ObjectiveTo optimize the processing technology of honey bran-fried Rosae Laevigatae Fructus（h-RLF）， formulate relevant quality standards， and explore its improving effect and mechanism on mice with ulcerative colitis（UC） induced by dextran sodium sulfate（DSS）. MethodsTaking the content of polysaccharides and water-soluble extract as the indexes， L₉（3⁴） orthogonal test was used to optimize parameters of the amount of honey bran， frying time and frying temperature. The quality of 15 batches of h-RLF decoction pieces was evaluated according to the optimized process， and the inspection limit standard was preliminarily drawn up. Eighty SPF male Kunming mice were randomly divided into 8 groups， including the blank group， model group， mesalazine group（0.13 g·kg^-1）， RLF group（3.77 g·kg^-1）， bran-fried RLF group（3.77 g·kg^-1）， h-RLF low， medium and high dose groups（1.89， 3.77， 7.54 g·kg^-1）， with 10 mice in each group. The mice in the blank group were free to drink pure water， and the other groups were free to drink 3% DSS solution for 7 days to prepare UC mouse model. Each treatment group was given corresponding drugs by intragastric administration， and the blank and model groups were given equal volume of normal saline. The body weight of mice was recorded daily and the disease activity index（DAI） was calculated. After the administration， the colon tissues of mice were collected to observe the pathological changes by hematoxylin-eosin（HE） staining. The levels of tumor necrosis factor（TNF）-α， interleukin（IL）-1β， IL-6 and IL-10 in the colon of mice were detected by enzyme-linked immunosorbent assay（ELISA）. Western blot was used to detect the expression levels of phosphorylation nuclear transcription factor-κB p65（p-NF-κB p65）， Toll-like receptor 4（TLR4）， p-p38 mitogen-activated protein kinase（p-p38 MAPK）， p-extracellular signal-regulated kinase（p-ERK） and p-c-Jun N-terminal kinase（p-JNK） proteins in colon tissues. ResultsThe optimum processing technology of h-RLF was 20 g honey bran per 100 g RLF， and stir-frying at 200 ℃ for 8 min. The limit standard under the examination of h-RLF was preliminarily formulated as follows：the polysaccharide content should not be less than 25% based on anhydrous glucose（C₆H₁₂O₆）， the content of water-soluble extract should not be less than 38%， the moisture content should not be more than 12.0%， the total ash content should not be more than 5.0%， and the acid-insoluble ash content should not be more than 1.0%. The cluster heat map analysis showed that the quality of RLF from Huanggang， Hubei province was better. Animal experiments showed that compared with the blank group， the DAI score of the model group was significantly increased， the levels of TNF-α， IL-1β and IL-6 in the colon tissue were significantly increased， the IL-10 level was significantly decreased， the colonic mucosa was seriously damaged， accompanied by a large number of inflammatory cell infiltration， tissue congestion and a significant reduction in glands， and the expression levels of p-NF-κB p65， TLR4， p-p38 MAPK， p-ERK and p-JNK proteins were significantly increased（P<0.01）. Compared with the model group， each administration group could alleviate the symptoms of colonic ulcer， the structure of colonic crypt was basically intact， and the glands were arranged in an orderly manner. Among them， the high-dose group of h-RLF had a better effect， which could significantly reduce the DAI score and the levels of TNF-α， IL-1β and IL-6 in colon tissue（P<0.01）， and significantly increase the level of IL-10（P<0.01）， alleviate the colonic mucosal injury， and effectively inhibit the expression levels of p-NF-κB p65， TLR4， p-p38 MAPK， p-ERK and p-JNK proteins（P<0.01）. ConclusionThe key parameters of the processing technology of h-RLF are determined， and the optimized technology is stable and feasible. The established quality standard is simple and reliable， and can be used for the quality control. h-RLF can effectively alleviate DSS-induced UC， and its mechanism may be related to inhibiting the activation of NF-κB/TLR4/MAPK pathway.

BACKGROUND: Lung cancer is the leading malignancy in China in terms of both incidence and mortality. With increased health awareness and the widespread use of low-dose computed tomography (CT), early diagnosis rates have been steadily improving. Surgical intervention remains the primary treatment option for early-stage lung cancer, and video-assisted thoracoscopic surgery (VATS) has become a common approach due to its minimal invasiveness and rapid recovery. However, post-discharge recovery remains incomplete, underscoring the importance of postoperative care. Traditional follow-up methods, lack standardization, consume significant medical resources, and increase the burden of the patients. Artificial intelligence (AI)-driven disease management platforms offer a novel solution to optimize postoperative follow-up. This study followed 463 lung cancer surgery patients using an AI-based platform, aiming to identify common postoperative issues, propose solutions, improve quality of life, reduce recurrence-related costs, and promote AI integration in healthcare. METHODS: Using the AI disease management platform, this study integrated educational videos, collaboration between healthcare teams and AI assistants, daily health logs, health assessment forms, and personalized interventions to monitor postoperative recovery. The postoperative rehabilitation status of the patients was assessed by the Leicester Cough Questionnaire (LCQ-MC). Two independent t-test and one-way ANOVA were used to analyze the causes of postoperative cough in lung cancer. RESULTS: Most issues occurred within 7 d post-discharge, significantly declined on 14 d post-discharge. Factors such as gender, smoking history, and surgical approaches were found to influence cough recovery. The incidence of cough on 7 d post-discharge in females was higher than that in males (P<0.01), while the incidence of cough on 14 d post-discharge in elderly patients was lower than that in young patients (P=0.03). The AI-based platform effectively addressed cough, pain, and sleep disturbances through phased interventions. CONCLUSIONS The AI-based platform significantly enhanced postoperative management efficiency and the self-care capabilities of the patients, particularly in phased cough management. Future integration with wearable devices could enable more precise and personalized postoperative care, further advancing the application of AI technology across multidisciplinary healthcare domains.
Humans ; Lung Neoplasms/rehabilitation* ; Male ; Female ; Middle Aged ; Aged ; Patient Discharge ; Artificial Intelligence ; Adult ; Postoperative Care ; Postoperative Period ; Disease Management ; Quality of Life

Objective:To explore the effect, postoperative mucosal pathological changes and molecular biological changes of reboot operation for type 2 inflammation chronic rhinosinusitis with nasal polyps（CRSwNP） patients, and to provide theoretical basis for the clinical application of this kind of operation. Methods:We collected 29 patients who were diagnosed with CRSwNP with type 2 inflammatino response and underwent Reboot surgery from June 2022 to August 2023, and 27 patients who were diagnosed with deviated septum and underwent simple submucosal resection of the septum as the control group. We conducted nasal symptom scoring, endoscopic sinusitis scoring, and CT scanning of the sinuses before and after surgery, as well as HE staining, immunohistochemical staining, and detection of inflammatory factors using Elisa kits at the time of surgery, 1, 3, and 6 months postoperatively. We also observed the ultrastructural changes using transmission electron microscopy and scanning electron microscopy, and performed proteomic analysis of the mucosa in the ethmoid sinus area of the sinusitis patients at the time of surgery and 6 months postoperatively. Results:After 6 months of postoperative follow-up, CT scores of the nasal cavity and sinuses had gradually decreased compared with the preoperative period. The VAS score of main symptoms, SNOT-22 score and Lund-Kennedy endoscopic score were decreased after 12 months follow-up. The histological morphology of the mucosa in the area of the screen was significantly improved compared with the preoperative period, with a reduction in the number of eosinophils. The levels of inflammatory factors such as IL-4 and IL-5 et al. in the mucosa of the area of the screen were gradually reduced compared with the preoperative period. The histological morphology, ultrastructure, and cilia structure of the mucosa in the area of the screen were gradually improved compared with the preoperative period, though not recovered completely. The number of CD4⁺T and CD8⁺T cells not changed significantly before and after the surgery yet. By conducting proteomic analysis of the ethmoidal sinus mucosa before and after surgery, differential proteins were selected, and bioinformatics analysis was conducted on the differentially expressed proteins. By using cytoHubba to identify hub genes and intersecting them with the genes related to chronic sinusitis, we found that MMP9 expression increased in non-type 2 CRS and type 2 CRS in sequence, while ACTC1 expression decreased in non-tpye 2 CRS and type 2 CRS in sequence. Conclusion:Reboot surgery can improve the postoperative symptoms and signs of patients, improve the pathological morphology of the mucosa, and influence the expression of protein after surgery. However, the surgery may not have a significant impact on the distribution of T cell subpopulations and inflammation signal pathway in the nasal mucosa.
Humans ; Sinusitis/metabolism* ; Nasal Polyps/metabolism* ; Nasal Mucosa/ultrastructure* ; Chronic Disease ; Rhinitis/complications* ; Inflammation ; Male ; Female ; Postoperative Period ; Adult ; Interleukin-5/metabolism* ; Interleukin-4/metabolism* ; Middle Aged ; Proteomics ; Rhinosinusitis

Digital technologies have become an integral part of complete denture restoration. With advancement in computer-aided design and computer-aided manufacturing (CAD/CAM), tools such as intraoral scanning, facial scanning, 3D printing, and numerical control machining are reshaping the workflow of complete denture restoration. Unlike conventional methods that rely heavily on clinical experience and manual techniques, digital technologies offer greater precision, predictability, and efficacy. They also streamline the process by reducing the number of patient visits and improving overall comfort. Despite these improvements, the clinical application of digital complete denture restoration still faces challenges that require further standardization. The major issues include appropriate case selection, establishing consistent digital workflows, and evaluating long-term outcomes. To address these challenges and provide clinical guidance for practitioners, this expert consensus outlines the principles, advantages, and limitations of digital complete denture technology. The aim of this review was to offer practical recommendations on indications, clinical procedures and precautions, evaluation metrics, and outcome assessment to support digital restoration of complete denture in clinical practice.
Humans ; Denture, Complete ; Computer-Aided Design ; Denture Design/methods* ; Consensus ; Printing, Three-Dimensional

Objective To explore current status and potential subtypes of elderly stroke patients' medication literacy among,and to analyze related influencing factors of different subtypes.Methods A total of 285 elderly stroke patients admitted in the First Affiliated Hospital of Zhengzhou University from November 2023 to June 2024 were selected as subjects.General Information questionnaire,medication literacy scale for elderly patients with chronic diseases,and perceived social support scale were conducted.Latent profile analysis(LPA)of elderly stroke patients' medication literacy was conducted,and Logistic regression analysis was used to explore influencing factors of different profiles.Results Score of medication literacy scale for elderly stroke patients was(48.26±12.51)points.Medication literacy among elderly stroke patients can be divided into 3 profiles,namely proactive-high literacy type(51.9％),balanced-medium literacy type(34.0％),and dependent-low literacy type(14.1％).Logistic regression analysis showed that recent medication types,current place of residence,educational level,diabetes,and social support were the influencing factors of elderly stroke patients' medication literacy(P＜0.05).Conclusion The level of medication literacy among elderly stroke patients is medium,which is characterized by 3 categories.Medical staffs targeted intervention should be adopted according to different category characteristics,so as to accurately meet their nursing needs,finally improve the level of elderly stroke patients' medication literacy.

Objective:To study the association between subtypes of hypertension and risk for all-cause mortality and cardio-cerebrovascular mortalities in the elderly in communities of Beijing.Methods:The data were collected from the Beijing Healthy Aging Cohort Study. The elderly in 5 urban areas (former Xicheng, former Xuanwu, Fangshan, Haidian and Tongzhou) and 4 rural areas (Yanqing, Miyun, Huairou and Daxing) in Beijing were selected as the study subjects by multi-stage stratified cluster random sampling. The baseline survey was conducted from July 2009 to September 2015. The follow-up was conducted until March 31, 2021, and a total of 6 326 participants were enrolled. Cox proportional hazard regression model was used to analyze the association of SBP, DBP, normal blood pressure, high normal blood pressure, simple systolic hypertension, simple diastolic hypertension and systolic diastolic hypertension with all-cause mortality and cardio-cerebrovascular mortality.Results:By March 31, 2021, the median follow-up time was 6.30 years, the all-cause mortality density was 201.67/10 000 person-years, and the cardio-cerebrovascular mortality density was 90.20/10 000 person-years. Multivariate Cox proportional hazard regression model analysis showed that the risk for all-cause mortality increased by 5.6% ( HR=1.056, 95% CI: 1.020-1.092), and the risk for cardio-cerebrovasculvar mortality increased by 12.5% ( HR=1.125, 95% CI: 1.071-1.182) for every 10 mmHg increase in SBP. The risk for all-cause mortality increased by 8.6% ( HR=1.086, 95% CI: 1.023-1.152), and the risk for cardio-cerebrovascular mortality increased by 19.9% ( HR=1.199, 95% CI: 1.101-1.306) for every 10 mmHg increase in DBP. Compared with the normal blood pressure group, the risk for all-cause mortality increased by 64.8% ( HR=1.648, 95% CI: 1.049-2.591) and the risk for cardio- cerebrovascular mortality increased by 112.8% ( HR=2.128, 95% CI: 1.069-4.233) in the simple diastolic hypertension group. The risk for all-cause mortality increased by 34.4% ( HR=1.344, 95% CI: 1.023-1.467) and the risk for cardio-cerebrovascular mortality increased by 111.3% ( HR=2.113, 95% CI: 1.384-3.225) in the systolic-diastolic hypertension group. Conclusions:In the elderly in communities of Beijing, beside systolic-diastolic hypertension. It is necessary to pay close attention to the simple diastolic hypertension, which has lower prevalence, and give targeted prevention and treatment.

Objective:To investigate the association of urinary albumin-to-creatinine ratio (UACR) in normal range and cardiovascular health (CVH) score with cardio-cerebroascular and all-cause mortality in urban elderly residents in Beijing.Methods:Based on Beijing Healthy Aging Cohort Study, data from 1 817 elderly participants with normal UACR were analyzed, and UACR was used as both continuous and categorical variable. "Life's Essential 8" was used to develop a CVH score. Statistical analysis was performed by using software SPSS 26.0 and R 4.2.1, including two independent samples t-test, χ2 test and non-parametric test. Multivariable Cox proportional hazard regression models stratified by CVH score and the restricted cubic spline were used to analyse the association of UACR with the risk for cardio-cerebrovascular and all-cause mortality. Results:By March 31, 2021, the median follow-up time M ( Q1, Q3) was 11.28 (10.84, 11.36) years, a total of 308 deaths were recorded during follow-up, and the mortality density was 163.87/10 000 person-years. The age of the participants was (71.4±6.6) years, and 1 070 participants were women. The results showed that the risk for both cardio-cerebrovascular disease and all-cause mortality decreased with the decrease of UACR in the low CVH score group ( HR=0.500, 95% CI: 0.341-0.734; HR=0.793, 95% CI: 0.647-0.971), and in the high CVH score group, there was a decreasing trend in the risk for cardio-cerebrovascular mortality with the decrease of UACR ( HR=0.665, 95% CI: 0.447-0.990). Compared with the participants with low CVH score and higher UACR, the risk for cardio-cerebrovascular and all-cause mortality decreased by 68.9% and 45.6%, respectively, in the participants with high CVH score and lower UACR ( HR=0.311, 95% CI: 0.131-0.739; HR=0.544, 95% CI: 0.360-0.822), and the risk for all-cause mortality decreased by 26.7% in the participants with high CVH score and higher UACR ( HR=0.733, 95% CI: 0.542-0.993). Conclusions:In urban elderly residents in Beijing, higher UACR were associated with a significantly increased risk for cardio-cerebrovascular and all-cause mortality, and in the low-CVH score group, decreased UACR was protective factor against cardio-cerebrovascular and all-cause mortality. The combined effect of cardiovascular health status and normal UACR had a greater protection against the risk for cardio-cerebrovascular and all-cause mortality.

Objective:To describe and analyze the distribution characteristics of a body shape index (ABSI) and its association with all-cause mortality in the elderly in communities of Beijing.Methods:The baseline and follow-up data of 10 423 subjects in Beijing Healthy Aging Cohort Study were used. The endpoint outcome was all-cause mortality in follow-up. The associations of ABSI, BMI and waist circumference with all-cause mortality were analyzed with a Cox proportional hazard regression model.Results:The mean follow-up time in this cohort was 6.36 years and the all-cause mortality was 15.27%. The restricted cubic spline results showed that ABSI showed a "U" association with all-cause mortality in the total population. After adjustment for confounding factors, compared with the normal ABSI group, the risk for all-cause mortality was higher in the low ABSI group ( HR=1.69, 95% CI: 1.32-2.17) and high ABSI group ( HR=1.75, 95% CI: 1.40-2.18). Compared with the normal BMI group, low BMI was associated with an increased risk for all-cause mortality ( HR=1.70, 95% CI: 1.40-2.08). Compared with the normal waist circumference group, central obesity was associated with a decreased risk for all-cause mortality ( HR=0.89, 95% CI: 0.80-0.99). The results of gender specific analysis on ABSI association with all-cause mortality were similar to that in total population, but the strength of association varied among different age groups. Cross-grouping results showed that older people with normal BMI and waist circumference and abnormal ABSI had an increased risk of all-cause mortality ( HR=1.91, 95% CI: 1.22-2.99). Conclusions:In Beijing, ABSI is correlated with the risk for all-cause mortality in the elderly population, which is more sensitive and specific than the traditional indicators (BMI and waist circumference). They can be used as one of the physical measurement indicators for all-cause mortality risk prediction in the health risk assessment and management in the elderly.

Objective:To explore the association between physical activity (PA) level and all-cause mortality in the elderly with different obesity status in Beijing.Methods:The study subjects were from the Cardiovascular and Cognitive Healthy Study in Middle-Aged and Elderly Residents of Beijing, a total of 3 746 individuals aged ≥60 years in the baseline survey between 2013 and 2015 were included in the study. Questionnaire survey and physical examination were conducted to collect the basic information of the individuals. The metabolic equivalent of the elderly was used to calculate the PA level, and an international PA questionnaire was used to determine the PA intensity. BMI, waist-to-height ratio (WHtR) and a body shape index (ABSI) were used to evaluate individuals' obesity status. The distribution of different PA levels under different obesity states was described by using bar chart and cumulative percentage bar chart. Cox proportional hazard regression model was used to analyze the correlation between the level of PA and all-cause mortality risk in different types of obesity status.Results:By December 31, 2019, the median follow-up time was 5.46 years, and the mortality density was 244.55/10 000 person-years. Compared with the individuals in high-PA intensity group, the all-cause mortality risk increased by 41% ( HR=1.41, 95% CI: 1.14-1.76) and 122% ( HR=2.22, 95% CI: 1.76-2.81), respectively, in moderate and low PA intensity groups. Compared with the individuals in high-PA intensity-high-obesity group, based on the BMI, the all-cause mortality risk increased by 85% ( HR=1.85, 95% CI: 1.08-3.16) and 250% ( HR=3.50, 95% CI: 2.01-6.10) in those in moderate-PA intensity-high-obesity group and in low-intensity-high-obesity group. Based on the WHtR, the all-cause mortality risk increased by 53% ( HR=1.53, 95% CI: 1.02-2.29) and 218% ( HR=3.18, 95% CI: 2.09-4.86), respectively, in those with moderate-PA intensity-high-obesity and those with low-PA intensity-high-obesity. According to the ABSI, the all-cause mortality risk increased by 120% in those in low-PA intensity-high-obesity group ( HR=2.20, 95% CI: 1.53-3.18). Based on any one of the indicators BMI, WHtR, or ABSI, there was no significant difference in all-cause mortality risk between high-intensity-moderate-obesity group and high-intensity-low-obesity group (all P>0.05). Conclusions:PA level is closely associated with the all-cause mortality risk in the elderly in communities of Beijing. Increasing PA level can not only reduce the all-cause mortality risk but also reduce even eliminate the excess all-cause mortality risk associated with obesity.

Objective:To analyze the association between different lipid indicators and cardio-cerebrovascular mortality in the elderly, identify a better lipid indicator for the risk for cardio-cerebrovascular mortality in the elderly in communities of Beijing.Methods:The elderly aged 60 years and above were selected from the Beijing Healthy Aging Cohort Study from July 2009 to September 2015. Remnant cholesterol (RC) was derived by calculation. The Cox proportional hazard regression models determined the HR and 95% CI incidating the associations of baseline different lipid indicators with cardio-cerebrovascular and all-cause mortality. Results:By March 31, 2021, with a mean follow-up duration of 6.88 years in the study population, a total of 492 cardio-cerebrovascular deaths and 1 056 all-cause deaths wre recorded. The HR values indicating the association between LDL-C, HDL-C, and RC were 0.87 (95% CI: 0.78-0.97), 0.46 (95% CI: 0.35-0.62), and 1.29 (95% CI: 1.14-1.45) for cardio-cerebrovascular mortality, respectively, and 0.93 (95% CI: 0.86-1.00), 0.66 (95% CI: 0.55-0.80) and 1.22 (95% CI: 1.12-1.33) for all-cause mortality. The associations of RC and HDL-C with cardio-cerebrovascular mortality were consistent regardless of hyperlipidemia in the elderly. Subgroup analyses showed that elevated RC was associated with increased risk for cardio-cerebrovascular mortality, and elevated HDL-C was associated with decreased risk for cardio-cerebrovascular mortality in the elderly in different gender, age, smoking status, drinking status, and diabetes status groups in communities of Beijing. Conclusion:RC might be a better potential lipid indicator for the risk for cardio-cerebrovascular mortality in the elderly in communities compared with traditional cholesterol indicator.