Objective To investigate the current distribution of radiotherapy resources in Gansu Province, evaluate the equity of resource allocation, and provide a scientific basis for optimizing regional resource allocation. Methods A questionnaire survey was carried out to assess radiotherapy resources in medical institutions across Gansu Province, China. The equity of radiotherapy resource distribution and associated disparities were assessed using the Gini coefficient, Lorenz curve, and Theil index. Results A total of 23 medical institutions in Gansu Province provided radiotherapy services, comprising 39 radiotherapy devices and 438 professionals, of whom medical physicists accounted for 16.9%. The radiotherapy frequency was 0.47 cases per thousand population. The Gini coefficients for radiotherapy resource distribution ranged from 0.38 to 0.56 by population and from 0.52 to 0.70 by geography. The Theil index for radiotherapy resources ranged from 1.36 to 3.67. Conclusion Radiotherapy resources in Gansu Province were insufficient, and the capacity of radiotherapy service was suboptimal. The equity of radiotherapy resource allocation by geography was worse than that by population. Therefore, it is imperative to address the shortage of radiotherapy resources, strengthen the professional workforce, enhance the capacity radiotherapy service and resource utilization, optimize resource allocation, and promote regional equity in radiotherapy provision in Gansu Province.

Acute liver failure (ALF) is lack of broadly approved therapeutic strategy except liver transplantation. As a glycogen metabolic intermediate, UDP-glucose (UDP-G) has been considered to accelerate liver repairment. Nevertheless, the role of UDP-G and its receptor P2Y purinoceptor 14 (P2Y₁₄R) in ALF remains unknown. The present study aims to investigate the role and underlying mechanisms of UDP-G/P2Y₁₄R axis in ALF. In this study, hepatic P2Y₁₄R is significantly increased in TAA-induced and partial hepatectomy-induced ALF, while knockout of whole-body P2Y₁₄R aggravates liver failure, manifested by inhibiting β-Catenin-mediated liver regeneration. Consistently, P2Y₁₄R deficiency exhibits impaired liver regeneration in mice suffer partial hepatectomy. Importantly, only hepatocellular specific deletion of P2Y₁₄R (P2Y₁₄R ^flox/flox Alb ^cre/+ ) mice shows a similar phenomenon, rather than stellate cell specific deletion of P2Y₁₄R (P2Y₁₄R ^flox/flox Lrat ^cre/+ ) mice. Mechanistically, P2Y₁₄R induction regulates methylation of Dact-2 through CREB/DNMT3b signals in hepatocytes, subsequently inhibiting the expression of Dact-2 which is a stabilizer of β-Catenin degradation complex, leading to the activation of β-Catenin -mediated liver regeneration. Interestingly, the administration of exogenous UDP-G can accelerate liver regeneration and liver function recovery after partial hepatectomy in hepatocellular carcinoma mice. Together, the findings propose an unrecognized role of P2Y₁₄R in ALF and provide an effective adjuvant strategy for treatment of ALF.

Objective Under the background of DIP payment reform,the data quality of medical record home pages has become a core factor affecting the efficiency of hospital medical insurance settlement and economic benefits.Methods This study aimed to address the issues in the completion of medical record home pages by residents in tertiary hospitals and constructed an improvement system based on the Six Sigma method and RBRVS.Results In 2023,the defect rate of medical record home pages was 5.97％,with major defects concentrated in the names of surgical procedures(19.9％)and the filling of primary diag-noses(18.15％).By establishing a closed-loop management scheme under the"structure-process-outcome"theoretical frame-work-including standardized entry processes,a"three-medical linkage"supervision mechanism,and an RBRVS-based perform-ance appraisal system-the error rate of medical record home pages dropped to 2.04％in 2024 after applying Six Sigma improve-ments.Conclusion The RBRVS performance indicators,through differentiated weight design,can motivate physicians'initia-tive and improve the data quality of medical record home pages,thereby achieving accurate medical insurance settlement.It is recommended to explore intelligent verification paths combined with AI technology in the future to achieve synergistic optimization of medical record quality and hospital operations.

Objective Under the background of DIP payment reform,the data quality of medical record home pages has become a core factor affecting the efficiency of hospital medical insurance settlement and economic benefits.Methods This study aimed to address the issues in the completion of medical record home pages by residents in tertiary hospitals and constructed an improvement system based on the Six Sigma method and RBRVS.Results In 2023,the defect rate of medical record home pages was 5.97％,with major defects concentrated in the names of surgical procedures(19.9％)and the filling of primary diag-noses(18.15％).By establishing a closed-loop management scheme under the"structure-process-outcome"theoretical frame-work-including standardized entry processes,a"three-medical linkage"supervision mechanism,and an RBRVS-based perform-ance appraisal system-the error rate of medical record home pages dropped to 2.04％in 2024 after applying Six Sigma improve-ments.Conclusion The RBRVS performance indicators,through differentiated weight design,can motivate physicians'initia-tive and improve the data quality of medical record home pages,thereby achieving accurate medical insurance settlement.It is recommended to explore intelligent verification paths combined with AI technology in the future to achieve synergistic optimization of medical record quality and hospital operations.

Objective To predict the causal relationship between immune cells and osteomyelitis(OM)by using Mendelian randomization.Methods Data sets of 731 immune cells and osteomyelitis were obtained from the UK Biobank and the genome wide association study.The inverse variance weighted method,weighted median method,and MR-Egger method were employed sequentially to verify the causal relationship between the 731 immune cells and osteomyelitis.Cochran's Q test,MR-Egger intercept test,mendelian randomization pleiotropy residual sum and outlier(MR-PRESSO),and leave-one-out analysis were evaluatede the stability and reliability of the results.Results A total of 21 immune cells were found to have a causal relationship with osteomyelitis(P＜0.05).Among them,T regulatory cells,classical dendritic cells and B cells were exhibited more stable causal relationships with osteomyelitis(P＜0.01).Specifically,T regulatory cells(OR=0.925,β=0.078)were identified as protective factors reducing the risk of osteomyelitis,while classical dendritic cells(OR=1.084,β=0.081)and B cells(OR=1.063,β=0.061)were identified as risk factors increasing the risk of osteomyelitis.Conclusion Twenty-one immune cells are genetically associated with the risk of osteomyelitis.