The field of post-marketing benefit-risk assessment for traditional Chinese medicine（TCM） is still in its nascent stage， lacking a universally accepted and cohesive evaluation framework and standards. This study presented a strategy developed for the benefit-risk assessment of post-marketing of TCM， and explored the critical techniques and specific implementation steps involved in the assessment process. Initially， appropriate qualitative assessment frameworks and quantitative analysis models were selected for the integrated qualitative and quantitative benefit-risk assessment. Subsequently， key technologies were outlined， including the establishment of a benefit-risk indicator system， the assignment of indicator weights， and the definition of criteria attributes. Furthermore， the implementation steps were elaborated， which involved defining decision-making issues， data collection， evaluation methodologies， variability factors， and sensitivity analysis. Finally， a case study of the benefit-risk assessment of a TCM injection for hepatitis B treatment was conducted to validate the feasibility of the proposed strategy. The objective of this research was to provide theoretical support and practical references for the development of a comprehensive post-marketing benefit-risk assessment system for TCM.

[Objective] To validate and optimize the platelet transfusion refractoriness (PTR) prediction model for patients with hematological disorders established by our center. [Methods] The data of patients with hematological diseases who received platelet transfusions from December 2021 to December 2022 were used as the training set, and data from January 2023 to December 2023 as the validation set. The validation set data was used to validate the predictive model constructed on the training set. Relevant risk factors for PTR were collected through literature review and preliminary studies。 The patients were divided into effective and ineffective groups according to the corrected count increment (CCI) of platelet counts. Predictive factors were screened using univariate and multivariate logistic regression. The calibration of the model were assessed via calibration curves, while discrimination, accuracy, sensitivity, and specificity were evaluated using receiver operating characteristic (ROC) curves Clinical utility was further analyzed with decision curve analysis (DCA). [Results] The Hosmer-Lemeshow (H-L) goodness-of-fit test for the validation set yielded S: P=0.000, indicating that the original model needs optimization. Baseline comparisons and logistic regression identified the number of red blood cell units (RBCU) and platelet units (PLT-U) transfused as key predictors for the optimized model. The H-L goodness-of-fit test S: P values for the training and validation sets were 0.930 and 0.056, respectively; the ROC areas were 0.793 5 and 0.809 4, specificities 90.95% and 84.21%, sensitivities 59.26% and 70.04%, and accuracies 78.14% and 74.10%, respectively. DCA demonstrated clinical net benefit within a prediction probability threshold range of 0.2-0.8. [Conclusion] Transfusion volumes of RBC-U and PLT-U were inversely associated with PTR in hematological patients. The resulting PTR prediction model exhibits moderate predictive efficacy and clinical benefit.

To promote the development of extracellular vesicles of herbal medicine especially the establishment of standardization, led by the National Expert Committee on Research and Application of Chinese Herbal Vesicles, research experts in the field of herbal medicine and extracellular vesicles were invited nationwide with the support of the Expert Committee on Research and Application of Chinese Herbal Vesicles, Professional Committee on Extracellular Vesicle Research and Application, Chinese Society of Research Hospitals and the Guangdong Engineering Research Center of Chinese Herbal Vesicles. Based on the collation of relevant literature, we have adopted the Delphi method, the consensus meeting method combined with the nominal group method to form a discussion draft of "Consensus statement on research and application of Chinese herbal medicine derived extracellular vesicles-like particles (2023)". The first draft was discussed in online and offline meetings on October 12, 14, November 2, 2022 and April and May 2023 on the current status of research, nomenclature, isolation methods, quality standards and research applications of extracellular vesicles of Chinese herbal medicines, and 13 consensus opinions were finally formed. At the Third Academic Conference on Research and Application of Chinese Herbal Vesicles, held on May 26, 2023, Kewei Zhao, convenor of the consensus, presented and read the consensus to the experts of the Expert Committee on Research and Application of Chinese Herbal Vesicles. The consensus highlights the characteristics and advantages of Chinese medicine, inherits the essence, and keeps the righteousness and innovation, aiming to provide a reference for colleagues engaged in research and application of Chinese herbal vesicles at home and abroad, decode the mystery behind Chinese herbal vesicles together, establish a safe, effective and controllable accurate Chinese herbal vesicle prevention and treatment system, and build a bridge for Chinese medicine to the world.

The correspondence between prescription and syndrome is the advantage and characteristic of traditional Chinese medicine(TCM)treatment.However,the pathogenesis of clinical diseases is complex and the condition is changeable,and the clinical application is difficult to achieve the maximum effect under the existing cognition of the correspondence between prescription and syndrome.In this paper,the five categories of physiological characteristics,pathological characteristics,constitution,syndrome,and disease of the longitudinal classification of"TCM state"are introduced into the correspondence of prescription and syndrome.Under the vertical perspective of"TCM state",the theoretical connotation of the correspondence between prescription and syndrome is interpreted as"correspondence between prescription and state",namely correspondence of"prescription-physiological characteristics",correspondence of"prescription-pathological characteristics",correspondence of"prescription-constitution",correspondence of"prescription-syndrome",and correspondence of"prescription-disease".It is hoped to accurately grasp the corresponding connotation of the correspondence between prescription and syndrome,in order to deepen the clinical thinking mode of TCM.

Objective:To investigate the feasibility and accuracy of computer vision-based artificial intelligence technology in detecting and recognizing instruments and organs in the scenario of radical laparoscopic gastrectomy for gastric cancer.Methods:Eight complete laparoscopic distal radical gastrectomy surgery videos were collected from four large tertiary hospitals in China (First Medical Center of Chinese PLA General Hospital [three cases], Liaoning Cancer Hospital [two cases], Liyang Branch of Jiangsu Province People's Hospital [two cases], and Fudan University Shanghai Cancer Center [one case]). PR software was used to extract frames every 5–10 seconds and convert them into image frames. To ensure quality, deduplication was performed manually to remove obvious duplication and blurred image frames. After conversion and deduplication, there were 3369 frame images with a resolution of 1,920×1,080 PPI. LabelMe was used for instance segmentation of the images into the following 23 categories: veins, arteries, sutures, needle holders, ultrasonic knives, suction devices, bleeding, colon, forceps, gallbladder, small gauze, Hem-o-lok, Hem-o-lok appliers, electrocautery hooks, small intestine, hepatogastric ligaments, liver, omentum, pancreas, spleen, surgical staplers, stomach, and trocars. The frame images were randomly allocated to training and validation sets in a 9:1 ratio. The YOLOv8 deep learning framework was used for model training and validation. Precision, recall, average precision (AP), and mean average precision (mAP) were used to evaluate detection and recognition accuracy.Results:The training set contained 3032 frame images comprising 30 895 instance segmentation counts across 23 categories. The validation set contained 337 frame images comprising 3407 instance segmentation counts. The YOLOv8m model was used for training. The loss curve of the training set showed a smooth gradual decrease in loss value as the number of iteration calculations increased. In the training set, the AP values of all 23 categories were above 0.90, with a mAP of 0.99, whereas in the validation set, the mAP of the 23 categories was 0.82. As to individual categories, the AP values for ultrasonic knives, needle holders, forceps, gallbladders, small pieces of gauze, and surgical staplers were 0.96, 0.94, 0.91, 0.91, 0.91, and 0.91, respectively. The model successfully inferred and applied to a 5-minutes video segment of laparoscopic gastroenterostomy suturing.Conclusion:The primary finding of this multicenter study is that computer vision can efficiently, accurately, and in real-time detect organs and instruments in various scenarios of radical laparoscopic gastrectomy for gastric cancer.

Alzheimer's disease(AD)is a common neurodegenerative disease.Neuroinflammation is one of the important pathological mechanisms of AD.The generation of AD neuroinflammation is closely associated with Aβ deposition,Tau phosphorylation,glial polarization and activation of inflammasome.Acupuncture and moxibustion have such effect on the improvement of AD neuroinflammation,which can relieve neuroinflammation by regulating the polarization of microglia and astrocytes,reducing the release of inflammatory mediators,so as to delay the pathological process of AD.This article reviews the neuroinflammatory mechanism of AD and the research progress of acupuncture and moxibustion regulating AD neuroinflammation,in order to provide a theoretical basis and idea reference for the clinical and basic research of acupuncture and moxibustion in the prevention and treatment of AD.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective:To investigate the predictive value of a nomogram based on multimodal CT parameters for the outcome of endovascular therapy (EVT) in patients with acute vertebrobasilar artery occlusion (AVBAO).Methods:Patients with AVBAO underwent EVT at Xuzhou Central Hospital from January 2021 to March 2024 were included retrospectively. At 90 days after EVT, the modified Rankin Scale was used to evaluate clinical outcome. 0-3 points were defined as good outcome and 4-6 points were defined as poor outcome. Multivariate stepwise logistic regression model was used to screen for predictive variables. Then a nomogram was drawn and the prediction model was evaluated. Results:A total of 91 patients with AVBAO were included. There were 60 males (65.9%), aged 69.09±10.57 years. Thirty-eight patients (41.8%) had good outcome, 53 (58.2%) had poor outcome, and 35 (38.5%) died. Univariate analysis showed that there were significant differences in white blood cell count, neutrophil count, National Institutes of Health Stroke Scale (NIHSS) score, Glasgow Coma Scale (GCS) score, posterior circulation Alberta Stroke Program Early CT Score (pc-ASPECTS), Basilar Artery on Computed Tomography Angiography (BATMAN) score, core infarct volume, mismatched volume ratio, onset to door time between the poor outcome group and the good outcome group (all P<0.05). The above indicators were included in a binary multivariate stepwise logistic regression model. The results showed that higher NIHSS scores (odds ratio [ OR] 1.154, 95% confidence interval [ CI] 1.070-1.244; P<0.001), lower BATMAN scores ( OR 0.626, 95% CI 0.416-0.943; P=0.025), and larger core infarct volumes ( OR 1.147, 95% CI 1.046-1.258; P=0.004) on admission were the independent risk factors for poor outcome. A nomogram was plotted using the above three independent risk factors as predictor variables. Its area under the receiver operating characteristic curve for predicting poor outcome was 0.942 (95% CI 0.894-0.990). The sensitivity and specificity were 81.1% and 97.4%, respectively. The calibration curve fluctuates within a small range around the ideal curve. A mean absolute error was 0.027 and a mean square error was 0.001. The clinical decision curve suggested that the model had good clinical applicability. The dynamic nomogram is shown in: https://yuepeng.shinyapps.io/VBAO_model/. Conclusion:The nomogram prediction model based on multimodal CT parameters has good predictive performance for poor outcome in patients with AVBAO after EVT.

Objective To understand the epidemiological and clinical characteristics of healthcare-associated infec-tion(HAI)in neonates with different gestational ages and birth weights,and provide guidance for personalized cli-nical diagnosis and treatment.Methods According to the inclusion and exclusion criteria,240 neonates with HAI in the neonatal intensive care unit(NICU)of a hospital in Handan City from January 2018 to December 2022 were selected as the study group,720 neonates without HAI were selected as the control group based on systematic sam-pling method with a ratio of 1∶3.The incidence of HAI,distribution characteristics of infection site,pathogenic features of HAI,as well as the effect of different delivery modes on HAI in neonates with different gestational ages and birth weights were analyzed.Results Neonates with gestational age＜28 weeks and birth weight＜1 000 g had the highest incidence of HAI,which were 19.48％and 20.41％,respectively.Among neonates with gestational age＜28 weeks,unidentified site infection were the most(37.50％),while in all gestational age groups within 28-36+6 weeks,bloodstream infection(BSI)and respiratory system infection were predominant.For neonates with gestational age ≥37 weeks,BSI and unidentified site infection occurred frequently.Among neonates in all weight groups,BSI was the most frequent,followed by respiratory system infection.Pathogens from different sites of in-fections in neonates with different gestational ages and birth weights varied.Among neonates with gestational age of 28-31+6 weeks and birth weight of 1 000-1 499 g,the constituent of birth modes showed statistically significant difference between neonates with and without HAI(both P＜0.05).Conclusion Epidemiological and clinical chara-cteristics of HAI in neonates with different gestational ages and birth weights are different.For the prevention and control of HAI,individualized diagnosis and treatment plans should be developed to achieve precise prevention and control,reduce the incidence of HAI,and improve the overall treatment level of neonates.

Objective:To investigate the perioperative impact of closure of mesenteric fissure in laparoscopic right hemicolectomy.Methods:The prospective randomized controlled trial was conducted. The clinical data of 320 patients who underwent laparoscopic right hemicolectomy in 11 medical centers, including The First Affiliated Hospital of China Medical University et al, from November 2022 to August 2023 were selected. Based on block randomization, patients were alloca-ted into the mesenteric fissure non-closure group and the mesenteric fissure closure group. Observa-tion indicators: (1) grouping of the enrolled patients; (2) intraoperative conditions; (3) postopera-tive conditions. Measurement data with skewed distribution were represented as M( Q1, Q3) and com-parison between groups was conducted using the Mann-Whitney U test. Count data were represen-ted as absolute numbers or percentages, and comparison between groups was conducted using the chi-square test or Fisher's exact probability. Comparison of ordinal data was conducted using the rank sum test. Comparison of visual analog scores was analyzed using generalized estimating equations. Results:(1) Grouping of the enrolled patients. A total of 320 patients with colon cancer were screened for eligibility, including 156 males and 164 females, aged 68(59,73)years. All the 320 patients were allocated into the mesenteric fissure non-closure group with 164 cases and the mesenteric fissure closure group with 156 cases. There was no significant difference in the age, body mass index, American Society of Anesthesiologist score, maximum tumor diameter, anastomosis location, anastomosis method, surgical approach, range of lymph node dissection, tumor staging between the two groups ( P>0.05) and there was a significant difference in the sex between them ( P<0.05). (2) Intraoperative conditions. There was no significant difference between the mesenteric fissure closure group and the mesenteric fissure non-closure group in the volume of intraoperative blood loss, operation time, conversion to laparotomy, intraoperative complication ( P>0.05). Three patients in the mesenteric fissure non-closure group were converted to laparotomy. One patient in the mesenteric fissure closure group was converted to laparotomy, and 2 cases with intraoperative complication were mesenteric hematoma. (3) Postoperative conditions. There was no significant difference between the mesenteric fissure non-closure group and the mesenteric fissure closure group in the overall postoperative complications ( χ2=0.28, P>0.05). There was no significant difference in the occurrence of postoperative intestinal obstruction, abdominal distension, ascites, pleural effusion, gastric paralysis, anastomotic bleeding, anastomotic leakage, or surgical wound infection between the two groups ( P>0.05). There was no significant difference between the two groups in the reoperation, postoperative gastric tube replacement. There was no significant differ-ence in time to postoperative first flatus, time to postoperative initial liquid food intake, time to post-operative resumption of bowel movements, duration of postoperative hospital stay, total hospital expenses between the two groups ( Z=-0.01, 0.43, 1.04, -0.54, -0.36, P>0.05). One patient in the mesenteric fissure non-closure group received reoperation. No perioperative internal hernia or death occurred in either group. The visual analog score decreased with time in both groups. There was no significant difference in the visual analog score between the mesenteric fissure closure group and the mesenteric fissure non-closure group [ β=-0.20(-0.53,0.13), P>0.05]. Conclusion:Compared with closure of mesenteric fissure, non-closure of mesenteric fissure during laparoscopic right hemi-colectomy dose not increase perioperative complications or postoperative management risk.