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.

BACKGROUND: Molecular subtyping is an essential complementarity after pathological analyses for targeted therapy. This study aimed to investigate the consistency of next-generation sequencing (NGS) results between circulating tumor DNA (ctDNA)-based and tissue-based in non-small cell lung cancer (NSCLC) and identify the patient characteristics that favor ctDNA testing. METHODS: Patients who diagnosed with NSCLC and received both ctDNA- and cancer tissue-based NGS before surgery or systemic treatment in Lung Cancer Center, Sichuan University West China Hospital between December 2017 and August 2022 were enrolled. A 425-cancer panel with a HiSeq 4000 NGS platform was used for NGS. The unweighted Cohen's kappa coefficient was employed to discriminate the high-concordance group from the low-concordance group with a cutoff value of 0.6. Six machine learning models were used to identify patient characteristics that relate to high concordance between ctDNA-based and tissue-based NGS. RESULTS: A total of 85 patients were enrolled, of which 22.4% (19/85) had stage III disease and 56.5% (48/85) had stage IV disease. Forty-four patients (51.8%) showed consistent gene mutation types between ctDNA-based and tissue-based NGS, while one patient (1.2%) tested negative in both approaches. Patients with advanced diseases and metastases to other organs would be suitable for the ctDNA-based NGS, and the generalized linear model showed that T stage, M stage, and tumor mutation burden were the critical discriminators to predict the consistency of results between ctDNA-based and tissue-based NGS. CONCLUSION ctDNA-based NGS showed comparable detection performance in the targeted gene mutations compared with tissue-based NGS, and it could be considered in advanced or metastatic NSCLC.
Humans ; Carcinoma, Non-Small-Cell Lung/pathology* ; Circulating Tumor DNA/blood* ; High-Throughput Nucleotide Sequencing/methods* ; Female ; Male ; Lung Neoplasms/pathology* ; Middle Aged ; Mutation/genetics* ; Aged ; Adult ; Aged, 80 and over

Objective:To evaluate surgical strategies and clinical outcomes in supra-labyrinthine cholesteatoma management, providing evidence-based guidance for therapeutic decision-making. Methods:Seven patients with supra-labyrinthine cholesteatoma in our hospital from 2021 to 2023 were enrolled in this study. The clinical manifestations, imaging findings, and surgical outcomes of patients were retrospectively analyzed. A systematic literature review focused on surgical anatomy correlations and imaging-based approach selection. Results:All seven cases of supra-labyrinthine cholesteatoma were unilateral. Preoperative otoendoscopy, CT, and intraoperative findings confirmed that they were classified as supral-abyrinthine cholesteatoma according to Sanna's classification. Two cases were operated entirely with otoendoscopy, three cases used a postauricular approach with microscopic assistance, and two cases involved a combined approach with endoscopy and microscopy. Hearing reconstruction with ossicular prosthesis was performed in five cases, while two cases did not undergo hearing reconstruction due to preoperative anacusis confirmed by both subjective and objective hearing tests. In all seven cases, various segments of the facial nerve were exposed during surgery, but postoperative facial nerve function remained intact, hearing was preserved, no cerebrospinal fluid leakage occurred, and no recurrences have been observed to date（as of June 2024）. Conclusion:With the advancement of imaging techniques and microsurgical technology, early diagnosis and surgical methods for supral-abyrinthine cholesteatoma have significantly improved. Compared to traditional approaches, the newer methods reduce unnecessary complications and offer advantages such as minimal surgical trauma, superior hearing preservation rates, and shorter recovery times with better postoperative neural function. This study reviews recent literature on petroclival cholesteatomas, combined with our own cases, to analyze the classification of supral-abyrinthine cholesteatoma and surgical approach selection. The findings aim to optimize treatment strategies and guide appropriate surgical methods, ultimately improving patient prognosis and quality of life.
Humans ; Cholesteatoma/surgery* ; Ear, Inner/surgery* ; Retrospective Studies ; Treatment Outcome

The disturbance of the human microbiota influences the occurrence and progression of many diseases. Live therapeutic bacteria, with their genetic manipulability, anaerobic tendencies, and immunomodulatory properties, are emerging as promising therapeutic agents. However, their clinical applications face challenges in maintaining activity and achieving precise spatiotemporal release, particularly in the harsh gastrointestinal environment. This review highlights the innovative bacterial functionalized encapsulation strategies developed through advances in physicochemical and biological techniques. We comprehensively review how bacterial encapsulation strategies can be used to provide physical barriers and enhanced adhesion properties to live microorganisms, while introducing superior material properties to live bacteria. In addition, this review outlines how bacterial surface coating can facilitate targeted delivery and precise spatiotemporal release of live bacteria. Furthermore, it elucidates their potential applications for treating different diseases, along with critical perspectives on challenges in clinical translation. This review comprehensively analyzes the connection between functionalized bacterial encapsulation and innovative biomedical applications, providing a theoretical reference for the development of next-generation bacterial therapies.

Objective:To investigate the experience of weight-bearing restriction in patients with diabetic foot ulcer, and to explore the influencing factors of weight-bearing restriction, so as to provide reference for individualized nursing intervention.Methods:Nineteen patients with diabetic foot ulcer from March to May 2023 in the Department of Endocrinology of Tongji Hospital Affiliate to Tongji Medical College of Huazhong University of Science and Technology were selected by purposive sampling method. Phenomenological research method was adopted to conduct semi-structural interviews on them. Based on the social ecosystem theory, Colaizzi 7-step analysis method was applied to collate and analyze the data.Results:Of the 19 patients interviewed, 12 were males and 7 were females. The age ranged from 45 to 78 years old. The results of the interview showed that the compliance of patients with diabetic foot ulcer was not optimistic, the influencing factors could be summed up into 3 themes and 13 sub-themes, the microscopic systems (daily needs, perceived benefits and risks, entrenched exercise habits, disease status, lack of belief in exercise therapy, stress and guilt), the middle-level system (doctor-nurse-patient trust relationship, health education, appropriate incentives, economic burden, family support), the macro-level system (limited medical resources, insufficient information support). Among them, the ten hindering factors were more than the five promoting factors, the hindrance factors included daily life demands, solidified exercise habit, hypoalgesia caused by peripheral neuropathy change, lack of belief in exercise therapy, stress and guilt, defects in health education, financial burden, insufficient family support, limited medical resources and insufficient information support. The promoting factors included the perception of behavioral benefits and risks, foot pain, doctor-patient trust and proper encouragement, and family support.Conclusions:The compliance of diabetic foot ulcer patients with weight restriction is affected by many factors, and intervention should be made from micro, middle and macro levels to improve the compliance of patients with weight restriction, promote wound healing, improve the quality of life and disease outcomes.

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.

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.