BACKGROUND: Approximately 40% of individuals with diabetes worldwide are at risk of developing diabetic kidney disease (DKD), which is not only the leading cause of kidney failure, but also significantly increases the risk of cardiovascular disease, causing significant societal health and financial burdens. This study aimed to describe the burden of DKD and explore its cross-country epidemiological status, predict development trends, and assess its risk factors and sociodemographic transitions. METHODS: Based on the Global Burden of Diseases (GBD) Study 2021, data on DKD due to type 1 diabetes (DKD-T1DM) and type 2 diabetes (DKD-T2DM) were analyzed by sex, age, year, and location. Numbers and age-standardized rates were used to compare the disease burden between DKD-T1DM and DKD-T2DM among locations. Decomposition analysis was used to assess the potential drivers. Locally weighted scatter plot smoothing and Frontier analysis were used to estimate sociodemographic transitions of DKD disability-adjusted life years (DALYs). RESULTS: The DALYs due to DKD increased markedly from 1990 to 2021, with a 74.0% (from 2,227,518 to 3,875,628) and 173.6% (from 4,122,919 to 11,278,935) increase for DKD-T1DM and DKD-T2DM, respectively. In 2030, the estimated DALYs for DKD-T1DM surpassed 4.4 million, with that of DKD-T2DM exceeding 14.6 million. Notably, middle-sociodemographic index (SDI) quintile was responsible for the most significant DALYs. Decomposition analysis revealed that population growth and aging were major drivers for the increased DKD DALYs in most regions. Interestingly, the most pronounced effect of positive DALYs change from 1990 to 2021 was presented in high-SDI quintile, while in low-SDI quintile, DALYs for DKD-T1DM and DKD-T2DM presented a decreasing trend over the past years. Frontiers analysis revealed that there was a negative association between SDI quintiles and age-standardized DALY rates (ASDRs) in DKD-T1DM and DKD-T2DM. Countries with middle-SDI shouldered disproportionately high DKD burden. Kidney dysfunction (nearly 100.0% for DKD-T1DM and DKD-T2DM), high fasting plasma glucose (70.8% for DKD-T1DM and 87.4% for DKD-T2DM), and non-optimal temperatures (low and high, 5.0% for DKD-T1DM and 5.1% for DKD-T2DM) were common risk factors for age-standardized DALYs in T1DM-DKD and T2DM-DKD. There were other specific risk factors for DKD-T2DM such as high body mass index (38.2%), high systolic blood pressure (10.2%), dietary risks (17.8%), low physical activity (6.2%), lead exposure (1.2%), and other environmental risks. CONCLUSIONS DKD markedly increased and varied significantly across regions, contributing to a substantial disease burden, especially in middle-SDI countries. The rise in DKD is primarily driven by population growth, aging, and key risk factors such as high fasting plasma glucose and kidney dysfunction, with projections suggesting continued escalation of the burden by 2030.
Humans ; Global Burden of Disease ; Risk Factors ; Male ; Female ; Disability-Adjusted Life Years ; Diabetic Nephropathies/epidemiology* ; Middle Aged ; Diabetes Mellitus, Type 2/epidemiology* ; Adult ; Diabetes Mellitus, Type 1/complications* ; Aged ; Adolescent ; Young Adult ; Quality-Adjusted Life Years

Background Water serves as an indispensable resource for human survival and constitutes one of the primary means through which humans are exposed to environmental chemicals. Consequently, the safety of drinking water is critical to safeguarding public health. Objective To analyze the levels of the 10 metal/metalloid indicators [Al, Fe, Mn, Cu, Zn, As, Cd, Cr(VI), Pb, and Hg] in drinking water from a region of the Fuchun River Basin, and to evaluate the health risks in drinking water through oral ingestion. Methods In accordance with the national Standard Examination Method for Drinking Water – Part 2: Collection and Preservation of Water Samples (GB/T 5750-2006 and GB/T 5750-2023), a total of 2016 drinking water samples were collected from urban and rural water supply systems in a region of the Fuchun Basin from 2017 to 2024. Two batches of water samples were collected annually during the dry and wet seasons, with each batch comprising 72 samples from the urban water supply system and 54 samples from the rural water supply system. These samples were analyzed according to the Standard Examination Method for Drinking Water – Part 6: Metal and Metalloid Indicators (GB/T 5750-2006 and GB/T 5750-2023) and the results were compared with the limits specified in the Standards for Drinking Water Quality (GB 5749-2022). Health risks were evaluated using the U.S. Environmental Protection Agency (EPA) health risk assessment model. Results All tested metal/metalloid elements in the drinking water samples of the area met the national standards. The results of risk assessment showed that the non-carcinogenic risks associated with oral intake of drinking water, ranked from highest to lowest, were as follows: As>Cr(VI)>Pb>Cd>Hg>Mn>Cu>Zn>Fe>Al, with values of 4.55×10⁻², 2.79×10⁻², 2.06×10⁻², 1.20×10⁻², 4.95×10⁻³, 4.58×10⁻³, 2.85×10⁻³, 1.95×10⁻³, 1.52×10⁻³, and 9.21×10⁻⁴, respectively. The non-carcinogenic risk of each indicator was less than 1, which suggested no potential risk to population health. The carcinogenic risks ranked as Cr(VI)>As>Cd>Pb, with values of 4.18×10⁻⁵, 2.05×10⁻⁵, 3.85×10⁻⁶, and 2.45×10⁻⁷, respectively. The carcinogenic risks of Cr(VI), As, and Cd were between 10⁻⁶ and 10⁻⁴, which suggested an acceptable carcinogenic risk, while the carcinogenic risk of Pb was relatively negligible. Children's total non-carcinogenic/total carcinogenic risks were comparable to those of adult males, both higher than those of adult females. Additionally, rural areas exhibited higher non-carcinogenic/carcinogenic risks for Cr(VI), while those risks for As and Pb were lower than those in urban water samples, and those risks for Cd were comparable between the two. Conclusion The concentrations of the 10 metal/metalloid indicators in drinking water from the studied region in the Fuchun River Basin comply with the national standards from 2017 to 2024. There is a certain carcinogenic risk associated with oral intake of drinking water, but it is still within the acceptable range. In terms of non-carcinogenic risk, no potential threat to population health is anticipated.

Purpose To evaluate the value of preoperative MRI-based radiomic models for assessing tumor-infiltrating CD8+T-cell expression in glioblastoma patients,and to identify the most stable and efficient radiomic feature region for predicting prognosis following immunotherapy.Materials and Methods This retrospective study included 150 patients with histopathologically confirmed glioblastoma from Lanzhou University Second Hospital(January 2018 to April 2022).Tumor-infiltrating CD8+T-cell expression was quantitatively assessed using immunohistochemical staining,with patients stratified into CD8-high and CD8-low expression groups based on overall survival.A total of 1 185 radiomic features were extracted from each patient's contrast-enhanced T1C and T2WI images,covering the original tumor region and sequentially expanded peritumoral regions(2.5 mm,5.0 mm,7.5 mm,10.0 mm,12.5 mm,15.0 mm morphological dilation of tumor core+peritumoral area).Feature selection was performed using variance threshold,minimum redundancy maximum relevance,and least absolute shrinkage and selection operator methods.XGBoost classifier was employed to construct clinical,radiomic,and clinical-radiomic multimodal combined prediction models.Diagnostic performance was evaluated using receiver operating characteristic curve analysis.Results The radiomic model based on tumor expansion of 7.5 mm(tumor+peritumoral region)demonstrated optimal predictive performance.The clinical-radiomic multimodal combined model showed superior predictive capability compared to clinical and radiomic models alone,achieving an area under the curve of 0.991 and accuracy of 99.0%in the training set,and area under the curve of 0.840 with accuracy of 80.0%in the validation set.Conclusion MRI radiomics provides a feasible approach for evaluating tumor-infiltrating CD8+T-cell expression in glioblastoma patients,offering potential for preoperative prognosis prediction.

To summarize the nursing experience of a patient with uremia on maintenance hemodialysis complicated by recurrent ventricular tachycardia and treated with transcatheter radiofrequency ablation.Key nursing interventions included:dynamically assessing the patient's coagulation and bleeding status,being vigilant against the occurrence of deep vein thrombosis,and preventing local and major organ bleeding;implementing goal-oriented volume management strategies to prevent electrolyte disorders;the strengthened management of vascular access to reduce risks of stenosis or occlusion in the arteriovenous fistula;conducting precise assessment and comprehensive intervention to reduce the patient's psychological and mental burden.After careful treatment and nursing care,the patient was stable and discharged on the 6th postoperative day.During the 2-month outpatient follow-up,cardiac function indicators were normal,and the fistula was unobstructed,and the patient recovered well.

Purpose To evaluate the value of preoperative MRI-based radiomic models for assessing tumor-infiltrating CD8+T-cell expression in glioblastoma patients,and to identify the most stable and efficient radiomic feature region for predicting prognosis following immunotherapy.Materials and Methods This retrospective study included 150 patients with histopathologically confirmed glioblastoma from Lanzhou University Second Hospital(January 2018 to April 2022).Tumor-infiltrating CD8+T-cell expression was quantitatively assessed using immunohistochemical staining,with patients stratified into CD8-high and CD8-low expression groups based on overall survival.A total of 1 185 radiomic features were extracted from each patient's contrast-enhanced T1C and T2WI images,covering the original tumor region and sequentially expanded peritumoral regions(2.5 mm,5.0 mm,7.5 mm,10.0 mm,12.5 mm,15.0 mm morphological dilation of tumor core+peritumoral area).Feature selection was performed using variance threshold,minimum redundancy maximum relevance,and least absolute shrinkage and selection operator methods.XGBoost classifier was employed to construct clinical,radiomic,and clinical-radiomic multimodal combined prediction models.Diagnostic performance was evaluated using receiver operating characteristic curve analysis.Results The radiomic model based on tumor expansion of 7.5 mm(tumor+peritumoral region)demonstrated optimal predictive performance.The clinical-radiomic multimodal combined model showed superior predictive capability compared to clinical and radiomic models alone,achieving an area under the curve of 0.991 and accuracy of 99.0%in the training set,and area under the curve of 0.840 with accuracy of 80.0%in the validation set.Conclusion MRI radiomics provides a feasible approach for evaluating tumor-infiltrating CD8+T-cell expression in glioblastoma patients,offering potential for preoperative prognosis prediction.

To summarize the nursing experience of a patient with uremia on maintenance hemodialysis complicated by recurrent ventricular tachycardia and treated with transcatheter radiofrequency ablation.Key nursing interventions included:dynamically assessing the patient's coagulation and bleeding status,being vigilant against the occurrence of deep vein thrombosis,and preventing local and major organ bleeding;implementing goal-oriented volume management strategies to prevent electrolyte disorders;the strengthened management of vascular access to reduce risks of stenosis or occlusion in the arteriovenous fistula;conducting precise assessment and comprehensive intervention to reduce the patient's psychological and mental burden.After careful treatment and nursing care,the patient was stable and discharged on the 6th postoperative day.During the 2-month outpatient follow-up,cardiac function indicators were normal,and the fistula was unobstructed,and the patient recovered well.

Purpose To explore the value of three-dimensions densely connected convolutional networks(3D-DenseNet)in the differential diagnosis of high-grade gliomas(HGGs)and single brain metastases(BMs)via MRI,and to compare the diagnostic performance of models built with different sequences.Materials and Methods T2WI and T1WI contra-enhanced(T1C)imaging data of 230 cases of HGGs and 111 cases of BMs confirmed by surgical pathology in Lanzhou University Second Hospital from June 2016 to June 2021 were retrospectively collected,and the volume of interest under the 3D model was delineated in advance as the input data.All data were randomly divided into a training set(n=254)and a validation set(n=87)in a ratio of 7∶3.Based on the 3D-DenseNet,T2WI,T1C and two sequence fusion prediction models(T2-net,T1C-net and TS-net)were constructed respectively.The predictive efficiency of each model was evaluated and compared by the receiver operating characteristic curve,and the predictive performance of models built with different sequences were compared.Results The area under curve(AUC)of T1C-net,T2-net and TS-net in the training and validation sets were 0.852,0.853,0.802,0.721,0.856 and 0.745,respectively.The AUC and accuracy of the validation set of T1C-net were significantly higher than those of T2-net and TS-net,respectively,and the AUC and accuracy of the validation set of TS-net were significantly higher than those of T2-net.There was a significant difference between T1C-net and T2-net models(P<0.05),while there were no statistical differences between the models of TS-net and T2-net,T1C-net and TS-net(P>0.05).The T1C-net model based on 3D-DenseNet had the best performance,the accuracy of the validation set was 80.5%,the sensitivity was 90.9%,the specificity was 62.5%.Conclusion The 3D-DenseNet model based on MRI conventional sequence has better diagnostic performance,and the model built by T1C-net sequence has better performance in differentiating HGGs and BMs.Deep learning models can be a potential tool to identify HGGs and BMs and to guide the clinical formulation of precise treatment plans.

ObjectiveTo investigate the mediating role of loneliness and social anxiety in the relationship between basic psychological needs satisfaction and smartphone addiction among high school students， and to provide references for the intervention to smartphone addiction for high school students. MethodsIn April 2022， a total of 14 666 high school students from 5 middle schools in a county of Sichuan Province were included by random sampling method. Basic Psychological Needs Scales （BPNS）， the UCLA Loneliness Scale-3 edition （UCLA-3）， Interaction Anxiousness Scale （IAS） and the Mobile Phone Addiction Index （MPAI） were used for cross-sectional investigation. Bootstrap method was used to analyze the mediating role of loneliness and social anxiety in the relationship between the basic psychological needs satisfaction and smartphone addiction. Results① In this study， 14 036 valid questionnaires were returned， and 1 752 （12.48%， 95% CI： 0.114~0.136） high school students were found to be addicted to smartphone phone. The BPNS score was negatively correlated with UCLA-3， IAS and MPAI scores （r=-0.771， -0.486， -0.417， P<0.01）. And MPAI score was positively correlated with IAS and UCLA-3 scores （r=0.403， 0.424， P<0.01）. IAS score was positively correlated with UCLA-3 score （r=0.458， P<0.01）. ②The degree of basic psychological needs satisfaction in high school students can directly negatively predict smartphone addiction （β=-0.383， P<0.05）， and can also indirectly affect smartphone addiction through loneliness and social anxiety （β=-0.130， P<0.05）. ③Loneliness （indirect effect value was -0.145） and social anxiety （indirect effect value was -0.074） partially mediate between the basic psychological needs satisfaction and smartphone addiction. Loneliness-social anxiety also has significant chain mediating effect （indirect effect value was -0.034）， which accounted for 8.88%. ConclusionThe basic psychological needs satisfaction can not only directly affect the occurrence of smartphone addiction， but also indirectly affect the occurrence of smartphone addiction through the chain mediation of loneliness and social anxiety.

Objective:To explore the current status of the artificial intelligence (AI) developments in medical imaging in China, and to provide data for the development of AI.Methods:In May 2022, the Radiology Branch of the Chinese Medical Association and the China Medical Imaging AI Industry-University-Research Innovation Alliance jointly launched a nationwide survey on the application status and development needs of medical imaging AI in China in the form of a questionnaire. This survey was carried out for different groups of people, focusing on the clinical applications of medical imaging AI, enterprise development, and educational needs in colleges and universities, with the descriptive statistical analysis performed.Results:China′s medical imaging AI has made great progress in clinical applications, in enterprise developments, as well as in the education and teaching areas. In terms of clinical application, 90.8% (5 765/6 347) of the survey respondents had a preliminary understanding of AI. There were 62.1% (3 798/6 119) doctors confirmed the applications medical imaging AI products in their departments. AI products were applied in the whole process of medical imaging examination, especially in assistance of the diagnosis. The application of pulmonary nodules screening accounted for 89.5% (3 401/3 798) of all medical imaging AIs. The main factors restricting the rapid development of medical imaging AI included lack of experts [47.3% (3 002/6 347)], poor data quality [45.7% (2 898/6 347)] and imperfect function of the products [40.4% (2 566/6 347)]; in terms of enterprises, there were 65.4% enterprises with a scale of less than 100 employees (17/26), and 34.6% with a scale of more than 100 employees (9/26). The main group of the customers were the hospitals above the second level, accounting for about 92.3% (24/26); in terms of education, the number and quality of AI courses, practical operations and lectures currently carried out by schools vary between different levels. The AI courses for graduated students accounted for about 22.5% (86/381), which were the largest in number; while the proportion of AI courses for junior college students, undergraduates and regular trainees were less than 15%. More than 60% of the students thought it necessary for schools to establish AI courses. Among all the students, the master′s and doctoral candidates had the greatest demand for additional AI courses [84.8% (323/381)].Conclusions:The development and popularization of medical imaging AI in China continues to prosper, with opportunities and challenges coexisting. It is necessary to adhere to the orientation of clinical needs, and to realize the coordinated development of clinical application, enterprise development, as well as education and teaching.

Objective:To study the antioxidant protective effects of different low-dose of insulin glargine on organs of burned rats with delayed resuscitation.Methods:Forty male Sprague-Dawley (SD) rats were randomly divided into sham group, delayed resuscitation control group, and insulin glargine 0.5, 1.0, and 2.0 U groups, with 8 rats in each group. The rats were immersed in hot water (95.0±0.5) ℃ for 15 s to establish the third-degree scald model with 30% total body surface area. The rats in the sham group were immersed in a 37 ℃ water bath for 15 s. Insulin glargine (0.5, 1.0, 2.0 U·kg -1·d -1) was injected subcutaneously in corresponding insulin glargine group 2 hours after injury, and the same amount of normal saline was injected intraperitoneally in the delayed resuscitation control group. Intraperitoneal injection of normal saline 40 mL/kg simulated delayed resuscitation 6 hours after injury in all groups. Abdominal aortic blood samples, heart and kidney tissue were collected immediately after simulating burn in the sham group, and 24 hours after burn in other four groups. The blood glucose, myocardial enzymes [lactate dehydrogenase (LDH), creatine kinase (CK), α-hydroxybutyrate dehydrogenase (α-HBDH), and aspartate aminotransferase (AST)] and renal function indexes [blood urea nitrogen (BUN) and serum creatinine (SCr)] were measured by spectrophotometry, and the isoenzyme MB of creatine kinase (CK-MB) level was determined by immunosuppression method to evaluate the effects of different low-dose insulin glargine intervention on blood glucose, cardiac and renal functions in scalded rats with delayed resuscitation. The oxidative and antioxidant indices [xanthine oxidase (XOD), myeloperoxidase (MPO), copper-zinc superoxide dismutase (CuZn-SOD), catalase (CAT), glutathione peroxidase (GSH-Px), and total antioxidant capacity (T-AOC)] from the heart and kidney tissues of rats were detected by spectrophotometry to analyze the antioxidant effects of different low-dose insulin glargine interventions. Results:Compared with the sham group, the blood glucose of the rats in the delayed resuscitation control group was significantly increased, the heart and kidney functions were significantly reduced, the oxidation capacity was enhanced, and the antioxidant indicators were significantly reduced. After the intervention of insulin glargine, with the increase of insulin glargine dose, the blood glucose, myocardial enzyme and renal function indicators of rats showed a gradual downward trend, the oxidation indicators continued to decrease, and the antioxidant indicators showed a gradual upward trend. When the dose was 2.0 U·kg -1·d -1, the blood glucose, LDH, CK, CK-MB, α-HBDH, AST, BUN, SCr, XOD and MPO were significantly lower than those in the delayed resuscitation control group [blood glucose (mmol/L): 5.91±0.25 vs. 11.76±0.36, LDH (U/L): 3 332.12±51.61 vs. 5 008.94±490.12, CK (kU/L): 0.49±0.03 vs. 0.85±0.04, CK-MB (U/L): 125.40±12.19 vs. 267.52±11.63, α-HBDH (U/L): 122.99±5.37 vs. 240.85±13.99, AST (U/L): 11.95±1.81 vs. 17.87±1.57, BUN (mmol/L): 4.72±0.15 vs. 7.16±0.34, SCr (μmol/L): 87.11±6.51 vs. 137.50±11.36, XOD (U/g): 166.29±3.27 vs. 204.90±4.82 in heart tissue, 63.51±1.46 vs. 79.69±1.75 in kidney tissue, MPO (U/g): 1.05±0.02 vs. 1.55±0.06 in heart tissue, 1.04±0.04 vs. 1.87±0.01 in kidney tissue, all P < 0.05], and CuZn-SOD, CAT, GSH-Px and T-AOC were significantly higher than those in the delayed resuscitation control group [CuZn-SOD (kU/g): 82.95±2.69 vs. 56.52±2.26 in heart tissue, 94.50±2.73 vs. 62.02±1.66 in kidney tissue, CAT (U/g): 36.07±2.01 vs. 15.15±2.22 in heart tissue, 184.49±4.53 vs. 156.02±3.96 in kidney tissue, GSH-Px (kU/g): 231.93±8.03 vs. 179.48±3.15 in heart tissue, 239.63±7.30 vs. 172.20±2.09 in kidney tissue, T-AOC (kU/g): 4.85±0.23 vs. 2.71±0.11 in heart tissue, 5.51±0.08 vs. 3.50±0.07 in kidney tissue, all P < 0.05]. Conclusion:Different low-dose of insulin glargine (≤2.0 U·kg -1·d -1) could exert antioxidant protection on the heart and kidney of rats with delayed resuscitation after burns, with a dose-dependent manner.