Abstract In April 2021, type Ⅰ vaccine-derived poliovirus (VDPV) was detected from two fecal samples of a male infant with acute flaccid paralysis (AFP) in Zhejiang Province when he was admitted to the Children's Hospital Affiliated to Fudan University in Shanghai, with 12 and 14 nucleotide mutations in the VP1 region, respectively. The case had a history of immunization with three doses of poliovirus vaccines, and grade Ⅲ proximal muscle strength and grade Ⅱ distal muscle strength of the right lower limb. After symptomatic treatment, the activity of the right lower limb and the muscle strength was significantly restored, thus he was discharged. VDPV was not detected from subsequent (the 8th to 12th) fecal samples of the case and fecal samples of close contacts. No similar cases were found in medical institutions in the county, surrounding areas, neighboring villages or towns. Since the case did not exhibit clinical symptoms of poliomyelitis caused by VDPV, poliomyelitis was excluded, and the case was diagnosed with hemophilia type A based on the epidemiological investigation, laboratory tests, and the history of poliomyelitis vaccination. This event involved cross-provincial (municipal) cooperation and was responsed promptly, preventing further spread of the virus. It suggested that the sensitivity of the AFP case surveillance system should be maintained, environmental monitoring methods should be increased, and the poliomyelitis vaccination should be promoted to prevent the spread of the virus.

Although the COVID-19 pandemic has subsided, the risk of the outbreak of new emerging infectious diseases remained constantly present. As such an outbreak can have devastating consequences to the society and economy, development of warning strategies before it takes place is a critical and urgent research task. However, there are currently no validated methods that are both effective and practically feasible for giving pre-outbreak alerts. As such, timely identification and rapid response after an outbreak takes place is still a feasible and effective method for responding to new emerging infectious diseases. The speed and efficiency of the response are largely contingent upon preparedness during the inter-epidemic periods. This paper aims to outline our thinking about the framework for infectious disease early warning and propose some recommendations. Implementation of such a strategy in practice necessitates the establishment of pilot initiatives to test the early warning system according to our proposed principles. These pilots may use severe influenza or hypothetical outbreak scenarios as examples, define warning signals, develop the mechanisms for epidemiological investigation, reporting and response so as to conduct feasibility assessments.

BACKGROUND: Spicy food consumption has been reported to be inversely associated with mortality from multiple diseases. However, the effect of spicy food intake on the incidence of vascular diseases in the Chinese population remains unclear. This study was conducted to explore this association. METHODS: This study was performed using the large-scale China Kadoorie Biobank (CKB) prospective cohort of 486,335 participants. The primary outcomes were vascular disease, ischemic heart disease (IHD), major coronary events (MCEs), cerebrovascular disease, stroke, and non-stroke cerebrovascular disease. A Cox proportional hazards regression model was used to assess the association between spicy food consumption and incident vascular diseases. Subgroup analysis was also performed to evaluate the heterogeneity of the association between spicy food consumption and the risk of vascular disease stratified by several basic characteristics. In addition, the joint effects of spicy food consumption and the healthy lifestyle score on the risk of vascular disease were also evaluated, and sensitivity analyses were performed to assess the reliability of the association results. RESULTS: During a median follow-up time of 12.1 years, a total of 136,125 patients with vascular disease, 46,689 patients with IHD, 10,097 patients with MCEs, 80,114 patients with cerebrovascular disease, 56,726 patients with stroke, and 40,098 patients with non-stroke cerebrovascular disease were identified. Participants who consumed spicy food 1-2 days/week (hazard ratio [HR] = 0.95, 95% confidence interval [95% CI] = [0.93, 0.97], P <0.001), 3-5 days/week (HR = 0.96, 95% CI = [0.94, 0.99], P = 0.003), and 6-7 days/week (HR = 0.97, 95% CI = [0.95, 0.99], P = 0.002) had a significantly lower risk of vascular disease than those who consumed spicy food less than once a week ( Ptrend <0.001), especially in those who were younger and living in rural areas. Notably, the disease-based subgroup analysis indicated that the inverse associations remained in IHD ( Ptrend = 0.011) and MCEs ( Ptrend = 0.002) risk. Intriguingly, there was an interaction effect between spicy food consumption and the healthy lifestyle score on the risk of IHD ( Pinteraction = 0.037). CONCLUSIONS Our findings support an inverse association between spicy food consumption and vascular disease in the Chinese population, which may provide additional dietary guidance for the prevention of vascular diseases.
Humans ; Male ; Female ; Prospective Studies ; Middle Aged ; Aged ; Vascular Diseases/etiology* ; Risk Factors ; China/epidemiology* ; Adult ; Proportional Hazards Models ; Cerebrovascular Disorders/epidemiology* ; East Asian People

Medical cross-modal retrieval aims to achieve semantic similarity search between different modalities of medical cases, such as quickly locating relevant ultrasound images through ultrasound reports, or using ultrasound images to retrieve matching reports. However, existing medical cross-modal hash retrieval methods face significant challenges, including semantic and visual differences between modalities and the scalability issues of hash algorithms in handling large-scale data. To address these challenges, this paper proposes a Medical image Semantic Alignment Cross-modal Hashing based on Transformer (MSACH). The algorithm employed a segmented training strategy, combining modality feature extraction and hash function learning, effectively extracting low-dimensional features containing important semantic information. A Transformer encoder was used for cross-modal semantic learning. By introducing manifold similarity constraints, balance constraints, and a linear classification network constraint, the algorithm enhanced the discriminability of the hash codes. Experimental results demonstrated that the MSACH algorithm improved the mean average precision (MAP) by 11.8% and 12.8% on two datasets compared to traditional methods. The algorithm exhibits outstanding performance in enhancing retrieval accuracy and handling large-scale medical data, showing promising potential for practical applications.
Algorithms ; Semantics ; Humans ; Ultrasonography ; Information Storage and Retrieval/methods* ; Image Processing, Computer-Assisted/methods*

Online hashing methods are receiving increasing attention in cross modal medical image retrieval research. However, existing online methods often lack the learning ability to maintain semantic correlation between new and existing data. To this end, we proposed online semantic similarity cross-modal hashing (OSCMH) learning framework to incrementally learn compact binary hash codes of medical stream data. Within it, a sparse representation of existing data based on online anchor datasets was designed to avoid semantic forgetting of the data and adaptively update hash codes, which effectively maintained semantic correlation between existing and arriving data and reduced information loss as well as improved training efficiency. Besides, an online discrete optimization method was proposed to solve the binary optimization problem of hash code by incrementally updating hash function and optimizing hash code on medical stream data. Compared with existing online or offline hashing methods, the proposed algorithm achieved average retrieval accuracy improvements of 12.5% and 14.3% on two datasets, respectively, effectively enhancing the retrieval efficiency in the field of medical images.
Semantics ; Humans ; Algorithms ; Information Storage and Retrieval/methods* ; Diagnostic Imaging ; Image Processing, Computer-Assisted/methods*

Postoperative infection of internal fixation of closed fractures the lower limbs in adults represents a devastating complication, characterized by diagnostic challenges, prolonged treatment duration and high disability rates. Current management of these infections faces multiple challenges, such as difficulties in early accurate diagnosis, and various controversies about the treatment plan, leading to poor overall diagnosis and treatment results. To address these issues, based on evidence-based medicine and principles with emphasis on scientific rigor, clinical applicability and innovation, the Trauma Branch of the Chinese Medical Association, Orthopedic Branch of the Chinese Medical Doctor Association, Orthopedics Branch of the Chinese Medical Association, and Trauma Orthopedics and Polytrauma Group of the Resuscitation and Emergency Committee of the Chinese Medical Doctor Association have collaboratively organized a panel of relevant experts to develop the Guideline for diagnosis and treatment of infection after internal fixation of closed lower limb fractures in adults ( version 2025). The guideline proposed 10 recommendations, aiming to provide a foundation for standardized diagnosis and treatment of postoperative infection in adults with closed lower limb fractures.

Objective To analyze the incidence,colonization pathways,and predictive factors of bacterial colonization of epidural analgesia catheters in patients with chronic pain.Methods A total of 150 patients with chronic pain who underwent continuous epidural catheterization(catheter in-dwelling time of 7 to 10 days)were selected as study subjects.Samples from three sites were collect-ed for bacterial culture.Clinical data of the patients were collected,and the positive rate of bacterial culture,characteristics of bacterial species distribution,and bacterial colonization pathways were ana-lyzed.The efficacy of predictive factors was assessed using the receiver operating characteristic(ROC)curve.Results The positive rates of bacterial culture in samples from the skin swabbing fluid around the puncture site,the subcutaneous segment of the catheter,and the catheter tip were 22.0％,7.3％,and 8.7％,respectively.Staphylococcus epidermidis was the predominant colonizing bacterial species.Spearman correlation coefficient analysis showed a significant correlation between the results of bacterial culture from the skin around the puncture site and catheter tip colonization(r=0.47,P＜0.01).ROC curve analysis revealed that the area under the curve of bacterial culture results from the skin around the puncture site in predicting catheter tip bacterial colonization was 0.843,with a sensitivity of 84.9％and a specificity of 84.6％.Conclusion Bacterial migra-tion along the catheter is the main pathway for catheter tip bacterial colonization,and the results of bacterial culture from the skin around the puncture site are an effective predictive factor for the risk of bacterial colonization.

Our acupuncture-moxibustion(Acu-Moxi)field has entered an era of digital and intelligent transformation,yet systematic and in-depth development remains limited.This article aims to provide an overview and reflection on the digital and intelligent progress of Acu-Moxi in China,offering systematic insights for the comprehensive development of this field.Through a retrieval from CNKI,VIP,and Wanfang databases,along with a discussion of relevant policies,case studies,achievements,and updates,the study evaluated the current advancements in the digitization and intelligence of Acu-Moxi,also discussing the current advantages and challenges.Findings revealed an overall upward trend in publications related to digital-intelligent technologies in Acu-Moxi,key forms including robotics,acupuncture point digitization,smart acupuncture devices,and clinical decision-making models,highlighting the empowering potential of digital intelligence across the discipline.Recently,publications of the Acu-Moxi digitization has decreased sharply,and the number of Acu-Moxi research about digital and intelligent transformation has increased.In conclusion,the field has undergone a transition from comprehensive digital accumulation to increasing intelligence,moving toward integrated digital-intelligent development.However,the internal development of digital and intelligent Acu-Moxi remains uneven.To achieve a harmonious intelligent Acu-Moxi ecosystem,it is crucial to leverage opportunities of discipline and times for systematic and balanced improvement.

Objective:To study the effects of chlorhexidine (CHX) and ethylene diamine tetraacetic acid (EDTA) on adhesive properties of moderate fluorosis dentin.Methods:From August to September 2024, a total of 30 freshly extracted, non-carious and non-defective mandibular molars with moderate dental fluorosis, extracted for impaction or orthodontic reasons, were collected from the patients at the Department of Oral and Maxillofacial Surgery at Guiyang Stomatological Hospital and randomly divided into three groups (Groups A, B, and C, n = 10) using a simple randomization method, and pretreated for 60 s with normal saline (Group A), 17%EDTA gel (Group B), and 2%CHX solution (Group C), respectively. Subsequently, microtensile bonding strength testing and microleakage evaluation were performed. Results:The immediate bonding strengths of Groups A, B, and C were (14.23 ± 4.75), (20.94 ± 7.46), and (28.76 ± 14.61) MPa, respectively, and the bonding strengths after aging were (9.89 ± 3.81), (19.05 ± 7.85), and (22.15 ± 8.67) MPa, respectively. There were statistically significant differences in both immediate and aged bonding strengths among the three groups ( F = 6.08, 8.07, P = 0.010, 0.002). The immediate bonding strength of Group C was significantly higher than that of Group A ( P < 0.05), and the post aging bonding strength of both Group B and Group C was significantly higher than that of Group A ( P < 0.05). The proportion of silver staining area with microleakage in Groups A, B, and C were 21.87% (14.65%, 40.15%), 2.34% (1.87%, 5.29%), and 17.54% (4.59%, 20.47%), respectively, with statistically significant differences among the three groups ( H = 27.36, P = 0.001). The proportion of silver stained area with microleakage in Group B was significantly lower than that in Group A and Group C, and the difference was statistically significant ( P < 0.05). Conclusions:Pretreatment of moderate fluorosis dentin with 2%CHX or 17%EDTA can improve resin bongding performance, with EDTA being superior in reducing microleakage and CHX being better in enhancing adhesion strength.