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: 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 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.

Objective To explore the clinical safety of plasma exchange(PE)combined with early continuous renal replacement therapy(CRRT)and its effects on coagulation and immune functions in patients with polytrauma and hypermyoglobinemia.Methods A non-randomized controlled study was conducted on 60 patients with severe polytrauma and myoglobinemia hospitalized in our department from January 2021 to December 2024.Based on different blood purification,the patients were divided a control group(CRRT)combined with conventional basic treatment,n=30)and an observation group(PE+CRRT and conventional basic treatment,n=30).Biochemical indicators(myoglobin,Mb),inflammation-related indicators,peripheral blood lymphocyte subsets,coagulation indicators,clinical-related indicators,and scores were observed and compared between the 2 groups before and after treatment.Results After 1,2 and 3 d of treatment,the levels of Mb,creatine kinase(CK),creatine kinase-MB isoenzyme(CK-MB),lactate dehydrogenase(LDH),serum creatinine(SCr),blood urea nitrogen(BUN),K+,C-reactive protein(CRP),procalcitonin(PCT),IL-6 and D-dimer(D-D),and white blood cell(WBC)count were significantly decreased in both groups(P<0.05).Among them,the observation group obtained obviously lower levels of all above indicators than the control group at the 3 time points(P<0.05).Additionally,notably shorter average length of total hospital stay,shorter average length of trauma intensive care unit stay,and lower score of acute physiology and chronic health evaluation Ⅱ(APACHEⅡ)was observed in the observation group than the control group(P<0.05).There were no statistical differences in coagulation function indicators or T lymphocyte subsets between the 2 groups.No complications occurred.Conclusion For patients with polytrauma and hypermyoglobinemia,early application of PE+CRRT can effectively reduce serum myoglobin level,improve serum biochemical inicators,renal function and inflammatory status,and maintain homeostasis,but shows no effect on immune or coagulation functions.This approach is worthy of promoting in clinical practice.

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.

The air-ground transfer device for patients with serious injury is one kind of medical equipment and system that can realize the safe and efficient transfer for patients with serious injury between the air and the ground under scenarios of emergency medical rescue,which plays an important role in the process of aviation rescue.At present,a variety of air-to-ground transport devices for patients with serious injury have been developed abroad,such as the trauma life support and transportation system of United States,the medical transport aircraft of Israel and so on.In China,it has also been developed,such as general-purpose airborne stretcher supports,life support system for patients with serious injury in moving,cross-platform and etc..However,there are still many challenges in current research and development of air-to-ground transfer devices,including technical stability,intelligent level,the application of new materials and so on.Based on this,this paper systematically reviewed the domestic and international development status of air-to-ground transport devices for patients with serious injury,and analyzed the facing problems and technical challenges of these devices,and discussed their development trends in future.Through the research and analysis for existing devices,this study aimed to provide references for the research and development of air-to-ground transport devices for patients with serious injury,so as to improve the efficiency and quality of emergency medical rescue.

Objective:To construct a deep learning model based on YOLOV8-Seg algorithm to conduct automatic segmentation for the central gland(CG)and peripheral zone(PZ)of prostate,so as to provide a reliable basis for clinical diagnosis and treatment.Methods:The sequence data of T2-weighted imaging(T2WI)of horizontal relaxation time of 158 patients were selected from a public data set of magnetic resonance imaging(MRI)for prostate MRI,which was provided by the Charité University Hospital in Berlin,were selected.The all data were divided into a training set(109 cases),a validation set(16 cases),and a test set(33 cases)as the ratio of 7 to1 to 2.A lightweight asymmetric decoupled head(LADH)structure and the large kernel UniRepLKNetBlock module were integrated into the YOLOV8-Seg algorithm to enhance the capabilities of model's extraction feature,and the new model was named as YOLOV8-URLK.The assessment model with mean Average Precision(mAP),Dice Similarity Coefficient(DSC),95%Hausdorff Distance(HD95),and Average Surface Distance(ASD)was adopted to segment performance of the detection at prostate CG and PZ.Comparative experiments were conducted among that and YOLOV8-Seg,TransU-Net,and U-Net network,so as to validate the effectiveness of YOLOV8-URLK for detection and segmentation at prostate zone.Results:On the test set,the mAP@0.5(box)of YOLOV8-URLK model was 0.878,and the mean Dice coefficients,the mean HD95 values and the ASD values of that at CG and PZ were respectively(0.867,17.123 and 1.461)and(14.902,0.898 and 1.112).On the test set,the mAP@0.5(box)of YOLOV8-Seg model was 0.860,and the mean Dice coefficients of that at CG and PZ were 0.851 and 0.884,the mean HD95 values of that at them were 19.174 and 15.298,and ASD values of that at them were 1.781 and 1.219,respectively.On test set,the mean Dice coefficients of TransU-Net model at CG and PZ were 0.864 and 0.824,and the mean HD95 values of that at them were 18.134 and 19.402,and ASD values of that at them were 1.698 and 1.717,respectively.On the test set,the mean Dice coefficients of the U-Net model at CG and PZ were 0.857 and 0.690,and the mean HD95 values of that at them were 18.976 and 26.934,and ASD values of that at them were 1.753 and 2.135.The YOLOV8-URLK model can better reappear the segmentation trend of manual annotations.Conclusion:The YOLOV8-URLK model demonstrates higher precision in the detection and segmentation of MRI images of prostate,which were superior to YOLOV8-Seg,TransU-Net and U-Net.It can enhance the efficiency of the detection and segmentation.

Objective:To develop an air transfer stretcher for severely injured patients,so as to meet the requirements of severely injured patients for rapid transport of aviation medical treatment.Methods:The guide rails of hatch of mainstream civil airliner models were analyzed through investigation.Based on the principles of modularization,integration and intelligence,a highly universal and portable aviation stretcher with the functions of rapid transport and life support was designed and developed.The design of the stretcher was verified through simulation analysis and calculation,as well as tests in laboratory,which should meet the requirements of the standards from China Civil Aviation Regulations(CCAR)-25.Results:The results of simulation analysis and tests of laboratory showed that the aviation transport stretcher,and the strength and stiffness of its structure reached to requirement of CCAR-25 standard,which was suit to the portable aviation evacuation of severely injured patients on civil airliners,and the rapid transfer between air and ground.It has the function of supporting life,and the aviation transport stretcher with high universality and convenience can enhance the safety and rescue capability of aviation evacuation system of medical treatment of aviation.Conclusion:The portable aviation stretcher with high-versatility that was researched and developed by this study can effectively solve the problems of life support,injury monitoring,and emergently rescue and treatment during the transport for severely injured patients,which improve the support ability of air-ground transportation for severely injured patients.

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.