Background::Hepatitis B poses a heavy burden for children in China, however, the national studies on the distributional characteristics and health care costs of children with severe hepatitis B is still lacking. This study aimed to analyze the disease characteristics, health economic effects, and medical cost for children with severe hepatitis B in China.Methods::Based on patient information in the Hospital Quality Monitoring System, cases with severe hepatitis B were divided into four groups according to age, and the etiology and symptoms of each group were quantified. The cost of hospitalization was calculated for cases with different disease processes, and severity of disease. The spatial aggregation of cases and the relationship with health economic factors were analyzed by Moran’s I analysis. Results::The total number of children discharged with hepatitis B from January 2016 to April 2022 was 1603, with an average age of 10.5 years. Liver failure cases accounted for 43.48% (697/1603) of total cases and cirrhosis cases accounted for 11.23% (180/1603). According to the grouping of disease progression, there were 1292 cases without associated complications, and the median hospitalization cost was $818.12. According to the spatial analysis, the aggregation of cases was statistically significant at the prefectural and provincial levels in 2019, 2020, and 2021 (all P <0.05). The number of severe cases was negatively correlated with gross domestic product (Moran’s I <0) and percentage of urban population (Moran’s I <0), and positively correlated with the number of pediatric beds per million population (Moran’s I >0). Conclusion::The number of severe hepatitis B cases is low in areas with high gross domestic product levels and high urban population ratios, and health care costs have been declining over the years.

Kirsten rat sarcoma viral oncogene homolog(KRAS)protein inhibitors are a promising class of thera-peutics,but research on molecules that effectively penetrate the blood-brain barrier(BBB)remains limited,which is crucial for treating central nervous system(CNS)malignancies.Although molecular generation models have recently advanced drug discovery,they often overlook the complexity of bio-logical and chemical factors,leaving room for improvement.In this study,we present a structure-constrained molecular generation workflow designed to optimize lead compounds for both drug effi-cacy and drug absorption properties.Our approach utilizes a variational autoencoder(VAE)generative model integrated with reinforcement learning for multi-objective optimization.This method specifically aims to enhance BBB permeability(BBBp)while maintaining high-affinity substructures of KRAS in-hibitors.To support this,we incorporate a specialized KRAS BBB predictor based on active learning and an affinity predictor employing comparative learning models.Additionally,we introduce two novel metrics,the knowledge-integrated reproduction score(KIRS)and the composite diversity score(CDS),to assess structural performance and biological relevance.Retrospective validation with KRAS inhibitors,AMG510 and MRTX849,demonstrates the framework's effectiveness in optimizing BBBp and highlights its potential for real-world drug development applications.This study provides a robust framework for accelerating the structural enhancement of lead compounds,advancing the drug development process across diverse targets.

Kirsten rat sarcoma viral oncogene homolog (KRAS) protein inhibitors are a promising class of therapeutics, but research on molecules that effectively penetrate the blood-brain barrier (BBB) remains limited, which is crucial for treating central nervous system (CNS) malignancies. Although molecular generation models have recently advanced drug discovery, they often overlook the complexity of biological and chemical factors, leaving room for improvement. In this study, we present a structure-constrained molecular generation workflow designed to optimize lead compounds for both drug efficacy and drug absorption properties. Our approach utilizes a variational autoencoder (VAE) generative model integrated with reinforcement learning for multi-objective optimization. This method specifically aims to enhance BBB permeability (BBBp) while maintaining high-affinity substructures of KRAS inhibitors. To support this, we incorporate a specialized KRAS BBB predictor based on active learning and an affinity predictor employing comparative learning models. Additionally, we introduce two novel metrics, the knowledge-integrated reproduction score (KIRS) and the composite diversity score (CDS), to assess structural performance and biological relevance. Retrospective validation with KRAS inhibitors, AMG510 and MRTX849, demonstrates the framework's effectiveness in optimizing BBBp and highlights its potential for real-world drug development applications. This study provides a robust framework for accelerating the structural enhancement of lead compounds, advancing the drug development process across diverse targets.

Objective The digital transformation of healthcare has made data-driven approaches critical for improving the quality and efficiency of medical services.This study aims to improve the quality of critical value management by a data-driv-en intervention.Methods This study built an advanced digital platform to precisely record the time-stamp of each step,from de-tection to solution.This platform also delivered real-time notifications of patient critical value information to doctors' mobile de-vices,thereby optimizing the critical value management.Data were collected via this platform.A cohort study was designed:March 2024 data(pre-go-live)served as the control group and May 2024 data(post-go-live)as the intervention group.Comple-tion rate,processing time,and the proportion of in-patient critical values which were entered into the electronic progress were compared.Results The critical-value completion rate rose from 97.1％to 100.0％,and the proportion of values processed within 30 min increased from 80.91％to 83.42％.Among alerts that required ≥30 min,median(IQR)processing time fell from 100.27(230.09)min in March 2024 to 91.07(169.73)min in May 2024.Median processing time shortened for both e-mergency and out-patient alerts,with the out-patient reduction being statistically significant(median-45 min,P=0.042).Conclusion The data-driven platform not only improved the critical-value management,but also enhanced the transparency and traceability,providing clinical decision support and enhancing patient safety.

Objective The digital transformation of healthcare has made data-driven approaches critical for improving the quality and efficiency of medical services.This study aims to improve the quality of critical value management by a data-driv-en intervention.Methods This study built an advanced digital platform to precisely record the time-stamp of each step,from de-tection to solution.This platform also delivered real-time notifications of patient critical value information to doctors' mobile de-vices,thereby optimizing the critical value management.Data were collected via this platform.A cohort study was designed:March 2024 data(pre-go-live)served as the control group and May 2024 data(post-go-live)as the intervention group.Comple-tion rate,processing time,and the proportion of in-patient critical values which were entered into the electronic progress were compared.Results The critical-value completion rate rose from 97.1％to 100.0％,and the proportion of values processed within 30 min increased from 80.91％to 83.42％.Among alerts that required ≥30 min,median(IQR)processing time fell from 100.27(230.09)min in March 2024 to 91.07(169.73)min in May 2024.Median processing time shortened for both e-mergency and out-patient alerts,with the out-patient reduction being statistically significant(median-45 min,P=0.042).Conclusion The data-driven platform not only improved the critical-value management,but also enhanced the transparency and traceability,providing clinical decision support and enhancing patient safety.

Background::Hepatitis B poses a heavy burden for children in China, however, the national studies on the distributional characteristics and health care costs of children with severe hepatitis B is still lacking. This study aimed to analyze the disease characteristics, health economic effects, and medical cost for children with severe hepatitis B in China.Methods::Based on patient information in the Hospital Quality Monitoring System, cases with severe hepatitis B were divided into four groups according to age, and the etiology and symptoms of each group were quantified. The cost of hospitalization was calculated for cases with different disease processes, and severity of disease. The spatial aggregation of cases and the relationship with health economic factors were analyzed by Moran’s I analysis. Results::The total number of children discharged with hepatitis B from January 2016 to April 2022 was 1603, with an average age of 10.5 years. Liver failure cases accounted for 43.48% (697/1603) of total cases and cirrhosis cases accounted for 11.23% (180/1603). According to the grouping of disease progression, there were 1292 cases without associated complications, and the median hospitalization cost was $818.12. According to the spatial analysis, the aggregation of cases was statistically significant at the prefectural and provincial levels in 2019, 2020, and 2021 (all P <0.05). The number of severe cases was negatively correlated with gross domestic product (Moran’s I <0) and percentage of urban population (Moran’s I <0), and positively correlated with the number of pediatric beds per million population (Moran’s I >0). Conclusion::The number of severe hepatitis B cases is low in areas with high gross domestic product levels and high urban population ratios, and health care costs have been declining over the years.

To analyze the disease group structure and its trends in key departments of large public hospitals using diagnosis related group (DRG) data, explore the key points of intervention and optimization of disease groups in departments, and further promote the rational allocation of department resources.

In July 2024, the National Healthcare Security Administration issued "Notice on Printing and Distributing the 2.0 Edition Grouping Scheme for Diagnosis Related Group(DRG) and Disease-based Payment and Further Advancing Related Work, " marking the official entry of China's DRG payment reform into the 2.0 era. In the 2.0 edition of the DRG grouping scheme, the number of DRGs has increased by six groups, and that of the adjacent DRGs has increased by 33 groups, featuring more scientific and reasonable grouping that aligns better with clinical practice. The National Healthcare Security Administration has also clarified five supporting management mechanisms, including the special case negotiation mechanism, the fund prepayment mechanism, the negotiation and consultation mechanism, the feedback mechanism for opinion collection, and the data disclosure mechanism. These are aimed at optimizing the management of DRG payment reform to ensure a win-win situation for medical institutions, healthcare security departments, and patients. The release of the DRG 2.0 edition provides medical institutions with more refined management tools and a more reasonable paymentmechanism. Medical institutions need to actively embrace this reform, optimize internal management, and improve service quality to achieve cost control and efficiency enhancement, ultimately leading to a win-win situation for patients, healthcare security funds, and medical institutions.

AIM: To evaluate the effect of remimazolam on early postoperative cognitive function in elderly patients with hip fracture based on a randomized controlled trial. METHODS: A total of 106 elderly patients, aged 65-90 years, ASA grade Ⅱ or III, who underwent hip fracture surgery under combined spinal-epidural anesthesia in the Sixth Affiliated Hospital of Wenzhou Medical University from December 2022 to June 2023 and met the inclusion criteria, were selected and randomized into remimazolam group (group R) and propofol group (group P) according to the random number table, with 53 cases in each group. Patients in group P received a slow intravenous injection of propofol at a dose of 0.3-0.5 mg / kg (injection time of 1min), followed by a pump infusion at 0.5-3 mg · kg

Objective To evaluate the analgesic effects of ultrasound-guided hip capsule block and fascia iliaca block in elderly patients undergoing hip replacement surgery and their impacts on postoperative rehabilitation.Methods A total of 44 patients who underwent total hip replacement in the Second Affiliated Hospital of Wenzhou Medical University from May to December in 2023 were selected and divided into fascia iliaca block group(group F)and hip capsule block group(group H)according to the random number table,with 22 cases in each group.All patients were anesthetized by lumbar anesthesia combined with nerve block.The primary indicators included the recovery of lower limb muscle strength at 8h,24h,48h after operation and the rest and movement visual analogue scale(VAS)scores at each observation point.The secondary indicators were sufentanil consumption of analgesic pump,the number of compressions,the use rates of additional parecoxib sodium in ward,the length of hospital stay and the occurrence of adverse reactions.Results The recovery of lower limb muscle strength in group H was better than that in group F at 8h and 24h after operation,and the difference was statistically significant(P<0.05).The rest and movement VAS scores at 30min after block and 4h after operation in group H were significantly lower than those in group F(P<0.05),while there were no significant differences in the rest and movement VAS scores between two groups at other time points(P>0.05).The rest and movement VAS scores at each time point after blockade were lower than those before blockade in two groups(P<0.05).The sufentanil consumption in analgesic pump and the number of compressions in group H was lower than that in group F at 4h after operation(P<0.05),and there were no significant differences in analgesic pump data and the use rates of parecoxib sodium between two groups at subsequent time points(P>0.05).There were no statistically significant difference in the incidence of nausea within 48h after operation and hospital stay between two groups(P>0.05).Conclusion Both fascia iliaca block and hip capsule block can be safely and effectively used in elderly patients with hip replacement,but the analgesic effect of hip capsule block is faster,the early postoperative analgesic effect is better,and the impact on lower limb movement is less.