Objective To study the epidemiological characteristics of special pathogenic infection in Wenchang area following the super typhoon"Yagi"disaster,and provide basis for the diagnosis,treatment,prevention and control of infectious diseases in disaster-affected areas.Methods Clinical characteristics and pathogenic data of 7 groups of patients infected with 9 species of zoonotic pathogens and opportunistic pathogens were analyzed retrospectively.The 7 groups included:pre-typhoon landfall group(August 6 to September 5,2024),post-typhoon landfall group(September 6 to October 5,2024),and groups in the past years of the same period(A2023,B2022,C2021,D2020,E2019,September 6 to October 5 of each year in 2019-2023).Epidemiological characteristics of patients as well as distribution and resistance of pathogens were compared and analyzed.Results In post-typhoon landfall group,26 patients were infected.The overall infection rate of the post-typhoon landfall group was higher than all groups except B2022 group(all P＜0.05).The infected cases mainly distributed in coastal areas.The main route of infection was outside the hospital(88.5％).Male accounted for 80.8％,agricultural workers accounted for 53.9％,and 69.2％of the cases occurred within 10 days after the typhoon.The major infection sites were multiple site co-infection,bloodstream infection,and soft tissue infection.The main pathogens maintained high sensitivity to commonly used antimicrobial agents.The accuracy of clinical initial empirical antimicrobial use was relatively low(45.5％in post-typhoon landfall group vs 62.8％in the groups of the same period in the past).The clinical cure rate decreased to 76.9％,and mortality increased to 7.7％.The mortality of patients infected with Burkholderia pseudomallei and kidney infected with Leptospira were 25.0％and 50.0％,respectively.Conclusion After ty-phoon disaster,special pathogen infection significantly increases and the prognosis is poor.It is recommended to emphasize blood culture and molecular biology testing to facilitate early diagnosis and precise treatment,optimize prevention and control measures,and enhance the accuracy of clinical empirical medication.

In proton therapy,prompt gamma-ray imaging is considered as one of the most promising methods for assessing proton beam range.Prompt gamma-ray imaging detector evaluates the proton beam range based on the prompt gamma-ray distribution obtained by the prompt gamma-ray imaging system,which enables high-precision measurement of the proton beam range.Herein a proton beam range verification algorithm is designed for the newly developed prototype of the range verification detector(pixelated prompt gamma-ray imaging detector),which verifies the range estimation accuracy of the prototype for different phantoms and different energies of homogeneous media through Monte Carlo simulation.The results show that the accuracy of the proton beam range verification algorithm is within 0.5 mm of the safety margin error of the Bragg peak,and the measurement accuracy is significantly improved with the increase of the number of protons,indicating that the prototype algorithm is feasible for proton beam range verification.

In proton therapy,prompt gamma-ray imaging is considered as one of the most promising methods for assessing proton beam range.Prompt gamma-ray imaging detector evaluates the proton beam range based on the prompt gamma-ray distribution obtained by the prompt gamma-ray imaging system,which enables high-precision measurement of the proton beam range.Herein a proton beam range verification algorithm is designed for the newly developed prototype of the range verification detector(pixelated prompt gamma-ray imaging detector),which verifies the range estimation accuracy of the prototype for different phantoms and different energies of homogeneous media through Monte Carlo simulation.The results show that the accuracy of the proton beam range verification algorithm is within 0.5 mm of the safety margin error of the Bragg peak,and the measurement accuracy is significantly improved with the increase of the number of protons,indicating that the prototype algorithm is feasible for proton beam range verification.

For middle-aged and elderly patients with conditions such as spinal fractures and degenerative spinal diseases, spinal internal fixation is a core surgical procedure for reconstructing spinal stability, heavily relying on the biomechanical stability provided by pedicle screw systems. Whereas, these patients are often complicated by osteoporosis that can significantly compromise the stability of the bone-pedicle screw interface, leading to a marked increase in pedicle screw loosening and surgical failure rates. The bone cement-augmented pedicle screw technique, which involves injecting bone cement into the vertebral body or screw trajectory to optimize the mechanical properties of the bone-pedicle screw composite, has been proven to significantly enhance fixation strength and effectively prevent screw-related failures, thereby reducing the incidence of internal fixation failure in high-risk populations undergoing spinal fusion. However, the widespread clinical application of this technique has faced challenges such as inaccurate clinical decision-making (indication and contraindication selection), non-standardized operative practices, and insufficient awareness of complication prevention, resulting in considerable variability in clinical outcomes and even severe complications. To address this, Prof. Luo Fei from First Affiliated Hospital of Army Medical University initiated the project and the Chinese Association Orthopaedic Surgeons organized relevant experts to develop the Evidence-based clinical practice guideline for bone cement-augmented pedicle screw technique ( version 2025), based on current evidence. The guidelines put forward 8 recommendations regarding the clinical value, scope of application, and operational standards of the technique, aiming to provide evidence-based medical support and technical standardization for clinical decision-making.

Objective To study the epidemiological characteristics of special pathogenic infection in Wenchang area following the super typhoon"Yagi"disaster,and provide basis for the diagnosis,treatment,prevention and control of infectious diseases in disaster-affected areas.Methods Clinical characteristics and pathogenic data of 7 groups of patients infected with 9 species of zoonotic pathogens and opportunistic pathogens were analyzed retrospectively.The 7 groups included:pre-typhoon landfall group(August 6 to September 5,2024),post-typhoon landfall group(September 6 to October 5,2024),and groups in the past years of the same period(A2023,B2022,C2021,D2020,E2019,September 6 to October 5 of each year in 2019-2023).Epidemiological characteristics of patients as well as distribution and resistance of pathogens were compared and analyzed.Results In post-typhoon landfall group,26 patients were infected.The overall infection rate of the post-typhoon landfall group was higher than all groups except B2022 group(all P＜0.05).The infected cases mainly distributed in coastal areas.The main route of infection was outside the hospital(88.5％).Male accounted for 80.8％,agricultural workers accounted for 53.9％,and 69.2％of the cases occurred within 10 days after the typhoon.The major infection sites were multiple site co-infection,bloodstream infection,and soft tissue infection.The main pathogens maintained high sensitivity to commonly used antimicrobial agents.The accuracy of clinical initial empirical antimicrobial use was relatively low(45.5％in post-typhoon landfall group vs 62.8％in the groups of the same period in the past).The clinical cure rate decreased to 76.9％,and mortality increased to 7.7％.The mortality of patients infected with Burkholderia pseudomallei and kidney infected with Leptospira were 25.0％and 50.0％,respectively.Conclusion After ty-phoon disaster,special pathogen infection significantly increases and the prognosis is poor.It is recommended to emphasize blood culture and molecular biology testing to facilitate early diagnosis and precise treatment,optimize prevention and control measures,and enhance the accuracy of clinical empirical medication.

Respiratory syncytial virus(RSV)is a ubiquitous respiratory virus that affects individuals of all ages;however,there is a notable lack of targeted treatments.RSV infection is associated with a range of respi-ratory symptoms,including bronchiolitis and pneumonia.Baicalin(BA)exhibits significant therapeutic effects against RSV infection through mechanisms of viral inhibition and anti-inflammatory action.Nonetheless,the clinical application of BA is constrained by its low solubility and bioavailability.In this study,we prepared BA nanodrugs(BA NDs)with enhanced water solubility utilizing the supramolecular self-assembled strategy,and we further conducted a comparative analysis of this pharmacological activity between free drugs and NDs of BA.Both in vitro and in vivo results demonstrated that BA NDs significantly enhanced the dual effects of viral inhibition and inflammation relief compared to free BA,attributed to prolonged lung retention,improved cellular uptake,and increased targeting affinity.Our study confirms that the nanosizing strategy,a straightforward approach to enhance drug solubility,can also increase biological activity compared to free drugs with the same content,thereby providing a potential ND for RSV treatment.This correlation analysis between the existing forms of drugs and their biological activity offers a novel perspective for research on the active ingredients of traditional Chinese medicine.

For middle-aged and elderly patients with conditions such as spinal fractures and degenerative spinal diseases, spinal internal fixation is a core surgical procedure for reconstructing spinal stability, heavily relying on the biomechanical stability provided by pedicle screw systems. Whereas, these patients are often complicated by osteoporosis that can significantly compromise the stability of the bone-pedicle screw interface, leading to a marked increase in pedicle screw loosening and surgical failure rates. The bone cement-augmented pedicle screw technique, which involves injecting bone cement into the vertebral body or screw trajectory to optimize the mechanical properties of the bone-pedicle screw composite, has been proven to significantly enhance fixation strength and effectively prevent screw-related failures, thereby reducing the incidence of internal fixation failure in high-risk populations undergoing spinal fusion. However, the widespread clinical application of this technique has faced challenges such as inaccurate clinical decision-making (indication and contraindication selection), non-standardized operative practices, and insufficient awareness of complication prevention, resulting in considerable variability in clinical outcomes and even severe complications. To address this, Prof. Luo Fei from First Affiliated Hospital of Army Medical University initiated the project and the Chinese Association Orthopaedic Surgeons organized relevant experts to develop the Evidence-based clinical practice guideline for bone cement-augmented pedicle screw technique ( version 2025), based on current evidence. The guidelines put forward 8 recommendations regarding the clinical value, scope of application, and operational standards of the technique, aiming to provide evidence-based medical support and technical standardization for clinical decision-making.

BACKGROUND: The clinical impact of post-percutaneous coronary intervention (PCI) quantitative flow ratio (QFR) in patients treated with PCI for chronic total occlusion (CTO) was still undetermined. METHODS: All CTO vessels treated with successful anatomical PCI in patients from PANDA III trial were retrospectively measured for post-PCI QFR. The primary outcome was 2-year vessel-oriented composite endpoints (VOCEs, composite of target vessel-related cardiac death, target vessel-related myocardial infarction, and ischemia-driven target vessel revascularization). Receiver operator characteristic curve analysis was conducted to identify optimal cutoff value of post-PCI QFR for predicting the 2-year VOCEs, and all vessels were stratified by this optimal cutoff value. Cox proportional hazards models were employed to calculate the hazard ratio (HR) with 95% CI. RESULTS: Among 428 CTO vessels treated with PCI, 353 vessels (82.5%) were analyzable for post-PCI QFR. 31 VOCEs (8.7%) occurred at 2 years. Mean value of post-PCI QFR was 0.92 ± 0.13. Receiver operator characteristic curve analysis shown the optimal cutoff value of post-PCI QFR for predicting 2-year VOCEs was 0.91. The incidence of 2-year VOCEs in the vessel with post-PCI QFR < 0.91 (n = 91) was significantly higher compared with the vessels with post-PCI QFR ≥ 0.91 (n = 262) (22.0% vs. 4.2%, HR = 4.98, 95% CI: 2.32-10.70). CONCLUSIONS Higher post-PCI QFR values were associated with improved prognosis in the PCI practice for coronary CTO. Achieving functionally optimal PCI results (post-PCI QFR value ≥ 0.91) tends to get better prognosis for patients with CTO lesions.

Traditional Chinese medicine (TCM) represents a paradigmatic approach to personalized medicine, developed through the systematic accumulation and refinement of clinical empirical data over more than 2000 years, and now encompasses large-scale electronic medical records (EMR) and experimental molecular data. Artificial intelligence (AI) has demonstrated its utility in medicine through the development of various expert systems (e.g., MYCIN) since the 1970s. With the emergence of deep learning and large language models (LLMs), AI's potential in medicine shows considerable promise. Consequently, the integration of AI and TCM from both clinical and scientific perspectives presents a fundamental and promising research direction. This survey provides an insightful overview of TCM AI research, summarizing related research tasks from three perspectives: systems-level biological mechanism elucidation, real-world clinical evidence inference, and personalized clinical decision support. The review highlights representative AI methodologies alongside their applications in both TCM scientific inquiry and clinical practice. To critically assess the current state of the field, this work identifies major challenges and opportunities that constrain the development of robust research capabilities-particularly in the mechanistic understanding of TCM syndromes and herbal formulations, novel drug discovery, and the delivery of high-quality, patient-centered clinical care. The findings underscore that future advancements in AI-driven TCM research will rely on the development of high-quality, large-scale data repositories; the construction of comprehensive and domain-specific knowledge graphs (KGs); deeper insights into the biological mechanisms underpinning clinical efficacy; rigorous causal inference frameworks; and intelligent, personalized decision support systems.
Medicine, Chinese Traditional/methods* ; Artificial Intelligence ; Humans ; Precision Medicine ; Decision Support Systems, Clinical

Respiratory syncytial virus (RSV) is a ubiquitous respiratory virus that affects individuals of all ages; however, there is a notable lack of targeted treatments. RSV infection is associated with a range of respiratory symptoms, including bronchiolitis and pneumonia. Baicalin (BA) exhibits significant therapeutic effects against RSV infection through mechanisms of viral inhibition and anti-inflammatory action. Nonetheless, the clinical application of BA is constrained by its low solubility and bioavailability. In this study, we prepared BA nanodrugs (BA NDs) with enhanced water solubility utilizing the supramolecular self-assembled strategy, and we further conducted a comparative analysis of this pharmacological activity between free drugs and NDs of BA. Both in vitro and in vivo results demonstrated that BA NDs significantly enhanced the dual effects of viral inhibition and inflammation relief compared to free BA, attributed to prolonged lung retention, improved cellular uptake, and increased targeting affinity. Our study confirms that the nanosizing strategy, a straightforward approach to enhance drug solubility, can also increase biological activity compared to free drugs with the same content, thereby providing a potential ND for RSV treatment. This correlation analysis between the existing forms of drugs and their biological activity offers a novel perspective for research on the active ingredients of traditional Chinese medicine.