ObjectiveTo explore the effect of the medical-community linkage model on activities of daily living, psychological status and motor function of stroke patients in the community. MethodsA total of 60 stroke patients admitted to two community health service centers and their affiliated stations in Fengtai District, Beijing, from January, 2024 to August, 2025 were enrolled and randomly divided into control group (n = 30) and intervention group (n = 30). The control group received routine medicine, dietary care and rehabilitation management, while the intervention group underwent rehabilitation with the medical-community linkage model, for twelve weeks. They were assessed with modified Barthel Index (MBI), Hamilton Anxiety Scale (HAMA), Hamilton Depression Scale (HAMD) and Fugl-Meyer Assessment (FMA) before and after intervention. ResultsAfter intervention, the MBI, HAMA, HAMD and FMA scores of patients improved in both groups (|t| > 5.599, P < 0.001), and improved more in the intervention group than in the control group (P < 0.05), except MBI. The HAMA and HAMD scores of family members decreased in both groups (|t| > 10.333, P < 0.001), and decreased more in the intervention group than in the control group (t > 5.681, P < 0.001). ConclusionThe medical-community linkage model can further improve the motor function of stroke patients in community, as well as the psychological status of both patients and their family members.

Background/Aims: The pathophysiology of refractory gastroesophageal reflux disease (RGERD), which differs from proton pump inhibitor dependent gastroesophageal reflux disease (DGERD), remains incompletely elucidated. This study aims to compare esophageal motility patterns, transdiaphragmatic pressure gradients (TPG), and reflux profiles between RGERD and DGERD patients, and to delineate dynamic pressure gradient-esophagogastric junction (EGJ) interactions in these patients. Methods: In this retrospective study, 274 patients who underwent 24-hour impedance-pH monitoring and high-resolution manometry, along with an assessment of proton pump inhibitor responsiveness, were classified as RGERD (32.5%), DGERD (54.4%), or non-GERD (13.1%). Clinical characteristics, TPG, esophageal motility, and reflux metrics were compared between RGERD and DGERD patients. Subgroup analysis excluding hiatal hernia (HH) was conducted to investigate the pathophysiology of RGERD. Results: The RGERD group exhibited a significantly higher proportion of chest pain compared to the DGERD group. Regarding reflux profiles, RGERD patients without HH (RGERDHH- group) experienced increased weakly acidic reflux (P < 0.001) and prolonged bolus exposure (P = 0.006) compared to their counterparts (DGERDHH- group). Mechanistically, the RGERDHH- group showed reduced lower esophageal sphincter basal pressure (P = 0.010) and EGJ contractile integral (P = 0.005). Notably, following a wet-swallow, the RGERDHH- group experienced the significant elevation in gastric pressure and TPG. Correlation analyses revealed weakly acidic reflux and bolus exposure were positively correlated with gastric pressure variation, and inversely correlated with lower esophageal sphincter basal pressure. Conclusions Transient gastric pressure elevation and compromised EGJ barrier function drive weakly acidic reflux and esophageal bolus exposure. This pressure gradient-barrier mismatch underpins the refractoriness of RGERD.

Objective To construct and compare logistic regression and decision tree models for predicting systemic inflammatory response syndrome (SIRS) in patients with type B aortic dissection (TBAD) after interventional surgery. Methods A retrospective analysis was conducted on clinical data of TBAD patients at Peking University Shenzhen Hospital from 2020 to 2024. The patients were divided into a SIRS group and a non SIRS group based on whether SIRS occurred within 24 hours after surgery. Multivariate logistic regression was used to analyze the influencing factors of SIRS occurrence in TBAD intervention patients, and a decision tree model was constructed using SPSS Modeler to compare the predictive performance of the two models. Results A total of 742 patients with TBAD were included, including 579 males and 163 females, aged 27-97 (58.85±10.79) years. Within 24 hours after intervention, a total of 506 patients developed SIRS, with an incidence rate of 68.19%. Logistic regression analysis showed that the extensive involvement of the dissection, the surgical time≥2 hours, PET coated stents implanted, serum creatinine, white blood cell count, C-reactive protein, monocyte (MONO), neutrophil count levels elevated, estimated glomerular filtration rate and decreased albumin levels were independent risk factors for SIRS (P<0.05). The decision tree model selected a total of 10 explanatory variables and 6 layers with 37 nodes, among which MONO was the most important predictor. The area under the decision tree model curve was 0.829 [95%CI (0.800, 0.856)], which was better than the logistic regression model's 0.690 [95%CI (0.655, 0.723)], and the difference was statistically significant (P<0.001). Conclusion The incidence of SIRS after TBAD intervention is high, and the decision tree model has better predictive performance than logistic regression. It can identify high-risk patients with higher accuracy and provide a practical tool for early clinical intervention.

ObjectiveTo observe the clinical efficacy and safety of Tangning Tongluo tablets in the treatment of nonproliferative diabetic retinopathy （DR）. MethodsFourteen research centers participated in this study， which spanned a time interval from September 2021 to May 2023. A total of 240 patients with nonproliferative DR were included and randomly assigned into an observation group （120 cases） and a control group （120 cases）. The observation group was treated with Tangning Tongluo tablets， and the control group with calcium dobesilate capsules. Both groups were treated for 24 consecutive weeks. The vision， DR progression rate， retinal microhemangioma， hemorrhage area， exudation area， glycosylated hemoglobin （HbA1c） level， and TCM syndrome score were assessed before and after treatment， and the safety was observed. ResultsThe vision changed in both groups after treatment （P<0.05）， and the observation group showed higher best corrected visual acuity （BCVA） than the control group （P<0.05）. The DR progression was slow with similar rates in the two groups. The fundus hemorrhage area and exudation area did not change significantly after treatment in both groups， while the observation group outperformed the control group in reducing the fundus hemorrhage area and exudation area. There was no significant difference in the number of microhemangiomas between the two groups before treatment. After treatment， the number of microhemangiomas decreased in both the observation group （Z=-1.437， P<0.05） and the control group （Z=-2.238， P<0.05）， and it showed no significant difference between the two groups. As the treatment time prolonged， the number of microhemangiomas gradually decreased in both groups. There was no significant difference in the HbA1c level between the two groups before treatment. After treatment， the decline in the HbA1c level showed no significant difference between the two groups. The TCM syndrome score did not have a statistically significant difference between the two groups before treatment. After treatment， neither the TCM syndrome score nor the response rate had significant difference between the two groups. With the extension of the treatment time， both groups showed amelioration of TCM syndrome compared with the baseline. ConclusionTangning Tongluo tablets are safe and effective in the treatment of nonproliferative DR， being capable of improving vision and reducing hemorrhage and exudation in the fundus.

BACKGROUND: Lung cancer is the leading malignancy in China in terms of both incidence and mortality. With increased health awareness and the widespread use of low-dose computed tomography (CT), early diagnosis rates have been steadily improving. Surgical intervention remains the primary treatment option for early-stage lung cancer, and video-assisted thoracoscopic surgery (VATS) has become a common approach due to its minimal invasiveness and rapid recovery. However, post-discharge recovery remains incomplete, underscoring the importance of postoperative care. Traditional follow-up methods, lack standardization, consume significant medical resources, and increase the burden of the patients. Artificial intelligence (AI)-driven disease management platforms offer a novel solution to optimize postoperative follow-up. This study followed 463 lung cancer surgery patients using an AI-based platform, aiming to identify common postoperative issues, propose solutions, improve quality of life, reduce recurrence-related costs, and promote AI integration in healthcare. METHODS: Using the AI disease management platform, this study integrated educational videos, collaboration between healthcare teams and AI assistants, daily health logs, health assessment forms, and personalized interventions to monitor postoperative recovery. The postoperative rehabilitation status of the patients was assessed by the Leicester Cough Questionnaire (LCQ-MC). Two independent t-test and one-way ANOVA were used to analyze the causes of postoperative cough in lung cancer. RESULTS: Most issues occurred within 7 d post-discharge, significantly declined on 14 d post-discharge. Factors such as gender, smoking history, and surgical approaches were found to influence cough recovery. The incidence of cough on 7 d post-discharge in females was higher than that in males (P<0.01), while the incidence of cough on 14 d post-discharge in elderly patients was lower than that in young patients (P=0.03). The AI-based platform effectively addressed cough, pain, and sleep disturbances through phased interventions. CONCLUSIONS The AI-based platform significantly enhanced postoperative management efficiency and the self-care capabilities of the patients, particularly in phased cough management. Future integration with wearable devices could enable more precise and personalized postoperative care, further advancing the application of AI technology across multidisciplinary healthcare domains.
Humans ; Lung Neoplasms/rehabilitation* ; Male ; Female ; Middle Aged ; Aged ; Patient Discharge ; Artificial Intelligence ; Adult ; Postoperative Care ; Postoperative Period ; Disease Management ; Quality of Life

Objective To explore the pioneering symptoms of the gastrointestinal symptom cluster and their influencing factors in gastric cancer patients with chemotherapy.Methods Based on the hospital's management system for scientific research data,463 gastric cancer patients with chemothera-py were surveyed through multicenter collaboration by the corresponding module of the MD Anderson Symptom Inventory(MDASI),the Chinese Medicine Constitution Classification and Identification Standard,and the Chinese Medicine SyndromeIdentification Standard for Gastric Cancer.IBM SPSS Statistic 22.0 and IBM SPSS Modeler 18.0 were used for data analysis.Results The first occurrence of dry mouth in the gastrointestinal symptom cluster of gastric cancer patients with chemotherapy was(22.99±10.70)hours after chemotherapy.The support,confidence,and lift for the association be-tween dry mouth and decreased appetite were 62.2％,94.8％and 1.52,respectively;for dry mouth and nausea,the numerical values were 62.2％,89.6％and 1.44;for dry mouth and vomiting,the numerical values were 62.2％,79.5％and 1.28.The results of one-way ANOVA and multivariate linear regression analysis showed that alcohol consumption,syndrome of stomach heat injuring yin,and phlegm-dampness constitution were independent influencing factors for dry mouth in gastric cancer patients with chemotherapy(P＜0.05).Conclusion Dry mouth,as a pioneering symptom of the gastroin-testinal symptom cluster,is of great significance in clinical assessment and management.Improved assessment of dry mouth can provide a basis for the construction of subsequent risk prediction model,the formulation of targeted interventions,and the enhancement of symptom management efficiency.

Objective To analyze the risk factors for acute kidney injury(AKI)in patients with acute non-variceal upper gastrointestinal bleeding(ANVUGIB)and establish a prediction model.Methods A total of 286 ANVUGIB patients admitted to our hospital from August 2021 to August 2024 were enrolled.Patients were divided into an observation group(with AKI,n=43)and a control group(without AKI,n=243).The influencing factors for AKI in ANVUGIB patients were analyzed,and a nomogram prediction model was con-structed to evaluate its predictive efficacy.Results Among 286 ANVUGIB patients,43 cases(15.03%)de-veloped AKI.Logistic regression analysis showed that platelet count had no significant effect on AKI compli-cation in ANVUGIB(P>0.05).Hemoglobin,albumin,and sodium were independent protective factors for AKI complication(P<0.05),while comorbid coronary heart disease,bleeding volume,blood transfusion,and risk grade were independent risk factors(P<0.05).The nomogram prediction model for AKI complication in ANVUGIB demonstrated good fit in the Hosmer-Lemeshow test.ROC curve analysis revealed an AUC of 0.908(95%CI:0.868 to 0.939),with a sensitivity of 83.72%and specificity of 84.77%.The calibration curve showed a Brier score of 0.075 and calibration slope of 0.808,indicating good calibration.Conclusion Comorbid coro-nary heart disease,bleeding volume,blood transfusion,risk grade,hemoglobin,albumin,and sodium are signif-icant influencing factors for AKI complication in ANVUGIB.The nomogram model based on these factors shows favorable predictive performance and serves as a reliable tool for AKI risk stratification in ANVUGIB patients,supporting early clinical intervention decisions.

Bovine rotavirus(BRV)is an important pathogen causing diarrhea in calves.To understand the genomic charac-teristics and genetic variations in bovine rotavirus,and to further enrich data on the biological characteristics of rotavirus,we aimed to amplify 11 gene segments of the isolated and cultured G6P[1]bovine rotavirus BLL strain,perform whole genome se-quencing,and analyze the molecular characteristics.MEGA7.0 and DNAMAN software were used for homology and typing a-nalysis,and the whole genome phylogenetic tree was constructed to analyze genetic evolution relationships.The complete geno-type of the BLL strain was G6-P[1]-I2-R2-C2-M2-A3-N2-T6-E2-H3.Phylogenetic analysis of the VP7 and VP4 genes of the BLL strain showed that the VP7 gene had the highest homology with RVA/Cow-wt/HB01/China/2021,and the VP4 gene of the BLL strain was in the same branch as RVA/Human-tc/ISR/Ro8059/1995.From the sequence alignment of VP8*amino acids,the sialic acid domain of the BLL strain was found to be similar to that in other P[1]strains,but different from those in other types of strains,except for residue 189,which was the same as that in Ro8059 but different from that in other strains.The results suggested that the BLL strain might potentially infect humans.Therefore,continued monitoring and study of the biological characteristics of this strain are necessary to provide more information and evidence supporting further research on the cross-species transmission of group A rotavirus in China.

Objective:To construct an information management system based on the back-end framework of React componentization and front-end framework of Uni scalable enterprise,so as to explore its application effect in management for operation room.Methods:React was used as the backend framework to construct JavaScript program code library of user interface,and all front-end applications that adopted Uni as the development system of frontend framework were used to construct informatization management system based on React and Uni framework,so as to manage operation room of hospital.A total of 100 surgical equipment that were used in the operation room of Guizhou Provincial People's Hospital from January 2023 to December 2023 were selected.According to different management methods,the conventional management method was adopted to manage equipment during January and June 2023,while the management method of informatization management system(informatization management)based on React and Uni frameworks was adopted to manage these equipment during July and December 2023.The frequency of leaving operation room of nursing personnel due to non-nursing events,the timeliness rate of transporting surgical patients and incidence of adverse events of nursing,as well as implementation rates of"five confirmations"included confirmed equipment,confirmed staff,confirmed time,confirmed quality and confirmed quantity,between two kinds of management methods were compared.Results:In the 200 surgeries of adopting informatization management method,the frequency of leaving operation room of nursing personnel due to non-nursing events was 2.5%,which was lower than 7.5%of conventional management method,and the difference was statistically significant(x2=5.213,P<0.05).The implementation rate of the"five confirmations"for equipment was 100%,which was higher than that of conventional management methods,and the difference was statistically significant(x2=15.232,P<0.05).The timeliness rate of transporting surgical patients was 100%in 100 surgeries,which was higher than 85%of conventional management method,and the difference was significant(x2=15.136,P<0.05).The incidence of various kinds of adverse events of nursing in the operating room was 0 in 100 surgeries,which was lower than that of conventional management method,and the difference was statistically significant(x2=0.226,P<0.05).Conclusion:The informatization management system based on React and Uni framework can significantly reduce the frequency of leaving operation room of nursing personnel due to non-nursing events in operation room,and improve the work efficiency in operation room,and reduce the incidences of work errors and adverse events in management for surgery.

Objective To evaluate the application of flipped classroom(FC)approach in endocrine system integrated course for students from 4+4 clinical medicine pilot class at Peking Union Medical College(PUMC).Methods The study included the students of 4+4 clinical medicine pilot class grades 2019-2023 in PUMC.The students of grades 2019-2021(n=77)served as the control receiving traditional teaching method,while the students of grades 2022 and 2023(n=76)were selected as the experimental group,which were taught by FC approach.The selected teaching content is thyroid theme.The scoring rates of thyroid related questions in the final exam were as-sessed and a questionnaire survey was conducted to evaluate teaching satisfaction and effectiveness.Results The scoring rates of experimental group were significantly higher as compared to that of control group(P＜0.05).Over 90％of the students in the experimental group strongly satisfied or satisfied with the teaching content arrangement,design form,classroom atmosphere,teacher-student interaction of FC and expressed willingness to continue with this methodology.In addition,over 90％of the students strongly agreed or agreed that FC stimulated learning inter-est,improved self-learning ability,strengthened the connection between theory and clinical practice,inspired clini-cal reasoning,enhanced the abilities to analyze and solve problems,and cultivated communication and teamwork skills.Conclusions The application of FC approach in endocrine system integrated course achieved excellent teaching outcomes with high satisfaction of the students.