ObjectiveTo investigate the influencing factors for the clinical outcome of patients with drug-induced liver injury （DILI）， and to establish a nomogram prediction model for validation. MethodsA retrospective analysis was performed for the general information and laboratory data of 188 patients with DILI who were admitted to Heilongjiang Provincial Hospital Affiliated to Harbin Institute of Technology from January 2017 to December 2022， and according to their clinical outcome， they were divided into good outcome group with 146 patients and poor outcome group with 42 patients. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test was used for comparison of categorical data between two groups. Univariate and multivariate Logistic regression analyses were used to investigate the independent influencing factors for the clinical outcome of DILI patients. R Studio 4.1.2 software was used to establish a nomogram model， and calibration curve， receiver operating characteristic （ROC） curve， and decision curve analysis （DCA） were used to perform internal validation. ResultsThe univariate Logistic regression analysis showed that liver biopsy for the diagnosis of DILI， platelet count， cholinesterase， albumin， prothrombin time activity， IgM， and IgG were associated with adverse outcomes in patients with DILI. The multivariate Logistic regression analysis showed that liver biopsy for the diagnosis of DILI （odds ratio ［OR］=0.072， 95% confidence interval ［CI］： 0.022‍ ‍—‍ ‍0.213， P<0.001）， clinical classification （OR=0.463， 95%CI： 0.213‍ ‍—‍ ‍0.926， P=0.039）， alanine aminotransferase （OR=0.999， 95%CI： 0.998‍ ‍—‍ ‍1.000， P=0.025）， prothrombin time activity （OR=0.973， 95%CI： 0.952‍ ‍—‍ ‍0.993， P=0.011）， and IgM （OR=1.456， 95%CI： 1.082‍ ‍—‍ ‍2.021， P=0.015） were independent influencing factors for clinical outcome in patients with DILI. The nomogram prediction model was established， and after validation， the calibration curve was close to the reference curve. The area under the ROC curve was 0.829， and the DCA curve showed that the model had good net clinical benefit. ConclusionThe nomogram prediction model established in this study has good clinical calibration， discriminative ability， and application value in evaluating the clinical outcome of patients with DILI.

The complex chemical composition and limited research ideas of traditional Chinese medicine （TCM） have led to the unclear material basis and mechanism of the medicinal effects， which is a common problem hindering the modernization of TCM in China. The introduction of computer virtual technology has provided a new perspective for TCM research. In this study， we established the research method of structure-activity omics to study the relationships between the structures and effects of different compounds in TCM based on the chemical structures of TCM components and to analyze and predict the material basis and multitarget synergistic mechanism of TCM. Furthermore， a structure-activity omics study was carried out with the anti-inflammatory and analgesic effects of Qizhi Weitong granules as an example. This study provides support for screening the pharmacodynamic components and analyzing the active ingredients of TCM and gives insights into the research on the material basis and mechanism of compound efficacy and the development of lead compounds of TCM， thus promoting the modern research and the innovative development of TCM.

ObjectiveTo explain the anti-inflammatory and analgesic effects of Corydalis Rhizoma by the means of structure-activity omics. MethodOn the basis of the previous in vitro screening study， we studied the in vivo efficacy of the alkaloids in Corydalis Rhizoma. With the targets as a bridge， the structures of chemical components in Corydalis Rhizoma were connected with the efficacy. The molecular docking of the alkaloids in Corydalis Rhizoma with the targets of inflammation and pain was carried out. According to the docking scores and the differences in the structural nucleus of Corydalis Rhizoma alkaloids， a study of structure-activity omics was carried out to summarize the rules of their connection. ResultThe alkaloids in Corydalis Rhizoma had good anti-inflammatory and analgesic effects in vivo， involving 53 chemical components and 73 targets. There were 3 074 targets associated with inflammation and pain， and 42 targets of direct action were shared by the chemical components and the disease. The protein-protein interaction （PPI） and molecular docking analysis predicted that the main active components of Corydalis Rhizoma were tetrahydropalmatine and palmatine， and the core targets were prostaglandin endoperoxide synthase 2 （PTGS2）， glutamate receptor metabotropic 5 （GRM5）， estrogen receptor 1 （ESR1）， solute carrier family 6 member 4 （SLC6A4）， and fusion oncoproteins （FOS）. According to the differences of mother nucleus， the 53 alkaloid components of Corydalis Rhizoma were classified into 8 categories， including protoberberine， berberine， and aporphine， which had high binding affinities with PTGS2， GRM5 and other targets. The relationship between the structures of Corydalis Rhizoma alkaloids and docking scores in each group showed the same law. In protoberberine， appropriate substituents with hydroxyl， alkoxy or methyl groups on the A and D rings of the parent ring were conducive to enhancing the binding activities with the two targets. In berberine， the structure containing a methyl group on position 13 had strong binding affinities with the two targets. It is hypothesized that the methyl fragment changes the binding mode between the component structure and amino acid residues， which greatly improves the binding affinity. ConclusionThis study employs the method of structure-activity omics to analyze the material basis for the anti-inflammatory and analgesic effects of alkaloids in Corydalis Rhizoma， and the structure-activity omics provides new ideas for revealing the pharmacodynamic substances of traditional Chinese medicine.

ObjectiveTo identify the pharmacodynamic substances for the anti-inflammatory and analgesic effects of Bupleuri Radix by structure-activity omics. MethodA mouse model of pain was established with formaldehyde to examine the anti-inflammatory and analgesic effects of saikosaponins in vivo. The core targets of the active components in Bupleurum Radix for the anti-inflammatory and analgesic effects were screened from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP）， Online Mendelian Inheritance in Man （OMIM）， and Search Tool for Recurring Instances of Neighbouring Genes （STRING）. The key core targets with high binding affinity were screened based on the comprehensive score in the molecular docking between different types of saikosaponins and core targets. The structure-activity relationship was discussed and analyzed based on the binding of compounds to pharmacodynamic targets. ResultSaikosaponins alleviated the foot swelling induced by formaldehyde and reduced the content of prostaglandin E₂ （PGE₂） in the mouse model， showcasing a significant inhibitory effect on the inflammatory pain caused by PGE₂. Nine components and 39 targets of saikosaponins， as well as 3 074 targets of anti-inflammatory and analgesic effects were screened out， and 22 common targets shared by saikosaponins and the effects were obtained as the direct targets. The protein-protein interaction （PPI） analysis showed that the main active components of Bupleurum Radix were saikosaponins a， b₁， b₂， b₃， c， d， e， f， and v， and the key targets were fms-related receptor tyrosine kinase 1 （FLT1）， kinase insert domain receptor （KDR）， fibroblast growth factor 2 （FGF2）， vascular endothelial growth factor A （VEGFA）， and signal transducer and activator of transcription 3 （STAT3）. Molecular docking between saikosaponins and the top 5 targets with high degrees in PPI network analysis revealed 25 highly active docks， including 6 docks with scores of 5-6 and 18 docks with scores above 6. ConclusionThis study adopted structural-activity omics to analyze the material basis for the anti-inflammatory and analgesic effects of Bupleuri Radix in vivo， providing new ideas and methods for identifying the pharmacodynamic substances in traditional Chinese medicine.

Objective To study the clinical characteristics of children with anti-neutrophil cytoplasmic antibody(ANCA)-associated vasculitis(AAV).Methods A retrospective analysis was conducted on the clinical data of 25 children diagnosed with AAV at the Second Xiangya Hospital of Central South University from January 2010 to June 2022.Results Among the AAV children,there were 5 males and 20 females,with a median age of onset of 11.0 years.Involvement of the urinary system was seen in 18 cases(72%);respiratory system involvement in 10 cases(40%);skin involvement in 6 cases(24%);eye,ear,and nose involvement in 5 cases(20%);joint involvement in 4 cases(16%);digestive system involvement in 2 cases(8%).Eleven cases underwent kidney biopsy,with 5 cases(46%)showing focal type,2 cases(18%)showing crescentic type,2 cases(18%)showing mixed type,and 2 cases(18%)showing sclerotic type.Immune complex deposits were present in 5 cases(45%).Seven cases reached chronic kidney disease(CKD)stage Ⅴ,with 2 cases resulting in death.Two cases underwent kidney transplantation.At the end of the follow-up period,2 cases were at CKD stage Ⅱ,and 1 case was at CKD stage Ⅲ.Of the 16 cases of microscopic polyangiitis(MPA)group,13(81%)involved the urinary system.Of the 9 cases of granulomatosis with polyangiitis(GPA),6 cases(66%)had sinusitis.Serum creatinine and uric acid levels were higher in the MPA group than in the GPA group(P<0.05),while red blood cell count and glomerular filtration rate were lower in the MPA group(P<0.05).Conclusions AAV is more common in school-age female children,with MPA being the most common clinical subtype.The onset of AAV in children is mainly characterized by renal involvement,followed by respiratory system involvement.The renal pathology often presents as focal type with possible immune complex deposits.Children with MPA often have renal involvement,while those with GPA commonly have sinusitis.The prognosis of children with AAV is poor,often accompanied by renal insufficiency.

Objective To study the correlation of anti-C1q antibodies with active systemic lupus erythematosus(SLE)and lupus nephritis(LN)in children,as well as their diagnostic value for active SLE and LN.Methods A retrospective selection of 90 hospitalized children with SLE at the Children's Medical Center of Second Xiangya Hospital,Central South University from January 2016 to March 2019 as the SLE group,all of whom were tested for anti-C1q antibodies.A control group was formed by collecting 70 hospitalized children with other autoimmune diseases(OAD)during the same period.The differences in anti-C1q antibody levels were compared between two groups.The correlation of anti-C1q antibodies with various indicators of SLE and LN was analyzed,and the diagnostic value of anti-C1q in SLE and LN was evaluated.Results The serum levels of anti-C1q antibodies in the SLE group were higher than those in the OAD group(P<0.05).The SLE disease activity index score was positively correlated with anti-C1q antibodies(rs=0.371,P<0.001)and positively correlated with anti-double-stranded DNA antibodies(rs=0.370,P<0.001).The sensitivity and specificity of anti-C1q antibodies for diagnosing active SLE were 89.90%and 53.90%,respectively,with an area under the curve of 0.720(P<0.05)and a critical value of 5.45 U/mL.The sensitivity and specificity of anti-C1q antibody levels for diagnosing active LN were 58.50%and 85.00%,respectively,with an area under the curve of 0.675(P<0.05)and a critical value of 22.05 U/mL.Conclusions Anti-C1q antibodies can serve as non-invasive biomarkers for evaluating the activity of SLE or predicting the activity of LN in children.

Objective To observe the alteration of thoracic and lumbar physiological curvature in adolescent idiopathic scoliosis(AIS)and the difference of physiological curvature between different types of scoliosis.Methods A retrospective analysis was conducted on 305 adolescent patients taken full spine X-ray in our hospital from January 2017 to December 2021.The patients were divided into normal group and scoliosis group.The normal group was composed of 179 patients,79 males and 100 females,aged 10 to 18 years old with an average of(12.84±2.10)years old,with cobb agle less than 10 degrees.The scol-iosis group was composed of 126 patients,33 males and 93 females,aged 10 to 18 years old with an average of(13.92±2.20)years old.The gender,age,Risser sign,thoracic kyphosis(TK)and lumbar lordosis(LL)in 2 groups were compared,and the TK and LL were also compared between different genders,different degrees of scoliosis and different segments of scoliosis.Re-sults The female ratio(P=0.001)and age(P＜0.001)in scoliosis group were higher than them in normal group;the ratio of low-grade ossification was higher in normal group than in scoliosis group(P=0.038).TK was significantly smaller in scoliosis group than in normal group(P＜0.001),but there was no significant difference in LL between the 2 groups(P=0.147).There were no significant difference in TK and LL between male and female.The TK was significantly bigger in mild AIS patients than in moderate AIS patients(P＜0.05),but there was no significant difference in LL between mild and moderate patients(P＞0.05).The TK and LL in different segments scoliosis were not found significant difference.Conclusion The physiological curvature of thoracic and lumbar spine is independent of gender.The thoracic physiological curvature becomes smaller in AIS patients,but lumbar curvature remains unchanged.The thoracic physiological curvature in mild AIS patients is greater than that in moderate AIS patients,but the lumbar curvature is almost unchanged between mild and moderate scoliosis and is similar with that in normal adolescent.The alteration of thoracic and lumbar physiological curvature in AIS patients may be related to relative an-terior spinal overgrowth,and the specific detailed mechanism needs to be further studied.

Objective:To analyze the construction of human resources in specialized public health institutions in China,with a view to providing reference for strengthening the construction of human resources in public health in China.Methods:Based on the data of China Health and Wellness Statistical Yearbook,descriptive statistical analysis,Gini coefficient and health resource agglomeration were used to analyze the quantity and quality of human resources in specialized public health institutions and the equity of human resource allocation in different regions of China from 2012 to 2021.Results:From 2012 to 2021,the average annual growth rate of the number of specialized public health institution personnel nationwide was 4.10%,and the average annual growth rate of the number of specialized public health institution personnel per 1 000 population was 3.71%.In 2021,the Gini coefficient of human resources in China's specialized public health institutions allocated by population was 0.1002,and the Gini coefficient of the allocation of human resources according to the geographic area was 0.6706,and 21 provinces'health resource agglomeration value were greater than 1.Conclusion:the total amount of human resources in China's specialized public health institutions has steadily increased during the decade,and the quality has been greatly improved,but there is still a gap with the expected development goal;the development of human resources in different specialized public health institutions is not balanced;demographic fairness is better than geographic fairness in the allocation of human resources in public health,and there are significant inter-provincial differences.

Objective:To evaluate the effects of different intervention measures on duration of mechanical ventilation and the length of intensive care unit (ICU) stay in critically ill patients using network Meta-analysis.Methods:Randomized controlled trial (RCT) on the effects of different intervention measures on duration of mechanical ventilation and the length of ICU stay in critically ill patients were systematically searched in PubMed, Embase, China Biomedical Literature Database, CNKI, and other databases. The search time limit was from the establishment of the database to November 2023. Literature screening, quality assessment, and data extraction were independently conducted by two researchers. Network Meta-analysis was employed to assess the effects of each intervention on duration of mechanical ventilation and the length of ICU stay, and funnel plots were generated.Results:A total of 37 RCTs were included, involving 3?977 severe patients, 2?041 in the intervention group and 1?936 in the control group. Thirteen types of interventions were analyzed, including usual care (UC), early activity (EA), early comprehensive rehabilitation (ECR), early pulmonary rehabilitation (EPR), cluster intervention strategy (CS), sedation, analgesia and cluster nursing (SACN), music therapy (MT), neuromuscular electrical stimulation (NMES), modified education and visitation (MV), virtual reality (VR), auricular point sticking (APS), acupoint acupuncture (AA), and concerted intervention (COR). Network Meta-analysis showed that MV significantly better than COR [standardized mean difference ( SMD) = -2.35, 95% confidence interval (95% CI) was -4.30 to -0.39], EPR ( SMD = -2.59, 95% CI was -4.81 to -0.37), and UC ( SMD = -4.10, 95% CI was -5.71 to -2.49) in improving duration of mechanical ventilation in critically ill patients. COR was significantly better than UC in shortened length of ICU stay ( SMD = -5.72, 95% CI was -10.07 to -1.37). The efficacy ranking results showed that for duration of mechanical ventilation, the surface under the cumulative ranking curve (SUCRA) was highest for MV (85.4%) and EA (85.4%), followed by AA (74.9%), NMES (63.1%), ECR (51.7%), CS (48.8%), SACN (34.3%), COR (29.4%), EPR (26.1%), and UC (0.7%). For the length of ICU stay, COR had the highest SUCRA (82.3%), followed by APS (79.7%), MV (77.7%), EPR (68.0%), NMES (57.6%), CS (54.4%), ECR (51.1%), SACN (41.9%), MT (39.8%), EA (39.3%), AA (33.0%), VR (15.4%), and UC (9.8%). The funnel plot results of ICU stay showed that the publication bias between studies were relatively small. Conclusions:MV and COR appear to be effective interventions for reducing mechanical ventilation time and ICU stay in critically ill patients. However, due to the number and quality of included studies, these findings require confirmation through additional high-quality research.

Aim To establish limited sampling strategy to esti-mate area under the drug concentration versus time curve(AUC0-t)of lymphoma patients treated with autologous stem cell transplantation(ASCT)who had busulfan intravenous infu-sion.Methods Twelve lymphoma patients treated with ASCT received a conditioning regimen containing busulfan 105 mg·m-2,Ⅳ infusion for 3 h.Blood samples were obtained 1 h after the start of the first dose of the busulfan infusion,at 5 min,1 h,2 h,4 h,6 h and 18 h after the end of the drug administration.LC-MS/MS was used to determine the busulfan serum concentra-tion.After obtaining the clinical pharmacokinetic parameters of busulfan by traditional pharmacokinetic method,multiple linear stepwise regression analysis was used to establish the AUC0-t es-timation model of busulfan based on limited sampling method.The model was further verified by Jackknife and Bootstrap meth-od.Bland-Altman plots were used to evaluate the consistency between the limited sampling method and the classical pharma-cokinetic method.Results The multiple linear regression equa-tion analysis of C60min,C180min and C300min was obtained by the limited sampling method.The regression equation was AUC0-t=295.003C60min+233.050C180min+273.163C300min-1202.713,r2=0.995,MPE=-0.87％,RMSE=2.40％.Conclusion The limited sampling model with three-point estimation can be used to estimate the AUC0-t of busulfan exposure in lymphoma patients with ASCT to provide reference for clinical application of busulfan.