Objective To investigate the incidence and epidemiological characteristics of herpes zoster in Jinshan District, Shanghai, in 2024, and to provide a scientific basis for the development of prevention and control measures. Methods The visit information of herpes zoster cases in 2024 was collected through the outpatient diagnosis and treatment system of medical institutions in Jinshan District. Descriptive epidemiological methods were used for statistical analysis. Results In 2024, there were a total of 7 270 cases of herpes zoster in Jinshan District, including 3 398 male cases and 3 872 female cases. The incidence rate among females was higher than that among males (χ² =125.25, P< 0.001). Cases occurred in all age groups, with an average age of 59.58 ± 15.28 years. The highest proportion of cases was in the 50-year-old group (21.99%) and the 60-year-old group (25.45%). The incidence rate increased with age (χ² = 4 505.99, P< 0.001). The main departments for consultation were dermatology, pain clinics, and neurology. The main clinical diagnoses were herpes zoster without complications, postherpetic neuralgia, and incomplete herpes zoster. Among the cases, 3,102 patients had follow-up visits, and the number of follow-up visits increased with age. From 2020 to 2024, a total of 2,032 doses of herpes zoster vaccine were administered in the district, with the highest vaccination rate in the 50-year-old group (54.48%). Conclusion The majority of herpes zoster cases in Jinshan District are concentrated in the 50- and 60-year-old groups. The main complication is postherpetic neuralgia. The incidence rate and number of follow-up visits increase with age. The vaccination rate of herpes zoster vaccine in the entire district is relatively low. It is recommended to enhance monitoring and analysis, carry out health education for key populations (aged 50 years old and above), and promote vaccination and other preventive and control measures.

AIM: To investigate the diagnostic and prognostic value of differential expression of Cyclin D1 and p53 in eyelid tumors.METHODS: This retrospective study enrolled patients who underwent surgical resection for eyelid tumors at our hospital between March 2018 and March 2023. Participants were categorized into benign and malignant groups based on tumor characteristics. Clinical data were collected. Genetic data for eyelid tumors were obtained from the GEO database, and differential gene analysis, including volcano plot visualization and KEGG pathway enrichment analysis, was performed using the Sangerbox 3.0 platform. Immunohistochemistry was used to detect the expression levels of Cyclin D1, p53, and BAX in tissue samples. Correlations with clinical features were analyzed using Spearman analysis, and prognostic factors were identified via Logistic regression analysis.RESULTS: This study included 69 patients with eyelid tumors(78 eyes), categorized into a benign group(37 patients, 41 eyes)and a malignant group(32 patients, 37 eyes)based on tumor characteristics. There were significant differences between the two groups in histological subtype, TNM staging, vascular invasion, differentiation status, and local infiltration(all P<0.05). Among benign tumors: pigmented nevi in 11 eyes(27%), hemangiomas in 9 eyes(22%), squamous cell papillomas in 5 eyes(12%), epidermoid cysts in 5 eyes(12%), seborrheic keratoses in 4 eyes(10%), neurofibromas in 3 eyes(7%), and both calcifying epithelioma and xanthelasma in 2 eyes each(5%); among malignant tumors: basal cell carcinoma in 18 eyes(49%), meibomian gland carcinoma in 8 eyes(22%), squamous cell carcinoma in 5 eyes(14%), sebaceous gland carcinoma in 4 eyes(11%), lymphoma and malignant melanoma each in 1 eye(3%). At the follow-up cutoff date of March 2025, the 2-year survival rate in the benign group(95%)was significantly higher than that in the malignant group(78%; P<0.05). Bioinformatics analysis identified 4 103 differentially expressed genes, including Cyclin D1, p53, and BAX, which were predominantly involved in pathways such as the p53 signaling pathway and calcium-related signaling. Spearman analysis revealed that local invasion(rs=0.71, P<0.05)and TNM stage(rs=0.73, P<0.05)correlated with Cyclin D1 expression; local invasion(rs=0.76, P<0.05)and histological subtype(rs=0.65, P<0.05)correlated with p53 expression. Logistic regression results indicated that Cyclin D1, p53, TNM staging, and local invasion were prognostic risk factors. ROC curve analysis demonstrated that the combined detection of these four indicators had the highest predictive value for prognosis(AUC=0.83).CONCLUSION: High expression of cyclin D1 and p53 serves as molecular markers for distinguishing benign from malignant eyelid tumors and assessing prognosis. Combined detection of these markers with TNM staging and local invasion demonstrates high predictive value for prognosis.

OBJECTIVE To construct a whole-process management system for the smart pharmacy based on the integration of drug batch numbers and traceability codes， aiming to solve the problems of low upload rates and traceability difficulties of drug traceability codes in the central pharmacy， and to enhance its level of refined management and medication safety. METHODS Following the FOCUS-PDCA framework（find，organize，clarify，understand，select-plan，do，check，act）， a drug batch number and traceability code management system was established by optimizing batch number management processes， introducing “pre-scan registration” technology， and establishing a dynamic “code pool” mechanism. Based on medical insurance upload data and operational performance indicators in our hospital from June to August 2025， the differences in management efficacy before and after the implementation of the system were compared and analyzed. RESULTS The drug batch number and traceability code management system was successfully established， achieving “one-object， one-code” whole-process association with batch numbers for inpatient drugs， especially split drugs. After the application of this system， the upload rate of inpatient drug traceability codes reached 100%， significantly higher than the average upload rate of inpatient drugs in other tertiary hospitals in our city （with the highest rate being only 23.22%， P ＜0.001）. The inventory stocktaking error rate dropped from 0.9% to 0.3% （a decrease of 66.7%）； the number of daily dispensing errors decreased from 1.43 to 0.37； the dispensing time （14.75 min） for temporary medical orders recovered to the routine level （14.42 min） prior to the system implementation. CONCLUSIONS By adopting the “pre-scan registration-code pool management-closed-loop traceability” model， this system enables traceability for individual drug products in their smallest packaging units， improves the upload rate of traceability codes， significantly reduces the medication dispensing error rate， and does not increase the time cost for temporary medical order dispensing， thereby balancing efficiency with closed-loop traceability.

OBJECTIVE To investigate the risk factors for sodium valproate （VPA）-induced hyperammonemia in neurocritical patients， and to construct a risk prediction model. METHODS Clinical data were retrospectively collected from 172 neurocritical patients who received VPA treatment in the Department of Critical Care Medicine， the Fourth Affiliated Hospital of Soochow University from January 2022 to June 2025. Patients were divided into the hyperammonemia group （73 cases） and the normal group （99 cases） based on their blood ammonia levels. Univariate analysis and LASSO regression analysis were used to screen for predictive variables. Independent factors were identified through multivariate Logistic regression analysis， and a nomogram was constructed accordingly. The performance of the model was evaluated using receiver operating characteristic （ROC） curve， calibration curve， and decision curve analysis （DCA）. RESULTS Combination of univariate analysis and LASSO regression analysis screened out seven predictive variables： body mass index （BMI）≥24.0 kg/m 2 ， concomitant use of benzodiazepines， VPA blood concentration， hemoglobin， serum urea， average daily VPA dose， and albumin. Multivariate Logistic regression analysis showed that concomitant use of benzodiazepines， BMI≥24.0 kg/m 2 ， VPA blood concentration， albumin and serum urea level （with odds ratios of 1.615， 1.538， 1.623， 1.942 and 0.637， respectively； 95% confidence intervals of 1.128-2.359， 1.059-2.251， 1.112-2.431， 1.106-3.598 and 0.402-0.980， respectively） were all significantly associated with VPA-induced hyperammonemia in neurocritical patients （ P ＜0.05）. The nomogram prediction model constructed based on these variables was evaluated， showing that the area under the ROC curve was 0.810 for the test set and 0.844 for the validation set. The calibration curves closely approximated t he actual curves， and the application of this model could improve the clinical net benefit. CONCLUSIONS Concomitant use of benzodiazepines， BMI≥24.0 kg/m 2 ， high VPA blood concentration and high albumin level are independent risk factors for VPA-induced hyperammonemia in neurocritical patients， while high serum urea level is an independent protective factor. The risk prediction model constructed based on these factors exhibits good discrimination， consistency， and clinical applicability， making it applicable for predicting the risk of VPA-induced hyperammonemia in neurocritical patients.

Purpose To investigate the value of two-dimensional speckle tracking in evaluating right ventricular function in cardiac amyloidosis(CA).Materials and Methods A total of 25 patients with CA,30 patients with hypertrophic cardiomyopathy(HCM)and 30 healthy controls were retrospectively selected from July 2021 to October 2023 in Wuhan Asia Heart Hospital.The regional difference was represented by the formula apical ratio.The parameters of conventional echocardiography,two-dimensional strain and apical ratio of the three groups were analyzed and compared.Results Only segmental strain was different in right ventricular structure and function between CA group and HCM group,and the differences were statistically significant(all P<0.05).In the CA group,the strain gradient of the right ventricle from the apex of the heart to the base was the same as that of the left ventricle,that was,the"apex preservation"pattern,which was not seen in the HCM group and the control group.Comparison of the right ventricular free wall longitudinal strain-apical ratio,right ventricle four-chamber longitudinal strain-apical ratio,left ventride global longitudinal strain-apical ratio among the three groups,it was found that the levels of CA group were higher than HCM group and control group,and the differences were statistically significant(H=40.40,43.18,55.43,all P<0.05).The right ventricular free wall longitudinal strain-apical ratio had the highest CA recognition value,the area under the curve was 0.935,sensitivity was 96%and specificity was 83%.Conclusion Two-dimensional speckle tracking can accurately evaluate the right ventricular function impairment in CA patients and provide a new choice for clinical evaluation and identification of CA patients.

Objective To observe the value of 2D SECara-Net and 3D U2-Net models constructed based on 2D maximal intensity projection(MIP)and 3D time-of-flight MR angiography(3D TOF-MRA)images,respectively,also of their combination for MRA detecting unruptured saccular intracranial aneurysms(USIA).Methods Totally 973 patients with single USIA and 300 subjects who underwent healthy physical examination were retrospectively collected and divided into training set(n=923,containing 723 cases of USIA and 200 healthy subjects)and test set(n=350,containing 250 cases of USIA and 100 healthy subjects)at the ratio of 7:3.Pre-processed 3D TOF-MRA and the obtained 2D-MIP images in training set were imported into 3D U2-Net and 2D SECara-Net models for training and adjusting parameters,respectively.The efficiency of 2 models and their combination for detecting USIA were evaluated.Results The sensitivity,specificity and accuracy of 2D SECara-Net model for detecting USIA in test set was 78.80％(197/250),95.00％(95/100)and 83.43％(292/350),of 3D U2-Net model was 82.80％(207/250),86.00％(86/100)and 83.71％(293/350),respectively.The specificity of 2D SECara-Net model was higher than that of 3D U2-Net model(P=0.030),while no significant difference of sensitivity nor accuracy was found between 2 models(both P＞0.05).The specificity of the combination of the 2 models was 99.00％(99/100),higher than that of 3D U2-Net model(P＜0.05),and the sensitivity and accuracy of the combination was 91.20％(228/250)and 93.43％(327/350),respectivelty,both higher than those of 2 single models(all P＜0.05).Conclusion 2D SECara-Net and 3D U2-Net models had similar,sensitivity and accuracy for MRA detecting USIA.Combination of them could improve the detecting efficacy.

Objective:To explore the incidence of delirium in patients of advanced age hospitalized in internal medicine departments and analyze its influencing factors.Methods:A retrospective analysis was conducted on the medical records of 586 patients of advanced age hospitalized in internal medicine departments at the Beijing University of Chinese Medicine Third Affiliated Hospital from May 2023 to May 2024. Patients were divided into a delirium group and a non-delirium group based on whether delirium occurred. Univariate analysis and binary Logistic regression analysis were used to explore the factors influencing delirium in patients of advanced age hospitalized in internal medicine departments.Results:Among 586 patients of advanced age hospitalized in internal medicine departments, the incidence of delirium was 21.2% (124/586). Binary Logistic regression analysis showed that age, activities of daily living (Barthel Index), folate deficiency, sleep disorders, and indwelling catheters were factors influencing delirium in patients of advanced age hospitalized in internal medicine departments ( P<0.05) . Conclusions:The incidence of delirium is high among patients of advanced age hospitalized in internal medicine departments. Healthcare professionals should pay particular attention to elderly patients with advanced age, limited activities of daily living, folate deficiency, sleep disorders, and indwelling catheters, and should implement targeted preventive strategies as early as possible.

Objective:To explore the effectiveness of nursing based on the Roy model in patients with Guillain-Barre syndrome (GBS) .Methods:Convenience sampling was used to select 55 patients with GBS at the First People's Hospital of Shangqiu between January 2020 and May 2024 as study subjects. Patients were divided into an intervention group ( n=28) and a control group ( n=27). Control group received conventional nursing, while intervention group received nursing based on Roy adaptation model. The recovery time, psychological state, and social support of the two groups of patients were compared. Results:Intervention group demonstrated shorter recovery times, lower anxiety and depression scores, and higher Social Support Rating Scale scores compared to control group, with all differences being statistically significant ( P<0.05) . Conclusions:The Roy model nursing in this study of GBS patients, effectively improves recovery outcomes, psychological state, and social support among GBS patients through comprehensive assessment, personalized nursing intervention, and ongoing evaluation.

Objective To investigate the dynamic functional connectivity differences between insomnia patients and healthy controls in triple brain networks[the significant network(SN),the default mode network(DMN),and the executive control network(ECN)]using functional magnetic resonance imaging,and uncover their associations with cognitive ability.Methods Dynamic functional connectivity analysis was performed on functional magnetic resonance imaging data from 40 insomnia patients and 40 healthy controls.The changes in dynamic functional connectivity values were studied for SN,DMN,ECN[including the left executive control network(LECN)and the right executive control network(RECN)];the similarities and differences in time characteristic indicators such as time score,average dwell time,and conversion rate were explored;and their associations with clinical information were analyzed.Results The SN-LECN and DMN-RECN dynamic functional connectivity was significantly higher in insomnia patients than in healthy controls(P=0.013,0.047),while the RECN-LECN and RECN internal functional connectivity strength was lower in insomnia patients than in healthy controls(P<0.001).Additionally,the fractional time in state 2 in insomnia group was significantly higher than that in healthy controls(P<0.001),and it was positively correlated with the Pittsburgh sleep quality index(r=0.524,P=0.001).Conclusion Insomnia patients exhibit significant abnormalities in triple brain network dynamic functional connectivity,which may be related to abnormalities in cognitive control and sensory processing in insomnia patients.These findings provide a new perspective for further research on the neural mechanisms and potential intervention strategies for insomnia.

Objective To investigate the expression of regional cerebral oxygen saturation(rSO2)in preterm infants with brain injury(BIPI)and its relationship with amplitude-integrated electroencephalogram(aEEG)parameters and neurodevelopment.Methods Retrospectively,116 cases of BIPI(Bilateral Intra-ventricular Perforation)born in the hospital between February 2022 and February 2023 were selected as the study subjects.According to the Expert Consensus on the Diagnosis and Prevention of Premature Infant Brain Injury,these cases were categorized into mild,moderate,and severe groups,with 59,35,and 22 cases,respectively.The study compared the general characteristics of premature infants with different brain injury levels.Regression analysis was conducted to identify the factors affecting brain injury in premature infants,and correlation analyses were performed on aEEG scores,rSO2,and GMS scores.ROC curve analysis was used to evaluate the value of combining brain oxygen saturation monitoring with aEEG in predicting abnormal whole-body motor quality assessment.Results On the 3rd and 7th days after birth,severe brain-injured premature infants had significantly lower rSO2 and aEEG scores compared to those with mild and moderate brain injuries(P<0.05).At 7 days,these infants also had lower scores for graph continuity,sleep-wake cycles,lower boundary amplitude,bandwidth,total score,rSO2,gestational age,and birth weight,and a higher proportion of abnormal developmental outcomes(PR+CS)(P<0.05).Multivariate logistic regression analysis revealed that the 3-day aEEG total score(OR=0.448,95％CI:0.094～0.890),7-day aEEG total score(OR=0.384,95％CI:0.058～0.726),3-day rSO2(OR=0.574,95％CI:0.398～0.750),and 7-day rSO2(OR=0.431,95％CI:0.115～0.777)were all protective factors for brain injury in premature infants,P<0.05.Correlation analysis showed that brain oxygen saturation was negatively correlated with aEEG scores and overall motor quality.The prediction value for abnormal overall motor quality using 7-day rSO2,aEEG,and the combination of 7-day rSO2 and 7-day aEEG scores was as follows:the positive predictive value for rSO2 was 86.46％,the negative predictive value was 96.85％,the sensitivity was 92.31％,the specificity was 92.21％,and the cut-off value was 0.845;The positive predictive value(PPV)of aEEG was 78.26％,the negative predictive value(NPV)was 96.86％,the sensitivity was 89.74％,and the specificity was 92.21％,with a cut-off value of 0.820.The positive predictive value(PPV)of 7-day rSO2 combined with 7-day aEEG score was 89.04％,the NPV was 96.88％,the sensitivity was 94.90％,and the specificity was 93.51％,with a cut-off value of 0.884,P<0.05.ROC curve analysis showed that the AUC of 7-day rSO2+7-day aEEG score was 0.895,De-long test P<0.005,indicating high predictive value for overall exercise quality.Conclusion Combined with rSO2 and EEG,the prediction of overall motor quality is better,which may have clinical value for excluding high-risk children.