AIM: To detect the distribution and expression of vascular endothelial growth factor(VEGF)in radiation retinopathy(RR)through fluorescence targeted imaging.METHODS:Covalent binding of fluorescein FITC with VEGF antibody ranibizumab to prepare targeted fluorescent imaging probe ranibizumab-FITC. SD rats were randomly divided into three groups based on the principle of weight balance: a normal control group(Con group), a low-dose radiation group(10 Gy group), and a high-dose radiation group(30 Gy group). Medical linear accelerators and lead blocks were used to locally irradiate the rat eyeballs for modeling. Western blot and qRT-PCR were used to detect the expression levels of VEGF-A in each group and to screen for appropriate modeling dose. The inverted fluorescence microscope and the confocal microscope were used to observe the distribution of VEGF and imaging probes in the retinas of control and RR model group rats, and to verify the effectiveness of targeted probes.RESULTS:The expression level of VEGF-A in the retina of rats in the high-dose radiation group(30 Gy group)was higher than that in the normal control group(Con group). In early RR, VEGF expression was observed to be associated with microaneurysms and abnormal microvessels in the retina. VEGF accumulation was observed at the site of capillary wall damage. When retinal capillary endothelial damage occurred, targeted probes gathered on the outer surface of the vessel wall.CONCLUSION:The expression level of VEGF in the retina of RR model rats is elevated, and fluorescent targeted molecular imaging probes can detect the spatial distribution of VEGF at the microvascular lesions in the retina of RR rats.

AIM: To investigate and analyze serum nitric oxide synthase 4(NOX4)and matrix metalloproteinase(MMP)-2 expressions in patients with diabetes mellitus(DM)complicated with neovascular glaucoma(NVG)and their clinical significance.METHODS: A prospective study was conducted on 161 patients with DM complicated with NVG admitted to Handan City Eye Hospital(The Third Hospital of Handan)from June 2020 to June 2023. Based on whether complications occurred 1 a after trabeculectomy in the study group patients, they were divided into a group with good prognosis(n=90)and a group with poor prognosis(n=71). During the same period, 161 patients with chronic angle-closure glaucoma without iris neovascularization were selected as the control group. ELISA method was applied to detect the expression levels of serum NOX4 and MMP-2. ROC curve was plotted to evaluate the diagnostic value and postoperative complication prediction value of NOX4 and MMP-2 in patients with DM complicated with NVG. Pearson method was applied to analyze the correlation of NOX4 and MMP-2 with vascular endothelial growth factor(VEGF)and interleukin-6(IL-6). Multivariate Logistic regression was applied to analyze the influencing factors of postoperative complications in the study group.RESULTS:The general information of the study group and control group of patients is comparable. Compared with the control group, the expression levels of serum NOX4, MMP-2, VEGF, and IL-6 in the study group were significantly increased(P<0.001). According to Pearson analysis, serum NOX4 and MMP-2 levels significantly positively correlated with VEGF and IL-6 levels, respectively(P<0.001). According to ROC curve, the AUC of NOX4 combined with MMP-2 in the diagnosis of DM complicated with NVG was better than that of individual diagnosis of NOX4(Z=3.341, P<0.05)and MMP-2(Z=2.788, P<0.05). The duration of DM, the proportion of people with intraocular pressure >21 mmHg, and the expression levels of NOX4, MMP-2, VEGF, and IL-6 in the poor prognosis group were all higher than those in the good prognosis group(P<0.001). The duration of DM, intraocular pressure >21 mmHg, the levels of NOX4, MMP-2, VEGF, and IL-6 were all risk factors for poor prognosis in DM patients with NVG(P<0.001). According to ROC curve, the combined prediction of NOX4 and MMP-2 for postoperative complications in patients with DM complicated by NVG was superior to the AUC predicted by NOX4(Z=3.727, P<0.05)and MMP-2(Z=2.219, P<0.05), respectively.CONCLUSION:NOX4 and MMP-2 are upregulated in the serum of patients with DM complicated by NVG. Combined detection of these two markers holds significant clinical value for the early diagnosis and prognosis of patients with DM complicated by NVG.

AIM: To investigate the relationship between serum levels of sirtuins(Sirts)1-6 and oxidative stress markers, and to evaluate their diagnostic value for age-related cataract(ARC).METHODS:A prospective cohort of ARC patients admitted to the hospital between June 2019 and July 2021 was enrolled as the study subjects. Concurrently, age-matched healthy individuals undergoing routine physical examinations at the hospital during the same period were recruited as the control group. Baseline demographic and clinical characteristics were compared between the two groups. Serum levels of Sirt1-6 and oxidative stress markers including malondialdehyde(MDA), superoxide dismutase(SOD), glutathione peroxidase(GSH-Px), and total antioxidant capacity(TAC)were compared. Pearson correlation analysis was performed to assess the associations between serum Sirt1-6 levels and oxidative stress parameters. Multivariate Logistic regression analysis was conducted to analysis risk factors associated with ARC occurrence. Receiver operating characteristic(ROC)curve was used to evaluate the diagnostic value of serum Sirt1-6 levels and oxidative stress indicators for ARC.RESULTS: The study included 127 ARC patients, comprising 68 men and 59 women, with a mean age of 66.05±2.58 y; the concurrent control group consisted of 121 patients, comprising 63 men and 58 women, with a mean age of 65.54±2.86 y. Serum levels of Sirt1, 3 and 6, SOD, GSH-Px, and TAC were significantly lower in the ARC group compared to the control group(all P<0.001), whereas MDA levels were markedly elevated(P<0.001). Pearson correlation analysis revealed that serum levels of Sirt1, Sirt3, Sirt6 in the ARC group were positively correlated with SOD, GSH-Px, and TAC, and negatively correlated with MDA. Multivariate Logistic regression analysis demonstrated that serum Sirt1, Sirt6, MDA, SOD, and GSH-Px were significantly associated with the occurrence of ARC(all P<0.001). ROC curve analysis showed that the combination of Sirt1, Sirt6, MDA, SOD, and GSH-Px yielded an area under the curve(AUC)of 0.995 for diagnosing ARC, which was significantly higher than that of Sirt1 alone(Z=4.978,P<0.001), Sirt6 alone(Z=7.487,P<0.001), MDA alone(Z=6.449,P<0.001), SOD alone(Z=5.773,P<0.001), or GSH-Px alone(Z=5.056,P<0.001), indicating superior diagnostic accuracy of the multimarker panel(P<0.05). CONCLUSION: Serum levels of Sirt1, 3, and 6 are generally reduced in ARC patients and are closely associated with oxidative stress imbalance. Specifically, decreased serum levels of Sirt1 and Sirt6, along with oxidative stress markers(elevated MDA and reduced SOD and GSH-Px)are identified as risk factors for ARC. Moreover, the combined detection of these indicators presents high diagnostic value for ARC.

BackgroundIndividuals with chronic multimorbidity exhibit a high prevalence of sleep disturbances， which impair their physical and psychological well-being and impede chronic disease management. Although sleep quality is closely influencing with psychological functioning， empirical evidence regarding the longitudinal trajectories of sleep quality and their influencing factors in this population remains insufficient. ObjectiveTo investigate the longitudinal trajectories of sleep quality and associated factors among patients with chronic multimorbidity from hospitalization through 6 months post-discharge， aiming to facilitate the early identification of high-risk individuals and the development of personalized sleep interventions. MethodsA total of 228 inpatients with chronic multimorbidity， primarily with cardiovascular and metabolic chronic conditions， were enrolled via random sampling at The Third People's Hospital of Fuyang from January 2023 to September 2024. Baseline assessments were conducted during hospitalization using the general socio-demographic questionnaire， the Sleep Dysfunction Rating Scale （SDRS）， the Ruminative Response Scale （RRS）， and the Hospital Anxiety and Depression Scale （HADS）. Sleep quality was further evaluated using the SDRS at 1-， 3-， and 6-month post-discharge. Latent class growth model was employed to delineate trajectories of sleep quality. Multivariate logistic regression analysis was subsequently performed to identify influencing factors of sleep quality. ResultsA total of 201 patients with chronic diseases were included.Based on four predefined assessment time points （baseline， 1 month， 3 months， 6 months post-discharge）， the latent class growth model identified three distinct trajectories of sleep quality： persistent high sleep disturbance （n=72， 35.82%）， moderate sleep disturbance-progression （n=73， 36.32%）， and low sleep disturbance （n=56， 27.86%）. Multivariate logistic regression analysis revealed that， compared with the low sleep disturbance group， multiple factors increased the odds of membership in the persistent high sleep disturbance group： per capita monthly household income of <3 000 yuan （β=13.131， P<0.01） or 3 000–5 000 yuan （β=5.913， P<0.05）， aged 45–65 years （β=9.536， P<0.05）， presence of 3 （β=7.792， P<0.05） or >3 comorbid chronic conditions （β=6.626， P<0.05）， as well as higher RRS （β=0.334， P<0.01） and HADS score （β=1.628， P<0.01）. Additionally， patients aged 45–65 years （β=2.777， P<0.05）， with 3 （β=3.802， P<0.01） or >3 comorbid chronic conditions （β=2.463， P<0.01）， and with higher RRS （β=0.111， P<0.01） and HDAS scores （β=0.350， P<0.05） also demonstrated significantly increased odds of belonging to the moderate sleep disturbance–progression group. ConclusionThere is significant population heterogeneity in sleep quality trajectories among patients with chronic multimorbidity， with age， per capita household monthly income， number of comorbidities， rumination， and anxiety/depression symptoms being identify as the primary influencing factors.

ObjectiveTo construct and evaluate various machine learning models for predicting the risk of chronic obstructive pulmonary disease （COPD） in individuals， thereby providing data support for early screening and intervention. MethodsA total of 823 subjects were selected for this study， comprising 142 individuals in the high-risk group for COPD and 681 individuals in the low-risk group. Data collected included demographic characteristics， smoking history， symptoms （such as cough and shortness of breath）， and scores from the Chronic obstructive pulmonary disease screening questionnaire. Four machine learning algorithms—Logistic regression， random forest， support vector machine， and XGBoost—were utilized to construct risk prediction models. The performance of these models was assessed using 5-fold cross-validation， with evaluation metrics including accuracy， precision， recall， F1-score， area under the receiver operating characteristic curve （AUC）， and average precision （AP）. Furthermore， a feature importance analysis was performed. ResultsThe Logistic Regression model exhibited superior performance， achieving an AUC of 0.982 and an AP of 0.939. This was closely followed by the Random Forest model， which recorded an AUC of 0.975 and an AP of 0.890. Feature importance analysis revealed that smoking history， symptoms of shortness of breath， and body weight were significant predictors. All models demonstrated robust performance in identifying low-risk populations； however， variations were observed in their efficacy in identifying high-risk populations. ConclusionMachine learning models have proven effective in identifying individuals at high risk for COPD. Among these， the Logistic regression model exhibits the best overall performance， efficiently identifying high-risk populations and serving as a valuable clinical auxiliary screening tool. Various models， each with distinct performance characteristics， are suited to different clinical screening scenarios， thereby offering targeted decision-making support for the establishment of a hierarchical and intelligent COPD screening pathway.

Objective To introduce the calculation of the DISO index in multi-dimensional data ranking for disease surveillance, and evaluate its applicability. Methods Using the data from the quality supervision and inspection of infectious disease reporting in Jingzhou City in a certain year as an example, the DISO index was used to rank 16 investigated medical institutions and compared with the TOPSIS method. The consistency between the two evaluation results was analyzed using Spearman correlation. Then, The DISO index from different medical institutions was used to evaluate the ranking of 8 counties (cities, districts). The evaluation indicators for the supervision and inspection included six items: report rate, timely report rate, completeness of report card filling, accuracy of report card filling, consistency rate with network information report, and completeness of valid ID number filling. Results Among the 16 medical institutions, 8 institutions had all six evaluation indicators at 100%. Using the two methods to rank the 16 medical institutions, the two methods showed that the 8 medical institutions with all six evaluation indicators at 100% were ranked first. There was a strong correlation between the rankings of the 16 medical institutions using the two methods (r_s=0.992, P=0.000). The three counties (cities, districts) with all six evaluation indicators at 100% were all ranked first, while country G was ranked seventh and country E was ranked eighth. Conclusion The results of the DISO index and the TOPSIS method were similar in one-dimensional ranking. DISO can be used for multi-dimensional ranking of disease surveillance data and deserves to be promoted and applied.

OBJECTIVE To investigate the clinical efficacy of integrating pharmacists into family health teams （FHTs） for long-term medication therapeutical management （MTM） in stroke patients， and empirically evaluate the service model. METHODS A pharmacist team， jointly established by clinical and community pharmacists from the Affiliated Suzhou Hospital of Nanjing Medical University （hereinafter referred to as “our hospital”）， developed a pharmacist-supported MTM model integrated into FHTs. Using a prospective randomized controlled design， 170 stroke patients discharged from our hospital （July 2022-December 2023） and enrolled in FHTs at Suzhou Runda Community Hospital were randomly divided into trial group （88 cases） and control group （82 cases） according to random number table. The control group received routine FHTs care （without pharmacist involvement in the team collaboration）， while the trial group xhz8405@126.com received 12-month MTM services supported by pharmacists via an information platform. These services specifically included innovative interventions such as personalized medication regimen optimization based on the MTM framework， dynamic medication adherence management， medication safety monitoring， a home medication assessment system， and distinctive service offerings. Outcomes of the 2 grousp were compared before and after intervention， involving medication adherence （adherence rate， adherence score）， compliance rates for stroke recurrence risk factors [blood pressure， low-density lipoprotein cholesterol （LDL-C）]， and incidence of adverse drug reactions （ADR）. RESULTS After 12 months， the trial group exhibited significantly higher medication adherence rates， improved adherence scores， higher compliance rates for blood pressure and LDL-C targets compared to the control group （P＜0.05）. The incidence of ADR in the trial group （4.55%） was significantly lower than that in the control group （8.11%）， though the difference was not statistically significant （P＞ 0.05）. CONCLUSIONS Pharmacist involvement in FHTs to deliver MTM services significantly enhances medication adherence and optimizes risk factor for stroke recurrence， offering practical evidence for advancing pharmaceutical care in chronic disease management under the family doctor system.

Pulmonary sarcoidosis is an immune system disease with an unclear etiology. Guided by the yang-reinforcing method， it is believed that the fundamental pathogenesis of pulmonary sarcoidosis lies in the disharmony between water and fire and the reckless movement of the ministerial fire. The failure of the spleen and stomach to maintain warmth， leading to the production of phlegm and blood stasis， is an important pathogenesis. The invasion of external pathogenic toxins， deeply penetrating into the interior， is considered a triggering factor for the disease. The treatment focuses on supplementing the yang， consolidating the kidney， drawing fire back to its source， warming the yang， benefiting the kidney， and nourishing the spleen to generate metal. It also emphasizes unblocking the yang， transforming turbidity， and eliminating phlegm and blood stasis.

Objective: To explore the relative importance of different food attributes and levels in food decision making of school aged children, and to understand their meal preferences, so as to provide the evidence for formulating precise intervention strategies for dietary behaviours of school aged children. Methods: From May to June 2024, a total of 854 children aged 11 to 15 years old were selected from 2 middle schools (each school in urban and rural areas) in both Hubei Province and Anhui Province by stratified cluster random sampling method to conduct a D-optimal discrete choice experiment. The mixed Logit model was used to analyze children s preference for meal attributes and different levels, and to calculate the relative importance (RI) of attributes and willingness to pay (WTP) in meal choices. Results: The included five food attributes had statistical significance on meal choice of school aged children ( P <0.05). The relative importance of food attributes affecting the meal choices of school aged children in descending order were dining mode ( RI =31.26%), food varieties ( RI =30.56%), cooking method( RI =23.84%), taste( RI =8.06%) and price ( RI =6.27%). Among them, school aged children preferred home cooked meals ( β =0.74) (WTP=86.3 yuan),varied foods(grain/tubers+vegetables+fish, meat, eggs and beans) ( β =0.61) (WTP=71.9 yuan), fried/roasted cooking ( β =0.51) and spicy taste ( β =0.33).Price was negatively correlated with meal choices( β =-0.01) ( P <0.05). Based on residential area and body mass index (BMI), the stratified analysis showed that dining mode was highest in the relative importance for rural children with overweight and obese children ( RI =31.28%,34.17%), both of whom preferred home cooked meals ( β =0.76, 0.91), and meals containing fish, meat, eggs and beans with grain/tubers or grain/tubers and vegetables in terms of food choice (area: β =0.53, 0.53 ; BMI: β =0.55, 0.56) ( P <0.05). Conclusions School aged children have different preferences for different attributes of meals. The quality of school meals should be improved,the cost of buying healthy meals should be reduced,targeted family health education should be carried out,and healthy cooking methods should be advocated.