Background Microparticles (MPs) are one of the main medium of inflammatory reaction with an important role in atherosclerotic progression. Studies on association of air pollution exposure and levels of peripheral blood MPs are limited among human. Objective To evaluate the effects of short-term exposure to air pollution on levels of peripheral blood MPs. Method A panel of 73 healthy adults was followed with 4 repeated follow-ups in Beijing, China, from November 2014 to January 2016. During each visit, we collected questionnaire information, fasting venous blood, urine, and exposures to fine particulate matter (PM_2.5), black carbon, nitric oxide, nitrogen dioxide, nitrogen oxide, sulfur dioxide, carbon monoxide, and ozone. We used linear mixed-effect models to analyze associations of air pollution exposure with levels of total MPs (TMPs) and MPs derived from various cells. Stratified analysis was conducted by levels of C-reactive protein (CRP) and malondialdehyde (MDA). Results The results showed significant associations between air pollution exposure and peripheral blood TMPs at 2 h-6 d prior to the follow-ups (P<0.05), while no statistical associations were found for MPs derived from different cell types. Significant increases in TMPs of 7.8% (95%CI: 0.7%, 15.3%) and 14.3% (95%CI: 2.8%, 27.2%) were observed with each interquartile range (IQR) increase in PM_2.5 (IQR=64.9 μg·m⁻³) at prior 18 h and NO (IQR=40.5 μg·m⁻³) at prior 48 h. Among participants with low levels of CRP and MDA, significantly positive associations were observed between air pollution exposure and levels of TMPs (P<0.05). Conclusion Short-term exposure to air pollution is significantly associated with increased levels of circulating MPs in healthy adults, and in people with lower systemic inflammation, peripheral blood MPs levels are more easily affected after exposure to air pollutants.

Background Air pollution has widespread adverse health effects on human health, but research on its impact on reproductive health and related physiological mechanisms remains insufficient. Objective To investigate the associations between short-term exposure to particulate matter and nitrogen dioxide (NO₂) and serum levels of anti-Müllerian hormone (AMH) and testosterone in healthy adults. Methods A total of 152 healthy adults were recruited for a panel study, undergoing four follow-up visits from September 2019 to January 2020. Basic demographic information and serum samples were collected. Reproductive hormone levels were measured by enzyme-linked immunosorbent assay kits. Concurrently, environmental data in the study area were monitored, including fine particulate matter (PM_2.5), black carbon (BC), NO₂, particle number concentrations in the 5-560 nm size fraction (PNC_{5_560}), and meteorological variables. Linear mixed-effects models were constructed to estimate the effects of short-term exposure to these particulate matter on serum reproductive hormone levels. Results The participants had an average age of (23.9±2.4) years, with 102 women. For each interquartile range (IQR) increment in pollutant moving average concentrations, PM_2.5, PNC_{5_25}, PNC_{100_560}, BC, and NO₂ were associated with relative decreases in female serum AMH levels by 10.2%-16.9%, 46.2%-58.0%, 16.9%-21.2%, 14.8%-26.5%, and 11.3%-17.6%, respectively. These negative associations were stronger in females with waist-to-hip ratio > 0.76 and physical activity levels ≤ 1217 metabolic equivalents (MET) min per week. Similarly, in males, an IQR increase in the same pollutants was associated with relative decreases in serum free testosterone by 11.1%-17.2%, 35.2%, 10.5%-18.9%, 18.7%-24.2%, and 10.3%-26.0%, respectively. These effects were more pronounce in male with a waist-to-hip ratios > 0.81 and physical activity levels ≤ 1498 MET-min per week. Conclusion Short-term exposure to particulate matter and NO₂ may reduce serum levels of AMH and testosterone in healthy adults. Furthermore, these adverse effects appears to be stronger in adults with higher waist-to-hip ratios.

BACKGROUND: Spicy food consumption has been reported to be inversely associated with mortality from multiple diseases. However, the effect of spicy food intake on the incidence of vascular diseases in the Chinese population remains unclear. This study was conducted to explore this association. METHODS: This study was performed using the large-scale China Kadoorie Biobank (CKB) prospective cohort of 486,335 participants. The primary outcomes were vascular disease, ischemic heart disease (IHD), major coronary events (MCEs), cerebrovascular disease, stroke, and non-stroke cerebrovascular disease. A Cox proportional hazards regression model was used to assess the association between spicy food consumption and incident vascular diseases. Subgroup analysis was also performed to evaluate the heterogeneity of the association between spicy food consumption and the risk of vascular disease stratified by several basic characteristics. In addition, the joint effects of spicy food consumption and the healthy lifestyle score on the risk of vascular disease were also evaluated, and sensitivity analyses were performed to assess the reliability of the association results. RESULTS: During a median follow-up time of 12.1 years, a total of 136,125 patients with vascular disease, 46,689 patients with IHD, 10,097 patients with MCEs, 80,114 patients with cerebrovascular disease, 56,726 patients with stroke, and 40,098 patients with non-stroke cerebrovascular disease were identified. Participants who consumed spicy food 1-2 days/week (hazard ratio [HR] = 0.95, 95% confidence interval [95% CI] = [0.93, 0.97], P <0.001), 3-5 days/week (HR = 0.96, 95% CI = [0.94, 0.99], P = 0.003), and 6-7 days/week (HR = 0.97, 95% CI = [0.95, 0.99], P = 0.002) had a significantly lower risk of vascular disease than those who consumed spicy food less than once a week ( Ptrend <0.001), especially in those who were younger and living in rural areas. Notably, the disease-based subgroup analysis indicated that the inverse associations remained in IHD ( Ptrend = 0.011) and MCEs ( Ptrend = 0.002) risk. Intriguingly, there was an interaction effect between spicy food consumption and the healthy lifestyle score on the risk of IHD ( Pinteraction = 0.037). CONCLUSIONS Our findings support an inverse association between spicy food consumption and vascular disease in the Chinese population, which may provide additional dietary guidance for the prevention of vascular diseases.
Humans ; Male ; Female ; Prospective Studies ; Middle Aged ; Aged ; Vascular Diseases/etiology* ; Risk Factors ; China/epidemiology* ; Adult ; Proportional Hazards Models ; Cerebrovascular Disorders/epidemiology* ; East Asian People

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

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.

Macrophage polarization is involved in the entire process of the occurrence and development of knee osteoarthritis(KO A).By polarizing into distinct functional phenotypes,macrophages play key regulatory roles in the initiation of inflammation,matrix degradation,suppression of cartilage formation,and progression of the disease.The M1-type macrophages secrete numerous pro-inflammatory cytokines to exacerbate the inflammatory responses and promote the destruction of articular cartilage.Conversely,the M2-type macrophages help maintain the extracellular matrix homeostasis and facilitate cartilage formation by releasing anti-inflammatory factors while suppressing the secretion of inflammatory factors,thereby exerting anti-inflammatory effects and promoting tissue repair.Recent studies have shown that an imbalanced ratio of M1/M2 macrophages(M1/M2 ratio)is closely linked with both the pathogenesis and progression of KO A.Restoration of the dynamic balance between these two subtypes could be an essential strategy for treating and preventing KO A.This article reviewed the current literatures retrieved from PubMed and CNKI databases using the keywords"knee osteoarthritis"and"macrophages"over the past decade.The review introduced the process of macrophage polarization and the mechanisms of different macrophage phenotypes in KOA,and further discussed the recent advances in modulating the M1/M2 ratio for KOA management through chemical drugs,bioactive molecules,and traditional Chinese medicine and so on,aiming to provide the theoretical insights for future research and clinical interventions.

Objective To analyze the level of occupational health literacy (OHL) and mental health status in key populations in Jiangsu Province, and explore the impact of OHL on occupational stress, depressive symptoms, anxiety symptoms and insomnia symptoms. Methods A total of 11 181 workers from Jiangsu Province from April to December 2023 were selected as the research subjects using a combination of stratified cluster random sampling and probability proportional sampling method. The OHL levels of the workers, as well as their occupational stress, depression symptoms, anxiety symptoms and insomnia symptoms, were investigated using the Occupational Health Literacy Questionnaire of National Key Populations (including Occupational Health Literacy Scale, Core Occupational Stress Scale, Patient Health Questionaire-9, Generalized Anxiety Disorder 7-item Scale, and Self-Sleep Management Questionnaire). Results The OHL level of the research subjects was 41.7%, and the literacy levels of the four dimensions of occupational health legal knowledge, basic knowledge of occupational health protection, basic skills of occupational health protection, and healthy working style and behavior were 40.6%, 76.4%, 28.0% and 54.4%, respectively. The detection rates of occupational stress, depression symptoms, anxiety symptoms and insomnia symptoms were 21.8%, 17.7%, 26.4% and 29.6%, respectively. The result of multivariable logistic analysis showed that participants with adequate OHL had a lower risk of occupational stress, depressive symptoms, anxiety symptoms, and insomnia symptoms than those without adequate OHL (all P<0.01) after controlling individual and occupational confounding factors. The odds ratios and their 95% confidence intervals were 0.448(0.402-0.499), 0.664(0.593-0.742), 0.705(0.639-0.777) and 0.885(0.809-0.969), respectively. Conclusion OHL is an independent influencing factor for occupational stress, depressive symptoms, anxiety symptoms and insomnia symptoms in key populations from Jiangsu Province. Effective measures should be taken to improve the OHL level of workers, to reduce the risks of occupational stress, depressive symptoms, anxiety symptoms and insomnia symptoms.

Objective To understand the current status and influencing factors of microbial contamination of dental unit waterlines(DUWLs)of secondary and lower medical institutions in Wuhan,and provide scientific basis for for-mulating prevention and control measures.Methods A stratified convenience sampling method was adopted to con-duct questionnaire survey on 248 dental medical institutions in 15 districts of Wuhan City,DUWLs from 44 medical institutions were sampled and detected according to hospital levels.Results Among disinfection and maintenance management measures for source water and waterlines,the highest implementation rate was the installation rate of anti-suction dental handpiece(73.39％,182/248),but only 16.48％(30/182)of institutions regularly conducted the detection on anti-suction function;The lowest was the daily disinfection rate of water storage tanks(17.53％,17/97).A total of 132 water specimens were collected from 44 medical institutions,with a qualified rate of microbi-al detection of 56.06％.The qualified rates for secondary,primary,and unclassified medical institutions were 77.78％,50.00％,and 50.72％,respectively,with statistically significant differences(P＜0.05).The qualified rates of microbial detection for source water,handpiece water,and three-way syringe water were 59.09％,50.00％,and 59.09％,respectively,with no statistically significant difference(P＞0.05).Univariate analysis re-sults showed that medical institutions that regularly conducted chemical disinfection on DUWLs,understood DU-WLs waterline cleaning and disinfection standards,regularly performed microbial monitoring on diagnosis and treat-ment water,qualified source water,and flushed waterlines for 3 minutes before and after daily consultations had a higher qualified rate of microbial detection in DUWLs diagnosis and treatment water,and the differences were all statistically significant(all P＜0.05).Conclusion The contamination status of DUWLs in secondary and lower medical institutions in Wuhan is relatively serious.It is recommended to focus on strengthening the training of rele-vant regulations,installing inlet filters,regularly detecting the anti-suction function of dental handpieces,imple-menting chemical disinfection and microbial monitoring on waterlines,standardizing the implementation of flushing before and after diagnosis and treatment,and strengthening the disinfection and use management of independent wa-ter storage tanks to control contamination.

Objective To explore the survival prediction value of the prognostic immune-inflammatory-nutritional(PIIN)score for patients undergoing radical gastrectomy and construct a prognostic prediction model.Methods To retrospectively analyze the clinical data of 406 patients who underwent radical gastrectomy.Calculate the PIIN score based on fibrinogen(FIB),neutrophil to lymphocyte ra-tio(NLR),systemic immune-inflammation index(SII),albumin-bilirubin(ALBI)score,and prognostic nutritional index(PNI).According to the threshold of 31.4906,the patients were divided into the high-PIIN group and the low-PIIN group.Conduct univariate and multivariate analyses using COX regression analysis,draw the time-dependent receiver operating characteristic(TIME ROC)curve,and compare the prognostic values of various scoring systems.To construct a nomogram based on the PIIN score for risk grouping and sur-vival analysis.Results Multivariate analysis showed that nerve invasion or not,degree of differentiation,T stage,N stage,adjuvant chemotherapy status,and PIIN score were independent independent factors for the overall survival rate of gastric cancer patients.TIME ROC curve analysis indicated that the PIIN score was superior to other scoring systems in predicting survival.The areas under the curves(AUC)of the 1-year,3-year,and 5-year ROC curvesof the nomogram were 0.788,0.794 and 0.854 respectively.Moreover,there was a statistically significant difference in survival prognosis among different risk groups(P＜0.0001).Conclusion The nomogram model based on the PIIN score has good predictive ability in predicting the survival of patients undergoing radical gastrectomy for gastric cancer.