Cervical spinal cord injury without fracture-dislocation (CSCIWFD) is referred to as a special type of cervical spinal cord injury characterized by traumatic spinal cord dysfunction and no significant bony structural abnormalities on imagines. Duo to the high risk of missed diagnosis during the initial consultation, CSCIWFD may lead to progressive neurological deterioration or even complete paralysis, severely impacting patients′ prognosis. Currently, there are no established consensuses over the diagnosis and treatment of CSCIWFD, such as the lack of evidence-based standards for indications of non-surgical treatment and risk of secondary neurological injury, as well as debates over the optimal timing for surgical intervention and indications for different surgical approaches. To address these issues, the Spine Trauma Group of the Orthopedic Branch of the Chinese Medical Doctor Association organized experts in the relevant fields to formulate Diagnosis and treatment guideline for acute cervical spinal cord injury without fracture- dislocation in adults ( version 2025) . Based on evidence-based medicine and the principles of scientific rigor and clinical applicability, the guidelines proposed 11 recommendations covering terminology, diagnosis, evaluation treatment, and rehabilitation, etc., aiming to standardize the management of CSCIWFD.

Vertebral refracture following percutaneous vertebral augmentation (PVA) is commonly seen in elderly patients with osteoporotic thoracolumbar compression fractures (OTLCF). It can lead to recurrent pain, loss of vertebral height, progression of kyphosis, and even neurological dysfunction, significantly impairing patients′ quality of life. Current diagnosis and treatment face multiple challenges, including high misdiagnosis rate, difficulty in choosing between surgical and non-surgical treatment options, lack of standardized surgical protocols, interference from intralesional bone cement during procedures, inadequate stability of internal fixation in osteoporotic bone, and suboptimal compliance of anti-osteoporotic therapy. Establishing a standardized diagnostic and therapeutic framework is urgently needed. To standardize the management process and improve outcomes for vertebral refractures after PVA in elderly OTLCF patients, Spinal Trauma Group of the Orthopedic Branch of Chinese Medical Doctor Association organized experts in the field to develop Guideline for the diagnosis and treatment of vertebral refracture after percutaneous vertebral augmentation in elderly patients with osteoporotic thoracolumbar compression fractures ( version 2025), based on current literature and clinical experience, and adhering to principles of scientific rigor and clinical applicability. A total of 11 recommendations were proposed, encompassing diagnosis, treatment, and rehabilitation of vertebral refracture after PVA in elderly patients with OTLCF, aiming to provide a foundation for a standardized management.

Acute symptomatic osteoporotic thoracolumbar compression fracture (ASOTLF) can lead to chronic low back pain, kyphosis deformity, pulmonary dysfunction, loss of mobility, and even life-threatening complications. Vertebral augmentation is currently the mainstream treatment method for this condition. In 2019, the Editorial Board of Chinese Journal of Trauma and the Spinal Trauma Group of Orthopedic Surgeons Branch of Chinese Medical Doctor Association collaboratively led the development of Clinical guideline for vertebral augmentation for acute symptomatic osteoporotic thoracolumbar compression fractures. Six years later, with advances in clinical diagnosis and treatment techniques as well as accumulating evidence in related fields, the 2019 guideline requires updating. To this end, the Spinal Trauma Group of Orthopedic Surgeons Branch of Chinese Medical Doctor Association, the Spinal Health Professional Committee of China Human Health Science and Technology Promotion Association, and the Minimally Invasive Orthopedics Professional Committee of Shaanxi Medical Doctor Association have organized experts in the field to develop the Clinical guideline for vertebral augmentation of acute symptomatic osteoporotic thoracolumbar compression fractures ( version 2025) , based on the latest evidence-based medical researches. This guideline incorporates 3 recommendations retained from the 2019 version with updated strength of evidence, along with 12 new recommendations. It provides recommendations from six aspects of diagnosis, pain management, treatment option selection, prevention of postoperative complications, anti-osteoporosis therapy, and postoperative rehabilitation, aiming to provide a reference for standard treatment of vertebral augmentation for ASOTLF in hospitals at all levels.

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.

In this study,a sensitive lateral flow immunoassay(LFIA)platform based on carbon dots-mesoporous silica nanocomposite(CD-MSNs)fluorescent probes was constructed for high-performance detection of inflammatory marker interleukin-6(IL-6).Green fluorescent carbon dots(CDs)were prepared by hydrothermal method with 3,9-perylenic acid and 3-aminopropyltriethoxysilane(APTES)as raw materials,and highly fluorescent CD-MSNs composites were then constructed by encapsulating the prepared CDs in mesoporous silica nanoparticles(MSNs).Fluorescent probes were prepared by covalent coupling of CD-MSNs with IL-6 antibody.Fluorescent immunochromatographic test strips were constructed by spraying IL-6 capture antibody and goat anti-mouse IgG on nitrocellulose membrane as detection line(T-line)and quality control line(C-line),respectively.The fluorescence immunoassay analyzer was used to quantitatively detect the fluorescence intensity of T-line,and the experimental results showed that the LFIA platform based on this probe had a good linear relationship in IL-6 concentration range of 102-106 pg/mL,and the detection limit was 64 pg/mL,which was two orders of magnitude more sensitive than that of the traditional colloidal gold test strips.This method effectively solved the issue of insufficient sensitivity of traditional LFIA technique,and provided a rapid and highly sensitive detection method for early diagnosis of inflammatory diseases.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

Objective:To analyze the synergistic relationship between financing and payment systems in China's urban employee basic medical insurance under the background of aging,providing decision-making basis for promoting coordinated development of these two systems.Methods:Based on statistical yearbook data from medical security systems,the Delphi method was employed to identify collaborative analysis indicators for urban employee medical insurance financing and payment under the aging population context.A collaborative theory-based model was constructed to measure the coordination degree of China's urban employee medical insurance financing and payment composite system,while simultaneously assessing the orderliness of the financing and payment system and the coordination degree of the composite system.Results:The order degree of the financing system ranged from 0.324 in 2019 to 0.517 in 2023;the order degree of the payment system ranged from 0.454 in 2019 to 0.517 in 2023;the synergy degree of both systems reached-0.084 in 2023.Conclusions:Influenced by aging,the development speed and scale of China's urban employee basic medical insurance financing system and payment system are asynchronous,with the payment system being more affected than the financing system,resulting in a non-coordinated and disordered development state of the composite financing-payment system.

Objective:To systematically evaluate the current financing status of Beijing's urban and rural residents'basic medical insurance,analyze equity disparities among different groups under the existing flat-rate financing policy.By simulating the equity changes of various financing schemes with different contribution rates,this study aims to provide foundations for advancing medical insurance financing system reform.Methods:Based on the per capita disposable income and number of insured residents in Beijing's 16 districts from 2018 to 2023,we separately calculated the Gini coefficient,concentration index,and Kakwani index,along with their changes before and after financing adjustments,to assess the funding burden among different insured groups.Using the geometric mean method,we projected per capita disposable income and insured populations for each district in Beijing from 2024 to 2035,simulating various financing schemes under different premium rate systems.Results:From 2018 to 2023,the Gini coefficient of net income after financing consistently exceeded that of original income before financing.The concentration index remained positive and showed an upward trend,while the Kakwani index was negative for all periods.The Gini coefficient after financing slightly decreased for the elderly and working populations with fiscal subsidy support,whereas it remained higher than that for students and children.Under the simulated differentiated rate system,the post-funding Gini coefficient for 2024-2035 was lower than the original value,and the Kakwani index was positive.Conclusions:The current fixed-amount financing mechanism for urban and rural residents'basic medical insurance exhibits regressive characteristics and insufficient fairness,with disparities in equity among different insured groups.It is necessary to establish differentiated financing standards based on differential rates,particularly implementing a financing mechanism with dynamic adjustments according to regional and group income levels,to enhance the fairness of financing for urban and rural residents'basic medical insurance.

Objective:To analyze the synergistic relationship between financing and payment systems in China's urban employee basic medical insurance under the background of aging,providing decision-making basis for promoting coordinated development of these two systems.Methods:Based on statistical yearbook data from medical security systems,the Delphi method was employed to identify collaborative analysis indicators for urban employee medical insurance financing and payment under the aging population context.A collaborative theory-based model was constructed to measure the coordination degree of China's urban employee medical insurance financing and payment composite system,while simultaneously assessing the orderliness of the financing and payment system and the coordination degree of the composite system.Results:The order degree of the financing system ranged from 0.324 in 2019 to 0.517 in 2023;the order degree of the payment system ranged from 0.454 in 2019 to 0.517 in 2023;the synergy degree of both systems reached-0.084 in 2023.Conclusions:Influenced by aging,the development speed and scale of China's urban employee basic medical insurance financing system and payment system are asynchronous,with the payment system being more affected than the financing system,resulting in a non-coordinated and disordered development state of the composite financing-payment system.

Objective:To systematically evaluate the current financing status of Beijing's urban and rural residents'basic medical insurance,analyze equity disparities among different groups under the existing flat-rate financing policy.By simulating the equity changes of various financing schemes with different contribution rates,this study aims to provide foundations for advancing medical insurance financing system reform.Methods:Based on the per capita disposable income and number of insured residents in Beijing's 16 districts from 2018 to 2023,we separately calculated the Gini coefficient,concentration index,and Kakwani index,along with their changes before and after financing adjustments,to assess the funding burden among different insured groups.Using the geometric mean method,we projected per capita disposable income and insured populations for each district in Beijing from 2024 to 2035,simulating various financing schemes under different premium rate systems.Results:From 2018 to 2023,the Gini coefficient of net income after financing consistently exceeded that of original income before financing.The concentration index remained positive and showed an upward trend,while the Kakwani index was negative for all periods.The Gini coefficient after financing slightly decreased for the elderly and working populations with fiscal subsidy support,whereas it remained higher than that for students and children.Under the simulated differentiated rate system,the post-funding Gini coefficient for 2024-2035 was lower than the original value,and the Kakwani index was positive.Conclusions:The current fixed-amount financing mechanism for urban and rural residents'basic medical insurance exhibits regressive characteristics and insufficient fairness,with disparities in equity among different insured groups.It is necessary to establish differentiated financing standards based on differential rates,particularly implementing a financing mechanism with dynamic adjustments according to regional and group income levels,to enhance the fairness of financing for urban and rural residents'basic medical insurance.