Thomas Percival published the first edition of Medical Ethics in 1803 and is often regarded as the founder of modern medical ethics. After settling in Manchester in 1767， he established a reputation locally through his outstanding medical research and clinical work， contributions to public health affairs， and influence of his ethical works. In 1788， when a dispute arose among the medical staff at the Manchester Infirmary， Percival， as the hospital’s extraordinary physician and a highly respected figure in the region’s medical community， was commissioned to draft a code of conduct for medical staff. Taking this opportunity， he completed and published the book named Medical Ethics， which subsequently exerted a profound impact on the professional norms of physicians in the United Kingdom and the United States.

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.

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.

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.

OBJECTIVE To explore the risk factors for serum COVID-19 antibodies in the population of Fuzhou to provide scientific basis for prevention and control strategies.METHODS The prospective study and the multi-stage stratified random sampling method were performed to select at least 200 subjects from each of the 12 counties(cit-ies)in Fuzhou.Questionnaires follow-ups and serum collections were conducted in Mar,Jun,Sep,and Dec.2024,respectively.The antibody levels in Dec.were divided into a high protective antibody group(IgG antibody≥50 AU/ml)and a low protective antibody group(IgG antibody≤20 AU/ml).The influencing factors of serum anti-body levels were analyzed by multivariate logistic regression model.RESULTS A total of 2816 subjects were en-rolled.In Mar,1454 subjects with high-protective antibodies were identified.After nine months of follow-up,of the 1454 subjects,344 had high protective antibodies and 369 had low protective antibodies in Dec..There were statistically significant differences in age,presence of typical symptoms after infection,underlying diseases,surgi-cal history,healing time,smoking and drinking histories between the high and low antibody groups(P<0.05).Multivariate logistic regression model showed that older age,underlying diseases,history of surgery,smoking and drinking were risk factors which could reduce antibody levels(P<0.05),while typical symptoms after infec-tion and longer recovery time were protective factors which could increase antibody levels(P<0.05).After the COVID-19 infection in spring of 2024,the serum antibody levels in Fuzhou residents showed the downward trend,especially after Sep.2024,with a more pronounced downward trend.CONCLUSIONS According to the risk factors of COVID-19 antibody levels,prevention and control efforts should be focused on the key population.It is necessa-ry to strengthen health education and carry out vaccination to maintain the levels of immunity to protect population from COVID-19 infection.

Objective:To explore the mediating role of negative automatic thoughts between health literacy and childbirth fear of primiparas.Methods:The primiparas who underwent obstetric examination in Department of Obstetrics, Lishui People′s Hospital from January 2021 to December 2023 were selected as the research objects by convenience sampling method. Using cross-sectional survey, the general information questionnaire, Childbirth Attitude Questionnaire, The Automatic Thought Questionnaire and Perinatal Pregnant Women′s Health Literacy Scale were used to investigate. Pearson correlation analysis was performed by SPSS 26.0, AMOS 24.0 was used to construct the mediating effect model of negative automatic thoughts between health literacy and childbirth fear of primiparas, and Bootstrap method was used to test the mediating effect.Results:A total of 246 questionnaires were distributed, and 235 valid questionnaires were collected. The age of 235 primiparas was (27.56 ± 3.74) years old. The total score of health literacy, negative automatic thoughts, childbirth fear was (173.29 ± 20.20), (88.13 ± 16.50), (46.52 ± 12.67) points. The direct effect of health literacy on childbirth fear of primiparas was -0.319 (95% CI -0.495--0.144), accounting for 56.00% of the total effect. The indirect effect of negative automatic thoughts between health literacy and childbirth fear was -0.251 (95% CI -0.393--0.127), accounting for 44.00% of the total effect. Conclusions:Negative automatic thoughts plays a partial mediating role between health literacy and childbirth fear of primiparas. Nursing staff should formulate intervention measures according to the path of influencing childbirth fear, so as to minimize the level of childbirth fear.

Objective To investigate the mechanism of action and potential biomarkers of Jiangzhi Qingshen capsules in the treatment of dyslipidaemia based on clinical lipid metabolomics.Methods 30 patients with dyslipidaemia from Zhengzhou Hospital of Chinese Medicine were collected as the test group,and their lipid levels before and after taking Jiang Zhi Qing Shen capsule for 12 weeks were compared.Another 30 healthy patients were enrolled in the physical examination department of Zhengzhou Hospital of Chinese Medicine,and metabolomics investigation was carried out on plasma samples of the test group before and after the treatment as well as those of the healthy patients by LC-MS/MS technology.The differences between the groups were compared by multivariate statistical analysis,and the potential biomarkers were identified by HMDB and lipidblast databases,so as to clarify the possible pathways and targets for the treatment of mild dyslipidaemia by Jiangzhi Qingshen capsules.Results Jiangzhi Qingshen capsules could improve patients' blood lipid level,BMI and abdominal circumference significantly(P<0.05).And metabolomics results showed that 29 lipid metabolites in the plasma of the treated patients were dialled back,which involved cholesterol metabolism,fat digestion and absorption,glycerol-phospholipid metabolism and other biological processes.Conclusion The efficacy of Jiangzhi Qingshen capsules in treating dyslipidaemia was confirmed,and its mechanism of action might be related to the regulation of lipid metabolism.Metabolites such as acylcarnitine(Acar),phosphatidylethanolamine(PE)and phosphatidylcholine(PC)were expected to be used as the biomarkers of dyslipidaemia,so as to provide objective scientific basis for the lipid-lowering capsule,and to facilitate the promotion of its application.

Objective:To analyze and explore the selection of secondary intervention strategies for residual issues following congenital aortic valve disease surgery in children, as well as to evaluate their prognostic efficacy.Methods:A retrospective analysis was conducted on the clinical data of 41 children with residual issues after congenital aortic valve disease surgery, who were treated at the Department of Cardiovascular and Thoracic Surgery, Shanghai Children's Medical Center, between January 2013 and August 2024. Among them, 25 were male and 16 were female, with a mean age of(116.8±45.1)months and a mean weight of(40.0±20.2)kg. The mean interval for secondary intervention was(60.0±36.4)months. The residual issues included aortic valve insufficiency(20 cases), aortic valve stenosis(11 cases), and combined aortic valve insufficiency and stenosis(10 cases).Results:Secondary interventions included aortic valve repair(7 cases), mechanical valve replacement(20 cases), Ross procedure(13 cases), and Ozaki procedure(1 case). Additionally, 5 cases with left ventricular outflow tract stenosis underwent concomitant Konno surgery.One case of early postoperative in-hospital death occurred, with a mortality rate of 2.4%, primarily due to acute left heart failure and multiple organ dysfunction. The average follow-up period for surviving children was( 64.6±34.5) months(5-147 months), with no mid- to long-term mortality. Follow-up results showed that In surviving children, the left heart showed significant reduction in size postoperatively, with the LVEDD Z-score decreasing from 1.24±2.23 before surgery to -0.97±1.48( P=0.001). Postoperative LVEF 0.66±0.06 showed no significant difference compared to pre-reintervention 0.68±0.10( P=0.140). In aortic stenosis(AS) patients, the peak transvalvular pressure gradient decreased from(69.5±19.8) mmHg(1 mmHg=0.133 kPa) preoperatively to(25.1±10.9) mmHg postoperatively( P=0.003). In aortic insufficiency(AI) patients, the width of the aortic regurgitation jet decreased from(5.8±1.1) mm preoperatively to(2.7±1.1) mm postoperatively( P=0.012). 97.5% of children maintained mild-to-moderate aortic regurgitation(jet width <4 mm), with only 1 case of moderate regurgitation(jet width 4.4 mm)remaining under close observation.Two children underwent reoperation on the aortic valve, with a tertiary intervention rate of 5.0%. One case underwent redo commissurotomy 21 months after aortic valve repair due to recurrent stenosis, and the other underwent mechanical valve replacement 34 months after the Ozaki procedure due to leaflet calcification and infective endocarditis. Mid-term follow-up revealed good cardiac function recovery in surviving children, with 87.5% achieving NYHA functional class Ⅰ/Ⅱ. Conclusion:Due to the demands of growth and development and the degenerative nature of valve tissue, residual issues are inevitable in the mid- to long-term following congenital aortic valve disease surgery in children, often necessitating secondary intervention. Given the lack of suitable autologous valve tissue, the use of aortic valve replacement has significantly increased in secondary interventions. The Ross procedure, as an ideal secondary intervention, demonstrates satisfactory mid-term follow-up outcomes. For children with high-risk factors for the Ross procedure, mechanical valve replacement also yields favorable prognoses.

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.

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.