Traditional Chinese medicine （TCM）， through its multi-target and systematic regulatory effects， has demonstrated unique advantages in the treatment of gastric precancerous lesions （GPL）. At present， TCM theoretical research on GPL is mainly reflected in three aspects， the integration of macroscopic syndrome differentiation， the inflammation-carcinoma transformation mechanism， as well as the systematization and scientization of theoretical inheritance from famous TCM practitioners. High-quality evidence-based research findings serve as the foundation for clinical practice guidelines on GPL， and TCM has gained international academic recognition in the field of GPL prevention and treatment. Research on TCM mechanisms has yielded a series of important outcomes in the aspects of signaling pathways， gene expression regulation， cellular epigenetics， histone modification， and intestinal microecology. It is proposed that future research on GPL should focus on four key directions， establishing multi-omics data， exploring targeted intervention strategies on key regulatory nodes， advancing the standardization process of integrated traditional Chinese and western medicine prevention and treatment technologies， and constructing stratified screening and intervention platforms. The in-depth integration of TCM microcosmic mechanism of action with its macroscopic syndrome differentiation and treatment system， coupled with interdisciplinary research， will provide valuable references for the clinical treatment and scientific research of GPL.

BACKGROUND: The available evidence regarding the benefits of percutaneous coronary intervention (PCI) on patients receiving dialysis with coronary artery disease (CAD) is limited and inconsistent. This study aimed to evaluate the association between PCI and clinical outcomes as compared with medical therapy alone in patients undergoing dialysis with CAD in China. METHODS: This multicenter, retrospective study was conducted in 30 tertiary medical centers across 12 provinces in China from January 2015 to June 2021 to include patients on dialysis with CAD. The primary outcome was major adverse cardiovascular events (MACE), defined as a composite of cardiovascular death, non-fatal myocardial infarction, and non-fatal stroke. Secondary outcomes included all-cause death, the individual components of MACE, and Bleeding Academic Research Consortium criteria types 2, 3, or 5 bleeding. Multivariable Cox proportional hazard models were used to assess the association between PCI and outcomes. Inverse probability of treatment weighting (IPTW) and propensity score matching (PSM) were performed to account for potential between-group differences. RESULTS: Of the 1146 patients on dialysis with significant CAD, 821 (71.6%) underwent PCI. After a median follow-up of 23.0 months, PCI was associated with a 43.0% significantly lower risk for MACE (33.9% [ n  = 278] vs . 43.7% [ n  = 142]; adjusted hazards ratio 0.57, 95% confidence interval 0.45-0.71), along with a slightly increased risk for bleeding outcomes that did not reach statistical significance (11.1% vs . 8.3%; adjusted hazards ratio 1.31, 95% confidence interval, 0.82-2.11). Furthermore, PCI was associated with a significant reduction in all-cause and cardiovascular mortalities. Subgroup analysis did not modify the association of PCI with patient outcomes. These primary findings were consistent across IPTW, PSM, and competing risk analyses. CONCLUSION This study indicated that PCI in patients on dialysis with CAD was significantly associated with lower MACE and mortality when comparing with those with medical therapy alone, albeit with a slightly increased risk for bleeding events that did not reach statistical significance.
Humans ; Percutaneous Coronary Intervention/methods* ; Male ; Female ; Coronary Artery Disease/drug therapy* ; Retrospective Studies ; Renal Dialysis/methods* ; Middle Aged ; Aged ; China ; Proportional Hazards Models ; Treatment Outcome

The precision dosing of antimicrobial agents serves as a key strategy to improve effectiveness while minimizing adverse drug effects, thereby enhancing therapeutic outcomes. It also aims to reduce the risk of antimicrobial resistance and optimize the utilization of healthcare resource. This article reviews the key technical elements of antimicrobial precision dosing, including novel therapeutic drug monitoring (TDM) methods, the concepts, modelling and stimulation approaches, and model evaluation of model-informed precision dosing (MIPD), and the implementation of MIPD with clinical decision support system (CDSS). Meanwhile, applications on how artificial intelligence (AI) techniques facilitate MIPD are discussed. We hope that the advances discussed and perspectives presented in this article will provide insights into the precision dosing and individualized therapy of antimicrobials in clinical practice.

The precision dosing of antimicrobial agents serves as a key strategy to improve effectiveness while minimizing adverse drug effects, thereby enhancing therapeutic outcomes. It also aims to reduce the risk of antimicrobial resistance and optimize the utilization of healthcare resource. This article reviews the key technical elements of antimicrobial precision dosing, including novel therapeutic drug monitoring (TDM) methods, the concepts, modelling and stimulation approaches, and model evaluation of model-informed precision dosing (MIPD), and the implementation of MIPD with clinical decision support system (CDSS). Meanwhile, applications on how artificial intelligence (AI) techniques facilitate MIPD are discussed. We hope that the advances discussed and perspectives presented in this article will provide insights into the precision dosing and individualized therapy of antimicrobials in clinical practice.

OBJECTIVE To assess the safety profile of sintilimab in combination with chemotherapy for the treatment of cholangiocarcinoma.METHODS The data of patients with cholangiocarcinoma from January 1st,2021 to December 31st,2022 were collected and divided into control group(29 cases)and observation group(18 cases)based on different medication regimens.Patients in the control group were treated with Gemcitabine hydrochloride for injection+Cisplatin for injection or Oxaliplatin for injection,the observation group was treated with Sintilimab injection based on the control group.Patients in each group underwent blood routine,liver and kidney function,biochemical and other examinations before and after each treatment cycle to observe the occurrence of adverse drug reactions.The correlation of adverse drug reactions with drugs was evaluated with Naranjo's scale.RESULTS The correlation between blood toxicity and drug use was deemed"probable"in both groups;however,the observation group exhibited a significantly higher score,indicating a stronger correlation.In the control group,hepatotoxic reactions were classified as"suspicious"whereas in the observation group,they were categorized as"probable".The correlation of gastrointestinal symptoms between the two groups was considered"possible".Systemic symptoms,skin toxicity,musculoskeletal toxicity,endocrine toxicity and renal toxicity were all classified as having a"suspicious"correlation with drug use.The total incidence of blood toxicity in the observation group was significantly higher than control group(P=0.014).There was no statistically significant difference in the total incidences of hepatotoxic,gastrointestinal symptoms,systemic symptoms,skin toxicity,musculoskeletal toxicity,endocrine toxicity,renal toxicity,or the incidence of grade 3 or higher blood toxicity,hepatotoxic between the two groups(P＞0.05).For the patients experiencing adverse drug reactions,the symptoms were alleviated following drug discontinuation or symptomatic supportive treatment.No fatalities occurred during the treatment period.CONCLUSIONS Sintilimab combined with chemotherapy may significantly increase the risk of blood toxicity in patients with cholangiocarcinoma,especially thrombocytopenia,but the adverse reactions are within a controllable range,and the overall safety is good.

Purpose/Significance To investigate the effectiveness of experiential teaching in perinatal healthcare management contin-uing education.Method/Process The perinatal healthcare team of Peking Union Medical College Hospital holds a four-day experiential learning program for 30 maternity-related medical staffs from China.Through the self-administered experiential teaching questionnaire(ETQ)and satisfaction questionnaire,the researchers analyze the participants'post-teaching skill acquisition,clinical application abil-ity and educational needs,as well as their satisfaction with course content,course duration,teaching design,classroom atmosphere,and teaching format,which are quantified with Likert scale.Result/Conclusion The experiential teaching mode shows good teaching effects in perinatal healthcare management continuing education,and has higher application value.In the future,the researchers should combine it with theoretical teaching and carry out more comprehensive and structured periodic learning classes throughout the country,so as to im-prove both the theoretical foundation and practical ability of healthcare workers for better healthcare services for pregnant women.

Objective:To explore the clinical epidemiological characteristics of respiratory syncytial virus in children in Hubei Province from 2020 to 2023.Method:A single-center and cross-sectional study was used to analyze the clinical data of 3 271 children with respiratory syncytial virus infection in Wuhan Children′s Hospital affiliated to Huazhong University of Science and Technology from July 1, 2020 to June 30, 2023. Nonparametric rank sum test and χ2 test were used for comparative analysis. Results:From July 1, 2020 to June 30, 2023, a total of 25 583 children were included in the analysis, of which 3 271(12.8%) children infected RSV. The detection rate was 16.3% in 2020-2021, 14.7% in 2021-2022 and 9.1% in 2022-2023. The detection rate decreased year by year ( χ2=222.054, P<0.05). From 2020 to 2023, there was an anti-seasonal epidemic of RSV in spring and autumn. The detection rate of RSV in infants under 1 year old was the highest, but the median ages of RSV positive children increased ( H=140.575, P<0.05). Pneumonia was the main clinical manifestation of RSV respiratory tract infection. Conclusion:The epidemiological characteristics of RSV in children in Hubei Province were different from those before. From 2020 to 2023, the detection rate of RSV decreased year by year. Besides winter, the prevalence of RSV could also be seen in spring and autumn. The median age of children infected with RSV increased after the epidemic. Pneumonia was the main clinical manifestation after RSV infection.

Objective:To explore the clinical epidemiological characteristics of respiratory syncytial virus in children in Hubei Province from 2020 to 2023.Method:A single-center and cross-sectional study was used to analyze the clinical data of 3 271 children with respiratory syncytial virus infection in Wuhan Children′s Hospital affiliated to Huazhong University of Science and Technology from July 1, 2020 to June 30, 2023. Nonparametric rank sum test and χ2 test were used for comparative analysis. Results:From July 1, 2020 to June 30, 2023, a total of 25 583 children were included in the analysis, of which 3 271(12.8%) children infected RSV. The detection rate was 16.3% in 2020-2021, 14.7% in 2021-2022 and 9.1% in 2022-2023. The detection rate decreased year by year ( χ2=222.054, P<0.05). From 2020 to 2023, there was an anti-seasonal epidemic of RSV in spring and autumn. The detection rate of RSV in infants under 1 year old was the highest, but the median ages of RSV positive children increased ( H=140.575, P<0.05). Pneumonia was the main clinical manifestation of RSV respiratory tract infection. Conclusion:The epidemiological characteristics of RSV in children in Hubei Province were different from those before. From 2020 to 2023, the detection rate of RSV decreased year by year. Besides winter, the prevalence of RSV could also be seen in spring and autumn. The median age of children infected with RSV increased after the epidemic. Pneumonia was the main clinical manifestation after RSV infection.

The molar anchorage control in orthodontic treatment is a key concern of clinicians and a hot spot in the field of orthodontic clinical research.Good molar anchorage control is a prerequisite for the success of orthodontic treatment.In recent years,clear aligner treatment has been favored by orthodontists and patients because of its aesthetics,comfort and other advantages.However,the unique biomechanical mechanism of clear aligner system has brought new changes and challenges for dentists to understand the anchorage con-trol in orthodontics.This article provides a systematic review of the research methodology,clinical efficacy and enhanced strategy of mo-lar anchorage control in clear aligner treatment,with the aim to provide a reference for the clinical research and technical development of molar anchorage control in clear aligner treatment.

Objective:To develop and validate an artificial intelligence (AI) diagnostic model for coronary artery disease based on facial photos.Methods:This study was a cross-sectional study. Patients who were scheduled to undergo coronary angiography (CAG) at Beijing Anzhen Hospital and Beijing Daxing Hospital from August 2022 to November 2023 were included consecutively. Before CAG, facial photos were collected (including four angles: frontal view, left and right 60° profile, and top of the head). Photo datasets were randomly divided into a training set, a validation set (70%), and a testing set (30%). The model was constructed using Masked Autoencoder (MAE) and Vision Transformer (ViT) architectures. Firstly, the model base was pre-training using 2 million facial photos obtained from the publicly available VGGFace dataset, and fine-tuned by the training and validation sets; the model was validated in the test set. In addition, the ResNet architecture was used to process the dataset, and its outputs were compared with those of the models based on MAE and ViT. In the test set, the area under the operating characteristic curve ( AUC) of the AI model was calculated using CAG results as the gold standard. Results:A total of 5 974 participants aged 61 (54, 67) years were included, including 4 179 males (70.0%), with a total of 84 964 facial photos. There were 79 140 facial photos in the training and validation sets, with 3 822 patients with coronary artery disease; there were 5 824 facial photos in the test set, with 239 patients with coronary artery disease. The AUC value of the MAE and ViT model initialized with pre-training model weights was 0.841 and 0.824, respectively. The AUC of the ResNet model initialized with random weights was 0.810, while the AUC of the ResNet model initialized with pre-training model weights was 0.816. Conclusion:The AI model based on facial photos showes good diagnostic performance for coronary artery disease and holds promise for further application in early diagnosis.