1.Exploring the Etiology,Pathogenesis,and Syndrome Treatment of Post-stroke Depression Based on"Tongyuan Theory"
Yifan HAN ; Fei NING ; Xinting ZHANG
Journal of Guangzhou University of Traditional Chinese Medicine 2025;42(6):1527-1532
Under the guidance of the Tongyuan theory,this study organizes the diagnostic and therapeutic approach for post-stroke depression(PSD).Based on the pathological characteristics of PSD patients,such as mental malnourishment and deficiency of primordial qi,combined with the etiology and pathogenesis,the Tongyuan theory suggests that the key to treating PSD lies in"unblocking the governor vessel and nourishing primordial qi".In clinical practice,the combination of acupuncture and herbal medicine is used to cultivate primordial qi,regulate the mind,and harmonize yin and yang,thereby achieving the effects of regulating qi and nourishing the spirit,strengthening body resistance and resolving depression.
2.The rehabilitation outcomes and medical expenditures of stroke patients in the neurology and rehabilitation departments using the International Classification of Functioning, Disability and Health′s Rehabilitation Set
Xiu XU ; Tanyao JIANG ; Tiebin YAN ; Sizhen CHEN ; Na YU ; Xiangyang CHEN ; Xinting ZHANG ; Zhongping ZHANG
Chinese Journal of Physical Medicine and Rehabilitation 2025;47(9):847-852
Objective:To evaluate the outcomes of stroke treatment in neurology and rehabilitation departments using the International Classification of Functioning, Disability and Health′s Rehabilitation Set (ICF-RS).Method:The functional status of stroke survivors before and after treatment in the neurology and rehabilitation departments was evaluated using the ICF-RS (30 items). Each patient′s functioning was graded (normal, mild, moderate or severe dysfunction) by an experienced clinical evaluator and also by the intelligent evaluation model in the ICF-RS app. Medical expenditure data during hospitalization were extracted from the hospital′s case records. Rank sum tests compared the functional changes in a patient before and after their rehabilitation. Kappa coefficients were computed to evaluate the consistency of the functional grades assigned by the evaluators and the app.Results:Before the rehabilitation treatment, all 30 items of the ICF-RS were abnormal for all of the patients from the neurology and rehabilitation departments. After their rehabilitation treatment, 25 items had improved significantly for the neurology patients and 8 had improved significantly for those from the rehabilitation department. After their rehabilitation treatment, the average functional improvement among the neurology patients was 25%. For the rehabilitation patients it was 13%. The total expenditure for every 1% improvement in function was Y977 for the neurology patients (including Y143 for rehabilitation) and Y1, 481 for the rehabilitation patients (including Y862 of actual rehabilitation). The proportions of rehabilitation expenditure were thus 14% and 58% respectively. The kappa coefficients quantifying overall consistency were both greater than 0.8.Conclusion:The national standard ICF-RS can be used to evaluate functional changes, rehabilitation efficacy and the composition of stroke patients′ medical expenditures in the early stage of neurology and the recovery period in the rehabilitation department. The consistency of the functional level evaluations between the app and human evaluators is good.
3.Development and application on a full process disease diagnosis and treatment assistance system based on generative artificial intelligence.
Wanjie YANG ; Hao FU ; Xiangfei MENG ; Changsong LI ; Ce YU ; Xinting ZHAO ; Weifeng LI ; Wei ZHAO ; Qi WU ; Zheng CHEN ; Chao CUI ; Song GAO ; Zhen WAN ; Jing HAN ; Weikang ZHAO ; Dong HAN ; Zhongzhuo JIANG ; Weirong XING ; Mou YANG ; Xuan MIAO ; Haibai SUN ; Zhiheng XING ; Junquan ZHANG ; Lixia SHI ; Li ZHANG
Chinese Critical Care Medicine 2025;37(5):477-483
The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence
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Humans
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Delivery of Health Care
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Generative Artificial Intelligence
4.Research advances in the role and mechanism of tryptophan metabolism in tumor development and progression
Leng HAN ; Xinting ZHU ; Jiayu ZHANG ; Cheng GUO ; Quanjun YANG
Journal of Chongqing Medical University 2025;50(5):585-588
Amino acids are essential nutrients for the survival of all cells in the body,and their metabolic processes are closely associ-ated with tumor development and progression.The metabolic changes of the essential amino acid tryptophan have a significance impact on tumor microenvironment.Tryptophan is mainly metabolized to kynurenine(KYN)by indoleamine 2,3-dioxygenase and tryptophan 2,3-dioxygenase,and the accumulation of KYN and the deficiency of tryptophan cause alterations in the immune status in tumor micro-environment,which in turn affects tumor development and progression.Based on the current studies on tryptophan,this article system-atically discusses the influence of abnormal tryptophan metabolism on tumors and the interventions targeting this pathway,in order to provide a reference for subsequent tumor therapy.
5.Alterations of adenosine in tumor microenvironment and its impact on tumor treatment
Lingjie JING ; Leng HAN ; Dingyuan BAI ; Yuxuan ZHOU ; Xinting ZHU ; Jiayu ZHANG ; Cheng GUO ; Quanjun YANG
Journal of Chongqing Medical University 2025;50(9):1202-1211
Tumor microenvironment(TME)is the cellular environment for tumor development,growth,and metastasis.Adenosine(ADO)is an immunosuppressive metabolic product that is continuously upregulated in TME,with various types and wide distribution of receptors.The complex and dynamic interactions between ADO and tumor cells constantly influence tumor progression.ADO can di-rectly or indirectly promote tumor development and progression by promoting tumor generation and metastasis,mediating the immune escape of tumor,and modulating tumor-infiltrating immune cells.Based on the characteristics of ADOs in TME,this article reviews the latest advances in the dynamic alterations of ADO in TME,in order to provide insights into tumor treatment targeting the ADO pathway.
6.Research advances in cholesterol metabolism based on the role of tumor immunomodulation
Jiayu ZHANG ; Xinting ZHU ; Leng HAN ; Zhengyun ZHANG ; Xiuyan HUANG ; Jing ZHANG ; Jie LI ; Cheng GUO ; Quanjun YANG
Journal of Chongqing Medical University 2025;50(11):1500-1505
Cholesterol,as an important component of cell membranes,plays a multifaceted role in mediating tumor immunomodulation and drug intervention.In case of cholesterol metabolic imbalance,the accumulation of cholesterol metabolic intermediates,the changes in concentrations,and the regulation of related signaling pathways can affect tumor immunity by promoting inflammation and inhibiting immune cell function.Preclinical and clinical studies have shown that controlling cholesterol metabolism can inhibit tumor growth,re-shape body immune regulation,and enhance antitumor immunity.A deep understanding of the association between immune cells and cholesterol metabolic pathways in the tumor microenvironment can help to develop novel drugs targeting cholesterol metabolism.This article reviews the multifaceted role of cholesterol and its derived metabolites in the tumor microenvironment by regulating various types of immune cells such as myeloid-derived suppressor cells,tumor-associated macrophages,dendritic cells,and T-lymphocytes,as well as the characteristics of tumor immunomodulation mediated by cholesterol metabolism and the advances in pharmaceutical re-search on improving the immune function of the body by intervening against cholesterol,in order to further provide new ideas and a thera-peutic basis for cholesterol modulation and intervention in tumor im-munotherapy.
7.Development of sensitive index system of nursing quality in enteral nutrition for neurocritical patients
Haiyan WANG ; Hongshi CAO ; Xinting ZHANG ; Jingshu YANG ; Yao WANG ; Songyu WANG ; Xiaotian DUAN
Modern Clinical Nursing 2025;24(1):39-45
Objective To develop a scientific and reliable sensitive index system of nursing quality in enteral nutrition for neurocritical patients to ensure the effective implementation of enteral nutrition.Methods Literature on enteral nutrition for neurocritical patients were systematically retrieved from databases,such as BMJ Best Practice,UpToDate,Joanna Briggs Institute(JBI)Evidence-Based Healthcare Database,American Society for Parenteral and Enteral Nutrition(ASPEN),European Society for Clinical Nutrition and Metabolism(ESPEN),National Guideline Clearinghouse(NGC),Guidelines International Network(GIN),Medlive,the Cochrane Library,PubMed,Cumulative Index to Nursing and Allied Health Literature(CINAHL),SinoMed,and China National Knowledge Infrastructure(CNKI)and Wanfang Data.The initial questionnaire was formulated by using the quality evaluation model of"structure-process-outcome".The index system was established by using the Delphi method,and the index weight was determined by the analytic hierarchy process.Results A total of 11 papers were included,of which 5 were graded in A and 6 in B.The effective recovery rates of the two rounds of correspondence questionnaires were 100%(19/19),the expert authority coefficients was 0.864,and the Kendall harmony coefficients were 0.328 and 0.392(P<0.01),respectively.Consequently,a sensitive index system of nursing quality in enteral nutrition for neurocritical patients was established,which encompassed 3 primary indexes,10 secondary indexes and 28 tertiary indexes.Conclusion The index system developed in this study is scientific,reliable and clinically applicable.It conforms to the characteristics of clinical management and nursing,thereby it provides a reference for assessment of the nursing quality in enteral nutrition for neurocritical patients.
8.Construction of Prognostic Prediction Model of Patients Undergoing Radical Gastrectomy of Gastric Cancer Based on the Prognostic Immune-Inflammation-Nutrition Score
Xinting LUO ; Hongbing WANG ; Yuanxuan ZHANG
Journal of Medical Research 2025;54(7):152-157,84
Objective To explore the survival prediction value of the prognostic immune-inflammatory-nutritional(PIIN)score for patients undergoing radical gastrectomy and construct a prognostic prediction model.Methods To retrospectively analyze the clinical data of 406 patients who underwent radical gastrectomy.Calculate the PIIN score based on fibrinogen(FIB),neutrophil to lymphocyte ra-tio(NLR),systemic immune-inflammation index(SII),albumin-bilirubin(ALBI)score,and prognostic nutritional index(PNI).According to the threshold of 31.4906,the patients were divided into the high-PIIN group and the low-PIIN group.Conduct univariate and multivariate analyses using COX regression analysis,draw the time-dependent receiver operating characteristic(TIME ROC)curve,and compare the prognostic values of various scoring systems.To construct a nomogram based on the PIIN score for risk grouping and sur-vival analysis.Results Multivariate analysis showed that nerve invasion or not,degree of differentiation,T stage,N stage,adjuvant chemotherapy status,and PIIN score were independent independent factors for the overall survival rate of gastric cancer patients.TIME ROC curve analysis indicated that the PIIN score was superior to other scoring systems in predicting survival.The areas under the curves(AUC)of the 1-year,3-year,and 5-year ROC curvesof the nomogram were 0.788,0.794 and 0.854 respectively.Moreover,there was a statistically significant difference in survival prognosis among different risk groups(P<0.0001).Conclusion The nomogram model based on the PIIN score has good predictive ability in predicting the survival of patients undergoing radical gastrectomy for gastric cancer.
9.Construction of Prognostic Prediction Model of Patients Undergoing Radical Gastrectomy of Gastric Cancer Based on the Prognostic Immune-Inflammation-Nutrition Score
Xinting LUO ; Hongbing WANG ; Yuanxuan ZHANG
Journal of Medical Research 2025;54(7):152-157,84
Objective To explore the survival prediction value of the prognostic immune-inflammatory-nutritional(PIIN)score for patients undergoing radical gastrectomy and construct a prognostic prediction model.Methods To retrospectively analyze the clinical data of 406 patients who underwent radical gastrectomy.Calculate the PIIN score based on fibrinogen(FIB),neutrophil to lymphocyte ra-tio(NLR),systemic immune-inflammation index(SII),albumin-bilirubin(ALBI)score,and prognostic nutritional index(PNI).According to the threshold of 31.4906,the patients were divided into the high-PIIN group and the low-PIIN group.Conduct univariate and multivariate analyses using COX regression analysis,draw the time-dependent receiver operating characteristic(TIME ROC)curve,and compare the prognostic values of various scoring systems.To construct a nomogram based on the PIIN score for risk grouping and sur-vival analysis.Results Multivariate analysis showed that nerve invasion or not,degree of differentiation,T stage,N stage,adjuvant chemotherapy status,and PIIN score were independent independent factors for the overall survival rate of gastric cancer patients.TIME ROC curve analysis indicated that the PIIN score was superior to other scoring systems in predicting survival.The areas under the curves(AUC)of the 1-year,3-year,and 5-year ROC curvesof the nomogram were 0.788,0.794 and 0.854 respectively.Moreover,there was a statistically significant difference in survival prognosis among different risk groups(P<0.0001).Conclusion The nomogram model based on the PIIN score has good predictive ability in predicting the survival of patients undergoing radical gastrectomy for gastric cancer.
10.Development of sensitive index system of nursing quality in enteral nutrition for neurocritical patients
Haiyan WANG ; Hongshi CAO ; Xinting ZHANG ; Jingshu YANG ; Yao WANG ; Songyu WANG ; Xiaotian DUAN
Modern Clinical Nursing 2025;24(1):39-45
Objective To develop a scientific and reliable sensitive index system of nursing quality in enteral nutrition for neurocritical patients to ensure the effective implementation of enteral nutrition.Methods Literature on enteral nutrition for neurocritical patients were systematically retrieved from databases,such as BMJ Best Practice,UpToDate,Joanna Briggs Institute(JBI)Evidence-Based Healthcare Database,American Society for Parenteral and Enteral Nutrition(ASPEN),European Society for Clinical Nutrition and Metabolism(ESPEN),National Guideline Clearinghouse(NGC),Guidelines International Network(GIN),Medlive,the Cochrane Library,PubMed,Cumulative Index to Nursing and Allied Health Literature(CINAHL),SinoMed,and China National Knowledge Infrastructure(CNKI)and Wanfang Data.The initial questionnaire was formulated by using the quality evaluation model of"structure-process-outcome".The index system was established by using the Delphi method,and the index weight was determined by the analytic hierarchy process.Results A total of 11 papers were included,of which 5 were graded in A and 6 in B.The effective recovery rates of the two rounds of correspondence questionnaires were 100%(19/19),the expert authority coefficients was 0.864,and the Kendall harmony coefficients were 0.328 and 0.392(P<0.01),respectively.Consequently,a sensitive index system of nursing quality in enteral nutrition for neurocritical patients was established,which encompassed 3 primary indexes,10 secondary indexes and 28 tertiary indexes.Conclusion The index system developed in this study is scientific,reliable and clinically applicable.It conforms to the characteristics of clinical management and nursing,thereby it provides a reference for assessment of the nursing quality in enteral nutrition for neurocritical patients.

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