Objective To analyze the evaluation and influencing factors of healthy enterprises in Hubei Province from 2020 to 2023. Methods A total of 351 enterprises participated in the healthy enterprise evaluation in Hubei province were selected as the study subjects using the judgmental sampling method. The differences in evaluation results including scales, industry sector, and ownership type of the enterprises were compared. Results The median and the 25th and 75th percentiles [M (P₂₅, P₇₅)] of the evaluation score among the 351 enterprises was 869 (838, 941) points. The evaluation pass rate was 82.3%. The M(P₂₅, P₇₅) of scores for the management system, health environment, health management and services, health culture, and health outcome review were 183 (174, 192), 190 (181, 198), 340 (321, 376), 133 (122, 142), and 26 (24, 28) points, with the score percentage of 91.5%, 86.4%, 85.0%, 88.7%, and 86.7%, respectively. The deduction rate exceeded 50.0% in six items, which predominantly concentrated within the primary indicator of the health management and services, among the tertiary indicators. The result of multiple linear regression analysis revealed that smaller enterprises had significantly lower evaluation scores (P<0.05), and domestically funded enterprises scored significantly lower than those with investment from Hong Kong, Macao and Taiwan, or foreign investments (all P<0.05). Conclusion Health management and services represent a weak area in healthy enterprise development in Hubei Province. It was suggested to improve policy incentives and support for medium-, small- and micro-sized enterprises, and domestically funded enterprises, to enhance healthy enterprise development levels.

Objectives:Using data from the heart transplant patient dataset of our center,we aimed to develop a preoperative risk scoring model specifically suitable for the Chinese population undergoing heart transplantation.This model was established to predict the likelihood of graft failure within the first year post-surgery and classify recipients according to their risk level.Methods:A retrospective study was conducted at a single center on 1 210 consecutive heart transplant recipients between June 2004 and December 2022.Risk factor screening was performed using univariate and multivariate logistic regression analyses.Variable selection was carried out through a stepwise backward procedure based on the Akaike Information Criterion(AIC).The regression coefficients obtained from the final model were employed as weighting factors in the multifactor analysis.The study utilized the area under the receiver operating characteristic(ROC)area under curve(AUC)as a metric to evaluate the performance of the model.Patients were stratified into low,medium,and high-risk groups based on the distribution of the calculated scores.Survival analysis was conducted on the various risk groups using the Kaplan-Meier method,with statistical comparisons performed using the log-rank test.A significance level of P<0.05 was deemed statistically significant.Results:A risk scoring model,denoted as the heart transplant(HTx)score,was developed,comprising 11 variables and yielding a total score of 20.6 points.In comparison to the low-risk group,the OR for 1-year graft failure in the medium-risk group was 2.0(95%CI:1.1-3.6,P=0.02),while the high-risk group had an OR of 9.8(95%CI:5.4-17.7,P<0.01).The risk scoring model exhibited strong discriminative ability with an AUC of 0.712(95%CI:0.646-0.778)and an internally validated bias-corrected AUC of 0.713.The results of the Hosmer-Lemeshow goodness-of-fit test indicated that the predictive model demonstrated a strong calibration ability(Hosmer-Lemeshow χ2=2.92,P=0.71).Within the cohort,the AUC values for the IMPACT score,UNOS score,RSS score,Mayo score,BO score,and TRS score models were 0.645,0.651,0.632,0.589,0.610,and 0.604,respectively.These findings suggest that the HTx scoring model exhibited superior predictive performance compared to the aforementioned models in forecasting outcomes within our cohort.The Kaplan-Meier survival analysis revealed statistically significant differences in long-term survival rates between the three risk groups,a noticeable decrease in long-term survival rates were observed with increasing levels of HTx risk stratification(P<0.05).Conclusions:Present results indicate a significant association between the developed HTx risk scores and graft failure within the initial year post-surgery,present model effectively categorizes the heart transplant recipients into low,medium,and high-risk groups and is valuable for risk stratification.

Objectives:To assess the situation of retained cardiac implantable electronic device(CIED)leads after cardiac transplantation,the associated factors,and their impact on long-term prognosis.Methods:A retrospective analysis was conducted on 1 096 patients who underwent cardiac transplantation at Fuwai Hospital of the Chinese Academy of Medical Sciences from January 1,2005 to January 1,2022.Among them,204 patients(18.6%)received CIED therapy before cardiac transplantation.Two physicians independently reviewed the pre-and post-transplant chest X-rays to determine the presence of retained CIED leads.Logistic multivariate regression analysis was used to assess factors associated with retained CIED leads,and Kaplan-Meier survival curves were plotted to analyze the impact of retained CIED leads on long-term prognosis.Results:Among the 204 patients who received CIED therapy before cardiac transplantation,the highest proportion were those treated with implantable cardioverter defibrillator(ICD)and cardiac resynchronization therapy-defibrillator(CRT-D),accounting for 47.5%(97/204)and 40.7%(83/204),respectively.The mean duration from CIED implantation to cardiac transplantation was(45.1±40.0)months,and 38 patients(18.6%)had retained CIED leads after cardiac transplantation.The results of the logistic multivariate regression analysis showed that the duration from CIED implantation to cardiac transplantation was the only factor associated with retained CIED leads after cardiac transplantation(OR=1.020,95%CI:1.011-1.030,P=0.000).Cumulative all-cause survival rates among patients without CIED implantation(n=892),those without retained CIED leads(n=166),and those with retained CIED leads(n=38)were 88.5%,93.3%and 84.2%,respectively.Kaplan-Meier survival curve analysis showed no significant difference in cumulative all-cause survival among the three groups(log-rank P=0.643).Conclusions:In patients who received CIED implantation before cardiac transplantation,18.6%had retained leads after surgery.The duration from CIED implantation to cardiac transplantation is the only factor associated with lead retained after cardiac transplantation,but retained leads does not affect the outcome post heart transplantation.

Objectives:When heparin-induced thrombocytopenia(HIT)is diagnosed before heart transplantation,recommendation varies according to small sample observations from other countries.In China,recent HIT is considered as a relative contradiction for heart transplantation and clinical study results is not yet available.Methods:A total of 325 patients who received heart transplantation in Fuwai Hospital from January 1,2022 to July 31,2024 were retrospectively analyzed,124 of whom received instrumental circulation and heparin before transplantation,and 15 of whom had suspected HIT before surgery.Diagnostic strategy was based on clinical investigation,antibody detection and expert opinion.Results:All 15 patients used intra-aortic balloon pump(IABP)preoperatively,6 were diagnosed with HIT,contributing 4.8%of those who used mechanical circulation support before heart transplantation.Three patients were tested positive for HIT-Ab just before surgery.Three different anticoagulation strategies:bivalirudin,heparin,and combined bivalirudin and heparin was used in each of the 3 patients,respectively.Their clinical features varied significantly.The first patient experienced challenging bleeding issue and cervical vein embolization.The second patient experienced low-limb embolization and the third patient experienced spleen artery embolization.Thrombocyte count returned to normal range at day 8,6 and 10 respectively post operation.Conclusions:HIT is not rare in patients using IABP and other mechanical circulation support devices before heart transplantation.Diagnosis and treatment of HIT is challenging for patients awaiting heart transplantation.

Objectives:To assess the situation of retained cardiac implantable electronic device(CIED)leads after cardiac transplantation,the associated factors,and their impact on long-term prognosis.Methods:A retrospective analysis was conducted on 1 096 patients who underwent cardiac transplantation at Fuwai Hospital of the Chinese Academy of Medical Sciences from January 1,2005 to January 1,2022.Among them,204 patients(18.6%)received CIED therapy before cardiac transplantation.Two physicians independently reviewed the pre-and post-transplant chest X-rays to determine the presence of retained CIED leads.Logistic multivariate regression analysis was used to assess factors associated with retained CIED leads,and Kaplan-Meier survival curves were plotted to analyze the impact of retained CIED leads on long-term prognosis.Results:Among the 204 patients who received CIED therapy before cardiac transplantation,the highest proportion were those treated with implantable cardioverter defibrillator(ICD)and cardiac resynchronization therapy-defibrillator(CRT-D),accounting for 47.5%(97/204)and 40.7%(83/204),respectively.The mean duration from CIED implantation to cardiac transplantation was(45.1±40.0)months,and 38 patients(18.6%)had retained CIED leads after cardiac transplantation.The results of the logistic multivariate regression analysis showed that the duration from CIED implantation to cardiac transplantation was the only factor associated with retained CIED leads after cardiac transplantation(OR=1.020,95%CI:1.011-1.030,P=0.000).Cumulative all-cause survival rates among patients without CIED implantation(n=892),those without retained CIED leads(n=166),and those with retained CIED leads(n=38)were 88.5%,93.3%and 84.2%,respectively.Kaplan-Meier survival curve analysis showed no significant difference in cumulative all-cause survival among the three groups(log-rank P=0.643).Conclusions:In patients who received CIED implantation before cardiac transplantation,18.6%had retained leads after surgery.The duration from CIED implantation to cardiac transplantation is the only factor associated with lead retained after cardiac transplantation,but retained leads does not affect the outcome post heart transplantation.

Objectives:When heparin-induced thrombocytopenia(HIT)is diagnosed before heart transplantation,recommendation varies according to small sample observations from other countries.In China,recent HIT is considered as a relative contradiction for heart transplantation and clinical study results is not yet available.Methods:A total of 325 patients who received heart transplantation in Fuwai Hospital from January 1,2022 to July 31,2024 were retrospectively analyzed,124 of whom received instrumental circulation and heparin before transplantation,and 15 of whom had suspected HIT before surgery.Diagnostic strategy was based on clinical investigation,antibody detection and expert opinion.Results:All 15 patients used intra-aortic balloon pump(IABP)preoperatively,6 were diagnosed with HIT,contributing 4.8%of those who used mechanical circulation support before heart transplantation.Three patients were tested positive for HIT-Ab just before surgery.Three different anticoagulation strategies:bivalirudin,heparin,and combined bivalirudin and heparin was used in each of the 3 patients,respectively.Their clinical features varied significantly.The first patient experienced challenging bleeding issue and cervical vein embolization.The second patient experienced low-limb embolization and the third patient experienced spleen artery embolization.Thrombocyte count returned to normal range at day 8,6 and 10 respectively post operation.Conclusions:HIT is not rare in patients using IABP and other mechanical circulation support devices before heart transplantation.Diagnosis and treatment of HIT is challenging for patients awaiting heart transplantation.

Electromagnetic fields can regulate the fundamental biological processes involved in bone remodeling. As a non-invasive physical therapy, electromagnetic fields with specific parameters have demonstrated therapeutic effects on bone remodeling diseases, such as fractures and osteoporosis. Electromagnetic fields can be generated by the movement of charged particles or induced by varying currents. Based on whether the strength and direction of the electric field change over time, electromagnetic fields can be classified into static and time-varying fields. The treatment of bone remodeling diseases with static magnetic fields primarily focuses on fractures, often using magnetic splints to immobilize the fracture site while studying the effects of static magnetic fields on bone healing. However, there has been relatively little research on the prevention and treatment of osteoporosis using static magnetic fields. Pulsed electromagnetic fields, a type of time-varying field, have been widely used in clinical studies for treating fractures, osteoporosis, and non-union. However, current clinical applications are limited to low-frequency, and research on the relationship between frequency and biological effects remains insufficient. We believe that different types of electromagnetic fields acting on bone can induce various “secondary physical quantities”, such as magnetism, force, electricity, acoustics, and thermal energy, which can stimulate bone cells either individually or simultaneously. Bone cells possess specific electromagnetic properties, and in a static magnetic field, the presence of a magnetic field gradient can exert a certain magnetism on the bone tissue, leading to observable effects. In a time-varying magnetic field, the charged particles within the bone experience varying Lorentz forces, causing vibrations and generating acoustic effects. Additionally, as the frequency of the time-varying field increases, induced currents or potentials can be generated within the bone, leading to electrical effects. When the frequency and power exceed a certain threshold, electromagnetic energy can be converted into thermal energy, producing thermal effects. In summary, external electromagnetic fields with different characteristics can generate multiple physical quantities within biological tissues, such as magnetic, electric, mechanical, acoustic, and thermal effects. These physical quantities may also interact and couple with each other, stimulating the biological tissues in a combined or composite manner, thereby producing biological effects. This understanding is key to elucidating the electromagnetic mechanisms of how electromagnetic fields influence biological tissues. In the study of electromagnetic fields for bone remodeling diseases, attention should be paid to the biological effects of bone remodeling under different electromagnetic wave characteristics. This includes exploring innovative electromagnetic source technologies applicable to bone remodeling, identifying safe and effective electromagnetic field parameters, and combining basic research with technological invention to develop scientifically grounded, advanced key technologies for innovative electromagnetic treatment devices targeting bone remodeling diseases. In conclusion, electromagnetic fields and multiple physical factors have the potential to prevent and treat bone remodeling diseases, and have significant application prospects.

Digital technologies have become an integral part of complete denture restoration. With advancement in computer-aided design and computer-aided manufacturing (CAD/CAM), tools such as intraoral scanning, facial scanning, 3D printing, and numerical control machining are reshaping the workflow of complete denture restoration. Unlike conventional methods that rely heavily on clinical experience and manual techniques, digital technologies offer greater precision, predictability, and efficacy. They also streamline the process by reducing the number of patient visits and improving overall comfort. Despite these improvements, the clinical application of digital complete denture restoration still faces challenges that require further standardization. The major issues include appropriate case selection, establishing consistent digital workflows, and evaluating long-term outcomes. To address these challenges and provide clinical guidance for practitioners, this expert consensus outlines the principles, advantages, and limitations of digital complete denture technology. The aim of this review was to offer practical recommendations on indications, clinical procedures and precautions, evaluation metrics, and outcome assessment to support digital restoration of complete denture in clinical practice.
Humans ; Denture, Complete ; Computer-Aided Design ; Denture Design/methods* ; Consensus ; Printing, Three-Dimensional

This study explored the drying kinetics of Salviae Miltiorrhizae Radix et Rhizoma(SM), established the suitable models simulating the drying kinetics, and then analyzed the dynamic changes of active components during the drying processes with different methods, aiming to provide a basis for the establishment of suitable drying methods and the quality control of SM. The drying kinetics were studied based on the drying curve, drying rate, moisture effective diffusion coefficient, and drying activation energy, and the appropriate drying kinetics model of SM was established. The drying performance of different methods, such as hot air drying, infrared drying, and microwave drying of SM was evaluated, and the changes in the content of 10 salvianolic acids and 6 tanshinones during drying were analyzed by UPLC-TQ-MS. The Technique for Order Preference by Similarity to an Ideal Solution(TOPSIS) was employed to evaluate the quality of SM dried with different methods. The results showed that the drying rate and moisture effective diffusion coefficient of SM increased with the rise in drying temperature, and the maximum drying rates of different methods were in the order of microwave drying > infrared drying > hot air drying, slice > whole root. The drying rate decreased with the rise in temperature and the extension of drying time. The activation energy of hot air drying was higher than that of infrared drying in SM. The most suitable model for simulating the drying process of SM was the Page model. The TOPSIS results suggested infrared drying at 50 ℃ was the optimal drying method for SM. During the drying process, the content of salvianolic acids increased in different degrees with the loss of moisture, among which salvianolic acid B showed the largest increase of 44 times compared with that in the fresh medicinal material. Tanshinones also existed in the fresh herb of SM, and the content of tanshinone Ⅱ_A increased by 3 times after drying. The results provided a basis for the establishment of suitable drying methods and the quality control of SM.
Salvia miltiorrhiza/chemistry* ; Desiccation/methods* ; Drugs, Chinese Herbal/chemistry* ; Rhizome/chemistry* ; Kinetics ; Quality Control ; Abietanes

With the rise of data-intensive research, data literacy has become a critical capability for improving scientific data quality and achieving artificial intelligence (AI) readiness. In the biomedical domain, data are characterized by high complexity and privacy sensitivity, calling for robust and systematic data management skills. This paper reviews current trends in scientific data governance and the evolving policy landscape, highlighting persistent challenges such as inconsistent standards, semantic misalignment, and limited awareness of compliance. These issues are largely rooted in the lack of structured training and practical support for researchers. In response, this study builds on existing data literacy frameworks and integrates the specific demands of biomedical research to propose a comprehensive, lifecycle-oriented data literacy competency model with an emphasis on ethics and regulatory awareness. Furthermore, it outlines a tiered training strategy tailored to different research stages-undergraduate, graduate, and professional, offering theoretical foundations and practical pathways for universities and research institutions to advance data literacy education.
Artificial Intelligence ; Humans ; Biomedical Research