Objective To investigate the current distribution of radiotherapy resources in Gansu Province, evaluate the equity of resource allocation, and provide a scientific basis for optimizing regional resource allocation. Methods A questionnaire survey was carried out to assess radiotherapy resources in medical institutions across Gansu Province, China. The equity of radiotherapy resource distribution and associated disparities were assessed using the Gini coefficient, Lorenz curve, and Theil index. Results A total of 23 medical institutions in Gansu Province provided radiotherapy services, comprising 39 radiotherapy devices and 438 professionals, of whom medical physicists accounted for 16.9%. The radiotherapy frequency was 0.47 cases per thousand population. The Gini coefficients for radiotherapy resource distribution ranged from 0.38 to 0.56 by population and from 0.52 to 0.70 by geography. The Theil index for radiotherapy resources ranged from 1.36 to 3.67. Conclusion Radiotherapy resources in Gansu Province were insufficient, and the capacity of radiotherapy service was suboptimal. The equity of radiotherapy resource allocation by geography was worse than that by population. Therefore, it is imperative to address the shortage of radiotherapy resources, strengthen the professional workforce, enhance the capacity radiotherapy service and resource utilization, optimize resource allocation, and promote regional equity in radiotherapy provision in Gansu Province.

ObjectiveTo analyze the association between sleep chronotypes and myopia among junior high school students in Changning District of Shanghai, and to provide scientific basis for myopia intervention in this population. MethodsThis study was conducted as a cross-sectional survey using stratified cluster sampling. Four junior high schools in Changning District were selected as the research sites. Two methods were used to assess chronotypes, including the sleep-wake pattern calculated based on sleep duration and the sleep chronotype evaluated by the Morningness-Eveningness Questionnaire-5 items (MEQ-5). Myopia status of students was determined through distant visual acuity examination combined with non-cycloplegic computerized refraction. The χ2 test or t test was used to compare the distribution differences of sleep chronotypes between the myopic and non-myopic groups. Furthermore, a multivariate logistic regression model was used to analyze the association between sleep chronotypes and myopia. Statistical analyses were performed using SPSS 27.0 software. ResultsA total of 801 middle school students participated in this survey, with a screening-based prevalence of myopia of 81.77%. Univariate analyses showed that both the sleep chronotype calculated based on the sleep-wake pattern (χ²=4.54, P=0.033) and the sleep chronotype assessed by the MEQ-5 (χ²=12.75, P=0.013) were statistically associated with myopia. After adjusting for grade, maternal age at birth, parental myopia, frequency of weekend outdoor activities, and sleep duration, multivariate analyses indicated that a higher grade (e.g., grade 9: OR=3.63, 95%CI=1.92‒6.87) and myopia in both parents (OR=2.73, 95%CI=1.23‒6.06) were associated with a higher risk of myopia. In contrast, older maternal age at birth (OR=0.64, 95%CI=0.49‒0.85) and more frequent weekend outdoor activities (e.g., 1‒2 times per week: OR=0.21, 95%CI=0.05‒0.88; ≥5 times per week: OR=0.16, 95%CI=0.04‒0.71) were associated with a lower risk of myopia. The association between MEQ-5 chronotype and myopia was not statistically significant after multivariate adjustment (P=0.124). However, compared with the “absolute evening type”, the odds ratios (ORs) for myopia risk across sleep chronotypes decreased from 3.22 (moderate evening type) to 0.57 (absolute morning type), with fluctuations in between (0.95 for the “intermediate type” and 0.98 for the “moderate morning type”). ConclusionA sleep chronotype tending toward the “evening type” in junior high school students may be associated with an increased risk of myopia, and this association requires further prospective studies to validate.

ObjectiveTo investigate the correlation between sleep patterns and myopia progression among younger school-age children at a primary school in Changning District of Shanghai, based on the data from the Shanghai Students’ Common Diseases and Health Influencing Factors Monitoring System and a sleep-specific survey, so as to provide data support for myopia prevention and control in this age group. MethodsOne primary school was selected from the common diseases and health influencing factors monitoring system for students in Changning District, Shanghai. A total of 230 first-grade students were included in the study. Myopia and refractive parameters were examined, and sleep patterns were investigated. General demographic characteristics and myopia-related behavior data of the students were also collected. Sleep patterns were evaluated in terms of sleep duration, sleep efficiency, and sleep quality, with the latter assessed using the Chinese version of the Children’s Sleep Habits Questionnaire (CSHQ). Multiple linear regression and binary logistic regression models were used to analyze the association between sleep patterns and myopia progression among these students. ResultsThe results of the regression analyses revealed that the total CSHQ score of the students at baseline survey was (48.85±7.15) points. Their sleep efficiency was (94.49±8.48)%, sleep duration was (9.58±0.93) hours, and the proportion of those with insufficient sleep (<10 hours) was 78.26%. At baseline survey, students’ higher daytime sleepiness scores were associated with lower spherical equivalent (SE) ( β=-0.18, 95%CI: -0.31 to -0.04) and an increased risk of axial length (AL) / corneal radius (CR) ratio >3 (OR=1.52, 95%CI: 1.00 to 2.29), whereas longer sleep duration and higher sleep efficiency were associated with higher SE (β=0.18, 95%CI: 0.05 to 0.32; β=0.17, 95%CI: 0.04 to 0.31, respectively), shorter (AL) (β=-0.15, 95%CI: -0.27 to -0.03; β=-0.13, 95%CI: -0.25 to 0, respectively) and a reduced risk of AL /CR>3 (OR=0.70, 95%CI: 0.51 to 0.96; OR=0.73, 95%CI: 0.53 to 0.99, respectively). At baseline survey, children’s higher propensity for sleep problems (OR=1.70, 95%CI: 1.04 to 2.78), sleep resistance (OR=2.26, 95%CI: 1.36 to 3.75), and sleep anxiety scores (OR=2.15, 95%CI: 1.33 to 3.48) were all associated with an increased risk of AL/CR >3 at follow-up (all P<0.05). Furthermore, higher sleep anxiety scores predicted prolonged AL at follow-up (β=0.03, 95%CI: 0 to 0.05). According to the mixed-effects model, higher daytime sleepiness scores and prolonged sleep duration were independently linked to reduced right-eye SE (β=-0.05, 95%CI: -0.10 to 0, P<0.05) and shorter right-eye AL (β=-0.05, 95%CI: -0.10 to 0, P<0.05). ConclusionIn this school in Shanghai, there are problems of insufficient and poor-quality sleep among young children. Sleep problems such as sleep resistance, delayed sleep onset, sleep anxiety, and daytime sleepiness among children may accelerate the risk of myopia progression, while longer sleep duration and higher sleep efficiency may serve as protective factors against the occurrence and development of myopia.

Background Ozone (O₃) is a major air pollutant. The existing monitoring system has uneven distribution of sites, insufficient coverage in underdeveloped areas, and low temporal resolution, making it difficult to obtain hourly data. This limits the dynamic identification of pollution and the formulation of prevention and control strategies. Objective To construct an hourly O₃ concentration estimation model based on ensemble machine learning, aiming to improve the accuracy of pollution exposure assessment and explore O₃ health impacts. Methods This study integrated land use regression modeling with modern machine learning techniques, employing random forest and XGBoost algorithms to construct base models, and stacking integration using non-negative least squares. The ensemble model was trained and validated across China using high-resolution, multi-source geographic data (e.g., meteorologicaldata, population density, land cover types, and aerosol optical thickness). It was tested in Taiyuan City, combined with a distributed lag non-linear model to analyze the association between O₃ and emergency admissions. Results The constructed ensemble model performed well in predicting O₃ concentration, with a higher coefficient of determination (R²) and a lower root-mean-square deviation (RMSE) compared to the single models. The R² improved from 0.90 to 0.92, and the RMSE decreased from 11.41 to 10.62, enhancing both prediction accuracy and generalization ability. In the application to Taiyuan City, the model successfully imputed the hourly-level data for the entire year. The distributed lag non-linear model analysis revealed that the relative risk (RR) values for the 6th to 8th days following O₃ exposure were 1.14 (95%CI: 1.01, 1.29), 1.16 (95%CI: 1.02, 1.31), and 1.14 (95%CI: 1.01, 1.29), respectively, which were significantly higher than 1, indicating a significant lagged association (lagged 6-8 d) between O₃ and the number of emergency room visits. Conclusion A high-precision, hourly-level O₃ concentration estimation model is successfully constructed by combining the land use regression model with an ensemble machine learning approach to provide a scientific basis for environmental policy formulation and public health intervention. The application of the model verifies its generalization ability and practical application value, which can provide a new technical framework for subsequent environmental health research.

Pregnancy complicated by aortic root aneurysm in patients with Marfan syndrome is one of the main causes of termination of pregnancy or even death in pregnant women. A very small number of pregnant women require cardiac surgery to preserve pregnancy under extracorporeal circulation, and all surgeries use aortic root replacement. We reported a 30-year-old patient with severe aortic regurgitation combined with giant aortic root aneurysm and Marfan syndrome in mid-pregnancy. Valve-sparing root replacement using reimplantation technology was performed via a multidisciplinary cooperation model. This not only achieved the patient’s desire to continue pregnancy but also avoided the anticoagulation and bleeding complications brought by mechanical valve replacement, reduced pregnancy risks and improved long-term quality of life. Postoperative echocardiography showed a small amount of aortic valve regurgitation, aortic valve coaptation height of 0.6 cm, effective height of 1.1 cm, maximum aortic flow velocity of 1.4 m/s, mean transvalvular pressure gradient of 4.4 mm Hg, and satisfactory clinical results.

Objective:To evaluate the accuracy and feasibility of an automated scanning and uptake system to assist pathologists with hu-man epidermal growth factor receptor 2(HER2)FISH interpretation.Methods:HER2 gene amplification is detected using FISH,and"result interpretation by independent pathologists"is regarded as the"gold standard."The consistency of"human-machine dialogue results"(use of a CytoVision* system combined with manual interpretation)and"CytoVision*-based automated interpretation"with the"gold standard"was assessed.Results:Consistency between"human-machine dialogue results"and the"gold standard"can surpass 91%,with the former method saving up to 50%of the manual operation time.The tendency of each cell nucleus's HER2 copy number to be"underestimated"is the main reason for the low sensitivity observed in cases with low copy number amplification and HER2 heterogeneous expression cases in"human-machine dialogue interpretation."Conclusions:Automatic FISH image analysis and uptake systems simulate the process of manu-ally interpreted cell selection,ensure random cell selection,and improve work efficiency.With its accurate selection of the hybridization re-gion and"human-computer dialogue,"the system is expected to"replace"interpretation by independent pathologists.

Objective To analyze the relationship of capillary index score(CIS)with postoperative outcome in the patients with middle cerebral artery(MCA)M1 segment stenosis after endovascu-lar stent implantation.Methods A total of 122 eligible patients in our hospital from April 2021 to April 2023 were retrospectively recruited,and according to postoperative status,they were classi-fied into a good prognosis group(89 cases)and a poor prognosis group(33 cases).The clinical data were collected,and the preoperative and postoperative CIS values were evaluated.Spearman correlation analysis was applied to analyze the correlation of CIS with prognosis of the patients.ROC curve was plotted to evaluate the value of CIS in predicting postoperative prognosis,and multivariate logistic regression analysis was utilized to analyze the factors affecting the postopera-tive prognosis.Results The poor prognosis group exhibited significantly lower CIS,and larger proportions of aged ≥75 years,diabetes and history of stroke than the good prognosis group(P＜0.05,P＜0.01).Spearman correlation analysis found that CIS was positively correlated with prog-nosis after endovascular stent implantation in the patients with MCA M1 segment stenosis(r=0.446,P=0.000).ROC curve analysis revealed that the AUC,cut-off value,sensitivity and speci-ficity of CIS in predicting the postoperative outcomes in these patients was 0.790(95％CI:0.706-0.858),2.17,84.85％and 66.29％,respectively(P＜0.05).Multivariate logistic analysis suggested that age ≥75 years,history of stroke,and concurrent diabetes were high risk factors for poor prognosis in the patients after endovascular stent implantation(P＜0.05,P＜0.01),and CIS was a protective factor(OR=0.439,95％CI:0.294-0.655,P=0.000).Conclusion CIS is closely correlated with the prognosis of patients with MCA M1 segment stenosis after endovascular stent implantation.Early evaluation of CIS can provide certain predictive value for postoperative out-comes of these patients.

Objective:To observe the effects of Qizhi Tongluo Prescription on renal interstitial fibrosis in rats with membranous nephropathy based on the Shh/Gli1 signaling pathway; To explore its intervention mechanism.Methods:Totally 60 male SD rats were divided into blank group ( n=10) and model group ( n=50) using random number table method. The model of membranous nephropathy was established according to the modified Border method. The successfully modeling rats were divided into model group, benazepril group and Qizhi Tongluo Prescription low-, medium- and high-dosage groups using random number table method. Benazepril group was gavaged with benazepril hydrochloride 10 mg/kg, Qizhi Tongluo Prescription low-, medium- and high-dosage groups were gavaged with Qizhi Tongluo Prescription solution 1.22 g/kg, 2.43 g/kg and 4.86 g/kg, and blank group and model group were gavaged with equal volume of normal saline, once a day, for 4 weeks. The 24-hour urine was collected to detect the 24-hour urinary protein quantification, and the blood was taken from the abdominal aorta to detect the levels of total cholesterol (TC), triglyceride(TG), and serum albumin(ALB); the pathological changes of rat kidney were observed by light microscope and transmission electron microscope; the protein expressions of sonic hedgehog factor (Shh), zinc finger protein 1 (Gli1) and α-smooth muscle actin (SMA) in renal tissues were detected by immunohistochemistry; the protein expressions of Shh, Gli1, α-SMA, TGF-β1, Collagen Ⅳ and plasminogen activator inhibitor-1 (PAl-1) in renal tissues were detected by Western blot. Results:Compared with the model group, the quantitative level of 24-hour urinary protein of rats in each administration group decreased ( P<0.05), serum TC and TG levels increased ( P<0.05), ALB level decreased ( P<0.05), the positive expressions of Shh, Gli1, α-SMA protein in renal tissue decreased ( P<0.05), and the protein expressions of Shh, Gli1, α-SMA, Collagen Ⅳ, TGF-β1, PAI-1 in renal tissue decreased ( P<0.05). Conclusion:Qizhi Tongluo Prescription can improve renal interstitial fibrosis in membranous nephropathy rats, possibly by inhibiting the Shh/Gli1 signaling pathway to delay renal interstitial fibrosis.

Background:To compare the efficacy and safety of monthly administrations of gonadotropin releasing hormone (GnRH) agonists LY01005 and Zoladex ? in Chinese patients with premenopausal breast cancer. Methods:From October 2020 to November 2021, 188 premenopausal breast cancer patients were enrolled in 34 hospitals and randomized 1:1 to receive either LY01005 or Zoladex ? every 28 days for a total of three injections. All patients concomitantly received oral tamoxifen (TAM). The primary efficacy endpoint was cumulative probability of maintaining menopausal level [oestradiol (E2) ≤30 pg/ml] from day 29 to day 85. The second efficacy endpoint included changes in E2, luteinizing hormone (LH), and follicle-stimulating hormone (FSH) compared with the baseline. Pharmacokinetics (PK), pharmacodynamics (PD), and safety were analyzed. The study also evaluated the pharmacokinetic and pharmacodynamic characteristics of LY01005. Results:A total of 188 patients were randomised and 187 patients received either LY01005 or Zoladex ?. Cumulative probabilities of maintaining menopausal level (E2≤30 pg/ml) from day 29 to day 85 were 93.1% for LY01005 and 86.3% for Zoladex ?. The between-group difference was 6.8% (95% CI: -2.3%, 15.9%) and primary efficacy in the LY01005 group was not inferior to that in the Zoladex ? group. Changes in E2, LH, and FSH levels compared with the baseline were equivalent between the two groups (E2: 89.34% to 90.23% vs. 82.11% to 85.02%; LH: 88.89% to 95.52% vs. 89.70% to 97.02%; FSH: 75.36% to 80.85% vs.73.07% to 80.24%, respectively). After three consecutive doses of LY01005, the LH and FSH levels of the subjects showed a transient increase after the first dose, reached a peak on the second day and then started to decrease. The LH and FSH reached a lower level and remained at or below that level until the 85th day. Both treatments were well-tolerated. Conclusion:LY01005 is as effective as Zoladex ? in suppressing E2 to menopausal levels in Chinese patients with premenopausal breast cancer, with a similar safety profile.

Objective:To establish a mouse model of liver cancer resistant to PD-1 monoclonal antibody and analyze the changes in its metabolomics to explore the potential mechanism of drug resistance.Methods:BALB/c mice were randomly divided into control and treatment groups after being loaded with tumor,and a normal group was additionally set up.The normal and control groups were injected with saline,and the treatment group was injected with PD-1 monoclonal antibody,after which the mice in the treatment group were screened for drug resistant and response groups.Observed the drug-resistant situation,body mass,tumor growth and survival rate of mice in each group,calculate the spleen index.The pathological features of tumor tissues were observed by HE staining method.Serum metabolites were detected by non-targeted metabolomics.Finally,a bivariate Pearson correlation analysis was conducted between the differential serum metabolites and tumor size.Results:The tumor-bearing mouse model with PD-1 monoclonal antibody resistance was successfully established,and the drug resistance rate of the mice was 50％.Compared with the normal and response groups,mice in the resistant group showed an increase in body weight,a significant increase in tumor volume,a decrease in survival rate,and a significant increase in splenic index.There was less lymphocyte infiltration in the tumor tissue.Metabolomics analysis showed that the serum levels of glutamic acid and aspartic acid increased and malic acid decreased in the resistant mice compared with the response group,and these changes were closely related to the arginine biosynthesis pathway.Conclusions:The tumor-bearing mouse model with PD-1 monoclonal antibody resistance was successfully established.The changes in its peripheral serum metabolomics mainly involve arginine metabolism and the related changes of aspartate,malate and glutamate.