Objective To systematically analyze the literature characteristics of Journal of Organ Transplantation since its inception. Methods Using the China National Knowledge Infrastructure (CNKI) academic journal full-text database as the data source, all articles published in the Journal of Organ Transplantation from January 2010 to August 2025 were retrieved. After excluding non-academic papers, a total of 1 568 research papers were included. R language 4.3.0, Bibliometrix package 3.2.1, and Citespace software were used to analyze the number of publications, publishing institutions, authors, keywords and other aspects. Results The number of publications in Journal of Organ Transplantation increased from an average of 82 articles per year in the early years after its inception to 113 articles per year in recent years, a growth of 37.8%. The geographical distribution of publishing institutions covers 32 provinces, cities and autonomous regions nationwide, mainly concentrated in the South China, East China and North China regions, and has now basically covered the central and western regions in recent years. The author collaboration network includes 45 authors distributed across 7 major collaboration clusters, forming a stable multi-level national research system centered on key university-affiliated hospitals. The high-frequency keywords are dominated by "liver transplantation" (425 times) and "kidney transplantation" (396 times). The theme evolution shows a clear three-stage characteristic: initially focusing on clinical technology application, deepening to immune mechanism exploration in the middle stage, and recently (since 2022) focusing on cutting-edge research areas such as xenotransplantation. Conclusions Journal of Organ Transplantation has witnessed the rapid development of China's organ transplantation cause, fully reflecting the research status and trends in China's organ transplantation field, and has provided an important platform for the future development and international cooperation in China's organ transplantation field.

In the context of global warming, protecting outdoor workers from occupational heat exposure has become an important public health concern. This review summarized the principle, applicability, and limitation of three categories of wet bulb globe temperature (WBGT) prediction models: empirical regression models, heat-balance models, and machine-learning models. Drawing on international experience from the United States, Europe, and Japan, this review further examined the technical challenges of applying WBGT-based prediction models to large-scale occupational heat stress early warning systems. In response to gaps in occupational heat stress management in China, WBGT should be considered a core assessment indicator to support a transition from passive response to proactive intervention. A localized implementation pathway is proposed, incorporating mechanism-based model calibration, regional parameter adaptation, and multi-source data fusion. Strengthening collaboration between public health and meteorological departments and developing platform-based flexible intervention strategies for workers in new forms of employment may improve the targeting of occupational heat stress early warning and health protection. Future research should focus on physics-constrained machine learning, refined microenvironmental prediction, and individualized risk assessment to support the development of a digitally enabled occupational heat-health protection framework.

Objective:Based on the autoregressive integrated moving average (ARIMA) model, back propagation neutral network (BPNN), and ARIMA-BPNN model, select the optimal model suitable for predicting the incidence trend of hepatitis C in Taiyuan City according to the characteristics of the data.Methods:The data of reported cases of hepatitis C in Taiyuan from 2008 to 2021 were selected, and the seasonal trend decomposition chart was used to analyze the seasonal characteristics of the monthly incidence rate of hepatitis C in Taiyuan during the period, and the ARIMA model, BPNN model, and ARIMA-BPNN model were established to predict. The performance of the model was measured using four indicators: mean absolute error ( MAE), mean squared error ( MSE), root mean square error ( RMSE), and mean absolute percentage error ( MAPE). Results:A total of 20 025 cases of hepatitis C were reported, and the overall incidence trend was stable. The BPNN model performed well on MSE, MAE, and RMSE indicators, the ARIMA-BPNN model performed well on MAPE indicators, and the ARIMA model performed relatively averagely. Conclusions:The ARIMA-BPNN model is a better model for predicting the trend of hepatitis C in Taiyuan City, with a higher predictive performance than a single model. It has significant prospects in predicting the trend of infectious diseases.

Objective:New HIV infections serve as a crucial indicator for assessing the dynamic changes in the HIV epidemic. This study aims to estimate the number of new HIV infections in Dehong Dai and Jingpo Autonomous Prefecture of Yunnan Province (Dehong), using a back-calculation method that integrates diagnosis delay approaches and Bayesian theory. Additionally, it compares the differences between these two estimation methods.Methods:Data were obtained from the Chinese Information System for Disease Control and Prevention. Based on CD4 + T lymphocytes (CD4) counts depletion model, the first CD4 count prior to antiretroviral therapy of HIV-infected individuals diagnosed in Dehong from 2010 to 2023 was utilized to retroactively determine the infection date of HIV-infected individuals and ascertain the annual number of new HIV infections who had been diagnosed. Subsequently, the diagnosis delay distribution method and Bayesian theory were leveraged to assess the diagnosis probability of newly infected individuals, thereby projecting the number of new HIV infections in the region over the specified period. Results:During 2010-2023, a total of 5 693 individuals aged 15 and above, excluding mother-to-child transmission, were diagnosed with HIV in Dehong. After excluding 364 cases due to missing CD4 count results or abnormal first CD4 counts (≥2 000 cells/μl), 5 329 HIV-infected individuals were included in the final analysis. Through CD4 counts back-calculation from 2010 to 2023, the annual number of new infections diagnosed was 479, 427, 337, 305, 256, 219, 194, 193, 131, 166, 120, 71, 42 and 47. When using the diagnosis delay distribution method and life table analysis, the cumulative diagnosis probability rose from 0.301 within one year to 0.913 within 14 years, leading to a reduction in the number of estimated new infections from 577 in 2010 to 168 in 2023, with a total estimate of 4 412 (95% CI:4 350-4 480). Alternatively, based on Bayesian theory, the diagnosis probability increased from 0.413 within one year to 0.946 within 14 years, leading to a reduction in the number of estimated new infections from 557 in 2010 to 122 in 2023, with a total of 3 814 (95% CI: 3 787-3 837). Conclusions:Both methods yielded consistent results in estimating new HIV infections in Dehong from 2010 to 2023. Given the region's ongoing expansion of HIV testing, the estimates derived from Bayesian theory may more accurately reflect the actual situation. These findings provide a reference basis for formulating and optimizing HIV/AIDS prevention and control strategies in Dehong, facilitating progress toward the goal of eliminating AIDS by 2030 in the region.

A 42-year-old male patient developed mild allergic symptoms after the use of cisatracurium besylate in laparoscopic left renal tumor resection,which was relieved by symptomatic treatment.When the drug was added again intraoperatively,the patient's blood pressure decreased sharply from 120/71 mmHg to 50/30 mmHg,and the airway resistance increased from 16 cmH2O to 38 cmH2O,and the patient developed typical signs of anaphylactic shock.After immediate intravenous injection of epinephrine,calcium chloride and other drugs,the patient's blood pressure rose to 95/57 mmHg,airway resistance decreased to 20 cmH2O,and vital signs tended to be stable.The Naranjo's Assessment Scale was used to evaluate and analyze the correlation of suspected drugs.The score was 9 points,indicating that the association between anaphylactic shock and cisatracurium besylate in this patient was judged to be"definitely related".This article suggests that cisatracurium besylate carries an allergic risk and should be used with caution,and the monitoring of vital signs and allergic reactions should be strengthened for early identification and timely treatment to ensure the safety of patients during the perioperative period.

This study aims to innovate a homogeneous outpatient service management system across multiple hospital campuses to enhance service quality.Based on the practical experience of a tertiary general hospital in Guangdong Province and in accordance with the"Interim Regulations on Outpatient Quality Management in Healthcare Institutions,"we constructed a"6+1"homogeneous outpatient service management system.This system includes:① a multi-stakeholder co-governance outpa-tient management system,②a vertical and cross-hierarchical management network,③ a democratic-centralized clinical coordina-tion strategy,④ a guidance-encouragement performance evaluation standard,⑤a collaborative dynamic supervision mechanism,⑥a spiral retrospective evaluation and improvement method,and ⑦ an integrated outpatient diagnosis and treatment system.Af-ter over two years of implementation,the hospital's outpatient volume has grown by an average of over 15％annually,patient waiting time after appointment has been reduced to 20 minutes,and patient satisfaction in the tertiary public hospital performance evaluation achieved full marks.The electronic medical record system functionality reached Level 6,significantly improving healthcare service efficiency and quality while enhancing homogeneous management across campuses.

OBJECTIVE To analyze the ethanol extracts,total phenols,total flavonoids contents and HPLC fingerprints of typi-cal propolis samples from 6 foreign countries and 5 domestic regions,optimize the extraction process and evaluate the antioxidant activi-ty,so as to provide data support for improving the quality control system of propolis.METHODS The optimization of the propolis ex-traction process utilized flavonoid content as an indicator.Three flavonoid detection methods-namely,the aluminum trichloride meth-od,aluminum nitrate method,and polyamide method-were compared.The content of ethanol extract,total phenol content,and the scavenging ability of DPPH free radicals for each sample were determined.Further analysis was conducted using HPLC fingerprint pro-filing.RESULTS The propolis extract with the highest flavonoid content was obtained using 80%ethanol as the extraction solvent,operating at 50℃,with a stirring time of 3 h,ultrasonic power of 180 W,and ultrasonic time of 15 min.The aluminum trichloride method was proved to be the most effective for determining total flavonoids in propolis.While the ethanol extract,total flavonoids,and total phenols of propolis from Xinjiang,China were relatively low,their antioxidant activity exhibited superiority.HPLC analysis re-vealed,Brazilian red propolis lacked of chrysin,galangin,caffeic acid phenethyl ester and Brazilian green propolis lacked ferulic acid,apigenin,p-coumaric acid,chrysin,and pinocembrin.In contrast,the content of these four compounds in other samples varied,with the antioxidant capacity of the extracts not precisely corresponding to the compound content.CONCLUSION Propolis exhibits a complex chemical composition with significant variations among varieties.Key quality control indexes must be comprehensively consid-ered,encompassing physicochemical characteristics and biological activity.Establishing a multi-angle assessment system with a mate-rial basis-functional linkage is essential.This approach facilitates the realization of high quality and cost-effectiveness,thereby promo-ting the healthy development of the industry.

Purpose To explore the feasibility and validity of radiomics combined with blind/referenceless image spatial quality evaluator(Brisque)for automated assessment of arterial-phase image quality in hepatic gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid(Gd-EOB-DTPA)dynamic enhanced MRI examinations.Materials and Methods A total of 326 arterial phase images from January 2020 to March 2024 in the First Affiliated Hospital of Henan University of Chinese Medicine for liver Gd-EOB-DTPA dynamic enhancement MRI examination were retrospectively collected.A 4-level(1-4 points)Likert scale was used for subjective image quality scoring,and then binary classification was used to divide the images into clinically acceptable group(166 images with a score of 2-4)and clinically unacceptable group(160 images with a score of 1).All images were randomly divided into a training set(227 images)and a test set(99 images)in a 7∶3 ratio.Brisque images were created based on arterial-phase images,and subsequently Brisque image features,image histologic features of the original arterial-phase images and combined features of the two were extracted.The extracted data were reduced in dimension and the optimal features of radiomics were selected.Based on the Logistic regression algorithm,radiomics models,Brisque models and combined models of the two were constructed.The receiver operating characteristic curve was drawn for each subject,and the area under the curve(AUC),threshold,sensitivity,specificity,accuracy,negative predictive value and positive predictive value were calculated to analyze the diagnostic performance of each model,and the net benefit of the models was evaluated by decision curve analysis.Results The AUC values of the radiomics model,Brisque model and combined model in the training set were 0.942(95%CI 0.914-0.969),0.722(95%CI 0.655-0.788)and 0.967(95%CI 0.947-0.987),respectively.In the test set,the AUC values were 0.904(95%CI 0.848-0.960),0.684(95%CI 0.579-0.789)and 0.920(95%CI 0.866-0.972),respectively.There was statistically significant difference between two of the three models in the training set(Z=6.493,3.397,7.427;all P<0.05);in the test set,there was statistically significant difference between the combined model and the Brisque model,and between the radiomics model and the Brisque model(Z=4.137,3.740,both P<0.05),but no statistically significant difference between the combined model and the radiomics model(P>0.05).The diagnostic performance was higher in the combined model in both the training set and the test set.The decision curve analysis curve suggested that the net benefit of the combined model was greater than that of the other two models.Conclusion Radiomics combined with Brisque can be applied in the assessment of the quality of arterial-phase images in Gd-EOB-DTPA dynamic-enhanced MRI examinations of the liver to automatically detect clinically unacceptable arterial-phase images of the liver with high diagnostic efficacy,which contributes to the improvement of the quality of the images at the time of acquisition,leading to a reduction in the number of duplicate scans and an increase in the accuracy of the diagnosis.

Objective:To investigate the status of work-related musculoskeletal disorders (WMSDs) in male large-scale mechanical maintenance workers, and to explore the relationship between WMSDs and thyroid indexes.Methods:From April to July 2022, male front-line maintenance workers in a large-scale mechanical maintenance enterprise who participated in occupational health examination were selected as the study subjects ( n=2036). The occurrence of WMSDs was investigated by questionnaire. The levels of triiodothyronine (T3), thyroxine (T4) and thyroid stimulating hormone (TSH) in serum were detected. χ2 test, t-test and Mann-Whitney U test were used to detect thyroid diseases and hormone levels of workers in WMSDs group and non-WMSDs group, and binary logistic regression model was used to analyze the relationship between thyroid disease, T3, T4, TSH and WMSDs. Results:The incidence of WMSDs among the male large-scale mechanical maintenance workers was 73.18% (1490/2036). The rate of thyroid disease in WMSDs group was higher than that in non-WMSDs group [8.26% (123/1490) vs. 4.95% (27/546), χ 2=6.42, P=0.011], and the TSH value was lower than that in non-WMSDs group[1.66 (1.23, 2.26) μIU/ml vs. 1.75 (1.30, 2.42) μIU/ml, Z=-2.40, P=0.019]. There were no significant differences in the levels of T3, T4 and abnormal levels of 3 hormones between the two groups ( P>0.05). After accounting for individual and occupational factors, workers with thyroid disease had an increased risk of WMSDs ( OR=1.656, 95% CI: 1.072-2.559, P=0.023), while workers with increased TSH had a decreased risk of WMSDs ( OR=0.897, 95% CI: 0.823-0.977, P=0.013) . Conclusion:The incidence of WMSDs in male workers of large-scale mechanical maintenance is high, and its incidence may be related to thyroid index. Thyroid disease may be a risk factor for WMSDs, and increased TSH may be a protective factor for WMSDs.

Objective To explore the correlation between serum hypoxia-inducible factor-1α(HIF-1α)levels and cerebral microbleeds(CMBs)and cognitive impairment and to assess the predictive value of HIF-1α for CSVD-related cognitive impairment.Methods A total of 104 patients with CSVD who attended the Department of Neurology,First Affiliated Hospital of Xinxiang Medical University from June 2022 to November 2023 were enrolled.All enrolled patients were subjected to basic statistics,cranial nuclear magnetic resonance examination,cognitive function assessment,and serum HIF-1α test,and the number and location of CMBs were counted.Based on the above data the enrolled patients were grouped.The correlation between HIF-1α and cognitive function and CMBs was studied the influencing factors of CMBs and cognitive impairment were analyzed,and the predictive value of HIF-1α on the occurrence of cognitive impairment was evaluated.Results There were statistically significant differences in HIF-1α levels and cognitive function among different CMBs groups.Serum HIF-1α levels were significantly negatively correlated with overall cognitive function,visuospatial and executive function,attention,and delayed recall,and serum HIF-1α was positively correlated with the number of CMBs.HIF-1α may be a risk factor for CMBs and cognitive impairment associated with CSVD,and serum HIF-1α has potential in predict the cognitive impairment caused by CSVD.Conclusion Serum levels of HIF-1α were associated with the number of CMB and CSVD-related cognitive impairment,and serum levels of HIF-1α may have a predictive value for CSVD-related cognitive impairment.