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.

Central venous pressure(CVP)is a commonly used hemodynamic index in clinical practice,and the accuracy of its measurement results is influenced by the measurement technical specifications.Based on research evidence and clinical practice,this article interprets the main content of the group standard of CVP measurement technology,and proposes suggestions for its use.It aims to guide clinical nursing staff to correctly understand the principles and methods of CVP measurement,and promote the standardization of nursing practice and the accuracy of measurement results.

Objective To explore the potential mechanism of Xinnao Maikang in improving ApoE-/-atherosclerosis mice based on PPARγ/LXRα/ABCA1 pathway.Methods Totally 50 ApoE-/-mice were randomly divided into model group,atorvastatin group,Xinnao Maikang high-,medium-and low-dosage groups,and fed with high-fat diet for 12 weeks to establish atherosclerosis model.Another 10 C57BL/6J mice were selected as normal group,and atorvastatin group was given atorvastatin calcium suspension by intragastric administration,Xinnao Maikang high-,medium-and low-dosage groups were given Xinnao Maikang Decoction 56,28,14 g/kg by intragastric administration,the normal group and model group were given equal volume of normal saline by intragastric administration for 8 weeks.Liver index of mice was detected,serum lipid level of mice was detected by automatic biochemical analyzer,TC and TG contents in liver tissue were detected by biochemical kit,morphology of aortic intima and liver tissue were observed by HE staining,lipid deposition in liver tissue was observed by oil red O staining,the expressions of PPARγ,LXRα,ABCA1,ABCG1 and SR-BⅠ in liver tissue were detected by Western blot.Results Compared with the normal group,the liver index in the model group significantly increased(P<0.05),the contents of serum TC,TG and LDL-C significantly increased(P<0.05),and the contents of HDL-C significantly decreased(P<0.05),the contents of TC and TG in liver tissue increased(P<0.05),the aortic wall was thickened,the number of subcutaneous foam cells increased,the arrangement of liver cells were disaffected,and a large number of fat vacuoles could be seen,the protein expressions of PPARγ,LXRα,ABCA1,ABCG1 and SR-BⅠ in liver tissue significantly decreased(P<0.01).Compared with the model group,the liver index of Xinnao Maikang high-,medium-and low-dosage groups and atorvastatin group significantly decreased(P<0.05),the serum contents of TC,TG and LDL-C significantly decreased(P<0.05),and the HDL-C contents significantly increased(P<0.05),the contents of TC and TG in liver tissue significantly decreased(P<0.05),the aortic wall thickened and the subcutaneous foam cells decreased,the liver cells were arranged neatly,and fat degeneration was reduced to varying degrees,the protein expressions of PPARγ,LXRα,ABCA1,ABCG1 and SR-BⅠ in liver tissue of Xinnao Maikang high-dosage group and atorvastatin group significantly increased(P<0.05,P<0.01).Conclusion Xinnao Maikang can decrease blood lipid level,reduce atherosclerotic plaque and reduce lipid deposition in liver of atherosclerotic mice,and its mechanism may be related to regulating PPARγ/LXRα/ABCA1 pathway,regulating lipid metabolism,promoting reverse cholesterol transport.

Objective To analyze the satisfaction of medical experience of outpatients in multi-campus of a large tertiary public hospital.Methods From January to March 2024,a questionnaire on outpatient satisfaction was sent to the outpatient department of Peking University First Hospital daily based on the Questionnaire Star platform to analyze the outpatient satisfaction rate and satisfaction score of medical services,and the influencing factors of outpatient satisfaction were explored by logistic regression analysis.Results Among the respondents,64.0％expressed high levels of satisfaction while 26.1％reported being relatively satisfied.Waiting time and consultation time play an important role.The diagnosis,treatment and health education and schedule of follow-up visits may affect the outpatient experience.Outpatient payment,outpatient environment,outpatient perceived complaints and timely resolution of dissatisfaction all could affect outpatient satisfaction.Conclusion The overall satisfaction of outpatients was high,and patient satisfaction of outpatient medical services in multi-campuses was consistent.On the premise of ensuring the quality of medical care,hospitals should actively carry out individualized health education,simplify the medical process,extend the outpatient service,and further improved the sense of gain of outpatients.

Objective This study aims to explore the diagnostic value of medical indicators in identifying diuretic resistance(DR)among patients with heart failure(HF)using machine learning methods such as Least Absolute Shrinkage and Selection Operator(LASSO)regression.An early recognition model for diuretic resistance in heart failure patients is constructed to provide clinicians with timely intervention opportunities and reduce hospitalization duration.Methods 267 heart failure patients from Tianjin Chest Hospital were included in the study.Standard urine output and DR status were employed as dependent factors,whereas 64 clinical indicators were gathered as independent variables.Depending on the kind of dependent variable,two modeling strategies were used.The first method used LASSO regression to fit the model,and 10-fold cross-validation was used to find the ideal regularization parameter.Standard urine output was used to predict diuretic resistance in the test set.Root mean square error(RMSE),coefficient of determination(R2),and classification accuracy were employed to assess the model's performance.In the second method,the most pertinent subset of features in relation to DR status was selected utilizing the max-relevance and min-redundancy(mRMR)algorithm.After that,three machine learning classifiers were used for classification:support vector machines(SVM),random forests(RF),and logistic regression(LR).Accuracy,precision,recall,area under the receiver operating characteristic curve(AUC),and F1-score were used to evaluate the model's performance.Results The optimal LASSO parameter was 0.0161.On the test set,the RMSE was 0.3489,the R2 was 0.7200,and the classification accuracy was 91.36%.The AUCs for mRMR+LR,mRMR+RF,and mRMR+SVM were 0.94,0.89,and 0.95,respectively.Their accuracies were 0.86,0.77,and 0.90;precisions were 0.87,0.80,and 0.90;recalls were 0.86,0.75,and 0.90;and F1-scores were 0.86,0.75,and 0.90,respectively.In the validation set,the LASSO regression model outperformed the other machine learning methods in predictive performance.Conclusion Diuretic resistance in heart failure patients was successfully detected by both the LASSO regression model and mRMR-based machine learning classifiers.The LASSO regression model performed better than the mRMR-based classifiers,providing more accurate scientific evidence for early clinical intervention.

Objective To explore the objective facial appearance characteristics of patients with coronary heart disease(CHD).Methods From April 7,2019 to December 1,2022,313 patients with CHD were recruited from Dongzhimen Hospital,Beijing University of Chinese Medicine,Dongfang Hospital,Beijing University of Chinese Medicine,and the First Affiliated Hospital of Hunan University of Chinese Medicine,together with 293 healthy controls.Standardized facial images were obtained using the tongue-face diagnostic instrument.The face was divided into six regions:the forehead,left cheek,right cheek,nose,lips,and chin.Nine color parameters were extracted from each region,including red(R),green(G),blue(B),hue(H),saturation(S),value(V),lightness(L),red-green axis(a),and yellow-blue axis(b).Comparisons between groups were performed.Results Compared with the healthy group,in the forehead region,values of R,S,V,a,and b were higher in the coronary heart disease group,whereas B was lower(P<0.05);in the left cheek,nose,and chin regions,R,G,B,V,and L decreased,whereas S,a,and b increased(P<0.05);in the right cheek region,R,G,B,H,V,and L decreased,while S,a,and b increased(P<0.05);in the lips region,R,G,B,H,V,L,and a decreased,whereas S and b increased(P<0.05).Conclusion Compared with healthy individuals,patients with CHD present with a darker,more saturated facial complexion with reduced brightness,overall manifesting as"dark red complexion"and"dense but not bright color,"suggesting the pathogenesis of qi and blood circulation stagnation and internal blood stasis retention.The objective expression of facial features may have greater application value in syndrome differentiation and auxiliary diagnosis in traditional Chinese medicine.

In proton therapy,prompt gamma-ray imaging is considered as one of the most promising methods for assessing proton beam range.Prompt gamma-ray imaging detector evaluates the proton beam range based on the prompt gamma-ray distribution obtained by the prompt gamma-ray imaging system,which enables high-precision measurement of the proton beam range.Herein a proton beam range verification algorithm is designed for the newly developed prototype of the range verification detector(pixelated prompt gamma-ray imaging detector),which verifies the range estimation accuracy of the prototype for different phantoms and different energies of homogeneous media through Monte Carlo simulation.The results show that the accuracy of the proton beam range verification algorithm is within 0.5 mm of the safety margin error of the Bragg peak,and the measurement accuracy is significantly improved with the increase of the number of protons,indicating that the prototype algorithm is feasible for proton beam range verification.

Objective:To explore the expression and mechanism of lncRNA MALAT1 in negative sputum for tuberculous bac-terium.Methods:Expression of lncRNA MALAT1 in peripheral blood mononuclear cells(PBMC)of patients with positive sputum bacteria(Positive group)and negative sputum bacteria(Negative group)and healthy volunteers(HC group)was detected by RT-PCR.ELISA was used to detect expression levels of TNF-α,IL-1β and IL-6 in plasma.Expression of lncRNA MALAT1 in mice macro-phages RAW264.7 was silenced by siRNA interference,and RAW264.7 cells were infected with mycobacterium tuberculosis(MTB)H37Rv.Cells were divided into four groups:Control group,Control+MTB group,MTB+si-NC group and MTB+si-MALAT1 group.Proliferation activity of RAW264.7 cells in each group was detected by CCK-8 method.The number of MTB in each group was detected by CFU.Expressions of TNF-α,IL-1β and IL-6 in supernatant of RAW264.7 cells were detected by ELISA.Results:Compared with HC group,expressions of lncRNA MALAT1 in PBMC,and TNF-α,IL-1β and IL-6 in plasma were significantly increased in Positive group and Negative group(P<0.01).Compared with Control group,expression level of lncRNA MALAT1,proliferation activity,CFU value,and concentrations of TNF-α,IL-1β and IL-6 in supernatant of Control+MTB group,MTB+si-NC group and MTB+si-MALAT1 group were significantly increased(P<0.05).Compared with MTB+si-NC group,the above detection indexes in MTB+si-MALAT1 group were significantly decreased(P<0.05),while there was no significant difference in Control+MTB group(P>0.05).Conclusion:The significantly increased expression of MALAT1 in patients with negative sputum for tuberculous bacterium is positively correlated with expression of plasma inflammatory factors,while the silence of MALAT1 expression can reduce MTB induced inflammatory response by inhibiting the proliferation and phagocytosis of MTB infected macrophages.

Objective:To analyze the clinical effect of Jingling oral liquid combined with methylphenidate hydrochloride and thiopride hydrochloride in the treatment of children with attention deficit hyperactivity disorder (ADHD) and its influence on serum dopamine transporter (DAT), interleukin-6 (IL-6) and 8 isoprostaglandin F2α[8-iso-PGF-(2α)] levels.Methods:A total of 120 children with ADHD co-induced by epilepsy diagnosed and treated in Handan Second Hospital from May 2022 to June 2023 were retrospectively selected and divided into observation group and control group according to treatment method, with 60 cases in each group. The control group was treated with methylphenidate hydrochloride tablets and tiapride hydrochloride, and the observation group was treated with Jingling oral liquid on the basis of the control group. Both groups were treated continuously for 16 weeks. The clinical efficacy and number of seizures of the two groups were compared, the clinical symptoms of the two groups were assessed by the Conner Parent Symptom Questionnaire (PSQ) and the Swanson Nolan and Pelham Version Ⅳ(SNAP-Ⅳ), and the intelligence level of the two groups was assessed by the Wechsler Intelligence Scale. The serum levels of DAT, IL-6, 8-iso-PGF-(2α), neurotrophic factors before and after treatment and the occurrence of adverse reactions were compared between the two groups.Results:After treatment, the effective rate in the observation group was higher than that in the control group: 93.33% (56/60) vs. 80.00% (48/60), there was statistical difference ( χ2 = 4.62, P<0.05). After treatment, the number of seizures in the observation group was less than that in the control group at 3, 4 to 6, 7 to 12 months: (10.78 ± 1.45)times vs.(14.18 ± 1.56) times, (4.86 ± 0.53) times vs.(8.63 ± 0.89) times, (2.64 ± 0.32) times vs. (4.11 ± 0.45) times, there were statistical differences ( P<0.05). After treatment, the scores of PSQ and SNAP-Ⅳ in the observation group were lower than those in the control group: (13.67 ± 1.48)scores vs. (15.18 ± 1.59) scores, (22.12 ± 2.35) scores vs. (25.37 ± 2.68)scores; while the scores of Wechsler intelligence scale was higher than that in the control group: (93.65 ± 9.77)scores vs.(89.42 ± 8.89) scores, there were statistical differences ( P<0.05). After treatment, the serum levels of DAT, IL-6 and 8-iso-PGF-(2α) in the observation group were lower than those in the control group: (0.46 ± 0.05) μg/L vs. (0.52 ± 0.06) μg/L, (8.26 ± 0.89) ng/L vs. (8.74 ± 0.92) ng/L, (60.38 ± 6.46) ng/L vs.(79.25 ± 8.14) ng/L, there were statistical differences ( P<0.05). After treatment, the serum levels of S100βprotein, brain-derived nerve growth factor and prolactin in the observation group were higher than those in the control group: (41.55 ± 4.28) ng/L vs. (37.26 ± 3.87) ng/L, (498.33 ± 54.26) ng/L vs.(442.15 ± 45.78) ng/L, (10.18 ± 1.14) μg/L vs. (9.69 ± 0.97) μg/L, there were statistical differences ( P<0.05).There was no significant difference in gelatinous-derived nerve growth factor level between the two groups after treatment ( P>0.05). There was no significant difference in the incidence of adverse reactions between the two groups ( P>0.05). Conclusions:Jingling oral liquid combined with methylphenidate hydrochloride and thiopride hydrochloride in the treatment of ADHD co-induced by epilepsy has good efficacy, and can significantly improve their clinical symptoms, regulate the levels of serum DAT, IL-6, 8-iso-PGF-(2α). It is safe and reliable.

Objective To elucidate the molecular mechanisms underlying the effects of Kanggan Mixture(KGM)on key targets in rats with acute lung injury,network pharmacology and in vivo micro-CT experiments were employed.Methods Network pharmacology was utilized to forecast the target genes and principal pathways involved in the intervention of KGM in acute lung injury(ALI).Lipopolysaccharide(LPS)-induced ALI rat models were utilized,and micro-computed tomography(micro-CT)was employed to evaluate the extent of lung injury in vivo.Experiments were conducted to verify the intervention mechanism of KGM on ALI rats.Results The findings revealed that 190 chemical constituents were identified from KGM,and 579 potential targets and 204 pathways associated with KGM's impact on ALI were predicted.The principal components of KGM,such as quercetin,luteolin,kaempferol,betulin,and lupenone,exhibit anti-viral,anti-inflammatory,and immunomodulatory properties by targeting TP53,AKT1,SRC,EP300,and STAT3,and modulating the FoxO signaling pathway,TNF signaling pathway,PI3K-Akt signaling pathway,and MAPK signaling pathway,demonstrating an influence on acute lung injury.Micro-CT results suggest that KGM can improve lung texture enhancement and lung injury in ALI rats,with an increase in end-expiratory lung volume(inspiratory phase-expiratory phase).The HE and W/D ratio results indicate that KGM can improve lung tissue injury and reduce the lung tissue wet/dry weight ratio(P<0.01).Blood cell analysis results show that the anti-inflammatory agent can decrease the WBC(white blood cell count)and N%(neutrophil percentage)in ALI rats'blood(P<0.01),and increase lymphocytes(P<0.05).Real-time quantitative PCR,WES,and immunohistochemistry results suggest that KGM can decrease the mRNA expression,protein distribution,and protein expression levels of TP53,AKT1,SRC,EP300,and STAT3 in lung tissue of ALI rats(P<0.05).Conclusion KGM has a certain intervention effect on acute lung injury,mainly achieved through the core targets STAT3,EP300,SRC,AKT1,and TP53.