Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Objective:To study the relationship between the absorptive capacity of inpatients with infectious diseases and the structure of diseases in 65 secondary and tertiary general hospitals in Beijing,and to objectively analyze the current situation of space utilization of inpatients with infectious diseases,so as to provide data support for the formulation of relevant policies.Methods:The variability of spatial absorption capacity indicators for secondary and tertiary general hospitals in 6 urban districts and 10 suburbs were compared separately,and the correlation between the spatial absorption capacity of secondary and tertiary general hospitals and the structure of disease types was visualized and analyzed using quadrant bubble charts.Results:In terms of spatial absorption capacity,there was a statistically significant difference in the proportion of patients from suburban districts treated in the secondary and tertiary general hospitals in 6 urban districts of the Beijing(P=0.003),while there was no statistically significant difference in the proportion of patients from other districts treated in the secondary and tertiary general hospitals in 10 suburbs(P=0.336).The spatial absorption capacity and disease structure of the secondary and tertiary hospitals in 6 urban districts and the tertiary hospitals in 10 suburbs showed significant correlation,while the secondary hospitals in 10 suburbs showed no significant correlation.Conclusion:The tertiary general hospitals in 6 urban districts have superior infectious disease type structure indicators,with significantly stronger spatial absorption capacity and stronger correlation between these two,which plays the function of inpatient service of difficult and severe infectious diseases.Only the district hospitals in the outer suburbs can provide inpatient services for infectious diseases,and the number of cases admitted is large,which meets the needs of inpatient diagnosis and treatment of common infectious diseases in the district.It is necessary to strengthen the investment of infectious disease medical resources and capacity building in 10 suburban districts according to the actual situation.

Objective:The service capacity of infectious diseases department in Beijing secondary and tertiary general hospitals was quantitatively analyzed to provide objective data support for the construction of infectious diseases department.Methods:The scope of infectious diseases was defined by the DRG tool,and the service capacity of medical institutions was described by the Case Mix Index(CMI)and number of DRG groups.The differences in the service capacity of infectious diseases in 67 secondary and tertiary general hospitals in Beijing from 2016 to 2020 were analyzed by data visualization and generalized linear equation,and the disease structure of different hospitals at different levels was compared by selecting representative hospitals.Results:From 2016 to 2020,the mean CMI of tertiary hospitals ranged from 0.94 to 0.97,while that of secondary hospitals ranged from 0.70 to 0.72.From 2016 to 2019,the average number of DRG groups in tertiary hospitals ranged from 26.75 to 27.79,and the average number of DRG groups in secondary hospitals ranged from 15.32 to 15.77,and the average number of DRG groups in secondary and tertiary hospitals showed a significant decline in 2020.CMI and number of DRG groups had statistical significant difference at hospital level(P＜0.001),and number of DRG groups had statistical difference in time dimension(P＜0.001).Conclusion:The infectious disease service capacity of tertiary general hospitals is obviously stronger than that of secondary general hospitals,and the infectious disease medical service capacity of large tertiary hospitals is obviously ahead,while the overall service level of secondary hospitals is low.We should give full play to the advantages of top three hospitals to build a high ground for infectious disease department construction,and combine the spatial distribution of medical resources and demand characteristics to improve the infectious disease service capacity of secondary hospitals.

Objective:To study the relationship between the absorptive capacity of inpatients with infectious diseases and the structure of diseases in 65 secondary and tertiary general hospitals in Beijing,and to objectively analyze the current situation of space utilization of inpatients with infectious diseases,so as to provide data support for the formulation of relevant policies.Methods:The variability of spatial absorption capacity indicators for secondary and tertiary general hospitals in 6 urban districts and 10 suburbs were compared separately,and the correlation between the spatial absorption capacity of secondary and tertiary general hospitals and the structure of disease types was visualized and analyzed using quadrant bubble charts.Results:In terms of spatial absorption capacity,there was a statistically significant difference in the proportion of patients from suburban districts treated in the secondary and tertiary general hospitals in 6 urban districts of the Beijing(P=0.003),while there was no statistically significant difference in the proportion of patients from other districts treated in the secondary and tertiary general hospitals in 10 suburbs(P=0.336).The spatial absorption capacity and disease structure of the secondary and tertiary hospitals in 6 urban districts and the tertiary hospitals in 10 suburbs showed significant correlation,while the secondary hospitals in 10 suburbs showed no significant correlation.Conclusion:The tertiary general hospitals in 6 urban districts have superior infectious disease type structure indicators,with significantly stronger spatial absorption capacity and stronger correlation between these two,which plays the function of inpatient service of difficult and severe infectious diseases.Only the district hospitals in the outer suburbs can provide inpatient services for infectious diseases,and the number of cases admitted is large,which meets the needs of inpatient diagnosis and treatment of common infectious diseases in the district.It is necessary to strengthen the investment of infectious disease medical resources and capacity building in 10 suburban districts according to the actual situation.

Objective:The service capacity of infectious diseases department in Beijing secondary and tertiary general hospitals was quantitatively analyzed to provide objective data support for the construction of infectious diseases department.Methods:The scope of infectious diseases was defined by the DRG tool,and the service capacity of medical institutions was described by the Case Mix Index(CMI)and number of DRG groups.The differences in the service capacity of infectious diseases in 67 secondary and tertiary general hospitals in Beijing from 2016 to 2020 were analyzed by data visualization and generalized linear equation,and the disease structure of different hospitals at different levels was compared by selecting representative hospitals.Results:From 2016 to 2020,the mean CMI of tertiary hospitals ranged from 0.94 to 0.97,while that of secondary hospitals ranged from 0.70 to 0.72.From 2016 to 2019,the average number of DRG groups in tertiary hospitals ranged from 26.75 to 27.79,and the average number of DRG groups in secondary hospitals ranged from 15.32 to 15.77,and the average number of DRG groups in secondary and tertiary hospitals showed a significant decline in 2020.CMI and number of DRG groups had statistical significant difference at hospital level(P＜0.001),and number of DRG groups had statistical difference in time dimension(P＜0.001).Conclusion:The infectious disease service capacity of tertiary general hospitals is obviously stronger than that of secondary general hospitals,and the infectious disease medical service capacity of large tertiary hospitals is obviously ahead,while the overall service level of secondary hospitals is low.We should give full play to the advantages of top three hospitals to build a high ground for infectious disease department construction,and combine the spatial distribution of medical resources and demand characteristics to improve the infectious disease service capacity of secondary hospitals.

Objective:To study the relationship between the absorptive capacity of inpatients with infectious diseases and the structure of diseases in 65 secondary and tertiary general hospitals in Beijing,and to objectively analyze the current situation of space utilization of inpatients with infectious diseases,so as to provide data support for the formulation of relevant policies.Methods:The variability of spatial absorption capacity indicators for secondary and tertiary general hospitals in 6 urban districts and 10 suburbs were compared separately,and the correlation between the spatial absorption capacity of secondary and tertiary general hospitals and the structure of disease types was visualized and analyzed using quadrant bubble charts.Results:In terms of spatial absorption capacity,there was a statistically significant difference in the proportion of patients from suburban districts treated in the secondary and tertiary general hospitals in 6 urban districts of the Beijing(P=0.003),while there was no statistically significant difference in the proportion of patients from other districts treated in the secondary and tertiary general hospitals in 10 suburbs(P=0.336).The spatial absorption capacity and disease structure of the secondary and tertiary hospitals in 6 urban districts and the tertiary hospitals in 10 suburbs showed significant correlation,while the secondary hospitals in 10 suburbs showed no significant correlation.Conclusion:The tertiary general hospitals in 6 urban districts have superior infectious disease type structure indicators,with significantly stronger spatial absorption capacity and stronger correlation between these two,which plays the function of inpatient service of difficult and severe infectious diseases.Only the district hospitals in the outer suburbs can provide inpatient services for infectious diseases,and the number of cases admitted is large,which meets the needs of inpatient diagnosis and treatment of common infectious diseases in the district.It is necessary to strengthen the investment of infectious disease medical resources and capacity building in 10 suburban districts according to the actual situation.

Objective:The service capacity of infectious diseases department in Beijing secondary and tertiary general hospitals was quantitatively analyzed to provide objective data support for the construction of infectious diseases department.Methods:The scope of infectious diseases was defined by the DRG tool,and the service capacity of medical institutions was described by the Case Mix Index(CMI)and number of DRG groups.The differences in the service capacity of infectious diseases in 67 secondary and tertiary general hospitals in Beijing from 2016 to 2020 were analyzed by data visualization and generalized linear equation,and the disease structure of different hospitals at different levels was compared by selecting representative hospitals.Results:From 2016 to 2020,the mean CMI of tertiary hospitals ranged from 0.94 to 0.97,while that of secondary hospitals ranged from 0.70 to 0.72.From 2016 to 2019,the average number of DRG groups in tertiary hospitals ranged from 26.75 to 27.79,and the average number of DRG groups in secondary hospitals ranged from 15.32 to 15.77,and the average number of DRG groups in secondary and tertiary hospitals showed a significant decline in 2020.CMI and number of DRG groups had statistical significant difference at hospital level(P＜0.001),and number of DRG groups had statistical difference in time dimension(P＜0.001).Conclusion:The infectious disease service capacity of tertiary general hospitals is obviously stronger than that of secondary general hospitals,and the infectious disease medical service capacity of large tertiary hospitals is obviously ahead,while the overall service level of secondary hospitals is low.We should give full play to the advantages of top three hospitals to build a high ground for infectious disease department construction,and combine the spatial distribution of medical resources and demand characteristics to improve the infectious disease service capacity of secondary hospitals.

Objective:To study the relationship between the absorptive capacity of inpatients with infectious diseases and the structure of diseases in 65 secondary and tertiary general hospitals in Beijing,and to objectively analyze the current situation of space utilization of inpatients with infectious diseases,so as to provide data support for the formulation of relevant policies.Methods:The variability of spatial absorption capacity indicators for secondary and tertiary general hospitals in 6 urban districts and 10 suburbs were compared separately,and the correlation between the spatial absorption capacity of secondary and tertiary general hospitals and the structure of disease types was visualized and analyzed using quadrant bubble charts.Results:In terms of spatial absorption capacity,there was a statistically significant difference in the proportion of patients from suburban districts treated in the secondary and tertiary general hospitals in 6 urban districts of the Beijing(P=0.003),while there was no statistically significant difference in the proportion of patients from other districts treated in the secondary and tertiary general hospitals in 10 suburbs(P=0.336).The spatial absorption capacity and disease structure of the secondary and tertiary hospitals in 6 urban districts and the tertiary hospitals in 10 suburbs showed significant correlation,while the secondary hospitals in 10 suburbs showed no significant correlation.Conclusion:The tertiary general hospitals in 6 urban districts have superior infectious disease type structure indicators,with significantly stronger spatial absorption capacity and stronger correlation between these two,which plays the function of inpatient service of difficult and severe infectious diseases.Only the district hospitals in the outer suburbs can provide inpatient services for infectious diseases,and the number of cases admitted is large,which meets the needs of inpatient diagnosis and treatment of common infectious diseases in the district.It is necessary to strengthen the investment of infectious disease medical resources and capacity building in 10 suburban districts according to the actual situation.