Objective To analyze the distribution of occupational hazard factors (OHFs) in key enterprises in Foshan City. Methods A total of 373 enterprises from 11 key industries in Foshan City in 2022 were selected as the research subjects using the purposive sampling method. Monitoring data of OHFs in workplaces were obtained and analyzed from the "Workplace Occupational Hazards Monitoring Information System" under "China Disease Prevention and Control Information System". Results Among the 373 enterprises, small and micro-sized enterprises, and large and medium-sized enterprises accounted for 85.5% and 14.5% respectively. A total of 24 137 sampling points in the workplaces were monitored for OHFs, with the national standard compliance rate of 92.1%. Among different OHFs, the compliance rates ranked from highest to lowest were chemical agents, dust, and noise (98.0% vs 89.3% vs 52.0%, P<0.01). A total of 63 131 workers were employed in 373 enterprises, among whom 29 753 were exposed to OHFs, yielding an overall exposure rate of 47.1%. Exposure rates of OHFs by enterprise scale, from highest to lowest, were micro-sized, small-sized, medium-sized, and large-sized enterprises (69.2% vs 52.7% vs 47.3% vs 39.0%, P<0.01). The proportion of workers participated in occupational medical examination was 85.1%, with re-examination proportion of 62.5% and the abnormality detection rate of 2.1%. Conclusion In key enterprises in Foshan City, the risk of noise exposure is relatively high, and the exposure rate of OHFs is highest in micro-sized enterprises. The occupational health supervision and management department needs to strengthen the governance of noise hazards in a targeted manner and urge enterprises (especially micro-sized enterprises) to fulfill their primary responsibilities in occupational disease prevention and control.

Objective: To explore the mechanism of Buzhong Yiqi Decoction in modulating macrophage polarization and intervening in autoimmune thyroiditis (AIT) mice. Methods: Using the random number table method, 48 SPF-grade NOD.H-2h4 mice were assigned to the normal, model, low-dose (4.10 g/kg), medium-dose (8.19 g/kg), high-dose group (16.38 g/kg) of Buzhong Yiqi Decoction, and selenium yeast tablet (0.026 mg/kg) groups, with eight mice in each group. All groups, except the normal group, were free to drink high iodine water (0.05% sodium iodide) to prepare AIT mouse models for 8 consecutive weeks. After the modeling was complete, each treatment group was orally administered with the corresponding medication, while the normal and model groups were orally administered with an equal volume of distilled water once a day for 8 consecutive weeks. High-performance liquid chromatography with an oscillometric refractive detector was used to analyze the content of Astragaloside Ⅳ in Buzhong Yiqi Decoction. Hematoxylin and eosin staining was used to observe the pathological morphology of mouse thyroid tissue. Enzyme-linked immunosorbent assay (ELISA) was used to detect the levels of serum thyroid peroxidase antibody (TPO-Ab), thyroglobulin antibody (TgAb), interleukin (IL)-6, IL-10, and tumor necrosis factor-α (TNF-α). An immunofluorescence assay was used to detect the positive area percentage of M1 and M2 macrophages in mouse thyroid tissue. Flow cytometry assay was used to detect macrophage polarization in mouse spleen tissue. Real-time fluorescence quantitative PCR was used to detect the mRNA expression of nucleotide-binding domain leucine-rich repeat and pyrin domain-containing receptor 3 (NLRP3), nuclear factor kappa B inhibitory protein α (IκBα), and nuclear factor-κB (NF-κB) p65 in mouse spleen tissue. Western blotting was used to detect the expression of the phosphorylated IκBα (p-IκBα), phosphorylated NF-κB p65 (p-NF-κB p65), and NLRP3 protein in mouse spleen tissue. Results: The content of Astragaloside Ⅳ in Buzhong Yiqi Decoction was (7.09±0.06) g/L. Compared to the normal group, significant lymphocyte infiltration was observed in the thyroid tissue of mice in the model group. The levels of serum TPO-Ab, TgAb, IL-6, and TNF-α increased (P<0.05). The positive area percentage of M1 macrophages in thyroid tissue increased (P<0.05). The proportion of M1 macrophages and M1/M2 in spleen tissue increased (P<0.05). The relative expression levels of NF-κB p65 and NLRP3 mRNA in spleen tissue increased (P<0.05). The relative expression of p-IκBα, p-NF-κB p65, and NLRP3 proteins increased (P<0.05). Compared to the model group, the inflammation infiltration degree in the thyroid tissue of mice in each dose group of Buzhong Yiqi Decoction and selenium yeast tablet group was reduced, the serum TPO-Ab, TgAb, IL-6, TNF-α content was decreased, the spleen tissue M1/M2 was reduced, the expression of NF-κB p65 mRNA was reduced, and the relative expression levels of p-IκBα, p-NF-κB p65 protein were reduced (P<0.05). The Buzhong Yiqi Decoction high-dose and selenium yeast tablets groups showed an increase in IL-10 content, an increase in positive area percentage of M2 macrophages in thyroid tissue, an increase in M2 macrophages proportion in spleen tissue, and a decrease in NLRP3 mRNA and protein relative expression levels (P<0.05). Conclusion Buzhong Yiqi Decoction may regulate macrophage polarization by inhibiting the NF-κB/NLRP3 signaling pathway, thus improving the inflammatory damage in mice with AIT.

OBJECTIVE: To investigate a new noninvasive diagnostic model for nonalcoholic fatty liver disease (NAFLD) based on features of tongue images. METHODS: Healthy controls and volunteers confirmed to have NAFLD by liver ultrasound were recruited from China-Japan Friendship Hospital between September 2018 and May 2019, then the anthropometric indexes and sampled tongue images were measured. The tongue images were labeled by features, based on a brief protocol, without knowing any other clinical data, after a series of corrections and data cleaning. The algorithm was trained on images using labels and several anthropometric indexes for inputs, utilizing machine learning technology. Finally, a logistic regression algorithm and a decision tree model were constructed as 2 diagnostic models for NAFLD. RESULTS: A total of 720 subjects were enrolled in this study, including 432 patients with NAFLD and 288 healthy volunteers. Of them, 482 were randomly allocated into the training set and 238 into the validation set. The diagnostic model based on logistic regression exhibited excellent performance: in validation set, it achieved an accuracy of 86.98%, sensitivity of 91.43%, and specificity of 80.61%; with an area under the curve (AUC) of 0.93 [95% confidence interval (CI) 0.68-0.98]. The decision tree model achieved an accuracy of 81.09%, sensitivity of 91.43%, and specificity of 66.33%; with an AUC of 0.89 (95% CI 0.66-0.92) in validation set. CONCLUSIONS The features of tongue images were associated with NAFLD. Both the 2 diagnostic models, which would be convenient, noninvasive, lightweight, rapid, and inexpensive technical references for early screening, can accurately distinguish NAFLD and are worth further study.
Humans ; Non-alcoholic Fatty Liver Disease/diagnostic imaging* ; Ultrasonography ; Anthropometry ; Algorithms ; China

OBJECTIVE To analyze the metabolites of Zhideke granules and speculate its metabolic pathway in rats in vivo. METHODS Male SD rats were randomly divided into blank group and administration group （Zhideke granules， 9.45 g/kg）； they were given ultrapure water or relevant medicine， twice a day， every 6-8 h， for 3 consecutive days. Serum， urine and feces samples of rats were collected， and their metabolites were identified by UPLC-Q-Exactive-MS technique after intragastric administration of Zhideke granules； their metabolic pathways were speculated. RESULTS After intragastric administration of Zhideke granules， 16 prototype components （i.g. irisflorentin， baicalin， chlorogenic acid） and 11 metabolites （i.g. hydration products of kaempferol or luteolin， methylation products of chlorogenic acid， and hydroxylation products of baicalin） were identified in serum， urine and feces of rats. Among them， 8 prototype components and 4 metabolites were identified in serum samples； 10 prototype components and 7 metabolites were identified in urine samples； 8 prototype components and 5 metabolites were identified in the fecal samples. CONCLUSIONS The metabolites of Zhideke granules in rats mainly include baicalin， irisflorentin，chlorogenic acid， and the main metabolic pathways included methylation， hydroxylation， glucuronidation.

Humans ; Aged ; Lung Diseases ; Pneumonia/drug therapy* ; Adrenal Cortex Hormones/therapeutic use* ; Pulmonary Disease, Chronic Obstructive/drug therapy* ; Administration, Inhalation ; Community-Acquired Infections/drug therapy*

Objective:To investigate the current status of endoscopic treatment for gastroesophageal varices in portal hypertension in China, and to provide supporting data and reference for the development of endoscopic treatment.Methods:In this study, initiated by the Liver Health Consortium in China (CHESS), a questionnaire was designed and distributed online to investigate the basic condition of endoscopic treatment for gastroesophageal varices in portal hypertension in 2022 in China. Questions included annual number and indication of endoscopic procedures, adherence to guideline for preventing esophagogastric variceal bleeding (EGVB), management and timing of emergent EGVB, management of gastric and isolated varices, and improvement of endoscopic treatment. Proportions of hospitals concerning therapeutic choices to all participant hospitals were calculated. Guideline adherence between secondary and tertiary hospitals were compared by using Chi-square test.Results:A total of 836 hospitals from 31 provinces (anotomous regions and municipalities) participated in the survey. According to the survey, the control of acute EGVB (49.3%, 412/836) and the prevention of recurrent bleeding (38.3%, 320/836) were major indications of endoscopic treatment. For primary [non-selective β-blocker (NSBB) or endoscopic therapies] and secondary prophylaxis (NSBB and endoscopic therapies) of EGVB, adherence to domestic guideline was 72.5% (606/836) and 39.2% (328/836), respectively. There were significant differences in the adherence between secondary and tertiary hospitals in primary prophylaxis of EGVB [71.0% (495/697) VS 79.9% (111/139), χ2=4.11, P=0.033] and secondary prophylaxis of EGVB [41.6% (290/697) VS 27.3% (38/139), χ2=9.31, P=0.002]. A total of 78.2% (654/836) hospitals preferred endoscopic therapies treating acute EGVB, and endoscopic therapy was more likely to be the first choice for treating acute EGVB in tertiary hospitals (82.6%, 576/697) than secondary hospitals [56.1% (78/139), χ2=46.33, P<0.001]. The optimal timing was usually within 12 hours (48.5%, 317/654) and 12-24 hours (36.9%, 241/654) after the bleeding. Regarding the management of gastroesophageal varices type 2 and isolated gastric varices type 1, most hospitals used cyanoacrylate injection in combination with sclerotherapy [48.2% (403/836) and 29.9% (250/836), respectively], but substantial proportions of hospitals preferred clip-assisted therapies [12.4% (104/836) and 26.4% (221/836), respectively]. Improving the skills of endoscopic doctors (84.2%, 704/836), and enhancing the precision of pre-procedure evaluation and quality of multidisciplinary team (78.9%, 660/836) were considered urgent needs in the development of endoscopic treatment. Conclusion:A variety of endoscopic treatments for gastroesophageal varices in portal hypertension are implemented nationwide. Participant hospitals are active to perform emergent endoscopy for acute EGVB, but are inadequate in following recommendations regarding primary and secondary prophylaxis of EGVB. Moreover, the selection of endoscopic procedures for gastric varices differs greatly among hospitals.

Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.

Objective:To evaluate the difference in efficacy between liposuction combined with single-port endoscopic subcutaneous adenomectomy and traditional open surgery in treating adolescent male breast development disorder,and to compare their effects on patients'anxiety levels and quality of life.Methods:A total of sixty-four patients with adolescent male mammary gland dysplasia who underwent surgery at our hospital between March 2022 and June 2023 were included in this retrospective analysis,with 28 cases in the open surgery group and 36 cases in the single-hole endoscopic group.The study compared various parameters including surgery duration,intraoperative bleeding,incision length,hospitalization duration,treatment cost,and postoperative complications,alongside collecting GAD-7,SF-36,and SCAR questionnaire scores from the pa-tients.Results:The single-port endoscopy group,in comparison to the open surgery group,showed a slightly longer operation time and higher treatment cost but had a shorter hospitalization duration and smaller incision.There was no significant difference observed between the two groups concerning intraoperative bleeding.Notably,the single-port endoscopy group exhibited more significant improvements in SCAR,SF-36,and GAD-7 scores(P＜0.05).Conclusion:Com-pared with traditional open surgery,liposuction combined with single-port endoscopic subcutane-ous adenomectomy is more effective in treating adolescent gynecomastia.This approach not only offers better aesthetic outcomes but also proves effective in reducing patient anxiety and signifi-cantly enhancing their quality of life.

Objectives:The present study evaluated the impact of ablation pain during pulmonary vein isolation(PVI)on catheter-tissue contact at different regions. Methods:Forty consecutive patients with atrial fibrillation(AF)referred to Central China Fuwai Hospital for catheter radiofrequency ablation from February to May 2023 were enrolled.The pulmonary veins on each side were divided into 8 regions.The catheter-tissue contact force(CF)and the number of ablation contact stability(>50%catheter attach time CF≥10 g)of each ablation lesion were analyzed.Pain scores during the ablation were assessed using the Faces Pain Scale-Revised and the maximum score was taken for each ablation region.Based on the pain scores,in each region,20 cases with higher pain scores were categorized into the pain group and 20 cases with lower pain scores were categorized into the normal group.The CF characteristics of each region and the relationship with ablation induced pain were analyzed. Results:A total of 3 832 lesions were recorded in 40 patients with AF,with a mean CF of(12.2±7.8)g.Among them,the CF in the pain group was significantly lower than that in the normal group([11.1±5.1]g vs.[13.4±4.8]g,P<0.05).The top region of the right pulmonary vein was the region with the largest CF(16.5±5.8)g,and the upper part of the left anterior wall(at the ridge between the left atrial appendage)was the region with the smallest CF(7.5±3.7)g.At the bottom of right pulmonary vein,right lower posterior wall,left pulmonary vein,and left posterior wall,as well as the middle region of left posterior wall,and upper region of left posterior wall,the CF was significantly smaller in the pain group than that in the normal group(all P<0.05).Of the 3 832 lesions,2 193(57.2%)were stable lesions,and the proportion of stable lesions in the pain group was significantly lower than that in the normal group(55.2%vs.59.5%,P<0.05).In the right pulmonary vein bottom,right lower posterior wall,left lower anterior wall,left pulmonary vein bottom,and left lower posterior wall,the proportion of stable lesions was significantly lower in the pain group than in the normal group(all P<0.05).In addition,the ratio of stable lesions in left pulmonary vein regions was lower than in the right(54.2%vs.60.5%,P<0.05).In the upper part of the left anterior wall(at the ridge between the left atrial appendage),only 88(39.3%)of the 224 lesions in 40 patients were stable lesions. Conclusions:Pain during ablation significantly affects the stability of the catheter to tissue.Monitoring real-time CF during PVI may have important implications for improving ablation efficacy,especially in regions with more intense pain.

Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.