1.Construction and Clinical Validation of a Deep Learning-Based Automatic Measurement Model for Palmar Tilt and Radial Inclination in Distal Radius Fractures
Guoda DAI ; Jianwei WANG ; Mao WU ; Bin KANG ; Yang SHAO ; Hengyan CUI ; Shaoshuo LI ; Tingchen ZHU ; Zhen HUA ; Zhongming SHEN ; Jintao LIU ; Ming ZHOU
Journal of Traditional Chinese Medicine 2026;67(10):1093-1100
ObjectiveTo construct an automatic measurement model for palmar tilt and radial inclination suitable for traditional Chinese medicine (TCM) clinical scenarios, and to validate its accuracy and efficiency in TCM manipulative reduction settings. MethodsData on anteroposterior (AP) and lateral X-rays of distal radius fractures were collected from patients admitted to 18 TCM/ integrated TCM and western medicine hospitals in Jiangsu province between September 1st, 2023, and September 1st, 2024, via the Jiangsu Diagnosis and Treatment Big Data Platform for TCM Dominant Diseases. A medical image segmentation framework based on multi-scale feature fusion and edge-awareness was employed, combined with anatomical knowledge specific to TCM orthopedics, to optimize the feature extraction strategy of an artificial intelligence (AI) model. This framework enabled automatic segmentation of fracture regions and measurement of distal radius palmar tilt and radial inclination. The accuracy of the AI model in measuring radial inclination and volar tilt was validated, and the measurement time and average time gain rate of the AI model were compared to those of manual measurement. ResultsA total of 15,444 AP and lateral X-ray images of distal radius fractures were collected, and were divided into a training set (11,144 images, 5066 AP and 6078 lateral), a validation set (3700 images, 1840 AP and 1860 lateral), and an independent test set (600 images, 300 AP and 300 lateral) after preprocessing. In the measurement of 300 AP X-rays in the independent test set for radial inclination, when the degree error between AI measurement and manual measurement was <3° and <5°, AI measurement accuracy was 83% and 93%, respectively. In 300 lateral X-rays in the test set for palmar tilt, when AI measurements had an error of <3° and <5° compared to manual measurements, corresponding accuracy rate was 78% and 90%, respectively. For 50 X-ray images, AI measurement time was (1.37±0.05) min for radial inclination while manual measurement time was (22.57±2.52) min (P<0.001); in terms of palmar tilt, the AI measurement time was (1.33±0.14) min, shorter than (23.70±2.80) min for manual measurement time (P<0.001). Average time gain rates for manual and AI measurements were 93.93% and 94.39% respectively. ConclusionAn automatic measurement model for palmar tilt and radial inclination in distal radius fractures has been established, enabling more accurate and efficient assessment as well as providing a tool to support the quantitative evaluation of the efficacy of TCM manipulative reduction and large-sample clinical research.
2.Evaluation of the quality of Jingangteng capsules based on UPLC fingerprinting combined with multi-component content determination
Li SHEN ; Yue SHEN ; Yuying YANG ; Dandan ZHANG ; Yuxi WU ; Xuxiang ZHOU ; Jingyu YANG ; Peng HU ; Lei WANG ; Heming WU ; Dan LIU ; Xiaochuan YE
China Pharmacy 2026;37(10):1290-1294
OBJECTIVE To establish the UPLC fingerprint and the method for multi-component content determination in Jingangteng capsules, and to evaluate its quality by combining chemical pattern recognition analysis. METHODS An UPLC method was established. Separation was performed on a Zorbax SB-C 18 Rapid Resolution HD column, with acetonitrile-0.1% formic acid as the mobile phase for gradient elution.Using the Similarity Evaluation System for Chromatographic Fingerprints of Traditional Chinese Medicines (2012 edition), UPLC fi ngerprints were established for 10 batches of Jingangteng capsules, and similarity was evaluated. SPSS 22.0 and SIMCA 14.1 software were used to perform hierarchial-cluster analysis and orthogonal partial least squares discriminant analysis (OPLS-DA), respectively. The same UPLC method was employed to determine the contents of chlorogenic acid, 3,5-dihydroxy-2-methylbenzoic acid-3- O -glucoside (M1), caffeic acid, astilbin, oxyresveratrol, quercitrin and resveratrol in the 10 batches of samples. RESULTS A total of 17 common peaks were identified in UPLC fingerprints of the 10 batches of samples, of which 7 were identified as chlorogenic acid, M1, caffeic acid, astilbin, oxyresveratrol, quercitrin, and resveratrol. The similarities of 10 batches of samples ranged from 0.820 to 0.985. The results of hierarchial-cluster analysis showed that 10 batches of samples were grouped into four categories: S1-S4 formed one group, S5 and S6 formed another, S7, S8 and S10 formed a third, and S9 formed a fourth, consistent with the OPLS-DA results; the variable importance projection values for peaks 7, 10, 2, 16 (resveratrol), 13 (oxyresveratrol), 11, 6 (caffeic acid), 5 (M1) and 15 (quercitrin) were >1. Quantitative analysis results showed that the contents of chlorogenic acid, M1, caffeic acid, astilbin, oxyresveratrol, quercitrin, and resveratrol were 1.650 8-4.213 7, 0.636 2-2.161 7, 0.031 0-0.086 5, 0.239 1-1.069 3, 0.211 9-1.104 0, 0.488 8-2.399 2, and 0.164 0-0.699 8 mg/g, respectively. CONCLUSIONS UPLC fingerprint and content determination methods established in this study are simple to operate, accurate, reliable and reproducible; when combined with chemical pattern recognition analysis, they can be used to evaluate the quality of Jingangteng capsules. Nine components, such as resveratrol, oxyresveratrol, caffeic acid, M1 and quercitrin, may serve as markers of quality variation.
3.Optimization of osmotic pressure swelling method in the process of hemoglobin extraction from red blood cells
Honghui ZHANG ; Wentao ZHOU ; Shasha HAO ; Hong WANG ; Jiaxin LIU ; Chengmin YANG ; Shen LI ; Fengjuan LI
Chinese Journal of Blood Transfusion 2025;38(1):91-96
[Objective] To extract hemoglobin (Hb) from red blood cells using osmotic pressure swelling method, expected to achieve a hemoglobin dissolution rate of ≥80% and a cell membrane integrity rate of ≥70%. [Methods] Human umbilical cord blood red blood cells were used as raw materials and phosphate buffer solution was used as the swelling solution for red blood cells. A three factor three-level orthogonal experiment (n=3) was conducted to determine the optimal matching conditions for selecting the osmolality molar concentration of phosphate buffer solution, pH value of hypotonic phosphate buffer solution and volume ratio of hypotonic phosphate buffer solution to washed red blood cells. Red blood cell swelling solution samples (n=6) were prepared by the optimal matching conditions and the original process conditions. The hemoglobin dissolution rate and cell membrane integrity rate were checked. In the expanded comparative experiment, red blood cell swelling solution samples (n=6) were prepared by the optimal matching conditions and the original process conditions, which was filtered by ultrafiltration membranes. The filtration time and hemoglobin yield were checked. [Results] The optimal matching conditions for preparing red blood cell swelling solution were obtained through orthogonal experiment as follows: osmotic pressure molar concentration was 30 mOsmol/Kg, pH was 7.8, and phosphate buffer to red blood cell volume ratio was 6∶1. On the basis of the above conditions, the red blood cell swelling solution sample was compared with the original process sample: the hemoglobin dissolution rate was (82.4±1.8)% vs (78.6±3.0)% (P<0.05), and the cell membrane integrity rate was (65.8±4.0)% vs (28.7±2.3)% (P<0.05). In the expanded comparative experiment, the optimal matching conditions were compared with the original process conditions: filtration time(s) (327±9) vs (434±13) (P<0.05), and hemoglobin yield was (72.3±1.2)% vs (66.0±1.4)% (P<0.05). [Conclusion] Compared with the original preparation process, the hemoglobin extraction process which optimized through orthogonal experiments greatly reduces the cell membrane fragmentation rate and minimizes the entry of cell membrane matrix into the target solution, ensuring a slightly higher hemoglobin dissolution rate, and reducing the preparation difficulty for the subsequent cell membrane separation and further purification.
4.The renoprotective effect of Salvia miltiorrhiza injection on HBOC-CHP01 resuscitated haemorrhagic shock rats
Shasha HAO ; Xintong XIE ; Shen LI ; Honghui ZHANG ; Hong WANG ; Chengmin YANG ; Wentao ZHOU ; Jiaxin LIU
Chinese Journal of Blood Transfusion 2025;38(2):172-180
[Objective] To investigate the protective effect of Salvia miltiorrhiza injection (SMI) on the kidneys of HBOC-CHP01 resuscitated haemorrhagic shock rats. [Methods] A 50% haemorrhagic shock rat model was established, with 12 rats divided into two groups: SMI + HBOC-CHP01 group and HBOC-CHP01 group, with 6 rats in each group. The rats in the SMI+ HBOC-CHP01 group were given an equal volume of HBOC-CHP01 for resuscitation after haemorrhagic shock, and an 8 mL/kg dose of SMI. Rats in the HBOC-CHP01 group were resuscitated by administering an equilibrium blood loss volume of HBOC-CHP01 and given an 8 mL/kg dose of 0.9% NaCl solution. Blood was taken from rats at five points: before bloodletting (baseline), during haemorrhagic shock (HS), immediately after resuscitation (RS0h), 1 h after resuscitation (RS1h), and 24 h after resuscitation (RS24h). A blood gas analyser was used to detect the lactate level (Lac), glucose content (Glu), residual base (BEecf), pH, bicarbonate (HCO3-), high iron haemoglobin (MetHb). White blood cells (WBC), platelets (PLT), haemoglobin content (Hb), carboxyhaemoglobin (COHb) were detected using a quintuple classification. Blood creatinine (SCr), uric acid (UA), kidney-related indexes were detected using biochemistry instrument. Kidney tissues of the rats were taken after 24 h of resuscitation and after execution, and the inflammation of kidneys of the rats of the two groups was analyzed using HE staining. Fluorescence staining was used to detect the level of ROS in the kidneys of rats in both groups. [Results] At RS 0h, the Beecf, Glu and Lac levels of rats in the SMI+HBOC-CHP01 group were significantly lower than those of rats in the HBOC-CHP01 group, and the pH level of rats in the SMI+HBOC-CHP01 group was significantly higher than that of rats in the HBOC-CHP01 group, and the Glu levels of rats in the SMI+HBOC-CHP01 group were significantly lower than those of rats in the HBOC-CHP01 group at RS 1h. At RS 0h, the WBC, PLT and COHb contents of rats in the SMI+HBOC-CHP01 group were all significantly higher than those of rats in the HBOC-CHP01 group, and at RS 1h, the WBC content of rats in the SMI+HBOC-CHP01 group was significantly higher than that of rats in the HBOC-CHP01 group; at RS 1h, the UA content of rats in the SMI+HBOC-CHP01 group was significantly lower than that of rats in the HBOC-CHP01 group; at RS 24h, the SCr content of rats in the SMI+HBOC-CHP01 group was significantly lower than that of rats in the HBOC-CHP01 group; at RS 24h, the inflammation level of kidney tissues of rats in the SMI+HBOC-CHP01 group was significantly lower than that of rats in the HBOC -CHP01 group rats, and the ROS and MPO levels in the kidney tissues of rats in the SMI+HBOC-CHP01 group were significantly lower than those of rats in the HBOC-CHP01 group. [Conclusion] The combination of Salvia miltiorrhiza injection during the resuscitation of rats with severe haemorrhagic shock by HBOC-CHP01 can alleviate renal injury by reducing inflammatory response and oxidative stress.
5.Differentiation and Treatment of Lipid Turbidity Disease Based on Theory of "Spleen Ascending and Stomach Descending"
Yun HUANG ; Wenyu ZHU ; Wei SONG ; Xiaobo ZHANG ; Xin ZHOU ; Lele YANG ; Tao SHEN
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(3):244-252
Lipid turbidity disease is a metabolic disease featuring lipid metabolism disorders caused by many factors such as social environment, diet, and lifestyle, which is closely related to many diseases in modern medicine, such as hyperlipidemia, obesity, fatty liver, atherosclerosis, metabolic syndrome, and cardiovascular and cerebrovascular diseases, with a wide range of influence and far-reaching harm. According to the Huangdi Neijing, lipid turbidity disease reflects the pathological change of the body's physiologic grease. Grease is the thick part of body fluids, which has the function of nourishing, and it is the initial state and source of important substances in the human body such as brain, marrow, essence, and blood. Once the grease of the human body is abnormal, it can lead to lipid turbidity disease. The Huangdi Neijing also points out the physiological relationship between the transportation and transformation of body fluids and the rise and fall of the spleen and stomach, which can deduce the pathological relationship between the occurrence of lipid turbidity disease and the abnormal rise and fall of the spleen and stomach functions. Lipid turbidity disease is caused by overconsumption of fatty and sweet foods or insufficient spleen and stomach endowments, leading to disorders of the function of promoting clear and reducing turbidity in the spleen and stomach. This leads to the transformation of thick grease in body fluids into lipid turbidity, which accumulates in the body's meridians, blood vessels, skin pores, and organs, forming various forms of metabolic diseases. The research team believed that the pathological basis of lipid turbidity disease was the abnormal rise and fall of the spleen and stomach and the obstruction of the transfer of grease. According to the different locations where lipid turbidity stays, it was divided into four common pathogenesis types: ''inability to distinguish between the clear and turbid, turbid stagnation in the Ying blood'', ''spleen not rising clear, turbid accumulation in the vessels'', ''spleen dysfunction, lipid retention in the pores'', ''spleen failure to transportation and transformation, and grease accumulation in the liver''. According to the pathogenesis, it could be divided into four common syndromes, namely, turbid stagnation in the Ying blood, turbid accumulation in the vessels, lipid retention in the pores, and grease accumulation in the liver, and the corresponding prescriptions were given for syndrome differentiation and treatment, so as to guide clinical differentiation and treatment of the lipid turbidity disease.
6.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.
7.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.
8.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.
9.Correlation analysis of alternative splicing regulator ARL6IP4 expression with the pathological characteristics and clinical prognosis in colon cancer
Yong YANG ; Jintao TANG ; Zhengyang HAN ; Shen XUE ; Zhiyun ZHANG ; Wenbo ZHOU ; Wu CHEN
Chinese Journal of Clinical and Experimental Pathology 2025;41(7):886-891
Purpose To investigate correlation of ADP ribosylation-like factor 6 interacting protein 4(ARL6IP4)expression with the pathological characteristics and clinical prognosis in primary colon cancer.Methods The ARL6IP4 mRNA expression in tumor and adjacent normal tissues of 133 colon cancer patients was analyzed by RT-qPCR,and its relationship with tumor location,pathological TNM stage,and 3-year survival prognosis was assessed.Additionally,ARL6IP4 protein expression was analyzed by immunohistochemistry in 30 cases,of which 16 cases were analyzed by immunofluorescence.Results The colon cancer presented significantly higher mRNA and protein levels of ARL6IP4 than adjacent normal tissues(t=4.221,P=5.200 × 10-5;t=7.421,P=3.537 × 10-8).The relative ex-pression level of ARL6IP4 mRNA in colon cancer was positively correlated with pathological TNM stage,N stage and M stage(P<0.05),and negatively correlated with 3-year cumulative survival probability(P<0.01).Additionally,sig-moid colon cancer presented significantly higher ARL6IP4 expression than other colon cancers,and at the cellular lev-el,ARL6IP4 was predominantly expressed in the cell nucleus.Conclusion The ARL6IP4 expression in colon cancer is higher than that in adjacent normal tissues,which is closely related to tumor metastasis and clinical prognosis.
10.High-risk factors for early postoperative recurrence in patients with colorectal cancer liver metastasis
Leibin SHEN ; Mian YANG ; Liangbin JIN ; Tao PENG ; Bo ZHOU ; Jiaze SUN ; Jiazi YU
Chinese Journal of General Surgery 2025;40(3):207-212
Objective:To investigate the high-risk factors for early postoperative recurrence in patients with colorectal cancer liver metastasis (CRLM).Methods:The clinical data of 156 CRLM patients who underwent hepatic metastasectomy at the Li Huili Hospital, Ningbo University from Jan 2015 to Dec 2021 was retrospectively analyzed.Results:Among 156 patients, the postoperative recurrence rate was 55.8% (87/156).There were significant differences ( P<0.05) in the primary tumor site, T stage, TBS score, preoperative concentrations of CEA, CA199 and CA125, the maximum diameter of metastatic tumors and the number of metastatic tumors between the group with recurrence in one year and the group without recurrence in one year. Multivariate analysis showed that preoperative CA125 concentration ( OR=1.021, P=0.020), CEA concentration ( OR=1.044, P=0.018), and tumor burden score ( OR=3.067, P=0.011) were high risk factors influencing early recurrence ( P<0.05). In the low TBS score group(≤4), among the 49 patients who underwent simultaneous resection, 13 suffered from recurrence within 1 year, with a recurrence rate of 26.5%. Meanwhile, among the 29 patients who underwent staged resection, 17 suffered from recurrence within 1 year, with a recurrence rate of 58.6% ( P<0.05). In the high TBS score group(>4), among the 51 patients who underwent simultaneous resection, 37 suffered from recurrence within 1 year, with a recurrence rate of 72.5%, while in the 27 patients who underwent staged resection, 20 suffered from recurrence within 1 year, with a recurrence rate of 74.1% ( P>0.05). Conclusions:Preoperative TBS score, preoperative CA125 concentration, and CEA concentration are high-risk factors for postoperative recurrence in patients with colorectal liver metastases, simultaneous resection in patients with a low TBS score can reduce the risk of recurrence within 1 year after surgery.

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