1.Human resource efficiency and spatial distribution characterization of district-level center for disease control and prevention in city N of Jiangsu Province
Yang LI ; Yu-Meng WEI ; Yu-Qi YANG ; Wen-Jie XU ; Ming-Yao GU ; Zi-Fa HUANG ; Zhi-Hao ZHANG ; Fang WU
Chinese Journal of Health Policy 2024;17(10):52-58
Objective:To analyze the efficiency of human resource allocation and its spatial distribution characteristics of district-level Center for Disease Control and Prevention(CDC)in city N of Jiangsu Province in 2020,in order to provide a strong decision-making reference for optimizing and strengthening the CDC talent team.Methods:The efficiency of human resources of district-level CDC of City N in2020 was measured using the Super-Efficiency SBM model,and the spatial association pattern was analyzed using the natural break point classification method and Moran's index,with the visualization presented through LISA maps.Results:The overall level of human resource efficiency in district-level CDC of City N is relatively high.However,spatially,there are significant differences among the regions,showing a trend of high efficiency in the central areas and low efficiency at the ends.Moran's index and LISA maps indicate a negative spatial correlation in efficiency,with a low-high(L-H)cluster centered on Area L and a high-low(H-L)cluster centered on Area J.The high-high(H-H)cluster pattern has not yet formed,exhibiting a characteristic of interspersed high and low efficiency.Conclusions:There are regional differences in the human resource efficiency of the Disease Control Center in City N,and the spatial cluster pattern needs to be optimized.It is recommended to focus on efficiency improvement in Areas P and L,formulate appropriate policies,and promote coordinated regional development.
2.Ultra-fast-track anesthesia management for surgeries for acute type A aortic dissection
Yifan ZOU ; Qiyuan LIU ; Xu SUN ; Yi ZHOU ; Yun REN ; Hao YAO
Chinese Journal of Anesthesiology 2024;44(5):574-578
The clinical data from 16 patients who underwent surgery for acute type A aortic dissection under ultra-fast-track anesthesia (UFTA) in the Second Affiliated Hospital of Nanjing Medical University from August 2023 to December 2023 were collected, and the experience of anesthesia management was analyzed and summarized. UFTA strategy was to reduce inflammation and perform multi-organ protection in the perioperative period through cardiopulmonary bypass methods, medications, etc. According to the process of operation, the long-term and short-acting anesthetic drugs were accurately used to achieve the patient′s awakening immediately after the operation. Deep anesthesia extubation, remifentanil infusion techniques, and nasal high-flow ventilation were used to enable patients to be removed from the endotracheal tube with low stress under the premise of safety. All the patients successfully completed anesthesia induction and anesthesia maintenance. The average surgery duration was (413±92) min, the average anesthesia duration was (480±100) min, the cardiopulmonary bypass time was (168±42) min, the cardiac arrest time was (119±36) min, and the deep hypothermic circulatory arrest lasted (24±5) min. Of these patients, 14 underwent deep hypothermic circulatory arrest combined with unilateral cerebral perfusion via the right axillary artery, and 2 underwent deep hypothermic circulatory arrest combined with retrograde cerebral perfusion via the superior vena cava. All the patients had their tracheal tubes removed within 30 min postoperatively, with blood gas analysis and hemodynamics being within or close to normal ranges. The average postoperative intensive care unit stay time was 6 (3, 11) days, and the total length of hospital stay was (23±8) days. The total hospitalization time extended 20 days in 7 patients due to postoperative complications. All the patients recovered and were discharged. In conclusion, the application of UFTA strategy is safe and feasible in the patients with acute type A aortic dissection, allowing for immediate extubation in the operating room.
3.Application of China-made Toumai? Robot in laparoscopic radical prostatectomy
Zhi-Feng WEI ; Yu-Hao CHEN ; Ze-Peng ZHU ; Qi JIANG ; Yu XIONG ; Feng-Feng LU ; Zhen-Qian SONG ; Bin JIANG ; Xiao-Feng ZHU ; Tian-Hao FENG ; Xiao-Feng XU ; Gang YANG ; Wu WEI ; Ai-Bing YAO ; Jing-Ping GE
National Journal of Andrology 2024;30(8):696-700
Objective:To evaluate the safety and efficiency of China-made Toumai Robot-assisted laparoscopic radical prosta-tectomy(LRP).Methods:This study included 40 cases of PCa treated from January 2023 to May 2023 by robot-assisted LRP with preservation of the bladder neck and maximal functional urethral length,15 cases with the assistance of Toumai Robot(the TMR group)and the other 25 with the assistance of da Vinci Robot as controls(the DVR group).We recorded the docking time,laparo-scopic surgery time,vesico-urethral anastomosis time,intraoperative blood loss and postoperative urinary continence,and compared them between the two groups.Results:Operations were successfully completed in all the cases.No statistically significant differ-ences were observed between the TMR and DVR groups in the docking time(6 min vs 5 min,P>0.05)or intraoperative blood loss(200 ml vs 150 ml,P>0.05).The TMR group,compared with the DVR group,showed a significantly longer median laparoscopic surgery time(146 min vs 130 min,P<0.05)and median vesico-urethral anastomosis time(19 min vs 16 min,P<0.05).There were no statistically significant differences between the TMR and DVR groups in the rates of urinary continence recovery immediately af-ter surgery(60.0%[9/15]vs 64.0%[16/25],P>0.05)or at 1 month(80.0%[12/15])vs(76.0%[19/25],P>0.05),3 months(93.3%[14/15])vs(92.0%[23/25],P>0.05)and 6 months postoperatively(100%[15/15])vs(96%[24/25],P>0.05).Conclusion:China-made Toumai? Robot surgical system is safe and reliable for laparoscopic radical prosta-tectomy,with satisfactory postoperative recovery of urinary continence.
4.Design,numerical simulation and experimental study of novel oxygenator
Ming-Hao YUE ; Shi-Yao ZHANG ; Ji-Nian LI ; Hui-Chao LIU ; Zi-Hua SU ; Ya-Wei WANG ; Zeng-Sheng CHEN ; Shi-Hang LIN ; Jin-Yu LI ; Ya-Ke CHENG ; Yong-Fei HU ; Cun-Ding JIA ; Ming-Zhou XU
Chinese Medical Equipment Journal 2024;45(3):23-28
Objective To design a novel oxygenator to solve the existing problems of extracorporeal membrane oxygenation(ECMO)machine in high transmembrane pressure difference,low efficiency of blood oxygen exchange and susceptibility to thrombosis.Methods The main body of the oxygenator vascular access flow field was gifted with a flat cylindrical shape.The topology of the vascular access was modeled in three dimensions,and the whole flow field was cut into a blood inlet section,an inlet buffer,a heat exchange zone,a blood oxygen exchange zone,an outlet buffer and a blood outlet section.The oxygenator was compared with Quadrox oxygenator by means of ANSYS FLUENT-based simulation and prototype experiments.Results Simulation calculations showed the oxygenator designed was comparable to the clinically used ones in general,and gained advantages in transmembrane pressure difference,blood oxygen exchange and flow uniformity.Experimental results indicated that the oxygenator behaved better than Quadrox oxygenator in transmembrane pressure difference and blood oxygen exchange.Conclusion The oxygenator has advantages in transmem-brane pressure difference,temperature change,blood oxygen ex-change and low probability of thrombosis.[Chinese Medical Equipment Journal,2024,45(3):23-28]
5.Research on glioma grading prediction based on habitat imaging using multimodal magnetic resonance imaging
Tianci LIU ; Yao ZHENG ; Huan XU ; Yutao HE ; Yuefei FENG ; Xiaoshuo HAO ; Yang LIU
China Medical Equipment 2024;21(10):1-5,35
Objective:To develop a machine learning algorithm based on habitat imaging(HI),which can be used in the grading of gliomas by using multimodal magnetic resonance imaging(MRI),so as to construct the model of support vector machine(SVM)and the visualized heterogeneous regions of gliomas.Methods:A total of 335 glioma patients were collected from the 2019 brain tumor segmentation(BraTS)challenge competition of World Health Organization(WHO),which included 259 cases with high-grade gliomas(HGG)and 76 cases with low-grade gliomas(LGG).Subregions were divided based on HI technology.The PyRadiomics open-source package was used to extract the image features of region of interest(ROI),and to screen the features that stronger correlated with the high and low-grade gliomas.An SVM model was used to classify and predict the screened feature data.The heterogeneity of gliomas in images was analyzed through visualized characterization.The efficacy of glioma grading was assessed by using the area under curve(AUC)of the receiver operating characteristic(ROC)curve.Results:The AUC of test set exceeded 90%.The average accuracy of the performance indicators of test set was(92.74±2.88)%,and the average sensitivity was(93.90±2.10)%,and the average specificity was(90.36±4.59)%,and the average F1 score was(95.24±0.66)%when the tumors were divided into six habitat regions.The SVM model could showed important sub-regions in glioma grading in three-dimensional space.Conclusion:The study method based on HI has significant advantages in glioma grading,which can effectively realize visualized heterogeneity of tumor and construct model of the heterogeneity of tumor.
6.Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients (version 2024)
Yao LU ; Yang LI ; Leiying ZHANG ; Hao TANG ; Huidan JING ; Yaoli WANG ; Xiangzhi JIA ; Li BA ; Maohong BIAN ; Dan CAI ; Hui CAI ; Xiaohong CAI ; Zhanshan ZHA ; Bingyu CHEN ; Daqing CHEN ; Feng CHEN ; Guoan CHEN ; Haiming CHEN ; Jing CHEN ; Min CHEN ; Qing CHEN ; Shu CHEN ; Xi CHEN ; Jinfeng CHENG ; Xiaoling CHU ; Hongwang CUI ; Xin CUI ; Zhen DA ; Ying DAI ; Surong DENG ; Weiqun DONG ; Weimin FAN ; Ke FENG ; Danhui FU ; Yongshui FU ; Qi FU ; Xuemei FU ; Jia GAN ; Xinyu GAN ; Wei GAO ; Huaizheng GONG ; Rong GUI ; Geng GUO ; Ning HAN ; Yiwen HAO ; Wubing HE ; Qiang HONG ; Ruiqin HOU ; Wei HOU ; Jie HU ; Peiyang HU ; Xi HU ; Xiaoyu HU ; Guangbin HUANG ; Jie HUANG ; Xiangyan HUANG ; Yuanshuai HUANG ; Shouyong HUN ; Xuebing JIANG ; Ping JIN ; Dong LAI ; Aiping LE ; Hongmei LI ; Bijuan LI ; Cuiying LI ; Daihong LI ; Haihong LI ; He LI ; Hui LI ; Jianping LI ; Ning LI ; Xiying LI ; Xiangmin LI ; Xiaofei LI ; Xiaojuan LI ; Zhiqiang LI ; Zhongjun LI ; Zunyan LI ; Huaqin LIANG ; Xiaohua LIANG ; Dongfa LIAO ; Qun LIAO ; Yan LIAO ; Jiajin LIN ; Chunxia LIU ; Fenghua LIU ; Peixian LIU ; Tiemei LIU ; Xiaoxin LIU ; Zhiwei LIU ; Zhongdi LIU ; Hua LU ; Jianfeng LUAN ; Jianjun LUO ; Qun LUO ; Dingfeng LYU ; Qi LYU ; Xianping LYU ; Aijun MA ; Liqiang MA ; Shuxuan MA ; Xainjun MA ; Xiaogang MA ; Xiaoli MA ; Guoqing MAO ; Shijie MU ; Shaolin NIE ; Shujuan OUYANG ; Xilin OUYANG ; Chunqiu PAN ; Jian PAN ; Xiaohua PAN ; Lei PENG ; Tao PENG ; Baohua QIAN ; Shu QIAO ; Li QIN ; Ying REN ; Zhaoqi REN ; Ruiming RONG ; Changshan SU ; Mingwei SUN ; Wenwu SUN ; Zhenwei SUN ; Haiping TANG ; Xiaofeng TANG ; Changjiu TANG ; Cuihua TAO ; Zhibin TIAN ; Juan WANG ; Baoyan WANG ; Chunyan WANG ; Gefei WANG ; Haiyan WANG ; Hongjie WANG ; Peng WANG ; Pengli WANG ; Qiushi WANG ; Xiaoning WANG ; Xinhua WANG ; Xuefeng WANG ; Yong WANG ; Yongjun WANG ; Yuanjie WANG ; Zhihua WANG ; Shaojun WEI ; Yaming WEI ; Jianbo WEN ; Jun WEN ; Jiang WU ; Jufeng WU ; Aijun XIA ; Fei XIA ; Rong XIA ; Jue XIE ; Yanchao XING ; Yan XIONG ; Feng XU ; Yongzhu XU ; Yongan XU ; Yonghe YAN ; Beizhan YAN ; Jiang YANG ; Jiangcun YANG ; Jun YANG ; Xinwen YANG ; Yongyi YANG ; Chunyan YAO ; Mingliang YE ; Changlin YIN ; Ming YIN ; Wen YIN ; Lianling YU ; Shuhong YU ; Zebo YU ; Yigang YU ; Anyong YU ; Hong YUAN ; Yi YUAN ; Chan ZHANG ; Jinjun ZHANG ; Jun ZHANG ; Kai ZHANG ; Leibing ZHANG ; Quan ZHANG ; Rongjiang ZHANG ; Sanming ZHANG ; Shengji ZHANG ; Shuo ZHANG ; Wei ZHANG ; Weidong ZHANG ; Xi ZHANG ; Xingwen ZHANG ; Guixi ZHANG ; Xiaojun ZHANG ; Guoqing ZHAO ; Jianpeng ZHAO ; Shuming ZHAO ; Beibei ZHENG ; Shangen ZHENG ; Huayou ZHOU ; Jicheng ZHOU ; Lihong ZHOU ; Mou ZHOU ; Xiaoyu ZHOU ; Xuelian ZHOU ; Yuan ZHOU ; Zheng ZHOU ; Zuhuang ZHOU ; Haiyan ZHU ; Peiyuan ZHU ; Changju ZHU ; Lili ZHU ; Zhengguo WANG ; Jianxin JIANG ; Deqing WANG ; Jiongcai LAN ; Quanli WANG ; Yang YU ; Lianyang ZHANG ; Aiqing WEN
Chinese Journal of Trauma 2024;40(10):865-881
Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.
7.Exploration of potential active ingredients and mechanism of action of Xihuang pill-medicated serum against glioma based on HPLC-Q-TOF-MS/MS, network pharmacology and experimental verification
Jing PAN ; Qi-hai ZHANG ; Hao-wen FAN ; Xia WANG ; Wei-feng YAO ; Hong-bin XU
Acta Pharmaceutica Sinica 2024;59(3):693-703
Qualitative analysis of the ingredients absorbed into blood and their metabolites of Xihuang pill (XHP) were conducted using high-performance liquid chromatography quadrupole time-of-flight mass spectrometry (HPLC-Q-TOF-MS/MS) technology. Network pharmacology was used to explore the potential anticancer mechanisms of the ingredients against glioma, and their specific mechanisms were validated through molecular docking and experimental verification. SD rats were intragastrically administered with XHP, and rat serum samples were collected. Ingredients absorbed into blood and their metabolites were identified based on the retention time of chromatographic peaks, accurate molecular mass, characteristic fragment ions, and comparisons with reference substances and literature data. PharmMapper and SwissTarget Prediction databases were used to obtain the targets of the XHP-medicated serum, while GeneCards, OMIM, PharmGKB, TTD, and DrugBank databases were used to obtain glioma disease targets. The "component-target" network relationship diagram was constructed using Cytoscape 3.9.1 software. The protein-protein interaction (PPI) network diagram was constructed using the STRING database, and the targets were analyzed using GO and KEGG analyses. Molecular docking was used to verify the binding ability of core targets with their corresponding compounds in XHP-medicated serum. The potential mechanism of the anti-glioma effect of 11-keto-
8.Cross lagged model analysis of the relationship between physical exercise, academic performance, and aggressive behavior in junior high school students
XU Jiuyang, ZHU Yao, ZHU Hao, CHEN Weiguo, LIU Yi, ZHU Fengshu
Chinese Journal of School Health 2024;45(8):1091-1095
Objective:
To investigate the causal relationship between junior high school students aggressive behavior, physical exercise and academic performance, so as to provide a reference basis for the development of scientific exercise programs.
Methods:
A longitudinal followup study was conducted on 502 junior high school students over a 12month period from June 2021 to June 2022 using the Buss-Perry Aggressive Questionnaire (BPAQ), Physical Activity Questionnaire for Adolescents (PAQ-A), and test scores as the measurement tools (T1:June 2021, T2:December 2021, T3:June 2022), and a crosslagged model was constructed to measure the relationship between aggression, physical activity and academic performance.
Results:
At T1, physical exercise had a positive effect on academic performance at T2 (β=0.22) and a negative effect on aggressive behavior at T2 (β=-0.13), aggressive behavior negatively affected academic performance at T2 (β=-0.23), and academic performance had a negative effect on aggressive behavior at T2 (β=-0.09). Physical exercise at T2 had a negative effect on aggressive behavior at T3 (β=-0.05) and a positive effect on academic performance at T3 (β=0.19). Aggressive behavior at T2 negatively influenced academic performance at T3 (β=-0.08). Academic performance at T2 negatively influenced aggressive behavior at T3 (β=-0.06) (P<0.05). The results of crosslagged modeling of junior high school students aggressive behavior, physical exercise and academic performance showed that the model was well fitted (χ2/df=8.80, CFI=0.96, NFI=0.95, RFI=0.87, IFI=0.96, TLI=0.88, RMSEA=0.12). The results of multigroup structural equation modeling showed that the differences between the models and the baseline model (CFI=0.95, TLI=0.86, RMSEA=0.10, 90%CI=0.08-0.11, P<0.01) were not statistically significant in terms of gender (△CFI<0.05, P>0.05).
Conclusions
Physical exercise negatively predictes aggressive behavior and positively predictes academic performance, and academic performance and aggressive behavior negatively affect each other. A scientific exercise program should be developed to reduce aggression and effectively improve adolescents academic performance.
9.Metabolomic Analysis of Mesenteric Lymph Fluid in Rats After Alcohol Gavage
Yuan ZHANG ; Zi-Ye MENG ; Wen-Bo LI ; Yu-Meng JING ; Gui-Chen LIU ; Zi-Yao HAO ; Xiu XU ; Zhen-Ao ZHAO
Progress in Biochemistry and Biophysics 2024;51(9):2194-2209
ObjectiveThe absorption of substances into blood is mainly dependent on the mesenteric lymphatic pathway and the portal venous pathway. The substances transported via the portal venous pathway can be metabolized by the biotransformation in the liver. On the contrary, the substances in the mesenteric lymph fluid enter the blood circulation without biotransformation and can affect the body directly. Alcohol consumption is strongly linked to global health risk. Previous reports have analyzed the changes of metabolites in plasma, serum, urine, liver and feces after alcohol consumption. Whether alcohol consumption affects the metabolites in lymph fluid is still unknown. Therefore, it is particularly important to explore the changes of substances transported via the mesenteric lymphatic pathway and analyze their harmfulness after alcohol drinking. MethodsIn this study, male Wistar rats were divided into high, medium, and low-dosage alcohol groups (receiving Chinese Baijiu at 56%, 28% and 5.6% ABV, respectively) and water groups. The experiment was conducted by alcohol gavage lasting 10 d, 10 ml·kg-1·d-1. Then mesenteric lymph fluid was collected for non-targeted metabolomic analysis by using liquid chromatography-mass spectrometry (LC-MS) and bioinformatic analysis. Principal component analysis and hierarchical clustering were performed by using Biodeep. Meanwhile, KEGG enrichment analysis of the differential metabolites was also performed by Biodeep. MetaboAnalyst was used to analyze the relationship between the differential metabolites and diseases. ResultsThe metabolites in the mesenteric lymph fluid of the high-dosage alcohol group change the most. Based on the KEGG enrichment analysis, the pathways of differential metabolites between the high-dosage alcohol group and the control group are mainly enriched in the central carbon metabolism in cancer, bile secretion, linoleic acid metabolism, biosynthesis of unsaturated fatty acids, etc. Interestingly, in the biosynthesis of unsaturated fatty acids category, the content of arachidonic acid is increased by 7.25 times, whereas the contents of palmitic acid, oleic acid, stearic acid, arachidic acid and erucic acid all decrease, indicating lipid substances in lymph fluid are absorbed selectively after alcohol intake. It’s worth noting that arachidonic acid is closely related to inflammatory response. Furthermore, the differential metabolites are mainly related with schizophrenia, Alzheimer’s disease and lung cancer. The differential metabolites between the medium-dosage alcohol and the control group were mainly enriched in phenylalanine metabolism, valine, leucine and isoleucine biosynthesis, linoleic acid metabolism and cholesterol metabolism. The differential metabolites are mainly related to schizophrenia, Alzheimer’s disease, lung cancer and Parkinson’s disease. As the dose of alcohol increases, the contents of some metabolites in lymph fluid increase, including cholesterol, L-leucine, fumaric acid and mannitol, and the number of metabolites related to schizophrenia also tends to increase, indicatingthat some metabolites absorbed by the intestine-lymphatic pathway are dose-dependent on alcohol intake. ConclusionAfter alcohol intake, the metabolites transported via the intestinal-lymphatic pathway are significantly changed, especially in the high-dosage group. Some metabolites absorbed via the intestinal-lymphatic pathway are dose-dependent on alcohol intake. Most importantly, alcohol intake may cause inflammatory response and the occurrence of neurological diseases, psychiatric diseases and cancer diseases. High-dosage drinking may aggravate or accelerate the occurrence of related diseases. These results provide new insights into the pathogenesis of alcohol-related diseases based on the intestinal-lymphatic pathway.
10.Association of Cytokines with Clinical Indicators in Patients with Drug-Induced Liver Injury
Hua Wei CAO ; Ting Ting JIANG ; Ge SHEN ; Wen DENG ; Yu Shi WANG ; Yu Zi ZHANG ; Xin Xin LI ; Yao LU ; Lu ZHANG ; Yu Ru LIU ; Min CHANG ; Ling Shu WU ; Jiao Yuan GAO ; Xiao Hong HAO ; Xue Xiao CHEN ; Ping Lei HU ; Jiao Meng XU ; Wei YI ; Yao XIE ; Hui Ming LI
Biomedical and Environmental Sciences 2024;37(5):494-502
Objective To explore characteristics of clinical parameters and cytokines in patients with drug-induced liver injury(DILI)caused by different drugs and their correlation with clinical indicators. Method The study was conducted on patients who were up to Review of Uncertainties in Confidence Assessment for Medical Tests(RUCAM)scoring criteria and clinically diagnosed with DILI.Based on Chinese herbal medicine,cardiovascular drugs,non-steroidal anti-inflammatory drugs(NSAIDs),anti-infective drugs,and other drugs,patients were divided into five groups.Cytokines were measured by Luminex technology.Baseline characteristics of clinical biochemical indicators and cytokines in DILI patients and their correlation were analyzed. Results 73 patients were enrolled.Age among five groups was statistically different(P=0.032).Alanine aminotransferase(ALT)(P=0.033)and aspartate aminotransferase(AST)(P=0.007)in NSAIDs group were higher than those in chinese herbal medicine group.Interleukin-6(IL-6)and tumor necrosis factor alpha(TNF-α)in patients with Chinese herbal medicine(IL-6:P<0.001;TNF-α:P<0.001)and cardiovascular medicine(IL-6:P=0.020;TNF-α:P=0.001)were lower than those in NSAIDs group.There was a positive correlation between ALT(r=0.697,P=0.025),AST(r=0.721,P=0.019),and IL-6 in NSAIDs group. Conclusion Older age may be more prone to DILI.Patients with NSAIDs have more severe liver damage in early stages of DILI,TNF-α and IL-6 may partake the inflammatory process of DILI.


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