Objective To introduce the causes of accidents and the diagnosis and treatment of two patients with radiation-induced skin injury admitted to our hospital in 2023, and to provide a reference for the clinical treatment of subsequent radiation-induced skin injury. Methods The clinical treatment process of two patients with acute skin injury caused by external radiation exposure were summarized and analyzed. Results The exposure history of the two patients was reconstructed, the flaw detection scenario was simulated, the biological dose and hand skin exposure dose were estimated, and the infrared thermal imaging device was used for dynamic monitoring. A comprehensive analysis was conducted based on clinical manifestations and other data. The diagnosis of “Xie” was excessive exposure combined with acute radiation-induced skin injury on both hands (Grade IV for the right hand palm, index finger, and middle finger and Grade II for the left hand little finger). The diagnosis of “Hao” was acute radiation-induced skin injury on both hands (Grade I). The two patients received different clinical treatment measures: “Xie” was treated with both local and systemic therapies, while “Hao” was mainly treated with systemic therapy. Conclusion After systematic and effective treatment, the radiation-induced skin injuries healed in both patients.

Objective To investigate the association between physical activity levels and blood lipids among college freshmen, and to provide scientific evidence for the health management of college freshmen. Methods An electronic questionnaire survey on physical activity was conducted on freshmen of a university, and fasting blood biochemical indicators were detected. The International Physical Activity Questionnaire (IPAQ) short form was used to evaluate the physical activity levels of the participants. Dyslipidemia was defined as an abnormality in any one of the following serum lipid parameters: total cholesterol, triglycerides, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), or non-high-density lipoprotein cholesterol. Binary logistic regression and stratified analyses were employed to explore the relationship between physical activity and blood lipids. Results A total of 3 401 participants were included, with an average age of 18.45 ± 0.92 years, and 60.5% were female. The prevalence of dyslipidemia was 17.7%, with a higher rate among males (22.1%) than females (14.8%). After adjusting for confounding factors related to blood lipids, high-intensity physical activity was negatively associated with the risk of elevated LDL-C among males (OR = 0.36, 95% CI: 0.13–0.99, P = 0.049). Conclusion Among freshmen at a medical college in Hubei Province, high-intensity physical activity is negatively associated with the risk of elevated LDL-C in males, but this association needs to be further confirmed by larger prospective cohort studies.

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.

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 analyze the clinical efficacy of"Siming Acupoint"massage technique in the treatment of true myopia in children and adolescents,and explore the related factors influencing the therapeutic effect.Methods From January 2021 to January 2024,257 cases of children and adolescents with true myopia and 475 eyes treated and followed up at the Pediatric Massage Center of Shandong Hospital of Traditional Chinese Medicine were included in this study.And they were divided into the low myopia group(374 eyes),the moderate myopia group(76 eyes)and the high myopia group(25 eyes).The clinical efficacy was analyzed by comparing the observation indicators changes before and after the intervention.The occurrence of ineffective treatment was observed,and the related factors of ineffective treatment were explored by using univariate comparison and multivariate Logistic regression analysis.Results Clinical results showed that the effective rate of 257 children and 475 eyes was 93.05%;the effective rate of 374 eyes in the low myopia group was 98.13%;the effective rate of 76 eyes in the moderate myopia group was 81.58%;the effective rate of 25 eyes in the high myopia group was 52.00%.The score of visual fatigue symptoms after the intervention was significantly lower than that before the intervention(P<0.001);The naked eye vision after the intervention was significantly higher than that before the intervention(P<0.001);After the intervention,NRA and PRA were significantly enhanced compared with those before the intervention(P all<0.001).Risk factor analysis of ineffectiveness showed that there were 33 eyes in the ineffective group and 442 eyes in the effective group.The proportion of patients with a history of sweet tooth in the ineffective group was significantly higher than that in the effective group(P=0.020);The course of disease in the ineffective group was significantly longer than that in the effective group(P=0.001);And there were also significant differences in the degree of myopia between the two groups,the proportion of high myopia in the ineffective group was significantly higher than that in the effective group(P<0.001);The spherical diopter,equivalent spherical diopter and cylindrical diopter in the ineffective group were all significantly higher than those in the effective group(P all<0.001);The axial length of the eye in the ineffective group was significantly longer than that in the effective group(P=0.005);The naked eye vision before treatment and the corrected naked eye vision at the first treatment in the ineffective group were both worse than those in the effective group(both P<0.001);The proportion of patients with outdoor activities<2 hours/day and the proportion of patients with night sleep time<7 hours/day in the ineffective group were significantly higher than those in the effective group(P=0.022,P=0.012).Binary multivariate Logistic regression analysis showed that combined outdoor activities<2 hours/day(OR=8.270,P<0.001),equivalent spherical diopter(OR=2.724,P=0.005),and night sleep time<7 hours/day(OR=2.507,P=0.014)were the risk factors for ineffective treatment of true myopia in children and adolescents with"Siming Acupoints"massage technique.The ROC curve showed that the area under the curve for outdoor activities<2 hours/day was 0.603;The area under the curve for equivalent spherical diopter was 0.678;the area under the curve for night sleep time<7 hours/day was 0.667.Conclusion The"Siming Acupoints"massage technique may be able to improve the naked eye vision of patients,improve NRA,PRA and visual fatigue symptoms,and control the growth of axial length and equivalent spherical diopter.Outdoor activities<2 hours/day,equivalent spherical diopter,and night sleep time<7 hours/day are the risk factors for ineffective treatment of true myopia in children and adolescents with"Siming Point"massage technique.

The technologies for ovarian tissue cryopreservation and entire process for ovarian tissue cryopreservation and transplantation were introduced,and the medical equipment configuration was summarized for each stage of ovarian tissue cryopreservation and transplantation.Detailed plans and management methods were proposed for the medical equipment configuration of ovarian tissue cryopreservation and transplantation,and relevant precautions,possible problems and solutions during the process were put forward.References were provided for medical institutions planning to carry out ovarian tissue cryopreservation and transplantation.[Chinese Medical Equipment Journal,2025,46(4):63-69]

Objective To investigate the intracranial hemodynamic parameters with transcranial color-coded duplex sonography(TCCS)in elderly patients with acute ischemic stroke(AIS)after endovascular therapy,and analyze their association with functional outcomes.Methods A total of 360 elderly AIS patients undergoing endovascular therapy in our hospital from March 1,2020 to January 31,2024 were prospectively included,and according to the score of modified Rankin scale(mRS)at 90 d,they were divided into a poor function group(mRS score 3-6,145 cases)and good function group(mRS score≤2,215 cases).TCCS was conducted on all the patients in 12 h after endovascular therapy to evaluate intracranial blood flow status.Peak systolic velocity(PSV),end-diastolic velocity(EDV),mean blood flow velocity(MFV),pulsatility index(PI),MFV ratio and PSV ratio,adjusted PSV ratio and adjusted MFV ratio were recorded in all pa-tients.Receiver operator characteristic(ROC)curve analysis was employed to analyze the value of TCCS parameters in predicting poor functional outcomes,and the AUC values and cut-off values were also analyzed.Results The PSV ratio,MFV ratio,adjusted PSV ratio and adjusted MFV ra-tio were significantly higher in the poor function group than the good function group(P＜0.01).The predictive performance of PSV ratio and MFV ratio were not good enough for poor functional outcome in the AIS patients(AUC＜0.750),while the adjusted PSV ratio and adjusted MFV ratio showed better predictive performance(P＜0.01).Multivariate logistic regression analysis showed that NIHSS score at admission ≥14.00,ASPECT score at admission≥8.00,adjusted PSV ratio＞1.39 and adjusted MFV ratio＞1.40 were independent risk factors for poor functional outcomes in AIS patients(P＜0.01).ROC curve analysis indicated that combined NIHSS score at admission+ASPECT score at admission showed poor value in predicting poor functional outcome in the AIS(AUC=0.780,95％CI:0.734-0.822),the predictive performance of combination of above two scores+adjusted PSV ratio+adjusted MFV ratio was significantly improved(AUC=0.976,95％CI:0.955-0.989),with higher sensitivity and specificity(Z=8.261,P＜0.01).Conclusion Early TCCS detection in elderly AIS patients after endovascular treatment is an effective method for identifying poor functional outcomes at 90 d,with the advantages of non invasiveness and easy op-eration.And,better predictive performance is obtained when adjusted PSV ratio and adjusted MFV ratio are combined with conventional predictors.

Objective To evaluate the effects of transcatheter aortic valve replacement(TAVR)on left ventricular reverse remodeling(LVRR)and outcomes in patients with mixed aortic valve disease(MAVD)and predominant aortic stenosis(AS).Methods Patients undergoing TAVR at our center between January 2020 and December 2022 were enrolled consecutively.Propensity score matching(PSM)(1∶1 ratio)was used to reduce selection bias.Transthoracic echocardiography(TTE)was used to monitor left ventricular ejection fraction(LVEF)and other structural parameters over time.The study outcome was a composite of cardiovascular death and rehospitalization due to cardiovascular causes.Linear mixed-effects models and logistic regression were utilized for comparing echocardiographic changes across groups and identifying independent risk factors for no-LVRR,respectively.Results After PSM,126 patients were included.MAVD group exhibited larger structural parameters(left ventricular end-systolic/end-diastolic diameter and volume,left ventricular mass index)and a lower left ventricular ejection fraction(LVEF)(all P＜0.05).However,more pronounced improvements in left ventricular structure and hemodynamics were observed during follow-up.Multivariate logistic regression analysis indicated that the left ventricular mass index(LVMI)was an independent predictor of left ventricular reverse remodeling(LVRR)after TAVR,whereas persistent moderate or greater mitral regurgitation(MR)and paravalvular leak(PVL)significantly reduced the incidence of LVRR.During a median follow-up period of 23 months,a total of 31 endpoint events occurred,and there was no statistically significant difference in long-term prognosis between the two groups(Log-rank P=0.330).Conclusions Compared to patients in the AS group,those in the MAVD group exhibited more severe left ventricular remodeling before TAVR.However,more significant LVRR was observed during postoperative follow-up.Additionally,the long-term prognosis was comparable between the two groups.