1.Correlation between differences in starch gelatinization, water distribution, and terpenoid content during steaming process of Curcuma kwangsiensis root tubers by multivariate statistical analysis.
Yan LIANG ; Meng-Na YANG ; Xiao-Li QIN ; Zhi-Yong ZHANG ; Zhong-Nan SU ; Hou-Kang CAO ; Ke-Feng ZHANG ; Ming-Wei WANG ; Bo LI ; Shuo LI
China Journal of Chinese Materia Medica 2025;50(10):2684-2694
To elucidate the mechanism by which steaming affects the quality of Curcuma kwangsiensis root tubers, methods such as LSCM, RVA, dual-wavelength spectrophotometry, LF-NMR, and LC-MS were employed to qualitatively and quantitatively detect changes in starch gelatinization characteristics, water distribution, and material composition of C. kwangsiensis root tubers under different steaming durations. Based on multivariate statistical analysis, the correlation between differences in gelatinization parameters, water distribution, and terpenoid material composition was investigated. The results indicate that steaming affects both starch gelatinization and water distribution in C. kwangsiensis. During the steaming process, transformations occur between amylose and amylopectin, as well as between semi-bound water and free water. After 60 min of steaming, starch gelatinization and water distribution reached an equilibrium state. The content of amylopectin, the amylose-to-amylopectin ratio, and parameters such as gelatinization temperature, viscosity, breakdown value, and setback value were significantly correlated(P≤0.05). Additionally, the amylose-to-amylopectin ratio was significantly correlated with total free water and total water content(P≤0.05). Steaming induced differences in the material composition of C. kwangsiensis root tubers. Clustering of primary metabolites in the OPLS-DA model was distinct, while secondary metabolites were classified into 9 clusters using the K-means clustering algorithm. Differential terpenoid metabolites such as(-)-α-curcumene were significantly correlated with zerumbone, retinal, and all-trans-retinoic acid(P<0.05). Curcumenol was significantly correlated with isoalantolactone and ursolic acid(P<0.05), while all-trans-retinoic acid was significantly correlated with both zerumbone and retinal(P<0.05). Alpha-tocotrienol exhibited a significant correlation with retinal and all-trans-retinoic acid(P<0.05). Amylose was extremely significantly correlated with(-)-α-curcumene, curcumenol, zerumbone, retinal, all-trans-retinoic acid, and α-tocotrienol(P<0.05). Amylopectin was significantly correlated with zerumbone(P<0.05) and extremely significantly correlated with(-)-α-curcumene, curcumenol, zerumbone, retinal, all-trans-retinoic acid, and 9-cis-retinoic acid(P<0.01). The results provide scientific evidence for elucidating the mechanism of quality formation of steamed C. kwangsiensis root tubers as a medicinal material.
Curcuma/chemistry*
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Starch/chemistry*
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Multivariate Analysis
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Water/chemistry*
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Terpenes/analysis*
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Plant Roots/chemistry*
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Plant Tubers/chemistry*
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Drugs, Chinese Herbal/chemistry*
2.Clinical and immunological features for early differentiation between primary immune thrombocytopenia and connective tissue disease in children.
Fu-Rong KANG ; Mei YAN ; Ying-Bin YUE ; Hailiguli NURIDDIN ; Yong-Feng CHENG ; Yu LIU
Chinese Journal of Contemporary Pediatrics 2025;27(8):974-981
OBJECTIVES:
To investigate the clinical and immunological features of children with primary immune thrombocytopenia (pITP) or connective tissue disease (CTD) with thrombocytopenia as the initial manifestation at initial diagnosis, and to provide a basis for early differentiation.
METHODS:
A retrospective study was performed on 236 children with pITP (pITP group) or CTD with thrombocytopenia as the initial manifestation (CTD-TP group) who were admitted from January 2019 to August 2024. Clinical and immunological indicators were compared between the two groups to identify potential influencing factors for early differentiation and their discriminative validity.
RESULTS:
Compared with the pITP group, the CTD-TP group had a significantly older age of onset and significantly lower leukocyte count, eosinophil count, lymphocyte count, and complement C4 level (P<0.05), as well as significantly higher levels of C-reactive protein, IgE, and IgM (P<0.05). The logistic regression analysis showed that age, IgE, IgM, total B cells, and complement C4 were predictive factors for early differentiation between pITP and CTD-TP (P<0.05). The receiver operating characteristic curve analysis showed that a combination of these five factors had a good discriminative validity, with an area under the curve of 0.944. The correlation analysis showed a negative correlation between IgG and platelet count in the pITP group (rs=-0.363, P<0.05) and a positive correlation between NK cells and platelet count in the CTD-TP group (rs=0.713, P<0.05).
CONCLUSIONS
There is heterogeneity in the clinical and immunological indicators between children with pITP and CTD-TP at initial diagnosis, and these research findings can help with the early differentiation between the two diseases.
Purpura, Thrombocytopenic, Idiopathic/immunology*
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Diagnosis, Differential
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Connective Tissue Diseases/immunology*
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Retrospective Studies
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Early Diagnosis
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Age of Onset
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Leukocyte Count
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Complement C4/immunology*
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C-Reactive Protein/immunology*
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Immunoglobulin E/immunology*
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Immunoglobulin M/immunology*
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Humans
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Male
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Female
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Infant
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Child, Preschool
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Child
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Adolescent
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Biomarkers/blood*
3.Lumbar Spondylolysis in Chinese Adults: Prevalence and Musculoskeletal Conditions.
Dong YAN ; Yan Dong LIU ; Ling WANG ; Kai LI ; Wen Shuang ZHANG ; Yi YUAN ; Jian GENG ; Kang Kang MA ; Feng Yun ZHOU ; Zi Tong CHENG ; Xiao Guang CHENG
Biomedical and Environmental Sciences 2025;38(5):598-606
OBJECTIVE:
To determine the prevalence of lumbar spondylolysis (LS) and the proportion of spondylolytic spondylolisthesis (SS) in China, and to evaluate the musculoskeletal status of patients with LS and SS.
METHODS:
Spine Computed Tomography (CT) images were collected from community populations aged 40 and above in a nationwide multi-center project. LS was diagnosed, and SS was graded by an experienced radiologist. Bone mineral density (BMD) and paraspinal muscle parameters were quantified based on CT images.
RESULTS:
One hundred and seventeen patients of a total of 3,317 individuals were diagnosed with LS, corresponding to a prevalence rate of 3.53%. 63 of the 1,214 males (5.18%) and 54 of the 2,103 females (2.57%) were diagnosed with LS. SS occurred in 64/121 vertebrae (52.89%). BMD was not associated with LS ( P = 0.341). The L5 extensor paraspinal muscle density was higher in the LS group than in the non-LS group. In the LS group, patients with SS had a smaller L5 paraspinal extensor muscle cross-sectional area than those without SS ( P = 0.003).
CONCLUSION
The prevalence of LS in Chinese adults was 3.53%, with prevalence rates of 5.18% in males and 2.57% in females. Patients with LS have higher muscle density, whereas those with SS have smaller muscle cross-sectional areas at the L5 level.
Humans
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Male
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Female
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Middle Aged
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China/epidemiology*
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Prevalence
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Adult
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Lumbar Vertebrae/diagnostic imaging*
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Spondylolysis/diagnostic imaging*
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Aged
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Bone Density
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Tomography, X-Ray Computed
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Aged, 80 and over
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Spondylolisthesis/epidemiology*
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East Asian People
4.Clinical significance of corrected serum calcium level in newly-diagnosed multiple myeloma patients and analysis of influencing factors of concomitant hypercalcemia
Yujiao FENG ; Caili PEI ; Yan KANG
Journal of Leukemia & Lymphoma 2025;34(7):416-421
Objective:To explore the relationship between corrected serum calcium level and clinical characteristics in patients with newly-diagnosed multiple myeloma (MM), as well as the influencing factors of concomitant hypercalcemia.Methods:A retrospective case cohort study was conducted. The clinical data of newly-diagnosed MM patients who were admitted to Shanxi Province Cancer Hospital from January 2020 to December 2023 were collected. When serum albumin (ALB) was less than 40 g/L, the serum calcium level was corrected. The hypercalcemia group was defined as the corrected serum calcium level >2.60 mmol/L, the normal blood calcium group was defined as 2.20-2.60 mmol/L, and the hypocalcemia group was defined as <2.20 mmol/L; the combination of normal blood calcium group and hypocalcemia group was the non-hypercalcemia group. The age, gender, immune typing, ALB, blood urea nitrogen (BUN), serum creatinine (Scr), β 2-microglobulin (β 2-MG), and alkaline phosphatase (ALP) of patients in the hypercalcemia group and the non-hypercalcemia group were compared. Pearson correlation analysis was used for the correlation analysis. The logistic regression model was used to conduct multivariate analysis on the influencing factors of hypercalcemia. Results:Before correction, there were 31 cases (26.5%), 48 cases (40.0%) and 38 cases (32.5%) of MM patients in the hypocalcemia group, normal blood calcium group and hypercalcemia group, respectively. After correction, there were 17 cases (14.5%), 58 cases (49.6%) and 42 cases (35.9%), respectively. The corrected serum calcium level for male MM patients was (2.58± 0.41) mmol/L, while for females it was (2.53±0.38) mmol/L, and there was no statistically significant difference between the two groups ( t = 0.79, P > 0.05). The corrected serum calcium levels for patients in stage Ⅰ, stage Ⅱ and stage Ⅲ of the International Staging System (ISS) were (2.31±0.15) mmol/L, (2.52±0.37) mmol/L and (2.65±0.42) mmol/L, respectively, and the difference between the three groups was statistically significant ( F = 53.62, P < 0.01). Corrected serum calcium showed a negative correlation with patients' serum ALB ( r = -0.201, P < 0.05), and positive correlations with Scr, BUN and β 2-MG levels ( r values were 0.470, 0.247 and 0.469, respectively, all P < 0.01), but it had no correlation with age or ALP ( r values were -0.013 and 0.078, respectively, both P > 0.05). There were 15 cases (17.1%), 48 cases (54.5%) and 25 cases (28.4%) of patients with normal renal function in the hypocalcemia group, normal blood calcium group and hypercalcemia group, respectively; there were 2 cases (6.9%), 10 cases (34.5%) and 17 cases (58.6%) of patients with impaired renal function in the hypocalcemia group, normal blood calcium group and hypercalcemia group, respectively; there were statistically significant differences between the hypocalcemia group and the hypercalcemia group, as well as between the normal blood calcium group and the hypercalcemia group ( χ2 = 4.57, P < 0.05; χ2 = 6.67, P < 0.05), but there was no statistically significant difference between the hypocalcemia group and the normal calcium group ( χ2 = 0.29, P>0.05). The patients with approximately normal bone status in the hypocalcemia group, normal blood calcium group and hypercalcemia group were 3 cases (13.0%), 17 cases (74.0%) and 3 cases (13.0%), respectively, and the patients with bone damage were 14 cases (14.9%), 41 cases (43.6%), and 39 cases (41.5%), respectively, and there was a statistically significant difference between the normal blood calcium group and the hypercalcemia group ( χ2 = 7.48, P < 0.01), while there was no statistically significant difference between the hypocalcemia group and the hypercalcemia group ( χ2 = 1.46, P > 0.05). The proportions of patients with Scr > 177 μmol/L and β 2-MG > 3.5 mg/L in the hypercalcemia group were higher than those in the non-hypercalcemia group, and the differences were statistically significant (both P < 0.05). The results of logistic regression multivariate analysis showed that β 2-MG >3.5 mg/L was an independent risk factor for hypercalcemia in newly-diagnosed MM patients ( OR = 1.178, 95% CI: 1.058-1.311, P = 0.003). Conclusions:Corrected serum calcium level may be an important indicator for evaluating the severity of disease, renal function and bone status in newly-diagnosed MM patients.
5.Finite element analysis of titanium rods after vertebral column decancellation osteotomy for ankylosing spondylitis
Bao-Ke SU ; Yong-Qing WANG ; Zhi-Jie KANG ; Hai-Yan WANG ; Feng JIN ; Xiao-He LI ; Zhen-Hua CAO ; Jia-Xuan HUO ; Yong ZHU ; Feng LI
Acta Anatomica Sinica 2024;55(3):339-344
Objective To analyze the stress changes of thoracic vertebra(T)11-sacrum(S)titanium rods in patients with ankylosing spondylitis after vertebral column decancellation(VCD)osteotomy,and provide reference for the selection and improvement of titanium rods before surgery.Methods The original data of the continuous scanning tomographic images of patients with ankylosing spondylitis after VCD osteotomy were imported into Mimics 21.0 in DICOM format,and T11-S vertebrae,screws and titanium rods were respectively reconstructed.They were imported into 3-Matic to establish a preliminary geometric modeling,and then processed with noise removal,paving,smoothing,etc.The improved model was imported into Hypermesh 10 software for grid division,and the material was imported into ANSYS 19.2 to display the finite element model after attribute assignment,Set the boundary and load conditions,and measure the stress value at the connection between the screw and the titanium rod.Results Under neutral position,forward bending,lateral bending,and axial rotation conditions,the titanium rod had the highest stress at the upper vertebrae(T11)and the lowest stress at the top vertebrae(L3);Under the backward extension condition,the titanium rod has the highest stress at the lower end vertebra(L5).Conclusion In the upper and lower vertebrae,it is possible to consider increasing the diameter of the titanium rod,enhancing its hardness,or changing it to a double rod.
6.Morphologic analysis and measurement of the posterior superior iliac spine of the hip bone in adolescents based on CT three-dimensional reconstruction
Li-Rong SHA ; Zhi-Jie KANG ; Hai-Yan WANG ; Yuan FANG ; Xiao-He LI ; Feng JING ; Kai ZHANG ; Yun-Feng ZHANG ; Yong ZHU ; Tong-Tong YUE
Acta Anatomica Sinica 2024;55(6):721-727
Objective To establish a normal three-dimensional model of the hip bone in adolescents aged 10-19 years old,analyze the morphology and positional parameters of the posterior superior iliac spine of the hip bone among different genders,sides,and ages,which can supplement the study of the anatomical morphology of the hip bone and to provide a reference for the diagnosis of the clinically relevant diseases and for the therapeutic manipulation and localization of the hip bone.Methods Forty adolescent patients aged 10-19 years without previous spinal pelvic diseases were selected,and the pelvic CT image data were collected and imported into Mimics 21.0 software to establish the model.The relative position parameters of the posterior superior iliac spine and the surrounding anatomical landmarks included the length from the posterior superior iliac spine to the anterior superior iliac spine(ab),the length from the tip of the posterior superior iliac spine to the sciatica(ac),the length from the tip of the posterior superior iliac spine to the pubic tubercle(ae),the length from the tip of the posterior superior iliac spine to the midpoint of the posterior margin of the auricular joint surfaces(af),the length from the tip of the posterior superior iliac spine to the iliac spine turn(ag),and the length from the sciatica tubercle to the highest point of the iliac spine(cd).The local parameters of the posterior superior iliac spine included the width(W0)and the thickness(H0)at point A.The maximum width of the posterior iliac spine(WMAX),its distance from point a(D0),and the width of the iliac spine were measured at 0.5,1,and 1.5 cm from point a,and were recorded sequentially as W1,W2,and W3.The width of the iliac spine at the turn of the iliac spine(point g)was measured(W4).The relative positions and parameters of the posterior superior iliac spine to the surrounding anatomical landmarks and the localized parameters of the posterior superior iliac spine were compared sequentially for different genders,sides,and age groups.Results In the measurement result of the parameters of the posterior superior iliac spine and the surrounding anatomical landmarks,the differences in the comparisons between different genders of the ac,ae,and af indexes were statistically significant(P<0.05),and the differences in the comparisons between different genders of the ab,ag,and cd indexes were not statistically significant(P>0.05).The differences in the comparisons between the right and left sides of the ab,ac,ae,af,ag,and cd indexes were not statistically significant(P>0.05).The difference in comparison between different age groups of ab,ac,ae,af,ag,and cd indicators was statistically significant(P<0.05).In the measurement result of the local parameters of the posterior superior iliac spine,the difference in the comparison between the sexes of the W0,W1,W2,WMAX,and H0 indexes was statistically significant(P<0.05),and the difference in the comparison between the sexes of the W3,W4,and D0 indexes was not statistically significant(P>0.05);And the difference in the comparison between the left and right sides of the W0,W1,W2,and the right and left sides of the W3,W4,WMAX,D0,and H0 indexes was not statistically significant(P>0.05);The difference between W0,W1,W2,W3,W4,WMAX,D0,H0 indicators compared between different age groups was not statistically significant(P>0.05).Conclusion Adolescent females have overall greater pelvic parameters than males,with wider and thicker tips of the posterior superior iliac spine in females and narrower and thinner tips of the posterior superior iliac spine in males;Pelvic parameters show a tendency to increase with age,while the width and thickness of the posterior superior iliac spine,as well as the width of the cephalic end to the iliac spine remain essentially unchanged.
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.

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