Objective To evaluate the fairness of the configuration of stroke centers in China,and to provide a reference basis for further standardizing and improving the treatment of stroke patients,ensuring medical quality and medical safety.Methods Gini coefficient,agglomeration and Lorenz curve were used to measure the equity of the current configuration of stroke centers in China.Spatial information was analyzed and processed through geographic information system(GIS)technology,combining visualization effects and geographic analysis functions to discover spatial differences in their distribution.Results Currently,there are 1 414 stroke centers in China.The Lorenz curves for the distribution of stroke center allocations by population in all 34 provincial administrative regions of China lie below the fair line.The Gini coefficients and Lorenz curves for the various provincial administrative regions of China show a large disparity in the inequity of resource allocation across the region,with more than half of the provincial administrative regions having stroke centers with an HRAD/PAD＜1,and the distribution of stroke centers relative to the agglomeration of Insufficient population.The nearest-neighbor indices of stroke centers were 0.58(P＜0.01)in China,respectively,which belonged to a typical aggregation pattern with significant zonal differences.Conclusion The planning of stroke centers in China has been effective,but it still needs to be continuously promoted.In response to the situation that demographic fairness is better than geographic,it should be optimized and adjusted in conjunction with urban planning and be adapted to the local conditions with preceding by education and awareness-raising,to cope with the significant differences in the fairness of the configurations of the different provincial administrative districts.

With the rapid development of information technology， research on ancient TCM books has shifted from the traditional collation and digitization into intelligent knowledge service， thereby achieving the deep integration of ancient TCM books collation and clinical needs. Based on the clinical problem and knowledge element theory， we implemented in-depth indexing and knowledge mining for 600 kinds of ancient TCM books， built a knowledge sharing service platform for ancient TCM books by integrating database， cloud platform， knowledge graph and other technologies， and carried out the thematic literature research and developed databases for four major diseases including stroke， heart failure， liver cirrhosis， and diabetes. The digital intelligence products have been applied in hundreds of hospitals for evaluation and feedback. Finally， through "digital processing plus intelligent application"， the two-way interaction between ancient TCM books and current clinical practice is realized， and the path and paradigm of ancient TCM books knowledge serving the modern prevention and control of major diseases is formed， providing reference for the innovative utilization of ancient TCM books.

Objective To evaluate the fairness of the configuration of stroke centers in China,and to provide a reference basis for further standardizing and improving the treatment of stroke patients,ensuring medical quality and medical safety.Methods Gini coefficient,agglomeration and Lorenz curve were used to measure the equity of the current configuration of stroke centers in China.Spatial information was analyzed and processed through geographic information system(GIS)technology,combining visualization effects and geographic analysis functions to discover spatial differences in their distribution.Results Currently,there are 1 414 stroke centers in China.The Lorenz curves for the distribution of stroke center allocations by population in all 34 provincial administrative regions of China lie below the fair line.The Gini coefficients and Lorenz curves for the various provincial administrative regions of China show a large disparity in the inequity of resource allocation across the region,with more than half of the provincial administrative regions having stroke centers with an HRAD/PAD＜1,and the distribution of stroke centers relative to the agglomeration of Insufficient population.The nearest-neighbor indices of stroke centers were 0.58(P＜0.01)in China,respectively,which belonged to a typical aggregation pattern with significant zonal differences.Conclusion The planning of stroke centers in China has been effective,but it still needs to be continuously promoted.In response to the situation that demographic fairness is better than geographic,it should be optimized and adjusted in conjunction with urban planning and be adapted to the local conditions with preceding by education and awareness-raising,to cope with the significant differences in the fairness of the configurations of the different provincial administrative districts.

Objective To evaluate the fairness of the configuration of stroke centers in China,and to provide a reference basis for further standardizing and improving the treatment of stroke patients,ensuring medical quality and medical safety.Methods Gini coefficient,agglomeration and Lorenz curve were used to measure the equity of the current configuration of stroke centers in China.Spatial information was analyzed and processed through geographic information system(GIS)technology,combining visualization effects and geographic analysis functions to discover spatial differences in their distribution.Results Currently,there are 1 414 stroke centers in China.The Lorenz curves for the distribution of stroke center allocations by population in all 34 provincial administrative regions of China lie below the fair line.The Gini coefficients and Lorenz curves for the various provincial administrative regions of China show a large disparity in the inequity of resource allocation across the region,with more than half of the provincial administrative regions having stroke centers with an HRAD/PAD＜1,and the distribution of stroke centers relative to the agglomeration of Insufficient population.The nearest-neighbor indices of stroke centers were 0.58(P＜0.01)in China,respectively,which belonged to a typical aggregation pattern with significant zonal differences.Conclusion The planning of stroke centers in China has been effective,but it still needs to be continuously promoted.In response to the situation that demographic fairness is better than geographic,it should be optimized and adjusted in conjunction with urban planning and be adapted to the local conditions with preceding by education and awareness-raising,to cope with the significant differences in the fairness of the configurations of the different provincial administrative districts.

Objective To evaluate the fairness of the configuration of stroke centers in China,and to provide a reference basis for further standardizing and improving the treatment of stroke patients,ensuring medical quality and medical safety.Methods Gini coefficient,agglomeration and Lorenz curve were used to measure the equity of the current configuration of stroke centers in China.Spatial information was analyzed and processed through geographic information system(GIS)technology,combining visualization effects and geographic analysis functions to discover spatial differences in their distribution.Results Currently,there are 1 414 stroke centers in China.The Lorenz curves for the distribution of stroke center allocations by population in all 34 provincial administrative regions of China lie below the fair line.The Gini coefficients and Lorenz curves for the various provincial administrative regions of China show a large disparity in the inequity of resource allocation across the region,with more than half of the provincial administrative regions having stroke centers with an HRAD/PAD＜1,and the distribution of stroke centers relative to the agglomeration of Insufficient population.The nearest-neighbor indices of stroke centers were 0.58(P＜0.01)in China,respectively,which belonged to a typical aggregation pattern with significant zonal differences.Conclusion The planning of stroke centers in China has been effective,but it still needs to be continuously promoted.In response to the situation that demographic fairness is better than geographic,it should be optimized and adjusted in conjunction with urban planning and be adapted to the local conditions with preceding by education and awareness-raising,to cope with the significant differences in the fairness of the configurations of the different provincial administrative districts.

Objective To evaluate the fairness of the configuration of stroke centers in China,and to provide a reference basis for further standardizing and improving the treatment of stroke patients,ensuring medical quality and medical safety.Methods Gini coefficient,agglomeration and Lorenz curve were used to measure the equity of the current configuration of stroke centers in China.Spatial information was analyzed and processed through geographic information system(GIS)technology,combining visualization effects and geographic analysis functions to discover spatial differences in their distribution.Results Currently,there are 1 414 stroke centers in China.The Lorenz curves for the distribution of stroke center allocations by population in all 34 provincial administrative regions of China lie below the fair line.The Gini coefficients and Lorenz curves for the various provincial administrative regions of China show a large disparity in the inequity of resource allocation across the region,with more than half of the provincial administrative regions having stroke centers with an HRAD/PAD＜1,and the distribution of stroke centers relative to the agglomeration of Insufficient population.The nearest-neighbor indices of stroke centers were 0.58(P＜0.01)in China,respectively,which belonged to a typical aggregation pattern with significant zonal differences.Conclusion The planning of stroke centers in China has been effective,but it still needs to be continuously promoted.In response to the situation that demographic fairness is better than geographic,it should be optimized and adjusted in conjunction with urban planning and be adapted to the local conditions with preceding by education and awareness-raising,to cope with the significant differences in the fairness of the configurations of the different provincial administrative districts.

Objective To evaluate the fairness of the configuration of stroke centers in China,and to provide a reference basis for further standardizing and improving the treatment of stroke patients,ensuring medical quality and medical safety.Methods Gini coefficient,agglomeration and Lorenz curve were used to measure the equity of the current configuration of stroke centers in China.Spatial information was analyzed and processed through geographic information system(GIS)technology,combining visualization effects and geographic analysis functions to discover spatial differences in their distribution.Results Currently,there are 1 414 stroke centers in China.The Lorenz curves for the distribution of stroke center allocations by population in all 34 provincial administrative regions of China lie below the fair line.The Gini coefficients and Lorenz curves for the various provincial administrative regions of China show a large disparity in the inequity of resource allocation across the region,with more than half of the provincial administrative regions having stroke centers with an HRAD/PAD＜1,and the distribution of stroke centers relative to the agglomeration of Insufficient population.The nearest-neighbor indices of stroke centers were 0.58(P＜0.01)in China,respectively,which belonged to a typical aggregation pattern with significant zonal differences.Conclusion The planning of stroke centers in China has been effective,but it still needs to be continuously promoted.In response to the situation that demographic fairness is better than geographic,it should be optimized and adjusted in conjunction with urban planning and be adapted to the local conditions with preceding by education and awareness-raising,to cope with the significant differences in the fairness of the configurations of the different provincial administrative districts.

Objective To evaluate the fairness of the configuration of stroke centers in China,and to provide a reference basis for further standardizing and improving the treatment of stroke patients,ensuring medical quality and medical safety.Methods Gini coefficient,agglomeration and Lorenz curve were used to measure the equity of the current configuration of stroke centers in China.Spatial information was analyzed and processed through geographic information system(GIS)technology,combining visualization effects and geographic analysis functions to discover spatial differences in their distribution.Results Currently,there are 1 414 stroke centers in China.The Lorenz curves for the distribution of stroke center allocations by population in all 34 provincial administrative regions of China lie below the fair line.The Gini coefficients and Lorenz curves for the various provincial administrative regions of China show a large disparity in the inequity of resource allocation across the region,with more than half of the provincial administrative regions having stroke centers with an HRAD/PAD＜1,and the distribution of stroke centers relative to the agglomeration of Insufficient population.The nearest-neighbor indices of stroke centers were 0.58(P＜0.01)in China,respectively,which belonged to a typical aggregation pattern with significant zonal differences.Conclusion The planning of stroke centers in China has been effective,but it still needs to be continuously promoted.In response to the situation that demographic fairness is better than geographic,it should be optimized and adjusted in conjunction with urban planning and be adapted to the local conditions with preceding by education and awareness-raising,to cope with the significant differences in the fairness of the configurations of the different provincial administrative districts.

Objective:To explore the value of clinical and biparametric magnetic resonance imaging(bpMRI)in diagnosing extraprostatic ex-tension(EPE)of prostate cancer(PCa).Methods:This retrospective study assigned 107 patients into EPE(n=42)and organ-limited(n=65)groups based on their postoperative pathology after radical prostatectomy from August 2018 to May 2024 at Wuhu Second People's Hospit-al.The differences in the following clinical risk indicators were compared between the groups:age,total prostate specific antigen(tPSA),pro-state volume,prostate specific antigen density(PSAD)and International Society of Urological Pathology(ISUP)score for prostate puncture.The differences in MRI indicators,prostate imaging reporting and data system(PI-RADS)score and bpMRI were also identified.Binary Logist-ic regression analysis was used to construct clinical and joint models for diagnosing EPE,and screening independent influencing factors.The ROC curve analyze the independent influencing factors and diagnostic performance of the models.The DeLong test was used to compare the differences between the AUC models.A nomogram was draw,and performance evaluated.Results:The differences in tPSA,PSAD,ISUP score for prostate puncture,PI-RADS score,and bpMRI were statistically significant between the two groups(P<0.05).The clinical model AUC was 0.821;while the AUCs of the combined model and independent influencing factors PSAD(OR=25.992),ISUP score for prostate puncture(OR=1.676),and bpMRI(OR=10.729)were 0.899,0.813,0.770,and 0.793 respectively(P<0.001).The combined model was superior to the clinical model(Z=2.502 and P=0.012).The average AUC for 5-fold cross-validation was 0.887,with high model calibration and a threshold range of 5%-85%,indicating clinical benefits.Conclusions:The combined model nomogram derived from clinical and bpMRI indicators is highiy valuable for diagnosing PCa EPE.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.