; Yuxing NI ; Jingrong SUN ; Xiaobo MA ; Yanqing ZHENG ; Yunsong YU ; Jie LIN ; Ziyong SUN ; Zhongju CHEN ; Zhidong HU ; Jin LI ; Fengbo ZHANG ; Ping JI ; Yunjian HU ; Xiaoman AI ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Xuesong XU ; Chao YAN ; Yi LI ; Shanmei WANG ; Hongqin GU ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Jihong LI ; Bixia YU ; Cunshan KOU ; Jilu SHEN ; Wenhui HUANG ; Xiuli YANG ; Likang ZHU ; Lin JIANG ; Wen HE ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(1):30-38
Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91%of the total clinical isolates and 4.07%of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89%were isolated from children and 33.11%were isolated from adults.More than 90%of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79%in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06%were isolated from children and 19.94%isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0%.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.
6.Changing distribution and antimicrobial resistance profiles of clinical isolates in children:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Qing MENG ; Lintao ZHOU ; Yunsheng CHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Chuanqing WANG ; Aimin WANG ; Lei ZHU ; Jinhua MENG ; Hong ZHANG ; Chun WANG ; Fang DONG ; Zhiyong LÜ ; Shuping ZHOU ; Yan ZHOU ; Shifu WANG ; Fangfang HU ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Wei JIA ; Gang LI ; Kaizhen WEN ; Yirong ZHANG ; Yan JIN ; Chunhong SHAO ; Yong ZHAO ; Ping GONG ; Chao ZHUO ; Danhong SU ; Bin SHAN ; Yan DU ; Sufang GUO ; Jiao FENG ; Ziyong SUN ; Zhongju CHEN ; Wen'en LIU ; Yanming LI ; Xiaobo MA ; Yanping ZHENG ; Dawen GUO ; Jinying ZHAO ; Ruizhong WANG ; Hua FANG ; Lixia ZHANG ; Juan MA ; Jihong LI ; Zhidong HU ; Jin LI ; Yuxing NI ; Jingyong SUN ; Ruyi GUO ; Yan ZHU ; Yi XIE ; Mei KANG ; Yuanhong XU ; Ying HUANG ; Shanmei WANG ; Yafei CHU ; Hua YU ; Xiangning HUANG ; Lianhua WEI ; Fengmei ZOU ; Han SHEN ; Wanqing ZHOU ; Yunzhuo CHU ; Sufei TIAN ; Shunhong XUE ; Hongqin GU ; Xuesong XU ; Chao YAN ; Bixia YU ; Jinju DUAN ; Jianbang KANG ; Jiangshan LIU ; Xuefei HU ; Yunsong YU ; Jie LIN ; Yunjian HU ; Xiaoman AI ; Chunlei YUE ; Jinsong WU ; Yuemei LU
Chinese Journal of Infection and Chemotherapy 2025;25(1):48-58
Objective To understand the changing composition and antibiotic resistance of bacterial species in the clinical isolates from outpatient and emergency department(hereinafter referred to as outpatients)and inpatient children over time in various hospitals,and to provide laboratory evidence for rational antibiotic use.Methods The data on clinically isolated pathogenic bacteria and antimicrobial susceptibility of isolates from outpatients and inpatient children in the CHINET program from 2015 to 2021 were collected and analyzed.Results A total of 278 471 isolates were isolated from pediatric patients in the CHINET program from 2015 to 2021.About 17.1%of the strains were isolated from outpatients,primarily group A β-hemolytic Streptococcus,Escherichia coli,and Staphylococcus aureus.Most of the strains(82.9%)were isolated from inpatients,mainly SS.aureus,E.coli,and H.influenzae.The prevalence of methicillin-resistant S.aureus(MRSA)in outpatients(24.5%)was lower than that in inpatient children(31.5%).The MRSA isolates from outpatients showed lower resistance rates to the antibiotics tested than the strains isolated from inpatient children.The prevalence of vancomycin-resistant Enterococcus faecalis or E.faecium and penicillin-resistant S.pneumoniae was low in either outpatients or inpatient children.S.pneumoniae,β-hemolytic Streptococcus and S.viridans showed high resistance rates to erythromycin.The prevalence of erythromycin-resistant group A β-hemolytic Streptococcus was higher in outpatients than that in inpatient children.The prevalence of β-lactamase-producing H.influenzae showed an overall upward trend in children,but lower in outpatients(45.1%)than in inpatient children(59.4%).The prevalence of carbapenem-resistant Klebsiella pneumoniae(CRKpn),carbapenem-resistant Pseudomonas aeruginosa(CRPae)and carbapenem-resistant Acinetobacter baumannii(CRAba)was 14%,11.7%,47.8%in outpatients,but 24.2%,20.6%,and 52.8%in inpatient children,respectively.The prevalence of multidrug-resistant E.coli,K.pneumoniae,Proteus mirabilis,P.aeruginosa and A.baumannii strains was lower in outpatients than in inpatient children.The prevalence of fluoroquinolone-resistant E.coli,ESBLs-producing K.pneumoniae,ESBLs-producing P.mirabilis,carbapenem-resistant E.coli(CREco),CRKpn,and CRPae was lower in children in outpatients than in inpatient children,but the prevalence of CRAba in 2021 was higher than in inpatient children.Conclusions The distribution of clinical isolates from children is different between outpatients and inpatients.The prevalence of MRSA,ESBL,and CRO was higher in inpatient children than in outpatients.Antibiotics should be used rationally in clinical practice based on etiological diagnosis and antimicrobial susceptibility test results.Ongoing antimicrobial resistance surveillance and prevention and control of hospital infections are crucial to curbing bacterial resistance.
7.Surveillance of antimicrobial resistance in clinical isolates of Escherichia coli:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Shanmei WANG ; Bing MA ; Yi LI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Aimin WANG ; 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 ; 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 ; Wenhui HUANG ; 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 2025;25(1):39-47
Objective To investigate the changing antibiotic resistance profiles of E.coli isolated from patients in the 52 hospitals participating in the CHINET program from 2015 to 2021.Methods Antimicrobial susceptibility was tested for clinical isolates of E.coli according to the unified protocol of CHINET program.WHONET 5.6 and SPSS 20.0 software were used for data analysis.Results Atotal of 289 760 nonduplicate clinical strains ofE.coli were isolated from 2015 to 2021,mainly from urine samples(44.7±3.2)%.The proportion of E.coli strains isolated from urine samples was higher in females than in males(59.0%vs 29.5%).The proportion of E.coli strains isolated from respiratory tract and cerebrospinal fluid samples was significantly higher in children than in adults(16.7%vs 7.8%,0.8%vs 0.1%,both P<0.05).The isolates from internal medicine department accounted for the largest proportion(28.9±2.8)%with an increasing trend over years.Overall,the prevalence of ESBLs-producing E.coli and carbapenem resistant E.coli(CREco)was 55.9%and 1.8%,respectively during the 7-year period.The prevalence of ESBLs-producing E.coli was the highest in tertiary hospitals each year from 2015 to 2021 compared to secondary hospitals.The prevalence of CREco was higher in children's hospitals compared to secondary and tertiary hospitals each year from 2015 to 2021.The prevalence of ESBLs-producing E.coli in tertiary hospitals and children's hospitals and the prevalence of CREco in children's hospitals showed a decreasing trend over the 7-year period.The prevalence of CREco in secondary and tertiary hospitals increased slowly.Antibiotic resistance rates changed slowly from 2015 to 2021.Carbapenem drugs(imipenem,meropenem)were the most active drugs amongβ-lactams against E.coli(resistance rate≤2.1%).The resistance rates of E.coli to β-lactam/β-lactam inhibitor combinations(piperacillin-tazobactam,cefoperazone-sulbactam),aminoglycosides(amikacin),nitrofurantoin and fosfomycin(for urinary isolates only)were all less than 10%.The resistance rate of E.coli strains to antibiotics varied with the level of hospitals and the departments where the strains were isolated,especially for cefazolin and ciprofloxacin,to which the resistance rate of E.coli strains from children in non-ICU departments was significantly lower than that of the strains isolated from other departments(P<0.05).The E.coli isolates from ICU showed higher resistance rate to most antimicrobial agents tested(excluding tigecycline)than the strains isolated from other departments.The E.coli strains isolated from tertiary hospitals showed higher resistance rates to the antimicrobial agents tested(excluding tigecycline,polymyxin B,cefepime and carbapenems)than the strains from secondary hospitals and children's hospitals.Conclusions E.coli is an important pathogen causing clinical infection.More than half of the clinical isolates produced ESBL.The prevalence of CREco is increasing in secondary and tertiary hospitals over the 7-year period even though the overall prevalence is still low.This is an issue of concern.
8.Association of digit ratio with polymorphisms at three loci of matrix metalloproteinase 9 gene in Ningxia Han youths
Meng-Yi YANG ; Jin ZHANG ; Shi-Bo NIU ; Jie DANG ; Zhan-Bing MA ; Hong LU ; Zheng-Hao HUO ; Yu XU ; Dan SHEN
Acta Anatomica Sinica 2025;56(1):74-79
Objective To investigate the association of digit ratio with single nucleotide polymorphism(SNP)at three loci(rs17576,rs3918249,rs9509)of matrix metallopeptidase 9(MMP-9)gene.Methods A total of 804 Ningxia Han youths(399 males and 405 females)were used as the study subjects.A digital camera was used to take frontal photographs of the hands,and image analysis software was used to mark the anatomical points and measure the lengths of each finger of both hands(2D,3D,4D,5D);Multiplexed PCR was used to detect the three polymorphic sites of the MMP-9 gene,SPSS 25.0 and R Studio software were used for data analysis and plotting.Results The 2D/3D(P<0.05)and 2D/4D(left,P<0.01,right,P<0.05)of both hands,2D/5D(P<0.01),3D/5D,4D/5D(P<0.05)of the right hand,and 3D/4D(P<0.05)of the left hand in female youths of Ningxia Han were significantly higher than those in males,Differences in genotypes and allele frequencies at all 3 loci of the MMP-9 gene were not statistically significant between genders(P>0.05).Right hand 2D/4D was significantly associated with genotypes at the rs17576 and rs3918249 loci in male youths(P<0.05).Conclusion MMP-9 gene SNPs(rs17576 and rs3918249)may be associated with the formation of 2D/4D of Ningxia Han male youths.
9.Survival and cause-of-death analysis of 55 thousand thyroid cancer cases in China from a large single institution hospital-based cancer registry database
Jie SHEN ; Wanlin LIU ; Zezhou WANG ; Sibo MU ; Miao MO ; Changming ZHOU ; Jing YUAN ; Yu WANG ; Ying ZHENG ; Qinghai JI
China Oncology 2025;35(1):68-76
Background and purpose:Thyroid cancer is the most common malignant endocrine tumor,particularly prevalent among the Asian population.The overall survival for thyroid cancer patients is relatively high,but there are significant survival differences among patients.Based on long-term hospital-based cancer registry database,this study analyzed the 10-year observed overall survival(OS)rate of thyroid cancer cases and the distribution of causes of death,providing real-world evidences to further survival management of thyroid cancer in China.Methods:A total of 55343 thyroid cancer patients who underwent treatment at Fudan University Shanghai Cancer center from 2005 to 2021 were included in this study.Clinical information and the follow-up endpoint data were collected through medical records review,telephone visits and death registry data linkage.The last follow-up date was October 31,2024.Kaplan-Meier method was applied in evaluating the OS rate,and survival data were described by different subgroups as age group,gender,treatment period,tumor staging and pathological characteristics.The standardized mortality ratio(SMR)and absolute excess risk(AER)were calculated using general Shanghai population as the reference,and the mortality risk was described by gender,age at diagnosis and histological subtype.Results:With a median follow-up time of 63.01 months,the overall 1-,3-,5-and 10-year OS rates of thyroid cancer patients were 99.67%(95%CI:99.62%-99.72%),99.11%(95%CI:99.03%-99.19%),98.48%(95%CI:98.36%-98.60%)and 95.81%(95%CI:95.50%-96.11%),respectively.The 10-year OS rates of stage Ⅰ,Ⅱ,Ⅲ and Ⅳ were 97.99%(95%CI:97.70%-98.28%),89.80%(95%CI:87.24%-92.37%),77.84%(95%CI:70.76%-84.92%)and 62.95%(95%CI:55.37%-70.54%),respectively.The differences in OS among patients with different age,gender and histological classification were significant.1256(2.27%)deaths occurred,of which 18.63%,50.88%and 7.32%were attributable to thyroid cancer,other cancers and cardiovascular disease(CVD),respectively.Compared with the general population,patients with different subtypes of thyroid cancer had higher all-cause mortality rates,progressively increasing with papillary,follicular,medullary and anaplastic thyroid carcinoma/poorly differentiated carcinoma.Compared with general population,the death risk was 2.24 times higher in papillary thyroid cancer patients(95%CI:2.06-2.44),9.94 times higher in follicular thyroid cancer patients(95%CI:6.79-14.09),12.16 times higher in medullary thyroid cancer patients(95%CI:8.05-17.69),and the highest risk was observed in patients with anaplastic thyroid carcinoma/poorly differentiated carcinoma[SMR=79.67(95%CI:58.38-106.31),AER=766.01/1 000 person-years].Conclusion:The 10-year long survival data and cause of death for thyroid cancer patients with different histological types were reported in China based on a large single institution hospital-based cancer registry database.Staging and histological characteristics were the most important factors directly affected the survival.Early diagnosis and individualized treatment are crucial for improving prognosis.
10.Changing prevalence and antibiotic resistance profiles of carbapenem-resistant Enterobacterales in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Wenxiang JI ; Tong JIANG ; Jilu SHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yuanhong XU ; Ying HUANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yingchun XU ; Xiaojiang ZHANG ; 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 ; 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 ; Hong ZHANG ; Chun WANG ; Wenhui HUANG ; 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 2025;25(4):445-454
Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43%(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38%,9.73%,and 8.47%,respectively.The prevalence of CRE strains in Escherichia coli was 1.99%.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)%,followed by blood(20.88±3.40)%and urine(18.40±3.45)%.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)%.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.

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