Objective: To investigate the current status of benefit finding among young and middle-aged patients with type 2 diabetes mellitus (T2DM) and analyze its influencing factors, so as to provide a reference for improving the level of benefit finding in this population. Methods: From November 2022 to May 2023, young and middle-aged patients with T2DM aged 18-59 years hospitalized in the endocrinology departments of 2 tertiary hospitals in Hengyang City, Hunan Province were selected as survey subjects by a convenience sampling method. Basic demographic information was collected using a general questionnaire survey. Benefit finding, resourcefulness, and stigma were evaluated using the Benefit Finding Scale, the Chinese Version of the Resourcefulness Scale, and the Type 2 Diabetes Stigma Assessment Scale, respectively. A multiple linear regression model was used to analyze the influencing factors of benefit finding among young and middle-aged patients with T2DM. Results: A total of 305 young and middle-aged patients with T2DM were investigated, including 222 males (72.79%) and 83 females (27.21%). There were 231 cases aged 45-59 years, accounting for 75.74%. The scores for benefit finding, resourcefulness, and stigma were (42.86±6.06), (75.12±11.30), and (41.20±10.10), respectively. Multiple linear regression analysis showed that young and middle-aged patients with T2DM who were male (β′=0.088), aged 18-<45 years (β′=0.083), absence of diabetes complications (β′=0.124), and had higher resourcefulness scores (β′=0.679) had higher levels of benefit finding, while patients with higher stigma scores (β′=-0.097) had lower levels of benefit finding. Conclusion The level of benefit finding among young and middle-aged patients with T2DM was moderate, and was related to gender, age, diabetes complications, resourcefulness, and stigma.

The organoid co-culture model, as a novel tool for recreating a three-dimensional microenvironment to study cell-cell interactions, has demonstrated significant application potential in biomedical research in recent years. By simulating the in vivo tissue microenvironment, this model provides a more precise experimental platform for investigating complex cellular interactions, particularly in areas such as tumor immune evasion mechanisms, drug sensitivity testing, and the pathological characterization of neurodegenerative diseases, where it has demonstrated significant value. However, the organoid co-culture model still faces several challenges in terms of standardized procedures, large-scale cultivation, ethical guidelines, and future development. In particular, in the field of laboratory animal science, how to effectively combine organoids with traditional animal models, and how to select the most appropriate model for different research needs while exploring its potential for replacement, remain pressing issues. In the context of ethical approval and the replacement of animal experiments, the organoid co-culture model offers an experimental approach that better aligns with the "3R" principle (Replacement, Reduction, Refinement), potentially becoming an important tool for replacing traditional animal models. To this end, this paper reviews the latest advances and key challenges in this field, providing a detailed description of the construction methods for organoid co-culture models and discussing their applications in disease mechanism research and drug screening. The paper also systematically compares the organoid co-culture models with traditional animal models, exploring the criteria for selecting the appropriate model for specific applications. Furthermore, this paper discusses the potential value of organoid co-culture models as alternatives to animal experiments and anticipates future development trends of this technology. Through these discussions, the paper aims to promote the innovation and development of organoid co-culture technology and provide new perspectives and scientific evidence for future research.

The organoid co-culture model, as a novel tool for recreating a three-dimensional microenvironment to study cell-cell interactions, has demonstrated significant application potential in biomedical research in recent years. By simulating the in vivo tissue microenvironment, this model provides a more precise experimental platform for investigating complex cellular interactions, particularly in areas such as tumor immune evasion mechanisms, drug sensitivity testing, and the pathological characterization of neurodegenerative diseases, where it has demonstrated significant value. However, the organoid co-culture model still faces several challenges in terms of standardized procedures, large-scale cultivation, ethical guidelines, and future development. In particular, in the field of laboratory animal science, how to effectively combine organoids with traditional animal models, and how to select the most appropriate model for different research needs while exploring its potential for replacement, remain pressing issues. In the context of ethical approval and the replacement of animal experiments, the organoid co-culture model offers an experimental approach that better aligns with the "3R" principle (Replacement, Reduction, Refinement), potentially becoming an important tool for replacing traditional animal models. To this end, this paper reviews the latest advances and key challenges in this field, providing a detailed description of the construction methods for organoid co-culture models and discussing their applications in disease mechanism research and drug screening. The paper also systematically compares the organoid co-culture models with traditional animal models, exploring the criteria for selecting the appropriate model for specific applications. Furthermore, this paper discusses the potential value of organoid co-culture models as alternatives to animal experiments and anticipates future development trends of this technology. Through these discussions, the paper aims to promote the innovation and development of organoid co-culture technology and provide new perspectives and scientific evidence for future research.

Objective　To analyze and study the status quo and deficiencies in the construction of talent teams at all levels of CDCs in Hainan Province and put forward countermeasures to provide a reference basis for the high-quality development of talent team construction in all levels of CDCs in Hainan Province. Methods Using field surveys and data retrieval, spatial analysis was employed to compare the overall differences in human resource status of the provincial-level CDC and CDCs in five regional areas (East, West, South, North, and Central Hainan). The coordination between human resource allocation and development strategies was analyzed. A descriptive analysis mainly utilized CDC survey questionnaires and other research forms to explore the health human resources of the province's CDCs. Results The professional and technical personnel in the provincial CDCs comprise 1 431 individuals, accounting for 82.3% (1 431/1 739) of the total number of actual employees, which falls short of the Central Institutional Reform Commission's (CIRC) mandate that technical professionals comprise at least 85% of the total workforce (CIRC Document [2014] No. 2). Among Hainan's CDC personnel, 115 individuals are recognized as high-level talents within the Hainan Free Trade Port framework. These include one Class C talent, 22 Class D talents, and 93 Class E talents. Class A, B, and C-level talents are deficient. The majority of staff at both the provincial and regional CDCs hold bachelor's degrees. There is a significant proportion of staff with associate degrees or lower qualifications, coupled with a severe shortage of highly educated personnel. Postgraduates with master’s degrees or above account for 27.8% (65/233) in the provincial CDC, indicating low educational credentials among personnel in Hainan's CDCs. The central region, characterized by slower economic and social development, faces greater challenges in attracting and retaining high-level talent. There is a scarcity of public health professionals with interdisciplinary expertise. Some public health staff lack clinical knowledge, experience, and skills in disease treatment. Furthermore, there is a need to strengthen on-site emergency response capabilities for public health emergencies. The structural ratio of senior, intermediate, and junior professional and technical positions in the provincial CDC is 40%∶45%∶15%. The position settings are limited to ranking levels without distinction by professional category, leading to a bottleneck-type competition like crossing the "one log bridge" for technical position promotions. Conclusion　Hainan Province faces significant challenges in developing its public health workforce, both in technical expertise and management capacity. Especially under the context of the closure operation of the Hainan Free Trade Port, it is necessary to continuously strengthen top-level talent design to cultivate a favorable policy, system, and cultural environment, thereby promoting the sustained and healthy development of the province's public health career.

INTRODUCTION: Impostor phenomenon (IP) is a set of feelings encountered by individuals of being incompetent, despite experiencing successes. IP affects not only individuals on a personal level, but also organisations where the leadership diversity decreases due to employees' self-doubt. We aim to investigate the prevalence of IP and burnout among employees in the National University Health System (NUHS). METHODS: All permanently employed full-time NUHS employees aged 21 years and above were invited to participate in this self-administered cross-sectional study between April 2021 and August 2021. Mass emails with the embedded study link were sent every 2-3 weeks to the employees' corporate email accounts. RESULTS: In our study, 61% of our study respondents reported having IP experiences and 97% reported having burnout. The associations of IP with ethnicity and age group were significant. Post hoc tests, however, showed that the association was statistically significant only in the 21-29 years age group. CONCLUSION We found that there was no statistical significance between gender and the Maslach Burnout Inventory (MBI) profile types. However, we found that IP was significantly associated with individuals in the 21-29 years age group. This could be because younger individuals who just entered workforce may feel uncomfortable with their newfound independence and responsibility. Workplace support, such as workshops, and emotional support were found to be useful in helping individuals cope with IP. Future studies could be done post coronavirus disease 2019 (COVID-19) pandemic among healthcare workers to have a larger sample size to determine true IP and burnout prevalence.
Humans ; Singapore/epidemiology* ; Adult ; Male ; Female ; Burnout, Professional/psychology* ; Cross-Sectional Studies ; Prevalence ; Middle Aged ; Young Adult ; Surveys and Questionnaires ; COVID-19/epidemiology* ; Workplace/psychology*

This study was aimed at understanding the relationships among the drug resistance and genome characteristics of group A Streptococcus in Jiangsu Province.A total of 149 group A Streptococcus strains were collected from hospitals between 2016 and 2023.Thirteen antimicrobial minimal inhibitory concentrations were detected with the micro-dilution broth method.The GAS strains were typed with emm genotyping analysis and whole genome sequencing,to determine the carriage rates of drug resistance genes and the evolutionary relationships among strains.The resistance rates of 149 GAS strains to erythromy-cin,tetracycline,and clindamycin exceeded 90％,whereas the strains showed sensitivity to 8 different antibiotics,including penicillin.Notably,the resistance rates to erythromycin,tetracycline,and clindamycin consistently increased over time.All strains were classified into 9 emm types,among which emm12 accounted for the highest proportion(77/149;51.68％).Signifi-cant statistical differences were observed among emm types,in terms of the drug resistance rate,number of resistant species,and prevalence of drug resistance genes.Furthermore,SNP evolutionary tree analysis revealed 3 distinct clusters within the GAS strains:emm12,emm1,and other emm types.emm 12 and emm1 were the dominant GAS strains in Jiangsu Province.Most isolates were resistant to erythromycin,tetracycline,and clindamycin.Differences in phenotypes and genomic characteris-tics were observed among emm types.

Artificial intelligence(AI)has demonstrated great potential in the diagnosis and treatment of pancreatic cancer.It plays an important role in medical imaging analysis,pathological slide recognition,drug efficacy and prognosis prediction,as well as new drug development by leveraging deep learning algorithms.Despite challenges such as data acquisition and model interpretability,advancements in technology and data sharing are expected to further enhance its role in early screening,personalized treatment,and innovative drug discovery for pancreatic cancer,ultimately improving patient outcomes.

Objective To explore the predictive value of serum levels of CXC chemokine ligand 4(CXCL4),CXC receptor 3 chemokine(CXCR3)for postoperative cerebral vasospasm(CVS)in patients with ruptured intracranial aneurysms.Methods The clinical data of 106 patients with intracranial aneurysms rupture who under went craniotomy and clipping surgery at the Central Hospital of Enshi Tujia and Miao Autonomous Prefecture from October 2020 to December 2022 were collected.The incidence of CVS was observed.Serum CXCL4 and CXCR3 levels were compared at 1,3,7 days after surgery between patients without CVS and patients with CVS.Spearman correlation coefficient was used to analyze the relationship between serum CXCL4,CXCR3 levels and CVS degree.ROC curve was used to analyze the value of serum CXCL4 and CXCR3 levels in predicting postoperative CVS.Results Among 106 patients with ruptured intracranial aneurysms,a total of 38 cases(35.85%)developed CVS after surgery,and 68 cases(64.15%)did not develop CVS.There was no statistically obvious difference in preoperative serum levels of CXCL4 and CXCR3 between the CVS group and the non CVS group(t=0.104,0.141,all P>0.05).The serum levels of CXCL4 and CXCR3 in the non CVS group were lower than those before surgery 1,3,and 7 day after surgery,and the differences were statistically significant(q=14.867,17.525,24.384;16.274,20.251,34.237,all P<0.05).Compated with preoperative levels,the levels of serum CXCL4 and CXCR3 in the CVS group decreased on postoperative 1 and 7 days,and the differences were statistically significant(q=9.486,4.858;10.760,9.104,all P<0.05).Compared with the mild CVS group,the serum levels of CXCL4 and CXCR3 in the moderate and severe CVS groups were obviously increased(q=2.982,5.992;2.961,3.465),and the serum levels of CXCL4 and CXCR3 in the severe CVS group were higher than those in the moderate CVS group(q=3.564,4.036),and the differences were statistically significant(all P<0.05),respectively.Spearman results showed that serum levels of CXCL4 and CXCR3 were positively correlated with the severity of CVS(r=0.491,0.483,all P<0.05).The ROC curve results showed that the AUC of CXCL4 and CXCR3 combined in predicting postoperative CVS in patients with intracranial ruptured aneurysms was higher than that of CXCL4,CXCR3 alone,and the differences were statistically significant(Z=2.937,2.750,all P<0.05).Conclusion The serum levels of CXCL4 and CXCR3 in ruptured intracranial aneurysms patients with postoperative CVS are obviously elevated,and the combined detection of the two can effectively predict the occurrence of CVS.

Objective To observe the ultrasonic manifestations of aggressive angiomyxoma(AAM).Methods Four patients with newly diagnosed AAM and 3 with recurrent AAM confirmed by pathology were retrospectively enrolled,and the ultrasonic manifestations were analyzed.Results Among 7 cases of AAM,the lesions located in subcutaneous regions of perineum in 3 cases,in both perineum and pelvic cavity in 2 cases,in pelvic cavity and in cervix each 1 case,with a median maximum diameter of 7.6 cm.The lesions mainly manifested as heterogeneous hypoechoic,scattered cord-like moderate/moderate-hyperechoic inside,regular or lobulated shape with finger-like protrusions,with clear boundary or unclear boundary with adjacent vagina/rectum.Layered structure could be observed with gray-scale ultrasound and CDFI.Conclusion AAM mainly affected pelvis and perineal region,often manifested as large lesion tended to infiltrate surrounding areas and form finger-like protrusions,most with clear boundaries and interior heterogeneous hypoechoic regions,also the characteristic stratified structures.

Objective:To explore the value of ultrasound imaging characteristics combined with clinical indicators in assessing the prognosis of patients with pancreatic ductal adenocarcinoma (PDAC).Methods:A retrospective analysis was conducted for patients who underwent pancreatic contrast-enhanced ultrasound (CEUS) from September 2017 to October 2023 at Peking Union Medical College Hospital and were diagnosed with PDAC based on pathological findings. Various parameters were recorded, including CA19-9 levels, tumor size, location, morphologic features, echogenicity, presence of internal cystic components, dilatation of the main pancreatic duct, peripheral vascular invasion, CEUS characteristics, presence or absence of liver metastasis, and treatment methods. In April 2024, patient survival information was obtained through telephone follow-up or review of medical records. Based on the results of the cox regression model analysis, a nomogram model of the risk of death was developed. The receiver operating characteristic (ROC) curves were applied to evaluate the predictive efficacy of the model. The calibration curves were plotted to evaluate the accuracy of the model, and clinical decision curves were used to evaluate the clinical benefit of the model.Results:This study included a total of 207 patients with PDAC. As of April 2024, 71 patients were alive and 136 died, with a median survival time of 14 months (95% CI: 12 -17). Multivariate analysis confirmed that the elevated CA19-9 ( HR=1.689, 95% CI: 1.102-2.588), tumor size >4 cm ( HR=1.641, 95% CI: 1.159-2.322), taller-than-wide shapes ( HR=1.450, 95% CI: 1.019-2.065), incomplete hypo-enhancement ( HR=1.618, 95% CI: 1.100-2.380), and liver metastasis ( HR=1.687, 95% CI: 1.175-2.423) were independent risk factors for survival in patients with PDAC. A nomogram model was further constructed for 6-month, 12-month and 3-year survival of patients with PDAC. The areas under the ROC curve were 0.679, 0.705 and 0.815, respectively. The calibration curves suggested that the model was more accurate, and the clinical decision curves showed that the model had a better clinical benefit. Conclusion:The combined use of ultrasound imaging characteristics and clinical indicators could effectively predict the prognosis of PDAC patients. Specifically, tumor size >4 cm, taller-than-wide shapes, incomplete hypo-enhancement, elevated CA19-9, and the presence of liver metastasis are correlated with poorer survival outcomes. The nomogram model constructed on the basis of these factors can be used to assess the survival of patients with PDAC.