AIM: To explore the clinical therapeutic effect of teprotumumab combined with glucocorticoid pulse therapy for thyroid-associated ophthalmopathy(TAO), and its impacts on thyroid function, levels of inflammatory factors, and adverse reactions in patients. METHODS: Active TAO patients admitted to the Ophthalmology Department were enrolled and randomly divide into the steroid group and the combined group. Then the steroid group was treated with glucocorticoid pulse therapy, while the combined group was combined with intravenous infusion of teprotumumab on the basis of the steroid group. The clinical therapeutic effect, the CAS, OSDI, M-C-TAO-QOL scores, ocular sign indicators(fissure width, proptosis), levels of inflammatory factors(TNF-α, CRP, IL-17), thyroid function(TSH, FT3, FT4)before and after treatment, and occurrence of adverse reactions were compared between two groups.RESULTS:Totally 96 TAO patients(192 eyes)were included, with 48 cases(96 eyes)in each group. In the combined group, there were 17 males and 31 females, with an average age of 51.85±3.53 y; in the steroid group, there were 14 males and 34 females, with an average age of 51.26±3.84 y. The total effective rate of the combined group(94%)was higher than that of the steroid group(79%)(P<0.05). After treatment, the CAS score, OSDI score, fissure width, proptosis, levels of TNF-α, CRP, and IL-17 in the combined group were all lower than those in the steroid group, and the M-C-TAO-QOL score was higher than that in the steroid group(P<0.05). However, there was no difference in thyroid function indicators and adverse reactions between two groups after treatment(P>0.05). CONCLUSION: The combination of teprotumumab and glucocorticoid pulse therapy for TAO has a prominent therapeutic effect. Meantime, it can more effectively control ocular inflammation, improve ocular signs and quality of life of patients, and has no obvious adverse effect on thyroid function, with controllable safety.

ObjectiveTo observe the effect of functional pelvic floor muscle training on pelvic floor muscle function, incontinence symptoms and quality of life in female patients with stress urinary incontinence (SUI). MethodsFrom February, 2024 to July, 2025, 40 female patients with SUI were recruited from Beijing Bo'ai Hospital and advertisements. They were randomly divided into control group (n = 20) and experimental group (n = 20). The control group received conventional pelvic floor muscle contraction and relaxation training, and the experimental group received functional pelvic floor muscle contraction and relaxation training, for eight weeks. The data of pelvic floor muscle strength, pelvic floor muscle surface electromyography (sEMG), 1-hour urine pad test and Incontinence Quality of Life questionnaire (I-QOL) were collected before and after training. The compliance rate was counted after training. ResultsOne case dropped down in the control group and three cases dropped down in the experimental group. After treatment, the pelvic floor muscle strength increased in both groups (|Z| > 3.317, P < 0.01), the pre-resting average value, sustained contraction average value and durable contraction average value of sEMG improved in the control group (|t| > 2.731, P < 0.05), the mass of 1-hour urine pad significantly reduced (t > 9.215, P < 0.001) and the I-QOL score significantly increased (|t| > 13.229, P < 0.001) in both groups; compared with the control group, the pelvic floor muscle strength significantly increased (Z = -2.281, P = 0.023), the mass of 1-hour urine pad significantly reduced (t = 4.215, P < 0.001), the I-QOL score significantly increased (t = -4.501, P < 0.001), and the compliance rate significantly increased (Z = -2.798, P < 0.01) in the experimental group . ConclusionFunctional pelvic floor muscle training can significantly improve pelvic floor muscle strength, incontinence symptoms and quality of life in female patients with SUI.

Objective To gain insights into the biological characteristics of different populations of Culex tritaeniorhynchus within and around the Yellow Sea wetland from the perspective of the occurrence of resistance, we investigated the levels of resistance to deltamethrin and kdr gene mutation in the wetland and its peripheral areas. Methods Specimens were collected from Cx. tritaeniorhynchus populations at two monitoring sites in the Rare Bird National Nature Reserve and Tiaozi Ni Wetland Scenic Area, and also from two populations in Yancheng City and the Liuhe District of Nanjing, and the resistance of these mosquitoes to deltamethrin was determined using the CDC biotest bottle method. For each concentration of deltamethrin assessed, a random subset of exposed specimens was selected for amplification of the kdr gene fragment, followed by Sanger sequencing to identify and analyze resistance-associated mutations. Results The LC50 levels of deltamethrin among mosquitoes from the four populations in Luhe, Yancheng, the Rare Bird National Nature Reserve and the Tiaozi Ni Wetland Scenic Area were 2.048 5, 7.798 2, 3.473 3, and 17.695 5 mg/mL, respectively, with corresponding concentrations of deltamethrin ranging from 0.005 to 5.000,0.050 to 50.000,0.050 to 25.000 and 0.050 to 50.000 mg/mL, respectively. Furthermore, the ranges of the KT50 values were 11.76-107.43, 67.05-216.30,29.77-107.43 and 28.40-329.51 min; the 1-h knockdown rates were 34.58%-99.15%, 9.52%-43.80%, 55.09%-73.01%, and 10.09%-68.07%; and the 24-h mortality rates were 12.15%-67.52%,9.52%-79.56%,13.17%-82.21%, and 11.01%-78.99%, respectively. With respect to kdr gene mutation, we assayed a total of 63,70,59, and 57 mosquitoes for the four populations, for which we detected L1014F mutation frequencies of 14.29%, 35.00%, 20.34%, and 31.58%, respectively, with a majority of these mutations being heterozygous for resistance. In addition, five adult mosquitoes were identified has having synonymous mutations at site 1011[i. e. , AAT(asparagine)mutation to AAC(asparagine)]. Conclusions Our findings revealed the clear resistance of Cx. tritaeniorhynchus to deltamethrin in the Yancheng region of the Yellow Sea wetland, and the resistance phenotype and kdr frequency of Cx. tritaeniorhynchus in the wetland environment were comparable to those of Cx. tritaeniorhynchus in the wetland environment, thereby indicating that the resistance of different populations of Cx. tritaeniorhynchus was homogeneous under the pressure of different insecticide selection within and around the wetland. However, the underlying mechanisms need to be further studied.

Objective To establish an analytical strategy covering multi-dataset processing, recursive feature elimination (RFE) screening and multi-model evaluation based on multiple machine learning algorithms, so as to screen radiation-sensitive genes and verify the feasibility of the evaluation strategy. Methods Qualified radiation transcriptome datasets were retrieved from public gene expression databases. Following standardized data preprocessing and feature preselection, 13 machine learning algorithms were adopted to construct models. The performance of each model was compared and validated in independent datasets. Results A total of 38 eligible datasets were included. Sixteen differentially expressed genes unreported in existing literature were screened out, among which ugcrhl, pdcl3, mct4, h2-g2 and fam120aos were correlated with radiation phenotypes. Ensemble learning algorithms including random forest and gradient boosting exhibited the optimal comprehensive performance. Independent dataset verification confirmed that the screened genes overlapped with known radiation-sensitive genes, and the model performance was consistent with the findings. Conclusion The machine learning strategy constructed in this study can effectively explore potential radiation-sensitive genes, and provides methodological support for subsequent relevant studies.

Objective To establish an analytical strategy covering multi-dataset processing, recursive feature elimination (RFE) screening and multi-model evaluation based on multiple machine learning algorithms, so as to screen radiation-sensitive genes and verify the feasibility of the evaluation strategy. Methods Qualified radiation transcriptome datasets were retrieved from public gene expression databases. Following standardized data preprocessing and feature preselection, 13 machine learning algorithms were adopted to construct models. The performance of each model was compared and validated in independent datasets. Results A total of 38 eligible datasets were included. Sixteen differentially expressed genes unreported in existing literature were screened out, among which ugcrhl, pdcl3, mct4, h2-g2 and fam120aos were correlated with radiation phenotypes. Ensemble learning algorithms including random forest and gradient boosting exhibited the optimal comprehensive performance. Independent dataset verification confirmed that the screened genes overlapped with known radiation-sensitive genes, and the model performance was consistent with the findings. Conclusion The machine learning strategy constructed in this study can effectively explore potential radiation-sensitive genes, and provides methodological support for subsequent relevant studies.

ObjectiveTo conduct an epidemiological investigation and analysis of a clustered scabies outbreak in a middle school, so as to provide evidence for developing targeted prevention and control strategies. MethodsCase data on a clustered scabies outbreak occurring in a middle school of Shaanxi Province in 2025 were collected. Field epidemiological approaches were adopted to define cases, search for infected individuals, and describe the temporal, spatial, and population distribution. Specimens were collected from individuals and surrounding environments for laboratory testing. ResultsA total of 25 scabies cases were identified in 4 classes and 9 dormitories of the school. All cases were first-year high school students. The overall attack rate was 6.00% (25/414); the attack rate was 10.53% (22/209) among male students and 1.46% (3/205) among female students. The disease course ranged from 10 to 30 days, with a median duration of 14 days, and 3 students (12.00%) continued attending classes with ongoing infection. Skin scrapings collected from lesion sites of 3 patients were examined under microscopy, all of which were positive for Sarcoptes scabiei; no laboratory testing was performed for the remaining cases. This clustered scabies infection outbreak lasted for one month. All affected students recovered completely without severe complications or deaths, and the outbreak was effectively contained. ConclusionThis scabies infection is a clustered school-based scabies outbreak caused by Sarcoptes scabiei. Affected patients present relatively severe symptoms and a prolonged disease course. Scientific and standardized preventive systems should be established to enable timely early warning and emergency response.

Objective To establish an analytical strategy covering multi-dataset processing, recursive feature elimination (RFE) screening and multi-model evaluation based on multiple machine learning algorithms, so as to screen radiation-sensitive genes and verify the feasibility of the evaluation strategy. Methods Qualified radiation transcriptome datasets were retrieved from public gene expression databases. Following standardized data preprocessing and feature preselection, 13 machine learning algorithms were adopted to construct models. The performance of each model was compared and validated in independent datasets. Results A total of 38 eligible datasets were included. Sixteen differentially expressed genes unreported in existing literature were screened out, among which ugcrhl, pdcl3, mct4, h2-g2 and fam120aos were correlated with radiation phenotypes. Ensemble learning algorithms including random forest and gradient boosting exhibited the optimal comprehensive performance. Independent dataset verification confirmed that the screened genes overlapped with known radiation-sensitive genes, and the model performance was consistent with the findings. Conclusion The machine learning strategy constructed in this study can effectively explore potential radiation-sensitive genes, and provides methodological support for subsequent relevant studies.

Objective To investigate the influence and threshold effect of preoperative intraocular pressure(IOP)on secondary glaucoma(SG)after pars plana vitrectomy(PPV).Methods A retrospective analysis was conducted on 88 patients with retinal detachment who developed SG after PPV(SG group)treatment at Hebei Eye Hospital from January 2020 to January 2024.Meanwhile,88 patients with retinal detachment who underwent PPV at the same hospital during the same period but did not develop SG postoperatively were selected as non-SG group in a 1:1 ratio.Univariate analysis was used to compare the differences in clinical data between the two groups.A stratified regression model was applied to analyze the correlation between postoperative characteristics and preoperative IOP.Multivariate logistic regression analysis was used to identify the factors affecting the occurrence of SG after PPV,with multicollinearity diagnosis and sensitivity analysis performed for the parameters.Additionally,the threshold effect of preoperative IOP on the risk of postoperative SG was analyzed.A predictive model was constructed based on the results of multivariate logistic regression.The receiver operating characteristic(ROC)curve was employed to evaluate the efficacy and accuracy of the predictive model,while the calibration curve and clinical decision curve were utilized to assess the consistency between the predictive model and actual conditions as well as the clinical practicality of the model.Results Compared with non-SG group,SG group had a higher proportion of patients with a history of diabetes,family history of glaucoma,a higher preoperative IOP,higher proportion of postoperative closed anterior chamber angle status,longer silicone oil tamponade duration(≥6 months),higher incidence of silicone oil emulsification(P<0.05).Postoperative anterior chamber angle status(closed)was significantly positively correlated with preoperative IOP levels(P<0.05).Multivariate logistic regression analysis showed that history of diabetes,family history of glaucoma,silicone oil emulsification,postoperative anterior chamber angle closure,silicone oil tamponade duration≥6 months,and preoperative IOP≥21 mmHg were independent risk factors for SG after PPV(P<0.05).Multicollinearity diagnosis indicated no significant collinearity among the above variables.Sensitivity analysis showed that the association tended to be null when E=5.014.With the increase of preoperative IOP,the probability of SG after PPV in patients showed an upward trend.The threshold effect analysis revealed that when preoperative IOP≥19 mmHg,the probability of SG after PPV increased significantly with the elevation of preoperative IOP(OR=2.942,95%CI 1.794-4.826,P<0.001).After adjusting for covariates,preoperative IOP remained an independent influencing factor for different degrees of SG after PPV(OR=7.392,95%CI 1.379-12.510,P=0.001).Before and after validation,the area under the ROC curves(AUCs)of the model for predicting SG after PPV were 0.987(95%CI 0.974-1.000,P<0.001)and 0.989(95%CI 0.969-1.000,P<0.001),with sensitivities of 0.9332 and 0.9545,and specificities of 0.9981 and 0.9773,respectively.Both the calibration curve and decision curve analysis demonstrated that the predictive model had good discrimination and accuracy.Conclusion Preoperative IOP is an influencing factor and a sensitive indicator for the development of SG after PPV in patients with retinal detachment.

Objective To discuss the effect of different particle activities and tumor shrinkage speed on the dosimetric parameters of the target area at the same prescription dose after 125I particle implantation.Methods A 6cm-sized cube tumor model was outlined by using a computerized three-dimensional treatment planning system(3D-TPS)with a prescription dose(PD)of 100 Gy,and 125I particle activities of 0.4 mCi and 0.8 mCi were selected.Assuming that the tumor shrinks centripetally after seed implantation and that the 125I particles were uniformly and centripetally concentrated without shedding or wandering,the tumor volume shrank at different rates every month after implantation(0,5％,10％,15％,20％,25％,30％,35％,40％,45％and 50％),according to the different activities of 125I particles,the experiments were divided into A1-K1 group(0.4 mCi)and A2-K2 group(0.8 mCi).Based on the 125I particle decay law,the validation program(using TPS simulation of the A1-K1 group and A2-K2 group at postoperative 1,2,3,4,5 and 6 months)obtained the dose received by 90％of the target volume(D90)in the two groups with different 125I particle activities at different postoperative time points,the percentages of the target volume covered by the 100％,150％and 90％prescription dose(V100,V150,V90),and the mean dose(Dmean).By comparing the differences in D90,V100,V150,V90 and Dmean after tumor implantation of 125I particles with different activities,the dosimetric impact of the tumor target area shrinking at a rate of 0～50％after implantation of 125I particles with different activities into tumor tissues was analyzed.Results When the monthly shrinkage rate of the tumor target area was≤30％,there was no obvious difference in D90 between the 0.4 mCi group and 0.8 mCi group in 1～6 months after surgery.When the monthly shrinkage rate of the tumor target area was＞30％,the D90 of 0.8 mCi group was higher than that of 0.4 mCi group;when the monthly shrinkage rate of the tumor target area was＜25％,the V90 of 0.4 mCi group was higher than that of 0.8 mCi group,and the changes of V90 of the two groups tended to be the same in the 5th～6th month after surgery.When the monthly shrinkage rate of the tumor target area was ≥30％,the V90 of 0.8 mCi group was higher than that of 0.4 mCi group,and with the increasing of shrinkage rate,the difference between the two groups become more and more significant,the results of V100 were consistent with those of V90.When the monthly shrinkage rate of tumor target area＜35％,V150 of 0.4 mCi group was higher than that of 0.8 mCi group,when the monthly shrinkage rate of tumor target area ≥35％,V150 of 0.8 mCi group was higher than that of 0.4 mCi group,and with the increasing of shrinkage rate,the difference between the two groups become more and more prominent.When the monthly shrinkage rate of tumor target area＜25％,Dmean of 0.4 mCi group was higher than that of 0.8 mCi group,when the monthly shrinkage rate of tumor target area ≥25％,Dmean of 0.8 mCi group was higher than that of 0.4 mCi group,and with the increasing of shrinkage rate,the difference between the two groups become more and more obvious.Conclusion With the same prescription dose,when the tumor target area shrinks at a rate of＜30％per month,the activity of 125I particles has little effect on D90,and all V90,V100,V150 and Dmean in the low activity group are higher than those in the high activity group,meanwhile the homogeneity of the target area is relatively good;when the monthly shrinkage rate of tumor target area ≥35％,all D90,V90,V100,V150 and Dmean in the high activity group are higher than those in the low activity group,and the duration of the presence of high-dose area is long.This difference becomes more obvious with the increasing of the monthly shrinkage rate of the target area.

Objective To construct and validate a predictive model for gastric precancerous le-sions based on urea breath test,serum pepsinogen(PG)and gastrin-17(G-17).Methods Partici-pants who underwent endoscopic screening for upper gastrointestinal tumors were retrospectively en-rolled as study subjects.Using random function,all participants were divided into training cohort of 2,788 cases(comprising 1,290 cases in precancerous lesion group and 1,498 cases in control group)and validation cohort of 1,194 cases(comprising 581 cases in precancerous lesion group and 613 cases in control group)at a ratio of 7 to 3.A simple model was established based on urea breath test,PG and G-17.Clinical data between the precancerous lesion group and the control group in the training cohort were compared.A predictive model for gastric precancerous lesions was constructed u-sing multifactorial Logistic regression analysis,and a scoring model for gastric precancerous lesions(the complete model)was developed based on this predictive model.The complete model,the simple model,the new ABC method,and the Li's score were all included in the validation cohort to compare the predictive performance of the four models.Results Multifactorial Logistic regression analysis indicated that male,smoking,positive Helicobacter pylori(Hp)infection,PG Ⅱ ≥10.19 μg/L,the ratio of PG Ⅰ to PG Ⅱ(PGR)≤11.87,and G-17 ≥3.82 pmol/L were independent risk factors for gastric precancerous lesions(P＜0.05).A predictive model for gastric precancerous lesions was constructed based on these risk factors,and the complete model was established based on the predic-tive model.The total score ranged from 0 to 12(with 6 to 12 indicating a high-risk population for gastric precancerous lesions and 0 to 5 indicating a low-risk population).When the complete model,the simple model,the new ABC method,and the Li's score were included in the validation cohort for comparison,the predictive values of the complete model and the simple model were similar.Both models demonstrated higher sensitivity,specificity,positive predictive value,negative predictive value,and accuracy compared to the new ABC method and the Li's score.Furthermore,the diag-nostic value of the simple model in the high-sensitivity region was slightly superior to that of the com-plete model.Conclusion The simple model constructed based on the urea breath test,PG and G-17 exhibits favorable predictive efficacy,calibration,and clinical utility,and is of positive signifi-cance for the early identification of patients with gastric precancerous lesions.