1.Transplacental digoxin treatment for fetal supraventricular arrhythmias: Insights from Chinese fetuses.
Chuan WANG ; Li ZHAO ; Shuran SHAO ; Haiyan YU ; Shu ZHOU ; Yifei LI ; Qi ZHU ; Xiaoliang LIU ; Hongyu DUAN ; Hanmin LIU ; Yimin HUA ; Kaiyu ZHOU
Chinese Medical Journal 2025;138(12):1499-1501
2.Research on diagnostic value of thrombin-antithrombin complex,thrombomodulin and tissue plasminogen activator-inhibitor complex for COVID-19
Fengwei GAO ; Lin ZHOU ; Xiaobao SHAO ; Hua WANG ; Yuan YANG ; Xin CHEN ; Yi LIU ; Peiyuan ZHU
Chinese Journal of Clinical Laboratory Science 2024;42(10):748-753
Objective To retrospectively analyze the diagnostic value of thrombin-antithrombin complex(TAT),thrombomodulin(TM),and tissue plasminogen activator-inhibitor complex(t-PAIC)in severe cases of corona virus disease 2019(COVID-19).Methods A cohort of 79 patients clinically diagnosed with COVID-19 was retrospectively assembled and categorized into two groups based on disease severity:non-severe(n=51)and severe(n=28).In this study the differences of coagulation function and inflamma-tory marker levels between the two groups were compared.The correlations of TAT,TM and t-PAIC with other biomarkers were investi-gated.The diagnostic values of all the markers for severe COVID-19 were assessed.Results The patients of severe COVID-19 exhibi-ted significantly higher levels of TAT,TM,and t-PAIC compared to those of non-severe group(P<0.001).The levels of TAT,TM and t-PAIC showed notable positive correlation with other biomarkers.TAT demonstrated the strongest positive correlation with the level of D-dimer(r=0.786,P<0.001).Binary logistic regression analysis identified TAT(OR=1.346,P<0.05)and t-PAIC(OR=1.128,P<0.05)were independent risk factors in term of severe COVID-19.The combined ROC curve for TAT,TM and t-PAIC revealed high diagnostic efficacy in severe cases with the area under the curve(AUCROC)were 0.918,and the sensitivity and specificity were of 75%and 94.1%,respectively.Conclusion The results of combined measurement of TAT,TM and t-PAIC effectively demonstrates its diagnostic value in identifying severity and stratification of COVID-19 cases and may have important clinical significance for assessment of the severity and prediction of the prognosis.
3.Feasibility study on quantifying retinal vascular features for predicting preeclampsia based on artificial intelligence models
Tianfan ZHOU ; Feixue SHAO ; Sheng WAN ; Chenchen ZHOU ; Sijin ZHOU ; Xiaolin HUA
Journal of Shanghai Jiaotong University(Medical Science) 2024;44(5):552-559
Objective·To explore the predictive capability of retinal vascular features in preeclampsia(PE)based on artificial intelligence(AI)models.Methods·This retrospective study enrolled 789 pregnant women who registered from June 2020 to January 2021 at Shanghai First Maternity and Infant Hospital of Tongji University in the first 16 weeks of gestation.These women underwent regular prenatal examinations,had retinal fundus images captured,and delivered singleton live births at the hospital.According to whether they developed hypertensive disorders of pregnancy(HDP),they were divided into unaffected group(n=685)and HDP group(n=104).Within the HDP group,pregnancies were further categorized into gestational hypertension(GH)group(n=36)and PE group(n=68)based on the occurrence of PE.Based on the gestational age at onset,the PE group was further divided into early-onset PE group(gestational age<34 weeks)and late-onset PE group(gestational age≥34 weeks).Fundus images of the pregnant women were obtained,and an AI algorithm was utilized to diagnose retinal lesions and quantify retinal vascular features.Comparative analyses were conducted on fundus features and retinal vascular features.Univariate Logistic regression model was employed to analyze the influencing factors of PE occurrence,and multivariate Logistic regression model was further utilized to assess the correlation between retinal vascular features and the occurrence of PE.The predictive capability of retinal vascular features for PE(both early-and late-onset PE)was analyzed by using area under the curve(AUC)of receiver operator characteristic curve(ROC curve).Results·The comparative analysis of fundus features and retinal vascular features demonstrated statistically significant differences between the unaffected group and PE group in terms of central retinal artery equivalent(CRAE),central retinal vein equivalent(CRVE),arteriole-to-venular ratio(AVR),retinal artery tortuosity and retinal artery fractal dimension(all P<0.05).Univariate Logistic regression analysis indicated that second-trimester mean arterial pressure(MAP),second-trimester estimated fetal weight(EFW),CRAE,CRVE,AVR,retinal artery tortuosity and retinal artery fractal dimension were the influencing factors for PE occurrence(all P<0.05).Multivariate Logistic regression analysis revealed that second-trimester EFW,CRAE,CRVE,AVR,retinal artery tortuosity and retinal artery fractal dimension were the protective factors for the occurrence of PE,while second-trimester MAP was the risk factor for PE(all P<0.05).The analysis of ROC curves revealed that maternal risk factors along with second-trimester prenatal examination data(including MAP and EFW)and retinal vascular features model had good predictive ability for PE[AUC(95%CI)=0.784(0.725-0.843),and this model exhibited better predictive capability for early-onset PE,with an AUC(95%CI)of 0.840(0.756-0.924).Conclusion·The integration of quantified retinal vascular features based on AI models with maternal risk factors and second-trimester prenatal examination data(including MAP and EFW)enables a more effective prediction of PE occurrence,particularly early-onset PE.
4.Analysis on clinical efficacy and influencing factors based on omadacycline treatment
Yi-Fan CHEN ; Zhou-Hua HOU ; Qin HU ; Yan HUANG ; Xiu-Juan MENG ; Chun-Jiang WANG ; Shao LIU
Chinese Journal of Infection Control 2024;23(9):1106-1113
Objective To explore the clinical efficacy and influencing factors of omadacycline(OMC)in the treat-ment of patients with infectious diseases.Methods Data about hospitalized patients who received OMC monothera-py or combination therapy at Xiangya Hospital of Central South University from January 2022 to December 2023 were analyzed retrospectively.The influencing factors for failure of OMC treatment was analyzed by univariate and multivariate logistic regression analysis.Results A total of 160 patients were included in analysis,with an overall effective treatment rate of 69.4%(n=111).After treatment with OMC,patients in effective group was observed that body temperature improved([36.83±0.52]℃ vs[37.85±0.92]℃,P<0.001),white blood cell count([7.78±4.07]× 109/L vs[10.06±6.49]× 109/L,P<0.001),procalcitonin([0.63±1.19]ng/mL vs[4.43±10.14]ng/mL,P=0.001),C-reactive protein([35.16±37.82]mg/L vs[105.08±99.47]mg/L,P<0.001),and aspartate aminotransferase([50.50±40.04]U/L vs[77.17±91.43]U/L,P=0.004)all decreased signifi-cantly.Only one patient had adverse reactions such as diarrhea,but treatment was not interrupted.Univariate ana-lysis showed that patients in failure treatment group had a higher acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ)score(17.0[9.5-22.0]vs 12.0[9.0-19.0],P=0.046)and sequential organ failure assessment(SOFA)score(7.0[4.5-10.0]vs 4.0[2.0-9.0],P=0.019).Multivariate analysis showed that end-stage liver disease(OR=77.691,95%CI:5.448-1 107.880,P=0.001),mechanical ventilation(OR=6.686,95%CI:1.628-27.452,P=0.008)and the combination treatment of vancomycin(OR=6.432,95%CI:1.891-21.874,P=0.003)were risk factors for the failure of OMC treatment,while the course of OMC treatment(OR=0.905,95%CI:0.825-0.994,P=0.037)was a protective factor for the effective treatment.Conclusion OMC can be used as an alternative therapy for refractory severe infection,with fewer adverse reaction.End-stage liver disease,mechanical ventilation and combination treatment of vancomycin are risk factors for failure of OMC treatment in in-fected patients.Adequate OMC treatment course can improve patients'clinical outcome,large-scale case studies are needed to confirm the initial conclusion.
5.Comparative study of total hip arthroplasty with and without femoral osteotomy in Crowe Ⅳ developmental dysplasia of the hip
Bo SUN ; Ke-Wei LI ; Ying-Zhou HOU ; Jin-Liang WANG ; Xuan WEI ; Shao-Hua WANG
China Journal of Orthopaedics and Traumatology 2024;37(10):972-977
Objective To compare the clinical effects of total hip arthroplasty(THA)with and without femoral osteotomy in Crowe Ⅳ developmental hip dislocation(DDH).Methods The data on 46 patients who underwent THA for unilateral Crowe ⅣDDH between 2012 and 2017 were analyzed retrospectively.They were divided into two groups according to the different surgical methods.There were 24 patients in the osteotomy group,3 males and 21 females,with an average age of(47.3±9.0)years old ranged from 34 to 57 years old;and 22 patients in the non-osteotomy group,2 males and 20 females,with an average age of(51.6±8.3)years old ranged from 40 to 61 years old.The operative time,bleed loss,postoperative drainage volume,postoperative com-plications,ROM of hip,Harris hip score,limb length discrepancy(LLD),and radiological data were recorded.The femoral dislo-cation height and the implantation depth of sleeve were measured.Results All patients were followed up.The mean follow-up time was(3.8±1.2)years ranged from 2 to 6 years in the osteotomy group and(3.2±0.9)years ranged from 1 to 5 years in the non-os-teotomy group.The operative time(136.8±18.9)min,bleed loss(709.8±89.4)ml,postoperative drainage volume(308.8±98.2)ml of osteotomy group were all significantly greater than those of non-osteotomy group(100.7±15.8)min,(516.5±103.3)ml,(245.3±79.3)ml(P<0.05).The Harris score at the latest follow up was significantly increased compared with preoperative score in two groups(P<0.05),but there was no significant difference between two groups(P>0.05).The LLD at last follow up was sig-nificantly increased compared with preoperative LLD in two groups,the LLD in non-osteotomy group(0.7±0.2)cm showed signif-cant smaller than the two osteotomy group(1.2±0.4)cm.Between osteotomy and non-osteotomy groups,the preoperative range of motion of hip joint[(89.5±19.7)°vs(102.5±16.8)°],the preoperative height of dislocation of femoral head[(4.56±0.61)cm vs(3.10±0.73)cm],the proximal implant depth of S-ROM[(0.93±0.36)cm vs(1.67±0.28)cm]was significantly different(P<0.05).Eleven patients in the osteotomy group still had claudication,and 4 patients in the non-osteotomy group had mild claudica-tion(P<0.05).In non-osteotomy group,3 patients developed nerve injury(1 patient of sciatic nerve,2 patients of femoral nerve)and 1 case developed periprosthetic fracture.In osteotomy group,2 case of dislocation and 2 cases of periprosthetic fractures.Conclusion Whether osteotomy or not can achieve satisfactory results for treating Crowe type Ⅳ DDH and significantly improve LLD.However,osteotomy is more complex and time-consuming,limb length difference is greater,and the incidence of claudica-tion is higher.Furthermore,patients with smaller preoperative hip mobility,higher femoral dislocation,limb lengthening≥4 cm and severely narrow femoral proximal canals are prone to be peformed with subtrochanteric osteotomy.
6.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.
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.

Result Analysis
Print
Save
E-mail