Objective To investigate the epidemiological characteristics of dengue fever in Shenzhen City in 2024, so as to provide insights into formulation of the preventive and control measures for dengue fever. Methods The epidemiological data of dengue cases reported in Shenzhen City in 2024 were extracted from the China Disease Prevention and Control Information System and field epidemiological survey data of dengue fever in Shenzhen City, and the temporal, regional and population distributions of dengue fever cases, source of acquire dengue virus infections, disease diagnosis and treatment and outbreaks were analyzed. The dengue virus nucleic acid was tested and the serotypes of dengue virus were characterized using real-time quantitative reverse transcription PCR (RT-qPCR) assay, and the dengue virus gene was sequenced using next-generation sequencing (NGS). In addition, the surveillance on the density of Aedes albopictus was performed using Breteau index (BI) and mosquito oviposition index (MOI). Results A total of 1 735 dengue fever cases were reported in Shenzhen City in 2024, including 952 local cases and 783 imported cases. Most imported dengue fever cases acquired infections from eight cities of Foshan, Guangzhou, Zhongshan, Jiangmen, Dongguan, Zhaoqing, Huizhou, and Zhuhai in the Pearl River Delta region (664 cases, 84.8% of total imported cases) into Baoan, Longgang, and Nanshan districts. The epidemic exhibited an early onset and rapid progression, peaking during the period between September and November (1 632 cases, 94.1% of total cases), and dengue fever cases were distributed across 73 subdistricts in 10 districts, with most cases reported in densely populated central and western regions. The dengue fever cases had a male-to-female ratio of 1.9∶1.0, and a median age of 37 (21) years, with a higher median age among local cases than among imported cases [40 (20) years vs. 33(15) years; Z = -10.30, P < 0.05]. Housework, unemployment, workers, and business service were predominant occupations (1 405 cases, 81.0% of total cases), and there was a significant difference in the constituent ratio of occupations between local and imported cases (χ² = 92.30, P < 0.05). Among the 1 735 dengue fever cases, the median duration from onset to definitive diagnosis was 3.3 (2.9) days, and 1 686 cases (97.2%) were identified in healthcare facilities, with a low rate of hospitalization and isolation seen in 1 701 inpatients with available epidemiological data (485 cases, 28.5% of total inpatients). A total of 29 outbreaks of dengue fever occurred in Shenzhen City across 2024, which primarily in construction sites (27 outbreaks, 93.1% of total). Dengue virus type I was the dominant serotype causing dengue fever in Shenzhen City in 2024. Sequencing showed that the genomes of dengue virus from multiple dengue fever cases in Shenzhen City shared a high sequence homology with those from cities neighboring Shenzhen City, and there might be intra-city transmission of dengue virus among multiple construction sites in Shenzhen City. The Aedes albopictus density was significantly higher in Shenzhen City in 2024 than in 2023, peaking from May to September. The annual MOI values ranged from 0.9 to 14.0, and the BI values ranged from 0.6 to 6.0. Conclusions The overall epidemic of dengue fever was severe in Shenzhen City in 2024, which was greatly affected by case importation from neighboring cities, construction sites-centered local transmission, and the effectives of routine mosquito vector control was not satisfactory. Integrated dengue fever control measures should be implemented, focusing on regional joint prevention and control mechanisms, capacity building for mosquito vector control, addressing challenges in epidemic containment at construction sites, and strengthening case detection and management systems.

PURPOSE: To judge the injury mode and injury severity of the real human body through the measured values of anthropomorphic test devices (ATD) injury indices, the mapping relationship of lumbar injury between ATD and human body model (HBM) was explored. METHODS: Through the ATD model and HBM simulation, the mapping relationship of lumbar injury between the 2 subjects was explored. The sled environment consisted of a semi-rigid seat with an adjustable seatback angle and a 3-point seat belt system with a seatback-mounted D-ring. Three seatback recline states of 25°, 45°, and 65° were designed, and the seat pan angle was maintained at 15°. A 23 g, 47 km/h pulse was used. The validity of the finite element model of the sled was verified by the comparison of ATD simulation and test results. ATD model was the test device for human occupant restraint for autonomous vehicles (THOR-AV) dummy model and HBM was the total human model for safety (THUMS) v6.1. The posture of the 2 models was adjusted to adapt to the 3 seat states. The lumbar response of THOR-AV and the mechanical and biomechanical data on L1 - L5 vertebrae of THUMS were output, and the response relationship between THOR-AV and THUMS was descriptive statistically analyzed. RESULTS: Both THOR-AV and THUMS were submarined in the 65° seatback angle case. With the change of seatback angle, the lumbar spine axial compression force (F_z) of THOR-AV and THUMS changed in the similar trend. The maximum F_z ratio of THOR-AV to THUMS at 25° and 45° seatback angle cases were 1.6 and 1.7. The flexion moment (M_y) and the time when the maximum M_y occurred in the 2 subjects were very different. In particular, the form of moment experienced by the L1 - L5 vertebrae of THUMS also changed. The changing trend of M_y measured by THOR-AV over time can reflect the changing trend of maximum stress of L1 and L2 of THUMS. CONCLUSION The F_z of ATD and HBM presents a certain proportional relationship, and there is a mapping relationship between the 2 subjects on F_z. The mapping function can be further clarified by applying more pulses and adopting more seatback angles. It is difficult to map M_y directly because they are very different in ATD and HBM. The M_y of ATD and stress of HBM lumbar showed a similar change trend over time, and there may be a hidden mapping relationship.
Humans ; Lumbar Vertebrae/injuries* ; Finite Element Analysis ; Biomechanical Phenomena ; Manikins ; Spinal Injuries/physiopathology*

This consensus will introduce the characteristics of fillers used in the surgical cavities of domestic nasal surgery patients based on relevant literature and expert opinions. It will also provide recommendations for the selection of cavity fillers for different nasal diseases, with chronic sinusitis as a representative example.
Humans ; Nasal Cavity/surgery* ; Nasal Surgical Procedures ; China ; Consensus ; Sinusitis/surgery* ; Dermal Fillers

Patients suffering from nerve injury often experience exacerbated pain responses and complain of memory deficits. The dorsal hippocampus (dHPC), a well-defined region responsible for learning and memory, displays maladaptive plasticity upon injury, which is assumed to underlie pain hypersensitivity and cognitive deficits. However, much attention has thus far been paid to intracellular mechanisms of plasticity rather than extracellular alterations that might trigger and facilitate intracellular changes. Emerging evidence has shown that nerve injury alters the microarchitecture of the extracellular matrix (ECM) and decreases ECM rigidity in the dHPC. Despite this, it remains elusive which element of the ECM in the dHPC is affected and how it contributes to neuropathic pain and comorbid cognitive deficits. Laminin, a key element of the ECM, consists of α-, β-, and γ-chains and has been implicated in several pathophysiological processes. Here, we showed that peripheral nerve injury downregulates laminin β1 (LAMB1) in the dHPC. Silencing of hippocampal LAMB1 exacerbates pain sensitivity and induces cognitive dysfunction. Further mechanistic analysis revealed that loss of hippocampal LAMB1 causes dysregulated Src/NR2A signaling cascades via interaction with integrin β1, leading to decreased Ca²⁺ levels in pyramidal neurons, which in turn orchestrates structural and functional plasticity and eventually results in exaggerated pain responses and cognitive deficits. In this study, we shed new light on the functional capability of hippocampal ECM LAMB1 in the modulation of neuropathic pain and comorbid cognitive deficits, and reveal a mechanism that conveys extracellular alterations to intracellular plasticity. Moreover, we identified hippocampal LAMB1/integrin β1 signaling as a potential therapeutic target for the treatment of neuropathic pain and related memory loss.
Animals ; Laminin/genetics* ; Hippocampus/metabolism* ; Neuralgia/metabolism* ; Cognitive Dysfunction/etiology* ; Male ; Peripheral Nerve Injuries/metabolism* ; Extracellular Matrix/metabolism* ; Integrin beta1/metabolism* ; Pyramidal Cells/metabolism* ; Signal Transduction

This study aimed to comprehensively examine the association of gallstones, cholecystectomy, and cancer risk. Multivariable logistic regressions were performed to estimate the observational associations of gallstones and cholecystectomy with cancer risk, using data from a nationwide cohort involving 239 799 participants. General and gender-specific two-sample Mendelian randomization (MR) analysis was further conducted to assess the causalities of the observed associations. Observationally, a history of gallstones without cholecystectomy was associated with a high risk of stomach cancer (adjusted odds ratio (aOR)=2.54, 95% confidence interval (CI) 1.50-4.28), liver and bile duct cancer (aOR=2.46, 95% CI 1.17-5.16), kidney cancer (aOR=2.04, 95% CI 1.05-3.94), and bladder cancer (aOR=2.23, 95% CI 1.01-5.13) in the general population, as well as cervical cancer (aOR=1.69, 95% CI 1.12-2.56) in women. Moreover, cholecystectomy was associated with high odds of stomach cancer (aOR=2.41, 95% CI 1.29-4.49), colorectal cancer (aOR=1.83, 95% CI 1.18-2.85), and cancer of liver and bile duct (aOR=2.58, 95% CI 1.11-6.02). MR analysis only supported the causal effect of gallstones on stomach, liver and bile duct, kidney, and bladder cancer. This study added evidence to the causal effect of gallstones on stomach, liver and bile duct, kidney, and bladder cancer, highlighting the importance of cancer screening in individuals with gallstones.
Humans ; Mendelian Randomization Analysis ; Gallstones/complications* ; Female ; Male ; Cholecystectomy/statistics & numerical data* ; Middle Aged ; Risk Factors ; Aged ; Adult ; Neoplasms/etiology* ; Stomach Neoplasms/epidemiology*

The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence ; Humans ; Delivery of Health Care ; Generative Artificial Intelligence

OBJECTIVE To investigate the current situation of pharmaceutical clinic service in medical institutions in China and provide experience and suggestions for promoting the development of pharmaceutical clinics. METHODS Questionnaire survey was used to investigate the development of pharmaceutical clinics in medical institutions of 31 provinces （autonomous regions and municipalities directly under the central government） in March to April 2023， and the descriptive analysis was conducted. The regression analysis was carried out for the influential factors of pharmaceutical clinic service. RESULTS A total of 1 368 questionnaires were distributed in this survey and 1 304 valid questionnaires were collected with the effective response rate of 95.32%. A total of 463 medical institutions carried out pharmaceutical clinic service， the rate of which was 35.51% （463/1 304）； the rates of pharmaceutical clinics in tertiary， secondary， primary and other medical institutions were 52.80%， 17.18% and 5.88%， respectively. The frequency of opening pharmaceutical clinics was 3.17 days per week on average， with an average of 5.99 visiting pharmacists in each medical institution. Among the visiting pharmacists， clinical pharmacists accounted for the vast majority （88.68%， 2 459/2 773）. There were various categories of pharmaceutical clinics， including joint clinics and pharmacist-independent clinics； among pharmacist-independent clinics， pharmaceutical specialty/specialty disease clinics were the main ones， accounting for 89.72% of the total number of pharmaceutical clinics. The value of pharmacists in pharmaceutical clinics was manifested in various forms， among which the proportion of medical institutions charging pharmaceutical clinics was 10.80%. The main experiences in developing pharmaceutical clinics were to attach importance to discipline construction and personnel training. The main difficulties in developing pharmaceutical clinics were low compensation levels and a shortage of talent.The number of clinical pharmacists， the number of visiting pharmacists in pharmaceutical clinics and additional compensation were positively correlated with the amount of pharmaceutical clinic services（P＜0.05）. CONCLUSIONS In recent years， pharmaceutical clinics have made significant progress； in the future， it is still necessary to further strengthen discipline construction and talent cultivation， pay attention to the value embodiment of pharmacists， to promote the healthy development of pharmaceutical clinics.

Objective:To explore the interrelationship among three simplified hand and wrist bone age assessment methods and to establish corresponding bone ages for each substage in male children.Methods:This retrospective case series study included 169 left hand and wrist X-rays from 152 male children who underwent bone age assessments at the Pediatric Orthopedics and Pediatrics Departments,Beijing Jishuitan Hospital,Capital Medical University from January 2019 to December 2023. The age at the time of X-ray was (13.7±2.0) years (range:9.1 to 17.9 years). Reasons for bone age assessment included evaluating the progress of adolescent idiopathic scoliosis in 36 cases, predicting limb length discrepancies in 28 cases, and predicting the height of healthy adolescents in 88 cases. Bone age was first graded using the Chinese hand-wrist bone age assessment method. Three simplified hand and wrist bone age assessment methods were then applied:Sanders simplified skeletal maturity staging system(Sanders stage), the distal radius and ulna classification (DRU), and e thumb ossification composite index (TOCI). Somers′delta correlation test was used to analyze the relationship among the results of the three simplified methods. The bone age and standard deviation for each sub-stage were calculated, and gender differences in bone age for the same sub-stage were compared with previous study.Results:The DRU, TOCI and Sanders stages showed a strong correlation when assessing bone age in male children, with Somers′delta correlation coefficients ranging from 0.881 to 0.876 (all P<0.01). The sub-stages with the smallest standard deviations (shorter duration) in each of the three classifications can serve as a quick reference for determining precise bone age, included proximal thumb epiphysis covered, without sesamoid (12.0 years);proximal thumb epiphysis covered with sesamoid or distal radial covered (13.0 years), early capping of the thumb epiphysis, radial epiphysis medial side capping(13.5 years), all phalangeal epiphyses capping (14.0 years), distal phalangeal physes beginning to close (14.5 years), all distal phalangeal physes closed (15.0 years), middle or proximal phalangeal physes beginning to close (15.5 years), all digital epiphyses closed (16.5 years), and nearly complete distal radius fusion with a notch (17.5 years). On average, the bone ages of males were 2 years behind those of females in the same substage. Conclusions:The DRU, TOCI, and Sanders stages can be applied to male children, and it is showed good correlation between them. The subtypes with shorter duration can be used as a quick assessment method to determine the bone age.

Objective:To explore the interrelationship among three simplified hand and wrist bone age assessment methods and to establish corresponding bone ages for each substage in male children.Methods:This retrospective case series study included 169 left hand and wrist X-rays from 152 male children who underwent bone age assessments at the Pediatric Orthopedics and Pediatrics Departments,Beijing Jishuitan Hospital,Capital Medical University from January 2019 to December 2023. The age at the time of X-ray was (13.7±2.0) years (range:9.1 to 17.9 years). Reasons for bone age assessment included evaluating the progress of adolescent idiopathic scoliosis in 36 cases, predicting limb length discrepancies in 28 cases, and predicting the height of healthy adolescents in 88 cases. Bone age was first graded using the Chinese hand-wrist bone age assessment method. Three simplified hand and wrist bone age assessment methods were then applied:Sanders simplified skeletal maturity staging system(Sanders stage), the distal radius and ulna classification (DRU), and e thumb ossification composite index (TOCI). Somers′delta correlation test was used to analyze the relationship among the results of the three simplified methods. The bone age and standard deviation for each sub-stage were calculated, and gender differences in bone age for the same sub-stage were compared with previous study.Results:The DRU, TOCI and Sanders stages showed a strong correlation when assessing bone age in male children, with Somers′delta correlation coefficients ranging from 0.881 to 0.876 (all P<0.01). The sub-stages with the smallest standard deviations (shorter duration) in each of the three classifications can serve as a quick reference for determining precise bone age, included proximal thumb epiphysis covered, without sesamoid (12.0 years);proximal thumb epiphysis covered with sesamoid or distal radial covered (13.0 years), early capping of the thumb epiphysis, radial epiphysis medial side capping(13.5 years), all phalangeal epiphyses capping (14.0 years), distal phalangeal physes beginning to close (14.5 years), all distal phalangeal physes closed (15.0 years), middle or proximal phalangeal physes beginning to close (15.5 years), all digital epiphyses closed (16.5 years), and nearly complete distal radius fusion with a notch (17.5 years). On average, the bone ages of males were 2 years behind those of females in the same substage. Conclusions:The DRU, TOCI, and Sanders stages can be applied to male children, and it is showed good correlation between them. The subtypes with shorter duration can be used as a quick assessment method to determine the bone age.

BackgroundAlcohol use disorder （AUD） is a common chronic and relapsing psychiatric disorders. Identifying severe AUD early and intervening promptly is crucial to prevent irreversible harm. Currently， the assessment of AUD severity primarily relies on psychiatric examination by clinicians， and there is limited research on the factors influencing AUD severity and the development of prediction models. ObjectiveTo analyze the factors influencing AUD severity， and construct a risk prediction model to aid in the assessment of disease progression in AUD patients. MethodsA retrospective analysis was conducted on 1 358 first-time hospitalized patients admitted to Nanning Fifth People's Hospital from January 1， 2017 to December 31， 2022. These patients met the Diagnostic and Statistical Manual of Mental Disorders， fifth edition （DSM-5） criteria for AUD. Basic patient data was collected， and the patients were divided into two groups based on disease severity： mild-moderate group （n=330） and severe group （n=1 028）. The patients were randomly divided into training and test sets in a 7∶3 ratio. A Logistic regression model was constructed in the training set， and the predictive ability of the model for disease severity was evaluated using the receiver operating characteristic （ROC） curve in the test set. ResultsCompared with the mild-moderate group， the severe group had a higher proportion of patients living in urban areas （χ²=7.804）， were farmers （χ²=17.991）， had a higher frequency of alcohol consumption （more than 1 to 2 drinks/day） （χ²=35.267）， had a higher age at first drinking （t=-3.858）， had a greater number of comorbid somatic disorders （Z=-22.782）， and had higher proportions of γ-Glutamyl transpeptidase （χ²=259.940） and total bilirubin abnormalities （χ²=148.552） （P<0.01）. Logistic analysis conducted in the training set showed that being a farmer （OR=2.024， 95% CI： 1.352~3.029）， having an older age at first drinking （OR=1.075， 95% CI： 1.025~1.129）， drinking outside of mealtimes （OR=3.988， 95% CI： 2.408~6.606）， having total bilirubin abnormalities （OR=1.034， 95% CI： 1.000~1.069）， and having more comorbid somatic diseases （OR=4.386， 95% CI： 2.636~7.298） were identified as risk factors for disease severity in AUD patients. The area under curve （AUC） for this model in the test set was 0.906. ConclusionIn psychiatric hospitals， being a farmer， having an older age at first drinking， drinking outside of mealtimes， having abnormal total bilirubin levels， and having comorbidities with somatic illnesses may be risk factors for severe AUD.