As a physical treatment technique, modified electro-convulsive therapy (MECT) is used to treat mental and certain neurological disorders by causing seizures with short, suitable electrical currents applied to the brain while the patient is under general anesthesia and muscle relaxants. MECT is recognized for its therapeutic efficacy and clinical safety, rendering it one of the most prevalent interventions in psychiatric care. To enhance clinical outcomes and minimize adverse effects, this consensus document delineates the indications, therapeutic parameters, therapeutic procedures, potential adverse effects, and associated management strategies for MECT. These guidelines are informed by the latest clinical research and expert consensus, integrating evidence-based medicine methodologies. The objective is to furnish clinicians with precise operational guidelines and to advance the standardization of MECT practices in clinical settings.

As a physical treatment technique, modified electro-convulsive therapy (MECT) is used to treat mental and certain neurological disorders by causing seizures with short, suitable electrical currents applied to the brain while the patient is under general anesthesia and muscle relaxants. MECT is recognized for its therapeutic efficacy and clinical safety, rendering it one of the most prevalent interventions in psychiatric care. To enhance clinical outcomes and minimize adverse effects, this consensus document delineates the indications, therapeutic parameters, therapeutic procedures, potential adverse effects, and associated management strategies for MECT. These guidelines are informed by the latest clinical research and expert consensus, integrating evidence-based medicine methodologies. The objective is to furnish clinicians with precise operational guidelines and to advance the standardization of MECT practices in clinical settings.

Objective To analyse the characteristics of spatial distribution of bed resources and bed utilization efficiency of various types of medical and health institutions in Guangxi Province in 2018-2022,and to provide a reference basis for the allocation and management of bed resources of various types of medical and health institutions.Methods Spatial autocorrelation was used to analyse the status of bed allocation in various types of medical and health institutions,and the bed efficiency index and bed utilisation model were used to evaluate the efficiency of bed utilisation.Results Bed resources per 1 000 population vary considerably across types of healthcare organisations and regions.There is no spatial correlation in the overall distribution of bed resources per 1 000 population,but there are different types of aggregation,and there will be little change in the type of aggregation and the place of aggregation from 2018 to 2022.In terms of utilisation efficiency,the bed efficiency index of maternity and child healthcare hospitals is the highest,the bed efficiency index of specialist disease prevention and treatment hospitals(institutes and stations)is the lowest,general hospitals and maternity and child healthcare hospitals are operating at high efficiency,and all other healthcare institutions are operating at low efficiency;the utilisation of bed resources in various types of healthcare institutions exists in the form of efficiency-type,turn-around-type,bed-pressure-type,and unused-type hospitals at the same time.Conclusion There is an imbalance in the allocation of bed resources in various types of medical and health institutions,with large differences in the operational and utilisation efficiencies of beds;the allocation of bed resources should be continuously optimised.

Objective To analyse the characteristics of spatial distribution of bed resources and bed utilization efficiency of various types of medical and health institutions in Guangxi Province in 2018-2022,and to provide a reference basis for the allocation and management of bed resources of various types of medical and health institutions.Methods Spatial autocorrelation was used to analyse the status of bed allocation in various types of medical and health institutions,and the bed efficiency index and bed utilisation model were used to evaluate the efficiency of bed utilisation.Results Bed resources per 1 000 population vary considerably across types of healthcare organisations and regions.There is no spatial correlation in the overall distribution of bed resources per 1 000 population,but there are different types of aggregation,and there will be little change in the type of aggregation and the place of aggregation from 2018 to 2022.In terms of utilisation efficiency,the bed efficiency index of maternity and child healthcare hospitals is the highest,the bed efficiency index of specialist disease prevention and treatment hospitals(institutes and stations)is the lowest,general hospitals and maternity and child healthcare hospitals are operating at high efficiency,and all other healthcare institutions are operating at low efficiency;the utilisation of bed resources in various types of healthcare institutions exists in the form of efficiency-type,turn-around-type,bed-pressure-type,and unused-type hospitals at the same time.Conclusion There is an imbalance in the allocation of bed resources in various types of medical and health institutions,with large differences in the operational and utilisation efficiencies of beds;the allocation of bed resources should be continuously optimised.

Objective To investigate the effects of galectin-3(Gal3)on skin abscess development and activation of mast cells(MC)in mice infected with methicillin-resistant Staphylococcus aureus(MRSA).Methods Wild type mice and Gal3-knockout(Gal3-/-)mice,at 6～8 weeks of age,were divided into four groups:Wild type mice+PBS group,Wild type mice+MRSA group,Gal3-/-mice+PBS group,Gal3-/-mice+MRSA group,were subcutaneously injected with MRSA or the same volume of phosphate buffer saline,with five mice per group.The development and pathological changes of skin abscess were monitored and recorded.The bacterial load in skin tissues was compared,and the expression of associated cytokines,degranulation of MC,and the distribution of MC activation marker 5-hydroxytryptamine(5-HT)were detected.Results The skin of Wild type mice showed progressive abscesses after subcutaneous infection with MRSA,but the Gal3-/-mice showed smaller abscess areas.Compared to the Wild type mice+MRSA group,the Gal3-/-mice+MRSA group showed lower bacterial loading in the skin tissues(P＜0.01)and fewer infiltrating inflammatory cells with histopathological observation.The expression of cytokines,including IL-1β,TNF-α,IL-33,TGF-β,and IL-10,were significantly lower in Gal3-/-mice than Wild type mice(P＜0.05).The toluidine blue staining showed a large number of degranulated MCs in the skin tissues of the wild type mice+MRSA group,whereas only a few degranulated MCs were observed in the Gal3-/-mice+MRSA group.It was further found that the expression of 5-HT in Gal3-/-mice+MRSA group was significantly lower than that in wild-type mice+MRSA group with immunohistochemical staining.Conclusion Gal3 deficiency reduced the activation and degranulation of mouse skin MC after MRSA infection,resulting in changes to inflammatory responses and alleviating the severity of skin tissue abscesses.

Objective To analyse the characteristics of spatial distribution of bed resources and bed utilization efficiency of various types of medical and health institutions in Guangxi Province in 2018-2022,and to provide a reference basis for the allocation and management of bed resources of various types of medical and health institutions.Methods Spatial autocorrelation was used to analyse the status of bed allocation in various types of medical and health institutions,and the bed efficiency index and bed utilisation model were used to evaluate the efficiency of bed utilisation.Results Bed resources per 1 000 population vary considerably across types of healthcare organisations and regions.There is no spatial correlation in the overall distribution of bed resources per 1 000 population,but there are different types of aggregation,and there will be little change in the type of aggregation and the place of aggregation from 2018 to 2022.In terms of utilisation efficiency,the bed efficiency index of maternity and child healthcare hospitals is the highest,the bed efficiency index of specialist disease prevention and treatment hospitals(institutes and stations)is the lowest,general hospitals and maternity and child healthcare hospitals are operating at high efficiency,and all other healthcare institutions are operating at low efficiency;the utilisation of bed resources in various types of healthcare institutions exists in the form of efficiency-type,turn-around-type,bed-pressure-type,and unused-type hospitals at the same time.Conclusion There is an imbalance in the allocation of bed resources in various types of medical and health institutions,with large differences in the operational and utilisation efficiencies of beds;the allocation of bed resources should be continuously optimised.

Objective To analyse the characteristics of spatial distribution of bed resources and bed utilization efficiency of various types of medical and health institutions in Guangxi Province in 2018-2022,and to provide a reference basis for the allocation and management of bed resources of various types of medical and health institutions.Methods Spatial autocorrelation was used to analyse the status of bed allocation in various types of medical and health institutions,and the bed efficiency index and bed utilisation model were used to evaluate the efficiency of bed utilisation.Results Bed resources per 1 000 population vary considerably across types of healthcare organisations and regions.There is no spatial correlation in the overall distribution of bed resources per 1 000 population,but there are different types of aggregation,and there will be little change in the type of aggregation and the place of aggregation from 2018 to 2022.In terms of utilisation efficiency,the bed efficiency index of maternity and child healthcare hospitals is the highest,the bed efficiency index of specialist disease prevention and treatment hospitals(institutes and stations)is the lowest,general hospitals and maternity and child healthcare hospitals are operating at high efficiency,and all other healthcare institutions are operating at low efficiency;the utilisation of bed resources in various types of healthcare institutions exists in the form of efficiency-type,turn-around-type,bed-pressure-type,and unused-type hospitals at the same time.Conclusion There is an imbalance in the allocation of bed resources in various types of medical and health institutions,with large differences in the operational and utilisation efficiencies of beds;the allocation of bed resources should be continuously optimised.

Objective To analyse the characteristics of spatial distribution of bed resources and bed utilization efficiency of various types of medical and health institutions in Guangxi Province in 2018-2022,and to provide a reference basis for the allocation and management of bed resources of various types of medical and health institutions.Methods Spatial autocorrelation was used to analyse the status of bed allocation in various types of medical and health institutions,and the bed efficiency index and bed utilisation model were used to evaluate the efficiency of bed utilisation.Results Bed resources per 1 000 population vary considerably across types of healthcare organisations and regions.There is no spatial correlation in the overall distribution of bed resources per 1 000 population,but there are different types of aggregation,and there will be little change in the type of aggregation and the place of aggregation from 2018 to 2022.In terms of utilisation efficiency,the bed efficiency index of maternity and child healthcare hospitals is the highest,the bed efficiency index of specialist disease prevention and treatment hospitals(institutes and stations)is the lowest,general hospitals and maternity and child healthcare hospitals are operating at high efficiency,and all other healthcare institutions are operating at low efficiency;the utilisation of bed resources in various types of healthcare institutions exists in the form of efficiency-type,turn-around-type,bed-pressure-type,and unused-type hospitals at the same time.Conclusion There is an imbalance in the allocation of bed resources in various types of medical and health institutions,with large differences in the operational and utilisation efficiencies of beds;the allocation of bed resources should be continuously optimised.

Objective To analyse the characteristics of spatial distribution of bed resources and bed utilization efficiency of various types of medical and health institutions in Guangxi Province in 2018-2022,and to provide a reference basis for the allocation and management of bed resources of various types of medical and health institutions.Methods Spatial autocorrelation was used to analyse the status of bed allocation in various types of medical and health institutions,and the bed efficiency index and bed utilisation model were used to evaluate the efficiency of bed utilisation.Results Bed resources per 1 000 population vary considerably across types of healthcare organisations and regions.There is no spatial correlation in the overall distribution of bed resources per 1 000 population,but there are different types of aggregation,and there will be little change in the type of aggregation and the place of aggregation from 2018 to 2022.In terms of utilisation efficiency,the bed efficiency index of maternity and child healthcare hospitals is the highest,the bed efficiency index of specialist disease prevention and treatment hospitals(institutes and stations)is the lowest,general hospitals and maternity and child healthcare hospitals are operating at high efficiency,and all other healthcare institutions are operating at low efficiency;the utilisation of bed resources in various types of healthcare institutions exists in the form of efficiency-type,turn-around-type,bed-pressure-type,and unused-type hospitals at the same time.Conclusion There is an imbalance in the allocation of bed resources in various types of medical and health institutions,with large differences in the operational and utilisation efficiencies of beds;the allocation of bed resources should be continuously optimised.

Objective To analyse the characteristics of spatial distribution of bed resources and bed utilization efficiency of various types of medical and health institutions in Guangxi Province in 2018-2022,and to provide a reference basis for the allocation and management of bed resources of various types of medical and health institutions.Methods Spatial autocorrelation was used to analyse the status of bed allocation in various types of medical and health institutions,and the bed efficiency index and bed utilisation model were used to evaluate the efficiency of bed utilisation.Results Bed resources per 1 000 population vary considerably across types of healthcare organisations and regions.There is no spatial correlation in the overall distribution of bed resources per 1 000 population,but there are different types of aggregation,and there will be little change in the type of aggregation and the place of aggregation from 2018 to 2022.In terms of utilisation efficiency,the bed efficiency index of maternity and child healthcare hospitals is the highest,the bed efficiency index of specialist disease prevention and treatment hospitals(institutes and stations)is the lowest,general hospitals and maternity and child healthcare hospitals are operating at high efficiency,and all other healthcare institutions are operating at low efficiency;the utilisation of bed resources in various types of healthcare institutions exists in the form of efficiency-type,turn-around-type,bed-pressure-type,and unused-type hospitals at the same time.Conclusion There is an imbalance in the allocation of bed resources in various types of medical and health institutions,with large differences in the operational and utilisation efficiencies of beds;the allocation of bed resources should be continuously optimised.