1.Analysis of data from the survey of radiotherapy resources in Gansu Province, China, 2024
Jialong WU ; Yun WANG ; Hanyu ZHANG ; Jie WANG ; Yanjun WANG ; Fang WANG ; Qian WANG ; Ruiying WANG ; Xiangru QU ; Limei NIU ; Qin CHEN
Chinese Journal of Radiological Health 2026;35(1):1-5
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.
2.Association between sleep patterns and myopia progression in younger school-age children in Changning District, Shanghai
Zihan JIANG ; Cidan YANGZONG ; Zeyan JIN ; Weiyi WEI ; Hong PANG ; Lei QIAN ; Qiaozhen HU ; Jianlin ZHUANG ; Chunjin NIU ; Qian WEI
Shanghai Journal of Preventive Medicine 2026;38(4):296-301
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.
3.Hourly ozone concentration estimation and its health impact study based on ensemble machine learning: A case study of Taiyuan City
Rule DU ; Xiaojuan YANG ; Ruixia NIU ; Yang XU ; Guiming ZHU ; Qian GAO ; Tong WANG
Journal of Environmental and Occupational Medicine 2026;43(1):8-15
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.
4.Clinical analysis of comprehensive surgical treatment for brucellosis with chest wall cyst as its main manifestation
Dingfeng QIAN ; Dingding WU ; Xia ZHANG ; Shijie NIU ; Jinzhi YANG ; Jiang GUO ; Kun LU ; Shengqiang GU
Chinese Journal of Endemiology 2025;44(2):133-136
Objective:To study the comprehensive surgical treatment of brucellosis with chest wall cysts as the main manifestation.Methods:Retrospective analysis was made on the general information epidemiological characteristics, clinical manifestations, laboratory examinations, imaging examinations, treatment and outcomes of five patients with brucellosis mainly manifested by chest wall cysts admitted to the 948 Hospital of the People's Liberation Army from July 2019 to June 2022.Results:Among the 5 patients, there were 4 males and 1 female, aged between 23 and 64 years old, with a clear history of contact with cattle and sheep. The main clinical manifestation was painless cystic masses on the chest wall. Both the serum tiger red plate agglutination test (RBPT) and the test tube agglutination test (SAT) were positive. Four cases were infected with Brucella and one case was infected with Actinobacillus pleuropneumoniae (considered as Brucella infection based on the overall condition). All patients exhibited abnormal chest wall signals (manifesting as hypointense on T1-weighted imaging and hyperintense on T2-weighted imaging) on magnetic resonance imaging(MRI), and were ultimately diagnosed with brucellosis presenting predominantly as chest wall cysts. After complete removal of the chest wall cyst through surgery, a combination treatment of rifampicin capsules and doxycycline hyclate tablets was given for 6 weeks. There were no significant adverse reactions and the wound healed in one stage. During the postoperative follow-up period of 11 - 40 months, MRI reexamination demonstrated no evidence of chest wall cyst recurrence, and all SAT results were negative. Conclusions:Patients with brucellosis presenting as chest wall cysts are clinically rare and lack specific symptoms. Surgical resection of the affected lesion combined with early, standardized, combined, and full course antimicrobial therapy results in a good prognosis for the patient.
5.Exploring the Antidepressant Mechanisms of Citron and Bergamot Based on Network Pharmacology and BDNF/TrkB/CREB Signaling Pathways
Meiqing SONG ; Qian YANG ; Qiming ZHONG ; Yanyan NIU ; Liguo TONG ; Jianyue XING ; Mali FENG ; Lili JIA
World Science and Technology-Modernization of Traditional Chinese Medicine 2025;27(4):1136-1149
Objective Using network pharmacology research methods and animal pharmacology experiments,explore the mechanism of antidepressant effects of traditional Chinese medicine Citron and Bergamot.Methods Using the Traditional Chinese Medicine System Pharmacology Database and Analysis Platform(TCMSP),ETCM,Symmap,Swiss Target Prediction,and Uniprot data platforms,screen the active ingredients and corresponding gene targets of Citron and Bergamot.Obtain depression gene targets using OMIM,TTD,and Cenecards data platforms.Using Venny 2.1 online software,draw Venn diagrams of the intersection of active ingredients and gene targets.Draw network diagrams between drugs,active ingredients,targets,and diseases using Cytoscape 3.7.2 software.Construct a protein-protein interaction(PPI)network diagram using the STRING data platform for intersecting genes.Using the Metascape data platform,perform gene ontology(GO)function and Kyoto Encyclopedia of Genesand and Genomes(KEGG)pathway enrichment analysis.A rat depression model was established using chronic unpredictable mild stress(CUMS)combined with solitary care,and animal experiments were conducted to verify the BDNF/TrkB/CREB signaling pathway obtained from network pharmacology research.Results The research results of network pharmacology methods show that there are 57 antidepressant active ingredients in Citron,65 antidepressant active ingredients in Bergamot,and important active ingredients include Acetic acid,3,4,7-trimethoxycoumarin and Citric acid,etc.Through the data platform,2717 depression targets and 430 intersection targets were identified.Through PPI network analysis,key gene targets for antidepressant effects in Citron and Bergamot were identified,including TP53,Protein kinase B1,CREB-binding protein,Brain derived neurotrophic factor,etc.Through KEGG analysis,it was found that important signaling pathways include pathways in cancer,PI3K-Akt signaling pathway,Neurotrophin signaling pathway,etc.By observing the neurotrophic factor BDNF/TrkB/CREB signaling pathway in depressed rats,the results showed that the medium dose groups of Citron and Bergamot could significantly increase serum BDNF content(P<0.05),and each treatment group could improve the damage of hippocampal neurons in rats.The high and medium dose groups of Citron and Bergamot significantly increased the expression of BDNF protein in the hippocampal CA1 region(P<0.05,P<0.01).Except for the low-dose group,which showed no difference in TrkB mRNA gene expression,all other treatment groups significantly increased the mRNA gene expression levels of hippocampal BDNF,TrkB and CREB(P<0.01).The medium dose group of Citron and Bergamot increased the expression of BDNF protein in the hippocampus(P<0.01),while the medium and low dose groups significantly increased the relative expression of TrkB protein in the hippocampus(P<0.05).The medium dose group showed an increasing trend in the relative expression of CREB protein.Conclusion Traditional Chinese medicine Citron and Bergamot have therapeutic effects on depression models in rats,and the mechanism of action may be related to the BDNF/TrkB/CREB signaling pathway.
6.Analysis of influencing factors and construction of a predictive model for muscle cramps in maintenance hemodialysis patients
Yuetong QIAN ; Jingjing JIN ; Rongfang ZHU ; Xuming SU ; Yaling BAI ; Shenglei ZHANG ; Zhezhe NIU ; Jinsheng XU
Chinese Journal of Nephrology 2025;41(3):189-196
Objective:To analyze the risk factors for muscle cramps in maintenance hemodialysis patients and construct a nomogram prediction model.Methods:It was a retrospective cohort study. Patients undergoing regular hemodialysis at the Blood Purification Center of the Fourth Hospital of Hebei Medical University (West and East Campuses) from June 2023 to December 2023 were enrolled in this study. Patients were divided into a muscle cramps group and a non-muscle cramps group based on whether cramps occurred during or after dialysis. Patients from the West Campus were allocated to the training set, while those from the East Campus were assigned to the validation set, with an approximately 5∶1 ratio. Multivariate logistic regression analysis was used to identify risk factors for muscle cramps in the training set. A nomogram prediction model was constructed using R software. Model performance was evaluated using the receiver operating characteristic curve (ROC), calibration curve, and decision curve analysis in both the training and validation sets.Results:A total of 498 maintenance hemodialysis patients were enrolled, including 409 in the training set (22.98% incidence of muscle cramps) and 89 in the validation set. Multivariate logistic regression analysis revealed that heart failure history ( OR=8.566, 95% CI 2.448-29.979, P=0.001), pre-dialysis corrected narrowed inferior vena cava width ( OR=0.531, 95% CI 0.433-0.650, P<0.001), increased ultrafiltration rate ( OR=1.002, 95% CI 1.001-1.003, P=0.002), decreased hemoglobin level ( OR=0.971, 95% CI 0.948-0.994, P=0.014), and decreased serum albumin ( OR=0.886, 95% CI 0.799-0.982, P=0.021) were independent associated factors for muscle cramps in the training set. The nomogram model based on these factors demonstrated an area under the ROC curve ( AUC) of 0.813 (95% CI 0.760-0.866, P<0.001) in the training set, with a Brier score of 0.129, indicating stable predictive performance. In the validation set, the area under of the ROC curve was 0.821 (95% CI 0.731-0.911, P<0.001) with a Brier score of 0.142. The decision curve showed that the model provided high clinical net benefit when the risk threshold probability for muscle cramps ranged from 0.22 to 0.77. Conclusion:Combined heart failure, narrowed inferior vena cava width, increased ultrafiltration rate, and decreased hemoglobin and serum albumin levels were the independent correlated factors for muscle spasm in maintenance hemodialysis patients. The nomogram model constructed based on these risk factors holds significant clinical value for predicting muscle cramps in maintenance hemodialysis patients.
7.Effect of the axial position of posterior chamber phakic intraocular lens on the early postoperative vault changes
Yi-lin XU ; Qian JIAN ; Xun CHEN ; Yin-jie JIANG ; Ling-ling NIU ; Xiao-ying WANG
Fudan University Journal of Medical Sciences 2025;52(1):83-90
Objective To observe the early changes of vault after implantation of posterior chamber phakic intraocular lens implantable collamer lens(ICL),and investigate the effect of different implantation axes on the early vault changes.Methods A prospective,parallel cohort study was performed,enrolling a total of 124 eyes of who underwent ICL(V4c)implantation in the refractive clinic.The changes of vault were observed by scheimpflug tomography(Pentacam)and anterior segment optical coherence tomography(CASIA2)at 1 day,1 week and 1 month after surgery.Results The ICL vault declined significantly by approximately(108.2±82.4)μm 1 week after surgery with the proportion of 16.6%±12.1%compared with the values 1 day after surgery(P<0.001),and then remained stable.Within 1 month after surgery,excluding the difference in vault baseline at 1 day after surgery,the proportion of vault decline in the middle vault group(250-749 μm)and the high vault group(≥750 μm)was similar,and there was no statistically significant difference.We analyzed the relationship between ICL axial directions and vault and found that the vault decline of the horizontal ICL group stabilized quickly at 1 week after surgery,and the vault decline of the vertical ICL group was more significant within 1 month after surgery(P<0.05).Conclusion The vault of the ICL shows a downward trend in the early stage after implantation.The middle vault group and ICL in the horizontal position stabilizes faster,and the downward trend of the high vault group or ICL in the vertical position is more obvious.
8.Analysis of influencing factors and construction of a predictive model for muscle cramps in maintenance hemodialysis patients
Yuetong QIAN ; Jingjing JIN ; Rongfang ZHU ; Xuming SU ; Yaling BAI ; Shenglei ZHANG ; Zhezhe NIU ; Jinsheng XU
Chinese Journal of Nephrology 2025;41(3):189-196
Objective:To analyze the risk factors for muscle cramps in maintenance hemodialysis patients and construct a nomogram prediction model.Methods:It was a retrospective cohort study. Patients undergoing regular hemodialysis at the Blood Purification Center of the Fourth Hospital of Hebei Medical University (West and East Campuses) from June 2023 to December 2023 were enrolled in this study. Patients were divided into a muscle cramps group and a non-muscle cramps group based on whether cramps occurred during or after dialysis. Patients from the West Campus were allocated to the training set, while those from the East Campus were assigned to the validation set, with an approximately 5∶1 ratio. Multivariate logistic regression analysis was used to identify risk factors for muscle cramps in the training set. A nomogram prediction model was constructed using R software. Model performance was evaluated using the receiver operating characteristic curve (ROC), calibration curve, and decision curve analysis in both the training and validation sets.Results:A total of 498 maintenance hemodialysis patients were enrolled, including 409 in the training set (22.98% incidence of muscle cramps) and 89 in the validation set. Multivariate logistic regression analysis revealed that heart failure history ( OR=8.566, 95% CI 2.448-29.979, P=0.001), pre-dialysis corrected narrowed inferior vena cava width ( OR=0.531, 95% CI 0.433-0.650, P<0.001), increased ultrafiltration rate ( OR=1.002, 95% CI 1.001-1.003, P=0.002), decreased hemoglobin level ( OR=0.971, 95% CI 0.948-0.994, P=0.014), and decreased serum albumin ( OR=0.886, 95% CI 0.799-0.982, P=0.021) were independent associated factors for muscle cramps in the training set. The nomogram model based on these factors demonstrated an area under the ROC curve ( AUC) of 0.813 (95% CI 0.760-0.866, P<0.001) in the training set, with a Brier score of 0.129, indicating stable predictive performance. In the validation set, the area under of the ROC curve was 0.821 (95% CI 0.731-0.911, P<0.001) with a Brier score of 0.142. The decision curve showed that the model provided high clinical net benefit when the risk threshold probability for muscle cramps ranged from 0.22 to 0.77. Conclusion:Combined heart failure, narrowed inferior vena cava width, increased ultrafiltration rate, and decreased hemoglobin and serum albumin levels were the independent correlated factors for muscle spasm in maintenance hemodialysis patients. The nomogram model constructed based on these risk factors holds significant clinical value for predicting muscle cramps in maintenance hemodialysis patients.
9.A Case of Adult-onset Still's Disease Presented with Fever and Neutrophil-dominant Pleural Effusion
Chao NIU ; YuLin MAI ; HanXue LI ; JunYan QIAN ; Wei CAO
Medical Journal of Peking Union Medical College Hospital 2025;16(4):1057-1061
We report a case of adult-onset Still's disease(AOSD)presenting with fever,myalgia,and pleural effusion.The patient exhibited significantly elevated inflammatory markers and exudative pleural effusion with markedly elevated leukocyte count showing neutrophilic predominance.After comprehensive exclusion of infectious etiologies,the diagnosis of AOSD was established.Clinical symptoms resolved following anti-inflam-matory therapy with glucocorticoids and tocilizumab.This case highlights a critical clinical insight:while infec-tion is a common cause of elevated inflammatory markers,it is not an invariable etiology.In such presentations,meticulous clinical observation,thorough diagnostic screening,and systematic inference are es-sential for accurate diagnosis.
10.Clinical analysis of comprehensive surgical treatment for brucellosis with chest wall cyst as its main manifestation
Dingfeng QIAN ; Dingding WU ; Xia ZHANG ; Shijie NIU ; Jinzhi YANG ; Jiang GUO ; Kun LU ; Shengqiang GU
Chinese Journal of Endemiology 2025;44(2):133-136
Objective:To study the comprehensive surgical treatment of brucellosis with chest wall cysts as the main manifestation.Methods:Retrospective analysis was made on the general information epidemiological characteristics, clinical manifestations, laboratory examinations, imaging examinations, treatment and outcomes of five patients with brucellosis mainly manifested by chest wall cysts admitted to the 948 Hospital of the People's Liberation Army from July 2019 to June 2022.Results:Among the 5 patients, there were 4 males and 1 female, aged between 23 and 64 years old, with a clear history of contact with cattle and sheep. The main clinical manifestation was painless cystic masses on the chest wall. Both the serum tiger red plate agglutination test (RBPT) and the test tube agglutination test (SAT) were positive. Four cases were infected with Brucella and one case was infected with Actinobacillus pleuropneumoniae (considered as Brucella infection based on the overall condition). All patients exhibited abnormal chest wall signals (manifesting as hypointense on T1-weighted imaging and hyperintense on T2-weighted imaging) on magnetic resonance imaging(MRI), and were ultimately diagnosed with brucellosis presenting predominantly as chest wall cysts. After complete removal of the chest wall cyst through surgery, a combination treatment of rifampicin capsules and doxycycline hyclate tablets was given for 6 weeks. There were no significant adverse reactions and the wound healed in one stage. During the postoperative follow-up period of 11 - 40 months, MRI reexamination demonstrated no evidence of chest wall cyst recurrence, and all SAT results were negative. Conclusions:Patients with brucellosis presenting as chest wall cysts are clinically rare and lack specific symptoms. Surgical resection of the affected lesion combined with early, standardized, combined, and full course antimicrobial therapy results in a good prognosis for the patient.

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