ObjectiveTo establish an adjusted Serfling regression model to estimate the excess cases and the excess epidemic period of hand-foot-mouth disease (HFMD) in Beijing from 2011 to 2019, so as to provide data support and decision-making basis for HFMD prevention and control. MethodsThe weekly number of HFMD cases in Beijing from 2011 to 2019 was utilized for adjusted the Serfling regression model. Then the adjusted model was used to fit the baseline and epidemic threshold of HFMD in Beijing from 2011 to 2019, calculating the excess cases and determining the excess epidemic period. ResultsA total of 279 306 cases of HFMD were reported in Beijing from 2011 to 2019, with the climax of the disease occurring in summer and autumn. After adjusting the fitting R² of the Serfling regression model to 0.773, a total of 10 excess epidemic periods totaling 92 weeks were estimated, mainly occurring in summer. The highest number of excess cases during an excess epidemic period was found in 2014 (1 272 cases, 95%CI: 990‒1 554), accounting for 65.04% of the actual cases (95%CI: 50.62%‒79.46%). ConclusionThe adjusted Serfling regression model fits well and can be utilized for early warning of HFMD and estimating the disease burden caused by HFMD.

Objective To obtain the data of radiological diagnosis and treatment resource distribution at medical institutions of different levels and in various cities, understand the status of resource allocation, provide policy-making basis and suggestions for optimizing the allocation of radiological diagnosis and treatment resources within the province, and offer data and references for related research. Methods A basic situation questionnaire survey was conducted on radiological diagnosis and treatment institutions in Hunan Province. Data were reviewed, analyzed, and statistically processed using Excel software to understand the allocation situation of radiological diagnosis and treatment resources in Hunan Province. Results As of 2022, there were 3031 radiological diagnosis and treatment institutions, 19770 radiation workers, and 6617 pieces of radiological diagnostic and treatment equipment. There were 80 radiation treatment institutions, 49 nuclear medicine institutions, 178 interventional radiology institutions, and 3028 X-ray imaging diagnosis institutions. There were 1077 radiation workers in radiation treatment, 461 radiation workers in nuclear medicine, 3369 radiation workers in interventional radiology, and 14,863 radiation workers in X-ray imaging diagnosis. There were 135 pieces of radiation treatment equipment, 56 pieces of nuclear medicine equipment, 262 pieces of interventional radiology equipment, and 6164 pieces of X-ray imaging diagnosis equipment. Conclusion Primary and lower grade medical institutions in Hunan Province account for a relatively high proportion of the total number of medical institutions, whereas radiological diagnostic and treatment resources are predominantly concentrated in tertiary medical institutions, demonstrating a unbalanced allocation of radiological diagnosis and treatment resources in various cities. In terms of the overall allocation of radiological diagnosis and treatment resources, interventional radiology is superior to the national average, nuclear medicine and X-ray imaging diagnosis are comparable to the national averages, and radiation treatment is lower than the national average. The total GDP is not the decisive factor in determining the development of local medical levels. It is suggested that relevant authorities should improve the rationality of the planning for the allocation of radiological diagnosis and treatment resources, promote the allocation of radiological diagnosis and treatment resources to the grassroots and underdeveloped areas through various measures, and thus achieve the goal of balanced resource allocation.

Osteoarthritis (OA) causes chronic pain that significantly impairs quality of life, with current treatments often proving insufficient and accompanied by adverse effects. Recent research has identified the dorsal root ganglion (DRG) and its resident macrophages as crucial mediators of chronic OA pain through neuroinflammation driven by macrophage polarization. We present a novel injectable thermo-sensitive hydrogel system, KAF@PLEL, designed to deliver an anti-inflammatory peptide (KAF) specifically to the DRG. This biodegradable hydrogel enables sustained KAF release, promoting the reprogramming of DRG macrophages from pro-inflammatory to anti-inflammatory phenotypes. Through comprehensive in vitro and in vivo studies, we evaluated the hydrogel's biocompatibility, effects on macrophage polarization, and therapeutic efficacy in chronic OA pain management. The system demonstrated significant capabilities in preserving macrophage mitochondrial function, suppressing neuroinflammation, alleviating chronic OA pain, reducing cartilage degradation, and improving motor function in OA rat models. The sustained-release properties of KAF@PLEL enabled prolonged therapeutic effects while minimizing systemic exposure and side effects. These findings suggest that KAF@PLEL represents a promising therapeutic approach for improving outcomes in OA patients through targeted, sustained treatment.

Objective To explore the mechanism underlying the protective effect of α2-macroglobulin (A2M) against glucocorticoid-induced femoral head necrosis. Methods In a human umbilical vein endothelial cell (HUVEC) model with injuries induced by gradient concentrations of dexamethasone (DEX;10-8-10-5 mol/L), the protective effects of A2M at 0.05 and 0.1 mg/mL were assessed by examining the changes in cell viability, migration, and capacity of angiogenesis using CCK-8 assay, Transwell and scratch healing assays and angiogenesis assay. The expressions of CD31 and VEGF-A proteins in the treated cells were detected using Western blotting. In BALB/c mouse models of avascular necrosis of the femoral head induced by intramuscular injections of methylprednisolone, the effects of intervention with A2M on femoral trabecular structure, histopathological characteristics, and CD31 expression were examined with Micro-CT, HE staining and immunohistochemical staining. Results In cultured HUVECs, DEX treatment significantly reduced cell viability, migration and angiogenic ability in a concentration- and time-dependent manner (P<0.05), and these changes were obviously reversed by treatment with A2M in positive correlation with A2M concentration (P<0.05). DEX significantly reduced the expression of CD31 and VEGF-A proteins in HUVECs, while treatment with A2M restored CD31 and VEGF-A expressions in the cells (P<0.05). The mouse models of femoral head necrosis showed obvious trabecular damages in the femoral head, where a large number of empty lacunae and hypertrophic fat cells could be seen and CD31 expression was significantly decreased (P<0.05). A2M treatment of the mouse models significantly improved trabecular damages, maintained normal bone tissue structures, and increased CD31 expression in the femoral head (P<0.05). Conclusion A2M promotes proliferation, migration, and angiogenesis of DEX-treated HUVECs and alleviates methylprednisolone-induced femoral head necrosis by improving microcirculation damages and maintaining microcirculation stability in the femoral head.

Objective To explore the mechanism underlying the protective effect of α2-macroglobulin (A2M) against glucocorticoid-induced femoral head necrosis. Methods In a human umbilical vein endothelial cell (HUVEC) model with injuries induced by gradient concentrations of dexamethasone (DEX;10-8-10-5 mol/L), the protective effects of A2M at 0.05 and 0.1 mg/mL were assessed by examining the changes in cell viability, migration, and capacity of angiogenesis using CCK-8 assay, Transwell and scratch healing assays and angiogenesis assay. The expressions of CD31 and VEGF-A proteins in the treated cells were detected using Western blotting. In BALB/c mouse models of avascular necrosis of the femoral head induced by intramuscular injections of methylprednisolone, the effects of intervention with A2M on femoral trabecular structure, histopathological characteristics, and CD31 expression were examined with Micro-CT, HE staining and immunohistochemical staining. Results In cultured HUVECs, DEX treatment significantly reduced cell viability, migration and angiogenic ability in a concentration- and time-dependent manner (P<0.05), and these changes were obviously reversed by treatment with A2M in positive correlation with A2M concentration (P<0.05). DEX significantly reduced the expression of CD31 and VEGF-A proteins in HUVECs, while treatment with A2M restored CD31 and VEGF-A expressions in the cells (P<0.05). The mouse models of femoral head necrosis showed obvious trabecular damages in the femoral head, where a large number of empty lacunae and hypertrophic fat cells could be seen and CD31 expression was significantly decreased (P<0.05). A2M treatment of the mouse models significantly improved trabecular damages, maintained normal bone tissue structures, and increased CD31 expression in the femoral head (P<0.05). Conclusion A2M promotes proliferation, migration, and angiogenesis of DEX-treated HUVECs and alleviates methylprednisolone-induced femoral head necrosis by improving microcirculation damages and maintaining microcirculation stability in the femoral head.

Based on the perspective of medical equipment safety culture,analyze the Global Patient Safety Report 2024 released by the World Health Organization(WHO)on May 30,and extract patient safety elements related to medical devices.Propose to initiate action plan for patient safety related to medical devices and discuss the pathway and measures to further ensure patient safety and strengthen safety management in the clinical use of medical devices,in conjunction with promoting high-quality development of hospitals.

Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5％were gram-positive and 70.5％were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3％,76.7％and 77.9％,respectively.Overall,94.0％of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8％of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2％in the isolates from children and 95.7％in the isolates from adults.The resistance rate to carbapenems was lower than 13.1％in most Enterobacterales species except for Klebsiella,21.7％-23.1％of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1％to 13.3％.The prevalence of meropenem-resistant strains decreased from 23.5％in 2019 to 18.0％in 2022 in Pseudomonas aeruginosa,and decreased from 79.0％in 2019 to 72.5％in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.

Purpose/Significance To build an evaluation index system of hospital intelligence in line with China's national conditions,so as to provide references for the quantitative evaluation of the degree of hospital intelligence,and to help the orderly development of hospi-tal intelligence construction.Method/Process Based on the review of the existing evaluation standard system of hospital informatization con-struction,Delphi method and analytic hierarchy process are used to discuss the construction process of hospital intelligence evaluation index system from four processes:construction of an evaluation index system,selection of experts in letter consultation,evaluation of indicator im-portance and verification of letter consultation results,and determination of the evaluation index weight.Result/Conclusion The construc-tion of hospital intelligence evaluation index system,which includes 3 first-level indexes,8 second-level indexes and 33 third-level in-dexes,is complementary to the existing evaluation system of smart hospitals,can reflect the construction foundation and development goals of the current intelligent hospitals,and has certain applicability and guidance for the future construction of smart hospitals.

Purpose/Significance To construct the conceptual model of hospital intelligence index,so as to lay the foundation for the quantitative evaluation of hospital intelligence degree,and help the intelligent construction of hospital.Method/Process The paper intro-duces the connotation of intelligence,expounds the evaluation standard system of hospital informatization construction,and considers the application of intelligence in hospital from the perspective of structure-function-effect.Result/Conclusion The conceptual model of hospital intelligence index is built.That conceptual model includes 3 first-level indicators,8 second-level indicators and 33 third-level indicators of intelligence basis,intelligence capacity and intelligence effect.As a tool for continuous improvement of medical serv-ices,regular assessment of hospital intelligence level can promote the improvement of medical quality and patient experience,and help the high-quality development of hospitals.

Purpose/Significance To thoroughly discuss and comprehensively summarize the present situation of smart hospital construction at home and abroad,the evaluation system of smart hospital in China and its future development trend.Method/Process By combing and stud-ying relevant literature,the paper summarizes the main contents of the intelligent construction of hospitals in China,systematically analyzes the construction of the intelligent evaluation index system of hospitals in China,and forecasts the development and evaluation prospects of the intel-ligent development of hospitals in combination with the reform and development trend of health undertakings in China.Result/Conclusion Hospitals in China should also develop in the direction of advanced intelligence,strengthen the overall platform building of smart hospitals,deep mining of medical big data and deep integration of medical artificial intelligence(AI),and the intelligent evaluation index system should be improved in time with the development of technology,so as to better guide the construction of smart hospitals and provide patients with more quality services.