OBJECTIVE To evaluate the efficacy and safety of total glucosides of paeonia （TGP） in the treatment of systemic lupus erythematosus （SLE）. METHODS Randomized controlled trial （RCT） about TGP combined with western medicine versus western medicine alone for SLE treatment were retrieved from PubMed， Embase， Cochrane Library， Web of Science， CNKI， VIP， Wanfang Data， and CBM. The search period spanned from the inception of each database to June 1， 2025. After literature screening， data extraction， and quality assessment of the included studies， Meta-analysis was performed using RevMan 5.4 software. RESULTS Fifteen RCTs， involving 1 318 patients， were included. Meta-analysis results showed that compared with western medicine alone， TGP combined with western medicine significantly improved clinical efficacy [OR＝4.96， 95%CI（3.41， 7.23）， P＜0.000 01]， complement 3 [MD＝0.18， 95%CI （0.13， 0.23）， P＜0.000 01] and complement 4[MD＝0.08， 般021） 95%CI （0.04， 0.11）， P＜0.000 01]， and reduced the levels of immunoglobulin G （IgG） [MD＝－3.10， 95%CI （－3.59，－2.62）， P＜0.000 01]， IgA [MD＝－0.68， 95%CI （－0.78， －0.58）， P＜0.000 01]， IgM [MD＝－0.43， 95%CI （－0.53，－0.34）， P＜0.000 01]， systemic lupus erythematosus disease activity index （SLEDAI） [MD＝－1.59， 95%CI （－2.20， －0.99）， P＜0.000 01]， recurrence rate [OR＝0.23， 95%CI （0.13， 0.42）， P＜0.000 01] and the incidence of adverse drug reactions [OR＝ 0.54， 95%CI （0.36， 0.82）， P＝0.004]. CONCLUSIONS TGP therapy can improve clinical efficacy of SLE patients， promote the restoration of immunoglobulins and complements， reduce SLEDAI and recurrence rate and has good safety.

Subtype classification of age-related macular degeneration (AMD) based on optical coherence tomography (OCT) images serves as an effective auxiliary tool for clinicians in diagnosing disease progression and formulating treatment plans. To improve the classification accuracy of AMD subtypes, this study proposes a keypoint-based, attention-enhanced residual network (KPA-ResNet). The proposed architecture adopts a 50-layer residual network (ResNet-50) as the backbone, preceded by a keypoint localization module based on heatmap regression to outline critical lesion regions. A two-dimensional relative self-attention mechanism is incorporated into convolutional layers to enhance the representation of key lesion areas. Furthermore, the network depth is appropriately increased and an improved residual module, ConvNeXt, is introduced to enable comprehensive extraction of high-dimensional features and enrich the detail of lesion boundary contours, ultimately achieving higher classification accuracy of AMD subtypes. Experimental results demonstrate that KPA-ResNet achieves significant improvements in overall classification accuracy compared with conventional convolutional neural networks. Specifically, for the wet AMD subtypes, the classification accuracies for inactive choroidal neovascularization (CNV) and active CNV reach 92.8% and 95.2%, respectively, representing substantial improvement over ResNet-50. These findings validate the superior performance of KPA-ResNet in AMD subtype classification tasks. This work provides a high-accuracy, generalizable network architecture for OCT-based AMD subtype classification and offers new insights into integrating attention mechanisms with convolutional neural networks in ophthalmic image analysis.
Tomography, Optical Coherence/methods* ; Humans ; Macular Degeneration/diagnostic imaging* ; Neural Networks, Computer

Objective:To analyze the characteristics of patients with chronic rhinosinusitis (CRS) in the South China region based on pathological tissue biomarkers for regional comparison.Methods:The study population consisted of CRS in-patients in the First Affiliated Hospital of Sun Yat-sen University from October 2019 to June 2022. Among all the 181 cases, 123 of them were male and 58 were female, with an average age of 40. Retrospectively collected clinical data included demographic information, preoperative symptom scores, preoperative endoscopic images, preoperative paranasal sinus computed tomography scanning images, and inflammatory serological features. In addition, 52 variables of pathological tissue biomarkers including cytokines, chemokines and remodeling factors were collected for analysis. Cluster analysis was performed on the integrated data of training set through centroid-based clustering algorithm, and the inflammatory characteristics, post-operation control status, and airway diseases comorbidity of each endotype were analyzed. R project (version 4.2.2) was used in statistical analysis.Results:Cluster analysis divided 181 patients with CRS into 4 endotypes. Cluster 1 ( n=101, 55.80%) showed a locally low inflammatory status. Cluster 2 ( n=23, 12.71%) showed a mixed type of inflammation with predominantly neutrophilic inflammation and tissue remodeling. Cluster 3 ( n=11, 6.08%) was characterized by type Ⅱ inflammation without tissue remodeling. Cluster 4 ( n=46, 25.41%) was mainly characterized by type Ⅱ inflammation with tissue remodeling, showing higher comorbidity rate of asthma and allergic rhinitis. This cluster presented more severe symptoms, significant olfactory dysfunction, extensive overall inflammation based on objective examination results, a notable increase in total eosinophil count and proportion in peripheral blood, and the highest uncontrolled rate observed one year post-surgery. In comparison to other regions, the endotype classification of CRS in Southern China was characterized by a predominant pattern of locally low inflammatory status, a moderate level of type Ⅱ inflammation with tissue remodeling, and a lesser presence of neutrophilic inflammation. Conclusion:CRS distribution in Southern China is mainly characterized by low inflammatory endotype and type Ⅱ inflammation with tissue remodeling. The latter shows more severe clinical manifestations and higher uncontrol rate after surgery.

Objectives:To develop and validate predictive models for esophageal squamous cell carcinoma (ESCC) using circulating cell-free DNA (cfDNA) terminal motif analysis. The goal was to improve the non-invasive detection of early-stage ESCC and its precancerous lesions.Methods:Between August 2021 and November 2022, we prospectively collected plasma samples from 448 individuals at the Department of Endoscopy, Cancer Hospital, Chinese Academy of Medical Sciences for cfDNA extraction, library construction, and sequencing. We analyzed 201 cases of ESCC, 46 high-grade intraepithelial neoplasia (HGIN), 46 low-grade intraepithelial neoplasia (LGIN), 176 benign esophageal lesions, and 29 healthy controls. Participants, including ESCC patients and control subjects, were randomly assigned to a training set ( n=284) and a validation set ( n=122). The training cohort underwent z-score normalization of cfDNA terminal motif matrices and a selection of distinctive features differentiated ESCC cases from controls. The random forest classifier, Motif-1 (M1), was then developed through principal component analysis, ten-fold cross-validation, and recursive feature elimination. M1's efficacy was then validated in the validation and precancerous lesion sets. Subsequently, individuals with precancerous lesions were included in the dataset and participants were randomly allocated to newly formed training ( n=243), validation ( n=105), and test ( n=150) cohorts. Using the same procedure as M1, we trained the Motif-2 (M2) random forest model with the training cohort. The M2 model's accuracy was then confirmed in the validation cohort to establish the optimal threshold and further tested by performing validation in the test cohort. Results:We developed two cfDNA terminal motif-based predictive models for ESCC and associated precancerous conditions. The first model, M1, achieved a sensitivity of 90.0%, a specificity of 77.4%, and an area under the curve (AUC) of 0.884 in the validation cohort. For LGIN, HGIN, and T1aN0 stage ESCC, M1's sensitivities were 76.1%, 80.4%, and 91.2% respectively. Notably, the sensitivity for jointly predicting HGIN and T1aN0 ESCC reached 85.0%. Both the predictive accuracy and sensitivity increased in line with the cancer's progression ( P＜0.001). The second model, M2, exhibited a sensitivity of 87.5%, a specificity of 77.4%, and an AUC of 0.857 in the test cohort. M2's sensitivities for detecting precancerous lesions and ESCC were 80.0% and 89.7%, respectively, and it showed a combined sensitivity of 89.4% for HGIN and T1aN0 stage ESCC. Conclusions:Two predictive models based on cfDNA terminal motif analysis for ESCC and its precancerous lesions are developed. They both show high sensitivity and specificity in identifying ESCC and its precancerous stages, indicating its potential for early ESCC detection.

Objective To establish a clinical-CT model,and to observe its value for evaluating lymphovascular invasion(LVI)and/or perineural invasion(PNI)in esophageal squamous cell carcinoma(ESCC).Methods Data of 156 ESCC patients were retrospectively analyzed.The patients were divided into positive group(n=58,LVI[+]and/or PNI[+])and negative group(n=98,LVI[-]and PNI[-])according to postoperative pathological results.Clinical and CT data were compared between groups.Logistic regression analysis was performed to establish a model,and its efficacy of evaluating ESCC LVI and/or PNI was analyzed.Results Significant differences of carcinoembryonic antigen(CEA),carbohydrate antigen 199(CA199),tumor thickness,tumor volume and CT venous phase value(CTV),the difference between CTV and CT plain phase value(CTP)(△CTV-P)and venous phase enhancement rate(V％)were found between groups(all P＜0.05),and the area under the curve(AUC)of the above parameters for evaluating ESCC LVI and/or PNI was 0.702,0.690,0.731,0.744,0.621,0.631 and 0.599,respectively.CEA,CA199,tumor thickness,tumor volume and CTV were all independent predictive factors for ESCC LVI and/or PNI.A combined model was established based on the above features,and its accuracy,sensitivity and specificity for evaluating ESCC LVI and/or PNI was 82.05％,65.52％and 91.84％,respectively,with AUC of 0.838,higher than that of each single parameter(all P＜0.05).Conclusion The established clinical-CT model could effectively evaluate ESCC LVI and/or PNI.

Objective:To investigate the application effect of bullet screen interaction in the teaching of internal medicine of traditional Chinese medicine.Methods:A randomized controlled trial was conducted, and 150 students were randomly divided into bullet screen interaction group and traditional interaction group and received teaching with bullet screen interaction and traditional interaction, respectively. Flanders Interaction Analysis System (FIAS), class rating, questionnaire survey, and performance test were used to evaluate the effect of classroom interaction and teaching achievement. SPSS 22.0 was used to perform the t-test and the chi-square test. Results:Compared with the traditional interaction group, the bullet screen interaction group had a significantly lower teacher's language ratio [(62.63±2.83)% vs. (71.05±3.19)%] and significantly higher student's language ratio [(32.68±2.62)% vs. (22.79±1.32)%], teacher's indirect/direct influence ratio [(96.63±9.59)% vs. (69.84±3.48)%], and teacher's positive/negative influence ratio [(122.89±6.43)% vs. (50.58±2.35)%]. Compared with the traditional interaction group, the bullet screen interaction group had significantly higher scores of teacher's emotional atmosphere (23.82±6.54 vs. 21.01±6.51), quality of classroom activities (25.67±5.51 vs. 22.56±11.95), and information transmission of teacher's classroom interactive activities (25.46±10.30 vs. 18.44±6.52). The questionnaire survey showed that compared with the traditional interaction group, the bullet screen interaction group had a significantly higher number of the students who selected excellent and good for student interest in classroom, dullness of classroom, and the mastery of classroom knowledge [104 (69.33%)/110 (73.33%)/106 (70.67%) vs. 72(48.00%)/74 (49.33%)/84(56.00%)], and the bullet screen interaction group had significantly higher scores of basic knowledge and case analysis than the traditional interaction group (84.30±4.13/78.53±7.21 vs. 79.26±5.67/72.56±4.22).Conclusions:The application of bullet screen interaction teaching in the teaching of internal medicine of traditional Chinese medicine can help to improve interactive effect and teaching achievement.

Objectives:To develop and validate predictive models for esophageal squamous cell carcinoma (ESCC) using circulating cell-free DNA (cfDNA) terminal motif analysis. The goal was to improve the non-invasive detection of early-stage ESCC and its precancerous lesions.Methods:Between August 2021 and November 2022, we prospectively collected plasma samples from 448 individuals at the Department of Endoscopy, Cancer Hospital, Chinese Academy of Medical Sciences for cfDNA extraction, library construction, and sequencing. We analyzed 201 cases of ESCC, 46 high-grade intraepithelial neoplasia (HGIN), 46 low-grade intraepithelial neoplasia (LGIN), 176 benign esophageal lesions, and 29 healthy controls. Participants, including ESCC patients and control subjects, were randomly assigned to a training set ( n=284) and a validation set ( n=122). The training cohort underwent z-score normalization of cfDNA terminal motif matrices and a selection of distinctive features differentiated ESCC cases from controls. The random forest classifier, Motif-1 (M1), was then developed through principal component analysis, ten-fold cross-validation, and recursive feature elimination. M1's efficacy was then validated in the validation and precancerous lesion sets. Subsequently, individuals with precancerous lesions were included in the dataset and participants were randomly allocated to newly formed training ( n=243), validation ( n=105), and test ( n=150) cohorts. Using the same procedure as M1, we trained the Motif-2 (M2) random forest model with the training cohort. The M2 model's accuracy was then confirmed in the validation cohort to establish the optimal threshold and further tested by performing validation in the test cohort. Results:We developed two cfDNA terminal motif-based predictive models for ESCC and associated precancerous conditions. The first model, M1, achieved a sensitivity of 90.0%, a specificity of 77.4%, and an area under the curve (AUC) of 0.884 in the validation cohort. For LGIN, HGIN, and T1aN0 stage ESCC, M1's sensitivities were 76.1%, 80.4%, and 91.2% respectively. Notably, the sensitivity for jointly predicting HGIN and T1aN0 ESCC reached 85.0%. Both the predictive accuracy and sensitivity increased in line with the cancer's progression ( P＜0.001). The second model, M2, exhibited a sensitivity of 87.5%, a specificity of 77.4%, and an AUC of 0.857 in the test cohort. M2's sensitivities for detecting precancerous lesions and ESCC were 80.0% and 89.7%, respectively, and it showed a combined sensitivity of 89.4% for HGIN and T1aN0 stage ESCC. Conclusions:Two predictive models based on cfDNA terminal motif analysis for ESCC and its precancerous lesions are developed. They both show high sensitivity and specificity in identifying ESCC and its precancerous stages, indicating its potential for early ESCC detection.

BACKGROUND: In the intricate pathological milieu post-spinal cord injury (SCI), neural stem cells (NSCs) frequently differentiate into astrocytes rather than neurons, significantly limiting nerve repair. Hence, the utilization of biocompatible hydrogel scaffolds in conjunction with exogenous factors to foster the differentiation of NSCs into neurons has the potential for SCI repair. METHODS: In this study, we engineered a 3D-printed porous SilMA hydrogel scaffold (SM) supplemented with pH-/ temperature-responsive paclitaxel nanoparticles (PTX-NPs). We analyzed the biocompatibility of a specific concentration of PTX-NPs and its effect on NSC differentiation. We also established an SCI model to explore the ability of composite scaffolds for in vivo nerve repair. RESULTS: The physical adsorption of an optimal PTX-NPs dosage can simultaneously achieve pH/temperature-responsive release and commendable biocompatibility, primarily reflected in cell viability, morphology, and proliferation.An appropriate PTX-NPs concentration can steer NSC differentiation towards neurons over astrocytes, a phenomenon that is also efficacious in simulated injury settings. Immunoblotting analysis confirmed that PTX-NPs-induced NSC differentiation occurred via the MAPK/ERK signaling cascade. The repair of hemisected SCI in rats demonstrated that the composite scaffold augmented neuronal regeneration at the injury site, curtailed astrocyte and fibrotic scar production, and enhanced motor function recovery in rat hind limbs. CONCLUSION The scaffold’s porous architecture serves as a cellular and drug carrier, providing a favorable microenvironment for nerve regeneration. These findings corroborate that this strategy amplifies neuronal expression within the injury milieu, significantly aiding in SCI repair.

Femoral neck fracture (FNF) in the elderly patients is currently a major health challenge worldwide, with excessive consumption of medical resources, high incidence of complications as well as suboptimal outcome and prognosis. Hip joint arthroplasty (HJA) has been the mainstream treatment for FNF in the elderly, but the conventional surgical approaches and techniques are still confronted with a series of bottlenecks such as dislocation, limp and limb length discrepancy. In recent years, direct anterior approach (DAA) for HJA (DAA-HJA) has been a major new choice in the field of joint replacement, which achieves improved clinical effectiveness of HJA in the treatment of elderly FNF, due to the fact that DAA approach involves the neuromuscular interface and accords with the idea of soft tissue retention and enhanced recovery after surgery. However, there is still a lack of unified understanding of standard technique and procedure of DAA-HJA in the treatment of elderly FNF. Therefore, relevant experts from the Hip Joint Group of Chinese Orthopedics Association of Chinese Medical Association, Youth Arthrology Group of Orthopedic Committee of PLA, Orthopedic Committee of Chongqing Medical Association, Branch of Orthopedic Surgeons of Chongqing Medical Doctor Association and Sport Medicine Committee of Chongqing Medical Association were organized to formulate the " Chinese expert consensus on the technical standard of direct anterior hip arthroplasty for elderly femoral neck fracture ( version 2023)" based on evidence-based medicine. This consensus mainly proposed 13 recommendations covering indications, surgical plans, prosthesis selections, surgical techniques and processes, and postoperative management of DAA-HJA in elderly patients with FNF, aiming to promote standardized, systematic and patient-specific diagnosis and treatment to improve the functional prognosis of the patients.

With the economic development of China and transformation of medical model, people pay more attention to their spiritual world and psychological health, and medical psychology has become a major in urgent need of construction. Foreign medical/clinical psychology education was established earlier and has become relatively mature, thus making its experience valuable for reference. This paper compares and analyzes the current situation of undergraduate medical psychology education, and puts forward optimization strategies from the aspects of college planning, curriculum training scheme and teachers’ teaching philosophy, hoping to provide some ideas for the construction of undergraduate medical psychology education in China.