Pre-admission is a critical initiative to optimize medical service processes and alleviate the challenge of "difficult access to healthcare. "However, there is currently a lack of standardized protocols for pre-admission procedures. This study aims to systematically analyze key nodes and risk factors in pre-admission process design and propose optimization strategies, providing a foundation for policy formulation and hospital practices. By constructing a "forward-reverse" dual-process model of pre-admission and identifying risk points based on stakeholder theory (patients, hospitals, healthcare administration, and insurance), the study reveals that while pre-admission can reduce the average length of stay, improve bed turnover rates, and enhance patient satisfaction, it also presents risks such as cross-period financial settlement, challenges in insurance policy adaptability, demands for information system integration, and the need for defining medical safety boundaries. To optimize the pre-admission process and mitigate these risks, this study explores framework improvements in areas including eligibility criteria, mode selection, cost settlement, transition between pre-admission and inpatient status, and cancellation of pre-admission, offering practical guidance for public hospitals. The authors argue that pre-admission requires tripartite collaboration among hospitals, insurers, and healthcare administrations: hospitals should establish top-level design, continuously refine processes, and implement dynamic risk assessment mechanisms; insurance providers should support cross-period settlement policies; and healthcare administrations should issue guiding policies or standardized protocols. Through multi-department coordination and collaborative efforts, the optimization and innovation of pre-admission processes can be advanced, ultimately delivering more efficient and convenient healthcare experiences for patients.

OBJECTIVE: Anemoside B4 (AB4), the most abundant triterpenoidal saponin isolated from Pulsatilla chinensis, inhibited influenza virus FM1 or Klebsiella pneumoniae-induced pneumonia. However, the anti-SARS-CoV-2 effect of AB4 has not been unraveled. Therefore, this study aimed to determine the antiviral activity and potential mechanism of AB4 in inhibiting human coronavirus SARS-CoV-2 in vivo and in vitro. METHODS: The cytotoxicity of AB4 was evaluated using the Cell Counting Kit-8 (CCK8) assay. SARS-CoV-2 infected HEK293T, HPAEpiC, and Vero E6 cells were used for in vitro assays. The antiviral effect of AB4 in vivo was evaluated by SARS-CoV-2-infected hACE2-IRES-luc transgenic mouse model. Furthermore, label-free quantitative proteomics and bioinformatic analysis were performed to explore the potential antiviral mechanism of action of AB4. Type I IFN signaling-associated proteins were assessed using Western blotting or immumohistochemical staining. RESULTS: The data showed that AB4 reduced the propagation of SARS-CoV-2 along with the decreased Nucleocapsid protein (N), Spike protein (S), and 3C-like protease (3CLpro) in HEK293T cells. In vivo antiviral activity data revealed that AB4 inhibited viral replication and relieved pneumonia in a SARS-CoV-2 infected mouse model. We further disclosed that the antiviral activity of AB4 was associated with the enhanced interferon (IFN)-β response via the activation of retinoic acid-inducible gene I (RIG-1) like receptor (RLP) pathways. Additionally, label-free quantitative proteomic analyses discovered that 17 proteins were significantly altered by AB4 in the SARS-CoV-2 coronavirus infections cells. These proteins mainly clustered in RNA metabolism. CONCLUSION Our results indicated that AB4 inhibited SARS-CoV-2 replication through the RLR pathways and moderated the RNA metabolism, suggesting that it would be a potential lead compound for the development of anti-SARS-CoV-2 drugs.

Objective To investigate the prevalence and risk factors of cognitive impairment in the nursing home population in Changning District, Shanghai. Methods In this study, random cluster sampling method was used to select 570 elderly people from 5 nursing homes in Changning District. Multivariate logistic regression was used to analyze the risk factors influencing cognitive function. Results The total prevalence of cognitive impairment in Changning nursing home population was 22.5%. The prevalence rates of ≤80 and >80 age groups were 16.8% and 23.9%, respectively, and the prevalence rates of men and women were 19.2% and 23.9%, respectively. Multivariate analysis showed that age ≥ 80 years old (OR=1.839, 95% CI: 1.045~3.235), no habit of reading book or newspaper (OR=2.087, 95%CI: 1.282~3.398), limitation of daily activity ability (OR=1.577, 95% CI: 1.023~2.431), and having depressive symptoms (OR=2.809, 95% CI: 1.840~4.288) were all influencing factors for cognitive impairment. Conclusion More than one fifth of elderly people in nursing homes in Changning District have symptoms of cognitive impairment. It is necessary to carry out routine cognitive assessment and appropriate cognitive intervention for the nursing home population to reduce the health and economic losses caused by cognitive impairment.

Objective To investigate the current situation of home environment safety of the elderly in Changning District, identify the risk factors related to the fall of the home environment of the elderly, and take targeted rectification measures, so as to create a safer environment for the elderly. Methods A phased random sampling method was used to select 201 elderly households from 10 streets in Changning District. Community doctors conducted on-the-spot investigation and assessment to collect information, and Epidata3.1 was used to input data and SAS 9.2 was used for statistical analysis. Results The incidence of falls in the past year was 19.90%, and the score of environmental risk factors/the number of environmental risk factors in each family ranged from 0 to 25, with an average of 9 items (standard deviation of 4.71). The results of multivariate logistic regression analysis show that the high level of falling environment (the number of falling risk factors in home environment ≥12) is still an independent risk factor for falls of the elderly, except for the influence of age and the number of drugs taken (OR=3.835, 95% CI:1.718-8.561). Conclusion The environmental risk factors causing falls are common in the home environment of the elderly in the community. It is necessary to focus on improving the home environment, reducing the risk of falls for the elderly, and creating a safe and comfortable home environment for the elderly.

Eye diagnosis is a method for inspecting systemic diseases and syndromes by observing the eyes.With the development of intelligent diagnosis in traditional Chinese medicine(TCM),artificial intelligence(AI)can improve the accuracy and efficiency of eye diagnosis.However,the research on intelligent eye diagnosis still faces many challenges,including the lack of standardized and precisely labeled data,multi-modal information analysis,and artificial in-telligence models for syndrome differentiation.The widespread application of AI models in medicine provides new insights and opportunities for the research of eye diagnosis intelli-gence.This study elaborates on the three key technologies of AI models in the intelligent ap-plication of TCM eye diagnosis,and explores the implications for the research of eye diagno-sis intelligence.First,a database concerning eye diagnosis was established based on self-su-pervised learning so as to solve the issues related to the lack of standardized and precisely la-beled data.Next,the cross-modal understanding and generation of deep neural network models to address the problem of lacking multi-modal information analysis.Last,the build-ing of data-driven models for eye diagnosis to tackle the issue of the absence of syndrome dif-ferentiation models.In summary,research on intelligent eye diagnosis has great potential to be applied the surge of AI model applications.

Methods: A total of 10 specific pathogen free (SPF) grade female DBA/2J mice were randomly divided into model group and QGA II group (n = 5 for each group), while additional 5 SPF-grade female C57BL/6J mice were assigned to control group. Mice presented spontaneous high IOP and showed elevated approximately at the age of seven months. The high IOP was maintained until week 38, when gavage was initiated. Mice in control group underwent the same intragastric treatment, while those in QGA II group were gavaged with QGA II (9.67 g/kg), once a day for four weeks. Retinal morphology was examined using hematoxylin and eosin (HE) staining, with the number of retinal ganglion cells (RGCs) counted. The expression level of Brn3a protein, a specific marker for RGCs, was detected by immunofluorescence, with the mean optical density (OD) measured for quantitative analysis. In addition, 16S rDNA sequencing was leveraged to analyze changes in the diversity of gut microbiota, including their α-diversity (Chao1, Shannon, Pielou’s evenness, and observed species index) and β-diversity. Venn diagrams and linear discriminant analysis effect size (LEfSe) analysis was employed to investigate the number of amplicon sequence variants (ASVs), the abundance of differential gut microbiota species, and the classification of species at both the phylum and genus levels within the three groups of mice. Results: HE staining revealed that compared with control group, model group showed significant reduction in the number of RGCs (P < 0.01), with intracellular vacuolar degeneration and nuclear pyknosis. After QGA II treatment, the number of RGCs was significantly increased compared with model group (P < 0.01), with notable improvements in intracellular vacuolar degeneration. Immunofluorescence analysis showed that the mean OD of Brn3a protein was significantly decreased in model group compared with control group (P < 0.01), while QGA II treatment significantly elevated its expression level (P < 0.01). Analysis of α-diversity showed that after QGA II intervention, the Chao1, Shannon, and Pielou’s evenness indices were significantly increased (P < 0.01), and the observed species index was elevated (P < 0.05). β-Diversity analysis demonstrated distinct clustering among the three groups, indicating relatively low similarity in bacterial community structures. ASV clustering identified a total of 14 061 ASVs across all groups, with 9 514 ASVs shared between model and QGA II groups. At the phylum level, the abundance of Bacteroidetes was significantly decreased in model group compared with control group (P < 0.01), while Firmicutes and the Firmicutes/Bacteroidetes (F/B) ratio were significantly increased (P < 0.01). QGA II treatment significantly reduced both Firmicutes abundance and the F/B ratio (P < 0.01). At the genus level, Lactobacillus was dominant across all groups, with its abundance significantly increased in model group (P < 0.01) and subsequently decreased following QGA II intervention (P < 0.05). Conclusion QGA II restructured the gut microbiota of DBA/2J mice with chronic high IOP, bringing changes in their diversity and abundance of components. Firmicutes, Bacteroidetes, Lactobacillus, along with their associated microorganisms, are likely critical components of the gut microbiota that contribute to the optic neuroprotective effects of QGA II on chronic high IOP mice.

ObjectiveTo analyze the distribution characteristics of common non-bacterial pathogens in hospitalized children with acute respiratory tract infection(ARTI) in Suzhou from 2021 to 2023, and to provide a basis for the prevention and treatment of children with ARTI. MethodsA total of 14 953 patients with ARTI admitted to the internal medicine ward of the Children’s Hospital of Soochow University from September 2021 to July 2023 were retrospectively selected. Multiple RTFQ-PCR and capillary electrophoresis were used to detect 13 respiratory pathogens from throat swab samples, and the pathogen distribution was analyzed. ResultsThe total detection rate of respiratory virus in the14 953 hospitalized children with ARTI was 76.23% (11 398/14 953). Single infection accounted for 75.10% (8 560/11 398), while mixed infection accounted for 24.90% (2 838/11 398). The top three pathogens detected were rhinovirus (23.35%, 3 492/14 953), respiratory syncytial virus (19.53%, 2 920/14 953), and Mycoplasma pneumoniae(MP) (13.31%, 1 990/14 953). The detection rate of human Bocavirus and rhinovirus were higher in boys than that in girls (P=0.008, P<0.001), while the detection rate of MP was higher in girls than that in boys (P<0.01). The detection rates of RSV and Chlamydia pneumoniae (CP) were the highest in children under 1 year of age. Parainfluenza virus human, Bocavirus, rhinovirus, adenovirus and coronavirus were most commonly detected in children aged between 1‒3 years. The detection rates of influenza A virus, influenza A (H1N1) virus, influenza A (H3N2) virus and metapenu⁃movirus were the highest in children aged between 3‒6 years. The detection rates of influenza B virus and MP were the highest in children older than 6 years. The detection rates of influenza A virus, influenzaA (H1N1) virus and RSV were the highest in spring. The detection rates of influenza A (H3N2) virus and MP were the highest in summer. The detection rates of parainfluenza virus, human Bocavirus, rhinovirus and metapenu-movirus were the highest in autumn. The detection rate of influenza B virus was the highest in winter. The detection rate of respiratory tract viruses varied by type of disease, and the difference is statistically significant (χ²=220.280, P<0.001). The positive rate of respiratory tract virus was 79.15% and 78.83% in patients with bronchitis and bronchopneumonia, respectively. Rhinovirus was the most commonly detected pathogen in patients with bronchitis (42.71%), bronchopneumonia (22.58%), and severe pneumonia (23.19%). ConclusionIn recent years, respiratory tract infections in children in the Suzhou area have primarily been viral infections, with rhinovirus, RSV and MP being the main pathogens. The detection rates of respiratory pathogens vary by age and season.

Objective: To examine the association of hypertension onset age with diabetes, so as to provide insights into reducing the the risk of cardiovascular events. Methods: Permanent residents aged 35 to 75 years were selected through the program of early screening and comprehensive intervention for the high-risk cardiovascular disease population in Changning District and Baoshan District, Shanghai Municipality from 2016 to 2020. Demographic information, disease history, hypertension onset age, blood pressure and fasting blood glucose were collected through questionnaire surveys, physical examination and laboratory tests. The residents were divided into four groups based on the onset age of hypertension: <45, 45-<55, 55-<65 and ≥65 years old, and the residents with normal blood pressure were selected as control. The association of hypertension onset age with prediabetes and diabetes were identified using a multivariable logistic regression model. Results: A total of 25 228 residents were recruited, including 8 753 males (34.70%) and 16 475 females (65.30%). The prevalence of hypertension was 43.80%. There were 1 779, 3 274, 3 781 and 2 217 cases with hypertension onset age of <45, 45-<55, 55-<65 and ≥65 years old, respectively, and 14 177 residents with normal blood pressure. The prevalence of prediabetes and diabetes were 24.01% and 11.29%, respectively. Multivariable logistic regression analysis showed that after adjusting for confounding factors such as gender, marital status and educational level, compared with the normal blood pressure group, the risk of prediabetes was higher in the hypertension onset age groups of <45 (OR=1.345, 95%CI: 1.164-1.553), 45-<55 (OR=1.365, 95%CI: 1.212-1.536) and 55-<65 years old (OR=1.376, 95%CI: 1.239-1.527), and the risk of diabetes was higher in the hypertension onset age groups of <45 (OR=2.302, 95%CI: 1.906-2.775), 45-<55 (OR=2.349, 95%CI: 2.016-2.734), 55-<65 (OR=1.909, 95%CI: 1.667-2.184) and ≥65 years old (OR=1.315, 95%CI: 1.131-1.526). Conclusion There are statistically significant associations between hypertension onset age with prediabetes and diabetes.

Based on the natures and flavors of herbal medicinals recorded in Shen Nong's Classic of the Materia Medica （《神农本草经》）； Miscellaneous Records of Famous Physicians （《名医别录》）， this study analyzed the characte-ristics of the natures， flavors and combination of medicinals of the two-herb compound formulas in Treatise on Cold Damage and Miscellaneous Diseases （《伤寒杂病论》）.Finally， 31 compound formulas were included， and it was found that the nature and flavor of the herbs in these two-herb compound formulas are closely related to the functions of the compound formulas， such as the common pairing of the acrid and the sweet herbs to warm yang and transform qi， the acrid and the bitter herbs in pairs to regulate and harmonize cold and heat， the sweet and the bitter in pairs to remove dampness and clear heat， the acrid and the acrid in pairs to arrest vomiting and direct qi downward， and the sour and the sweet in pairs to slow the urgent and relieve pain. Regardless of the deficiency or excess nature of the disease， the corresponding two-herb compound formulas often aim to reinforce healthy qi while eliminating pathogenic factors， with some formulas showcasing a unique correspondence between the disease pattern and the symptoms addressed.

Aim To study the causal relationship between coffee consumption and atherosclerosis risk.Methods Based on the public genome database IEU Open GW AS project website,relevant data were obtained,and in-strumental variables closely related to exposure and outcome were screened.Mendelian randomization analysis was per-formed using the inverse variance weighted method,weighted median method,and MR Egger method to assess the causal relationship between coffee consumption and arteriosclerosis(including coronary atherosclerosis,peripheral atherosclerosis,cerebral atherosclerosis,and other atherosclerosis).In addition,the Egger intercept method was used to detect the level of pleiotropy,the Cochran Q test was used to assess the heterogeneity,and the leave one out method was used to perform sensitivity analysis,so as to ensure the robustness of the results.Results The study showed that the F-values of the instrumental variables included in the study were all greater than 10,and there was no weak instrumental variables bias.Coffee consumption was positively correlated with the risk of coronary atherosclerosis(OR=1.535 5,95％CI=1.108 4～2.127 2,P=0.009 9),peripheral atherosclerosis(OR=2.098 6,95％CI=1.182 2～3.725 7,P=0.011 4),and other atherosclerosis(OR=1.864 7,95％CI=1.052 9～3.302 4,P=0.032 6),but not with the risk of cerebral atherosclerosis.Heterogeneity test Q_pval＞0.05,level pleiotropy test interval P＞0.05.Conclusions The single nucleotide polymor-phisms selected in the study are all strong instrumental variables,and there is no heterogeneity or horizontal pleiotropy,in-dicating reliable results.The research shows that coffee consumption increases the risk of coronary atherosclerosis,pe-ripheral atherosclerosis and other atherosclerosis,and has no significant correlation with the risk of cerebral atherosclerosis.The health management of atherosclerosis patients should reduce coffee consumption.