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.Explainable Machine Learning Model for Predicting Prognosis in Patients with Malignant Tumors Complicated by Acute Respiratory Failure: Based on the eICU Collaborative Research Database in the United States
Zihan NAN ; Linan HAN ; Suwei LI ; Ziyi ZHU ; Qinqin ZHU ; Yan DUAN ; Xiaoting WANG ; Lixia LIU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):98-108
To develop and validate a model for predicting intensive care unit (ICU) mortality risk in patients with malignant tumors complicated by acute respiratory failure (ARF) based on an explainable machine learning framework. Clinical data of patients with malignant tumors and ARF were extracted from the eICU Collaborative Research Database in the United States, including demographic characteristics, comorbidities, vital signs, laboratory test indicators, and major interventions within the first 24 hours after ICU admission.The study outcome was ICU death.Enrolled patients were randomly divided into a training set and a validation set at a ratio of 7:3.Predictor variables were selected using least absolute shrinkage and selection operator (LASSO) regression.Five machine learning algorithms-extreme gradient boosting (XGBoost), support vector machine (SVM), Logistic regression, multilayer perceptron (MLP), and C5.0 Decision Tree-were employed to construct predictive models.Model performance was evaluated based on the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, and other metrics.The optimal model was further interpreted using the Shapley additive explanations (SHAP) algorithm. A total of 3196 patients with malignant tumors complicated by ARF were included.The training set comprised 2, 261 patients and the validation set 935 patients; 683 patients died during ICU stay, while 2513 survived.LASSO regression ultimately selected 12 variables closely associated with patient ICU outcomes, including sepsis comorbidity, use of vasoactive drugs, and within the first 24 hours after ICU admission: minimum mean arterial pressure, maximum heart rate, maximum respiratory rate, minimum oxygen saturation, minimum serum bicarbonate, minimum blood urea nitrogen, maximum white blood cell count, maximum mean corpuscular volume, maximum serum potassium, and maximum blood glucose.After model evaluation, the XGBoost model demonstrated the best performance.The AUCs for predicting ICU mortality risk in the training and validation sets were 0.940 and 0.763, respectively; accuracy was 88.3% and 81.2%;sensitivity was 98.5% and 95.9%.Its predictive performance also remained optimal in sensitivity analyses.SHAP analysis indicated that the top five variables contributing to the model's predictions were minimum oxygen saturation, minimum serum bicarbonate, minimum mean arterial pressure, use of vasoactive drugs, and maximum white blood cell count. This study successfully developed a mortality risk prediction model for ICU patients with malignant tumors complicated by ARF based on a large-scale dataset and performed explainability analysis.The model aids clinicians in early identification of high-risk patients and implementing individualized interventions.
3.Predictive modle for violence risk in hospitalized schizophrenia patients based on support vector machine
Huan LIU ; Peifang SHI ; Kun ZHANG ; Li KANG ; Yan ZHANG ; Long NA ; Binhong WANG ; Meiqing HE
Sichuan Mental Health 2026;39(1):27-35
BackgroundThe violent aggressive behaviors of patients with schizophrenia usually have the characteristics of suddenness, unpredictability, high severity, and great difficulty in prevention. Early identification and accurate assessment of their risk of violent aggression have significant clinical significance. ObjectiveTo construct a predictive model for the violence risk in hospitalized patients with schizophrenia, to identify the key factors influencing the occurrence of violent behavior in these patients, so as to provide references for clinical precise quantitative assessment and early intervention. MethodsA total of 200 patients with schizophrenia who were hospitalized at Taiyuan Psychiatric Hospital from March 2022 to September 2024 and met the diagnostic criteria of the International Classification of Diseases, eleventh edition (ICD-11) were collected to form the modeling cohort. They were randomly divided into a training set (n=140) and a test set (n=60) at a ratio of 7∶3. Based on the least absolute shrinkage and selection operator (LASSO) regression algorithm, the feature variables were screened and dimension-reduced. The support vector machine (SVM) from machine learning was selected for model training and prediction. The discrimination efficacy of the model was evaluated by the area under the receiver operating characteristic (ROC) curve (AUC), accuracy, precision, sensitivity, specificity, F1 value, and Brier value. ResultsLASSO regression screening identified 16 feature variables. Pearson correlation analysis revealed a positive correlation between prior violent behavior frequency and clinical psychiatric symptom scores (r=0.580, P<0.01), a positive correlation between hospitalization compliance and current disease status (r=0.550, P=0.003), and a positive correlation between educational level and family per capita monthly income (r=0.367, P<0.01). The SVM model achieved an AUC of 0.853, accuracy of 0.800, precision of 0.810, sensitivity of 0.895, specificity of 0.636, F1 value of 0.850, and Brier value of 0.168. ConclusionThe SVM model has a relatively high level of applicability and overall predictive performance in the assessment of violent risk in schizophrenia patients, which is helpful for the early identification of violent risks in such patients. [Funded by Specialized Research Project for Enhancing the Competence of Health Professionals in Taiyuan City (number, Y2023006)]
4.Huaier Enhances Efficacy of Oxaliplatin in Treatment of Gastric Cancer by Improving Gut Microbiota
Shenglian ZHANG ; Zhimin DU ; Yi GONG ; Meiqi LAN ; Ping LIU ; Yajun XIONG ; Yanli GONG ; Xiaoyong SONG ; Junli LI ; Ruizhi WANG ; Yuting GAO ; Huanhu ZHANG ; Xinli SHI
Cancer Research on Prevention and Treatment 2026;53(3):176-186
Objective To elucidate the changes in the gut microbiota and molecular mechanism of huaier in
5.Research progress on the association between physical activity and sleep quality in adolescents
WANG Jinxian*, LIU Yuan, WU Jian, WU Huipan, WANG Zhe, ZHANG Yingkun, WANG Yi, YIN Xiaojian
Chinese Journal of School Health 2026;47(1):140-143
Abstract
To promote adolescents active participation in physical activity and improve sleep quality, the article analyzes the relationship of adolescent physical activity with subjective sleep satisfaction, sleep latency, sleep continuity, sleep efficiency, and sleep duration. It explores potential mechanisms underlying the link between physical activity and sleep quality, including physiological mechanisms (circadian rhythms, body temperature, neuroendocrine systems, and immune function), and psychological mechanisms (stress relief, improvement of negative emotions, and promotion of mental relaxation). Based on existing research, it is recommended that adolescents engage in moderate to vigorous physical activity daily to promote improved sleep quality.
6.Research advances in iron metabolism disorder and intracranial atherosclerotic cerebral infarction
Journal of Apoplexy and Nervous Diseases 2026;43(2):185-192
Intracranial atherosclerosis (ICAS) is an important etiology of ischemic stroke and has a complex pathogenesis. Iron is an essential trace element for maintaining normal physiological functions of the human body, and the regulation of iron homeostasis is of great significance for ensuring proper physiological activities. Studies in recent years have shown that iron metabolism disorder plays a pivotal role in the development and progression of intracranial atherosclerotic cerebral infarction, involving various pathological processes such as inflammatory response, cell death, lipid metabolism, and blood-brain barrier dysfunction. This article systematically elaborates on the mechanisms through which iron overload promotes ICAS, including oxidative stress, inflammatory response, and lipid peroxidation,with a focus on the key role of related molecular mechanisms (including glutathione depletion, inhibition of GPX4 activity, and lipid peroxide accumulation)in intracranial atherosclerotic cerebral infarction, in order to provide new ideas for the prevention and treatment of intracranial atherosclerotic disease.
7.Study on quality standard of Andrographis paniculata standard decoction based on UPLC characteristic chromatogram and quantitative analysis of multi-components by single marker
Zhiling MA ; Xiaoya WANG ; Weibo DU ; Zhiqiang ZHANG ; Jianmei SHEN ; Yan LIU
Journal of Pharmaceutical Practice and Service 2026;44(1):46-52
Objective To establish quality evaluation method of Andrographis paniculata standard decoction by UPLC. Methods 21 batches of Andrographis paniculata standard decoctions were prepared according to the standardization method of TCM decoction pieces. The UPLC characteristic chromatograms analysis method was established. With andrographolide as a reference, quantitative analysis of multi-components by single marker (QAMS) was established for new neoandrographolide, 14 deoxyandrographolide and dehydrated andrographolide. The results were compared with the external standard method (ESM) to determine the accuracy of the method. Results Similarity Evaluation System for Chromatographic Fingerprint of TCM (2012 edition) was used to analyze and compare the characteristic chromatograms, and seven common peaks were determined and five were identified including luteolin-7-O-β-D-glucuronide, andrographolide, neoandrographolide, 14-deoxyandrographolide and dehydroandrographolide. The RSDs of content results of each component by QAMS and ESM were all within 3%. Conclusion The determination method was reliable and accurate, which could be used to reflect the intrinsic quality of Andrographis paniculata standard decoction comprehensively and provide the basis for the quality evaluation of Andrographis paniculata formula granules and other preparations.
8.Epidemiological characteristics and prediction analysis of hand, foot and mouth disease in Shanxi Province in 2012 - 2024
Wenjun WANG ; Xiaohong ZHANG ; Lijuan LIU ; Yaqiong SONG ; Qing TAN ; Yanzhen NIU
Journal of Public Health and Preventive Medicine 2026;37(3):14-18
Objective To analyze the epidemiological characteristics of hand, foot, and mouth disease (HFMD) in Shanxi Province from 2012 to 2024, and predict the incidence trend for 2025, and to provide a scientific basis for the formulation of prevention and control strategies. Methods Based on the surveillance data of HFMD in Shanxi Province from 2012 to 2024, the spatial and temporal distribution characteristics and time trends of the disease were analyzed. The ARIMA model was constructed and used to predict the incidence trend in 2025. Results From 2012 to 2024, a total of 254 028 HFMD cases were reported in Shanxi Province, with an average annual incidence rate of 54.17 per 100 000 population, a severe case rate of 0.56%, and a case fatality rate (CFR) of 12.60 per 100 000 population. Joinpoint regression analysis showed that the incidence rate, severe case rate, mortality rate, and case fatality rate all presented a downward trend. The epidemic exhibited obvious seasonal distribution characteristics, with the peak period from April to November, and two incidence peaks in June-July and October-November. The male-to-female incidence ratio was 1.41:1. Children aged 1-5 years accounted for 89.24% of the total cases, among which scattered children (58.48%) and nursery children (33.54%) were the high-risk groups. Linfen City (96.06 /100 000) and Taiyuan City (88.54 /100 000) had relatively high incidence rates. After 2017, the proportion of enterovirus A71 (EV-A71) decreased, while coxsackievirus A16 (Cox-A16) and other enteroviruses became the main epidemic strains. The ARIMA(1,0,1)(0,1,1)₁₂ model predicted that the incidence of HFMD in 2025 would remain at the level of 2023-2024, and the dual-peak characteristic would continue. Conclusion From 2012 to 2024, the overall HFMD epidemic in Shanxi Province generally shows a significant downward trend. The high-risk population includes scattered children and nursery children under 5 years old, with high-incidence areas concentrated in the central and southern regions, requiring focused attention. The seasonal ARIMA model can effectively fit the evolutionary trend of HFMD incidence in Shanxi Province and possesses short-term predictive capability.
9.Comparison of the efficacy and safety of vedolizumab versus infliximab in Bio-naive patients with ulcerative colitis
Duidui YAO ; Feixue LI ; Jiaqi WU ; Xiaobing LIU ; Hongping WEN
China Pharmacy 2026;37(10):1307-1312
OBJECTIVE To compare the efficacy and safety of vedolizumab (VDZ) versus infliximab (IFX) in biologic-naive(Bio-naive) patients with moderate-to-severe active ulcerative colitis (UC), and to analyze the factors influencing efficacy. METHODS Clinical data were retrospectively collected from Bio-naive patients with moderate-to-severe active UC who received treatment in the Department of Gastroenterology at Shanxi Provincial People’s Hospital from June 2023 to June 2024. Based on the type of biologic agent administered, the patients were divided into the IFX group (41 cases) and the VDZ group (30 cases). Patients in the two groups received IFX (5 mg/kg) or VDZ (300 mg) for induction and maintenance of remission therapy. The two groups were compared regarding modified Mayo score, serological indicators (hemoglobin, albumin, platelet count, erythrocyte sedimentation rate, C-reactive protein), combined medication, efficacy-related indexes (clinical response rate/remission rate, and endoscopic response rate/remission rate), and the occurrence of adverse drug reactions (ADR). Based on Logistic regression model, univariate and multivariate analyses were conducted to identify potential factors influencing clinical remission at week 14 and endoscopic remission at week 38. RESULTS There were no statistically significant differences in clinical response rate/remission rate, or endoscopic response rate/remission rate between the two groups at weeks 14 and 38 ( P >0.05). However, at week 14 of treatment, the proportion of patients using concomitant corticosteroids in VDZ group was 26.67%, significantly higher than the 7.50% in IFX group ( P <0.05). There was no statistical significance in the overall incidence of ADR between the two groups ( P >0.05); all ADRs in the IFX group were grade 3 and led to treatment discontinuation (6 cases), whereas ADR in the VDZ group was grade 2 and did not interrupt therapy (1 case). Univariate and multivariate regression analyses revealed that disease type (relapsing) was significantly associated with clinical remission at week 14 of treatment, and a history of smoking was significantly associated with endoscopic remission at week 38 of treatment (the odds ratios were 0.08 for both, with 95% confidence intervals of 0.01-0.77 and 0.01-0.91 respectively, P <0.05). CONCLUSIONS For Bio-naive patients with moderate-to-severe active UC, VDZ and IFX demonstrate comparable efficacy in inducing and maintaining clinical remission and promoting mucosal healing, as well as overall safety. Although IFX can achieve faster control of inflammation in the early stage of the disease, it causes more severe ADR. Disease type (relapsing) and smoking history are identified as independent negative predictors for short-term clinical remission and long-term endoscopic remission, respectively.
10.Mechanism of the interaction between immunosuppressive therapy and intestinal microflora after liver transplantation
Yan WANG ; Yufeng LIU ; Haiyang ZHANG ; Zhiwei ZHANG ; Jun XU ; Zhiyong LAI
Journal of Clinical Hepatology 2026;42(4):980-986
The application of immunosuppressants has significantly reduced the incidence rate of rejection reaction after liver transplantation, but the clinical efficacy of immunosuppressants is greatly affected by individual differences between patients. This article systematically reviews the recent research advances in the interaction between immunosuppressants and gut microbiota, with a focus on the regulatory role and mechanism of intestinal microflora communities on the efficacy of immunosuppressants. Studies have shown that intestinal microbiome is one of the key factors influencing the efficacy of immunosuppressive therapy after liver transplantation. This review aims to provide a theoretical basis for in-depth research in this field and provide new insights for developing individualized immunosuppressive treatment regimens based on the regulation of intestinal microflora.


Result Analysis
Print
Save
E-mail