ObjectiveTo investigate the features of serum HBV RNA in different stages of the natural history of chronic hepatitis B virus （HBV） infection without antiviral treatment， as well as its correlation with serum HBV DNA and HBsAg. MethodsA total of 306 treatment-naïve patients with chronic HBV infection who attended Department of Infections Diseases and Hepatoloty， the Second Hospital of Shandong University from January 2023 to June 2024 were divided into six groups based on the different stages of natural history， i.e.， HBeAg-positive chronic HBV infection group with 29 patients， HBeAg-positive chronic hepatitis B （CHB） group with 107 patients， HBeAg-negative chronic HBV infection group with 18 patients， HBeAg-negative CHB group with 60 patients， HBeAg-positive indeterminate-phase chronic HBV infection group with 7 patients， and HBeAg-negative indeterminate-phase chronic HBV infection group with 85 patients. Real-time isothermal RNA amplification was used to measure serum high-sensitivity HBV RNA. The Kruskal-Wallis H test was used for comparison between multiple groups of continuous data， while the Mann-Whitney U test was used for comparison between two groups. The Spearman method was used to investigate the correlation of HBV RNA with HBV DNA and HBsAg. ResultsThe HBeAg-positive chronic HBV infection group showed the highest level of serum HBV RNA ［7.5 （7.4‍ ‍—‍ ‍7.9） log₁₀ copies/mL］， followed by the HBeAg-positive CHB group ［7.4 （6.4‍ ‍—‍ ‍7.9） log₁₀ copies/mL］， the HBeAg-negative CHB group ［4.5 （3.0‍ ‍—‍ ‍5.7） log₁₀ copies/mL］， and the HBeAg-negative chronic HBV infection group ［1.0 （1.0‍ ‍—‍ ‍2.0） log₁₀ copies/mL］； the HBeAg-positive indeterminate-phase chronic HBV infection group had a serum HBV RNA level of 3.9 （3.7‍ ‍—‍ ‍5.7） log₁₀ copies/mL， and the HBeAg-negative indeterminate-phase chronic HBV infection group had a serum HBV RNA level of 2.0 （1.0‍ ‍—‍ ‍3.0） log₁₀ copies/mL； there was a significant difference in serum HBV RNA level between the six groups （H=830.770， P<0.001）. There was a significant difference in HBV RNA level between the HBeAg-positive chronic HBV infection group and all the other groups except the HBeAg-positive CHB group （all P<0.001）. In the 306 patients with HBV infection， HBV RNA was strongly correlated with HBV DNA （r=0.92， P<0.001） and was moderately correlated with HBsAg （r=0.67， P<0.001）. The correlation between serum HBV RNA and HBsAg in HBeAg-positive patients （r=0.61， P<0.001） was stronger than that in HBeAg-negative patients （r=0.31， P<0.001）. For the patients with HBeAg-positive chronic HBV infection， the male patients with ALT>30 U/L and the female patients with ALT>19 U/L had a significantly lower serum HBV RNA level than the male patients with ALT≤30 U/L and the female patients with ALT≤19 U/L （P<0.001）， and there was no significant difference in serum HBV RNA level between the latter group of patients and the HBeAg-positive CHB group （P>0.05）. ConclusionIn patients with chronic HBV infection who do not receive antiviral therapy， there is a difference in serum HBV RNA level in different stages of natural history， and serum HBV RNA level has the strongest correlation with HBV DNA and a relatively weak correlation with HBsAg. In patients with HBeAg-positive chronic HBV infection， serum HBV RNA level in male patients with ALT>30 U/L and female patients with ALT>19 U/L are in the transition stage between HBeAg-positive chronic HBV infection and HBeAg-positive CHB.

OBJECTIVE To evaluate the influence of pharmaceutical quality control on the efficiency and outcomes of standardized medication therapy management （MTM） services for patients with coronary heart disease by using Economic， Clinical and Humanistic Outcomes （ECHO） model. METHODS This study collected case data of coronary heart disease patients who received MTM services during January-March 2023 （pre-quality control implementation group， n＝96） and June-August 2023 （post-quality control implementation group， n＝164）. Using propensity score matching analysis， 80 patients were selected from each group. The study subsequently compared the economic， clinical， and humanistic outcome indicators of pharmaceutical services between the two matched groups. RESULTS There were no statistically significant differences in baseline data between the two groups after matching （P＞0.05）. Compared with pre-quality control implementation group， the daily treatment cost （16.26 yuan vs. 24.40 yuan， P＜0.001）， cost-effectiveness ratio [23.12 yuan/quality-adjusted life year （QALY） vs. 32.32 yuan/QALY， P＜0.001]， and the incidence of general adverse drug reactions （2.50% vs. 10.00%， P＝0.049） of post-quality control implementation group were decreased significantly； the utility value of the EuroQol Five-Dimensional Questionnaire （0.74± 0.06 vs. 0.71±0.07， P＝0.003）， the reduction in the number of medication related problems （1.0 vs. 0.5， P＜0.001）， the medication adherence score （[ 6.32±0.48） points vs. （6.10±0.37） points， P＝0.001]， and the satisfaction score （[ 92.56±1.52） points vs. （91.95±1.56） points， P＝0.013] all showed significant improvements. Neither group experienced serious adverse drug reactions. There was no statistically significant difference in the incidence of new adverse reactions between the two groups （1.25% vs. 3.75%， P＝0.310）. CONCLUSIONS Pharmaceutical quality control can improve the quality of pharmaceutical care， and the ECHO model can quantitatively evaluate the effect of MTM services， making pharmaceutical care better priced and more adaptable to social needs， thus being worthy of promotion.

OBJECTIVE To investigate the construction and practice of a drug traceability code management system in pediatric hospitals， providing a reference for promoting drug traceability code collection in healthcare institutions. METHODS Taking the outpatient pharmacy of our hospital as the research subject， a drug traceability code management system was constructed through the upgrade of the hospital information system （HIS）， process optimization， and human-machine collaboration mechanism. The PDCA （plan-do-check-act） cycle management method was applied to continuously optimize this system. Based on operational data from March 2024 to February 2025， the changes in the collection rate of drug traceability codes were analyzed， and the differences in the average patient pickup time， the average pharmacist dispensing time， and the dispensing error rate were compared before and after the implementation of the system. RESULTS In the initial period of trial operation of the drug traceability code management system（June 2024）， the collection rate of drug traceability codes was 57.17%， which subsequently improved to 93.52% by February 2025 following process optimization. Compared with the pre-implementation period （March-May 2024）， there was no significant difference （P＞0.05） in the average patient pickup time during the stable run-in period （August-October 2024）； the overall average pharmacist dispensing time increased significantly （P＜0.001）， but the clinical significance of this increase （0.42 s） was limited； stratified analyses showed a significant increase in the average pharmacist dispensing time for prescriptions involving chronic disease multidrug combinations （[ 23.29±6.83） s vs. （17.87±3.64 ） s， P＜0.001]； the dispensing error rate was reduced from 0.13‰ to 0.03‰ （P＝0.038）. CONCLUSIONS By adopting the strategy of “system reconstruction-process reengineering-human-machine collaboration”， our hospital has successfully established a drug traceability code management system. While complying with national regulatory requirements， we have maintained service efficiency and reduced the medication dispensing error rate.

Objective To explore the influencing factors of cognitive impairment in non-dialysis patients with chronic kidney disease(CKD).Methods A total of 60 hospitalized non-dialysis patients with CKD in the Department of Nephrology of Northern Jiangsu People's Hospital Affiliated to Yangzhou University from September 2022 to September 2023 were enrolled as research objects.According to the estimated glomerular filtration rate(eGFR),they were divided into stage 1 to 2 of CKD group[eGFR ≥60 mL/(min·1.73 m2)]with 23 cases,the stage 3 of CKD group[eGFR 30～＜60 mL/(min·1.73 m2)]with 20 cases,and stage 4 to 5 of CKD group[eGFR＜30 mL/(min·1.73 m2)]with 17 cases.The Montreal Cognitive Assessment Scale(MoCA)was used to evaluate the cognitive function of the patients.Basic data and common clinical laboratory in-dicators on hospital admission were collected to analyze the differences in cognitive function levels under different renal function statuses and to explore the influencing factors of cognitive impairment.Results The incidence rates of cognitive impairment in the stage 1 to 2 of CKD group,stage 3 of CKD group,and stage 4 to 5 of CKD group were 47.8％,85.0％,and 94.1％respectively,the median MoCA scored 26,24 and 20 respectively,with statistically significant between-group differ-ences(P＜0.05).Cognitive function was significantly negatively correlated with age(r=-0.634,P＜0.001),blood urea nitrogen(BUN)(r=-0.574,P＜0.001),serum creatinine(Cr)(r=-0.417,P＜0.001),cystatin C(Cys-C)(r=-0.327,P=0.011),serum β2-microglobulin(β2-MG)(r=-0.259,P=0.046),and N-terminal pro-brain natriuretic peptide(NT-proBNP)(r=-0.474,P＜0.001),and was significantly positively correlated with hemoglobin(HB)(r=0.401,P=0.001)and eGFR(r=0.485,P＜0.001).Multivariate Logistic regression analysis showed that age(P=0.006)and NT-proBNP(P=0.041)were influencing factors of cognitive im-pairment in non-dialysis patients with CKD.Receiver operating characteristic(ROC)curve analysis showed that the area under the curve(AUC),sensitivity,and specificity of age for prediction were 0.860,0.864 and 0.812 respectively,the AUC,sensitivity,and specificity of NT-proBNP for pre-diction were 0.808,0.795 and 0.875 respectively,and the combined prediction of age and NT-proBNP had an AUC,sensitivity,and specificity of 0.893,0.955,and 0.750,respectively.Conclusion As renal function deteriorates,the incidence rate and severity of cognitive impairment in non-dialysis patients with CKD tend to increase.Advanced age,renal function deterioration,high NT-proBNP level,and anemia are associated with the occurrence of cognitive impairment in non-di-alysis patients with CKD,among which age and NT-proBNP are influencing factors for cognitive im-pairment.

Objective To systematically review the risk prediction models for postoperative pancreatic fistula(POPF)after pancreaticoduodenectomy(PD),and to provide a reference for the clinical screening and application of POPF-related risk models.Methods This study was conducted according to the PRISMA guidelines,with a PROSPERO registration number of CRD42023437672.PubMed,Scopus,Embase,Web of Science,the Cochrane Library,CNKI,VIP,Wanfang Data,China Medical Journal Full-text Database,and CBM were searched for studies on establishing risk prediction models for POPF after PD published up to April 26,2024.The PROBAST tool was used to assess the quality of articles,and RevMan 5.4 and MedCalc were used to perform the Meta-analysis.Results A total of 36 studies were included,involving 20 119 in total,and the incidence rate of POPF after PD was 7.4%—47.8%.A total of 55 risk prediction models were established in the 36 articles,with an area under the receiver operating characteristic curve(AUC)of 0.690-0.952,among which 52 models had an AUC of>0.7.The quality assessment of the articles showed high risk of bias and good applicability.MedCalc was used to perform a statistical analysis of AUC values,and the results showed a pooled AUC of 0.833(95%confidence interval:0.808-0.857).The Meta-analysis showed that body mass index,amylase in drainage fluid on the first day after surgery,preoperative serum albumin,pancreatic duct diameter,pancreatic texture,fat score,tumor location,blood loss,sex,time of operation,main pancreatic duct index,and pancreatic CT value were predictive factors for POPF(all P<0.05).Conclusion The risk prediction models for POPF after PD is still in the exploratory stage.There is a lack of calibration methods and internal validation for most prediction models,and only the univariate analysis is used to for the screening of variables,which leads to the high risk of bias.In the future,it is necessary to improve the methods for model establishment,so as to develop risk prediction models with a higher prediction accuracy.

The aim of this study was to investigate the effects of high-intensity interval training(HIIT)on lipopolysaccharide(LPS)-induced septic myocardial injury in mice and the roles of NLRP3 inflammasome and macrophage M1 polarization in the process.C57BL/6 male mice were randomly divided into 4 groups:control(CON)group,LPS(L)group,HIIT+saline injection(E)group,and HIIT+LPS(EL)group.Six weeks of HIIT intervention was followed by intraperitoneal injection of LPS,and cardiac function indexes were measured by echocardiography 12 hours post the injection.Hematoxylin-eosin(HE)staining was used to evaluate the morphology and pathological characteristics of myocardium for assessing myocardial damage score;enzyme-linked immunosorbent assay(ELISA)was used to test the content of myocardial damage indicators(AST,CK-MB,LDH);RT-PCR was used to detect the relative mRNA levels of NLRP3 inflammasome(NLRP3,Caspase-1),atrial natriuretic peptide(ANP),brain natriuretic peptide(BNP),myeloperoxidase(MPO)and macrophage M1-associated inflammasome factors(IL-1β,TNF-α,IL-6);Western blot was applied to measure the protein expression of inducible nitric oxide synthase(iNOS)and apoptosis-associated speck-like protein containing a caspase recruitment domain(ASC)in cardiac tissues;immunofluorescence staining was used to detect the protein expression of NLRP3 inflammasome,ASC,IL-18 and iNOS.Compared with the CON group,mice in the LPS group showed obvious decrease in body weight,a significant decrease in EF and FS,a significant increase in LVESD and LVEDD,obvious pathological damage in myocardial tissue,a significant increase in myocardial damage fraction,a significant increase in serum myocardial damage indexes,and a significant increase in the expression levels of BNP,MPO,NLRP3 inflammasome,iNOS,IL-1β,IL-6 and TNF-α.HIIT treatment could reverse these changes mentioned above in model mice.In conclusion,6 weeks of HIIT inhibits the activation of LPS-induced NLRP3 inflammasome and suppressed macrophage M1-type polarization,thereby combating septic myocardial injury.

Objective:To systematically integrate the qualitative research on effective pain management disorders of cancer patients and caregivers, and to provide reference for patients and caregivers to safely and effectively implement cancer pain management.Methods:The qualitative studies on the experiences and obstacles of cancer patients and caregivers in cancer pain management were retrieved from electronic databases of PubMed, Web of Science, Cochrane Library, Embase, CINAHL, China National Knowledge Infrastructure, China Biology Medicine, VIP and Wanfang data from inception to September 2023. The quality of the literature was evaluated according to Joanna Briggs Institute Evidence Based Healthcare Center Critical Appraisal Tool for qualitative studies in Australia. Meta-synthesis was used to conduct the synthesis.Results:A total of 9 articles were included, and 46 research results were extracted, forming 14 categories, which were further summarized into 4 integrated results: patient-related pain management disorders, caregiver-related pain management disorders, medical staff-related pain management disorders, and health care system-related pain management disorders.Conclusions:Multiple factors cause obstacles for cancer patients and caregivers to participate in pain management. Medical staff should have a deep understanding of patients′pain problems and explore pain management plans and interventions suitable for cancer patients, so as to reduce the degree of cancer pain management obstacles.

Electronic Health Records (EHRs) are digital health tools that support comprehensive care and digital services. This paper provides an overview of EHRs, summarizes their current applications in palliative care, and proposes solutions to address issues in the use of EHRs in this field. The aim is to offer reference points for promoting the application of EHRs in palliative care in China.

Urachal carcinoma (UrC)is a rare urological malignancy. UrC is not obvious in its early symptoms, and is mostly in the advanced stage at diagnosis, with a poor prognosis. Surgical treatment was preferred by partial cystectomy + resection of complete umbilical and umbilical urinary catheter ± pelvic lymph node dissection, and more than 90% of UrC were confirmed as adenocarcinoma through postoperative pathology. Systemic treatment is often based on treatment protocols for bladder adenocarcinoma or colorectal adenocarcinoma.This article reviews recent domestic and international research on UrC, summarizing its incidence, clinical characteristics, diagnosis, and treatment.

OBJECTIVES: To explore ferroptosis-related genes in osteoporosis through bioinformatic analysis and in vitro study. METHODS: Osteoporosis-related genes were identified from dataset GSE35958 in the Gene Expression Omnibus database; and the ferroptosis-related genes were identified from the FerrDb database. These were intersected with the differentially expressed genes in GSE35958 to obtain ferroptosis-related genes in osteoporosis. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were performed for the differentially expressed genes. And Spearman correlation and protein-protein interaction network analysis were performed. Then, the hub genes of ferroptosis in osteoporosis were screened by Degree, MNC, EPC, MCC and DMNC in Cytoscape software CytoHubba plugin; and analyzed with receiver operating characteristic (ROC) curves. The bone marrow mesenchymal stem cells from osteoporosis patients (osteoporosis group) and non-osteoporosis patients (control group) were subjected to quantitative reverse transcription polymerase chain reaction to detect the messenger RNA expression of ferroptosis hub genes in both groups. RESULTS: A total of 32 differentially expressed genes related to ferroptosis in osteoporosis were identified, including 26 up-regulated genes and 6 down-regulated genes. GO enrichment analysis showed that the identified genes were mainly involved in intercellular adhesion, lipid metabolism and cytokine response. KEGG enrichment analysis showed that the genes were mainly involved in signaling pathways of adhesive plaques, MAPK, PI3K-Akt, and Wnt. Spearman correlation analysis showed correlation among differentially expressed genes. Six hub genes for ferroptosis in osteoporosis were obtained, namely MAPK3, CDKN1A, MAP1LC3A, TNF, RELA, and TGF-β1. ROC curve analysis showed that these hub genes had good diagnostic performance in osteoporosis and may become potential biomarkers of osteoporosis. In vitro experiments confirmed significant differences in these hub genes between the control group and the osteoporosis group (all P<0.05). CONCLUSIONS This study has identified six ferroptosis-related hub genes in osteoporosis, which may be used as novel biomarkers for the early diagnosis and treatment of osteoporosis.
Osteoporosis/genetics* ; Humans ; Computational Biology ; Ferroptosis/genetics* ; Protein Interaction Maps/genetics* ; Gene Ontology ; Mesenchymal Stem Cells/metabolism* ; Gene Expression Profiling ; Databases, Genetic