1.Analysis of Drugs Used in Our Hospital After Medical Reform by DDDs System
Kangjie TIAN ; Hongqin WANG ; Xiuping LI
China Pharmacy 2001;0(09):-
OBJECTIVE: To investigate the situation and future trend of use of drugs in this hospital after medical re- form.METHODS:Using the principle of sequencing analysis of DUD system of drug,we analysed the data of drug consumption in our hospital during the period 1999-2000.RESULTS: The policy of medical reform has affected the component ratio of drugs used, the consumption of peroral drugs being increased.The incidence of cardiovascular diseases was high in this re- gion.CONCLUSION:Most of the drugs used after medical reform were those assigned in medical insurance,which will improve the rationality and effectiveness of medication.
2.Recent advances in clinical research on aflibercept treating fundus vascular diseases
Hongqiang ZOU ; Hongqin TIAN ; Yanping ZHANG ; Rongxin LI
Recent Advances in Ophthalmology 2017;37(9):894-897
Aflibercept is a soluble fusion protein which combines ligand-binding elements taken from the extracellular components of vascular endothelial growth factor (VEGF) receptor-1 and receptor-2 fused to the Fc portion of IgG,and it is a novel antiVEGF drug,which can reduce vascular permeability and inhibit neoangiogenesis by binding VEGF tightly.A large number of phase Ⅲ clinical trials have demonstrated the satisfactory outcomes of aflibercept in the management of neovascular age-related macular degeneration,macular edema secondary to retinal vein occlusion or macular edema and other retinal vascular diseases.Moreover,intravitreal injection of afiibercept can improve the visual acuity and attenuate the fundus lesion,which provides a new drug option for physicians.The review will summarize the chemical properties of aflibercept and its application,safety and efficacy of aflibercept for the treatment of retinal vascular diseases.
3.Impact of sucrose analgesia on pain response and salivary cortisol levels in preterm infants
Luanying TIAN ; Xiujuan WU ; Jun CHEN ; Erya YING ; Hongqin ZHANG ; Lingxia JI
Chinese Journal of Neonatology 2018;33(6):432-436
Objective To study the impact of sucrose analgesia on pain response and salivary cortisol levels in preterm infants.Method Preterm infants admitted to our hospital between January 2014 and October 2016 with gestational age < 34 weeks,birth weight < 2 000 grams,and length of hospital stay ≥ 14 days were prospectively assigned into two groups.The intervention group received 0.3 ~ 0.5 ml of 12% sucrose solution two minutes before each painful procedure,while the control group received none.At time of discharge and at 8 months of corrected age (CA),pain response was measured,saliva samples were collected and salivary cortisol levels were assayed using Enzyme Immunoassay Kit before and after pain stimulus.Result A total of 82 infants were included in our study,42 in the intervention group,and 40 in the control group.There were no statistically significant differences between two groups in pain response at discharge and 8 months of CA.At time of discharge and at 8 months of CA,infants in intervention group had higher salivary cortisol levels than in control group at time of discharge and 8 months of CA after pain stimulus [6.8 (5.6,11.7) ng/ml vs.5.4 (2.6,10.8) ng/ml,5.0 (3.3,5.6) ng/ml vs.4.8 (3.0,5.5) ng/ml] after log transformation,two groups were statistically significant (P < 0.05).However,before the pain stimulus,no differences were found between two groups.Multiple stepwise regressions analysis showed that salivary cortisol level post pain stimulus was negatively related to the total number of pain stimulus,and positively related to sucrose analgesia at discharge and 8 months of CA.Conclusion Sucrose analgesia may mitigate the negative effect of repeated pain stimulus on cortisol regulation in preterm infants,however,may have no influence on pain response of them.
4.Effect of remote medical information platform on efficiency of chest pain diagnosis and treatment and on a clinical decision analysis in chest pain center
Yi MA ; Bei SHI ; Guanxue XU ; Ranzhun ZHAO ; Xiaopeng WANG ; Lingling ZENG ; Hongqin TIAN
Chinese Journal of Geriatrics 2019;38(2):141-146
Objective To investigate the effect of remote medical information platform on efficiency of chest pain diagnosis and treatment and on clinical decision analyses in chest pain center.Methods A total of 537 chest pain patients who met the inclusion and exclusion criteria were consecutively enrolled and divided into two groups.The group without the chest pain platform(before setting up the platform)was 251 cases,and the group with chest pain platform(after setting up the platform)was 286 cases.The constituent ratio of acute coronary syndrome (ACS),the numbers of cases of both emergency thrombolysis and emergency percutaneous coronary intervention(PCI),the mean transfer treatment time,the first time medical contact to balloon catheter technique(FMC-to-B) and the door-to-balloon(D-to-B) time were compared between the two groups.The important multivariate factors affecting the D-to-B time were analyzed.Results The group with versus without chest pain platform showed the statistically significant improvements in the parameters as follows:(1)getting long range treatment (249 cases or 87.1% vs.92 cases or 36.7 %,x2 =146.56,P <0.05),(2) receiving thrombolysis(64 cases or 22.4% vs.15 cases or 6.0%,x2 =28.61,P<0.05),(3)average transfer treatment time(TTT) (176.3 ± 86.1 min vs.360.7 ± 107.4 min,t =11.53,P <0.05),(4)FMC-to-B(203.8±65.9 min vs.583.4±125.1 min,t =8.41,P<0.05)and (5)D-to-B time(86.5±30.6 min vs.148.2 ± 41.7 min,t =4.49,P < 0.05).Especially,patients after setting up the chest pain platform reached the standard of D-to-B time less than 90 min.According to whether reaching the standard of D-to-B time or not,clinical decision-making model analysis showed that the average Gini coefficient achieving the millennium development goal(MDG) was highest in the hospital referral,followed by the average transfer treatment time and emergency thrombolysis.Conclusions Reducing average transfer treatment time,improving the efficiency of hospital referral,and refining the remote terminal information platform for chest pain diagnosis and treatment are important for chest pain center by analyzing clinical data of chest pain patients.
5.Influence of implant depth and scanning rod length on accuracy of digital impression for mandibular posterior single-tooth implant restoration
Shuyu SUN ; Xinyan ZHENG ; Hongqin GAN ; Ruixue TIAN ; Xiaofei XIE
Journal of Southern Medical University 2024;44(11):2250-2255
Objective To study the influence of implant depth and scanning rod lengths on the accuracy of digital impression for single-tooth implant restoration of the mandibular posterior teeth.Methods Five standard dental cast models with missing right mandibular first molar(46)were prepared with the subgingival implant depths of 0,1,3,5 and 7 mm.ITI RC and ITI RC H11 scanning rods were connected to the replacement body and placed into the seating tract for scanning.The reference data were obtained using a 3D dental scanner,and the experimental data were obtained by 10 scans of each model using a digitized intraoral scanner.Geomagic Wrap 2021 was used to analyze the model data to test the trueness and precision of the models.Results The trueness did not differ significantly among the groups(P>0.05).The implant depth of 1 mm achieved the highest impression precision(66.81±2.45 μm),and the depth of 0 mm resulted in a significantly lower precision(95.60±3.04 μm)than the depth of 1 and 3 mm.Starting from the subgingival depth of 1 mm,the precision of the scan decreased progressively with the increase of the implant depth.At the subgingival implant depth of 5 or 7 mm,the use of an extended rod significantly improved the scan precision.Conclusion For single-tooth implant restoration of the mandibular posterior teeth,the implant depth can substantially affect the accuracy of digital impression,which decreases as the implant depth increases.For a deep implant,the use of a longer scanning rod can improve the scanning accuracy.
6.Influence of implant depth and scanning rod length on accuracy of digital impression for mandibular posterior single-tooth implant restoration
Shuyu SUN ; Xinyan ZHENG ; Hongqin GAN ; Ruixue TIAN ; Xiaofei XIE
Journal of Southern Medical University 2024;44(11):2250-2255
Objective To study the influence of implant depth and scanning rod lengths on the accuracy of digital impression for single-tooth implant restoration of the mandibular posterior teeth.Methods Five standard dental cast models with missing right mandibular first molar(46)were prepared with the subgingival implant depths of 0,1,3,5 and 7 mm.ITI RC and ITI RC H11 scanning rods were connected to the replacement body and placed into the seating tract for scanning.The reference data were obtained using a 3D dental scanner,and the experimental data were obtained by 10 scans of each model using a digitized intraoral scanner.Geomagic Wrap 2021 was used to analyze the model data to test the trueness and precision of the models.Results The trueness did not differ significantly among the groups(P>0.05).The implant depth of 1 mm achieved the highest impression precision(66.81±2.45 μm),and the depth of 0 mm resulted in a significantly lower precision(95.60±3.04 μm)than the depth of 1 and 3 mm.Starting from the subgingival depth of 1 mm,the precision of the scan decreased progressively with the increase of the implant depth.At the subgingival implant depth of 5 or 7 mm,the use of an extended rod significantly improved the scan precision.Conclusion For single-tooth implant restoration of the mandibular posterior teeth,the implant depth can substantially affect the accuracy of digital impression,which decreases as the implant depth increases.For a deep implant,the use of a longer scanning rod can improve the scanning accuracy.
7.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.
8.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.
9.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.
10.Changing resistance profiles of Proteus,Morganella and Providencia in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Yunmin XU ; Xiaoxue DONG ; Bin SHAN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Ping JI ; Fengbo 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 ; 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 ; Hongyan ZHENG ; 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 2024;24(4):410-417
Objective To understand the changing distribution and antimicrobial resistance profiles of Proteus,Morganella and Providencia in hospitals across China from January 1,2015 to December 31,2021 in the CHINET Antimicrobial Resistance Surveillance Program.Methods Antimicrobial susceptibility testing was carried out following the unified CHINET protocol.The results were interpreted in accordance with the breakpoints in the 2021 Clinical & Laboratory Standards Institute(CLSI)M100(31 st Edition).Results A total of 32 433 Enterobacterales strains were isolated during the 7-year period,including 24 160 strains of Proteus,6 704 strains of Morganella,and 1 569 strains of Providencia.The overall number of these Enterobacterales isolates increased significantly over the 7-year period.The top 3 specimen source of these strains were urine,lower respiratory tract specimens,and wound secretions.Proteus,Morganella,and Providencia isolates showed lower resistance rates to amikacin,meropenem,cefoxitin,cefepime,cefoperazone-sulbactam,and piperacillin-tazobactam.For most of the antibiotics tested,less than 10%of the Proteus and Morganella strains were resistant,while less than 20%of the Providencia strains were resistant.The prevalence of carbapenem-resistant Enterobacterales(CRE)was 1.4%in Proteus isolates,1.9%in Morganella isolates,and 15.6%in Providencia isolates.Conclusions The overall number of clinical isolates of Proteus,Morganella and Providencia increased significantly in the 7-year period from 2015 to 2021.The prevalence of CRE strains also increased.More attention should be paid to antimicrobial resistance surveillance and rational antibiotic use so as to prevent the emergence and increase of antimicrobial resistance.