OBJECTIVE To investigate a dynamic monitoring of drug consumption （DMDC） model based on the seasonal Mann-Kendall trend test， aiming to provide scientific evidence for the efficient and macroscopic monitoring of drug use. METHODS A monitoring list of key outpatient drugs was established based on the top 20% of drugs ranked by sales volume in the outpatient pharmacy in October 2024. A DMDC model based on the Mann-Kendall trend test was constructed using the monthly usage data of key outpatient drugs from November 2021 to October 2024， aiming to eliminate the impact of seasonal fluctuations and analyze the temporal trends in drug consumption. Taking mucolytic expectorants， triazole derivatives for dermatophytosis， and single-agent hydroxymethylglutaryl coenzyme A （HMG-CoA） reductase inhibitors as examples， the monitoring effectiveness of the DMDC model was demonstrated， and its performance was compared with that achieved by the traditional sequential growth rate ranking method. RESULTS A total of 215 drug varieties were included in the monitoring list， and DMDC models were successfully established for all of them. Among these， 119 showed a significant increasing trend （P＜0.05， S′＞0）. The model successfully monitored the monthly consumption of mucolytic expectorants， triazole derivatives for dermatophytosis， and single- agent HMG-CoA reductase inhibitors. The precision and recall rates of the DMDC model for identifying abnormal drug use were 60.7% and 85.0%， respectively， both significantly higher than those of the sequential growth rate ranking method （8.3% and 15.0%， respectively） （χ2＝20.114， P＜0.001； χ2＝19.600， P＜0.001）. CONCLUSIONS DMDC model based on the seasonal Mann-Kendall trend test can effectively identify long-term trends in drug consumption， eliminate seasonal interference， enhance monitoring accuracy and management efficiency， and is suitable for the dynamic monitoring of drug consumption.

ObjectiveTo investigate whether there exists an independent association beyond shared risk factors between colorectal space-occupying lesions and metabolic associated fatty liver disease （MAFLD）， and to provide new ideas for early identification of colorectal space-occupying lesions in the MAFLD population. MethodsA retrospective analysis was performed for 12 252 patients who were hospitalized in The First Affiliated Hospital of Shandong First Medical University （Shandong Provincial Qianfoshan Hospital） and underwent both colonoscopy and abdominal imaging （abdominal ultrasound， magnetic resonance imaging， or computed tomography） from September 1， 2018 to August 31， 2023. According to colonoscopy findings， the patients were divided into colorectal space-occupying lesion group with 6 545 patients and non-colorectal space-occupying lesion group with 5 707 patients. Baseline data were compared between the two groups. The univariate and multivariate Logistic regression analyses were used to identify influencing factors for colorectal space-occupying lesions， and further analysis was performed to investigate the association of MAFLD and liver fibrosis （assessed by fibrosis-4 ［FIB-4］， nonalcoholic fatty liver disease fibrosis score ［NFS］， and aspartate aminotransferase-to-platelet ratio index） with colorectal space-occupying lesions. The Mann-Whitney U test was used for comparison of continuous data with skewed distribution between groups， and the chi-square test or the Fisher’s exact test was used for comparison of categorical data between groups. ResultsThe univariate analysis showed that compared with the non-colorectal space-occupying lesion group， the colorectal space-occupying lesion group had significantly higher age （Z=-95.628， P<0.001）， proportion of male patients （χ²=406.910， P<0.001）， body weight （Z=-24.928， P<0.001）， body mass index （BMI） （Z=-21.367， P<0.001）， diastolic blood pressure （Z=-15.527， P<0.001）， systolic blood pressure （Z=-16.965， P<0.001）， proportion of patients with history of coronary heart disease （χ²=28.112， P<0.001）/hypertension （χ²=152.993， P<0.001）/diabetes （χ²=52.175， P<0.001）/cerebral infarction （χ²=14.097， P<0.001）， white blood cell count （WBC） （Z=-12.801， P<0.001）， hemoglobin （HGB） （Z=-19.258， P<0.001）， aspartate aminotransferase （Z=-6.673， P=0.001）， alanine aminotransferase （Z=-10.375， P<0.001）， alkaline phosphatase （Z=-10.496， P<0.001）， gamma-glutamyl transpeptidase （GGT） （Z=-18.893， P<0.001）， blood urea nitrogen （Z=-13.291， P<0.001）， creatinine （Z=-16.798， P<0.001）， uric acid （Z=-16.822， P<0.001）， triglyceride （Z=-10.186， P<0.001）， and fasting blood glucose （Z=-15.761， P<0.001）. The multivariate Logistic regression analysis showed that age （odds ratio ［OR］=1.052， 95% confidence interval ［CI］： 1.045 — 1.057， P<0.001）， sex （OR=0.523， 95%CI： 0.466 — 0.587， P<0.001）， BMI （OR=1.031， 95%CI： 1.018 — 1.046， P<0.001）， history of hypertension （OR=1.140， 95%CI： 1.019 — 1.276， P=0.022）， WBC （OR=1.057， 95%CI： 1.028 — 1.087， P<0.001）， GGT （OR=1.001， 95%CI： 1.000 — 1.002， P=0.021）， Alb （OR=0.982， 95%CI： 0.969 — 0.995， P=0.008）， and HGB （OR=1.004， 95%CI： 1.001 — 1.008， P=0.019） were independent influencing factors for colorectal space-occupying lesions. In the MAFLD population， after adjustment for age， sex， BMI， history of hypertension， WBC， HGB， GGT， and Alb， intermediate-to-high risk of advanced liver fibrosis assessed by FIB-4 and NFS was still an influencing factor for colorectal space-occupying lesions （FIB-4： OR=1.457， 95%CI： 1.176 — 1.810， P<0.05； NFS： OR=1.499， 95%CI： 1.244 — 1.809， P<0.05）. Liver fibrosis degree based on FIB-4 was not significantly associated with the pathological type， location， size， or number of colorectal space-occupying lesions （all P>0.05）. While intermediate-to-high risk of advanced liver fibrosis based on NFS was not associated with pathological type， location， or size， it might be associated with the number of lesions （χ²=9.770， P<0.05）. ConclusionAge， sex， BMI， history of hypertension， WBC， HGB， GGT， and Alb are independent influencing factors for colorectal space-occupying lesions. Intermediate-to-high risk of advanced liver fibrosis assessed by FIB-4 or NFS is independently associated with colorectal space-occupying lesions， and liver fibrosis assessed by NFS might be associated with the increase in the number of lesions.

OBJECTIVE To provide scientific evidence and practical references for refined antimicrobial stewardship in multi- branch medical institutions. METHODS Data of antibiotic use density （AUD） of inpatients as well as physician-level case mix index （CMI） were collected from the Liji Road main campus and Panlongcheng branch campus of our hospital from August 2023 to March 2026. The two-factor decomposition method was adopted to decompose total AUD variation into a level effect and structural effect. Grey relational analysis （GRA） was performed to quantify the correlation degree between ward CMI， physician CMI and physician AUD， so as to identify wards and physicians requiring targeted key intervention in different campuses. A refined antimicrobial management framework for multi-branch hospitals was constructed and implemented based on the above analytical results. An interrupted time series （ITS） model incorporating seasonal dummy variables was applied. The research period was divided into pre-intervention stage （August 2023 to March 2024） and post-intervention stage （April 2024 to March 2026）. The temporal changing trends of AUD in two campuses were compared to evaluate management efficacy. RESULTS Driving factors for AUD variation presented significant heterogeneity between the two campuses. AUD variation in the main campus was dominated by level effect， while AUD variation in the branch campus was jointly affected by structural effect and level effect. The grey relational degrees of ward CMI and physician CMI with physician AUD were 0.901 and 0.882， respectively. After refined management implementation， AUD decreased by 7.48 DDDs/（100 bed·days） and 20.54 DDDs/（100 bed·days） in the main campus and branch campus， respectively； the rising trends of AUD in both campuses reversed to declining trends after intervention. CONCLUSIONS Driving factors of AUD variation under the multi-branch hospital model show obvious inter-campus heterogeneity. CMI is highly correlated with AUD. The refined management system developed via AUD attribution decomposition and CMI correlation analysis matches the differentiated clinical characteristics of multi- branch hospitals and effectively improves the precision of antimicrobial stewardship.

ObjectiveTo investigate the effect of Danggui Shaoyaosan on ferroptosis in the rat model of non-alcoholic fatty liver disease （NAFLD） and explore the underlying mechanism based on the nuclear factor E₂-related factor 2 （Nrf2）/solute carrier family 7 member 11 （SLC7A11）/glutathione peroxidase 4 （GPX4） signaling pathway. MethodsThe sixty SD rats were randomly grouped as follows： control， model， Yishanfu （0.144 g·kg^-1）， and low-， medium-， and high-dose （2.44， 4.88， and 9.76 g·kg^-1， respectively） Danggui Shaoyaosan. A high-fat diet was used to establish the rat model of NAFLD. After 12 weeks of modeling， rats were treated with corresponding agents for 4 weeks. Then， the body weight and liver weight were measured， and the liver index was calculated. At the same time， serum and liver samples were collected. The levels or activities of total cholesterol （TC）， triglycerides （TG）， alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， and Fe²⁺ in the serum and TC， TG， free fatty acids （FFA）， malondialdehyde （MDA）， superoxide dismutase （SOD）， glutathione peroxidase （GPX）， and Fe²⁺ in the liver were measured. Hematoxylin-eosin staining and oil red O staining were employed to observe the pathological changes in the liver. Immunofluorescence was used to assess the reactive oxygen species （ROS） content in the liver. Mitochondrial morphology was observed by transmission electron microscopy. The protein levels of Nrf2， SLC7A11， GPX4， transferrin receptor 1 （TFR1）， and divalent metal transporter 1 （DMT1） in the liver were determined by Western blot. ResultsCompared with the control group， the model group showed increases in the body weight， liver weight， liver index， levels or activities of TC， TG， ALT， AST， and Fe²⁺ in the serum， levels of TC， TG， FFA， MDA， Fe²⁺， and ROS in the liver， and protein levels of TFR1 and DMT1 in the liver （P<0.01）， and decreases in the activities of SOD， GPX and the protein levels of Nrf2， SLC7A11， and GPX4 in the liver （P<0.05， P<0.01）. Meanwhile， the liver tissue in the model group presented steatosis， iron deposition， mitochondrial shrinkage， and blurred or swollen mitochondrial cristae. Compared with the model group， all doses of Danggui Shaoyaosan reduced the body weight， liver weight， liver index， levels or activities of TC， TG， ALT， AST， and Fe²⁺ in the serum， levels of TC， TG， FFA， MDA， Fe²⁺， and ROS in the liver， and protein levels of TFR1 and DMT1 in the liver （P<0.01）， while increasing the activities of SOD and GPX and the protein levels of Nrf2， SLC7A11， and GPX4 in the liver （P<0.01）. Furthermore， Danggui Shaoyaosan alleviated steatosis， iron deposition， and mitochondrial damage in the liver. ConclusionDanggui Shaoyaosan may inhibit lipid peroxidation and ferroptosis by activating the Nrf2/SLC7A11/GPX4 signaling pathway to treat NAFLD.

Objective:To investigate the association between adiponectin-related copy number variation (CNV) region (CNVR) and gestational diabetes mellitus (GDM).Methods:Pregnant women who had prenatal screening in Anqing Municipal Hospital, Anhui Province, from February 2018 to December 2020 were surveyed for baseline information collection, and blood samples were collected. The outcome information was obtained by post pregnancy follow-up. Latex-enhanced immunoturbidimetry and ASA-CHIA chip were used to detect serum adiponectin levels and CNV of pregnant women, respectively. After genotyping, CNV data were processed with software PennCNV 1.0.5 following standard quality control procedure. CNVR were identified and integrated by using software R 4.3.3. Then the associations between CNVR and adiponectin was evaluated, and gene annotation and over-representation analysis were conducted. The log-binomial regression model was used to adjust relevant covariates and analyze the association between adiponectin-related CNVR and GDM.Results:The detection rate of GDM was 9.54% (176/1 845) in the pregnant women. The genotyping information of 1 840 people (99.73%) passed quality evaluation. A total of 33 878 CNVs were identified, and 1 449 CNVRs were obtained after integration. After the false discovery rate method correction, CNVR_132 (CHR2: 47611743-47635062), CNVR_254 (CHR3: 10182703-10183872), CNVR_691 (CHR7: 150637053-150834539) and CNVR_1101 (CHR14: 104248431-104830620) were correlated with adiponectin levels (all P<0.05). Over- representation analysis showed that the molecular function of ribonucleotide binding [Gene Ontology (GO): 0032553] was significantly enriched based on the GO database. The log-binomial regression model, adjusting age, pre-pregnancy BMI, history of miscarriage, smoking history, and family history of diabetes, indicated that CNVR_132 (CHR2: 47611743-47635062) and CNVR_1101 (CHR14: 104248431-104830620) were not statistically associated with the risk for GDM (both P>0.05). However, CNVR_254 (CHR3: 10182703-10183872, a RR=1.83, 95% CI: 1.15-2.91) and CNVR_691 (CHR7: 150637053-150834539, a RR=1.73, 95% CI: 1.23-2.43) might be associated with an increased risk for GDM (all P<0.05). Conclusion:Adiponectin-related CNVR_254 (CHR3: 10182703-10183872) and CNVR_691 (CHR7: 150637053-150834539) might be risk factors for the incidence of GDM.

Objective:To investigate the association between adiponectin-related copy number variation (CNV) region (CNVR) and gestational diabetes mellitus (GDM).Methods:Pregnant women who had prenatal screening in Anqing Municipal Hospital, Anhui Province, from February 2018 to December 2020 were surveyed for baseline information collection, and blood samples were collected. The outcome information was obtained by post pregnancy follow-up. Latex-enhanced immunoturbidimetry and ASA-CHIA chip were used to detect serum adiponectin levels and CNV of pregnant women, respectively. After genotyping, CNV data were processed with software PennCNV 1.0.5 following standard quality control procedure. CNVR were identified and integrated by using software R 4.3.3. Then the associations between CNVR and adiponectin was evaluated, and gene annotation and over-representation analysis were conducted. The log-binomial regression model was used to adjust relevant covariates and analyze the association between adiponectin-related CNVR and GDM.Results:The detection rate of GDM was 9.54% (176/1 845) in the pregnant women. The genotyping information of 1 840 people (99.73%) passed quality evaluation. A total of 33 878 CNVs were identified, and 1 449 CNVRs were obtained after integration. After the false discovery rate method correction, CNVR_132 (CHR2: 47611743-47635062), CNVR_254 (CHR3: 10182703-10183872), CNVR_691 (CHR7: 150637053-150834539) and CNVR_1101 (CHR14: 104248431-104830620) were correlated with adiponectin levels (all P<0.05). Over- representation analysis showed that the molecular function of ribonucleotide binding [Gene Ontology (GO): 0032553] was significantly enriched based on the GO database. The log-binomial regression model, adjusting age, pre-pregnancy BMI, history of miscarriage, smoking history, and family history of diabetes, indicated that CNVR_132 (CHR2: 47611743-47635062) and CNVR_1101 (CHR14: 104248431-104830620) were not statistically associated with the risk for GDM (both P>0.05). However, CNVR_254 (CHR3: 10182703-10183872, a RR=1.83, 95% CI: 1.15-2.91) and CNVR_691 (CHR7: 150637053-150834539, a RR=1.73, 95% CI: 1.23-2.43) might be associated with an increased risk for GDM (all P<0.05). Conclusion:Adiponectin-related CNVR_254 (CHR3: 10182703-10183872) and CNVR_691 (CHR7: 150637053-150834539) might be risk factors for the incidence of GDM.

OBJECTIVE To explore the correlation between drug consumption index and diagnosis related groups (DRG) overspending cases,and provide a basis for hospitals to optimize the cost structure and strengthen the refined management.METHODS Based on the data of DRG patients enrolled in a third-grade class A hospital from September to November 2023,the multivariate Logistic regression model and restricted cubic spline (RCS) model were used to analyze the correlation of drug consumption index with DRG overspending cases and its threshold effect,respectively.At the same time,rational drug use evaluation was conducted based on the drug consumption index,precise cost control and management were carried out,and the changes in the main pharmaceutical indicators of the whole hospital were analyzed before control (January-June 2023) and after control (January-June 2024).RESULTS The results of multivariate Logistic regression analysis showed that long hospitalization days,high drug consumption index,transfer to other departments and combined diabetes mellitus were the risk factors for DRG overspending (P<0.05).The results of the RCS model showed that the drug consumption index had a non-linear relationship with DRG overspending.When the drug consumption index was ≥0.64,the drug consumption index was positively correlated with the risk of DRG overspending(P<0.05).Compared with the same period before the control,medical cost per time,drug cost per time and drug consumption index decreased significantly after the control (P<0.01).CONCLUSIONS The drug consumption index is a risk factor for DRG overruns,there is a non-linear relationship and threshold effect between it and DRG overruns.Each hospital can set a reasonable threshold and implement dynamic monitoring and intervention by comprehensively considering the actual drug usage,disease spectrum characteristics,and cost control targets,as well as factors such as medical quality,patient needs,and the payment capacity of medical insurance,which can effectively achieve precise control over drug usage.

As a supplement to randomized controlled trials， observational studies can provide evidence for the effectiveness of traditional Chinese medicine （TCM） treatment measures. They can also study influencing factors of diseases， etiology， and prognosis. However， there is a confounding effect due to the lack of randomization， which seriously affects the causal inference between the study factors and the outcome， resulting in confounding bias. Therefore， identifying and controlling confounding factors are key issues to be addressed in TCM observational studies. According to the causal network and the characteristics of TCM theory， confounding factors can be categorized into measured and unmeasured confounding factors. In addition， attention must be paid to identifying confounding factors and intermediate variables， as well as the interaction between confounding factors and study factors. For methods of controlling confounding factors， measured confounding factors can be controlled by stratification， multifactor analysis， propensity scores， and disease risk scores. Unmeasured and unknown confounding factors can be corrected using instrumental variable methods， difference-in-difference methods， and correction for underlying event rate ratios. Correcting and controlling confounding factors can ensure a balance between groups， and confounding bias can be reduced. In addition， methods such as sensitivity analysis and determination of interactions make the control of confounding factors more comprehensive. Due to the unique characteristics of TCM， observational studies of TCM face unique challenges in identifying and controlling confounding factors， including the ever-changing TCM treatment measures received by patients， the often-overlooked confounding effects in the four diagnostic information of TCM， and the lack of objective criteria for TCM evidence-based diagnosis. Some scholars have already conducted innovative explorations to address these issues， providing a methodological basis for conducting higher-quality TCM observational studies， so as to obtain more rigorous real-world evidence of TCM and gradually develop quality evaluation criteria for OS that are consistent with the characteristics of TCM.

OBJECTIVE To construct an insulin-resistant(IR)small intestinal organoid model of mice and study the protective effect of flavanomarein(FM)on the intestinal mucosal barrier in the model.METHODS ①Small intestinal organoid models of C57BL/6J and db/db of mice were constructed.The expressions of Ki-67,E-cadherin(E-cad),lysozyme(Lyz)and mucin-2(Muc-2)in small intestinal organ-oids were detected by 3D immunofluorescence.RT-qPCR was used to detect the expressions of fibro-nectin(Fn),glucagon-like peptide-1(GLP-1)and peotide YY(PYY)mRNA while Western blotting was used to detect the expressions of Fn,GLP-1 and PYY protein.The Lyz secretion level was detected by ELISA.② Small intestinal organoids were divided into five groups:C57BL/6J mice 'small intestinal organ-oids as the normal control group,db/db mice' intestinal organoids as the IR model group,db/db mice small intestinal organoids with flavanomarein 25,50 and 100 μmol·L-1 intervention for 48 h as IR model+ FM groups.RT-qPCR was used to detect the expression of Lyz mRNA while Western blotting was used to detect the expression of Lyz protein.RESULTS ① On the 6th day of small intestinal organoid culture,a ring structure with a clear luminal structure was formed and an IR mouse small intestinal organoid model was established.3D Immunofluorescence detection showed that the established small intestinal organoids all expressed Ki-67,E-cad,Lyz and MUC-2.Compared with the normal control group,the expres-sion of Fn mRNA in the IR model group was significantly increased(P<0.05)while the expressions of GLP-1 and PYY mRNA were significantly decreased(P<0.05).Compared with the normal control group,the expression of Fn protein in the IR model group was significantly decreased(P<0.05)while the expressions of GLP-1 and PYY protein were significantly increased(P<0.05).ELISA results showed that compared with the normal control group,the secretion levels of Lyz in the IR model group were signifi-cantly decreased(P<0.01).② RT-qPCR results showed that compared with the normal control group,the expression of Lyz mRNA in the IR model group was significantly decreased(P<0.01).Compared with the IR model group,the expression of Lyz mRNA in the IR model+FM 50 and 100 μmol·L-1 groups was significantly increased(P<0.05,P<0.01).Western blotting results showed that compared with the normal control group,the expression of Lyz protein in the IR model group was significantly decreased(P<0.01).Compared with the IR model group,the expression of Lyz protein in the IR model+FM 50 and 100 μmol·L-1 groups was significantly increased(P<0.05,P<0.01).CONCLUSION The constructed IR mouse small intestinal organoid model provides a more complete in vitro research model for exploring the pathophysiological mechanism by which drug interventions help repair the intestinal mucosal barrier.FM may maintain the intestinal mucosal barrier by reversing the decrease in Lyz expression levels in IR mice,thereby improving IR.

Objective To systematically evaluate qualitative studies on the experience of transition from adolescent to adult medical care for patients with congenital heart disease(CHD),and to provide a reference for exploring CHD transition management options and developing intervention strategies.Methods A computerized search of PubMed,Embase,Web of Science,Cochrane Library,EBSCO,CINAHL,China Knowledge Network,Wanfang database,Vipshop database,and China Biomedical Literature Database for qualitative studies on the transition experience of CHD patients from adolescence to adult medical care was conducted for the period from the establishment of the database to April 2023.The quality of the literature was evaluated using the Joanna Briggs Institute(JBI)Australian Centre for Evidence-Based Health Care Quality Assessment Criteria for Qualitative Research(2016),and the results were integrated using meta-integration methods.Results A total of 9 studies were included,and 49 research results were extracted,and 11 categories were summarized.The final synthesis included 4 integrated results:①Complex attitudes towards healthcare transition,with both attachment and expectation:attachment to paediatric healthcare providers,expectation of transition to adult healthcare providers.(2)Facing multiple healthcare transition challenges:lack of adequate preparation for healthcare transition,parents withdrawing from the role of disease manager,large differences in services between paediatric and adult healthcare providers.③Expect to receive multiple supports:expect to receive comprehensive health education from healthcare personnel,expect healthcare institutions to set up healthcare transition counselling clinics and achieve handover of illness,expect to receive companionship and support from parents,expect to receive understanding and help from peers.④ Per-ceived benefits of medical transition:increased ability to manage illness,role change and personal growth.Conclusion Adolescents with CHD have a complex experience of transitioning to adult healthcare,and healthcare professionals should be attentive to their feelings,encourage them to deal with challenges positively,and provide adequate information and joint parental and peer support to facilitate a smooth transition to adult healthcare for adolescents.