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 systematically evaluate the risk prediction models for anastomotic leakage (AL) in patients with esophageal cancer after surgery. Methods A computer-based search of PubMed, EMbase, Web of Science, Cochrane Library, Chinese Medical Journal Full-text Database, VIP, Wanfang, SinoMed and CNKI was conducted to collect studies on postoperative AL risk prediction model for esophageal cancer from their inception to October 1st, 2023. PROBAST tool was employed to evaluate the bias risk and applicability of the model, and Stata 15 software was utilized for meta-analysis. Results A total of 19 literatures were included covering 25 AL risk prediction models and 7373 patients. The area under the receiver operating characteristic curve (AUC) was 0.670-0.960. Among them, 23 prediction models had a good prediction performance (AUC>0.7); 13 models were tested for calibration of the model; 1 model was externally validated, and 10 models were internally validated. Meta-analysis showed that hypoproteinemia (OR=9.362), postoperative pulmonary complications (OR=7.427), poor incision healing (OR=5.330), anastomosis type (OR=2.965), preoperative history of thoracoabdominal surgery (OR=3.181), preoperative diabetes mellitus (OR=2.445), preoperative cardiovascular disease (OR=3.260), preoperative neoadjuvant therapy (OR=2.977), preoperative respiratory disease (OR=4.744), surgery method (OR=4.312), American Society of Anesthesiologists score (OR=2.424) were predictors for AL after esophageal cancer surgery. Conclusion At present, the prediction model of AL risk in patients with esophageal cancer after surgery is in the development stage, and the overall research quality needs to be improved.

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.

Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1％(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5％,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3％(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1％)were isolated from sputum and respiratory secretions,followed by urine(10.7％)and blood samples(8.1％).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1％.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4％in the patients＜18 years old to 20.6％in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.

Background:Postoperative nutritional status and nutritional support therapy are important driving factor for clinical outcomes in patients after lung transplantation.This study aims to evaluate the relationship between mNUTRIC scores and prognosis in patients after lung transplantation.Methods:A retrospective inclusion of 253 patients who underwent lung transplantation at Wuxi People's Hospital Affiliated to Nanjing Medical University from January 2020 to December 2022.The nutritional risk in patients after lung transplantation is much higher than in other critically ill patients.To explore the optimal threshold,patients were divided into three groups based on the tertiles of mNUTRIC scores,and clinical outcomes were compared.The predictive ability of the mNUTRIC score was analyzed using receiver operating characteristic(ROC)curve.The appropriate threshold was determined using the Youden index based on the highest combined sensitivity and specificity.Results:Among 253 patients,the 30-day mortality rate was 14.2%.The death group had higher age and BMI,with APACHE II,SOFA,and mNUTRIC scores all higher than those in the survival group.The median mNUTRIC score in the death group was 5.00(3.00～6.00).The higher the mNUTRIC score,the greater the gradual increase in 30-day mortality rate.When the mNUTRIC score was 4～6,the patient mortality rate was 21.21%,and when 7～9,it was 42.31%.The Q3 group had significantly prolonged mechanical ventilation time,was more prone to delayed weaning,had longer ICU length of stay,and higher tracheotomy rate.Multivariate Cox regression analysis and Kaplan-Meier survival curve showed that mNUTRIC score is an independent risk factor for 30-day mortality,with mortality rate increasing as the score increased(P<0.001).The area under the ROC curve(AUC)for mNUTRIC score was 0.765(95%CI:0.686,0.644).According to the Youden index,the optimal cutoff value is when mNUTRIC score equals 3.5,used to predict high nutritional risk and 30-day mortality in lung transplant patients.Conclusion:The mNUTRIC score has a good predictive effect on the prognosis of patients after lung transplantation and is expected to be applied in clinical practice as a routine assessment tool to help clinicians perform postoperative nutritional risk stratification.