Objective To construct a quality evaluation index system for non-medical technical services in public hospitals,aiming to provide a more scientific and feasible basis for evaluating patient service quality.Methods Based on literature research,the SERVQUAL theory was used to preliminarily formulate a comprehensive and full-cycle evaluation index for patient service quality.The final evaluation index system was determined through expert consultation,and the Analytic Hierarchy Process was used to determine the weights of the evaluation indices.Results The questionnaire response rates for the two rounds of expert consultation were both 100％.The authority coefficients of the experts were 0.82 and 0.80,respectively,indicating a high level of expert authority.The Kendall's W coefficient increased from 0.088 to 0.107 between the two rounds,and the difference was statistically significant (P<0.001),indicating good consistency of expert opinions.The consistency results of each judgment matrix were less than 0.1,passing the consistency test.The final evaluation index system consisted of six primary indicators (tangibility,reliability,responsiveness,assurance,empathy,and continuity) and 33 secondary indicators.Conclusion The selection of evaluation indicators revolves around the core service processes of outpatient,inpatient,and other hospital services,focusing on key elements at various critical junctures that influence patient experience.The evaluation indicators aim to guide hospitals to improve not only essential needs but also desired improvements in service quality,thus promoting the continuous enhancement of hospital services.

[Objective]By integrating multi-parameter magnetic resonance imaging(MRI)radiomics features,an interpretable machine learning model was constructed to accurately predict pre-operative traditional Chinese medicine(TCM)syndromes in breast cancer patients,providing objective and quantitative basis for clinical TCM syndrome types differentiation.[Methods]A total of 315 patients pathologically diagnosed breast cancer from the First Affiliated Hospital of Zhejiang Chinese Medical University between June 2019 to October 2023 were retrospectively included.The preoperative TCM syndromes of the patients were classified into liver depression with phlegm coagulation,chongren dysregulation and positive deficiency blazing toxin type.These patients were randomly allocated to the training(221 cases)and validation sets(94 cases)in a ratio of 7:3.Radiomics features in dynamic contrast-enhanced imaging(DCE),diffusion-weighted imaging(DWI)and apparent diffusion coefficient(ADC)images of each patient were extracted by using Kruskal-Wallis rank sum test,Spearman correlation analysis and least absolute shrinkage and selection operator(LASSO)polynomial Logistic regression screening for radiomics features.Then,light gradient boosting machine(LightGBM)was used to construct the syndrome prediction model.[Results]A total of 2 832 radiomics features were extracted from the DCE,DWI and ADC images of each patient.After a series of feature selection methods,the total numbers of features for DCE,DWI,ADC and three-sequence combination were 3,3,3 and 7 respectively.The machine learning model integrating multi-sequence MRI image information had the best performance,with micro-averaged area under the curve(AUC)of 0.852 and 0.838 for the training and validation sets,and macro-averaged AUC of 0.833 and 0.810 for the training and validation sets respectively.Shapley additive explanation(SHAP)analysis showed that inverse difference moment normalization(Idmn)of the ADC sequence,average gray level(Mean)of the ADC sequence and inverse variance of the DCE sequence were the three features that contributed most to the prediction results.[Conclusion]The interpretable machine learning model constructed in this study can accurately predict pre-operative TCM syndromes in breast cancer patients.SHAP interpretability analysis provides quantitative contribution value information,which can help clinicians understand the model prediction process and provide a new perspective for the application of traditional Chinese medicine in the treatment of breast cancer.

Objective To explore the factors influencing blood drug concentrations of first-line anti-tuberculosis drugs in fixed-dose combinations by analyzing therapeutic drug monitoring data from tuberculosis patients receiving these regimens.Methods This retrospective study enrolled 224 patients who received treatment at Guangzhou Chest Hospital between January 2020 and December 2024.All participants underwent standardized therapy during the intensive phase,with therapeutic drug monitoring of first-line anti-tuberculosis drugs(ANTDs),including isoniazid(INH)and rifampicin(RFP).Data collection was completed in January 2025,at which time clinical records and measured INH and RFP plasma concentrations were updated.Data analysis was conducted from January to February 2025.Eight baseline variables—gender,age,hypoproteinemia(serum albumin<35 g/L),glomerular filtration rate(GFR),and others—were collected.Univariate chi-square tests and multivariate logistic regression analyses were performed to identify independent risk factors associated with subtherapeutic INH and RFP plasma concentrations.Results Among the study participants,71.43%(160/224)exhibited blood drug concentrations below the reference range for INH,compared to 41.07%(92/224)for RFP.The mean blood concentrations(mg/L,±SD)were 2.532±1.371 for INH and 9.428±4.317 for RFP,respectively.One-way analysis indicated significant associations between male gender,positive etiological test results,and subtherapeutic RFP concentrations(P<0.05),suggesting statistically significant differences.Multivariate regression analysis further revealed that male gender(OR=1.992,95%CI:1.094～3.628)and positive etiological tests(OR=1.929,95%CI:1.058～3.517)were independent risk factors for low RFP levels.Conclusions This study demonstrates that therapeutic drug monitoring(TDM)frequently identifies subtherapeutic RFP concentrations in tuberculosis patients undergoing treatment.Multivariate analysis reveals that male sex and positive pathogen test results are independent risk factors associated with low RFP plasma levels.Consequently,clinicians should exercise heightened vigilance in patients exhibiting these characteristics,promptly implementing TDM to guide individualized dose adjustments.Such an approach is crucial for optimizing treatment efficacy and minimizing the risk of drug resistance development.

Aim To study the effect of p-benzoyl sali-droside(pOBz)on angiogenesis after ischemic stroke and to explore the underlying mechanism.Methods The MCAO model was prepared by suture method.Rats were divided into four groups:sham,MCAO,pOBz administration,and edaravone positive control,treated for seven days.The mNSS was used to assess the neurological impairment.Western blotting was em-ployed to detect CD31,NICD,and Hes-1 protein ex-pression,while immunofluorescence staining was ap-plies to quantify CD31-positive cells in ischemic brain tissue.In vitro an OGD/R model was established in HUVECs.Following treatment with varying pOBz con-centrations(0.01,0.1,1 μmol·L-1),the CCK-8 as-say was uses to measure cell viability,and in vitro tube formation assay was utilized to evaluate angiogenesis.Western blotting was employed again to assess CD31,NICD and Hes-1 protein levels.To further elucidate the mechanism,HUVEC were treated with the Notch inhibitor DAPT prior to grouping and pOBz administra-tion,and the same parameters were evaluated.Results pOBz significantly reduced the mNSS score of MCAO rats,increased CD31-positive cell counts,and upregu-lated CD31,NICD,and Hes-1 protein expression(P＜0.01).In vitro results further showed that pOBz could dose-dependently increase the survival rate and angio-genesis ability of HUVEC induced by OGD/R,and promote CD31,NICD and Hes-1 proteins(P＜0.01),and Notch inhibitor DAPT could reverse the above effects of pOBz.Conclusion pOBz promotes angio-genesis in HUVEC,and its mechanism involves activa-tion of the Notch signaling pathway.

Objective:To establish a high performance liquid chromatography-evaporative light scattering detector(HPLC-ELSD)technique for simultaneous determining the content of excipients sucrose and mannitol in meningo-coccal polysaccharide vaccine.Methods:Using NanoChrom Sugar-10Ca analytical column(300 mm × 7.8 mm)and HPLC system(Agilent 1260).With purified water as the mobile phase,a flow rate of 0.5 mL·min-1,column temperature was 80 ℃,and the injection volume was 50 μL.The evaporative light detector was based on nitrogen.The carrier gas flow rate is 3.2 L·min-1,the temperature of drift tube was 1 10 ℃,the gain value was 1,and the impactor was"mode 1".This assay was subsequently validated for its system suitability,specificity,repeatability,intermediate precision and linearity,and accuracy.The established method was used to assay the contents of the sucrose and mannitol in four batches of meningococcal polysaccharide vaccine.Results:The estab-lished HPLC-ELSD method showed good systemic suitability.Specificity validation showed that there was no inter-ference peak in the blank solvent;the separation of the target peaks between sucrose and mannitol was＞2.0.The relative standard deviations(RSD)value of peak area of sucrose and mannitol in six tests were 0.44％and 0.38％,respectively.RSD of intermediate precision of both sucrose and mannitol were lower than 2.00％,indica-ting that the precision of high performance liquid chromatography instrument was well.The linear range of two excipients were 12.5-150.0 μg·mL-1(R2＞0.99,respectively).The recovery rate of sucrose and mannitol were 95.74％-99.33％,94.37％-98.85％,respectively.There was no significant difference in the contents of sucrose and mannitol in 4 batches of meningococcal polysaccharide vaccine.Conclusion:The HPLC-ELSD method showed good specificity,precision,linearity and accuracy,and the test results were stable and reliable,so that it is suitable for simultaneous determination of sucrose and mannitol contents of meningococcal polysaccharide injections.

Objective:To explore the mediating effect of illness acceptance between self-compassion and rehabilitation motivation in stroke patients with partial disability.Methods:By convenience sampling method, stroke patients who attended the neurology outpatient clinic of Xinxiang Central Hospital from February to December 2024 were selected as the research subjects. The General Information Questionnaire, Self-Compassion Scale (SCS), Chinese version of Acceptance of Illness Scale (AIS-CHI), and Stroke Rehabilitation Motivation Scale (SRMS) were used for the survey. Pearson correlation analysis was applied to analyze the relationships among self-compassion, illness acceptance, and rehabilitation motivation. AMOS 21.0 software was used to establish a structural equation model and verify the mediating effect.Results:A total of 300 questionnaires were distributed, and 289 valid ones were recovered, with an effective recovery rate of 96.33%. Among the 289 stroke patients with partial disability, the total score of SCS was (65.73±5.50), the total score of AIS-CHI was (17.46±5.62), and the total score of SRMS was (77.18±10.97). Pairwise positive correlations were found between self-compassion, illness acceptance, and rehabilitation motivation (all P<0.05). Self-compassion had a direct positive effect on rehabilitation motivation ( β=0.328, P<0.01) and a direct positive effect on illness acceptance ( β=0.439, P<0.01). Illness acceptance played a partial mediating role between self-compassion and rehabilitation motivation, and the mediating effect accounted for 31.38% of the total effect (0.150/0.478) . Conclusions:The levels of self-compassion, illness acceptance, and rehabilitation motivation in stroke patients with partial disability need to be further improved. Illness acceptance exerts a partial mediating effect between self-compassion and rehabilitation motivation. Clinically, the rehabilitation motivation of patients can be enhanced by improving their levels of self-compassion and illness acceptance.

Objective:To observe the intervention effect of personalized nutrition program combined with rehabilitation training in stroke rehabilitation patients.Methods:86 stroke rehabilitation patients who were admitted to our hospital from January 2023 to June 2024 were prospectively selected,they were divided into control group and study group according to the random number table method,with 43 cases in each group,the control group received rehabilitation training,while the study group received personalized nutrition program combine with rehabilitation training.Simple Fugl Meyer motor function(FMA)score,immune function indicators[immunoglobulin(Ig)A,IgG,complement C3,IgM,complement C4],National Institutes of Health Stroke Scale(NIHSS),nutritional status indicators[albumin(ALB),prealbumin(PA),total protein(TP),hemoglobin(HB)],Stroke Specific Quality of Life Scale(SS-QOL),Barthel Index(BI)score were compared between the two groups.Results:NIHSS score in the study group at 8 weeks after intervention was lower than that in the control group,and SS-QOL score,BI score,FMA score,IgM,IgA,IgG,complement C3,complement C4,ALB,HB,TP and PA were higher than those in the control group(P＜0.05).Conclusion:Personalized nutrition program combined with rehabilitation training in stroke rehabilitation patients,can reduce neurological damage,improve limb motor function,enhance nutritional status,immunity,and quality of life.

Aim To study the mechanism of salidro-side combined with rosavin in rats with ischemic stroke.Methods The MCAO rats was established by using thread-embolic method.The rats were divided into the sham group,MCAO group,salidroside com-bined with rosavin group,and positive control group;the drug was given continuously for seven days.Western blot was used to detect apoptosis indicators.Proteomics was used to analyse differential proteins(DEPs).STEP receptor inhibitor was injected into the lateral ventricles,the rats were administered for seven days,then the apoptosis indicators were detected.Re-sults Salidroside combined with rosavin could reduce neurological function scores in MCAO rats and inhibit cell apoptosis.Quantitative proteomics identified 496 DEPs in brain tissue and discovered core proteins STEP,p38,and CRTC1.Salidroside combined with rosavin could promote the STEP and CRTC1 while in-hibiting p38 protein.After treatment with STEP inhibi-tor,those effects were reversed.Conclusion Salidro-side combined with rosavin can inhibit cell apoptosis in MCAO rats,which is closely related to the regulation of the STEP/p38/CRTC1 signaling pathway.

Aim To study the mechanism of salidro-side combined with rosavin in rats with ischemic stroke.Methods The MCAO rats was established by using thread-embolic method.The rats were divided into the sham group,MCAO group,salidroside com-bined with rosavin group,and positive control group;the drug was given continuously for seven days.Western blot was used to detect apoptosis indicators.Proteomics was used to analyse differential proteins(DEPs).STEP receptor inhibitor was injected into the lateral ventricles,the rats were administered for seven days,then the apoptosis indicators were detected.Re-sults Salidroside combined with rosavin could reduce neurological function scores in MCAO rats and inhibit cell apoptosis.Quantitative proteomics identified 496 DEPs in brain tissue and discovered core proteins STEP,p38,and CRTC1.Salidroside combined with rosavin could promote the STEP and CRTC1 while in-hibiting p38 protein.After treatment with STEP inhibi-tor,those effects were reversed.Conclusion Salidro-side combined with rosavin can inhibit cell apoptosis in MCAO rats,which is closely related to the regulation of the STEP/p38/CRTC1 signaling pathway.

Objective:To evaluate the risk of developing pulmonary tuberculosis (PTB) among individuals with latent tuberculosis infection (LTBI) in schools and the protective effect of tuberculosis preventive treatment (TPT).Methods:A retrospective cohort study was conducted to collect data on 15 school outbreaks that occurred in Guangdong Province from 2017 to 2021. Baseline information on tuberculin skin test (TST) or interferon-gamma release test (IGRA) was obtained during contact surveys, as well as baseline information such as TPT. The incidence of PTB between 2017 and 2022 was queried using the Chinese Center for Disease Control and Prevention Information System. Poisson regression analysis was used to compare the incidence risk of PTB in the LTBI population under different TST states at baseline. Current cases, new cases and all cases (the sum of the two) were used as dependent variables. Cox regression models were used to analyze various risk factors affecting the risk of PTB in the LTBI population and evaluate the protective effect of TPT.Results:A total of 6 550 contacts were included in this study, of which 409 received TPT. Within 0-3 months after baseline survey, 119 cases were diagnosed as current cases [19.4‰, 119/(6 550-409)]. A total of 17 221.65 person-years of follow-up were conducted, during which 71 new cases were diagnosed (4.1/1 000 person-years, 71/17 221.65). The incidence density of PTB was 47.7/1 000 person-years, 6.6/1 000 person-years, 1.4/1 000 person-years, and 0.9/1 000 person-years, respectively, in TST strong/IGRA positive, TST moderate positive, TST generally positive, and TST and IGRA negative populations. The difference in PTB incidence density was statistically significant [likelihood ratio test LRT=153.16, P<0.001]. TPT was performed for individuals with strong TST or IGRA positivity, and the protection rate could reach 93% ( HR=0.07, 95% CI: 0.02-0.23). Conclusion:After the outbreak of the school epidemic, individuals with strong TST/IGRA positivity have a higher risk of developing PTB in the future. Targeted implementation of TPT can achieve better protection effects. In addition, the risk of developing PTB in individuals with moderate TST positivity is also worth noting.