This article systematically reviews the current research status as well as diagnosis and treatment strategies of traditional Chinese medicine （TCM） for gastroesophageal reflux disease （GERD）. Studies demonstrate that TCM， based on the "disease-syndrome combination" approach， exhibits multi-target advantages in alleviating symptoms of various GERD subtypes， promoting mucosal repair， regulating emotions， and facilitating the reduction of western medication. To address clinical challenges such as symptom overlap and limited therapeutic efficacy， strategies have been proposed including "treating different diseases with the same method" and integrated regulation based on viscera correlation. Future efforts should focus on elucidating the mechanisms of compound prescriptions， promoting TCM drug development under the "three-combination" evaluation framework that integrates TCM theory， human experience and clinical trial evidence， and optimizing integrated traditional and western medicine models to enhance GERD management.

Objective:To investigate the value of coronary CTA (CCTA)-based traditional features and radiomics of plaque in the identification of culprit lesions that caused acute myocardial infarction (AMI).Methods:This was a retrospective multicenter study. From July 2016 to November 2023, a total of 344 patients from the Affiliated Hospital of Qingdao University (training cohort, n=184), Shandong Provincial Hospital Affiliated to Shandong First Medical University (validation cohort, n=88) and Qilu Hospital of Shandong University (test cohort, n=72) who received percutaneous coronary intervention (PCI) due to AMI and underwent CCTA within 48 hours of AMI were enrolled. The culprit plaques and non-culprit plaques were identified using a combination of electrocardiogram, CCTA, and angiographic findings. The vessel, plaque location, plaque type, Coronary Artery Disease-Reporting and Data System (CAD-RADS) score, high-risk plaque characteristics, plaque length, plaque volume, and burden were analyzed, and 1 904 radiomics features were extracted for each plaque. The traditional imaging model, the radiomics model, and the combined model were established by using multivariate Logistic regression analysis. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of each model in identifying culprit lesions. The DeLong test was used for the comparison of AUC between every two models. The net reclassification index (NRI) was used to evaluate the incremental value of the combined model to the traditional imaging model and the radiomics model. The decision curve analysis (DCA) was used to assess the clinical net benefit of these models. A correlation heatmap was used to evaluate the correlation between the radiomics score and traditional CCTA factors. The interpretable analysis of the decision process of the combined model was performed by the Shapley Additive exPlanations (SHAP). Results:In the validation cohort and the test cohort, the AUC of the traditional imaging model developed by the vessel, plaque type, positive remodeling and CAD-RADS score was 0.898 (95% CI 0.869-0.922) and 0.881 (95% CI 0.848-0.910), respectively. The radiomics model developed by six radiomics features was 0.863 (95% CI 0.831-0.891) and 0.863 (95% CI 0.827-0.864), respectively. The AUC of the combined model was 0.930 (95% CI 0.905-0.950)and 0.919 (95% CI 0.889-0.942), respectively. In the validation cohort and the test cohort, the AUC of the combined model was higher than that of the traditional imaging model ( Z=4.013, 4.272, P<0.001) and that of the radiomics model ( Z=4.819, 3.784, P<0.001), respectively. In the validation cohort, the combined model yielded an NRI of 20.43% (95% CI 10.43%-30.44%, P<0.001) and 20.21% (95% CI 9.62%-30.80%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. In the test cohort, the combined model yielded an NRI of 28.05% (95% CI 16.72%-39.38%, P<0.001) and 23.57% (95% CI 13.58%-33.56%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. DCA showed the combined model had the highest clinical net benefit. The correlation heatmap showed the radiomics score was not correlated or only weakly correlated with traditional CCTA factors. SHAP indicated the radiomics and CAD-RADS score contributed significantly to the model. Conclusion:The CCTA-based traditional features and radiomics of plaque have favorable performance for the identification of culprit plaques in patients with AMI.

Anti-leucine-rich glioma-inactivated 1 protein (LGI1) antibody-associated encephalitis is an autoimmune encephalitis mediated by LGI1 antibodies, which can occur in both adults and children. Its common clinical manifestations include epileptic seizures, cognitive and psychiatric disorders; rare symptoms include sleep disorders and autonomic disorders; and its characteristic manifestations are faciobrachial dystonic seizures and refractory hyponatremia. Since anti-LGI1 antibody-associated encephalitis is relatively rare in clinical practice, this article reviews the disease in terms of etiology and pathogenesis, clinical manifestations, auxiliary examinations, diagnosis and differential diagnosis, treatment, recurrence and prognosis. It aims to improve clinicians′ understanding of this disease, provide references for its early diagnosis and treatment, and thereby improve patients′ prognosis.

To summarize the clinical experience of Professor LIU Jinmin in treatment for epilepsy. It is believed that main pathogenesis of epilepsy is yangming failure to close and vital activity loss control， so a therapeutic approach focused on restoring the closure of yangming and regaining vital activity was proposed for the treatment of epilepsy. For excess syndrome， the treatment focuses on draining excess and descending qi， promoting purgation and restoring spirit. When yangming dryness-heat predominates， the approach involves unblock the bowels and regulating the spirit， descending qi and reducing fire， with modified Chengqi Decoction （承气汤） as prescription； when yangming phlegm-fire predominates， the treatment focuses on clearing heat and resolving phlegm， calming mind and suppressing fright， with modified Qingxin Wendan Decoction （清心温胆汤） as prescription； when yangming blood stasis predominates， the approach involves breaking up blood stasis and promoting purgation， eliminating stasis and awakening the mind， with Taoren Chengqi Decoction （桃核承气汤） as prescription. For deficiency syndrome， the treatment emphasizes tonifying deficiency and raising qi， strengthening the stomach and nourishing the spirit. When center qi deficiency and sinking of clear qi of the nutrients from food， the approach involves replenishing and uplifting qi while nourishing vital activity， with modified Liujunzi Decoction （六君子汤） as prescription； when yin deficiency and fluid consumption， the treatment focuses on nourishing stomach and tonifying yin， promoting fluid production and calming the spirit， with modified Maimendong Decoction （麦门冬汤） combined with Yiwei Decoction （益胃汤） as prescriptions. In clinical situations of deficiency-excess complex， it is essential to distinguish the primary condition from the secondary， applying both supplementing and draining methods flexibly to achieve optimal treatment.

In recent years, the relationship between intestinal flora dysbiosis and abnormal bile acid metabolism and anxiety has received widespread attention. This article discussed the biological mechanism of the pathogenesis of anxiety from the perspective of intestinal flora and bile acid metabolism, in order to provide new ideas and theoretical basis for the TCM prevention and treatment of anxiety. According to TCM, spleen and stomach belong to earth, liver and gallbladder belong to wood, when spleen qi is healthy, the normal distribution of water and grain essence can be achieved, so that the liver can be nourished, qi and blood is sufficient, and its excretory function is normal, and the bile is sufficient. Once the spleen is not healthy, the distribution of water and grain essence is good, affecting the metabolism of fluids, resulting in phlegm and dampness, the qi is not smooth, can affect the liver's excretory function; liver and wood depression for a long time, transgressing the spleen and earth, qi and blood lack of biochemical sources, the formation of soil congestion and wood depression of the pathological phenomenon will appear. From the viewpoint of modern medicine and molecular biology, changes in the structure of intestinal flora affect the organism through neurological, endocrine, immune and metabolic pathways, which is consistent with the pathogenesis of "congestion of the earth"; disorders in the metabolism of bile acids can lead to changes in neurotransmitters and synaptic structure in the brain, causing anxiety symptoms, which is consistent with the characteristics of "wood depression". The bile acid metabolism disorder can cause neurotransmitter and synaptic structure changes in the brain, causing anxiety symptoms, which is consistent with the characteristics of "wood depression". It is important to regulate the intestinal flora and bile acid metabolism pathway to ease the liver and strengthen the spleen to improve anxiety.

ObjectiveTo collate and compare the characteristics and differences in the methods for constructing animal models of different subtypes of gastroesophageal reflux disease （GERD） based on literature， providing a reference for researchers in this field regarding animal model construction. MethodsExperimental studies related to GERD including reflux esophagitis （RE）， nonerosive reflux disease （NERD） and Barrett's esophagus （BE） model construction from January 1， 2014 to January 27， 2024， were retrieved from databases such as CNKI， Wanfang， VIP， Web of Science， and Pubmed. Information on animal strains， genders， modeling methods including disease-syndrome combination models， modeling cycles were extracted； for studies with model evaluation， the methods of model evaluation were also extracted； then analyzing all those information. ResultsA total of 182 articles were included. SD rats were most frequently selected when inducing animal models of RE （88/148， 59.46%） and NERD （9/14， 64.29%）. For BE， C57BL/6 mice were most commonly used （11/20， 55.00%）. Male animals （RE： 111/135， 82.22%； NERD： 11/14， 78.57%； BE： 10/12， 83.33%） were the most common gender among the three subtypes. The key to constructing RE animal models lies in structural damage to the esophageal mucosal layer， gastric content reflux， or mixed reflux， among which forestomach ligation + incomplete pylorus ligation （42/158， 26.58%） was the most common modeling method； the key to constructing NERD animal models lies in micro-inflammation of the esophageal mucosa， visceral hypersensitivity， and emotional problems， and intraperitoneal injection of a mixed suspension of ovalbumin and aluminum hydroxide combined with acid perfusion in the lower esophagus （8/14， 57.14%） was the most common modeling method； the key to constructing BE animal models lies in long-term inflammatory stimulation of the esophageal mucosa and bile acid reflux， and constructing interleukin 2-interleukin 1β transgenic mice （7/25， 28.00%） was the most common modeling method. Adverse psychological stress was the most common method for inducing liver depression. ConclusionsThe construction key principles and methodologies for RE， NERD， and BE animal models exhibit significant differences. Researchers should select appropriate models based on subtype characteristics （e.g.， RE focusing on structural damage， NERD emphasizing visceral hypersensitivity）. Current studies show insufficient exploration of traditional Chinese medicine disease-syndrome combination models. Future research needs to optimize syndrome modeling approaches （e.g.， composite etiology simulation） and establish integrated Chinese-Western medicine evaluation systems to better support mechanistic investigations of traditional Chinese medicine.

ObjectiveTo investigate a suspected outbreak of healthcare-associated infection with carbapenem-resistant Klebsiella pneumoniae (CRKP) in a geriatric emergency ward, and to provide references for the prevention and control of multidrug-resistant bacteria in a hospital in Shanghai. MethodsOn-site epidemiological investigation, combined with environmental hygiene monitoring and pulsed field gel electrophoresis (PFGE) molecular typing method, were adopted to investigate a suspected outbreak of CRKP infection in the geriatric emergency ward of a hospital from October to November 2022, aiming at finding out factors caused the outbreak before taking corresponding control measures. ResultsA total of 3 cases of healthcare-associated CRKP infection were identified, of which 2 cases were homologous to a previous case of community-associated CRKP infection. What’s more, the 2 cases lived in the same ward with the latter and with adjacent beds, but the third case was non-homologous to the community-associated infection case. A total of 46 samples were collected from the environmental surfaces and the hands of healthcare workers, of which 7 samples tested positive for CRKP and were identical to the strains from the 2 healthcare-associated infection cases and the 1 community-associated infection case, originating from the bedrails, bedside tables, surface of non-invasive ventilator, bed curtains and panels of monitoring equipment, with a detection rate of 15.22%. But none of the 11 samples from the hands of healthcare workers tested positive for CRKP. The outbreak was effectively controlled after taking specific prevention and control measures such as strengthening personnel management, intensifying environmental cleaning and disinfection and strictly enforcing hand hygiene among healthcare workers. Subsequently, no similar new cases were reported during the 14-day follow-up period. ConclusionIncomplete environmental cleaning and disinfection, as well as inadequate enforcement of hand hygiene among heatheare workers may have contributed to the suspected outbreak of CRKP in the geriatric emergency ward. Early warning and timely investigation of suspected outbreaks of multidrug-resistant bacteria are crucial for preventing and controlling such outbreaks in hospitals.

Objective:To understand the trends of the disease burden of Alzheimer's disease(AD)attributable to high body mass index(BMI)and high fasting plasma glucose(FPG)in the past 30 years and future trends in China, and to provide suggestions for the prevention and treatment of AD.Methods:Based on the Global Burden of Disease Research Database(GBD), data on AD deaths and disability adjusted life years(DALYs)attributable to high BMI and high FPG were collected from 1990 to 2021 in Chinese and global populations.The Joinpoint log-linear regression model was used to explore and compare the changing trends of AD burden in China and globally from 1990 to 2021, and a Bayesian age-period-cohort model was constructed for predictive analysis.Results:In 2021, the age-standardized mortality and DALYs rates of AD attributed to high BMI in the Chinese population were 1.256/100, 000 and 24.751/100, 000, respectively, and those attributed to high FPG were 3.636/100, 000 and 66.721/100, 000, respectively.The age-standardized rates of mortality and DALYs of females were both higher than those of males.From 1990 to 2021, the age-standardized rates of mortality and DALYs of AD attributed to high BMI increased slowly at first and then rapidly in China, the corresponding average annual percent change(AAPC)and 95% confidence interval(95% CI)were 9.87%(9.63%-10.12%), and 9.81%(9.54%-10.09%), respectively( P<0.001). The age-standardized rates of mortality and DALYs of AD caused by high FPG showed a fluctuating upward trend, with AAPC of 0.29%(95% CI: 0.17%-0.41%)and 0.53%(95% CI: 0.45%-0.61%), respectively( P<0.001). It is predicted that by 2030, the age-standardized rates of mortality and DALYs of AD attributed to high BMI and high FPG in the whole population of China will increase to 4.87/100 000 and 97.20/100 000, both lower than the global level(5.45/100 000 and 100.24/100 000). In addition to a slight decline in the age-standardized mortality rate in Chinese men, the age-standardized rates of mortality and DALYs attributed to high BMI and high FPG in Chinese women and the global population will both show an upward trend. Conclusions:The burden of AD attributed to high BMI and high FPG is relatively severe, with gender differences, and is expected to increase slightly by 2030.It is recommended that early identification of key high-risk populations of AD should be strengthened, especially for the elderly and female groups.Interventions targeting modifiable risk factors should be carried out, and effective measures should be adopted to reduce the burden of AD.

Objective:To develop and assess a deep learning-based model for automatic segmentation of organs at risk (OARs) in postoperative brachytherapy for endometrial carcinoma (EC).Methods:A retrospective study was conducted on the computed tomography (CT) images of 108 EC patients who received high-dose-rate (HDR) 192Ir intracavitary vaginal-cuff brachytherapy (VCB) at the Peking University Third Hospital from November 2021 to October 2022. Then, the rectum, colon, small intestine, and bladder in these images were manually segmented. These patients were randomly divided into two groups using a random number table: 90 cases for training the 3D no-new-U-Net (nnU-Net) segmentation model and 18 cases for model testing. The precision and clinical applicability of the automatic segmentation model were assessed using geometric indexes including Dice similarity coefficient (DSC), Hausdorff distance (HD), and mean surface distance (MSD), as well as dose-volume parameters (DVPs) including the minimum dose to 0.1, 1.0, and 2.0 cm 3 of OARs that received the highest irradiation doses ( D0.1 cm 3, D1.0 cm 3, and D2.0 cm 3). Results:The 3D nnU-Net model yielded mean DSC values of 0.90, 0.85, 0.88, and 0.95, respectively for the segmentations of the rectum, colon, small bowel, and bladder, all of which were better than those of the 3D U-Net and V-Net models. The differences among the three models were statistically significant ( F = 21.78, 24.33, 36.00, 20.11, P < 0.001). The 3D nnU-Net exhibited statistically significant differences in HD values for the colon, small intestine, and bladder segmentations among the three method ( F = 17.33, 24.11, 6.33, P < 0.05). The 3D nnU-Net model yielded lower MSD values for the segmentations of all organs compared to the control model, with statistically significant differences ( F = 29.78, 27.11, 27.11, 14.78, P < 0.001). No statistically significant difference was found in all DVPs between the 3D nnU-Net model-based and manual segmentations ( P > 0.05). Bland-Altman analysis demonstrated great consistency between the 3D nnU-Net and manual segmentations. Conclusions:The 3D nnU-Net-based model exhibits high geometric accuracy and dosimetric consistency with manual segmentation of OARs in brachytherapy, holding potential to improve clinical efficiency.

Objective:To design and develop a battlefield first-aid simulated training system, to evaluate the application effect of the system through a quasi-experimental controlled trial, and to provide training means to support the enhancement of Chinese army's first-line treatment capability.Methods:A battlefield first-aid simulated training system was designed and developed with the guidance of the theory of "experiential learning cycle". From March to June 2023, 108 health sergeants who participated in non-academic education training from a military medical university were recruited to a quasi-experimental controlled trial and randomly divided into a control group and an experimental group, with 54 sergeants each. The control group was trained using traditional face-to-face simulation training, and the experimental group was trained using the Battlefield First-aid Simulated Training System. The differences in effects of computer simulation training and traditional face-to-face simulation training were compared, with the primary evaluation indices being the first-aid knowledge level and inferential capability of rescue on the battlefield, and the secondary evaluation indices being the self-perception and training satisfaction. The SPSS 26.0 software was used for conducting the t test, chi-square test or Fisher's exact probability test, and non-parametric test. Results:All 108 subjects completed the training and had an improvement in the knowledge level, self-perception, and inferential capability of rescue after the training ( P<0.001). The difference in the degree of improvement in the knowledge level [(19.93±8.98) vs. (16.55±10.10)] and self-perception [10.50 (7.00, 13.25) vs. 10.00 (7.00, 12.50)] was not statistically significant between the experimental group and the control group ( P>0.05), but the degree of improvement in the inferential capability of rescue of the experimental group [6.00 (5.00, 9.25)] was significantly lower than that of the control group [8.00 (7.00, 11.00)] ( P<0.05). There was no significant difference in the training satisfaction scores between the two groups ( P>0.05). Conclusions:The system has a similar training effect to traditional face-to-face simulation training, but shows a slight deficiency in the improvement in the inferential capability of rescue. It serves as a recommended training resource and format from battlefield first-aid theory learning to practical application. The system still needs to be optimized and improved in the aspects of functionality, simulation, and intellectualization in the future.