1.Guidelines for standardized implementation of pharmacist-managed clinics (2026 edition)
Pengxiang ZHOU ; Maobai LIU ; Xiaoli DU ; Xiaoyang LU ; Mei DONG ; Rong DUAN ; Ruigang HOU ; Xiaoyu LI ; Qi CHEN ; Yanxiao XIANG ; Weiyi FENG ; Rong CHEN ; Deshi DONG ; Yong YANG ; Li LI ; Xiaocong ZUO ; Jinfang HU ; Hongliang ZHANG ; Qingchun ZHAO ; Qi LIN ; Yang HU ; Jiaying WU ; Rongsheng ZHAO
China Pharmacy 2026;37(9):1105-1112
OBJECTIVE To formulate Guidelines for the standardized implementation of pharmacist-managed clinics ( 2026 edition ) in response to the challenges faced by such clinics in China, including uneven development, large discrepancies in service specifications, insufficient patient awareness, and limited medical insurance coverage. METHODS Led by the Pharmaceutical Affairs Professional Committee of the Chinese Hospital Association, the Evidence-based Pharmacy Professional Committee of the Chinese Pharmaceutical Association, and the Hospital Pharmacy Professional Committee of the Cross-strait Medical and Health Exchange Association, a total of 19 domestic hospital pharmacy experts were organized. Through a systematic review of national policies and literature research, current practical experience was summarized. Consensus on the contents of the guidelines was reached after in-depth discussions. RESULTS &CONCLUSIONS The guidelines covered five sections: definition and connotation of pharmacist-managed clinics, establishment requirements, implementation and management, post competency, and practical research. Firstly, the definition and connotation included three operational forms of pharmacist-managed clinics (independent mode, physician-pharmacist joint mode, and online pharmacist-managed clinic mode) and classified service modes (specialty-specific, drug-specific, and disease-specific pharmacist-managed clinics). The establishment requirements were further refined, covering system construction (pharmaceutical service management system, quality control and assessment mechanism), personnel qualifications (professional credentials, continuing education and professional training, etc), service recipients, as well as service venues and facilities. Subsequently, the implementation and management of pharmacist-managed clinics were proposed, involving service procedures, intervention measures, documentation and records, patient education and follow-up, humanistic care, as well as risk management and quality control. Finally, post competency encompassed the competency requirements for pharmacists providing services in pharmacist-managed clinics, as well as the suggestions on teaching methods; practical research encouraged the conduct of high-quality pharmaceutical practice in the setting of pharmacist-managed clinics. The guidelines provide valuable guidance for the standardized implementation of pharmacist-managed clinics in China in terms of establishment, management, teaching, and research, fill the guideline gap in this field, and can promote the high-quality development of pharmacist-managed clinics.
2.Development of a nomogram model for risk factors of pre-myopia in school-aged children and the myopia control efficacy of plano defocus lenses
Juan DU ; Ping LIN ; Yijia ZHAO ; Dayong YAO
International Eye Science 2026;26(9):1524-1530
AIM: To analyze the risk factors for pre-myopia among school-aged children, develop a nomogram model based on these factors, and explore the efficacy of plano defocus lenses on myopia prevention and control.METHODS: A prospective randomized controlled clinical trial. School-aged children receiving physical examinations in the hospital between July 2024 and January 2025 were enrolled. All subjects were divided into the experimental group(children with pre-myopia)and the control group(children with normal refraction)according to the results of cycloplegic refraction and axial length measurement. Clinical data of the two groups were collected. Logistic regression analysis was adopted to identify the risk factors for pre-myopia, and a corresponding nomogram model was constructed. The children in the experimental group were further assigned to Group A(standard behavioral intervention+plano defocus lenses)and Group B(standard behavioral intervention alone)via the random number method. Ocular biological parameters and refractive indices before and after intervention were compared between groups.RESULTS: A total of 236 school-aged children were enrolled in this study, including 80 children in the experimental group(40 cases in group A and 40 cases in group B)and 156 children in the control group. The age of children in the experimental group was 8.88±1.11 y, with 27 males and 53 females. The age of children in the control group was 8.92±1.05 y, with 91 males and 65 females. Group A had an average age of 8.79±1.22 y(14 males and 26 females), and group B had an average age of 8.91±1.07 y(13 males and 27 females). Multivariate Logistic regression analysis revealed that parental myopia history, pencil-grip posture and duration of electronic device use were risk factors for pre-myopia among school-aged children(all P<0.05); daily outdoor activity duration and daily sleep duration were protective factors(all P<0.05). The nomogram model yielded an AUC of 0.970(95%CI: 0.951-0.990), with a sensitivity of 0.900 and specificity of 0.942. The calibration curve indicated nearly perfect linear calibration and good fitting performance. Decision curve analysis demonstrated high clinical applicability. SHAP summary plots showed that daily outdoor activity duration was the most critical factor affecting the onset of pre-myopia in school-aged children. After intervention with plano defocus spectacles, the axial length elongation in group A was significantly lower than that in group B(P<0.05). Choroidal thickness and cycloplegic spherical refraction were significantly higher, and uncorrected distance visual acuity(LogMAR)was significantly lower in group A compared with group B(all P<0.05).CONCLUSION: Parental myopia history, pencil-grip posture, and duration of electronic device use are risk factors for pre-myopia in school-aged children, while daily outdoor activity duration and daily sleep duration are protective factors. The nomogram constructed based on the above factors exhibits favorable predictive accuracy and can be applied for early screening of high-risk children. Plano defocus spectacles can slow axial length progression, stabilize refractive status, and exert positive effects on myopia prevention in school-aged children with pre-myopia.
3.Changing antimicrobial resistance profiles of Burkholderia cepacia in hospitals across China:results from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Chunyue GE ; Yunjian HU ; Xiaoman AI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; 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 ; 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 ; 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(5):557-562
Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1%(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5%,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3%(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1%)were isolated from sputum and respiratory secretions,followed by urine(10.7%)and blood samples(8.1%).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1%.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4%in the patients<18 years old to 20.6%in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.
4.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.
5.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.
6.Development of a Nomogram Prediction Model for Postoperative Recurrence of Ovarian Endometriosis after Conservative Surgery
Miao YU ; Jinchai ZHAO ; Huanyu JIN ; Congyu ZHOU ; Lin ZHANG ; Yanfang DU
Journal of Practical Obstetrics and Gynecology 2025;41(4):341-345
Objective:The prediction model of postoperative recurrence of ovarian endometriosis cyst(OEM)was constructed to provide a reference for evaluating postoperative recurrence of OEM patients.Methods:The clinical,pathological and follow-up data of 342 patients who underwent the initial laparoscopic ovarian cystectomy for OEM at The Second Hospital of Hebei Medical University from January 1,2017 to October 31,2021 were retro-spectively analyzed.Based on univariate and multivariate Cox regression analysis,the relevant factors affecting OEM recurrence were identified.According to the results of multivariate analysis,a nomogram was drawn.The C index and receiver operating characteristic(ROC)curve were used to test the efficiency of the prediction model.Results:The 2-year recurrence rate of OEM patients was 20.4%and the 5-year recurrence rate was 35.2%.Uni-variate and multivariate Cox regression analysis showed that menstrual cycle(HR 0.916,95%CI 0.860-0.976,P=0.006),delivery≥1(HR 0.376,95%CI 0.171-0.827,P=0.015),CA125≥100 U/ml(HR 1.790,95%CI 1.167-2.746,P=0.008),total cyst diameter≥10 cm(HR 2.254,95%CI 1.318-3.854,P=0.003),and postoperative medications(HR 0.434,95%CI 0.292-0.644,P=0.000)were associated with OEM recurrence and were included in the no-mogram prediction model.The C-index of the nomogram prediction model was 0.710(95%CI 0.665-0.754),and the area under the curve(AUC)of the ROC for OEM patients with recurrence at 2 years after surgery was 0.786 and 0.708 at 5 years.Conclusions:In this study,we developed a nomogram to predict the probability of recur-rence at 2 years and 5 years for OEM patients under 45 years who underwent conservative surgery,which has i-deal predictive performance and helps clinicians to screen high-risk patients,and thus give high-risk OEM patients additional attention and intervention.
7.Study on the efficacy and safety of Metformin hydrochloride enteric-coated capsules in patients with type 2 diabetes mellitus
Yiming WU ; Jian ZHANG ; Nan GU ; Qijuan DONG ; Ruiyun LIU ; Hong ZHANG ; Haixia LIU ; Yongcai ZHAO ; Lin CHENG ; Lianshan PU ; Fang BIAN ; Gang HE ; Quanmin LI ; Wei DU ; Zhaoling WANG ; Wei XU ; Liyong ZHONG ; Xiaohui GUO
Chinese Journal of Diabetes 2025;33(3):210-214
Objective To evaluate the efficacy and safety of enteric-coated metformin hydrochloride capsules(Junlida?)in patients with T2DM and poor glycemic control under lifestyle interventions.Methods In this study,419 patients with T2DM were recruited from 15 research centers from July 2020 to March 2022,and randomly divided into observation(Obs)group(n=209)and control group(Con,n=210)using a multicenter,randomized,double-blind,non-inferiority trial design.Patients in the Obs group were treated with enteric-coated Metformin hydrochloride capsules(Junlida?),and patients in the Con group were treated with Metformin hydrochloride tablets(Glucophage?).The optimal effective dose of 2 g/d was achieved within 4 weeks,and the reasonable dose was maintained until the end of treatment.The treatment period was 24 weeks.HbA1c and its compliance rate,FPG,and body weight were compared between the two groups in full analysis set(FAS)and protocol set(PPS).Safety and adverse events(AE)were evaluated in safety set(SS).Results A total of 414 participants were randomized(207 cases in Obs group and 207 cases in Con group).414 cases in FAS population(207 cases in Obs group and 207 cases in Con group),and 328 cases in PPS population(164 cases in Obs group and 164 cases in Con group),and 414 cases in SS population(207 cases in Obs group and 207 cases in Con group).After treatment,HbA1c,FPG and body weight were lower in both groups(P<0.05)in FAS and PPS.HbA1c compliance rate was not significantly different between the two groups in FAS and PPS(P>0.05).The results of non-inferiority test showed that the lower limit was>-0.4%in both FAS(-0.154,95%CI-0.384~0.069)and PPS(-0.139,95%CI-0.390~0.112),and the Obs group reached non-inferiority end point.The achievement rate,compliance rate,safety index and incidence of AE were not significantly different between the two groups(P>0.05).Conclusions Junlida? demonstrated non-inferiority to Glucophage? in glycemic control and can be safely and effectively used in patients with diabetes.
8."Outpatient+inpatient"bundled integrated payment on the utilization of health services for ordinary tuberculosis patients:An empirical analysis based on a city in Hebei Province
Peng-yu XU ; Yao YAO ; Lin-du ZHAO
Chinese Journal of Health Policy 2025;18(2):8-15
Objective:To examine the impact of the"outpatient+inpatient"bundled integrated payment reform on the utilization of health services for patients with ordinary tuberculosis,and to evaluate its effectiveness in resource allocation and cost containment.Methods:Based on the Andersen model,clinical and health insurance data from a city in Hebei Province were analyzed.An empirical study was conducted on 5 656 patients using Ordinary Least Squares(OLS)regression and Propensity Score Matching(PSM)to assess outpatient and inpatient service utilization and related costs.Results:Patients in the post-reform group showed a significant increase in outpatient visits and outpatient costs(an average increase of approximately 4.809 visits and 266.368 yuan,respectively,P<0.001),while inpatient visits,inpatient costs,and total medical costs significantly decreased(reductions of approximately 0.302 visits,3 638.647 yuan,and 3 372.279 yuan,respectively,P<0.001).Conclusion:The bundled integrated payment model effectively promotes outpatient service utilization,optimizes inpatient resource allocation,and reduces medical costs.However,the sharp increase in outpatient workload may pose a risk of overutilization.Recommendations:Future initiatives should establish a dynamic monitoring and evaluation system that emphasizes both service quality and clinical outcomes in outpatient and inpatient settings.Furthermore,refining incentive and regulatory mechanisms is essential to ensure that cost control measures do not compromise medical quality and patient safety.
9.Development of a Nomogram Prediction Model for Postoperative Recurrence of Ovarian Endometriosis after Conservative Surgery
Miao YU ; Jinchai ZHAO ; Huanyu JIN ; Congyu ZHOU ; Lin ZHANG ; Yanfang DU
Journal of Practical Obstetrics and Gynecology 2025;41(4):341-345
Objective:The prediction model of postoperative recurrence of ovarian endometriosis cyst(OEM)was constructed to provide a reference for evaluating postoperative recurrence of OEM patients.Methods:The clinical,pathological and follow-up data of 342 patients who underwent the initial laparoscopic ovarian cystectomy for OEM at The Second Hospital of Hebei Medical University from January 1,2017 to October 31,2021 were retro-spectively analyzed.Based on univariate and multivariate Cox regression analysis,the relevant factors affecting OEM recurrence were identified.According to the results of multivariate analysis,a nomogram was drawn.The C index and receiver operating characteristic(ROC)curve were used to test the efficiency of the prediction model.Results:The 2-year recurrence rate of OEM patients was 20.4%and the 5-year recurrence rate was 35.2%.Uni-variate and multivariate Cox regression analysis showed that menstrual cycle(HR 0.916,95%CI 0.860-0.976,P=0.006),delivery≥1(HR 0.376,95%CI 0.171-0.827,P=0.015),CA125≥100 U/ml(HR 1.790,95%CI 1.167-2.746,P=0.008),total cyst diameter≥10 cm(HR 2.254,95%CI 1.318-3.854,P=0.003),and postoperative medications(HR 0.434,95%CI 0.292-0.644,P=0.000)were associated with OEM recurrence and were included in the no-mogram prediction model.The C-index of the nomogram prediction model was 0.710(95%CI 0.665-0.754),and the area under the curve(AUC)of the ROC for OEM patients with recurrence at 2 years after surgery was 0.786 and 0.708 at 5 years.Conclusions:In this study,we developed a nomogram to predict the probability of recur-rence at 2 years and 5 years for OEM patients under 45 years who underwent conservative surgery,which has i-deal predictive performance and helps clinicians to screen high-risk patients,and thus give high-risk OEM patients additional attention and intervention.
10.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.

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