OBJECTIVE To explore the construction of selection system for drug directory of the county-level medical community based on multi-criteria decision analysis， and provide decision-making basis for the selection of drug directory of medical community. METHODS Taking county-level medical community in Chongqing as an example，Delphi method and analytic hierarchy process were employed to construct the selection system for drug directory of the county-level medical community. Selected drugs were quantitatively scored based on the constructed index system， and the drug directory was selected according to the drug’s comprehensive score. The implementation effect of the directory was then evaluated through questionnaire surveys one year after the implementation of the directory. RESULTS The expert authority coefficients of the two rounds of consultation were＞ 0.8， with Kendall’s W values of 0.213 and 0.196， respectively （P＜0.001）. Finally， the selection system for drug directory of the medical community was determined to include five evaluation dimensions： safety， effectiveness， economy， accessibility， and innovation， along with eight evaluation indicators. In the drug directory selected according to the above method， the proportions of centrally procured drugs， medical insurance drugs， and essential drugs had all increased compared to before the selection； the comprehensive scores of chemical drugs ranged from 50.25 to 96.31 scores， and the proportion of drugs scoring between 70 and 100 scores had increased from 78.06% before selection to 85.82%. Among them， antiparasitic drugs had the highest comprehensive scores， while drugs for the digestive tract and metabolism were the most numerous. The evaluation scores of each indicator and the comprehensive scores of drugs in the drug directory after the selection process increased significantly than before selection （P＜ 0.05）. CONCLUSIONS The selection system for drug directory of the county-level medical community constructed in this study is scientific， objective and operable. This process facilitates the promotion of standardized and unified management of drugs in the medical community.

ObjectiveTo investigate the characteristics of mitochondrial translational initiation factor 2 （MTIF2） gene methylation and its association with the development and progression of hepatocellular carcinoma （HCC）. MethodsMethSurv and EWAS Data Hub were used to perform the standardized analysis and the cluster analysis of MTIF2 methylation samples， including survival curve analysis， methylation signature analysis， the association of tumor signaling pathways， and a comparative analysis based on pan-cancer database. The independent-samples t test was used for comparison between two groups； a one-way analysis of variance was used for comparison between multiple groups， and the least significant difference t-test was used for further comparison between two groups. The Cox proportional hazards model was used to perform the univariate and multivariate survival analyses of methylation level at the CpG site. The Kaplan-Meier method was used to investigate the survival differences between the patients with low methylation level and those with high methylation level， and the Log-likelihood ratio method was used for survival difference analysis. ResultsGlobal clustering of MTIF2 methylation showed that there was no significant difference in MTIF2 gene methylation level between different races， ethnicities， BMI levels， and ages. The Kaplan-Meier survival curve analysis showed that the patients with N-Shore hypermethylation of the MTIF2 gene had a significantly better prognosis than those with hypomethylation （hazard ratio ［HR］=0.492， P<0.001）， while there was no significant difference in survival rate between the patients with different CpG island and S-Shore methylation levels （P>0.05）. The methylation profile of the MTIF2 gene based on different ages， sexes， BMI levels， races， ethnicities， and clinical stages showed that the N-Shore and CpG island methylation levels of the MTIF2 gene decreased with the increase in age， and the Caucasian population had significantly lower N-Shore methylation levels of the MTIF2 gene than the Asian population （P<0.05）； the patients with clinical stage Ⅳ had significantly lower N-Shore and CpG island methylation levels of the MTIF2 gene than those with stage Ⅰ/Ⅱ （P<0.05）. Clinical validation showed that the patients with stage Ⅲ/Ⅳ HCC had a significantly lower methylation level of the MTIF2 gene than those with stage Ⅰ/Ⅱ HCC and the normal population （P<0.05）. ConclusionN-Shore hypomethylation of the MTIF2 gene is a risk factor for the development and progression of HCC.

ObjectiveTo investigate the clinical features and outcomes of recompensation in patients with autoimmune hepatitis （AIH）-related decompensated cirrhosis， to identify independent predictive factors， and to construct a nomogram prediction model for the probability of recompensation. MethodsA retrospective cohort study was conducted among the adult patients with AIH-related decompensated cirrhosis who were admitted to The Fifth Medical Center of PLA General Hospital from January 2015 to August 2023 （n=211）. The primary endpoint was achievement of recompensation， and the secondary endpoint was liver-related death or liver transplantation. According to the outcome of the patients at the end of the follow-up， the patients were divided into the recompensation group （n=16） and the persistent decompensation group（n=150）.The independent-samples t test was used for comparison of normally distributed continuous data with homogeneity of variance， and the Mann-Whitney U rank sum test was used for comparison of non-normally distributed continuous data with heterogeneity of variance； the chi-square test or the Fisher’s exact test was used for comparison of categorical data between groups； the Kaplan-Meier method was used for survival analysis； the Cox proportional-hazards regression model was used to identify independent predictive factors， and a nomogram model was constructed and validated. ResultsA total of 211 patients were enrolled， with a median age of 55.0 years and a median follow-up time of 44.0 months， and female patients accounted for 87.2%. Among the 211 patients， 61 （with a cumulative proportion of 35.5%） achieved recompensation. Compared with the persistent decompensation group， the recompensation group had significantly higher white blood cell count， platelet count （PLT）， total bilirubin （TBil）， alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， total bile acid， prothrombin time， international normalized ratio （INR）， SMA positive rate， Model for End-Stage Liver Disease （MELD） score， Child-Pugh score， and rate of use of glucocorticoids （all P0.05）， as well as significantly lower age at baseline， number of complications， and death/liver transplantation rate （all P0.05）. At 3 and 12 months after treatment， the recompensation group had continuous improvements in AST， TBil， INR， IgG， MELD score， and Child-Pugh score， which were significantly lower than the values in the persistent decompensation group （all P0.05）， alongside with continuous increases in PLT and albumin， which were significantly higher than the values in the persistent decompensation group （P0.05）. The multivariate Cox regression analysis showed that baseline ALT （hazard ratio ［HR］=1.067， 95% confidence interval ［CI］： 1.010 — 1.127， P=0.021）， IgG （HR=0.463，95%CI：0.258 — 0.833， P=0.010）， SMA positivity （HR=3.122，95%CI：1.768 — 5.515， P0.001）， and glucocorticoid therapy （HR=20.651，95%CI：8.744 — 48.770， P0.001） were independent predictive factors for recompensation， and the nomogram model based on these predictive factors showed excellent predictive performance （C-index=0.87，95%CI：0.84 — 0.90）. ConclusionAchieving recompensation significantly improves clinical outcomes in patients with AIH-related decompensated cirrhosis. Baseline SMA positivity， a high level of ALT， a low level of IgG， and corticosteroid therapy are independent predictive factors for recompensation. The predictive model constructed based on these factors can provide a basis for decision-making in individualized clinical management.

Aim To compare the pharmacokinetics of pemirolast potassium tablets in healthy subjects in Chi-na under single fasting and postprandial conditions,and to evaluate the bioequivalence of the test prepara-tion(T)and the reference preparation(R).Methods A randomized,open-ended,single-dose,two-cycle,double-cross bioequivalence trial design was adopted,and 26 and 30 subjects were enrolled in the fasting group and the postprandial group,respectively,and 10 mg of the test preparation and the reference preparation were taken in the fasting or postprandial state each cy-cle,and venous blood was collected at the designed time points before and after the administration cycle.The concentration of pemirolast potassium in plasma was determined by LC-MS/MS method,and the phar-macokinetic parameters were calculated with PhoenixTM WinNonlin ?(8.3)software,and the bioequivalence analysis of the two preparations was performed.Re-sults The t1/2 of the test preparation and the reference preparation was(4.44±0.91)h and(4.49±0.93)h,respectively;the median tmax was(1.96±1.29)h and(2.18±1.25)h,respectively;the Cmax was(867.12±205.56)μg·L-1 and(863.35±172.03)μg·L-1,respectively;the AUC0-t was(5 513.23±1463.67)h·μg·L-1 and(5 661.32±1 628.65)h·μg·L-1,respectively;AUC0_∞ was(5 699.81±1477.68)h·μg·L-1 and(5 849.44±1 644.75)h·μg·L-1,respectively.The statistical results of the 90％confidence intervals of the main pharmacokinetic parameters Cmax,AUC0-t,and AUC0-∞ was 92.49％～107.53％,94.71％～100.67％and 95.28％～100.27％,respectively,all of which were within the range of 80.00％～125.00％,and the safety of the tested preparation and the reference preparation was good when taken orally on an empty stomach.The t1/2 of single oral administration after prandial administra-tion of the tested preparation and the reference prepara-tion was(4.46±0.78)and(4.51±0.84)h,respec-tively;the median tmax was(3.08±1.36)h and(3.28±1.28)h,respectively;the Cmax was(683.83±111.87)μg·L-1 and(689.77±110.24)μg·L-1,respectively;the AUC0-t was(5 695.99±1566.05)h·μg·L-1 and(5 773.60±1 551.04)h·μg·L-1,respectively;the AUC0-∞ was(5 914.06±1 551.86)h·μg·L-1 and(5 967.30±1552.89)h·μg·L-1,respectively.The 90％confi-dence interval of Cmax,AUC0-t,and AUC0-∞ was 93.56％～104.69％,96.43％～100.83％,and 97.29％～101.14％,respectively,which was in the range of 80.00％～125.00％,and the safety of the tested preparation and the reference preparation was good after meals.Conclusion In the state of fasting and postprandial single oral administration,the two kinds of pemirolast potassium tablets have good bio-equivalence.

Objective:Using bioinformatics methods to study the immune infiltration mechanism of lupus nephritis(LN)and to explore potential target Chinese medicines,which can provide new directions for clinical treatment of LN.Methods:Gene expres-sion profile microarray dataset of LN was downloaded from GEO database,differential expressed genes(DEGs)were screened using R software,and GO and KEGG enrichment analysis were performed on these DEGs.Protein interaction network analysis of DEGs was performed by applying STRING database,key genes were screened by using Cytoscape,core gene expression was validated by Nephro-seq database,and the infiltration and correlation of 22 kinds of immune cells in LN were calculated by CIBERSORT deconvolution algorithm.Finally,herbal prediction of significantly enriched immune-related biological processes and key target genes were performed by Coremine Medical database.Results:A total of 367 LN-related DEGs were obtained,of which 253 were up-regulated and 114 were down-regulated.GO was mainly enriched in response to viruses,defense response to viruses,regulation of viral life cycle,regulation of viral processes,etc;KEGG was mainly enriched in S.aureus infection,COVID-19,influenza A,complement and coagulation cascade,pertussis,etc.Ten key genes were screened:IFIT3,OAS2,MX1,OAS1,RSAD2,XAF1,ISG15,IFIT1,ITGAM and PTPRC.Immune infiltration by CIBERSORT deconvolution algorithm showed that monocytes and initial B cells were highly expressed in LN,while memory B cells,naive CD4+T cells,follicular helper T cells and resting natural killer cells were lowly expressed in LN.Immune cell correlation analysis showed a positive correlation between initial B cells and plasma cells,a positive correlation between resting natural killer cells and resting dendritic cells,a negative correlation between monocytes and regulatory T cells,and a negative correlation between resting CD4+memory T cells and monocytes.Coremine Medical predicted that Salvia miltiorrhiza,Panax notogin-seng,Scutellaria baicalensis,ginseng,honey,monkey mushroom and peony were found to be most closely related to immunity in LN.Conclusion:The development and progression of LN are results of the combined involvement of multiple genes and pathways.Mono-cytes,memory B cells,initial CD4+T cells and initial B cells are most closely associated with LN.The predicted Salvia miltiorrhiza,Panax notoginseng,Scutellaria baicalensis,ginseng,honey,monkey mushroom and peony may be used as target herbs for the poten-tial treatment of LN.

Objective To explore the expression and clinical value of serum calprotectin and toll like receptor 2(TLR2)with type 2 diabetic kidney disease(DKD).Method According to the levels of UACR,90 T2DM patients treated in our hospital from January 2019 to January 2022 were divided into normal albuminuria group(Con,UACR<30 mg/g),microalbuminuria group(Micro,UACR 30～300 mg/g),and macroalbuminuria group(Macro,UACR>300 mg/g),30 cases per group.Result The levels of BMI,HbAlc,calprotectin,TLR2,and NLRP3 increased sequentially from Con,Micro to Macro groups(P<0.05),while eGFR in the Macro group was lower than that in the Con or Micro groups(P<0.05).Pearson correlation analysis showed that serum calprotectin was positively correlated with BMI,WC,SBP,FPG,HbAlc,TC,TG,Scr,UACR(P<0.05 or P<0.01),and negatively correlated with eGFR(P<0.01);NLRP3 is positively correlated with BMI,WC,SBP,FPG,HbAlc,TC,TG,Scr,SUA,and UACR(P<0.01),and negatively correlated with eGFR(P<0.01);TLR2 was positively correlated with BMI,WC,SBP,FPG,HbAlc,TC,TG,Scr and UACR(P<0.05 or P<0.01),and negatively correlated with eGFR(P<0.01).Multiple linear regression analysis showed that FPG,HbAlc,TC,Scr,calprotectin,and TLR2 were the influencing factors of UACR.Receiver operating characteristic(ROC)curve analysis showed that the area under the curve for diagnosing DKD with serum calprotectin and TLR2 was 0.883 and 0.961,with sensitivities of 73.33%and 96.67%,and specificity of 100.00%and 83.33%.Conclusion Serum calprotectin and TLR2 are closely related to the occurrence and development of DKD.The diagnostic value of TLR2 for DKD is superior to serum calprotectin.

Objective To systematically evaluate and integrate qualitative studies on the disease experience and demands of stroke aphasic patients during rehabilitation,and to provide references for the development of a rehabilitation care strategy oriented to the needs of poststroke aphasia patients.Methods Computer search of PubMed,Web of Science,Embase,Cochrane Library,CINAHL,China Knowledge Network,Wanfang database,and VIP Chinese biomedical journals was conducted for qualitative research on the illness experience and demands of poststroke aphasia patients during rehabilitation from the time of database construction to May 2023.The literature was evaluated using the Australian JBI Quality Evaluation Criteria for Qualitative Research in Evidence-based Health Care Centers(2016),and the results were consolidated using an aggregative integration approach.Results A total of 18 studies were included,and a total of 1 theoretical model and 70 themes were extracted and grouped to form 7 categories,which were combined into 3 integrated outcomes:poststroke aphasia is a traumatic life event;poststroke aphasia patients actively rebuild their lives;the demands of poststroke aphasia patients during rehabilitation.Conclusion Poststroke aphasia patients during rehabilitation face difficulties in life;medical professionals should stimulate patients'positive feelings,strive to promote patients'social integration and self-management,meet patients'multidimensional and diverse rehabilitation demands,and ultimately construct personalized rehabilitation management programs oriented to patients'demands with poststroke aphasia.

Objective:To explore the automated synthesis of glucagon-like peptide-1 receptor agonist 18F-AlF-1, 4, 7-triazacyclononane-1, 4, 7-triacetic acid (NOTA)-maleimide (Mal)-cysteine (Cys) 39-exendin-4 ( 18F-exendin-4), and verify its diagnostic efficacy on insulinoma with PET/CT. Methods:Using NOTA-Mal-Cys 39-exendin-4 as the labeled precursor, 18F-exendin-4 was obtained by constructing Al 18F one-step reaction sequence and using All in one multifunctional chemical synthesizer for radiolabelling, purification and preparation. After the quality control, 18F-exendin-4 PET/CT imaging was performed on 1 patient (female, 55 years old) with clinical suspicion of insulinoma. Results:Radiolabelling of 18F-exendin-4 took about 40 min, with the non-decay corrected radiochemical yield of (18.03±2.67)% ( n=3), the molar activity>39.74 GBq/μmol, and the radioactivity concentration>390.00 MBq/ml. The injection was a colorless transparent liquid with pH value of 6.5, and the radiochemical purity>96%. Results of bacteria and endotoxins testing met the standards of Pharmacopoeia of the People′ s Republic of China (2020). PET/CT image analysis showed a nodular high uptake of 18F-exendin-4 in the pancreatic body. The pathological and immunohistochemical results were consistent with the characteristics of neuroendocrine neoplasm (G2). Conclusions:The automatic radiolabelling of 18F-exendin-4 is successfully realized by All in one multifunctional chemical synthesizer. 18F-exendin-4 has been proved to be of clinical value in diagnosis of insulinoma, and is suitable for promotion in medical institutions equipped with medical cyclotrons.

Objective:To analyze the dose-response relationship of 99Tc m-dimercaptosuccinic acid (DMSA) in pediatric renal static imaging. Methods:A retrospective analysis of children (model group: n=199, 81 males, 118 females; validation group: n=30, 13 males, 17 females; all age: 1 month-14 years) who underwent 99Tc m-DMSA renal static imaging from January 2022 to November 2023 in Wuhan Children′s Hospital, Tongji Medical College, Huazhong University of Science and Technology were conducted. Post-administration radiation counts and related clinical data were collected. Imaging quality was evaluated using visual analogue scoring (VAS). ROC curve analysis was used to assess the relationship between radiation count intensity (RCI) and imaging quality. A nonlinear mixed-effects modeling method was employed to establish the dose-response relationship for 99Tc m-DMSA in pediatric renal static imaging. Internal and external validations of the model were performed. Final model was utilized to evaluate patient dosing protocols. Results:Body weight was considered as a significant determinant of the dose-response relationship in 99Tc m-DMSA renal static imaging( χ2 values: 120.79, 116.36, both P<0.05). ROC curve analysis showed that the quality of diagnostic images was acceptable when the anterior renal RCI was ≥32.61 (cut-point) and the posterior renal RCI was ≥35.46 (cut-point). Both internal and external validation results demonstrated that the dose-response model established exhibited good prediction performance. Based on the final model graph, the image quality could meet the requirements for clinical diagnosis. Conclusions:The 99Tc m-DMSA dose-response model for pediatric renal static imaging is successfully established. Individualized dosage based on the model can provide a reference for clinical individualized dosing decision-making.

Radiopharmaceuticals play an important role in the medical field,but they also carry certion risks and potential safety concerns.Medical institutions implement pharmacovigilance to ensure the safety of patients'drug use,including the safety of Radiopharmaceuticals.The operation and management of the pharmacovigilance system in the United States and the European Union are relatively mature.China can learn from their advanced concepts and establish our own radiopharmaciligence system.