Objective: To explore the impact of donor reentry experience, specifically among those with a single reactive serological result who completed the reentry process, on their willingness to return for future blood donation, and to examine the mediating roles of blood donation knowledge and trait anxiety. Methods: A cross-sectional survey was conducted between November and December 2025. A total of 386 blood donors from the Changsha Blood Center were categorized into a reentry group (n=123) and a control group (n=263). Data on demographic characteristics, blood donation knowledge (BDKQ), trait anxiety (STAI-T), and blood donation return intention (BDRIS) were collected via questionnaires. SPSS 27.0 and AMOS 28.0 were used for statistical analyses, including independent-samples t-test, one-way ANOVA, multiple linear regression, and path analysis for mediating effect testing. Results: There were statistically significant differences in age, occupation, education level, monthly income and donation frequency between the reentry group and the control group (all P<0.05). The reentry group scored significantly higher in blood donation knowledge and blood donation return intention than the control group (both P<0.05). The mean BDRIS score was 11.51±3.62, indicating a relatively high intention to return. Blood donation knowledge was significantly negatively correlated with trait anxiety (r=-0.15, P<0.05) and positively correlated with blood donation return intention (r=0.19, P<0.05); trait anxiety was significantly negatively correlated with blood donation return intention (r=-0.33, P<0.05). Significant differences in BDRIS scores were found based on group (reentry vs control), age, and number of previous donations (all P<0.05). Multiple linear regression showed that BDKQ positively predicted BDRIS (β=0.11, P<0.05), while STAI-T negatively predicted BDRIS (β=-0.27, P<0.05). Path analysis further revealed that the reentry experience had no direct effect on the intention to return. However, it exerted a positive influence through two indirect pathways: 1) a simple mediating effect via increased blood donation knowledge (β=0.17, accounting for 25.0% of the total effect), and 2) a chain mediating effect through "increased blood donation knowledge → decreased trait anxiety" (β=0.05, accounting for 8.1% of the total effect). The model fit indices reached the ideal fitting criteria. Conclusion: The donor reentry experience does not directly enhance the intention to return for blood donation. Rather, it may exert an indirect positive influence by increasing blood donation knowledge and through the sequential pathway of "increased knowledge → decreased trait anxiety". Blood collection institutions should leverage the reentry process as an opportunity for education and psychological support to improve donor retention rate.

Retinal vein occlusion(RVO)is the second most common blinding retinal vascular disease, and its secondary macular edema(ME)is an important cause of visual function impairment in patients. Intravitreal injection of anti-vascular endothelial growth factor(VEGF)drugs serves as the first-line treatment, yet it is confronted with such issues as the need for repeated injections and non-response in some patients. Imaging and laboratory biomarkers play a crucial role in the early accurate diagnosis, prediction of disease progression, and evaluation of visual prognosis of RVO-ME. This study systematically reviews the research progress of imaging and laboratory biomarkers related to the prognosis of RVO-ME after anti-VEGF treatment in recent years, covering imaging biomarkers like central retinal thickness and ellipsoid zone integrity, as well as laboratory biomarkers such as serum APLN and aqueous humor IL-6. It summarizes the associations between different biomarkers and the prognosis of anti-VEGF therapy, aiming to provide a basis for the early accurate assessment and optimization of individualized treatment for RVO-ME patients, which holds significant clinical reference value.

Objective To investigate the alterations of cerebral blood flow(CBF)in type 2 diabetic mellitus(T2DM) patients without cognitive impairment by using arterial spin labeling(ASL)technique.Methods A total of 23 T2DM patients without cognitive impairment and 23 healthy controls(HC)matched by age,sex,and education attainment were recruited.Their clinical data were collected,and neuropsychological tests and cerebral magnetic resonance imaging were performed.Then,the outcomes of clinical features,neuropsychological tests,and global and regional CBF were compared between the two groups.The significant regional zCBF(z-transformed relative CBF)values were extracted and correlated with clinical data and neuropsychological scores in T2DM patients,controlling age,sex,and education.Results No significant difference was found in whole brain CBF between the two groups(P=0.155),while significantly higher CBF was identified in the left superior temporal gyrus and left insula in the T2DM group(Gaussian random field correction,initial threshold P < 0.001,cluster level P < 0.05).No correlation was observed between the significant regional zCBF values and the clinical data or the neuropsychological scores in T2DM patients(all P>0.05).Conclusion Alterations in cerebral hemodynamics may precede cognitive function changes in T2DM,suggesting that the ASL technique is promising for early monitoring of cerebral hemodynamic changes associated with cognitive impairment in patients with T2DM.
Humans ; Diabetes Mellitus, Type 2/physiopathology* ; Cerebrovascular Circulation ; Middle Aged ; Male ; Female ; Magnetic Resonance Imaging ; Case-Control Studies ; Cognitive Dysfunction ; Neuropsychological Tests ; Aged

Immune checkpoint inhibitor-associated enterocolitis is an immune-related adverse reaction during tumor treatment with immune checkpoint inhibitors.In this article,we present the clinical data and ultrasound manifestations of a patient with immune checkpoint inhibitor-associated enterocolitis,aiming to share diagnostic and therapeutic insights.
Humans ; Immune Checkpoint Inhibitors/adverse effects* ; Enterocolitis/chemically induced* ; Ultrasonography ; Male

Objective To investigate the relationship between serum glucagon-like peptide-1(GLP-1),monocyte chemoattractant protein-1(MCP-1),insulin-like growth factor binding protein-3(IGFBP-3)and glycolipid metabolism,bone metabolism and microvascular complications(MC)in children with type 1 diabe-tes mellitus(T1DM).Methods A total of 211 children with T1DM(T1DM group)admitted to Handan Cen-tral Hospital,Xingtai Traditional Chinese Medicine Hospital,Baoding First Central Hospital and Handan Ma-ternal and Child Health Hospital from January 2021 to February 2023 were selected,patients were divided into MC group(63 cases)and non-MC group(148 cases)according to whether MC was complicated within 1 year,and 108 healthy children who underwent physical examination during the same period were selected as control group.The levels of serum GLP-1,MCP-1,IGFBP-3 and glucose and lipid metabolism indexes[fasting plasma glucose(FPG),fasting insulin(FINS),glycosylated hemoglobin(HbA1c),homeostasis model assessment of insulin resistance(HOMA-IR),total cholesterol(TC),triglyceride(TG),high density lipoprotein cholesterol(HDL-C),low density lipoprotein cholesterol(LDL-C)]and bone metabolism indexes[bone specific alkaline phosphatase(BALP),osteocalcin(OST),type I collagen cross-linked C-terminal peptide(CTX)]were detec-ted.The correlation between serum GLP-1,MCP-1,IGFBP-3 and glucose and lipid metabolism,bone metabo-lism in children with T1DM were analyzed by Pearson and Spearman correlation coefficient.Taking MC in children with T1DM as the dependent variable,the influencing factors were determined by multivariate uncon-ditional Logistic regression model,and the predictive value of serum GLP-1,MCP-1 and IGFBP-3 for MC were analyzed by receiver operating characteristic curve.Results The levels of serum GLP-1,FINS,HDL-C,BALP,OST and CTX in the T1DM group were lower than those in the control group,while the levels of MCP-1,IGFBP-3,FPG,HbA1c,HOMA-IR,TG and LDL-C in the T1DM group were higher than those in the control group,the differences were statistically significant(P<0.05).Serum GLP-1 in children with T1DM was negatively correlated with FPG,HbA1c,HOMA-IR,TG and LDL-C,and positively correlated with FINS,HDL-C,BALP,OST and CTX(P<0.05).MCP-1 and IGFBP-3 were positively correlated with FPG,HbA1c,HOMA-IR,TG and LDL-C,and negatively correlated with FINS,HDL-C,BALP,OST and CTX(P<0.05).Follow-up for 1 year,the incidence of MC in 211 children with T1DM was 29.86%(63/211).Elevated HbA1c,HOMA-IR,LDL-C,MCP-1 and IGFBP-3 were independent risk factors for MC in children with T1DM,and elevated GLP-1 was an independent protective factor(P<0.05).The area under the curve of ser-um GLP-1,MCP-1 and IGFBP-3 combined to predict MC in children with T1DM was 0.919,which was grea-ter than 0.781,0.788 and 0.794 predicted by serum GLP-1,MCP-1 and IGFBP-3 alone(P<0.05).Conclu-sion The decrease of serum GLP-1 level and the increase of MCP-1 and IGFBP-3 levels are related to glyco-lipid metabolism,bone metabolism disorder and MC in children with T1DM,the combined application of ser-um GLP-1,MCP-1 and IGFBP-3 has a good predictive value for MC in children with T1DM.

Objective To propose a dynamic early warning model based on machine learning methods and validate its predi-ctive efficacy so as to achieve precise assessment and early warning of mortality risk in patients with traumatic hypothermia.Methods Firstly,a total of 480 patients who met inclusion criteria were retrospectively selected from the eICU database and randomly divided into training and test sets at an 8∶2 ratio.Secondly,physiological parameters were extracted from these patients,and five machine learning algorithms including XGBoost,AdaBoost,LightGBM,logistic regression(LR)and random forest(RF)were employed respectively to develop dynamic mortality risk warning models for traumatic hypothermia patients,utilizing a 1-hour observation window.Thirdly,receiver operating characteristic curves(ROC)were plotted using the test set data and the effects of different warning windows on the model performance were analyzed by calculating the AUC.Finally,the interpretability of the models was analyzed using the SHapley Additive exPlanations(SHAP)algorithm to elucidate the contribution of each feature to predictive performance.Results The optimal warning window for the dynamic warning model constructed using the eICU database was 12 hours,and in case of 12-hour warning window the logistic regression model achieved the highest AUC of 0.935 and showed optimal predictive performance.The results of the interpretability analysis by the SHAP algorithm showed that body temperature was the feature that had the greatest impact on the model results,and its reduction was positively correlated with the increased risk of death.Conclusion The machine learning-based dynamic warning model for mortality risk in traumatic hypothermia patients enables real-time dynamic risk assessment,providing robust support for clinicians to identify the patient's condition changes at an early stage and references for the adjustment of clinical treatment programs.[Chinese Medical Equipment Journal,2025,46(3):9-14]

Objective::There is limited evidence regarding the choice of P2Y 12 receptor inhibitors as a component of dual antiplatelet therapy in patients with left main (LM) disease undergoing percutaneous coronary intervention (PCI). This study aimed to evaluate long-term clinical outcomes of ticagrelor- vs. clopidogrel-based dual antiplatelet therapy strategy in acute coronary syndrome (ACS) patients undergoing LM PCI. Methods::This is a post-hoc analysis from a prospective, single-center, real-world PCI registry. A total of 1,163 patients discharged post-ACS who underwent LM PCI and received ticagrelor or clopidogrel between March 2016 and March 2019 were included in the study. The primary endpoint was ischemic events at 12 months, including cardiac death, myocardial infarction, or stroke. Secondary outcomes included all-cause death and Bleeding Academic Research Consortium types 2, 3, and 5, and types 3 and 5 bleeding. Propensity score matching was used to adjust for bias due to confounders between the 2 groups.Results::The ticagrelor and clopidogrel groups comprised 529 (45.49%) and 634 (54.51%) patients, respectively. During the follow-up period, the rate of ischemic events was significantly lower with ticagrelor than with clopidogrel before (1.32% (7/529) vs. 3.63% (23/634), P = 0.013,6) and after propensity score matching (1.41% (6/425) vs. 4.00% (17/425), P = 0.020,1). The rates of all-cause death, Bleeding Academic Research Consortium-defined type 2, 3, and 5 bleeding, and type 3 and 5 bleeding were similar between the ticagrelor group and clopidogrel group before or after propensity score matching adjustment (all P > 0.05). Conclusion::Among patients with ACS undergoing LM PCI, ticagrelor use was associated with ischemic events benefit without excessive risk of bleeding at 12 months compared with clopidogrel.

Objective To investigate the influencing factors for the short-term prognosis of patients with alcohol-related liver diseases-acute-on-chronic liver failure(ALD-ACLF)comorbid with infection.Methods A total of 89 ALD-ACLF patients with infection who were admitted to the Fifth Medical Center of PLA General Hospital from January 2019 to December 2021 were enrolled as subjects,and related clinical data were collected at baseline(time of patient enrollment).According to the 28-day survival status of patients,they were divided into survival group with 53 patients and death group with 36 patients,and baseline clinical data were compared between the two groups.The t-test was used for comparison of normally distributed continuous data between groups,and the Wilcoxon rank-sum test was used for comparison of non-normally distributed continuous data between groups;the chi-square test was used for comparison of categorical data between groups.A non-conditional Logistic regression analysis was used to perform the multivariate analysis.The Z-test was used for comparison of the area under the ROC curve(AUC),and the diagnostic value of the model was assessed.Results Compared with the survival group,the death group had significantly higher hemoglobin(t=-2.397,P=0.019),alanine aminotransferase(Z=-3.437,P=0.001),gamma-glutamyl transpeptidase(Z=-2.617,P=0.009),creatinine(Z=-3.938,P<0.001),blood urea nitrogen(Z=-3.423,P=0.001),NH3(Z=-4.406,P<0.001),international normalized ratio(Z=-3.428,P=0.001),C-reactive protein(Z=-2.128,P=0.033),procalcitonin(Z=-2.441,P=0.015),Model for End-Stage Liver Disease(MELD)score(t=-4.817,P<0.001),incidence rate of acute kidney injury(χ2=21.602,P<0.001),incidence rate of pulmonary infection(χ2=4.866,P=0.027),and incidence rate of shock(χ2=16.285,P<0.001),as well as significantly lower albumin(Z=-2.473,P=0.013)and incidence rate of abdominal infection(χ2=5.897,P=0.015).The multivariate analysis showed that NH3(odds ratio[OR]=1.027,95%confidence interval[CI]:1.006-1.049,P=0.012),MELD score(OR=1.103,95%CI:1.011-1.203,P=0.027],and the incidence rate of shock(OR=6.326,95%CI:1.533-26.101,P=0.011)were independent risk factors for 28-day mortality in ALD-ACLF patients comorbid with infection.Based on these factors,a predictive model was established as Y=0.027×NH3+0.098×MELD score+1.845×shock-4.111.The ROC curve analysis showed that the new model had an AUC of 0.861,a sensitivity of 77.78%,and a specificity of 88.68%,while MELD score had an AUC of 0.776,a sensitivity of 77.78%,and a specificity of 67.92%,suggesting that the new model had a significantly higher diagnostic value than MELD score(Z=2.136,P=0.032 6).Conclusion ALD-ACLF patients with infection tend to have a poor short-term prognosis,and MELD score,NH3,and shock are influencing factors for the short-term prognosis of such patients.The combination of these three factors has a high value in predicting short-term prognosis.

BACKGROUND: To date, results on relationship between CYP3A4 gene polymorphism were limited and inconclusive, and no study focused on the influence of CYP3A4 gene-obesity interaction on breast cancer risk, especially in Chinese women. The purpose of this study was to evaluate the impact of four single nucleotide polymorphisms (SNPs) of CYP3A4 gene, the SNP-SNP and gene-environment interactions on the susceptibility to breast cancer in Chinese women. METHODS: Logistic regression was used to explore the relationship between four SNPs of CYP3A4 gene and the risk of breast cancer. Generalized multifactor dimensionality reduction (GMDR) was used to screen the best SNP-SNP and gene-abdominal obesity interaction combinations among four SNPs and abdominal obesity. Haplotype examination among 4 SNPs was conducted using the SHEsis web-based platform. RESULTS: Logistic regression analysis showed that carriers of rs2242480- T allele have significantly higher breast cancer risk, than those with rs2242480- CC genotype, adjusted OR (95%CI) was 1.68 (1.23-2.16) and 2.03 (1.53-2.58) for participants with CT genotype and TT genotype under additive model. We did not find any notable interactions between the four SNPs within the CYP3A4 gene. GMDR model found a significant association in a two-locus model involving rs2242480 and obesity, with a p-value of 0.018. Stratified analysis found that breast cancer risk was the highest in obese participants with rs2242480- CT or TT genotype, compared to those non-obese participants with rs2242480- CC genotype, OR (95%CI) was 3.02 (1.83-4.25). We found that all haplotype combinations were not correlated with breast cancer risk. CONCLUSIONS We found that the T allele of rs2242480 within the CYP3A4 gene and interaction between rs2242480 and obesity were associated with an increased risk of breast cancer. However, the results of this study were only applicable to the Han ethnic group and cannot be generalized to other ethnic groups in China, and more SNPs of CYP3A4 gene should been enrolled in the analysis in the future, to verify the results obtained in this study.
Adult ; Aged ; Female ; Humans ; Middle Aged ; Breast Neoplasms/etiology* ; China/epidemiology* ; Cytochrome P-450 CYP3A/metabolism* ; Gene-Environment Interaction ; Genetic Predisposition to Disease ; Haplotypes ; Obesity/epidemiology* ; Polymorphism, Single Nucleotide ; Risk Factors ; East Asian People

Objective:To explore the clinical characteristics, audiological outcomes, and factors influencing the efficacy of pharmacological treatment in patients with sudden hearing loss associated with large vestibular aqueduct syndrome（LVAS）. Methods:A retrospective analysis was conducted on the clinical data of 77 bilateral LVAS patients（117 ears） hospitalized for sudden hearing loss from January 1, 2009, to December 31, 2023. The inclusion criteria required that patients to be diagnosed according to the Valvassori standard and had received standardized pharmacological treatment. Clinical features, audiological outcomes, and treatment efficacy were analyzed. Statistical methods were employed to identify factors associated with treatment outcomes. Results:The age of the enrolled patients ranged from 4 to 37 years. The age of onset for the initial hearing fluctuation varied between 0 and 24 years, with a mean age of 5.8 years. The male-to-female ratio was approximately balanced（37 males and 40 females）. The proportion of unilateral to bilateral sudden hearing loss was 1.0︰1.2, with unilateral right ear hearing loss being more frequently occurring（64.9%）. Triggering Factors: Triggers included no identifiable factors in 48.1% of cases, a history of head trauma（24.7%）, upper respiratory tract infections（11.7%）, onset following physical fatigue（11.7%）, and less frequently, noise exposure, alcohol consumption, or emotional stress（each 1.3%）. Clinical Symptoms: Hearing loss was the sole symptom in 35.1% of cases. Concurrent symptoms included vertigo in 44.2% and tinnitus in 46.8%. Patients with a disease duration of ≤14 days demonstrated a treatment efficacy rate of 75.0%. Among those who responded to treatment, 93.0% had profound or greater hearing loss prior to therapy, with an average improvement in hearing thresholds of 32 dB HL. In pretreatment, 68.9% of patients exhibited low-frequency air-bone gaps, increasing to 76.1% post-treatment. Additionally, 17.6% of treated ears demonstrated a ≥15 dB HL improvement in low-frequency bone conduction thresholds. In the non-responsive group, 7.3% of ears still showed some improvement in bone conduction thresholds. Statistically significant differences（P<0.05） were observed between the treatment-effective and non-effective groups concerning the age of initial hearing fluctuation, disease duration, and severity of hearing loss at onset. Conclusion:The efficacy of pharmacological treatment for sudden hearing loss in LVAS patients is influenced by the age at onset, duration of the disease, and severity of hearing impairment. Early diagnosis and timely intervention significantly enhance treatment efficacy, particularly in patients with a disease duration of ≤14 days and an initial sudden hearing loss. Patients with severe hearing loss, especially those with profound or greater impairment, exhibit greater sensitivity to treatment. Pharmacological interventions positively impact both air conduction and bone conduction thresholds, with the observed improvement in bone conduction thresholds warranting further investigation.
Humans ; Male ; Retrospective Studies ; Hearing Loss, Sudden/etiology* ; Female ; Vestibular Aqueduct/pathology* ; Adult ; Child ; Adolescent ; Child, Preschool ; Young Adult ; Treatment Outcome