The collateral disease theory stands as one of the most instructive frameworks for elucidating the pathology of Mycoplasma pneumoniae pneumonia （MPP）. Its characteristic pathological features—toxin damaging collaterals， dysfunction of Qi collaterals， and protracted illness involving collaterals—closely align with the manifestations of cytokine storms， immune dysregulation， and chronic damage induced by M. pneumoniae （MP）. Drug-resistant MP further exacerbates these manifestations and poses challenges in clinical treatment， making it essential to clarify the intrinsic relationship between the collateral disease theory and MPP. However， existing studies still lack relevant elaboration， resulting in a gap in guidance by traditional Chinese medicine （TCM） theory in clinical practice. Considering the instructive， scientific， and necessary role of the collateral disease theory in MPP， this paper thoroughly elucidates the pathological manifestations of MPP and the core evolutionary characteristics of collateral damage， and further provides a scientific interpretation from the perspective of collateral disease on the clinical efficacy and mechanism of TCM treatment of MPP over the past five years. This review aims to reveal the intrinsic relationship between the collateral disease theory and MPP， enrich the scientific connotation of TCM theory， and bridge the gap in TCM theoretical guidance， thereby providing scientific research clues for TCM treatment of MPP.

Objective To compare the differences in the average transaction costs per-referral patients under different models of Integrated Delivery Systems(IDS).Methods Using a typical case sampling method,it selected referred patients from three IDS models:the county medical alliance in D City(Qinghai Province),the urban medical consortium in J District(Zhengzhou City,Henan Province),and the health management coalition in N County(Shandong Province).Structured questionnaires collected demographics,average transaction costs per-referral and cost perceptions.t-tests and ANOVA assessed cost differences;generalized linear regression identified influencing factors.Results Among 915 patients,the average transaction costs per-referral were 1 035.05 yuan(county alliance),195.31 yuan(urban consortium),and 700.97 yuan(health management coalition),with statistically significant differences(P＜0.05).The urban consortium exhibited lower time costs and specialized input costs.Key influencing factors included older age(county alliance),education level,employment status,and referral travel time(urban consortium),as well as urban-rural disparities(health management coalition).Patients'cost perceptions significantly differed across models(P＜0.05).Conclusion The urban medical consortium demonstrated the lowest patient the average transaction costs,highlighting its institutional advantage in minimizing financial burdens.

BACKGROUND:More and more scholars are investigating the mechanism of hypoxia-inducible factor-1α in regulating bone homeostasis and oral and maxillofacial diseases to provide new targets and strategies for the treatment of related disorders,but there is no relevant review.OBJECTIVE:To summarize the regulatory potential of hypoxia-inducible factor-1α in a variety of oral and maxillofacial diseases and bone homeostasis with the aim of providing a new research direction for oral and maxillofacial bone tissue engineering.METHODS:A literature review was conducted in databases such as PubMed,Web of Science and CNKI,for articles Published from 2003 to 2024.The keywords were"hypoxia inducible factor-1α,oral cavity,bone formation,osteoclast,angiogenesis,oxidative stress,tissue engineering,periodontitis,pulpitis,temporomandibular joint osteoarthritis"in Chinese and English.Finally,84 articles were included for review.RESULTS AND CONCLUSION:(1)Hypoxia-inducible factor-1α is essential in promoting bone tissue regeneration,facilitating osteogenic-angiogenic coupling,and mitigating damage from oxidative stress in bone tissue.(2)Increasing levels of hypoxia-inducible factor-1α in tissue cells reduces inflammation in periodontitis and promotes periodontal tissue remodeling,pulp regeneration,and involves in joint remodeling after temporomandibular joint osteoarthritis.(3)By stabilizing the level of hypoxia-inducible factor-1α in tissue cells,the micronutrient-carrying biomaterial promotes bone marrow mesenchymal stem cells to migrate and attach to the bone defect area,coupling angiogenesis and osteogenesis to achieve bone regeneration.(4)How to increase the level of hypoxia-inducible factor-1α in oral and maxillofacial tissues using bioactive materials to achieve bone regeneration at maxillofacial bone defects remains to be investigated.

Operation management is an important tool to promote the high-quality development of public hospitals in China.Since the founding of New China,based on China's economic and social development and medical and health system reform,the evolution of operation management of public hospitals in China can be divided into four stages,the system building stage(1949-1978),the liberalization and revitalization stage(1979-1996),the operation mechanism reform stage(1997-2020),and the new stage of high-quality development(2021 present).The development trend of public hospital operation management in future should deepen the public welfare-oriented public hospital operation management,explore the value-oriented medical operation management model based on high-quality development and the refined operation and management model of public hospitals,so as to promote the high-quality development of public hospitals in China.

Objective To compare the differences in the average transaction costs per-referral patients under different models of Integrated Delivery Systems(IDS).Methods Using a typical case sampling method,it selected referred patients from three IDS models:the county medical alliance in D City(Qinghai Province),the urban medical consortium in J District(Zhengzhou City,Henan Province),and the health management coalition in N County(Shandong Province).Structured questionnaires collected demographics,average transaction costs per-referral and cost perceptions.t-tests and ANOVA assessed cost differences;generalized linear regression identified influencing factors.Results Among 915 patients,the average transaction costs per-referral were 1 035.05 yuan(county alliance),195.31 yuan(urban consortium),and 700.97 yuan(health management coalition),with statistically significant differences(P＜0.05).The urban consortium exhibited lower time costs and specialized input costs.Key influencing factors included older age(county alliance),education level,employment status,and referral travel time(urban consortium),as well as urban-rural disparities(health management coalition).Patients'cost perceptions significantly differed across models(P＜0.05).Conclusion The urban medical consortium demonstrated the lowest patient the average transaction costs,highlighting its institutional advantage in minimizing financial burdens.

Drug repurposing offers a promising alternative to traditional drug development and significantly re-duces costs and timelines by identifying new therapeutic uses for existing drugs.However,the current approaches often rely on limited data sources and simplistic hypotheses,which restrict their ability to capture the multi-faceted nature of biological systems.This study introduces adaptive multi-view learning(AMVL),a novel methodology that integrates chemical-induced transcriptional profiles(CTPs),knowledge graph(KG)embeddings,and large language model(LLM)representations,to enhance drug repurposing predictions.AMVL incorporates an innovative similarity matrix expansion strategy and leverages multi-view learning(MVL),matrix factorization,and ensemble optimization techniques to integrate heterogeneous multi-source data.Comprehensive evaluations on benchmark datasets(Fdata-set,Cdataset,and Ydataset)and the large-scale iDrug dataset demonstrate that AMVL outperforms state-of-the-art(SOTA)methods,achieving superior accuracy in predicting drug-disease associations across multiple metrics.Literature-based validation further confirmed the model's predictive capabilities,with seven out of the top ten predictions corroborated by post-2011 evidence.To promote transparency and reproducibility,all data and codes used in this study were open-sourced,providing resources for pro-cessing CTPs,KG,and LLM-based similarity calculations,along with the complete AMVL algorithm and benchmarking procedures.By unifying diverse data modalities,AMVL offers a robust and scalable so-lution for accelerating drug discovery,fostering advancements in translational medicine and integrating multi-omics data.We aim to inspire further innovations in multi-source data integration and support the development of more precise and efficient strategies for advancing drug discovery and translational medicine.

Operation management is an important tool to promote the high-quality development of public hospitals in China.Since the founding of New China,based on China's economic and social development and medical and health system reform,the evolution of operation management of public hospitals in China can be divided into four stages,the system building stage(1949-1978),the liberalization and revitalization stage(1979-1996),the operation mechanism reform stage(1997-2020),and the new stage of high-quality development(2021 present).The development trend of public hospital operation management in future should deepen the public welfare-oriented public hospital operation management,explore the value-oriented medical operation management model based on high-quality development and the refined operation and management model of public hospitals,so as to promote the high-quality development of public hospitals in China.

Objective:To evaluate the effect of acupuncture on postoperative delirium (POD) in diabetic patients undergoing surgery under general anesthesia.Methods:In this randomized controlled trial, 92 diabetic patients of either sex, aged 30-80 yr, with a body mass index of 18-28 kg/m 2, of American Society of Anesthesiologists Physical Status classification Ⅱ or Ⅲ, scheduled for elective surgery under general anesthesia, were divided into 2 groups ( n=46 each) using a table of random numbers: control group (group C) and acupuncture group (group A). Group A received acupuncture at the Baihui (GV20), Shenting (GV24) and Sishencong (EX-HN1) acupoints before anesthesia. The needles were retained for 30 min, with manual stimulation applied every 10 min for 10 s each time. After 4 stimulations, routine anesthesia was carried out. Group C received routine anesthesia only. Regional cerebral oxygen saturation was recorded on admission to the operating room (T 0), after anesthesia induction (T 1), at the start of surgery (T 2), at the end of surgery (T 3), and immediately after tracheal extubation (T 4). The POD developed within 3 days after surgery was assessed. The occurrence of needle-related adverse effects such as fainting, subcutaneous bleeding, and local paresthesia was recorded. Results:Compared with group C, the incidence of POD was significantly reduced, and the regional cerebral oxygen saturation was increased at T 1, 4 in group A ( P<0.05). Conclusions:Acupuncture can decrease the development of POD in diabetic patients undergoing surgery under general anesthesia, which is related to an increase in regional cerebral oxygen saturation.

Drug repurposing offers a promising alternative to traditional drug development and significantly reduces costs and timelines by identifying new therapeutic uses for existing drugs. However, the current approaches often rely on limited data sources and simplistic hypotheses, which restrict their ability to capture the multi-faceted nature of biological systems. This study introduces adaptive multi-view learning (AMVL), a novel methodology that integrates chemical-induced transcriptional profiles (CTPs), knowledge graph (KG) embeddings, and large language model (LLM) representations, to enhance drug repurposing predictions. AMVL incorporates an innovative similarity matrix expansion strategy and leverages multi-view learning (MVL), matrix factorization, and ensemble optimization techniques to integrate heterogeneous multi-source data. Comprehensive evaluations on benchmark datasets (Fdataset, Cdataset, and Ydataset) and the large-scale iDrug dataset demonstrate that AMVL outperforms state-of-the-art (SOTA) methods, achieving superior accuracy in predicting drug-disease associations across multiple metrics. Literature-based validation further confirmed the model's predictive capabilities, with seven out of the top ten predictions corroborated by post-2011 evidence. To promote transparency and reproducibility, all data and codes used in this study were open-sourced, providing resources for processing CTPs, KG, and LLM-based similarity calculations, along with the complete AMVL algorithm and benchmarking procedures. By unifying diverse data modalities, AMVL offers a robust and scalable solution for accelerating drug discovery, fostering advancements in translational medicine and integrating multi-omics data. We aim to inspire further innovations in multi-source data integration and support the development of more precise and efficient strategies for advancing drug discovery and translational medicine.