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.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.
3.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.
4.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)]
5.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
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.Causal relationship of liposomes and circulating metabolomes to schizophrenia: a two-step, two-sample Mendelian randomization study
Mengyun LEI ; Yanhong DU ; Yao GAO ; Huaili DENG ; Binhong WANG ; Zhiyong REN ; Sha LIU
Sichuan Mental Health 2025;38(3):223-228
BackgroundSchizophrenia is a complex, chronic and severe mental disorder, and the pathogenesis of which has not been fully elucidated. The abnormalities in lipid metabolism and circulating metabolomes have already been implicated in the pathophysiology of schizophrenia. However, available studies have mainly focused on a few liposomes and circulating metabolites, failing to systematically reveal the mediating role of circulating metabolomes in the causal relationship between liposomes and schizophrenia. ObjectiveTo uncover mediating role of circulating metabolomes in the causal relationship between liposomes and schizophrenia, thereby providing biomarkers and potential therapeutic targets for the prevention and treatment of schizophrenia. MethodsData from Genome-Wide Association Studies (GWAS) were analyzed, taking data on 179 liposomes as exposure variables, data on 123 circulating metabolites as intermediate variables, and data on schizophrenia as outcome variable. A two-step, two-sample Mendelian randomization analysis was conducted using the inverse-variance weighted (IVW), MR- Egger, Weighted median, and Weighted mode methods to study the causal relationship of liposomes with schizophrenia and the mediating role of circulating metabolomes in the relationship. ResultsIVW model identified 8 lipids associated with schizophrenia without reverse causality. There were 5 circulating metabolomes strongly associated with schizophrenia. Acetate played a significant mediating role in the causal relationship between phosphatidylinositol (18:0_18:2) and schizophrenia (P=0.023, 95% CI: 0.036~0.532), accounting for 28.4% of the causal relationship. ConclusionThis study demonstrates a causal relationship between liposomes and schizophrenia, with phosphatidylinositol being a risk factor in the progression of schizophrenia, and acetate playing a mediating role in this process. [Fund by National Natural Science Foundation of China General Program (number, 82271546); Shanxi Merit Funding for Overseas Students Sci-Tech Activities Project (number, 20240041); Shanxi Province Science and Technology Innovation Leading Talent Team Project (number, 202304051001049); Shanxi Scientific Research Foundation for the Returned Overseas Chinese Scholars (number, 2022-190); "Six Measures for Health Care Prosperity" Specialized Research Program (number, Y2024008)]
8.Association between sleep quality and mental health among middle school students
WU Huipan, LIU Yuan, YIN Xiaojian, WANG Jinxian, WANG Yi, GUO Yaru, XU Dingkun
Chinese Journal of School Health 2025;46(6):770-773
Objective:
To explore the relationship between sleep quality and mental health among middle school students, so as to provide scientific basis for improving mental health among adolescents.
Methods:
From September to December 2023, a stratified cluster random sampling method was employed to select 5 713 middle school students aged 13-18 from Shanghai, Suzhou, Taiyuan, Wuyuan, Xingyi, and Urumqi. Sleep quality and mental health were assessed using the Pittsburgh Sleep Quality Index (PSQI) and the Brief Adolescent Mental Health Assessment Questionnaire. Spearman correlation analysis and linear regression analysis were used to explore the relationship between sleep quality and various dimensions of mental health among middle school students.
Results:
There was a statistically significant difference in the total PSQI score among middle school students of different age groups ( H=226.49, P <0.01), and there was no statistically significant difference in the psychological health scores of middle school students in different age groups ( H=5.37, P >0.05). In terms of gender, the total PSQI score for girls [5.00 (3.00, 6.00)] was higher than that for boys [4.00 (2.00, 6.00)]; additionally, boys had higher mental health scores [85.00 (75.00, 90.00)] than females [83.00 (70.00, 89.00)], with statistically significant differences ( Z=-10.90, -8.16, P <0.01). Spearman correlation analysis revealed a negative correlation between total PSQI scores and mental health scores ( r=-0.51, P <0.05) among middle school students. After controlling for variables such as maximum oxygen uptake, physical activity and nutritional status, linear regression analysis further confirmed that higher PSQI scores were associated with lower mental health scores ( B=-3.76, 95%CI = -4.15 to -3.38, P <0.01).
Conclusion
There is a negative correlation between PSQI scores and mental health scores among middle school students, indicating that improving sleep quality may contribute to better mental health among middle school students.
9.Impact of preschool children s aquatic motor skill acquisition on their fundamental motor skill development
MA Feifei, ZHAO Guohui, SONG Wenjing, LIU Hongqiang, LUO Dongmei
Chinese Journal of School Health 2025;46(7):1014-1018
Objective:
To investigate the impact of preschool children s aquatic motor skill (AMS) acquisition on their fundamental motor skill (FMS) development and the correlation between AMS and FMS development, so ao to provide a scientific basis for early childhood education and physical education teaching.
Methods:
From April to June 2024, 60 children, recruited by random sampling from a kindergarten in Taiyuan, were stratified randomly divided into an experimental group ( n =30) and a control group ( n =30). The experimental group were further divided into five classes of six each. They received AMS practice interventions twice weekly, 40 minutes per session, over eight weeks (16 sessions total) at a designated swimming center. The control group maintained their usual routine. Children s FMS and AMS were assessed pre and post intervention using the Test of Gross Motor Development-3rd (TGMD3) and Actual Aquatic Skills Test (AAST), respectively. Before and after test comparisons within and between groups employed t-tests, Wilcoxon signedrank tests, ANCOVA (including ranktransformed ANCOVA), and Cohen s d effect sizes were calculated for standardized mean differences. Spearman rank correlation was used to analyze relationships between FMS and AMS.
Results:
After the aquatic learning, the experimental group scored significantly higher than the control group on locomotor skills ( F=20.47, P <0.01, η 2=0.26), FMS ( F=4.59, P =0.04, η 2=0.08), and AMS ( F=109.71, P<0.01, η 2=0.79). The experimental groups improvement in locomotor skills 5.0(3.8, 7.3) versus the control group (2.8±2.5) yielded a medium effect size (Cohen s d =0.71); AMS gains in the experimental group [26.0(20.8, 28.0)] versus controls [1.0(0, 2.3)] showed a very large effect size (Cohen s d =4.73) (both P <0.01). Among preschool children, AMS acquisition was positively correlated with locomotor skills ( r =0.39) and overall FMS ( r =0.43)(both P <0.05). Skill specific assessments revealed lower proficiency in headfirst entry (immersion), treading water, and sagittalplane rotation.
Conclusion
Preschool children s acquisition of AMS has a positive effect on their FMS, with mutual facilitation between the two, especially in locomotor abilities.
10.A Randomized Controlled,Double-Blind Study on Huaban Jiedu Formulation (化斑解毒方) in the Treatment of Psoriasis Vulgaris with Blood-Heat Syndrome
Xuewen REN ; Yutong DENG ; Huishang FENG ; Bo HU ; Jianqing WANG ; Zhan CHEN ; Xiaodong LIU ; Xinhui YU ; Yuanwen LI
Journal of Traditional Chinese Medicine 2025;66(16):1679-1686
ObjectiveTo evaluate the clinical efficacy and safety of Huaban Jiedu Formulation (化斑解毒方, HJF) in treating psoriasis vulgaris with blood-heat syndrome. MethodsA randomized, double-blind, placebo-controlled study was conducted with 60 patients diagnosed with psoriasis vulgaris of blood-heat syndrome. Patients were randomly assigned to either a treatment group or a control group, with 30 cases in each. The treatment group received HJF granules orally, one dose a day, combined with topical Qingshi Zhiyang Ointment (青石止痒软膏), while the control group received placebo granules, one dose a day, combined with the same topical ointment. Both groups were topically treated twice daily of 28 days treatment cours. Psoriasis area and severity index (PASI), visual analogue scale for pruritus (VAS), traditional Chinese medicine (TCM) syndrome scores, dermatology life quality index (DLQI), and psoriasis life stress inventory (PLSI) were assessed before treatment and on day 14 and day 28. Response rates for PASI 50 (≥50% reduction) and PASI 75 (≥75% reduction), as well as overall clinical efficacy, were compared between groups. Serum levels of interleukin-6 (IL-6) and interleukin-17 (IL-17) were measured before and after 28 days of treatment. Adverse reactions during treatment were recorded. ResultsAfter 28 days of treatment, both groups showed significant reductions in PASI total score, lesion area score, erythema, scaling, and infiltration scores, pruritus VAS score, TCM syndrome score, DLQI, PLSI, and serum IL-6 and IL-17 levels (P<0.05). Compared to the control group, the treatment group had significantly greater improvements in PASI total score and erythema score, TCM syndrome score, serum IL-6 and IL-17 levels, and PASI 50 response rate after 28 days (P<0.05). Between-group comparisons of score differences before and after 28-day treatment revealed that the treatment group showed significantly better improvements in PASI total, lesion area score, erythema score, TCM syndrome score, DLQI, PLSI, and inflammatory markers (P<0.05 or P<0.01). The total effective rate on day 14 and day 28 was 40.00% (12/30) and 83.33% (25/30) in the treatment group, versus 6.90% (2/29) and 41.38% (12/29) in the control group, respectively. The clinical efficacy in the treatment group was significantly superior to that in the control group (P<0.05). Mild gastric discomfort occurred in 3 patients in the treatment group and 1 in the control group. ConclusionHJF can effectively improve skin lesions and TCM symptoms relieve pruritus, enhance quality of life, and reduce inflammatory markers IL-6 and IL-17, in patients with blood-heat syndrome of psoriasis vulgaris, with a good safety profile.


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