OBJECTIVE To explore the transformation of the dispensing and drug pickup process in traditional Chinese medicine pharmacy （TCM Pharmacy） in our hospital based on data-intelligence-driven， aiming to improve pharmacists’ work efficiency and patients’ drug pickup experience. METHODS Value stream mapping and journey mapping were used to systematically identify non-value-added links in pharmacists’ dispensing process and key pain points in patients’ drug pickup under the traditional process. An intelligent dispensing and drug pickup system for the TCM Pharmacy was developed based on the C# and Android television platforms， and a machine-learning model was adopted to predict patients’ drug pickup waiting time. A comprehensive evaluation was performed from three perspectives： system performance， prediction accuracy， and satisfaction of pharmacists and patients. RESULTS The system successfully streamlined non-value-added links such as “waiting for writing on the board” and “searching for drugs”， and realized multimodal dynamic prompts of dispensing status through auditory （number calling） and visual （television terminal） channels. The constructed model for predicting drug pickup waiting time exhibited good fitting degree and generalization ability （mean absolute error＝4.28 min， R 2 ＝0.882）. The comprehensive satisfaction scores of pharmacists and patients in the traditional mode were significantly increased from （70.99±1.74） and （73.58±1.98） to （90.02±1.30） and （88.61±2.08） in the new system， respectively （ P ＜0.01）. CONCLUSIONS The transformation of the intelligent drug dispensing and pickup system for TCM pharmacy based on data-intelligence-driven effectively improves the efficiency of pharmacists’ dispensing work， realizes process transparency and waiting time predictability， and significantly enhances patients’ drug pickup experience.

Since the founding of the People’s Republic of China, remarkable achievements have been gained in infectious disease prevention and control, and rich practical experiences have been accumulated. If these experiences are shared with developing countries, it will greatly contribute to global infectious disease control and global health security. Under the framework of Forum on China-Africa Cooperation, a series of China-Africa public health capacity training programs have been recently held in China, in order to help improve the capability of infectious disease control in African countries. This article summarized and refined good design concepts and practices from these programs, so as to provide insights into sustainable optimization of China-Africa public health capacity training and improvements of the training effectiveness.

OBJECTIVE: To elucidate the molecular mechanisms underlying sepsis-induced injury in mouse intestinal organoids and investigate the possible mechanisms or potential drug targets of myeloid differentiation factor 88 inhibitor [TJ-M2010-5 (TJ5)] on this condition. METHODS: Small intestinal organoids from C57BL/6 mice aged 6-8 weeks were established and characterized using immunofluorescence for cell growth and proliferation marker nuclear antigen Ki-67, goblet cell marker mucin-2 (MUC-2), epithelial cell marker E-cadherin, and Paneth cell marker lysozyme (Lyz). Small intestinal organoids after 3 days of passaging were divided into different groups: a normal control group treated with culture medium containing 0.2% dimethyl sulfoxide (DMSO) for 10 hours, a lipopolysaccharide (LPS) group treated with culture medium containing 200 mg/L LPS and 0.2% DMSO for 10 hours, and a TJ5 group pre-treated with 10 mmol/L TJ5 for 2 hours followed by treatment with culture medium containing 200 mg/L LPS for 10 hours. Real-time fluorescence quantitative reverse transcription-polymerase chain reaction (RT-qPCR) was used to measure the expression levels of interleukin-6 (IL-6) and zonula occludens-1 (ZO-1) in the small intestinal organoids. RNA transcriptome sequencing was performed on the small intestinal organoids from each group to analyze differentially expressed genes between groups, and significant enrichment was analyzed using gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). RESULTS: By the 7th day of primary culture, mature organoids had formed, and their growth rate increased after passaging. Immunofluorescence identification showed expressions of Ki-67, MUC-2, E-cadherin, and Lyz, indicating that the mouse small intestinal organoids maintained their cellular composition and functional characteristics under in vitro culture conditions. RT-qPCR results showed that compared with the normal control group, the mRNA expression of IL-6 in the small intestinal organoids of the LPS group was significantly increased (2^-ΔΔCT: 1.83±0.16 vs. 1.02±0.28, P < 0.05), while the mRNA expression of ZO-1 was significantly decreased (2^-ΔΔCT: 0.53±0.11 vs. 1.01±0.18, P < 0.05). In contrast, the mRNA expression trends of both IL-6 and ZO-1 were reversed in the TJ5 group, showing statistically significant differences as compared with the LPS group (2^-ΔΔCT: IL-6 mRNA was 1.24±0.01 vs. 1.83±0.16, ZO-1 mRNA was 1.97±0.29 vs. 0.53±0.11, both P < 0.05). RNA transcriptome sequencing showed 49 differentially expressed genes in the LPS group compared to the normal control group, with 42 upregulated and 7 downregulated. Compared to the LPS group, the TJ5 group showed 84 differentially expressed genes, with 47 upregulated and 37 downregulated. GO enrichment analysis of these differentially expressed genes showed that the significantly enriched biological processes of the differentially expressed genes between the normal control group and the LPS group included responses to LPS, responses to molecule of bacterial origin and responses to bacterium. The significantly enriched biological processes of the differentially expressed genes between the LPS group and the TJ5 group included glutathione metabolic processes, responses to stress cellular and responses to chemical stimulus. In molecular function groups, glutathione binding and oligopeptide binding were significantly enriched by the differentially expressed genes. In cellular component classifications, the enrichment of the differentially expressed genes was mainly observed in the cytoplasm, endoplasmic reticulum, and microsomes. KEGG pathway enrichment analysis indicated that the differentially expressed genes between the normal control group and LPS group were enriched in IL-17 signaling pathways, tumor necrosis factor (TNF) signaling pathways, viral protein interactions with cytokines and cytokine receptors signaling pathways, and cytokine-cytokine receptor interaction signaling pathways. In contrast, the differentially expressed genes between the LPS and TJ5 groups were mainly enriched in atherosclerosis signaling pathways, ferroptosis signaling pathways, glutathione metabolism signaling pathways, and cytochrome P450-mediated drug metabolism signaling pathways. CONCLUSIONS Mouse small intestinal organoids were successfully extracted and cultured. TJ5 may exert its protective effects by regulating gene expression and related signaling pathways (fluid shear stress and atherosclerosis, ferroptosis, glutathione metabolism, cytochrome P450 drug metabolism, etc.) in sepsis-injured mouse small intestinal organoids. These genes and signaling pathways may be key targets for treating sepsis-induced intestinal injury.
Animals ; Mice ; Sepsis/genetics* ; Organoids/drug effects* ; Mice, Inbred C57BL ; Intestine, Small/metabolism* ; Gene Expression Profiling ; Transcriptome ; Lipopolysaccharides

Objective:To investigate the association between fibroblast growth factor 21(FGF21)and chronic kidney disease(CKD)in a prediabetic population by conducting a 4-year prospective cohort study among community-dwelling residents aged≥40 years in Guangzhou,China.Methods:A total of 1505 subjects who met the criteria for prediabetes and had complete baseline data were col-lected from the 2012 REACTION cohort,and they were followed up for 4 years to observe newly-onset CKD and the changes in urinary albumin-to-creatinine ratio(UACR)and estimated glomerular filtration rate(eGFR).Results:Among the 1 505 subjects with predia-betes,142 reached the diagnostic criteria for CKD during follow-up,yielding an overall incidence rate of 9.43%(95%CI=7.895%-10.902%).According to baseline serum FGF21 level,the subjects were divided into Q1-Q4 groups,with the lowest level of FGF21 in the Q1 group,and the Q4 group had a significantly higher eGFR than the other groups(P<0.05).After a mean follow-up time of 4 years,UACR was increased by 0.87 mg/g(P<0.001)and eGFR was reduced by 4.8 mL/(min·1.73 m2)(P<0.001).After stratification by FGF21 quartiles,there were differences in the declines of eGFR across groups,with the lowest degree of reduction in the Q2 group.In the multivariate regression model,the serum level of FGF21 was significantly negatively associated with the onset of CKD.When FGF21 was analyzed as a continuous variable in the multivariate lo-gistic regression analysis,FGF21 was still significantly negatively associated with the risk of CKD,which was consistent with the re-sults of the quartile-based analysis.However,restricted cubic spline curves showed an L-shaped non-linear relationship between FGF21 level and the risk of CKD,i.e.,the incidence rate of CKD de-creased with the increase in FGF21 level,but when FGF21 level reached a certain threshold,the risk of CKD no longer changed with FGF21.The linear regression analysis showed that FGF21 was positively associated with UACR and eGFR.Conclusion:In this pro-spective cohort study,FGF21 level might be potentially associated with the future risk of CKD among adults with prediabetes,while fur-ther studies are needed to clarify related mechanisms and clinical value.

Patients with periodontal disease often require combined periodontal-orthodontic interventions to restore periodontal health, function, and aesthetics, ensuring both patient satisfaction and long-term stability. Managing these patients involving orthodontic tooth movement can be particularly challenging due to compromised periodontal soft and hard tissues, especially in severe cases. Therefore, close collaboration between orthodontists and periodontists for comprehensive diagnosis and sequential treatment, along with diligent patient compliance throughout the entire process, is crucial for achieving favorable treatment outcomes. Moreover, long-term orthodontic retention and periodontal follow-up are essential to sustain treatment success. This expert consensus, informed by the latest clinical research and practical experience, addresses clinical considerations for orthodontic treatment of periodontal patients, delineating indications, objectives, procedures, and principles with the aim of providing clear and practical guidance for clinical practitioners.
Humans ; Consensus ; Orthodontics, Corrective/standards* ; Periodontal Diseases/complications* ; Tooth Movement Techniques/methods* ; Practice Guidelines as Topic

ObjectiveTo obtain the epidemiological characteristics of re-positive cases infected with SARS-CoV-2 in Pudong New Area from March to July 2022, including clinical manifestations, duration of a negative nucleic acid conversion after tested for re-positive, and length of time from the discharge of the initial infection to the most recent re-positivity, so as to provide a scientific basis for the prevention and control of COVID-19. MethodsA questionnaire survey was conducted among the re-positive cases infected with SARS-CoV-2 after discharged from hospital/quarantine facility in Pudong New Area, and descriptive epidemiological methods were used for characteristics analysis. ResultsA total of 2 422 re-positive cases met the inclusive and exclusive criteria, with males accounting for 61.02%. The age distribution mainly fell between 18 and <60 years old, accounting for 62.39%. Clinical manifestations were predominantly asymptomatic (72.15%), followed by cough (12.03%) and sore throat (6.58%). Among the stratified randomized sample of 416 individuals, there were statistically significant differences in symptoms (χ²=262.667, P<0.001), clinical typing (χ²=12.996, P=0.001), and duration of a negative nucleic acid conversion (χ²=142.578, P<0.001) between the initial positive and re-positive instances. Besides, statistically significant differences in symptoms (χ²=13.696, P=0.016) and self-perception of the severity of re-infection (χ²=7.923, P=0.048) between the initial and re-positive cases were observed by different genders. ConclusionAmong re-positive cases, males experienced milder symptoms compared to females, and the self-perception of symptoms during re-positivity is milder than that in the initial positive infection. The length of time for negative nucleic acid conversion during the initial positive period is shorter than that during the re-positive period.

In February 2025, a local cluster outbreak caused by the D8 genotype Measles virus (MV) was first discovered in Henan Province. Epidemiological investigations and laboratory testing were conducted, including the collection of serum and throat swabs for MV IgM antibody and nucleic acid detection, virus isolation and genetic homology analysis. Measures such as close contact tracing, vaccination rate assessment and supplementary immunization activities were implemented, successfully preventing broader community transmission. A total of three cases were reported during the outbreak, including one imported-related adolescent and two secondary local adult cases. All cases presented with typical symptoms such as fever and rash. Both adult cases were complicated by pneumonia, with one case developing into severe pneumonia. MV genotyping showed that the two secondary cases were both the D8 genotype, with the viral sequences being completely homologous to the Kazakhstan strain. Among the close contacts, 98.2% were adults, and 142 individuals received emergency vaccination.

Objective:To systematically review the risk prediction models for postoperative pulmonary infection in elderly patients with hip fractures.Methods:PubMed, Embase, Cochrane Library, Web of Science, CNKI, Wanfang Database and VIP Database were systematically searched to collect literature on the risk prediction models for postoperative pulmonary infection in elderly patients with hip fractures from inception to June 30, 2024. The languages were limited to Chinese and English. Two researchers screened the literature according to the inclusion and exclusion criteria. Data extraction was performed using the checklist for critical appraisal and data extraction for systematic reviews of prediction modeling studies (CHARMS), encompassing basic study characteristics, model development features, and model performance metrics. The predictors, validation methods, presentation formats, and predictive performance of the risk prediction models for postoperative pulmonary infection in elderly patients with hip fractures were evaluated. The prediction model risk-of-bias assessment tool (PROBAST) was employed to assess risk of bias and applicability of the included studies.Results:A total of 11 studies, comprising of 16 prediction models, were included, with a total sample size of 283-1 508 patients and a pulmonary infection incidence rate of 5.4%-16.25%. The independent predictive factors repeatedly included in the models were age, American Society of Anesthesiologists (ASA) scale, preoperative comorbidities, chronic obstructive pulmonary disease (COPD), preoperative albumin level, white blood cell count (WBC), and C-reactive protein (CRP) level. The models were internally validated in 7 studies and externally validated in 3. The models were visualized in the form of a nomogram in 7 studies and a web-based risk calculator in 1. Model prediction performance was analyzed: (1) In terms of the discrimination, 9 studies reported the area under the receiver operating characteristic curve (AUC), with the overall AUC range of 0.664-0.905. (2) In terms of the calibration, 5 studies had Hosmer-Lemeshow test, with the P-values all above 0.05; 2 studies reported the calibration plots, with the slopes close to 1 and the Brier scores of 0.016 and 0.112; 4 studies reported the sensitivity of the models of 73.91%-92.40% and specificity of 57.10%-92.41%. According to PROBAST, all 11 studies exhibited certain risk of bias while maintaining favorable applicability. Conclusions:Age, ASA scale, preoperative comorbidities, COPD, preoperative albumin level, WBC, and CRP level are found to be independent predictive factors repeatedly reported in the risk prediction models for postoperative pulmonary infection in elderly patients with hip fractures. The existing models demonstrate a robust overall prediction performance despite certain risks of bias.

Objective: To construct a prediction model for sleep disorders in shift workers of a chemical fiber enterprise, so as to provide the basis for early identification and prevention of sleep disorders in shift workers. Methods: Shift workers were sampled from a chemical fiber enterprise in Tongxiang City, Zhejiang Province using a cluster sampling method from August 2022 to July 2024. Demographic information, length of service and average weekly working hours were collected through questionnaire surveys. Depressive symptoms, anxiety symptoms and sleep disorders were evaluated using the Pittsburgh Sleep Quality Index, Patient Health Questionnaire and Generalized Anxiety Disorder Questionnaire, respectively. The shift workers were randomly divided into a training set and a validation set at a ratio of 7∶3. Predictive factors were selected using a multivariable logistic regression model based on the training set, and a nomograph model for prediction of sleep disorders in shift workers was established. The predictive values of the model were evaluated using the receiver operating characteristic (ROC) curve and calibration curve based on the training set and validation set. Results: Totally 673 shift workers were included, with a median age of 32 (interquartile range, 12) years. There were 493 males, accounting for 73.25%. There were 471 (69.99%) workers in the training set and 202 (30.01%) workers in the validation set. There were 274 workers with sleep disorders, accounting for 40.71%. The equation for the prediction model was ln[p/(1-p)]=-8.391+1.906×average weekly working hours+1.822×depressive symptoms+1.667×anxiety symptoms. The area under the ROC curve was 0.769 (95%CI: 0.661-0.835) for the training set and 0.655 (95%CI: 0.593-0.737) for the validation set, and Hosmer-Lemeshow test showed a good fitting effect (both P>0.05). Conclusion The nomograph model constructed by average weekly working hours, depressive symptoms and anxiety symptoms can be used to predict the risk of sleep disorders in shift workers of a chemical fiber enterprise.

Objective The sample hospital is currently in the exploration stage of creating patient satisfaction service un-der the one-hospital and multi-district management mode.In order to improve the overall feeling of patients in the process of hos-pital treatment,the application effect of the existing all-round full-cycle patient service intelligent management platform in the hos-pital is quantitatively evaluated,so as to better improve the service mode.Methods A survey was conducted to collect satisfac-tion data from two groups:the experimental group,which utilized the comprehensive and full-cycle patient service intelligent man-agement platform for diagnosis and treatment services,and the control group,which followed the conventional patient admission and discharge process.The work efficiency number was obtained and calculated through the background of the system,including the average time to handle hospitalization procedures,the average waiting time for examination,the average time to handle dis-charge procedures,the time spent on each follow-up visit and the response rate of follow-up patients.The data were analyzed sta-tistically.Results The work efficiency of the experimental group was significantly better than that of the control group,and the satisfaction of hospitalized patients and staff was higher than that of the control group.Conclusion The application of the com-prehensive and full-cycle patient service intelligent management platform can improve the satisfaction of patients and staff,opti-mize the efficiency of treatment,and better serve the management mode of one hospital and multiple districts.