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.Formulation and Analysis of Clinical Pharmacist Training Standard
Ping LIN ; Jiancun ZHEN ; Jin LU ; Wei ZHANG ; Dan MEI ; Ling JIANG ; Xiaoyang LU ; Ting XU ; Peiyuan XIA ; Pengmei LI ; Jing LIU
Herald of Medicine 2025;44(3):408-411
Clinical pharmacist training is an important way to strengthen the clinical pharmacist team's construction and improve their pharmaceutical service capabilities and levels.The Pharmacy Administration and Pharmacy Practice in Healthcare Institutions-Part 4-8-1:Pharmacy Administration-Pharmacy Training Management-Clinical Pharmacist Training was based on the relevant requirements of the current clinical pharmacist training system of the Chinese Hospital Association,and formulated by sor-ting out relevant materials,such as standards,policies and regulations,technical specifications,literature,the current situation of clinical pharmacist training in China,and expert opinions.A total of 15 key elements of clinical pharmacist training were selected and divided into three aspects(base management,training process and assessment,and the quality management,evaluation and improvement).This article mainly introduced the construction method and content of the clinical pharmacist training standard,to deepen the understanding of the standard for relevant units and to promote the implementation of the standard.
3.Chinese interpretation of PROBAST+AI: An updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods
Xingmeng WANG ; Guohua DAI ; Wulin GAO ; Hui GUAN ; Lili REN ; Chen CHEN ; Xiaoyang TAN ; Yiming LIN
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(12):1686-1695
The development and validation of clinical prediction models based on artificial intelligence (AI) and machine learning methods have become increasingly widespread. However, the prediction model bias risk and applicability evaluation tool developed in 2019 (i.e., PROBAST-2019) has shown significant limitations. Therefore, an expanded and updated version of the PROBAST-2019 tool was released in 2025, known as the PROBAST+AI tool. The tool is divided into two parts including model development and model evaluation. It aims to comprehensively and systematically evaluate potential methodological quality issues in model development, bias risks in model evaluation, and the applicability of models, regardless of the modeling method used. This paper provides a systematic interpretation of the PROBAST+AI tool's items and case analyses, with the aim of guiding and assisting researchers engaged in related studies and promoting the high-quality development of clinical predictive model research.
4.A practice guideline for therapeutic drug monitoring of mycophenolic acid for solid organ transplants.
Shuang LIU ; Hongsheng CHEN ; Zaiwei SONG ; Qi GUO ; Xianglin ZHANG ; Bingyi SHI ; Suodi ZHAI ; Lingli ZHANG ; Liyan MIAO ; Liyan CUI ; Xiao CHEN ; Yalin DONG ; Weihong GE ; Xiaofei HOU ; Ling JIANG ; Long LIU ; Lihong LIU ; Maobai LIU ; Tao LIN ; Xiaoyang LU ; Lulin MA ; Changxi WANG ; Jianyong WU ; Wei WANG ; Zhuo WANG ; Ting XU ; Wujun XUE ; Bikui ZHANG ; Guanren ZHAO ; Jun ZHANG ; Limei ZHAO ; Qingchun ZHAO ; Xiaojian ZHANG ; Yi ZHANG ; Yu ZHANG ; Rongsheng ZHAO
Journal of Zhejiang University. Science. B 2025;26(9):897-914
Mycophenolic acid (MPA), the active moiety of both mycophenolate mofetil (MMF) and enteric-coated mycophenolate sodium (EC-MPS), serves as a primary immunosuppressant for maintaining solid organ transplants. Therapeutic drug monitoring (TDM) enhances treatment outcomes through tailored approaches. This study aimed to develop an evidence-based guideline for MPA TDM, facilitating its rational application in clinical settings. The guideline plan was drawn from the Institute of Medicine and World Health Organization (WHO) guidelines. Using the Delphi method, clinical questions and outcome indicators were generated. Systematic reviews, Grading of Recommendations Assessment, Development, and Evaluation (GRADE) evidence quality evaluations, expert opinions, and patient values guided evidence-based suggestions for the guideline. External reviews further refined the recommendations. The guideline for the TDM of MPA (IPGRP-2020CN099) consists of four sections and 16 recommendations encompassing target populations, monitoring strategies, dosage regimens, and influencing factors. High-risk populations, timing of TDM, area under the curve (AUC) versus trough concentration (C0), target concentration ranges, monitoring frequency, and analytical methods are addressed. Formulation-specific recommendations, initial dosage regimens, populations with unique considerations, pharmacokinetic-informed dosing, body weight factors, pharmacogenetics, and drug-drug interactions are covered. The evidence-based guideline offers a comprehensive recommendation for solid organ transplant recipients undergoing MPA therapy, promoting standardization of MPA TDM, and enhancing treatment efficacy and safety.
Mycophenolic Acid/administration & dosage*
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Drug Monitoring/methods*
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Humans
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Organ Transplantation
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Immunosuppressive Agents/administration & dosage*
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Delphi Technique
6.Hierarchical differences in brain functional networks in unilateral mesial temporal lobe epilepsy patients with different outcomes after surgery
Kanlin LIN ; Shangwen XU ; Xiaoyang WANG ; Ligang SONG ; Sifan QIU ; Lidan LIN ; Yaling CHEN ; Yusi ZHANG ; Ailing XIONG ; Huanyun XU ; Qingqing ZHANG
Chinese Journal of Medical Imaging Technology 2025;41(9):1473-1476
Objective To observe hierarchical differences in brain functional networks in unilateral mesial temporal lobe epilepsy(mTLE)patients with different outcomes after surgery.Methods A total of 69 unilateral mTLE patients who underwent resection of epileptogenic lesion on the affected side were retrospectively enrolled.Based on Engel classification 1 year after surgery,the patients were divided into seizure free(SF)group and non-seizure free(NSF)group.Functional connectivity gradient analysis was employed to extract principal gradient explaining the highest variance on preoperative resting-state functional MRI(rs-fMRI),then the whole-brain gradient characteristics and principal gradient values within specific functional networks were compared between groups.Results Principal gradient connected default mode network(DMN)with sensorimotor network(SMN)along a continuous axis.Compared to SF group,NSF group showed a contracted gradient range at both ends(DMN and SMN)of the functional network and weakened hierarchical differentiation,and principal gradient value of DMN was higher,while that of SMN was lower than those in SF group(both P<0.05).Conclusion Hierarchical differences in brain functional networks in unilateral mTLE patients with different outcomes after surgery mainly present as enhanced DMN and weakened SMN in NSF ones,and the latter two might serve as important neuroimaging markers for evaluating postoperative seizure recurrence.
7.Machine learning models based on brain functional network features combining clinical indicators for predicting postoperative outcomes of patients with drug-resistant mesial temporal lobe epilepsy
Lidan LIN ; Xiaoyang WANG ; Zhifeng HUANG ; Jianzhou CHEN ; Sifan QIU ; Yaling CHEN ; Shangwen XU
Chinese Journal of Medical Imaging Technology 2025;41(9):1488-1493
Objective To observe the value of machine learning(ML)models based on brain functional network features combining clinical indicators for predicting postoperative outcomes of patients with drug-resistant mesial temporal lobe epilepsy(DR-mTLE).Methods Totally 84 patients with unilateral DR-mTLE who underwent surgery were retrospectively enrolled and classified into seizure free(SF)group(n=55)and non-seizure free(NSF)group(n=29)according to one-year postoperative follow-up.Clinical data were analyzed to screen independent predictors of postoperative outcomes.Based on brain preoperative resting-state functional MRI,brain functional networks were constructed using graph theory analysis,and 587 features were extracted.Five-fold cross validation was used to divide the data into training set and test set,then the optimal brain functional network features related to postoperative outcomes of DR-mTLE patients were selected.Combining with clinically relevant independent predictors,ML models were constructed using classifiers including Gaussian process(GP),logistic regression(LR),support vector machine(SVM)and quadratic discriminant analysis(QDA),respectively,and the prediction efficacy,calibration and clinical value of each ML model were evaluated.Results Both course of disease and lesion location were clinically relevant independent predictors of postoperative outcome of DR-mTLE patients(OR=0.928,5.710,P=0.010,0.016).Four optimal brain function network features were selected,including betweenness centrality of the third zone of cerebellar vermis,degree centrality of right globus pallidus,nodal efficiency of temporal left inferior temporal gyrus and nodal clustering coefficient of left inferior parietal lobule.The average area under the curve(AUC)of GP,LR,SVM and QDA models in test set was 0.868,0.864,0.875 and 0.870,respectively.Calibration curves and decision curve analysis indicated that each ML model had good calibration and high clinical net benefit.Conclusion ML models based on brain functional network features combining with clinical indicators could be used to effectively predict postoperative outcomes in DR-mTLE patients.
8.Isolation,identification and pathogenicity analysis of two avain infectious bronchi-tis virus strain
Hanwen ZHANG ; Yaru GAO ; Yang WANG ; Yapeng SONG ; Wenming GAO ; Lin LIU ; Xiaoyang CAO ; Jingrui LIU ; Xinsheng LI
Chinese Journal of Veterinary Science 2025;45(10):2133-2141,2155
This study aims to investigate the isolate and identify of infectious bronchitis virus(IBV)in chickens,and study its genetic variation and pathogenicity.In 2023,two strains named CK/CH/HN/SQ202301 and CK/CH/HN/SQ202302 were obtained from suspected infectious bronchitis(IB)infected materials collected in a region of Henan Province,China.Further analysis showed that the two isolates belong to the G Ⅰ-13 and GⅥ genotypes,respectively.The cleavage sites of S protein were all RRSRR.The prediction of glycosylation sites showed that the two isolates had 18 and 12 N-glycosylation sites respectively,but no O-glycosylation site.Recombinant analysis shows that C2023-1 was a recombinant strain.Pathogenicity was assessed by infecting 1-day-old SPF chicks with the two isolates,and the results showed that C2023-1 strain infection could cause clini-cal symptoms such as depression and head shaking,as well as death in chicks,with a mortality rate of 37.5%.There were no clinical symptoms or deaths after infection with C2023-2 strain.Viral load test results showed that both isolates continued to detoxify until the 10th day,and had strong rep-lication capacity in the kidney,trachea and bursa of Fabricius.The results indicate significant differences in the genetic characteristics and pathogenicity of the two isolates due to their different genotypes.This study not only provides new epidemiological data on IB,which contributes to a bet-ter understanding of IBV's epidemiological features and control challenges,but also adds valuable bioinformatics resources for IBV by analyzing its variation mechanisms and biological information.
9.Expression and immunogenicity study of IBV S1 fusion protein containing FAdV-4 Fiber 2 B cell epitopes
Yaru GAO ; Yang WANG ; Hanwen ZHANG ; Lin LIU ; Xiaoyang CAO ; Jingrui LIU ; Bingjie LI ; Jingjing CHANG ; Yapeng SONG ; Wenming GAO ; Xinsheng LI
Chinese Journal of Veterinary Science 2025;45(8):1616-1623
To verify whether the two B-cell epitopes Pep1 and Pep4 in the FAdV-4 WZ fiber can be used as candidate epitopes for multivalent epitope vaccines,epitopes Pep1 and Pep4 were tandemly linked with the chicken infectious bronchitis virus strain M41 S1 protein gene in different patterns,and a recombinant fusion plasmid was constructed and expressed in E.coli BL21(DE3).It was confirmed by Western blot and ELISA tests that all four expressed fusion proteins reacted specific-ally with anti-M41 whole virus serum and WZ strain anti-Fiber 2-knob protein serum.After purifi-cation and immunization of BALB/c mice,specific antibodies against the peptide epitopes were de-tected in mouse sera.The results showed that the Pep4 epitope induced a stronger immune re-sponse than the Pep1 epitope.When Pep1 was connected with the amino and carboxyl termini of the fusion protein,respectively,both resulted in the production of the same level of anti-Pep1 anti-bodies in the immunized animals,whereas when Pep4 was connected with the carboxyl terminus of the fusion protein,the immunized animals produced a higher level of anti-Pep4-specific antibodies.This research indicates that the B cell epitopes Pep1 and Pep4 of the reactive WZ strain Fiber 2,when conjugated with proteins to form fusion proteins,can enhance the immunogenicity of Pep1 and Pep4 without affecting the antigenicity of the carrier protein.This study provides technical support and serves as a reference for the design and development of a multivalent epitope vaccine for FAdV-4.
10.Expression and immunogenicity study of IBV S1 fusion protein containing FAdV-4 Fiber 2 B cell epitopes
Yaru GAO ; Yang WANG ; Hanwen ZHANG ; Lin LIU ; Xiaoyang CAO ; Jingrui LIU ; Bingjie LI ; Jingjing CHANG ; Yapeng SONG ; Wenming GAO ; Xinsheng LI
Chinese Journal of Veterinary Science 2025;45(8):1616-1623
To verify whether the two B-cell epitopes Pep1 and Pep4 in the FAdV-4 WZ fiber can be used as candidate epitopes for multivalent epitope vaccines,epitopes Pep1 and Pep4 were tandemly linked with the chicken infectious bronchitis virus strain M41 S1 protein gene in different patterns,and a recombinant fusion plasmid was constructed and expressed in E.coli BL21(DE3).It was confirmed by Western blot and ELISA tests that all four expressed fusion proteins reacted specific-ally with anti-M41 whole virus serum and WZ strain anti-Fiber 2-knob protein serum.After purifi-cation and immunization of BALB/c mice,specific antibodies against the peptide epitopes were de-tected in mouse sera.The results showed that the Pep4 epitope induced a stronger immune re-sponse than the Pep1 epitope.When Pep1 was connected with the amino and carboxyl termini of the fusion protein,respectively,both resulted in the production of the same level of anti-Pep1 anti-bodies in the immunized animals,whereas when Pep4 was connected with the carboxyl terminus of the fusion protein,the immunized animals produced a higher level of anti-Pep4-specific antibodies.This research indicates that the B cell epitopes Pep1 and Pep4 of the reactive WZ strain Fiber 2,when conjugated with proteins to form fusion proteins,can enhance the immunogenicity of Pep1 and Pep4 without affecting the antigenicity of the carrier protein.This study provides technical support and serves as a reference for the design and development of a multivalent epitope vaccine for FAdV-4.

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