Objective To identify factors affecting and key environmental factors of the Oncomelania hupensis snail density in the Yangtze River Delta region using machine learning methods. Methods Administrative village-level O. hupensis snail survey data in the Yangtze River Delta (including Shanghai Municipality, Jiangsu Province, Zhejiang Province and Anhui Province) from 2011 to 2021 were retrieved from the Information Management System for Parasitic Disease Control of Chinese Center for Disease Control and Prevention. Environmental factor data were captured from the Google Earth Engine platform, including elevation, slope, terrain, normalized difference vegetation index (NDVI), vegetation type, soil type, total petroleum hydrocarbon (TPH), ammonium nitrogen, inorganic nitrogen, dissolved oxygen, pH of water, chemical oxygen demand (COD) and inorganic phosphorus, and climatic factor data in the study region were retrieved from the Copernicus Climate Data Store, including annual precipitation, aridity index and annual mean temperature (AMT). O. hupensis snail survey data in the Yangtze River Delta region from 2011 to 2021 were randomly divided into a training set (70%) and a test set (30%), and five machine learning models were selected for machine learning model construction and comparative analysis of the O. hupensis snail density using the software R 4.3.0, including random forest (RF), eXtreme gradient boosting (XGBoost), support vector machine (SVM), gradient boosting machine (GBM) and neural network (NN). The XGBoost model was employed to construct a predictive model for the O. hupensis snail density, and the impact of each environmental factor on O. hupensis snail distribution was quantified. The SHapley Additive exPlanations (SHAPs) values were calculated to estimate the average contribution of each variable to the model prediction, and the core environmental factors affecting the O. hupensis snail population density were screened. Results Among the five machine learning models, the XGBoost model exhibited the optimal comprehensive performance, with the coefficient of determination (R²) of 0.855, mean squared error (MSE) of 0.188, root mean squared error (RMSE) of 0.434 and mean absolute error (MAE) of 0.155, respectively. Analysis of factors affecting the O. hupensis snail density with the XGBoost model showed that among the 16 environmental factors, the top four high-impact factors ranked by SHAPs values included annual precipitation, elevation, aridity index and NDVI, with cumulative SHAPs contributions of 75%, which was higher than that of other environmental factors. If NDVI was higher than 0.6, the O. hupensis snail density increased with NDVI and peaked if NDVI was 0.8 (1.60 snails/0.1 m²). The O. hupensis snail density increased with elevation if the elevation ranged from 14 to 40 m, and slowly rose if the annual precipitation ranged from 900 to 1 300 mm, and then increased rapidly to the peak (1.52 snails/0.1 m²) if the annual precipitation ranged from 1 300 to 1 500 mm. In addition, the O. hupensis snail density increased rapidly to the maximum (1.60 snails/0.1 m²) if the aridity index ranged from 0.8 to 1.1, and decreased gradually if the aridity index exceeded 1.1. Conclusions The XGBoost model shows excellent performance in prediction of the O. hupensis snail density and identification of key environmental factors in the Yangtze River Delta region. Annual precipitation, elevation, aridity index and NDVI are key environmental factors affecting the distribution and density of O. hupensis snails in the Yangtze River Delta region.

ObjectiveTo explore the efficacy and mechanism of Euphorbia humifusa on acute kidney injury （AKI） based on network pharmacology， molecular docking and experimental verification. MethodsThe active components and targets of E. humifusa were retrieved from TCMSP and SwissTargetPrediction database， and the AKI targets were screened by GeneCards and Online Mendelian Inheritance in Man（OMIM） databases. The drug targets and disease targets were intersected to construct a protein-protein interaction network， and the intersection targets were subjected to gene ontology （GO） and Kyoto encyclopedia of genes and genomes （KEGG） enrichment analysis. Discover Studio software was used to verify the molecular docking of key components and core targets. Gentamicin （GM） was used to induce AKI rat model. Control group， model group， verapamil （16 mg·kg^-1） group， E. humifusa extract （18， 54， 162 mg·kg^-1·d^-1） group and E. humifusa 70% ethanol extract （423 mg·kg^-1） group were continuously administered for 14 days. Urine volume was detected 24 h after modeling and administration. Serum creatinine （SCr）， Blood urea nitrogen （BUN）， 24-hour urine protein （24 hUTP） and uric acid （UA） content； the contents of malondialdehyde （MDA）， glutathione （GSH）， superoxide dismutase （SOD）， carbon monoxide synthase （NOS） and lactate dehydrogenase （LDH） in kidney were measured. The levels of interleukin （IL）-6 and tumor necrosis factor （TNF）-α in serum were detected by enzyme linked immunosorbent assay（ELISA） kit. The pathological changes of renal tissue were detected by hematoxylin-eosin （HE） and Masson staining. Western blot was used to detect the expression of PI3K/protein kinase B（Akt）/NF-κB signaling pathway-related proteins. ResultsIn this study， 13 active components such as kaempferol， luteolin， apigenin， gallic acid and quercetin were screened and identified from E. humifusa. Through bioinformatics analysis， these components and AKI have a total of 289 targets， of which 62 are core targets， including Akt1， TNF， tumor protein p53（TP53） and IL-1β. These targets are mainly involved in the regulation of biological processes such as NF-κB signaling pathway， HIF-1 signaling pathway， TNF signaling pathway， PI3K/Akt signaling pathway and mitogen-activated protein kinase（MAPK） signaling pathway. In animal experiments， we successfully constructed a GM-induced AKI model in rats. Compared with the model group， E. humifusa extract could significantly reduce the levels of 24 hUTP， BUN and SCr in rats （P<0.01）， indicating its improvement effect on renal function. In addition， the extract of E. humifusa also significantly reduced LDH activity and MDA content in rat kidney tissue （P<0.05， P<0.01）， and significantly increased SOD， NOS activity and GSH content （P<0.05）， indicating that the extract of E. humifusa has the potential of anti-oxidation and protection of renal function. Further analysis of inflammatory factors showed that the levels of IL-6 and TNF-α in serum of rats treated with E. humifusa extract were significantly decreased （P<0.01）， indicating that E. humifusa extract had anti-inflammatory effects. In addition， the extract of E. humifusa can also regulate the protein expression of PI3K/Akt/NF-κB signaling pathway， which further confirmed its mechanism of reducing GM-induced AKI. ConclusionThe extract of E. humifusa has a significant therapeutic effect on acute kidney injury through its multi-component and multi-target mechanism. Its effect is reflected in improving renal function， anti-oxidation， anti-inflammation and regulating immune response. These findings provide a scientific basis for the application of E. humifusa in the treatment of acute kidney injury， and point out the direction for future drug development and clinical research.

To understand the progress of, summarize experiences from, and analyze problems in the national schistosomiasis elimination programme, this article presented the national schistosomiasis epidemiology and surveillance in the People’s Republic of China in 2025. By the end of 2025, Shanghai Municipality, Zhejiang Province, Fujian Province, Guangdong Province and Guangxi Zhuang Autonomous Region maintained the achievement of schistosomiasis elimination, and 7 provinces of Jiangsu, Sichuan, Yunnan, Hubei, Hunan, Anhui and Jiangxi remained at the criteria of schistosomiasis transmission interruption. In 2025, there were 450 counties (cities, districts), 3 203 townships and 26 029 villages endemic for schistosomiasis in China, with a total population of 73.598 million in endemic villages. Among the 450 endemic counties (cities, districts), 421 (93.56%) achieved the criteria of schistosomiasis elimination and 29 (6.44%) reached the criteria of transmission interruption. In 2025, a total of 3 630 874 residents received immunological tests for schistosomiasis across endemic areas in China, with 31 588 seropositives identified (seroprevalence, 0.87%), and a total of 154 293 individuals received parasitological examinations, with 5 egg-positives detected. A total of 26 688 advanced schistosomiasis cases were recorded in China by the end of 2025. Of 529 683 bovines raised in schistosomiasis-endemic villages in China in 2025, 101 637 bovines received immunological tests for schistosomiasis, with 183 seropositives detected (seroprevalence, 0.18%), and 165 654 bovines received parasitological examinations, with no egg-positives identified. In 2025, Oncomelania hupensis snail survey was performed covering an area of 667 524.82 hm² in China, and 176 378.64 hm² O. hupensis snail habitats were identified, including 123.77 hm² emerging O. hupensis snail habitats and 953.71 hm² re-emerging O. hupensis snail habitats. A total of 19 283 schistosomiasis cases received chemotherapy with praziquantel in China in 2025, and 477 450 person-times and 304 279 herd-times received expanded chemotherapy, respectively. In addition, O. hupensis snail control with chemical treatment covered 116 475.10 hm² snail habitats across China in 2025, with an actual area with chemical control covering 68 510.93 hm² and an area with environmental improvements covering 1 101.84 hm². The national schistosomiasis surveillance results indicated that the mean prevalence of Schistosoma japonicum infections was both 0 among humans and bovines in 2025, and no S. japonicum infection was detected in O. hupensis snails. These data showed that the prevalence of schistosomiasis remained low in China in 2025; however, the area of O. hupensis snail habitats stayed high, with an increase in emerging and reemerging O. hupensis snail habitats. It is recommended to improve the surveillance and forecast mechanism for schistosomiasis and precisely implement the O. hupensis snail control programme in high-risk areas.

Objective To examine the impact of climate, land use and their interaction effect on the population density of Oncomelania hupensis. Methods O. hupensis snail surveillance data in Yunnan Province from 2013 to 2022 were obtained from the National Information System for Parasitic Diseases Prevention and Control of Chinese Information System for Disease Control and Prevention, and the density of living snails was calculated in each county-level administrative district. Climate data were obtained from the China Meteorological Forcing Dataset version 2.0, and land use data were captured from the China Land Cover Dataset. The raster climate data and land use data were clipped to the administrative border of Yunnan Province in the R package version 4.5, and the climate data were resampled to a spatial resolution of 30 m × 30 m consistent with the land use data using bilinear interpolation. Annual meteorological indicators were extracted from each county-level schistosomiasis surveillance administrative area in Yunnan Province from 2013 to 2022, including average temperature, maximum temperature, minimum temperature, temperature difference, average precipitation rate, maximum precipitation rate, minimum precipitation rate, downward shortwave radiation flux, downward longwave radiation flux, air pressure, wind speed, specific humidity and relative humidity. Annual land use structure and landscape pattern index in each county-level schistosomiasis surveillance administrative area in Yunnan Province from 2013 to 2022 were extracted and calculated, including the proportion of areas occupied by each type of land use, patch density, largest patch index, landscape separation index, landscape fragmentation index, landscape segmentation index, contagion index, patch cohesion index, edge density, and shape index. Land use entropy index was introduced to represent the degree of habitat fragmentation and ecological niche breadth. The density of living snails and environmental factors were subjected to rank correlation analysis, and variables with no statistically significant correlation (P>0.1) were excluded. Then, a correlation coefficient matrix was constructed, and |r_s| of 0.85 and greater was defined as the threshold of high collinearity. For highly correlated variables in each group, indicators with a more biological explanatory power or a better statistical efficiency were retained. A generalized additive model (GAM) was constructed with O. hupensis snail density as a response variable and screened environmental variables as independent variables, and the model performance was evaluated using the variance explained. Results The area occupied by O. hupensis snail habitats was 1 056 to 1 680 hm² in Yunnan Province from 2013 to 2022, appearing an overall tendency towards a decline; however, the density of living snails appeared a tendency towards a slight rise. Based on the correlation coefficient matrix, 14 core explanatory variables were retained, including farmland, water bodies, bare land, impervious surface, landscape separation index, landscape fragmentation index, edge density, shape index, land use entropy index, downward longwave radiation flux, downward shortwave radiation flux, maximum temperature, minimum precipitation rate and specific humidity. Two types of GAM were constructed, including the main-effects model without interaction terms and the interaction model with interaction terms. The corrected Akaike information criterion (AICc) of the optimal main-effects model was −285.223, and the core variables included bare land, impervious surface, landscape separation index, edge density, shape index, land use entropy index and downward shortwave radiation flux. Following introduction of second-order interaction terms, the AICc value of the optimal interaction model was −345.526, and the significant interaction combinations included: farmland × impervious surface, farmland × landscape separation index, farmland × shape index, farmland × land use entropy index, impervious surface × landscape separation index, impervious surface × edge density, and shape index × downward shortwave radiation flux. The proportion of the main-effects model explaining the variation of O. hupensis snail density was 39.8%, and the explanatory power of GAM increased to 79.0% following introduction of interaction terms. Conclusion Landscape separation index, edge density, shape index and other landscape pattern indicators pose significant impacts on the intensity and direction of changes in O. hupensis snail density in Yunnan Province.

Creutzfeldt-Jakob disease(CJD)is a rapidly progressive and fatal neurodegenerative disorder caused by prions,with certain infectivity and iatrogenic transmission risks.With the rapid progress and application of new dia-gnostic biomarkers and detection methods,as well as the construction and improvement of surveillance and reporting systems,the detection of CJD in patients domestically and internationally has shown an increasing trend year by year.Due to its long incubation period and heterogeneity of early symptoms,early identification and diagnosis of the disease is difficult,increasing the risk of transmission within medical institutions.Currently,there is a lack of con-sensus on the infection prevention and control of CJD.In order to timely identify and diagnose CJD as well as effec-tively block its transmission in medical institutions,this consensus summarizes 15 clinical concerns and formulates 24 specific recommendations based on the latest domestic and international research findings and clinical evidence,as well as combines with clinical practice,aiming to standardize healthcare-associated infection prevention and control measures for CJD and reduce its transmission risk in medical institutions.

Objective:To analyze the correlation between sex hormone levels and micropenis after mild hypospadias surgery in children.Methods:A case control study was carried out.The clinical data of 71 children aged 1 to 13 years who underwent mild hypospadias surgery at the First Affiliated Hospital of Xinxiang Medical University from April 2022 to April 2024 were analyzed.Preoperatively, the children were divided into a mild hypospadias group (Group A) and a mild hypospadias with micropenis group (Group B) based on the stretched penile length (SPL).Prolactin, follicle-stimulating hormone (FSH), luteinizing hormone (LH), progesterone, and testosterone (TES) levels of the 2 groups were measured.Multivariate Logistic regression analysis was used to construct a risk prediction model.The discrimination capability of the model was evaluated using the receiver operating characteristic (ROC) curve.SPL and sex hormone levels were measured again 6 months after surgery.The children were divided into a normal penile group (Group AA) and a micropenis group (Group BB) after mild hypospadias according to SPL.Multivariate Logistic regression analysis was used to construct a risk prediction model, which was evaluated using the ROC curve.Results:The levels of FSH, LH and TES in group A before the operation were 3.28(2.02, 4.46) IU/L, 0.53(0.25, 0.79) IU/L and 25.24(17.94, 36.67) ng/dL, respectively, and those in group B were 1.42(1.10, 1.84) IU/L, 0.14(0.09, 0.23) IU/L and 15.73 (12.92, 17.00) ng/dL, respectively.The difference was all statistically significant (all P<0.05).Multivariate Logistic regression analysis showed statistical significance ( OR=0.515, 95% CI: 0.271-0.977; OR=0.035, 95% CI: 0.002-0.542; OR=0.883, 95% CI: 0.796-0.980).The area under the ROC curve (AUC) of the prediction model was 0.906, with a sensitivity of 75.00% and a specificity of 95.74%.The levels of FSH, LH and TES in the postoperative AA group were 2.97 (1.88, 4.28) IU/L, 0.46 (0.23, 0.78) IU/L and 20.92 (17.34, 33.27) ng/dL, respectively.The median levels of FSH, LH and TES in the BB group were 1.52 (1.27, 1.82) IU/L, 0.17 (0.12, 0.26) IU/L and 15.08(11.68, 16.68) ng/dL, respectively.The difference was all statistically significant (all P<0.05).Multivariate Logistic regression analysis showed statistical significance ( OR=0.484, 95% CI: 0.236-0.992; OR=0.061, 95% CI: 0.004-0.939; OR=0.891, 95% CI: 0.795-0.999).The AUC of the prediction model constructed was 0.877, with a sensitivity of 94.12% and a specificity of 68.52%. Conclusions:Lower FSH, LH and TES levels are risk factors for the micropenis after mild hypospadias surgery, and preoperative hormone levels have higher predictive value.

Objective:To analyze the prevalence of chronic kidney disease (CKD) and influencing factors of adults in Hebei Province, and provide scientific evidence for the development of comprehensive CKD prevention and control strategies.Methods:In China Adult Chronic Disease and Nutrition Surveillance in Hebei in 2018, a total of 7 562 permanent residents aged ≥18 years were selected by multi-stage stratified cluster random sampling from 13 surveillance points in Hebei for questionnaire survey, medical examination and laboratory test.Results:A total of 1 067 CKD patients were detected in the adults aged ≥18 years in this survey, with a weighted prevalence rate of 12.10%. The results of multivariate analysis showed that the daily total static behavior time ( OR=1.07, 95% CI: 1.04-1.09), living in rural area ( OR=1.50, 95% CI: 1.14-1.97), coal use ( OR=1.37, 95% CI: 1.16-1.61), coal gas/liquefied gas/natural gas/biogas use ( OR=2.92, 95% CI: 2.40-3.54) and solar energy/electricity use ( OR=1.75, 95% CI: 1.36-2.25), insufficient fruit intake ( OR=1.39, 95% CI: 1.06-1.83), insufficient physical activity ( OR=1.35, 95% CI: 1.11-1.64), suffering from hypertension ( OR=1.80, 95% CI: 1.44-2.24) and suffering from diabetes ( OR=1.77, 95% CI: 1.27-2.45) were risk factors for CKD in adults in Hebei. High education level ( OR=0.41, 95% CI: 0.19-0.91), excessive drinking ( OR=0.53, 95% CI: 0.28-0.99), central obesity ( OR=0.75, 95% CI: 0.58-0.97), history of allergic diseases ( OR=0.44, 95% CI: 0.27-0.72) were protective factors for CKD. Conclusions:The prevalence of CKD in adults in Hebei was relatively high, especially in those who had too long average daily static behavior, lived in rural area, used coal, gas/liquefied gas/natural gas/biogas, solar energy/electricity, had inadequate intake of fruits, lacked physical activity and suffered from hypertension and diabetes. It is necessary to pay attention to the early prevention and treatment of CKD, strengthen the health education about healthy lifestyle and improve the management of patients with chronic disease, such as hypertension and diabetes, to further reduce the risk for CKD.

Objective:To retrieve, evaluate and summarize the best evidence for the management of oral intake in stroke patients with dysphagia.Methods:A systematic search was conducted in Chinese and English databases and subject-specific professional websites for clinical decisions, best practices, guidelines, systematic reviews, expert consensuses and evidence summaries on the management of oral intake in stroke patients with dysphagia. The retrieval time limit was from the establishment of the database to March 31, 2024. The included literatures were screened, quality-evaluated, and evidence was extracted and summarized.Results:A total of 16 articles were included, including three clinical decisions, four guidelines, four expert consensuses, four evidence summaries and one systematic review. A total of 28 pieces of evidence were summarized from eight aspects, namely, swallowing function screening, nutritional risk screening, feeding management, oral medication management, water drinking management, oral care, aspiration management, and training and education.Conclusions:This study systematically summarizes the best evidence for the management of oral intake in stroke patients with dysphagia, providing scientific guidance and strategic support for the improvement of patients' long-term quality of life.

Objective To investigate the predictive value of bone metabolism parameters on cardiac autonomic nervous system function in patients with type 2 diabetes mellitus(T2DM).Methods A total of 328 patients with T2DM hospitalized in the Department of Endocrinology of Gansu Provincial People's Hospital were enrolled in this study from October 2022 to October 2023.According to the serum 25(OH)D level,all the participants were divided into<10 ng/ml group(n=80),10～20 ng/ml group(n=173),and 20～30 ng/ml group(n=75).Biochemical indicators,bone metabolic parameters,left ventricular mass(LVM)and left ventricular mass index(LVMI)were compared.Time domain indicators ofheart rate variability(HRV)in 24 h holter electrocardiogram,including the global standard deviation of normal sinus RR interval(SDNN),sinus RR interval mean standard deviation(SDANN),and normal continuous sinus RR interval difference root mean square(RMSSD).Meanwhile,adjacent RR interval difference>50 ms as a percentage of the total inter-period(PNN50),HRV triangle index,standard deviation of the difference between the length of the entire adjacent NN interperiod(SDSD),and 24 h holter electrocardiogram HRV time-domain relevant indicators were compared among the three groups.The influence of bone metabolism parameters on cardiac autonomic nervous function and their correlation were analyzed,and the optimal cutting point of cardiac autonomic nervous function was predicted by receiver operating characteristic(ROC)curve.Results SBP,heart rate(HR),FPG,PWV,PTH and β-CTX in groups of 10 ng/ml,10～20 ng/ml and 20～30 ng/ml decreased in turn(P<0.05),while HDL-C,ABI,25(OH)D,Ca2+and PNN50 decreased.Correlation analysis between Spearman and Pearson showed that 25(OH)D was positively correlated with SDNN,HRV triangle index,PNN50 and rMSSD(P<0.01).Logistic regression analysis showed that 25(OH)D,Ca2+and HR were the influencing factors of cardiac autonomic nervous dysfunction in patients with T2DM.The ROC curve analysis showed that the areas under the ROC curve of 25(OH)D,Ca2+and HR were 0.791,0.607 and 0.629,respectively,with sensitivity of 73.4%,53.2%and 38.7%,and specificity of 74.0%,93.6%and 81.4%,respectively.Conclusions 25(OH)D is the influencing factor of cardiac autonomic nervous dysfunction in patients with T2DM,and patients with high degree of deficiency are more prone to cardiac autonomic nervous dysfunction.

Objective To investigate whether the application of automated software for computed tomography angiography(CTA)and computed tomography perfusion imaging(CTP)can improve in-hospital workflow for endovascular treatment(EVT)in acute ischemic stroke patients.Methods We included patients with acute ischemic stroke who received CTA and CTP evaluation followed by EVT through the stroke emergency pathway at the Affiliated Hospital of Southwest Medical University between January 1,2020 and December 30,2022.The patients were divided into two groups:control group and artificial intelligence(Al)group based on whether automated software was used for assessment.The control group consisted of patients who underwent manual post-processing of multimodal imaging before June 2021,while the AI group was composed of patients whose imaging was processed with automated software from July 2021 onwards.The primary outcome was door-to-puncture time(DPT),and the secondary outcome was the 90-day modified Rankin Scale(mRS)score.Results A total of 312 patients were included,with 145 in the control group and 167 in the AI group.The median age of all the patients was 68 years(range:58-74 years),and 55.4％(173 patients)were male.The median National Institutes of Health Stroke Scale(NIHSS)score at presentation was 16 scores(range:12-19 scores).The median DPT was reduced from 110 min(range:80-150 min)before the use of automated software to 95 min(range:65-125 min)after its implementation(P＜0.001).However,there was no significant difference in the proportion of patients achieving functional independence(mRS score of 0-2)between the two groups(39.3％vs.41.3％,P=0.719).Conclusion The application of multimodal CT automated software improves the in-hospital workflow for acute ischemic stroke patients by reducing the time to EVT.However,the software did not significantly impact neurological functional outcomes as measured by the mRS.