The construction of a training system for visiting physicians in the department of rare diseases in China is an important measure to improve the overall diagnosis and treatment capacity for rare diseases and address the critical challenge of insufficient knowledge and skills among clinicians in practice. This article systematically describes the visiting physician training system established by the Department of Rare Diseases at Peking Union Medical College Hospital. It summarizes the training objectives and positioning, design logic, and learning modules of the system, aiming to provide a reference for the construction of the specialized talent team for rare diseases in China.

Transformer models have emerged as pivotal tools within the realm of drug discovery, distinguished by their unique architectural features and exceptional performance in managing intricate data landscapes. Leveraging the innate capabilities of transformer architectures to comprehend intricate hierarchical dependencies inherent in sequential data, these models showcase remarkable efficacy across various tasks, including new drug design and drug target identification. The adaptability of pre-trained transformer-based models renders them indispensable assets for driving data-centric advancements in drug discovery, chemistry, and biology, furnishing a robust framework that expedites innovation and discovery within these domains. Beyond their technical prowess, the success of transformer-based models in drug discovery, chemistry, and biology extends to their interdisciplinary potential, seamlessly combining biological, physical, chemical, and pharmacological insights to bridge gaps across diverse disciplines. This integrative approach not only enhances the depth and breadth of research endeavors but also fosters synergistic collaborations and exchange of ideas among disparate fields. In our review, we elucidate the myriad applications of transformers in drug discovery, as well as chemistry and biology, spanning from protein design and protein engineering, to molecular dynamics (MD), drug target identification, transformer-enabled drug virtual screening (VS), drug lead optimization, drug addiction, small data set challenges, chemical and biological image analysis, chemical language understanding, and single cell data. Finally, we conclude the survey by deliberating on promising trends in transformer models within the context of drug discovery and other sciences.

ObjectiveThis paper used the AGREE Ⅱ guideline evaluation tool to evaluate the quality of 14 clinical guidelines for acute myocardial infarction，aiming to provide reference for the formulation and improvement of the guidelines. MethodsClinical guidelines and expert consensus related to acute myocardial infarction were searched by web search. The search period ranges from January 1，2019 to November 1，2024 in CNKI，VIP，Wanfang Data，SinoMed，Web of Science，OVID， the International Guidelines Collaboration Network （GIN），the UK National Institute for Health and Clinical Excellence （NICE），Yimaitong， and other platforms. Three researchers independently screened the literature and used AGREE Ⅱ to score the screening results. After ensuring that the researchers have a consistent understanding of each guideline，the quality of the guidelines was evaluated. After that，the ratings were analyzed by layer according to the issuing agency，category，method of formulation，and funding situation and compared longitudinally by rating time. The clinical guidelines and expert consensus were compared in terms of content and evidence. ResultsA total of 14 guidelines and consensus were included. The results of AGREE Ⅱ in the six areas in descending order were scope and purpose （62.82%±10.43%），rigor （62.40%±12.77%），editorial independence （62.11%±22.26%），participants （61.42%±11.65%），clarity of expression （59.98%±9.62%），and application （52.94%±16.90%） . Eleven of the guidelines were at level B， and three were at level A. In the stratified analysis，the score of the guideline formulated by the Chinese Medical Doctor Association was lower. There was little difference between the scores of Chinese/Western and Western medicine guidelines. The average score of the guidelines was higher than the consensus. Funded guidelines and consensus scores were higher. In the longitudinal comparison，the highest number of guidelines were developed in 2020 and 2021，while those developed in 2023 scored the highest. In the differential comparison analysis，the content of the guidelines was more comprehensive， and the evidence level was higher，while the content of the consensus was more novel， and the evidence was less. ConclusionThe AGREE Ⅱ score of the clinical guidelines for acute myocardial infarction is generally moderate，and there is room for improvement in terms of applicability. At the same time，the content quality of expert consensus should be improved，and more efforts should be made to develop and apply Chinese medicine guidelines for complications such as heart failure and microcirculatory obstruction after acute myocardial infarction.

Objective To study the key quality markers of Shugan Liqi Mixture in the treatment of liver depression and qi stagnation and menstrual irregularities;To provide a scientific basis for the selection of index components in the process of its quality standardization study.Methods The characteristic chromatogram of Shugan Liqi Mixture was established by HPLC;the serum components of Shugan Liqi Mixture were analyzed by LC-MS;the results of the characteristic chromatogram and serum chemistries were integrated,and the network pharmacology was used to construct a component-target network of Shugan Liqi Mixture,so that important components related to liver depression and qi stagnation and menstrual dysfunction could be obtained.The key quality markers of Shugan Liqi Mixture were screened out by combining with relevant literature reports.Results A total of 12 common peaks were obtained from the characteristic chromatogram of 15 batches of Shugan Liqi Mixture,and 7 components were identified,including paeoniflorin,hyperoside,naringin,hesperidin,neohesperidin,baicalin and saikosaponin b2.Totally 26 prototype blood components,including isorhamnetin,nobiletin and tetrahydropalmatine,were identified by serum pharmacochemistry study.According to the"five principles"of quality markers,and combining the characteristic chromatogram and serum medicinal chemistry results,the five components of baicalin,naringin,tetrahydropalmatine,paeoniflorin and saikosaponin a were finally identified as the key quality markers of Shugan Liqi Mixture combined with the data from network pharmacology and the literature.Conclusion This study preliminarily identifies five key quality markers of Shugan Liqi Mixture,providing index components in the process of its quality standard research.

Objective To analyze the geographical distribution characteristics of TCM syndromes of coronary heart disease in the elderly based on the literature;To summarize the characteristics of TCM syndromes of coronary heart disease patients in different geographical areas;To provide evidence-based data for the standardization of TCM syndromes and syndrome differentiation treatment of coronary heart disease in the elderly.Methods Literature on TCM syndrome of coronary heart disease in the elderly was retrieved from CNKI,Wanfang Data,VIP,CBM and PubMed,from the establishment of each database to December 31,2024.The common TCM syndrome types,syndrome frequency and regional distribution of coronary heart disease in the elderly were statistically analyzed.Results Forty articles were included,with a total number of 6 447 cases and a male-to-female ratio of 1.1∶1.The top 5 highest percentage of co-morbidities of coronary artery disease in the elderly were 1 308 cases of hypertension(24.11%),1 022 cases of type 2 diabetes mellitus(18.84%),787 cases of respiratory disease(14.51%),517 cases of heart failure(9.53%),and 348 cases of hyperlipidemia(6.41%).The top 5 TCM syndromes in elderly patients with coronary heart disease included 779 cases of qi deficiency and blood stasis(12.08%),692 cases of qi-yin deficiency(10.73%),367 cases of phlegm-blood stasis(5.69%),363 cases of heart blood stagnant blockade(5.63%),and 343 cases of qi stagnation and blood stasis(5.32%).The distribution of TCM syndromes in different regions was characterized by qi deficiency,blood stasis and phlegm stasis in the northeast;qi deficiency,blood stasis and qi yin deficiency in the north;qi deficiency,blood stasis and phlegm internal obstruction in the east;qi and yin deficiency and heart blood stasis in the central;qi deficiency,blood stasis and phlegm stasis in the south;phlegm and yin paralysis obstruction,qi and yin deficiency in the southwest;stasis blockage of the cardiac veins,qi yin deficiency in the northwest.The overall trend was that the number of syndromes in the north was higher than that in the south;the number of syndromes in the east,centre and west was decreasing.The distribution of yin deficiency syndrome was highest in the southwest(23.33%)and lowest in the east(10.93%);yang deficiency syndrome was highest in the southwest(13.30%)and lowest in the central(3.32%);qi deficiency and blood stasis syndrome was highest in the northeast(32.89%)and lowest in the northwest(7.24%);the distribution of qi-yin deficiency was highest in the southwest(23.33%)and lowest in the east(7.22%);the distribution of phlegm and stasis syndrome was highest in the northeast(25.67%)and lowest in the east(1.69%).The overall generalization was that deficiency,stasis and phlegm were the main syndrome factors.Conclusion The main symptoms of coronary heart disease in the elderly manifest as a mixture of deficiency and excess,qi deficiency and blood stasis syndrome is the most syndrome type of coronary heart disease in the elderly and is mainly distributed in the northeast.The distribution of TCM syndromes has regional characteristics.

The Integration of Sports and Health forms an essential part of China's distinctive public health service system, and the prevention and treatment of chronic diseases and active health of the elderly group are important practice directions of physical and health integration.Research highlights that this approach effectively supports cardiovascular health, addresses musculoskeletal disorders, alleviates neurodegenerative conditions, and enhances mental well-being, thereby contributing positively to chronic disease prevention and management in the elderly population.Currently, community organizations and professional institutions are the primary providers of these services in China.Looking ahead, the development of elderly-oriented sports and health integration services in China should focus on ensuring institutional and policy support, promoting health-conscious ideologies, delivering high-quality services, and cultivating a skilled professional workforce, as well as establishing a standardized evaluation system.

Objective:This study aims to develop a scientific research ethics knowledge, attitude and practice questionnaire for clinical nurses, and to test its reliability and validity, providing evaluation tools for nursing managers to understand nurses' attitude and behaviors towards research ethics knowledge.Methods:With the knowledge, attitude and practice theory as the conceptual framework, combined with the semi-structured interview, an initial questionnaire was formed through Delphi expert letter inquiry and pre-survey. About 307 nurses from 7 hospitals in Shanxi, Yunnan and Jiangxi provinces were selected to investigate, and the reliability and validity test were conducted.Results:Finally, a questionnaire of 28 items was designed, including scientific research ethics knowledge, attitude and behavior. The overall Cronbach's α coefficient was 0.967, the overall half reliability was 0.884 8, the overall test reliability was 0.958, and the content validity index of scale level was 0.844. The exploratory factor analysis extracted 3 common factors, and the cumulative variance contribution rate was 74.150%.Conclusions:This questionnaire has good credit validity and can be used as an objective tool to evaluate the level of ethical knowledge and practice of clinical nurses.

Objective:To conduct a multi-center cross-sectional study of elderly patients with cognitive impairment based on real-world data; To analyze the clinical characteristics and core medication law of the disease population.Methods:The medical records of elderly patients diagnosed with cognitive impairment from January 1, 2016 to December 31, 2024 were retrieved from Chinese Evidence-based TCM Database. Excel 2010 software was used to collect general information, TCM syndrome elements and syndrome types, use frequency of Chinese materia medica, property, taste, meridian tropism, efficacy classification and other information, using PivotTable to establish Chinese materia medica matrix. IBM SPSS Modeler 18.0 software was used to display the frequency of co-occurrence among high-frequency Chinese materia medica, and the association rules were analyzed based on the Apriori algorithm. R language 4.4.1 was used for clustering analysis on Chinese materia medica and the cluster pedigree and correlation heat map were drawn.Results:A total of 1 194 elderly patients with cognitive impairment were enrolled, with a mean age of (79.51±7.65) years, and the highest frequency of comorbidities was hypertension (891 cases, 74.62%); AD was the most frequent diagnosis of cognitive impairment (367 times, 30.74%). The proportion of mild cognitive impairment in the low value group of Systemic Immune Inflammation Index (SII) was relatively high, and the high value group of SII was mainly vascular dementia and AD. Wind-phlegm blocking syndrome (106 times, 13.73%) topped the list; phlegm was the most frequent element of pathogenicity (353 times, 45.73%), and meridians and collaterals (194 times, 25.13%). Totally 328 prescriptions were included, involving 308 kinds of Chinese materia medica. The total recorded frequency of Chinese materia medica was 5 665, with tonifying herbs constituting the most frequently used category, accounting for 1 633 times; the medicinal property of drugs for treating elderly patients with cognitive disorders was mostly warm (103 times, 33.44%), the taste was mostly bitter (141 times, 45.78%), and attributed to the liver meridian (145 times, 47.08%); among the two and three association rules, the drug pairs with the highest confidence were Gastrodiae Rhizoma→Uncariae Ramulus cum Uncis (97.22%) and Hyperici Perforati Herba→Acanthopanacis Senticosi Radix et Rhizoma seu Caulis+Alpiniae Oxyphyllae Fructus (97.06%); five medicinal combinations were obtained by high frequency drug clustering analysis.Conclusions:Elderly patients with cognitive impairment are mainly diagnosed with AD. There may be a potential correlation between SII level and the progression of cognitive impairment. The drugs are used to tonify the kidney and replenish essence, detoxify and unblock collaterals, replenish qi and activate blood circulation, and awaken the brain and open the orifices. Shengmai Decoction, Renshen Yangrong Decoction and other TCM classic prescriptions can be used in clinic.

Transformer models have emerged as pivotal tools within the realm of drug discovery,distinguished by their unique architectural features and exceptional performance in managing intricate data landscapes.Leveraging the innate capabilities of transformer architectures to comprehend intricate hierarchical dependencies inherent in sequential data,these models showcase remarkable efficacy across various tasks,including new drug design and drug target identification.The adaptability of pre-trained trans-former-based models renders them indispensable assets for driving data-centric advancements in drug discovery,chemistry,and biology,furnishing a robust framework that expedites innovation and dis-covery within these domains.Beyond their technical prowess,the success of transformer-based models in drug discovery,chemistry,and biology extends to their interdisciplinary potential,seamlessly combining biological,physical,chemical,and pharmacological insights to bridge gaps across diverse disciplines.This integrative approach not only enhances the depth and breadth of research endeavors but also fosters synergistic collaborations and exchange of ideas among disparate fields.In our review,we elucidate the myriad applications of transformers in drug discovery,as well as chemistry and biology,spanning from protein design and protein engineering,to molecular dynamics(MD),drug target iden-tification,transformer-enabled drug virtual screening(VS),drug lead optimization,drug addiction,small data set challenges,chemical and biological image analysis,chemical language understanding,and single cell data.Finally,we conclude the survey by deliberating on promising trends in transformer models within the context of drug discovery and other sciences.

The Expert Consensus on Clinical Application of Qinbaohong Zhike Oral Liquid in Treatment of Acute Bronchitis and Acute Attack of Chronic Bronchitis （GS/CACM 337-2023） was released by the China Association of Chinese Medicine on December 13^th， 2023. This expert consensus was developed by experts in methodology， pharmacy， and Chinese medicine in strict accordance with the development requirements of the China Association of Chinese Medicine （CACM） and based on the latest medical evidence and the clinical medication experience of well-known experts in the fields of respiratory medicine （pulmonary diseases） and pediatrics. This expert consensus defines the application of Qinbaohong Zhike oral liquid in the treatment of cough and excessive sputum caused by phlegm-heat obstructing lung， acute bronchitis， and acute attack of chronic bronchitis from the aspects of applicable populations， efficacy evaluation， usage， dosage， drug combination， and safety. It is expected to guide the rational drug use in medical and health institutions， give full play to the unique value of Qinbaohong Zhike oral liquid， and vigorously promote the inheritance and innovation of Chinese patent medicines.