1.Characteristics of retinal peripheral defocus in patients with unilateral myopia
Lu GAN ; Wentao DENG ; Shuping YANG ; Wuxiao ZHAO
International Eye Science 2026;26(4):573-578
AIM: To investigate the features of retinal peripheral defocus and its associated variables in unilateral myopia. METHODS: This cross-sectional study included consecutive anisometropic myopic patients who visited Center for Optometry and Visual Science from August 2023 to March 2025 in Guangxi Zhuang Autonomous Region. Eyes were classified based on spherical equivalent(SE)and uncorrected visual acuity(UCVA): myopic eyes(SE ≤-0.50 D, UCVA <0.2 LogMAR)and contralateral normal eyes(SE ≥-0.25, UCVA ≥0 LogMAR). Total relative defocus value(TRDV)across the visual field, RDV at 15°, 30°, and 45°(RDV-15, RDV-30, RDV-45), and quadrant-specific RDV(superior/RDV-S, inferior/RDV-I, temporal/RDV-T, nasal/RDV-N)were compared between groups.RESULTS: This study enrolled 81 anisometropic patients(81 myopic eyes, 81 contralateral normal eyes). The cohort comprised 42 males and 39 females, 47 patients aged 8-12 y and 34 patients aged 13-17 y(mean age: 11.8±2.4 y). Myopic eyes demonstrated significantly higher values in TRDV, RDV-30, RDV-45, RDV-I, RDV-S, RDV-N, and RDV-T versus contralateral normal eyes(all P<0.001). RDV-15 showed no significant difference between groups in either 8-12-year-olds or 13-17-year-olds(both P>0.05). Among 13-17-year-olds, RDV-S also exhibited no intergroup difference(P>0.05). All other parameters differed significantly across both age strata(all P<0.05). In myopic eyes, age positively correlated with TRDV(r=0.31, P=0.005), RDV-30(r=0.33, P=0.002), RDV-45(r=0.32, P=0.004), and RDV-N(r=0.37, P<0.001). In contralateral eyes, scotopic pupil diameter negatively correlated with TRDV(r=-0.25, P=0.03), RDV-45(r=-0.25, P=0.02), RDV-S(r=-0.29, P=0.008), and RDV-N(r=-0.27, P=0.014). And age positively correlated with RDV-N(r=0.30, P= 0.006), axial length positively correlated with RDV-T(r=0.30, P=0.006). CONCLUSION: The peripheral defocus of unilateral myopic eyes varies from that of their contralateral normal counterparts. The former presents hyperopic defocus, which augments with age, while the latter displays myopic defocus, which accentuates with the increase of the scotopic pupil size.
2.Clinical characteristics and prognostic analysis of elderly patients with acute myeloid leukemia
Gang ZHANG ; Xiaohui GAO ; Shuping MO ; Yan ZHOU ; Mengjie WU ; Haibing WU ; Xiaoyan ZHAO ; Minchao YAN ; Yuan LI ; Hui ZENG
China Modern Doctor 2025;63(22):1-4
Objective To investigate the clinical characteristics and prognostic risk factors in elderly patients with acute myeloid leukemia(AML).Methods A retrospective analysis was conducted on the clinical data of 101 elderly AML patients admitted to Affiliated Hospital of Jiaxing University from January 2022 to December 2024.All patients were treated with azacitidine+venetoclax regimen.The clinical characteristics of patients and the risk factors related to prognosis were explored.Results The median follow-up was 14 months.Among the 101 patients,74 achieved complete remission or complete remission with incomplete hematological recovery.The median overall survival(OS)of patients with aged ≥70 years,white blood cell count>50 × 109/L,TP53 mutation,complex chromosomes,and high-risk European leukemia net(ELN)risk stratification was significantly shortened(P<0.05).Multivariate analysis showed that age(HR=0.125,95%CI:0.023-0.662,P=0.015),white blood cell count(HR=0.145,95%CI:0.032-0.662,P=0.013),and ELN risk stratification(HR=100.397,95%CI:14.395-700.207,P<0.001)were all independent influencing factors for OS in elderly AML patients.Conclusion Age,white blood cell count and ELN risk stratification are all independent influencing factors affecting OS in elderly AML patients.
3.Clinical application value of combined focused ultrasound ablation surgery and hysteroscopy in the treatment of solitary type Ⅱ submucosal uterine fibroids with maximum diameter more than 5 cm
Hanying CHENG ; Changmei SANG ; Yanjun KANG ; Lei ZHAO ; Kun DING ; Shuping ZHAO
Chinese Journal of Obstetrics and Gynecology 2025;60(5):363-371
Objective:To explore the effectiveness and application value of focused ultrasound ablation surgery (FUAS) combined with hysteroscopic surgery in treating solitary type Ⅱ submucosal uterine fibroids with maximum diameter >5 cm.Methods:Clinical data of 35 patients with a single type Ⅱ submucosal uterine fibroid with maximum diameter greater than 5 cm who underwent FUAS combined with hysteroscopic surgery at Qingdao Women and Children′s Hospital from June 2020 to December 2023 were collected. The clinical characteristics, treatments and treatment outcomes were retrospectively analyzed.Results:(1) Clinical characteristics: the mean age of the 35 patients was (36.7±6.6) years, with a median maximum diameter of fibroids of 56 mm (range: 51-80 mm). All patients presented with symptoms of menorrhagia, median menstrual bleeding score was 5 points (ranged from 3 to 5 points), and 34 cases (97.1%, 34/35) had concomitant anemia, the mean hemoglobin was (83.1±13.8) g/L of 35 patients. (2) Treatments: all 35 patients underwent FUAS treatment initially, with a lesion ablation rate ranging from 69.7% to 97.9% (median:90.7%), and no complications occurred. After FUAS treatment, the volume of fibroids decreased in all patients, with a volume reduction rate ranging from 30.57% to 87.22% (median:76.03%). Hysteroscopic surgery was performed 3-14 months (median: 5 months) after FUAS to remove the necrotic fibroid tissue, achieving a 100.0% (35/35) fibroid resection rate. Only 1 patient developed complications of hyperhyderation syndrome during hysteroscopic surgery, and no complications occurred in the remaining patients. (3) Evaluation of efficacy: after FUAS pretreatment, the maximum diameter of fibroids in the 35 patients decreased significantly ( Z=-5.171, P<0.001), as did the volume of fibroids ( Z=-5.159, P<0.001). The hemoglobin level increased significantly compared to the level before FUAS in all cases ( t=-8.657, P<0.001), and median menstrual bleeding score decreased to 2 points (range: 1-3 points), significantly lower than original level ( Z=-5.292, P<0.001). At the 3-month follow-up after hysteroscopic surgery, all patients were free of anemia symptoms, with menstrual bleeding scores totally decreased to 1 point, significantly lower than that before hysteroscopic surgery ( Z=-4.786, P<0.001); hemoglobin level [(118.7±5.6) g/L] significantly increased compared to that before hysteroscopic surgery ( t=-9.258, P<0.001). All patients underwent gynecological transvaginal ultrasound re-examination, which did not reveal any residual fibroids. Conclusion:FUAS combined with hysteroscopic surgery is effective in treating solitary type Ⅱ submucosal uterine fibroids with maximum diameter >5 cm, providing a new treatment option for patients.
4.Cross-sectional investigation and analysis of the early warning threshold for intraoperative bleeding intervention during dilation and curettage in type Ⅱ cesarean scar pregnancy
Changmei SANG ; Qiuling SHI ; Yanjun KANG ; Zhibiao WANG ; Shuping ZHAO
Chinese Journal of Obstetrics and Gynecology 2025;60(10):782-787
Objective:To investigate nationwidely the alert threshold for intraoperative bleeding intervention during dilation and curettage (D&C) for type Ⅱ cesarean scar pregnancy (CSP) in the first trimester.Methods:A retrospective cross-sectional survey was conducted. From March 11 to April 14, 2022, obstetricians and gynecologists affiliated with professional associations or institutions of Family Planning Subgroup, Chinese Society of Obstetrics and Gynecology, Chinese Medical Associaton were surveyed using “Expert Consultation Questionnaire on Alert Threshold for Intraoperative Blood Loss in CSP”. The questionnaire was distributed via WeChat using the Questionnaire Star platform. Observation indicators included professional expertise of participants, preferred treatment modalities for type Ⅱ CSP, and an alert threshold for intraoperative bleeding during D&C.Results:A total of 361 valid questionnaires were collected. Among 361 participants, 73.7% (266/361) held the title of associate chief physician or higher, 61.2% (221/361) had ≥20 years of clinical experience, and 71.8% (178/248) worked in tertiary general hospitals. The most common treatment for type Ⅱ CSP was D&C following pretreatment with medication, uterine artery embolization (UAE), or high intensity focused ultrasound (HIFU), the percentage was 35.73% (129/361). 51.2% (185/361) of participants recommended an alert threshold of 100 ml for intraoperative bleeding during D&C. Cross-analysis revealed that participants managing <30 cases annually preferred ultrasound-guided D&C (32.0%, 56/175), those managing 30-99 cases or 100-199 cases per year favored pretreatment with medication, UAE or HIFU+D&C (39.0%, 55/141; 52.9%, 18/34), those managing ≥200 cases per year preferred hysteroscopic D&C (4/11). The most frequently selected alert threshold was 100 ml. In the subgroup analysis of participants with ≥100 cases annual admissions for CSP, 46.7% (21/45) of participants chose medication, UAE or HIFU pretreatment+D&C, while 53.3% (24/45) supported setting the alert threshold at 100 ml.Conclusions:The preferred treatment for type Ⅱ CSP is D&C following medication, UAE or HIFU pretreatment, with an intraoperative bleeding alert threshold of 100 ml. Timely alerts and proactive interventions could reduce injury severity, improve outcomes, and optimize CSP management strategies.
5.Changing resistance profiles of Haemophilus influenzae and Moraxella catarrhalis isolates in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Hui FAN ; Chunhong SHAO ; Jia WANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Yunsheng CHEN ; Qing MENG ; Hong ZHANG ; Chun WANG ; Fang DONG ; Wenqi SONG ; Kaizhen WEN ; Yirong ZHANG ; Chuanqing WANG ; Pan FU ; Chao ZHUO ; Danhong SU ; Jiangwei KE ; Shuping ZHOU ; Hua ZHANG ; Fangfang HU ; Mei KANG ; Chao HE ; Hua YU ; Xiangning HUANG ; Yingchun XU ; Xiaojiang ZHANG ; Wenen LIU ; Yanming LI ; Lei ZHU ; Jinhua MENG ; Shifu WANG ; Bin SHAN ; Yan DU ; Wei JIA ; Gang LI ; Jiao FENG ; Ping GONG ; Miao SONG ; Lianhua WEI ; Xin WANG ; Ruizhong WANG ; Hua FANG ; Sufang GUO ; Yanyan WANG ; Dawen GUO ; Jinying ZHAO ; Lixia ZHANG ; Juan MA ; Han SHEN ; Wanqing ZHOU ; Ruyi GUO ; Yan ZHU ; Jinsong WU ; Yuemei LU ; Yuxing NI ; Jingrong SUN ; Xiaobo MA ; Yanqing ZHENG ; Yunsong YU ; Jie LIN ; Ziyong SUN ; Zhongju CHEN ; Zhidong HU ; Jin LI ; Fengbo ZHANG ; Ping JI ; Yunjian HU ; Xiaoman AI ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Xuesong XU ; Chao YAN ; Yi LI ; Shanmei WANG ; Hongqin GU ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Jihong LI ; Bixia YU ; Cunshan KOU ; Jilu SHEN ; Wenhui HUANG ; Xiuli YANG ; Likang ZHU ; Lin JIANG ; Wen HE ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(1):30-38
Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91%of the total clinical isolates and 4.07%of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89%were isolated from children and 33.11%were isolated from adults.More than 90%of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79%in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06%were isolated from children and 19.94%isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0%.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.
6.Changing distribution and antimicrobial resistance profiles of clinical isolates in children:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Qing MENG ; Lintao ZHOU ; Yunsheng CHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Chuanqing WANG ; Aimin WANG ; Lei ZHU ; Jinhua MENG ; Hong ZHANG ; Chun WANG ; Fang DONG ; Zhiyong LÜ ; Shuping ZHOU ; Yan ZHOU ; Shifu WANG ; Fangfang HU ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Wei JIA ; Gang LI ; Kaizhen WEN ; Yirong ZHANG ; Yan JIN ; Chunhong SHAO ; Yong ZHAO ; Ping GONG ; Chao ZHUO ; Danhong SU ; Bin SHAN ; Yan DU ; Sufang GUO ; Jiao FENG ; Ziyong SUN ; Zhongju CHEN ; Wen'en LIU ; Yanming LI ; Xiaobo MA ; Yanping ZHENG ; Dawen GUO ; Jinying ZHAO ; Ruizhong WANG ; Hua FANG ; Lixia ZHANG ; Juan MA ; Jihong LI ; Zhidong HU ; Jin LI ; Yuxing NI ; Jingyong SUN ; Ruyi GUO ; Yan ZHU ; Yi XIE ; Mei KANG ; Yuanhong XU ; Ying HUANG ; Shanmei WANG ; Yafei CHU ; Hua YU ; Xiangning HUANG ; Lianhua WEI ; Fengmei ZOU ; Han SHEN ; Wanqing ZHOU ; Yunzhuo CHU ; Sufei TIAN ; Shunhong XUE ; Hongqin GU ; Xuesong XU ; Chao YAN ; Bixia YU ; Jinju DUAN ; Jianbang KANG ; Jiangshan LIU ; Xuefei HU ; Yunsong YU ; Jie LIN ; Yunjian HU ; Xiaoman AI ; Chunlei YUE ; Jinsong WU ; Yuemei LU
Chinese Journal of Infection and Chemotherapy 2025;25(1):48-58
Objective To understand the changing composition and antibiotic resistance of bacterial species in the clinical isolates from outpatient and emergency department(hereinafter referred to as outpatients)and inpatient children over time in various hospitals,and to provide laboratory evidence for rational antibiotic use.Methods The data on clinically isolated pathogenic bacteria and antimicrobial susceptibility of isolates from outpatients and inpatient children in the CHINET program from 2015 to 2021 were collected and analyzed.Results A total of 278 471 isolates were isolated from pediatric patients in the CHINET program from 2015 to 2021.About 17.1%of the strains were isolated from outpatients,primarily group A β-hemolytic Streptococcus,Escherichia coli,and Staphylococcus aureus.Most of the strains(82.9%)were isolated from inpatients,mainly SS.aureus,E.coli,and H.influenzae.The prevalence of methicillin-resistant S.aureus(MRSA)in outpatients(24.5%)was lower than that in inpatient children(31.5%).The MRSA isolates from outpatients showed lower resistance rates to the antibiotics tested than the strains isolated from inpatient children.The prevalence of vancomycin-resistant Enterococcus faecalis or E.faecium and penicillin-resistant S.pneumoniae was low in either outpatients or inpatient children.S.pneumoniae,β-hemolytic Streptococcus and S.viridans showed high resistance rates to erythromycin.The prevalence of erythromycin-resistant group A β-hemolytic Streptococcus was higher in outpatients than that in inpatient children.The prevalence of β-lactamase-producing H.influenzae showed an overall upward trend in children,but lower in outpatients(45.1%)than in inpatient children(59.4%).The prevalence of carbapenem-resistant Klebsiella pneumoniae(CRKpn),carbapenem-resistant Pseudomonas aeruginosa(CRPae)and carbapenem-resistant Acinetobacter baumannii(CRAba)was 14%,11.7%,47.8%in outpatients,but 24.2%,20.6%,and 52.8%in inpatient children,respectively.The prevalence of multidrug-resistant E.coli,K.pneumoniae,Proteus mirabilis,P.aeruginosa and A.baumannii strains was lower in outpatients than in inpatient children.The prevalence of fluoroquinolone-resistant E.coli,ESBLs-producing K.pneumoniae,ESBLs-producing P.mirabilis,carbapenem-resistant E.coli(CREco),CRKpn,and CRPae was lower in children in outpatients than in inpatient children,but the prevalence of CRAba in 2021 was higher than in inpatient children.Conclusions The distribution of clinical isolates from children is different between outpatients and inpatients.The prevalence of MRSA,ESBL,and CRO was higher in inpatient children than in outpatients.Antibiotics should be used rationally in clinical practice based on etiological diagnosis and antimicrobial susceptibility test results.Ongoing antimicrobial resistance surveillance and prevention and control of hospital infections are crucial to curbing bacterial resistance.
7.Surveillance of antimicrobial resistance in clinical isolates of Escherichia coli:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Shanmei WANG ; Bing MA ; Yi LI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Aimin WANG ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WEN ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(1):39-47
Objective To investigate the changing antibiotic resistance profiles of E.coli isolated from patients in the 52 hospitals participating in the CHINET program from 2015 to 2021.Methods Antimicrobial susceptibility was tested for clinical isolates of E.coli according to the unified protocol of CHINET program.WHONET 5.6 and SPSS 20.0 software were used for data analysis.Results Atotal of 289 760 nonduplicate clinical strains ofE.coli were isolated from 2015 to 2021,mainly from urine samples(44.7±3.2)%.The proportion of E.coli strains isolated from urine samples was higher in females than in males(59.0%vs 29.5%).The proportion of E.coli strains isolated from respiratory tract and cerebrospinal fluid samples was significantly higher in children than in adults(16.7%vs 7.8%,0.8%vs 0.1%,both P<0.05).The isolates from internal medicine department accounted for the largest proportion(28.9±2.8)%with an increasing trend over years.Overall,the prevalence of ESBLs-producing E.coli and carbapenem resistant E.coli(CREco)was 55.9%and 1.8%,respectively during the 7-year period.The prevalence of ESBLs-producing E.coli was the highest in tertiary hospitals each year from 2015 to 2021 compared to secondary hospitals.The prevalence of CREco was higher in children's hospitals compared to secondary and tertiary hospitals each year from 2015 to 2021.The prevalence of ESBLs-producing E.coli in tertiary hospitals and children's hospitals and the prevalence of CREco in children's hospitals showed a decreasing trend over the 7-year period.The prevalence of CREco in secondary and tertiary hospitals increased slowly.Antibiotic resistance rates changed slowly from 2015 to 2021.Carbapenem drugs(imipenem,meropenem)were the most active drugs amongβ-lactams against E.coli(resistance rate≤2.1%).The resistance rates of E.coli to β-lactam/β-lactam inhibitor combinations(piperacillin-tazobactam,cefoperazone-sulbactam),aminoglycosides(amikacin),nitrofurantoin and fosfomycin(for urinary isolates only)were all less than 10%.The resistance rate of E.coli strains to antibiotics varied with the level of hospitals and the departments where the strains were isolated,especially for cefazolin and ciprofloxacin,to which the resistance rate of E.coli strains from children in non-ICU departments was significantly lower than that of the strains isolated from other departments(P<0.05).The E.coli isolates from ICU showed higher resistance rate to most antimicrobial agents tested(excluding tigecycline)than the strains isolated from other departments.The E.coli strains isolated from tertiary hospitals showed higher resistance rates to the antimicrobial agents tested(excluding tigecycline,polymyxin B,cefepime and carbapenems)than the strains from secondary hospitals and children's hospitals.Conclusions E.coli is an important pathogen causing clinical infection.More than half of the clinical isolates produced ESBL.The prevalence of CREco is increasing in secondary and tertiary hospitals over the 7-year period even though the overall prevalence is still low.This is an issue of concern.
8.Study on quality standard of wine-processed Coptidis Rhizoma standard decoction
Huilin YANG ; Kaiwei HUANG ; Yanghua LI ; Suqin CAI ; Shuping XU ; Jiabao WEI ; Hui ZHANG ; Weizhi ZHAO ; Pei TAN
International Journal of Traditional Chinese Medicine 2025;47(9):1285-1292
Objective:To establish the quality standard of the standard decoction of wine-processed Coptidis Rhizoma by studying the extraction rate, fingerprint and component quantitative analysis.Methods:ccording to the Technical Requirements for Quality Control and Standard Formulation of Chinese Medicine Formula Granules, 15 batches of the standard decoction of wine-processed Coptidis Rhizoma were prepared, and the paste rate was determined; HPLC fingerprints of 15 batches of standard decoction of wine-processed Coptidis Rhizoma were established, and evaluated by combining similarity evaluation, clustering analysis, principal component analysis and orthogonal partial least squares discriminant analysis; the contents of berberine, epiberberine, pamadine, and safranine in the samples of the 15 batches were determined and analyzed their transfer rates.Results:A total of 15 batches of standard decoction samples were calibrated with 11 common peaks, referring to the recognition of 8 components. The similarity between the samples and the control product was greater than 0.900; the clustering analysis could cluster the 15 batches of samples into 2 classes; the results of the principal component analysis showed that the cumulative variance contribution rate of the 3 principal component factors was 89.388%; the OPLS-DA screened out the 3 components of the quality difference; the 15 batches of samples out of the paste rate was 15.7% -20.8%, and the mass fractions of berberine, epiberberine, safranine, and palmatine were 18.47%-24.38%, 2.82%-3.49%, 5.08%-6.69%, and 4.84%-6.68%, respectively, with transfer rates of 41.7%-61.7%, 46.9%-68.7%, 39.8%-61.5%, and 43.8%-65.2%.Conclusion:The fingerprint and content determination method established in this study is accurate, stable, simple, and can be used for the quality control and evaluation of the standard decoction of wine-processed Coptidis Rhizoma.
9.Changing prevalence and antibiotic resistance profiles of carbapenem-resistant Enterobacterales in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Wenxiang JI ; Tong JIANG ; Jilu SHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yuanhong XU ; Ying HUANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yingchun XU ; Xiaojiang ZHANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Hong ZHANG ; Chun WANG ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(4):445-454
Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43%(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38%,9.73%,and 8.47%,respectively.The prevalence of CRE strains in Escherichia coli was 1.99%.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)%,followed by blood(20.88±3.40)%and urine(18.40±3.45)%.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)%.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.
10.Changing distribution and antibiotic resistance profiles of the respiratory bacterial isolates in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Ying FU ; Yunsong YU ; Jie LIN ; 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 ; 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 WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(4):431-444
Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6%of the isolates were Gram-negative bacteria and 17.4%were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)%and(94.0±0.1)%,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P<0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9%.The prevalence of penicillin-resistant S.pneumoniae was 1.4%.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8%and 41.3%,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7%,20.8%,9.4%,29.8%,and 73.3%,respectively.The prevalence of β-lactamase was 96.1%in Moraxella catarrhalis and 60.0%in Haemophilus influenzae.The H.influenzae isolates from children(<18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P<0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.

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