Objective To investigate the effects of low-dose ionizing radiation on the thyroid status and hormone levels of radiation workers. Methods Radiation workers who underwent occupational health examinations at a hospital in Guangzhou from 2015 to 2022 were selected as the subjects of this study. The levels of FT3, FT4 and TSH were analyzed, and the thyroid abnormality status of radiation workers in different groups were compared. Results A total of 1152 participants were included in this study, consisting of 885 (76.82%) males and 267 (23.18%) females, with an average age of (35.26 ± 10.16) years. The prevalence of thyroid abnormalities was 9.38%, which was significantly higher in females (13.86%) than in males (8.02%) (P < 0.05). The TSH level of females [(2.15 ± 1.29) mIU/L] was higher than that of males [(1.85 ± 1.20) mIU/L], while the levels of FT3 [(5.10 ± 0.64) pmol/L] and FT4 [(15.84 ± 2.32) pmol/L] in females were lower than those in males [(5.23 ± 0.63) pmol/L and (16.61 ± 2.75) pmol/L, P < 0.05]. The FT3 of industrial workers [(5.25 ± 0.63) pmol/L] was higher than that of medical workers [(5.10 ± 0.63) pmol/L], while the TSH of industrial workers [(1.80 ± 1.12) mIU/L] was lower than that of medical workers [(2.15 ± 1.37) mIU/L]. FT4 levels decreased with increasing age and duration of occupational exposure. Multivariable logistic regression analysis revealed that sex was a significant independent predictor of thyroid abnormalities among radiation workers. Female workers were more likely to experience thyroid abnormalities (β = −0.62, P < 0.05). Conclusion Low-dose ionizing radiation may have a certain impact on the thyroid status of radiation workers, especially for female workers, which requires further attention and research.

OBJECTIVE To study the extraction technology of Sophora flavescens-Phellodendron chinense drug pair and provide a reference for the development of new drugs for the treatment of anorectal diseases. METHODS Using the contents of total alkaloids of S. flavescens （matrine+oxymatrine）， berberine hydrochloride and total flavonoid， and extract yield as evaluation indicators， analytic hierarchy process-entropy weight method was used to calculate the weight coefficient of each indicator， and was combined with Box-Behnken design-response surface method to study the extraction technology of S. flavescens-P. chinense drug pair and verify it. RESULTS The optimal extraction technology of S. flavescens-P. chinense drug pair was immersed in 12-fold amount of 58% ethanol for 30 minutes and extracted twice， each time for 120 minutes. The relative error between the verification experimental results and the predicted value was 1.88%. CONCLUSIONS The obtained extraction technology is stable and feasible and can provide reference for the application of S. flavescens-P. chinense drug pair and development of new drugs.

OBJECTIVE To explore the effect of volatile oil of Ligusticum chuanxiong on the transdermal properties and cytotoxicity of triptolide in vitro. METHODS The chemical constituents of the volatile oil of L. chuanxiong were analyzed by gas chromatography-mass spectrometry. The lower abdominal skin of KM mice was separated and divided into triptolide group， triptolide in compatibility with volatile oil of L. chuanxiong groups at 1∶10， 1∶50， 1∶100 （hereinafter referred to as “compatibility 1∶10”“compatibility 1∶50”“compatibility 1∶100” groups）. After the skin of mice in each group was fully exposed to 0.2 g of the corresponding cream for 24 h， the cumulative transdermal dose （Qn） of triptolide in the receiving solution of each group was determined by high-performance liquid chromatography， and the transdermal absorption rate （Jss） was calculated. Human immortalized keratinocytes （HaCat） were used as a model， the CCK-8 method was used to detect the cell survival rate of different concentrations of the volatile oil of L. chuanxiong and triptolide before and after compatibility. RESULTS A total of 62 chemical constituents of the volatile oil of L. chuanxiong were identified， including Z-ligustilide， senkyunolide， and β-selinene. The Qn （P＜ 0.01） and Jss of triptolide increased within 24 h in the compatibility 1∶10 and 1∶50 groups， while the Qn （P＜0.05） and Jss decreased in the compatibility 1∶100 group as compared with the triptolide group. Compared with the triptolide group， the cell survival rate of HaCat was significantly increased in the compatibility 1∶10 and 1∶50 groups when the triptolide concentrations were 36， 72 and 144 ng/mL （P＜0.05 or P＜0.01）； while the cell survival rate of HaCat was decreased in the compatibility 1∶100 group， but the difference was not statistically significant （P＞0.05）. CONCLUSIONS When the compatibility ratio of triptolide and volatile oil of L. chuanxiong was 1∶10 or 1∶50， it can promote the transdermal absorption of triptolide and reduce the cytotoxicity of triptolide to HaCat.

Objective:Employing the cascade care model, this qualitative study explores determinants influencing the cascading care stages of hypertension and diabetes by interviewing various stakeholders.Methods:In July 2023, purposive sampling was employed to recruit participants from Gongyi and Wugang cities in Henan Province, and Linqu County in Weifang City, Shandong Province. Semi-structured in-depth interviews were conducted with representatives of policymakers, healthcare institution managers, providers, and patients with hypertension and diabetes.And thematic analysis was performed using both inductive and deductive approaches.Results:A total of 82 individuals were interviewed, with an age range of (53.8±12.0) years, among which 48 (58.5%) were male; including 5 policymakers, 10 institutional managers, 20 healthcare providers, and 47 patients with hypertension and diabetes. The study identified both barriers and facilitating factors at the patient, healthcare provider, and system levels across various stages: awareness, screening, diagnosis, treatment, long-term management, and control of hypertension and diabetes.Conclusion:By delineating and analyzing the barriers and facilitators at each stage of hypertension and diabetes care, this study lays the groundwork for the development of effective, feasible, and sustainable implementation pathways, with significant implications for the enhanced management of hypertension and diabetes in China.

Objective To develop a method for accurate identification of multiscale carotid plaques in ultrasound images.Methods We proposed a two-stage carotid plaque detection method based on deep convolutional neural network(SM-YOLO).A series of algorithms such as median filtering,histogram equalization,and Gamma transformation were used to preprocess the dataset to improve image quality.In the first stage of the model construction,a candidate plaque set was built based on the YOLOX_l target detection network,using multiscale image training and multiscale image prediction strategies to accommodate carotid artery plaques of different shapes and sizes.In the second stage,the Histogram of Oriented Gradient(HOG)features and Local Binary Pattern(LBP)features were extracted and fused,and a Support Vector Machine(SVM)classifier was used to screen the candidate plaque set to obtain the final detection results.This model was compared quantitatively and visually with several target detection models(YOLOX_l,SSD,EfficientDet,YOLOV5_l,Faster R-CNN).Results SM-YOLO achieved a recall of 89.44%,an accuracy of 90.96%,a F1-Score of 90.19%,and an AP of 92.70%on the test set,outperforming other models in all performance indicators and visual effects.The constructed model had a much shorter detection time than the Faster R-CNN model(only one third of that of the latter),thus meeting the requirements of real-time detection.Conclusion The proposed carotid artery plaque detection method has good performance for accurate identification of carotid plaques in ultrasound images.

Objective:Employing the cascade care model, this qualitative study explores determinants influencing the cascading care stages of hypertension and diabetes by interviewing various stakeholders.Methods:In July 2023, purposive sampling was employed to recruit participants from Gongyi and Wugang cities in Henan Province, and Linqu County in Weifang City, Shandong Province. Semi-structured in-depth interviews were conducted with representatives of policymakers, healthcare institution managers, providers, and patients with hypertension and diabetes.And thematic analysis was performed using both inductive and deductive approaches.Results:A total of 82 individuals were interviewed, with an age range of (53.8±12.0) years, among which 48 (58.5%) were male; including 5 policymakers, 10 institutional managers, 20 healthcare providers, and 47 patients with hypertension and diabetes. The study identified both barriers and facilitating factors at the patient, healthcare provider, and system levels across various stages: awareness, screening, diagnosis, treatment, long-term management, and control of hypertension and diabetes.Conclusion:By delineating and analyzing the barriers and facilitators at each stage of hypertension and diabetes care, this study lays the groundwork for the development of effective, feasible, and sustainable implementation pathways, with significant implications for the enhanced management of hypertension and diabetes in China.

Objective To develop a method for accurate identification of multiscale carotid plaques in ultrasound images.Methods We proposed a two-stage carotid plaque detection method based on deep convolutional neural network(SM-YOLO).A series of algorithms such as median filtering,histogram equalization,and Gamma transformation were used to preprocess the dataset to improve image quality.In the first stage of the model construction,a candidate plaque set was built based on the YOLOX_l target detection network,using multiscale image training and multiscale image prediction strategies to accommodate carotid artery plaques of different shapes and sizes.In the second stage,the Histogram of Oriented Gradient(HOG)features and Local Binary Pattern(LBP)features were extracted and fused,and a Support Vector Machine(SVM)classifier was used to screen the candidate plaque set to obtain the final detection results.This model was compared quantitatively and visually with several target detection models(YOLOX_l,SSD,EfficientDet,YOLOV5_l,Faster R-CNN).Results SM-YOLO achieved a recall of 89.44%,an accuracy of 90.96%,a F1-Score of 90.19%,and an AP of 92.70%on the test set,outperforming other models in all performance indicators and visual effects.The constructed model had a much shorter detection time than the Faster R-CNN model(only one third of that of the latter),thus meeting the requirements of real-time detection.Conclusion The proposed carotid artery plaque detection method has good performance for accurate identification of carotid plaques in ultrasound images.

The typical hallmark of tumor evolution is metabolic dysregulation. In addition to secreting immunoregulatory metabolites, tumor cells and various immune cells display different metabolic pathways and plasticity. Harnessing the metabolic differences to reduce the tumor and immunosuppressive cells while enhancing the activity of positive immunoregulatory cells is a promising strategy. We develop a nanoplatform (CLCeMOF) based on cerium metal-organic framework (CeMOF) by lactate oxidase (LOX) modification and glutaminase inhibitor (CB839) loading. The cascade catalytic reactions induced by CLCeMOF generate reactive oxygen species "storm" to elicit immune responses. Meanwhile, LOX-mediated metabolite lactate exhaustion relieves the immunosuppressive tumor microenvironment, preparing the ground for intracellular regulation. Most noticeably, the immunometabolic checkpoint blockade therapy, as a result of glutamine antagonism, is exploited for overall cell mobilization. It is found that CLCeMOF inhibited glutamine metabolism-dependent cells (tumor cells, immunosuppressive cells, etc.), increased infiltration of dendritic cells, and especially reprogrammed CD8⁺ T lymphocytes with considerable metabolic flexibility toward a highly activated, long-lived, and memory-like phenotype. Such an idea intervenes both metabolite (lactate) and cellular metabolic pathway, which essentially alters overall cell fates toward the desired situation. Collectively, the metabolic intervention strategy is bound to break the evolutionary adaptability of tumors for reinforced immunotherapy.

Objective:To develop a risk prediction lineogram of neooperative atrial fibrillation in patients with esophageal cancer.Methods:The clinical data of 1 509 patients undergoing esophageal cancer surgery admitted to the department of esophageal surgery of our hospital from December 2019 to April 2022 were gathered, and they were divided into two layers according to whether they had new atrial fibrillation after surgery. In each layer, they were randomly divided into training set and test set in a ratio of 7∶3. In the training population, the multi-factor logistic regression method was used to establish the prediction model, and the line graph of the prediction model was drawn. The ROC curve and calibration curve were drawn to assess the differentiation ability and calibration ability of the prediction model. The test set population is used to validate the prediction model. Results:A total of 1 509 patients with esophageal cancer were included in the study, and the incidence of new atrial fibrillation after surgery was 247 patients(16.4%). A total of 1 039 patients(68.9%) were enrolled in the training set. The multivariate logistic regression model indicated that age, gender, BMI, pulmonary infection, the use of invasive ventilator, and the need for additional drainage of fluid accumulation were the influencing factors for new postoperative atrial fibrillation. The AUC of the training set prediction model under ROC curve was 0.775(95% CI: 0.737-0.812, P<0.001), indicating that the model has high predictive discrimination ability. Calibration curve and Hosmer- Lemeshow test results P=0.796, indicating that the model has good consistency of prediction ability. There were 470 subjects(31.1%) in the test set. The results showed that the AUC of the prediction model under the ROC curve was 0.773(95% CI: 0.719-0.826, P<0.001), indicating that the prediction model still has a high discriminative ability in the test set population. Conclusion:Patients with age, gender, BMI, pulmonary infection, the use of invasive ventilator, and the need for additional drainage of effusion are at higher risk of new atrial fibrillation after surgery. The timely prediction, prevention and management of POAF are crucial to improve the prognostic quality of postoperative patients with esophageal cancer by constructing clinical prediction models.

Objective    To summarize the early outcomes of totally thoracoscopic minimally invasive aortic valve replacement (AVR) and double valve replacement (DVR). Methods    The clinical data of patients who underwent totally thoracoscopic minimally invasive AVR or DVR in Guangdong Provincial People’s Hospital from April 2020 to January 2021 were retrospectively analyzed. The patients were divided into an AVR group and a DVR group according to the surgical method, and the clinical data of the two groups were compared. Results    Finally 22 patients were enrolled, including 14 males and 8 females with an average age of 50.0±11.2 years at operation. Eight patients were degenerative disease, 8 were rheumatic heart disease combined with valvular disease, and 6 were bicuspid aortic valve. Out of the 22 patients, 16 underwent AVR alone, and 6 underwent DVR. All patients completed the operation successfully, and there was no death. Perivalvular leakage during surgery occurred in 2 patients. The average cardiopulmonary bypass time was 187.0±39.9 minutes, and aortic cross-clamping time was 117.0 (99.0, 158.0) minutes. Duration of mechanical ventilation and intensive care unit stay was 9.5 (4.8, 18.3) hours and 41.0 (34.0, 64.0) hours, respectively. The volume of chest drainage at the first 24 hours after surgery was 214.0±124.6 mL, and the postoperative hospital stay was 5.5 (4.0, 8.3) days. The cardiopulmonary bypass time and aortic cross-clamping time in the DVR group were longer than those in the AVR group, and the volume of chest drainage at 24 hours after surgery was more than that in the AVR group, with a statistical difference (P<0.05). Echocardiography before hospital discharge showed paravalvular leakage in 1 patient. There was no death during follow-up of 5.9±3.0 months. Conclusion    The early outcome of totally thoracoscopic minimally invasive AVR and DVR is satisfactory, and the approach of surgery is worth exploring.