1.Design, synthesis and evaluation of oxadiazoles as novel XO inhibitors
Hong-zhan WANG ; Ya-jun YANG ; Ying YANG ; Fei YE ; Jin-ying TIAN ; Chuan-ming ZHANG ; Zhi-yan XIAO
Acta Pharmaceutica Sinica 2025;60(1):164-171
Xanthine oxidase (XO) is an important therapeutic target for the treatment of hyperuricemia and gout. Based on the previously identified potent XO inhibitor
2.Criteria and prognostic models for patients with hepatocellular carcinoma undergoing liver transplantation
Meng SHA ; Jun WANG ; Jie CAO ; Zhi-Hui ZOU ; Xiao-ye QU ; Zhi-feng XI ; Chuan SHEN ; Ying TONG ; Jian-jun ZHANG ; Seogsong JEONG ; Qiang XIA
Clinical and Molecular Hepatology 2025;31(Suppl):S285-S300
Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.
3.Development goals and strategies of ecological agriculture of Chinese materia medica.
Chuan-Zhi KANG ; Si-Qi LIU ; Bang-Xing HAN ; Tao ZHOU ; Xiao WANG ; Da-Hui LIU ; Ye YANG ; Lan-Ping GUO
China Journal of Chinese Materia Medica 2025;50(1):42-47
This paper aims to contribute to guaranteeing the stable development and enhancing the understanding of ecological agriculture of Chinese materia medica so that the national strategy and industrial demand can be better served. It first introduces current traditional Chinese medicine(TCM)policy and industrial development status from five aspects, including policy guarantee, theoretical support, technological innovation, standardization system, and brand influence. Then, the paper analyzes the development dilemma of TCM agriculture in production and quality increase and ecological environment protection. It also proposes the development goals of ecological agriculture of Chinese materia medica that meet the current industrial development demand, which are reducing chemical fertilizers, pesticides, and carbon emissions, improving quality, increasing efficiency, and protecting ecological environment. In addition, the new development goals are interpreted through case studies. Finally, this paper proposes four development strategies for ecological agriculture of Chinese materia medica: conducting research on the pattern and spatial and temporal variations of nationwide TCM production areas; studying the internal and external ecological memories of medicinal plant growth from the perspectives of genetic variations and environmental adaptation variations and elucidating their contributions to the formation of quality; carrying out selection and breeding of stress-resistant varieties for ecological agriculture of Chinese materia medica, the optimization of key technologies for soil improvement and restoration and green prevention and control against diseases and pests, and the improvement of quality; carrying out research on the quality assurance and value realization of ecological products made from TCM. This research can provide guidance for policy formulation, theoretical development of the discipline, and the enhancement of industrial technology for ecological agriculture of Chinese materia medica.
Agriculture/methods*
;
China
;
Drugs, Chinese Herbal
;
Plants, Medicinal/chemistry*
;
Ecosystem
;
Materia Medica
;
Medicine, Chinese Traditional
4.Criteria and prognostic models for patients with hepatocellular carcinoma undergoing liver transplantation
Meng SHA ; Jun WANG ; Jie CAO ; Zhi-Hui ZOU ; Xiao-ye QU ; Zhi-feng XI ; Chuan SHEN ; Ying TONG ; Jian-jun ZHANG ; Seogsong JEONG ; Qiang XIA
Clinical and Molecular Hepatology 2025;31(Suppl):S285-S300
Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.
5.Criteria and prognostic models for patients with hepatocellular carcinoma undergoing liver transplantation
Meng SHA ; Jun WANG ; Jie CAO ; Zhi-Hui ZOU ; Xiao-ye QU ; Zhi-feng XI ; Chuan SHEN ; Ying TONG ; Jian-jun ZHANG ; Seogsong JEONG ; Qiang XIA
Clinical and Molecular Hepatology 2025;31(Suppl):S285-S300
Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.
6.Explore the Application of Logistic Regression Model Based on Energy Spectral CT Parameters and Clinical Parameters Characteristics in the Diagnosis of Benign and Malignant Pulmonary Ground Glass Nodules
Fei MA ; Qing-sheng SUN ; Zhi-chuan YE ; Huai LI
Progress in Modern Biomedicine 2025;25(13):2201-2207
Objective:To construct a Logistic regression model based on the energy spectral computed tomography(CT)parameters and clinical parameters characteristics,and to evaluate its diagnostic efficacy in the benign and malignant pulmonary ground glass nodules(GGN).Methods:162 GGN patients who were admitted to our hospital from April 2022 to March 2024 were selected,they were divided into benign group and malignant group according to pathological results.The difference of CT parameters[water content in normal scan period,water content in arterial period,slope of energy spectral curve in normal scan period and k value in arterial period]and clinical data between the two groups was compared.Multivariate Logistic regression model was used to analyze the independent influencing factors of malignant GGN.Receiver operating characteristic(ROC)curve was used to evaluate the diagnostic efficacy of the model for malignant GGN.Results:Water content in normal scan period in malignant group was significantly higher than that in benign group(P<0.05).k value in normal scan period in the malignant group was significantly higher than that in the benign group(P<0.05).Water content in arterial period in malignant group was higher than that in benign group(P<0.05).k value in arterial period in the malignant group was higher than in benign group(P<0.05).There were significant differences in smoking history,family history of tumor and chronic obstructive pulmonary disease(COPD)between benign group and malignant group(P<0.05).Multivariate Logistic regression model analysis showed that,water content in normal scan period,k value in normal scan period,k value in arterial period,water content in arterial period,smoking history and family history of tumor were independent influencing factors of malignant nodule in GGN patients(P<0.05).Based on the results of multi-factor Logistic regression analysis,the Logistic regression prediction model was constructed:logit(P)=ln(P/l-P)=0.015× water content in arterial period+1.214× smoking history+1.506× family history of tumor+0.013× water content in normal scan period 0.553× k value in normal scan period+0.202 × k value in arterial period.ROC curve results showed that the area under the curve(AUC)of the combined prediction model was 0.852,which was significantly higher than 0.654,0.607,0.628,0.759,0.707,0.682 of water content in normal scan period,k value in normal scan period,k value in arterial period,water content in arterial period,smoking history and family history of tumor.Conclusion:The Logistic regression model constructed based on the characteristics of energy spectral CT parameters and clinical parameters characteristics has good diagnostic efficacy for benign and malignant GGN.
7.Explore the Application of Logistic Regression Model Based on Energy Spectral CT Parameters and Clinical Parameters Characteristics in the Diagnosis of Benign and Malignant Pulmonary Ground Glass Nodules
Fei MA ; Qing-sheng SUN ; Zhi-chuan YE ; Huai LI
Progress in Modern Biomedicine 2025;25(13):2201-2207
Objective:To construct a Logistic regression model based on the energy spectral computed tomography(CT)parameters and clinical parameters characteristics,and to evaluate its diagnostic efficacy in the benign and malignant pulmonary ground glass nodules(GGN).Methods:162 GGN patients who were admitted to our hospital from April 2022 to March 2024 were selected,they were divided into benign group and malignant group according to pathological results.The difference of CT parameters[water content in normal scan period,water content in arterial period,slope of energy spectral curve in normal scan period and k value in arterial period]and clinical data between the two groups was compared.Multivariate Logistic regression model was used to analyze the independent influencing factors of malignant GGN.Receiver operating characteristic(ROC)curve was used to evaluate the diagnostic efficacy of the model for malignant GGN.Results:Water content in normal scan period in malignant group was significantly higher than that in benign group(P<0.05).k value in normal scan period in the malignant group was significantly higher than that in the benign group(P<0.05).Water content in arterial period in malignant group was higher than that in benign group(P<0.05).k value in arterial period in the malignant group was higher than in benign group(P<0.05).There were significant differences in smoking history,family history of tumor and chronic obstructive pulmonary disease(COPD)between benign group and malignant group(P<0.05).Multivariate Logistic regression model analysis showed that,water content in normal scan period,k value in normal scan period,k value in arterial period,water content in arterial period,smoking history and family history of tumor were independent influencing factors of malignant nodule in GGN patients(P<0.05).Based on the results of multi-factor Logistic regression analysis,the Logistic regression prediction model was constructed:logit(P)=ln(P/l-P)=0.015× water content in arterial period+1.214× smoking history+1.506× family history of tumor+0.013× water content in normal scan period 0.553× k value in normal scan period+0.202 × k value in arterial period.ROC curve results showed that the area under the curve(AUC)of the combined prediction model was 0.852,which was significantly higher than 0.654,0.607,0.628,0.759,0.707,0.682 of water content in normal scan period,k value in normal scan period,k value in arterial period,water content in arterial period,smoking history and family history of tumor.Conclusion:The Logistic regression model constructed based on the characteristics of energy spectral CT parameters and clinical parameters characteristics has good diagnostic efficacy for benign and malignant GGN.
8.Direct economic burden of surgical site infection in orthopaedic trauma pa-tients based on DRG payment management
Yin-Zhi CHEN ; Hui-Xu MA ; Ming-Chuan ZHOU ; He-Mei YE ; Yan CHENG ; Si-Yun LIU
Chinese Journal of Infection Control 2024;23(7):868-873
Objective To evaluate the direct economic burden caused by surgical site infection(SSI)in patients with orthopaedic trauma under the payment management of disease diagnosis-related groups(DRG).Methods Clinical data of patients with orthopaedic trauma in a tertiary first-class hospital from May 1,2022 to May 30,2023 were surveyed retrospectively.Patients were grouped based on whether SSI occurred.Differences in average length of hospital stay,average hospitalization expense,and other indicators between SSI patients and non-SSI patients in the same DRG subgroup were compared,and the direct economic burden caused by SSI was analyzed.Results A total of 435 patients who paid according to the DRG payment management were included in the study.Twenty-two pa-tients had SSI,with an SSI incidence of 5.06%.Both the average length of hospital stay and average hospitalization expense of patients in the SSI group were higher than those in the non-SSI group,with statistically significant differ-ences(P<0.05).The DRG subgroups of SSI patients were mainly four groups:IF45,IF15,IJ13,and ZC13.Among them,the average length of hospital stay of SSI patients in the IF45,IF15,and ZC13 groups increased sig-nificantly(P<0.05),and the average hospitalization expense of SSI patients in the IJ13 group increased significantly(P<0.05).Conclusion Under the DRG payment management,the direct economic burden of orthopaedic trauma patients with SSI increases significantly.It is necessary to periodically evaluate and identify high-risk DRG subgroup patients,so as to adopt precise infection control interventions and reduce SSI incidence.
9.Effects of Differential First-Line Antiretroviral Therapy (ART) Regimens on Mortality among HIV/AIDS Children in Southwest China: A 15-year Retrospective Cohort Study.
Qiu Li CHEN ; Yan Yan LIAO ; Shan Fang QIN ; Chun Yan LU ; Pei Jiang PAN ; Hai Long WANG ; Jun Jun JIANG ; Zhi Gang ZHENG ; Feng Xiang QIN ; Wen HONG ; Chuan Yi NING ; Li YE ; Hao LIANG
Biomedical and Environmental Sciences 2023;36(11):1079-1083
10.The beginnings and evolution of a pancreatic surgeon: a technical morphological analysis in first 5 years.
Han Lin YIN ; Ning PU ; Qiang Da CHEN ; Ji Cheng ZHANG ; Yao Lin XU ; Chen Ye SHI ; Min Zhi LYU ; Wen Hui LOU ; Wen Chuan WU
Chinese Journal of Surgery 2023;61(6):511-518
Objective: To explore the development of the pancreatic surgeon technique in a high-volume center. Methods: A total of 284 cases receiving pancreatic surgery by a single surgeon from June 2015 to December 2020 were retrospectively included in this study. The clinical characteristics and perioperative medical history were extracted from the medical record system of Zhongshan Hospital,Fudan University. Among these patients,there were 140 males and 144 females with an age (M (IQR)) of 61.0 (16.8) years(range: 15 to 85 years). The "back-to-back" pancreatic- jejunal anastomosis procedure was used to anastomose the end of the pancreas stump and the jejunal wall. Thirty days after discharge,the patients were followed by outpatient follow-up or telephone interviews. The difference between categorical variables was analyzed by the Chi-square test or the CMH chi-square test. The statistical differences for the quantitative data were analyzed using one-way analysis of variance or Kruskal-Wallis H test and further analyzed using the LSD test or the Nemenyi test,respectively. Results: Intraoperative blood loss in pancreaticoduodenectomy between 2015 and 2020 were 300,100(100),100(100),100(0),100(200) and 150 (200) ml,respectively. Intraoperative blood loss in distal pancreatectomy was 250 (375),100 (50),50 (65), 50 (80),50 (50),and 50 (100) ml,respectively. Intraoperative blood loss did not show statistical differences in the same operative procedure between each year. The operative time for pancreaticoduodenectomy was respectively 4.5,5.0(2.0),5.5(0.8),5.0(1.3),5.0(3.3) and 5.0(1.0) hours in each year from 2015 to 2020,no statistical differences were found between each group. The operating time of the distal pancreatectomy was 3.8 (0.9),3.0 (1.5),3.0 (1.8),2.0 (1.1),2.0 (1.5) and 3.0(2.0) hours in each year,the operating time was obviously shorter in 2018 compared to 2015 (P=0.026) and 2020 (P=0.041). The median hospital stay in 2020 for distal pancreatectomy was 3 days shorter than that in 2019. The overall incidence of postoperative pancreatic fistula gradually decreased,with a incident rate of 50.0%,36.8%,31.0%,25.9%,21.1% and 14.8% in each year. During this period,in a total of 3,6,4,2,0 and 20 cases received laparoscopic operations in each year. The incidence of clinically relevant pancreatic fistula (grade B and C) gradually decreased,the incident rates were 0,4.8%,7.1%,3.4%,4.3% and 1.4%,respectively. Two cases had postoperative abdominal bleeding and received unscheduled reoperation. The overall rate of unscheduled reoperation was 0.7%. A patient died within 30 days after the operation and the overall perioperative mortality was 0.4%. Conclusion: The surgical training of a high-volume center can ensure a high starting point in the initial stage and steady progress of pancreatic surgeons,to ensure the safety of pancreatic surgery.
Male
;
Female
;
Humans
;
Pancreatic Fistula/surgery*
;
Retrospective Studies
;
Blood Loss, Surgical
;
Pancreatectomy/methods*
;
Pancreaticoduodenectomy
;
Postoperative Complications
;
Surgeons
;
Postoperative Hemorrhage
;
Pancreatic Neoplasms/surgery*

Result Analysis
Print
Save
E-mail