Objective: To investigate the characteristics and trend of stroke incidence in Yixing City, Jiangsu Province from 2016 to 2023, so as to provide the reference for formulating prevention and control strategies of stroke. Methods: Data of stroke case in Yixing City from 2016 to 2023 were collected from the National Health Information Platform of Yixing City, including sex, age, time of onset, and diagnostic subtypes. Crude incidence was standardized using the data from the 2010 Chinese National Population Census to analyze the characteristics of stroke incidence. The incidence trend of stroke was analyzed by average annual percent change (AAPC). Results: A total of 54 157 stroke cases were reported in Yixing City from 2016 to 2023, with a crude incidence of 629.52/100 000 and a standardized incidence of 299.50/100 000, showing an upward trend (AAPC=9.744% and 5.955%, both P<0.05). The crude and standardized incidence of stroke in males were significantly higher than those in females (695.30/100 000 vs. 565.79/100 000, 328.73/100 000 vs. 270.71/100 000, both P<0.05). Stroke incidence exhibited an age-dependent increase (P<0.05), peaking in the ≥60 years age group (1 820.43/100 000). The crude and standardized incidence of ischemic stroke (555.46/100 000 and 262.26/100 000) were significantly higher than those of hemorrhagic stroke (52.80/100 000 and 28.03/100 000, both P<0.05). From 2016 to 2023, the standardized incidences of stroke in males, females, the 0-<40 years age group, the 40-<60 years age group, the ≥60 years age group, and ischemic stroke all showed an upward trend (AAPC=6.692%, 4.925%, 5.607%, 5.777%, 5.698%, and 8.481%, respectively, all P<0.05). No significant temporal trend was observed for hemorrhagic stroke incidence (P>0.05). Conclusions The incidence of stroke among residents in Yixing City showed an upward trend from 2016 to 2023, with males and elderly individuals being high-risk populations. Ischemic stroke emerged as the predominant subtype, while a concerning trend of increasing stroke incidence among younger adults was observed.

AIM To establish the quantitative models for gallic acid,mononucleoside,loganin,resveratrol,and rhein in Yishen Xiezhuo Mixture.METHODS HPLC was adopted in the content determination of various effective components,after which the near-infrared spectroscopy(NIRS)data were collected in 128 batches of samples and pretreatment was conducted,competitive adaptive reweighting sampling(CARS)algorithm was used for screening wavelength,partial least square method(PLS)regression analysis was performed.RESULTS There were no significant differences between the predicted values obtained by PLS models and measured values obtained by HPLC for various effective components(P＞0.05).CONCLUSION The quantitative models established by NIRS combined with chemometrics display good predictive performance,which can be used for the rapid determination of effective components in Yishen Xiezhuo Mixture,and provide a reference for the rapid monitoring of other traditional Chinese medicine preparations in production processes.

Objective To analyze the diagnostic value of fat content measurement based on magnetic resonance multi-echo Dixon(ME-Dixon)technique combined with serological indicators for early liver fibrosis.Methods A total of 78 patients with early liver fibrosis who underwent liver biopsy at the First Affiliated Hospital of Army Medical University from August 2019 to October 2021 were included.According to the pathological results,the patients with early liver fibrosis were divided into the S0 group(n=21),the S1 group(n=32),and the S2 group(n=25).Meanwhile,the complete imaging examination results(including ME-Dixon sequence)and laboratory examination results[including hyaluronic acid(HA),procollagen Ⅲ(PCⅢ),collagen Ⅳ(CⅣ),laminin(LN),aspartate transaminase(AST),alanine amino-transferase(ALT),gamma-glutamyl transferase(GGT),alkaline phosphatase(ALP)]were collected.And the hepatic fat fraction(HFF)was measured by ME-Dixon technique.One-way ANOVA was used to analyze the differences in HFF and serological indicators among the three groups,and then factors with statistical differences in the univariate analysis were selected to draw receiver operating characteristic(ROC)curve,and the area under the curve(AUC)was calculated to evaluate their value in the diagnosis of liver fibrosis and the degree of early liver fibrosis.Results There was no statistically significant difference in the PCⅢ,LN,AST,or ALT among the S0,S1,and S2 groups(P>0.05),while there were statistically significant differences in the HFF,HA,CⅣ,GGT,and ALP(P<0.05),and the levels of HA,CⅣ,GGT,and ALP in the S2 group were significantly higher than those in the S0 and S1 groups(P<0.05).ROC curve analysis showed that the above indicators for diagnosing liver fibrosis and the degree of early liver fibrosis based on AUC values were in the following order:HFF+GGT(0.72)>HFF(0.68)>GGT(0.61)>CⅣ(0.54)>ALP(0.53)>HA(0.48)and HA+CⅣ(0.71)>CⅣ(0.68)>HA(0.66)>GGT(0.61)>ALP(0.59)>HFF(0.46).Conclusion The fat content measurement based on magnetic resonance ME-Dixon tech-nique combined with serological indicators has significant reference value for the diagnosis of early liver fibrosis,and it plays a certain guid-ing role in clinical diagnosis and treatment.

Objective:To evaluate the impact of short-term exposure to daytime heatwaves, nighttime heatwaves, and compound heatwaves on the risk of road traffic mortality and calculate the attributable mortality burden.Methods:This study collected road traffic mortality data from the Disease Surveillance System in Guangdong, Hunan, Zhejiang, Yunnan, and Jilin Provinces from 2013 to 2018. A time-stratified case-crossover design was used in this study, with the death date for each case serving as the case day. Control days were selected from the same year, month, and day of the week as the case day. A conditional logistic regression model was employed to estimate the cumulative associations of short-term exposure to daytime heatwaves, nighttime heatwaves, and compound heatwaves on the risk of road traffic mortality (lag 0-1 day) and to calculate the attributable fractions (AF).Results:Compared to non-heatwave days, the excess risk ( ER) of road traffic mortality on daytime heatwave days, nighttime heatwave days, and compound heatwave days was 5.3% (95% CI: 0.5%-10.2%), 4.9% (95% CI: 0.5%-9.4%) and 7.5% (95% CI: 2.3%- 12.9%), with corresponding AF of 5.0% (95% CI: 0.5%-9.3%), 4.7% (95% CI: 0.5%-8.6%), and 6.9% (95% CI: 2.3%-11.4%), respectively. Stratified analysis showed that the risk of traffic mortalities caused by daytime heatwaves was higher in females ( ER=15.7%, 95% CI: 5.8%-26.5%) than in males ( ER=1.8%, 95% CI: -3.6%-7.4%). Elderly individuals over 64 years old ( ER=10.9%, 95% CI: 0.3%- 22.6%) had a higher risk of road traffic mortalities from compound heatwaves than those under 45 years old ( ER=2.6%, 95% CI: -5.4%-11.2%). The risk of road traffic injury mortality from motor vehicle accidents caused by compound heatwaves ( ER=16.6%, 95% CI:2.4%-32.7%) was higher than that from non-motor vehicle accidents ( ER=5.7%, 95% CI:0.1%-11.5%). Conclusions:Short-term exposure to daytime heatwaves, nighttime heatwaves, and compound heatwaves was associated with an increased risk of road traffic mortality, with the strongest association observed for compound heatwaves. The mortality burden attributable to compound heatwaves was higher than that for daytime and nighttime heatwaves. Heatwaves were more significantly associated with road traffic mortality risk among females, elderly individuals over 64 years old, and motor vehicle accidents.

Objective:To summarize the progress in the research of textual quality evaluation of health-related media reports.Methods:A systematic literature retrieval about textual quality evaluation of health-related media reports based on PubMed, Web of Science, Embase, Wanfang database, and China National Knowledge Infrastructure was conducted. Information regarding the textual quality definition, evaluation dimensions, indicators and methods of included papers was extracted.Results:A total of 29 study papers were included in this analysis, in which 26 were about retrospective textual quality evaluation of health-related media reports, and 3 were about the model or tool development for textual quality evaluation of health-related media reports. The topics of news reports included: 16 studies on injury, 3 on general health, 3 on infectious disease, 3 on cancer screening and treatment, 3 on chronic non-communicable disease, and 1 on medication risk. The definition of textual quality of health-related media reports and the dimensions of the quality evaluation varied across the studies. The quality evaluation indicators of media reports can be divided into three categories: availability of surveillance information, availability of professional information, and adherence to principles of media reporting. Most studies conducted the quality evaluation manually, with only 2 studies employing semi-automated or automated evaluation methods.Conclusions:No unified definition, set of dimensions, indicators, or automated algorithms exist for evaluating the textual quality of health-related media reports, which limits assessing massive news data effectively. It is necessary to conduct methodological studies on the textual quality evaluation of health-related media reports based on journalism and communication theory, infodemiology, deep learning, natural language processing, text mining, as well as specific disease and injury prevention theory.

Objective:To investigate disease characteristics of patients with psoriatic arthritis (PsA) based on the PsA cohort in West China Hospital, so as to provide a reference for clinicians in its diagnosis, treatment, and evaluation strategy formulation.Methods:A cross-sectional study was carried out, and a descriptive analysis was conducted on clinical data from PsA patients who were treated at the Department of Dermatology, West China Hospital, Sichuan University between April 2, 2020, and January 21, 2025. Demographic characteristics, clinical manifestations, laboratory and imaging findings, and treatment modalities were analyzed.Results:A total of 530 PsA patients were included, of whom 332 (62.6%) were males and 198 (37.4%) were females, with ages of 44.1 ± 12.4 years. Skin lesions preceded joint symptoms in 452 patients (85.3%), with time intervals ( M [ Q1, Q3]) of 8.0 (3.0, 15.0) years. Overweight or obesity was observed in 319 patients (60.2%), and 188 (35.5%) had comorbid fatty liver. Peripheral joint involvement was common (485 cases, 91.5%), with the proximal interphalangeal joints being most frequently affected by tenderness (172 cases, 35.5%) and swelling (119 cases, 24.5%) ; the number of enthesitis cases identified by ultrasonography (116 cases, 23.9%) was significantly higher than that by clinical examination (82 cases, 15.5%) ; axial joint involvement was observed in 258 patients (48.7%), with the sacroiliac joints most commonly affected (201 cases, 77.9%). Regarding treatment, conventional systemic drugs were predominant in the treatment of psoriasis prior to the diagnosis of PsA; after the diagnosis of PsA, the number of patients receiving targeted therapies increased to 334 (63.0%), with interleukin-17 inhibitors being the most common (140 cases, 26.4%), followed by tumor necrosis factor-α inhibitors (106 cases, 20.0%) and Janus kinase inhibitors (39 cases, 7.4%) . Conclusions:PsA predominantly affects males over 40 years old and is characterized by preceding skin lesions, delayed diagnosis, and multiple comorbidities. High-frequency ultrasound has advantages in the early detection of peripheral enthesitis. Further attention is needed for managing comorbidities such as fatty liver and obesity-related metabolic conditions.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

OBJECTIVES: To explore potential keywords, research clusters, collaborative pattern, and research trends in the field of medical technology management (MTM) through bibliometric analysis, providing insights for researchers, policy makers, and hospital administrators. METHODS: A retrieval formula was applied to the title, abstract, and keywords in the Web of Science (WoS) Core Collection, along with system-recommended terms, to identify articles on MTM. A total of 181 articles published between 1974 and 2022 were retained for quantitative analysis. The global trend of research output; total citations, average citations, and H-index; and bibliographic coupling, co-authorship, and keyword co-occurrence were analyzed using VOSviewer. RESULTS: The number of articles on MTM has been steadily increasing year by year. The focus of research has shifted from addressing basic medical needs to prioritizing emergency response and medical information security. The United States, Italy, and the United Kingdom emerged as the main contributors, with the United States leading in both volume of publications (60 articles) and academic impact (H-index = 21). Authors from the United Kingdom and the United States led the way in cross-border cooperation. The top five institutions, ranked by total link strength among cross-institutional authors, were primarily located in Canada and Spain. CONCLUSIONS The field of MTM has experienced stable growth over the past three decades (1993-2022). The shift of research focus has prompted a heightened emphasis on protecting patient privacy and ensuring the security of medical data. Future research should emphasize interdisciplinary and professional collaboration, as well as international cooperation and open sharing of knowledge.
Bibliometrics ; Humans ; Biomedical Technology

Fangcang shelter hospitals are modular, rapidly deployable facilities that play a vital role in pandemic response by providing centralized isolation and basic medical care for large patient populations. Artificial intelligence (AI) has the potential to transform Fangcang shelter hospitals into intelligent, responsive systems that are capable of significantly improving emergency preparedness, operational efficiency, and patient outcomes. Key application areas include site selection and design optimization, clinical decision support, AI-assisted clinical documentation and patient engagement, intelligent robotics, and operational management. However, realizing AI's full potential requires overcoming several challenges, including limited data accessibility, privacy and governance concerns, inadequate algorithmic adaptability in dynamic emergency settings, insufficient transparency and accountability in AI-driven decisions, fragmented system architectures due to proprietary formats, high costs disproportionate to the temporary nature of Fangcang shelter hospitals, and hardware reliability in austere environments. Addressing these challenges demands standardized data-sharing frameworks, development of explainable and robust AI algorithms, clear ethical and legal oversight, interoperable modular system designs, and active collaboration among multidisciplinary stakeholders.
Artificial Intelligence ; Humans ; Emergency Shelter ; China ; Hospitals ; COVID-19

OBJECTIVES: To investigate the relationship between the polygenic risks for various psychiatric disorders and clinical and neuropsychological characteristics in children with attention-deficit/hyperactivity disorder (ADHD). METHODS: Using a cross-sectional design, 285 children with ADHD and 107 healthy controls were assessed using the Child Behavior Checklist, the Behavior Rating Inventory of Executive Function for parents, the Wechsler Intelligence Scale for Children, Fourth Edition, and the Cambridge Neuropsychological Test Automated Battery. Blood samples were collected for genetic data. Polygenic risk scores (PRSs) for various psychiatric disorders were calculated using the PRSice-2 software. RESULTS: Compared with the healthy controls, the children with ADHD displayed significantly higher PRSs for ADHD, major depressive disorder, anxiety disorder, and obsessive-compulsive disorder (P<0.05). In terms of daily-life executive function, ADHD-related PRS was significantly correlated with the working memory factor; panic disorder-related PRS was significantly correlated with the initiation factor; bipolar disorder-related PRS was significantly correlated with the shift factor; schizophrenia-related PRS was significantly correlated with the inhibition, emotional control, initiation, working memory, planning, organization, and monitoring factors (P<0.05). The PRS related to anxiety disorders was negatively correlated with total IQ and processing speed index (P<0.05). The PRS related to obsessive-compulsive disorder was negatively correlated with the processing speed index and positively correlated with the stop-signal reaction time index of the stop-signal task (P<0.05). CONCLUSIONS PRSs for various psychiatric disorders are closely correlated with the behavioral and cognitive characteristics in children with ADHD, which provides more insights into the heterogeneity of ADHD.
Humans ; Attention Deficit Disorder with Hyperactivity/genetics* ; Child ; Male ; Female ; Cross-Sectional Studies ; Neuropsychological Tests ; Multifactorial Inheritance ; Adolescent ; Mental Disorders/etiology* ; Executive Function ; Genetic Risk Score