[Objective] To analyze the influencing factors of repeat blood donor lapsing using a zero-inflated poisson regression model (ZIP). [Methods] The blood donation behavior of 12 498 whole blood donors from 2020 was tracked until December 31, 2023. The factors influencing the frequency of blood donations in a given year was analyzed using ZIP, and donors with 0 blood donation in that year were considered to have lapsed. The changes in relevant influencing factors associated with each blood donation were measured and modeled for analysis. [Results] The zero-inflated part of ZIP showed that the risk of lapsing of male blood donors was 2.24 times that of female blood donors (OR 95% CI:1.864-2.696, P<0.001); the risk of lapsing of the 35-44 age group and over 45 age group was respectively 40% (OR 95% CI:0.455-0.790, P<0.001) and 61%(OR 95% CI:0.268-0.578, P<0.001) lower than that of the under 25 age group; the risk of lapsing for those who have donated blood twice and ≥3 times was respectively 50% (OR 95% CI:0.405-0.609, P<0.001) and 81% (OR 95% CI:0.154-0.225, P<0.001) lower than that of first-time donors; the risk of lapsing of those with junior high or high school education was 1.2 times that of those with a college degree or higher (OR 95% CI:1.033-1.384, P<0.05); the risk of lapsing for the divorced group was 2.02 times that of the married group (OR 95% CI:1.445-2.820, P<0.001); the risk of lapsing for those with an income (Yuan) of 10 000 to 50 000, 50 000 to 100 000 and more than 100 000 was respectively 0.67 (OR 95% CI:0.552-0.818, P<0.001), 0.72 (OR 95% CI:0.591-0.884, P=0.002) and 0.67 (OR 95% CI:0.535-0.834, P<0.001) times that of those with an income (Yuan) of less than 10 000. The results of the Poisson part are consistent with the results of the zero-inflated part in terms of age and education level. [Conclusion] Blood donor lapsing is overall related to factors such as gender, age, donation frequency, education, marital status and family income. It's essential to care for those blood donors prone to lapse to retain more regular blood donors.

Objective : To investigate the regulatory mechanism of nucleotide excision repair(NER) in hepatocellular carcinoma(HCC). Methods : Based on the expression levels of genes in the NER pathway, we performed molecular typing of HCC using the TCGA database. HCC cell lines were constructed through the knockdown of RNA binding motif protein 39(RBM39) using siRNA. HCC cell lines were constructed through the overexpression ofRBM39usingRBM39plasmid. Cells were treated with Indisulam, a reagent that induces RBM39 protein degradation. Western blot and real-time fluorescence quantitative PCR were used to detect the expression levels and changes of mRNA and protein of RBM39 and excision repair cross complementation group 1(ERCC1); flow cytometry was used to detect NER efficiency; CCK-8 assay was used to detect cell viability. Results : HCC patients were categorized into three types—C1, C2, and C3—based on NER activity, with the C3 subtype showing the highest NER activity(P<0.000 1). In the groups transfected with RBM39 siRNA or treated with Indisulam, the NER repair efficiency decreased compared to the control group(P<0.01), the cell survival rate decreased(P<0.01), and both the mRNA and protein expression of ERCC1 were reduced(P<0.01). In contrast, in the RBM39 overexpression group, the mRNA and protein expression of ERCC1 were enhanced compared to the control group(P<0.01). Conclusion RBM39 may influence NER repair efficiency by regulating ERCC1 expression in HCC.

Objective:To investigate the alterations in the topological properties of gray matter and white matter dynamic and static functional brain networks in patients with major depressive disorder (MDD) and bipolar depression (BDD) using graph theory analysis, and to evaluate the potential of their combination as biomarkers for differential diagnosis between unipolar and bipolar depression.Methods:From March 2021 to April 2024, inpatients were recruited from the Department of Psychosomatic Medicine, Zhongda Hospital, Southeast University, including 132 patients with MDD, 84 patients with BDD, and 91 healthy controls (HCs). Resting-state structural and functional MRI data were collected, and dynamic and static functional brain networks of gray matter and white matter were constructed. Graph theory analysis was applied to calculate global and nodal network properties, differences in topological attributes among the three groups were compared by One-way analysis of covariance, and Turkey′s post hoc test was used for further pairwise comparison. The network topology attribute indicators with statistically significant inter-group differences were selected using the Least Absolute Shrinkage and Selection Operator regression (LASSO) for feature classification. The diagnostic performance of combined gray and white matter network features for distinguishing MDD from BDD was assessed using receiver operating characteristic (ROC) curves and a random forest model.Results:In the analysis of the static gray matter functional network, both MDD and BDD patients showed abnormal local topological properties. Compared with HCs, the MDD group exhibited abnormal betweenness centrality (BC) in the left inferior frontal gyrus, left precuneus, left ventromedial occipital cortex, right ventromedial occipital cortex, and right anterior thalamus ( t=-3.95-3.62, all P<0.05). The degree centrality (DC) of the left and right anterior thalamus was also abnormal in the MDD group ( t=3.78,4.14, both P<0.001), as was the nodal efficiency (Ne) of the left precuneus and bilateral anterior thalamus ( t=2.37, 3.61, 3.82, all P<0.05). Compared with HCs, the BDD group showed abnormalities in DC and Ne of the left precuneus ( t=-2.76, P=0.014; t=-3.01, P=0.007). In the analysis of the dynamic white matter functional network, both MDD and BDD patients demonstrated abnormal temporal variability of local topological properties. Compared with HCs, the MDD and BDD groups showed reduced BC temporal variability in the left superior corona radiata ( t=-2.39, P=0.047; t=-4.28, P<0.001), and there were significant differences in DC temporal variability in the right posterior limb of the internal capsule and lentiform nucleus ( t=2.65, P=0.021; t=3.49, P=0.001) in MDD group compared with HCs and BBD. The differential diagnosis model combining gray and white matter dynamic and static network topological features achieved an area under the ROC curve of 0.80. Conclusion:Both MDD and BDD exhibit altered topological properties in static gray matter functional networks and dynamic white matter functional networks. The combination of these features may aid in the differential diagnosis of MDD and BDD.

Objective:To investigate the sero-conversion rate of HIV antibody and influencing factors in cross-border couples in Dehong Dai and Jingpo Autonomous Prefecture(Dehong).Methods:A cohort design was used to recruit HIV-negative people in cross-border couples in Dehong in 2017. Follow-up was conducted in 2023, and questionnaire survey and HIV test were carried out to calculate the sero-conversion rate of HIV antibody. Univariate and multivariate logistic regression models were used to analyze the influence factors for HIV infections.Results:A total of 36 278 HIV-negative persons in cross-border couples were included in the 2017 baseline survey, of whom 22 438 (61.9%) were tested in follow-up in 2023. The sero-conversion rate between 2017 and 2023 was 0.51% (115/22 438). Multivariate logistic regression analysis showed that length of marriage <6 years, Jingpo ethnic group, education level of primary school or below, drug use, illegal marriage and HIV infected spouse were the risk factors of HIV infection in male spouses, and length of marriage <6 years, Jingpo ethnic group, illegal marriage and HIV infected spouse were the risk factors in female spouses.Conclusions:The sero-conversion rate of HIV antibody in cross-border couples in Dehong was relatively high. HIV infection was mainly caused by secondary transmission in the couples, and men might also be infected through drug use. It is necessary to strengthen the registration and management of cross-border couples, especially the couples with discordant HIV infection status, and the intervention in drug users to reduce the risk for secondary transmission of HIV in the cross-border couples.

Objective:To explore the trend of influenza positive rate in Beijing by using classic autoregressive integrated moving average (ARIMA) model, autoregressive integrated moving average model with exogenous variables (ARIMAX) and vector autoregression model (VAR) to compare the performance of three models in influenza prediction and select the most suitable one for Beijing.Methods:The weekly positive rate of influenza virus nucleic acid test and meteorological data in Beijing from week 1 of 2013 to week 40 of 2024 were collected. The data were divided into four groups with expanding training sets and corresponding testing sets. The training set of the first group was from week 1 of 2013 to week 40 of 2016, and the testing set was from week 41 of 2016 to week 40 of 2017. Subsequent groups extended the training set by one year each time. Data from 2020 to 2023 were excluded due to COVID-19 pandemic. The fourth group used data from the week 1 of 2013 to week 40 of 2023 for training and from the week 41 of 2023 to week 40 of 2024 for testing.Results:The incidence of influenza had seasonality in Beijing with higher incidence in winter and spring. The positive rate of influenza virus was positively correlated with the weekly average atmospheric pressure ( r=0.482, P<0.001) and weekly average wind speed ( r=0.003, P=0.034), and negatively correlated with the weekly average temperature ( r=-0.541, P<0.001). The ARIMAX model incorporating meteorological factors had the best prediction performance, with test set's root mean square error ( RMSE) of 0.115 3 and mean absolute error ( MAE) of 0.076 7 (the RMSE and MAE values for ARIMA and VAR models were 0.117 1 and 0.163 8, and 0.078 6 and 0.122 3, respectively). The prediction results of the optimal model showed that the positive rate of influenza virus would continue to rise in Beijing after October 2024 and reach peak in the second week of 2025, but the peak positive rate would be lower than that of previous influenza season. Conclusions:Compared with the ARIMA model and the VAR model,the ARIMAX model which used meteorological parameters is more suitable for prediction of long-term influenza trend in Beijing. The influenza trend peak was predicted to occur in the second week of 2025, but lower than that in previous influenza season.

Objective:To determine the clinical issues in the Clinical practice guidelines for postoperative pain management in adults (2024 edition). Methods:A preliminary list of clinical issues for the guidelines was developed through literature review, clinical surveys, and expert interviews. This was followed by two rounds of Delphi questionnaire surveys, with quality control and statistical analysis conducted using expert positive coefficient, mean item scores, full score ratio, coefficient of variation, Cronbach′s α coefficient, and expert authority level to finalize the list of clinical issues.Results:The experts participating in the Delphi questionnaire surveys had multidisciplinary collaborative backgrounds and regional representativeness, with a high level of authority. The overall positive coefficient of expert participation in the surveys was 78.9%. Through two rounds of the Delphi method and based on the screening criteria of a mean score ≥3.5, coefficient of variation ≤30%, and full score ratio ≥30%, 17 clinical issues were ultimately included following an expert consensus meeting.Conclusions:Through the Delphi method and rigorous quality control, the clinical issues in the Clinical practice guidelines for postoperative pain management in adults (2024 edition) are determined, laying a foundation for the subsequent development of the guidelines.

Objective:To investigate the incidence and influencing factors of optic disc changes in children and adolescents with high myopia.Methods:A clinical cross-sectional study. A total of 162 children and adolescents with high myopia (162 eyes) who visited Department of Ophthalmology, Northern Jiangsu People's Hospital Affiliated to Yangzhou University from January to April 2025 were included in this study. Myopia refractive error ≥6.00 D and/or axial length (AL) ≥26 mm. All participants underwent best-corrected visual acuity, refraction, fundus color photography, swept-source optical coherence tomography (SS-OCT), and AL measurement. Subfoveal choroidal thickness (ChT) was measured within 1 mm using SS-OCT. Optic disc changes assessed included tilt, rotation, peripapillary atrophy (PPA), and peripapillary hyperreflective ovoid mass-like structures (PHOMS). The patients were divided into the children group (4-11 years old) and the adolescents group (12-18 years old) based on age, with 63 (38.9%, 63/162) and 99 (61.1%, 99/162) cases respectively. The incidence of ocular features and optic disc morphology changes in the two groups was compared and observed. According to the myopia diopter, the patients were divided into the high diopter long axial group (myopia diopter ≥6.00 D, AL≥26 mm) and the low diopter long axial group (myopia diopter <6.00 D, AL≥26 mm), with 85 (52.5%, 85/162) and 77 (47.5%, 77/162) eyes respectively. The incidence of optic disc morphological changes in the two groups was compared and observed. The comparison of quantitative data between groups was conducted using the Mann-Whitney U test. Multivariate logistic regression was used to analyze the correlations between PPA, optic disc tilt, PHOMS occurrence and gender, age, diopter, AL, and ChT. Results:Among the 162 patients, 103 were male and 59 were female. Age was 12 (10.5, 13.5) years old. Among the 162 eyes, the optic disc morphology changed in 152 eyes (93.8%, 152/162). Among them, the PPA, optic disc tilt, PHOMS, and optic disc rotation were 148 (91.4%, 148/162), 95 (58.6%, 95/162), 62 (38.3%, 62/162), and 35 (21.6%, 35/162) eyes respectively. Myopic macular degeneration in 137 eyes. There were 56 eyes with peripheral retinopathy. There was no statistically significant difference in myopia diopter, AL and ChT between the children group and the adolescent group ( Z=-1.201, -1.934, ?0.761; P=0.230, 0.053, 0.447). There was no statistically significant difference in the incidences of PPA, optic disc tilt and optic disc rotation ( χ2=0.293, 2.618, 0.398; P>0.05). There was no statistically significant difference in the incidence of optic disc morphological changes between the low diopter long axial group and the high diopter long axial group ( χ2=0.000, P>0.05). The results of multivariate logistic regression analysis showed that the thinner the ChT, the higher the risk of PPA [odds ratio (OR) =0.98, 95% confidence interval ( CI) 0.97-0.99, P<0.001]. Female ( OR=2.3, 95% CI 1.04-5.07, P=0.039), older age ( OR=1.17, 95% CI 1.01-1.37, P=0.043), thinner ChT ( OR=0.99, 95% CI 0.99-1.00, P=0.012), the higher the risk of optic disc tilt. The older the age, the higher the risk of developing PHOMS ( OR=1.22, 95% CI 1.06-1.40, P=0.006). Conclusions:Optic disc morphology changes may be the most common fundus alterations in children and adolescents with high myopia. The influencing factors of optic disc morphological changes (including PPA, optic disc tilt, and PHOMS) are female sex, advanced age, and ChT thinning.

Objective:To explore the diagnostic value of intratumoral area(ITA)and peritumoral area(PTA)ultrasound image-based bioin-formatics models for small breast cancer.Methods:We retrospectively analyzed data of 305 breast lesions from 292 patients with small breast nodules(diameter≤2 cm)who were treated at People's Hospital of Xinjiang Uygur Autonomous Region between January 2021 and January 2025.The lesions were randomly assigned into the training(214 lesions)and validation sets(91 lesions)in a 7:3 ratio.Radiomics fea-tures were extracted from the intertumoral area(ITA)and peritumoral area(PTA)regions at 2,4,6,and 8 mm,followed by feature selection and dimensionality reduction.A Logistic regression(LR)algorithm was used to construct a model.The performance of the models were eval-uated via receiver operating characteristic(ROC)curve analysis,Hosmer-Lemeshow test,and decision curve analysis(DCA).Results:In the training set,the areas under the ROC curves(AUC)for the ITA,2 mm PTA,and 2 mm fusion models were 0.869,0.897,and 0.909,respect-ively.In the test set,these respective AUC values were 0.813,0.825,and 0.840.For breast lesions≤2 cm,<1 cm,and 1-2 cm,the overall ac-curacies of the 2 mm fusion model were 81.0%,82.7%,and 80.1%,respectively,whereas the respective overall accuracies of BI-RADS were 76.4%,81.7%,and 73.6%.Conclusions:ITA and PTA ultrasound imaging-based radiomics models had a high diagnostic value for small breast cancers.The fusion model can effectively improve predictive performance,outperforming the BI-RADS classification in diagnosing small breast lesions of different diameters.Thus,these models have the potential to serve as an auxiliary diagnostic tool in clinical practice.

Objective:To investigate the mechanism through which ginsenoside Re enhances lipid metabolism and mitochondrial function in H9C2 cardiomyocytes induced by high glucose and high fat, specifically by modulating AMP-activated protein kinase(AMPK)and specificity protein 1(Sp1).Methods:The H9C2 cardiomyocyte model was cultured in a high-glucose and high-lipid(HGHL)environment.Six groups were established: a control group(CON group), a model group(HGHL group), a ginsenoside Re 60 μmol/L group(Re 60 μmol/L), a model+ ginsenoside Re 20 μmol/L group(HGHL+ Re 20 μmol/L), a model+ ginsenoside Re 40 μmol/L group(HGHL+ Re 40 μmol/L), and a model+ ginsenoside Re 60 μmol/L group(HGHL+ Re 60 μmol/L).Cell morphology was assessed using hematoxylin and eosin(HE)staining, while intracellular oil and triglyceride content were evaluated using oil red O staining.Reactive oxygen species(ROS)levels were measured with a fluorescence kit, apoptosis was assessed using TUNEL staining, and the expressions of phosphorylated AMPK, Sp1, nuclear respiratory factor 1(Nrf1), and peroxisome proliferator-activated receptor gamma coactivator 1 alpha(PGC1α)were analyzed via Western blotting.Results:Compared to the control group, the model group exhibited significant increases in cell hypertrophy, ROS levels, apoptosis, and intracellular TG.Conversely, the expressions of pAMPK, Nrf1, and PGC1α were significantly decreased, while the expression of Sp1 was significantly increased( P<0.05).Compared to the model group, treatment with Ginsenoside Re at concentrations of 20 μmol/L, 40 μmol/L, and 60 μmol/L significantly improved cell hypertrophy, reduced ROS levels, alleviated apoptosis, and decreased intracellular TG levels.Additionally, the expressions of pAMPK, Nrf1, and PGC1α were significantly increased, while Sp1 expression was significantly decreased in a dose-dependent manner( P<0.05). Conclusions:Ginsenoside Re enhances lipid metabolism, mitigates mitochondrial oxidative stress, and reduces apoptosis in H9C2 cardiomyocytes induced by high glucose and high lipid conditions.This effect is associated with the regulation of AMPK and Sp1 proteins, leading to increased expressions of pAMPK, Nrf1, and PGC-1α, and decreased expression of Sp1.

Objective:To investigate the features of peripheral blood lymphocyte subsets in children with sepsis and evaluate the value of these cells in combination with multiple indicators in the diagnosis of pediatric sepsis.Methods:A retrospective study was conducted on 86 sepsis children and 83 children with local infection admitted to Hebei Children′s Hospital from October 2022 to October 2024. Baseline clinical data, peripheral blood lymphocyte subsets, and other laboratory indicators were compared between the two groups. The least absolute shrinkage and selection operator (LASSO) regression and multivariate logistic regression were used to evaluate the independent risk factors correlated with the initiation of sepsis. The receiver operating characteristic (ROC) curve was plotted to evaluate the value of each independent risk factor for diagnosing sepsis.Results:The thrombin time, the absolute counts of NK, CD3 + T, CD4 + T, and CD8 + T cells, the levels of IgG and IgM, and the counts of lymphocytes and platelets were lower in the sepsis children than in the children with local infection. However, the prothrombin time (PT), activated partial thromboplastin time, the levels of fibrinogen, direct bilirubin, and C-reactive protein (CRP) were higher in the sepsis group (all P<0.05). The variables screened by LASSO regression were analyzed by the multivariate logistic regression, and the results showed that PT, absolute CD4 + T cell count, and the levels of IgM and CRP were independent risk factors for sepsis. The ROC analysis indicated that the area under the ROC curve (AUC) for PT, absolute CD4 + T cell count, and IgM and CRP levels when used individually in diagnosing sepsis was 0.729, 0.593, 0.605, and 0.795, respectively. The AUC for the four indexes when used in combination for diagnosing sepsis reached 0.822, showing greater superiority over that of the single index. Conclusions:The combined measurement of PT, absolute CD4 + T cell count, and the levels of IgM and CRP can improve the diagnostic efficacy for sepsis in children. Early monitoring of these indexes facilitates the assessment of the condition in children suffering from sepsis.