OBJECTIVE To evaluate the clinical efficacy of Chaihu anxin capsules in the treatment of mild-to-moderate depression， analyze the influencing factors of its efficacy, construct a nomogram prediction model.METHODS Patients with mild-to-moderate depression treated at The First Hospital of Hebei Medical University from May 1， 2023 to March 10， 2025 were retrospectively included and categorized into Chaihu anxin capsules group and milnacipran group according to treatment regimen. Propensity score matching （PSM） was used to balance baseline characteristics， and treatment efficacy was compared after 8 weeks， including 24 Hamilton Depression Scale （HAMD-24） scores and changes， Hamilton Anxiety Scale （HAMA） scores and changes， and treatment response rate after 8 weeks of treatment. Patients receiving Chaihu anxin capsules were further classified as responders or non-responders based on the occurrence of treatment response. Univariate and multivariate Logistic regression analyses were conducted to identify the influencing factors of treatment response， and a nomogram model was constructed to predict the probability of treatment response， its predictive performance was evaluated using receiver operating characteristic （ROC） curves， calibration curves， and decision curve analysis.RESULTS A total of 297 patients were included before PSM， including 196 patients in the Chaihu anxin capsules group and 101 patients in the milnacipran group. After PSM， each group included 44 patients. After PSM， the HAMD-24 scores and HAMA scores at 8 weeks after treatment in the Chaihu anxin capsules group， as well as the HAMD-24 scores in the milnacipran group， were significantly lower than their respective baseline values （ P ＜0.05）； the change in HAMA score in the Chaihu anxin capsules group was significantly greater than that in the milnacipran group （ P ＝0.04）. Multivariable Logistic regression identified age， total bilirubin， and baseline HAMD-24 score as independent predictors of treatment response （ P ＜0.05）. The area under the ROC curve of the constructed nomogram prediction model was 0.72 （95% confidence interval： 0.637-0.799）， and the corrected Brier score was 0.143 （95% confidence interval： 0.112-0.176）； compared with the “all intervention” and “all non intervention” strategies， applying this nomogram prediction model could achieve higher net benefits within the threshold probability range of 8% to 37%.CONCLUSIONS The efficacy of Chaihu anxin capsules in improving mild-to-moderate depression is comparable to that of milnacipran， and it has certain advantages in improving anxiety symptoms； age， total bilirubin， and baseline HAMD-24 score are independent influencing factors for the treatment response of Chaihu anxin capsules. The nomogram prediction model constructed based on these factors has good discrimination， calibration， and clinical applicability.

Objective:To analyze the influencing factors of China′s DRG payment system reform(DRG reform) and its hierarchical relationship, for references for the in-depth promotion of China′s medical insurance payment reform.Methods:Relevant literature on DRG reform in China from databases such as CNKI, Wanfang Database, Pubmed, etc, were obtained. Content analysis method was used to extract the influencing factors of DRG reform. The correlation between each influencing factor was determined through expert discussion. An interpretive structural model(ISM) was constructed to analyze the hierarchical relationship of factors influencing DRG reform.Results:After analysis, the influencing factors(12) of DRG reform in China were included such as medical level, hospital management, and medical staff′s cognition and behavior. Among them, the local situation was the deep-level factor affecting DRG reform, 9 factors such as data quality assurance and policy design/implementation were the middle-level factors, and patients′ interests/needs and disease grouping were the surface-level factors.Conclusions:There were many influencing factors on the reform of China′s DRG payment system. It was suggested that relevant management departments in various regions should focus on the actual situation of the locality, take data quality and policy design and implementation as the key points of reform, formulate a scientific and reasonable DRG grouping scheme, safeguard the interests of patients, so as to promote the deepening of DRG reform.

OBJECTIVE To explore the isolation rates,drug resistance and molecular epidemiological characteristics of carbapenem-resistant gram-negative bacilli(CRGNB)isolated from intensive care units(ICU)of a tertiary hos-pital so as to provide bases for prevention and control of the nosocomial infections caused by CRGNB.METHODS The environmental surfaces that were high frequently contacted by the patients with CRGNB infections[carbapen-em-resistant Klebsiella pneumoniae(CRKP),carbapenem-resistant Acinetobacter baumannii(CRAB),carbap-enem-resistant Pseudomonas aeruginosa(CRPA)]and their hands were randomly sampled from the ICU of a ter-tiary three-A hospital from Apr.2024 to Aug.2024.Multilocus sequence typing(MLST)and detection of drug re-sistance genes were performed by means of complete genome sequencing technique and bioinformatics,and the ho-mology between the CRGNB strains isolated from the patients and the strains isolated from their surrounding was observed.RESULTS Totally 30(7.85％)strains of CRGNB were isolated,23(6.02％)of which were CRKP,7(1.83％)were CRAB,and no strain of CRPA was detected.The molecular subtyping showed that ST 11(93.33％)was dominant among the CRKP strains,and ST2(69.23％)was dominant among the CRAB strains.The phylogenetic analysis indicated that there were clonal transmission tendencies of CRKP-ST11 and CRAB-ST2.The analysis of drug resistance genes showed that the CRAB strains mainly carried ant(3")-lla(100％),blaOXA-23(92.31％)and amvA(92.31％);blaOXA-23 and blaOXA-66 were the major carbapenems resistance genes;the CRKP strains mainly carried the drug resistance genes emrDh,rmtB1,fosA and kdeA(all were 96.67％),followed by the carbapenems resistance gene blaKPC-2(90.00％).CONCLUSIONS ST11 is the predomi-nant molecular subtype for CRGNB among the CRKP strains isolated from the ICU,anf ST2 predominant among the CRAB strains;the carrying rates of drug resistance genes are high.There is risk of clonal transmission.It is necessary to strengthen the monitoring and take comprehensive infection control measures so as to reduce the incidence of nosocomial infections.

AIM To investigate the variations in mercury dissolution from HgS-containing traditional medicines in three kinds of simulated gastrointestinal dissolution media.METHODS 39 batches of 15 types of HgS-containing traditional medicines were collected,total mercury content and dissolved mercury concentrations in simulated gastric fluid,simulated intestinal fluid,and L-cysteine-containing simulated intestinal fluid were measured.The maximum daily intake of total mercury and soluble mercury was calculated based on the maximum daily clinical dosage.RESULTS Among the 15 types of medicines,the maximum daily intake of total mercury varied by 156 times,the daily intake of soluble mercury varied by 3 502 times in simulated gastric fluid,313 times in simulated intestinal fluid,and 10 663 times in L-cysteine-containing simulated intestinal fluid,approximately.CONCLUSION For the 15 types of HgS-containing traditional medicines,the daily maximum intake of soluble mercury showed greater variations than that of total mercury.Soluble mercury concentration is more closely correlated with intestinal absorption of mercury and thus represents a more rational quality control indicator for HgS-containing traditional medicines.

A centrifugation-free,single-reaction colorimetric method for detection of glucose,utilizing a dual nanozyme cascade system based on gold nanoparticles(AuNPs)and iron-doped carbon dots(FeCDs),was developed in this work.The AuNPs exhibited glucose oxidase-like activity to catalyze glucose oxidation for generation of H2O2,while the FeCDs demonstrated peroxidase-like activity to subsequently catalyze the H2O2-mediated oxidation of 3,3',5,5'-tetramethylbenzidine(TMB).To prevent interference from the blue signal generated by self-aggregation of AuNPs in subsequent quantitative detection,the reaction system was terminated with HCl,converting oxTMB into a stable yellow product.Based on changes in the absorbance at 450 nm of this yellow solution,a quantitative relationship was established between glucose concentration and absorbance at 450 nm(A450).Experimental results demonstrated that this sensor achieved a linear detection range of 44 μmol/L to 11.11 mmol/L(R2=0.993)with a detection limit of 30.68 μmol/L and spiked recoveries of 97.9%-104.7%.By integrating smartphone-based color recognition capabilities,a rapid visual detection platform was established for quantification of glucose through RGB analysis.The validation experimental results using commercial glucose injection samples further confirmed the practical application potential of this methodology.

Objective To explore the relationship between serum chitosinase 3-like protein 1(CHI3L1)and Syndecan-1(SDC1)levels and bone metabolism in elderly patients with type 2 diabetes mellitus and their predictive efficacy on osteoporosis.Methods A total of 412 elderly patients with type 2 diabetes admitted to this hospital from May 2019 to May 2023 were included in this study,and were divided into normal bone mass group(n=151),reduced bone mass group(n=138)and osteoporosis group(n=123)according to the iffer-ences in bone mineral density.Serum CHI3L1 and SDC1 levels were detected by enzyme-linked immunosor-bent assay,and serum levels of type 1 collagen cross-linked carboxyl terminal peptide(CTX),25-hydroxyvita-min D[25-(OH)D],osteocalcin(OC),and type 1 procollagen N-terminal propeptide(P1NP)were deter-mined by automatic chemiluminescence immunoassay.Pearson correlation analysis was used to investigate the relationship between serum CHI3L1,SDC1 and bone metabolism in elderly patients with type 2 diabetes.Re-ceiver operating characteristic(ROC)curve was drawn to evaluate the predictive value of serum CHI3L1 and SDC1 on osteoporosis in elderly patients with type 2 diabetes.Multivariate Logistic regression analysis was used to investigate the influencing factors of osteoporosis in elderly patients with type 2 diabetes.Results There were significant differences in diabetes course,fasting blood glucose,HbA1c and HDL-C a-mong normal bone mass group,decreased bone mass group and osteoporosis group(P＜0.05).The levels of serum CHI3L1,25-(OH)D,P1NP and osteocalcin in osteoporosis group were lower than those in osteopenia group,and those in osteopenia group were lower than those in normal bone mass group,the differences were statistically significant(P＜0.05).Serum SDC1 and CTX levels in osteoporosis group were higher than those in osteopenia group,and those in osteopenia group were higher than those in normal bone mass group,the differences were statistically significant(P＜0.05).Serum CHI3L1 was positively correlated with 25-(OH)D,P1NP and OC(P＜0.05),and negatively correlated with CTX(P＜0.05).Serum SDC1 was negatively correlated with 25-(OH)D,P1NP,OC(P＜0.05),and positively correlated with CTX(P＜0.05).The area under the curve(AUC)of serum CHI3L1,SDC1 and their combination predicted osteoporosis in elderly pa-tients with type 2 diabetes were 0.851,0.772 and 0.904,respectively.Multivariate Logistic regression analysis showed that long duration of diabetes,increased HbA1c,high expression of OC,CHI3L1＞4.16 ng/mL,SDC1≥50.94 ng/mL were all influential factors for osteoporosis in elderly patients with type 2 diabetes(P＜0.05).Conclusion Low expression of CHI3L1 and high expression of SDC1 in serum are associated with ab-normal bone metabolism in elderly patients with type 2 diabetes.These two indexes are expected to be used as biological markers to predict osteoporosis in elderly patients with type 2 diabetes.

Integrated medical curriculum is an important direction for the development of medical education. While integrated theoretical courses have been practiced for many years, integrated experiments are still in the exploratory stage. Taking the integrated experiments of medical microbiology and immunology in Xi'an Jiaotong University as an example, this article introduces the design concept, implementation details, effectiveness evaluation, improvements, and prospects of integrated experiments established based on clinical practice principles, so as to provide a reference for further optimization of integrated experiments in the future.

OBJECTIVE To explore the isolation rates,drug resistance and molecular epidemiological characteristics of carbapenem-resistant gram-negative bacilli(CRGNB)isolated from intensive care units(ICU)of a tertiary hos-pital so as to provide bases for prevention and control of the nosocomial infections caused by CRGNB.METHODS The environmental surfaces that were high frequently contacted by the patients with CRGNB infections[carbapen-em-resistant Klebsiella pneumoniae(CRKP),carbapenem-resistant Acinetobacter baumannii(CRAB),carbap-enem-resistant Pseudomonas aeruginosa(CRPA)]and their hands were randomly sampled from the ICU of a ter-tiary three-A hospital from Apr.2024 to Aug.2024.Multilocus sequence typing(MLST)and detection of drug re-sistance genes were performed by means of complete genome sequencing technique and bioinformatics,and the ho-mology between the CRGNB strains isolated from the patients and the strains isolated from their surrounding was observed.RESULTS Totally 30(7.85％)strains of CRGNB were isolated,23(6.02％)of which were CRKP,7(1.83％)were CRAB,and no strain of CRPA was detected.The molecular subtyping showed that ST 11(93.33％)was dominant among the CRKP strains,and ST2(69.23％)was dominant among the CRAB strains.The phylogenetic analysis indicated that there were clonal transmission tendencies of CRKP-ST11 and CRAB-ST2.The analysis of drug resistance genes showed that the CRAB strains mainly carried ant(3")-lla(100％),blaOXA-23(92.31％)and amvA(92.31％);blaOXA-23 and blaOXA-66 were the major carbapenems resistance genes;the CRKP strains mainly carried the drug resistance genes emrDh,rmtB1,fosA and kdeA(all were 96.67％),followed by the carbapenems resistance gene blaKPC-2(90.00％).CONCLUSIONS ST11 is the predomi-nant molecular subtype for CRGNB among the CRKP strains isolated from the ICU,anf ST2 predominant among the CRAB strains;the carrying rates of drug resistance genes are high.There is risk of clonal transmission.It is necessary to strengthen the monitoring and take comprehensive infection control measures so as to reduce the incidence of nosocomial infections.

With the continuous improvement of the national management requirements for medical quality and safety,it is particularly important to improve the level of refinement,scientificity,and standardization of medical quality and safety manage-ment.Based on the evaluation criteria of tertiary hospitals,a hospital in Tianjin has constructed a medical quality indicator moni-toring system,which has improved the management efficiency of medical data and assisted the hospital in successfully meeting the evaluation and achieved good results.This paper discusses the system's requirements analysis,construction process,application results,and shares experiences and shortcomings to provide reference for other medical institutions to improve the effectiveness of medical quality and safety management.

Objective:To investigate the status and influencing factors of substantial weight retention in patients with gestational diabetes mellitus (GDM) in early postpartum.Methods:This cross-sectional study employed a convenience sampling method to select 373 patients with GDM who underwent a 6-week postpartum health check at the Postpartum Health Clinic of Women′s Hospital of Nanjing Medical University from February to July in 2023. According to postpartum weight retention (PPWR) on the survey day, the participants were divided into a substantial PPWR group (≥5 kg, 139 cases) and a non-substantial PPWR group (<5 kg, 234 cases). Independent sample t-tests and χ2 tests were used to compare differences in demographic data, clinical data, and biochemical indicators between the two groups. Binary logistic regression was used to analyze the influencing factors of early substantial postpartum weight retention in patients with GDM. Results:A total of 37.27% (139/373) of GDM patients experienced substantial postpartum weight retention at 6 weeks postpartum. The rates of diabetes in family history, excessive gestational weight gain, gestational hypertension, and infant neonatal intensive care unit (NICU) admission in substantial PPWR group were all significantly higher than those in the non-substantial PPWR group (32.37% vs 23.08%, 73.38% vs 20.09%, 13.67% vs 5.56%, 21.58% vs 9.83%) (all P<0.05); but the proportion of overweight or obese before pregnancy and postpartum self-monitoring of blood glucose were both lower in the substantial PPWR group than those in the non-substantial PPWR group (25.18% vs 41.03%, 17.99% vs 27.78%)(all P<0.05). Binary logistic regression indicated that family history of diabetes ( OR=2.826, 95% CI: 1.517-5.265), excessive gestational weight gain ( OR=19.240, 95% CI: 10.360-35.732), and infant NICU admission ( OR=2.447, 95% CI: 1.150-5.205) were positively related to the occurrence of substantial weight retention in patients with GDM in early postpartum, whereas pre-pregnancy overweight or obesity ( OR=0.189, 95% CI: 0.100-0.360) was negatively correlated to substantial weight retention in patients with GDM in early postpartum (all P<0.05). Conclusion:Substantial weight retention is prevalent among GDM patients in early postpartum, which is significantly influenced by family history of diabetes, pre-pregnancy overweight or obesity, excessive gestational weight gain, and infant NICU admission history.