Objective:To investigate the impact of the development of the digital economy on the unfair of healthcare resource allocation in China.Methods:The sample data from 23 provinces across the country from 2015 to 2021 were tested using econometric regression.Results:It is found that the development of the digital economy will exacerbate the unfairness of the allocation of medical and health resources in China.Further analysis results show that there are regional differences in the impact of digital economy on the distribution of medical resources,which is mainly manifested in the central and western regions,but weaker in the eastern region,and this impact will weaken with the improvement of the development level of digital economy.At the same time,it also explores the possible influencing mechanisms.It is found that due to the demand-oriented allocation of medical and health resources,the development of digital economy will lead to more unfair allocation of medical resources by affecting economic level,education level and income gap.Conclusion:In the face of the challenges brought by the digital economy to the allocation of medical and health resources,effective measures need to be taken to solve them,thus laying a solid foundation for achieving the goals of comprehensive health coverage and common prosperity.

As a new type of rapid antidepres-sant,ketamine has provided a new approach for the treatment and research on the pathological mechanism of major depressive disorder.However,the addictive potential and neurotoxicity of ket-amine have become issues that cannot be ignored in clinical medication.This article briefly introduces the relevant research progress on ketamine addic-tion and neurotoxicity mechanisms at home and abroad,hoping to provide a reference for the ratio-nal development and utilization of ketamine.

Objective:To investigate the impact of the development of the digital economy on the unfair of healthcare resource allocation in China.Methods:The sample data from 23 provinces across the country from 2015 to 2021 were tested using econometric regression.Results:It is found that the development of the digital economy will exacerbate the unfairness of the allocation of medical and health resources in China.Further analysis results show that there are regional differences in the impact of digital economy on the distribution of medical resources,which is mainly manifested in the central and western regions,but weaker in the eastern region,and this impact will weaken with the improvement of the development level of digital economy.At the same time,it also explores the possible influencing mechanisms.It is found that due to the demand-oriented allocation of medical and health resources,the development of digital economy will lead to more unfair allocation of medical resources by affecting economic level,education level and income gap.Conclusion:In the face of the challenges brought by the digital economy to the allocation of medical and health resources,effective measures need to be taken to solve them,thus laying a solid foundation for achieving the goals of comprehensive health coverage and common prosperity.

As a new type of rapid antidepres-sant,ketamine has provided a new approach for the treatment and research on the pathological mechanism of major depressive disorder.However,the addictive potential and neurotoxicity of ket-amine have become issues that cannot be ignored in clinical medication.This article briefly introduces the relevant research progress on ketamine addic-tion and neurotoxicity mechanisms at home and abroad,hoping to provide a reference for the ratio-nal development and utilization of ketamine.

Objective:A nationwide multi-center and large sample survey was conducted to compare the validity of the Mini International Neuropsychiatric Interview (Hypo-) Manic Episode with Mixed Features-DSM-5 Module (MINI-M) questionnaire and the Clinically Useful Depression Outcome Scale Supplemented with Questions for the DSM-5 Mixed Features Specifier (CUDOS-M) depression subscale in identifying mixed features in patients experiencing (hypo-) manic episodes.Methods:Using a convenience sampling method, 366 patients with bipolar disorder experiencing acute (hypo-) manic episodes who met the inclusion and exclusion criteria were recruited. The diagnosis of "with mixed features" was based on the DSM-5 criteria for mixed features. The predictive validity of the MINI-M questionnaire and the CUDOS-M depression subscale to screen mixed features was analyzed using the receiver operating characteristic (ROC) curve. Additionally, the difference in area under the ROC curve (AUC) between the two instruments was compared.Results:The AUC for the MINI-M questionnaire and the CUDOS-M depression subscale in screening mixed features were 0.79 (95 %CI=0.75-0.84) and 0.81 (95 %CI=0.77-0.86), respectively. There was no statistically significant difference in AUC between the two measurements ( Z=-1.19, P>0.05). Among patients with acute (hypo-) manic episodes, 45.9% (168/366) presented with mixed features according to the DSM-5 criteria, while the corresponding figures were 43.7% (160/366) using the MINI-M questionnaire (total score≥3) and 42.1% (154/366) using the CUDOS-M depression subscale (total score≥20). Screening results were comparable among the three measures. Conclusion:Mixed features are common among patients experiencing acute (hypo-) manic episodes. The MINI-M questionnaire and the CUDOS-M depression subscale demonstrate equivalent validity in identifying mixed features.

Objective:A nationwide multi-center and large sample survey was conducted to compare the validity of the Mini International Neuropsychiatric Interview (Hypo-) Manic Episode with Mixed Features-DSM-5 Module (MINI-M) questionnaire and the Clinically Useful Depression Outcome Scale Supplemented with Questions for the DSM-5 Mixed Features Specifier (CUDOS-M) depression subscale in identifying mixed features in patients experiencing (hypo-) manic episodes.Methods:Using a convenience sampling method, 366 patients with bipolar disorder experiencing acute (hypo-) manic episodes who met the inclusion and exclusion criteria were recruited. The diagnosis of "with mixed features" was based on the DSM-5 criteria for mixed features. The predictive validity of the MINI-M questionnaire and the CUDOS-M depression subscale to screen mixed features was analyzed using the receiver operating characteristic (ROC) curve. Additionally, the difference in area under the ROC curve (AUC) between the two instruments was compared.Results:The AUC for the MINI-M questionnaire and the CUDOS-M depression subscale in screening mixed features were 0.79 (95 %CI=0.75-0.84) and 0.81 (95 %CI=0.77-0.86), respectively. There was no statistically significant difference in AUC between the two measurements ( Z=-1.19, P>0.05). Among patients with acute (hypo-) manic episodes, 45.9% (168/366) presented with mixed features according to the DSM-5 criteria, while the corresponding figures were 43.7% (160/366) using the MINI-M questionnaire (total score≥3) and 42.1% (154/366) using the CUDOS-M depression subscale (total score≥20). Screening results were comparable among the three measures. Conclusion:Mixed features are common among patients experiencing acute (hypo-) manic episodes. The MINI-M questionnaire and the CUDOS-M depression subscale demonstrate equivalent validity in identifying mixed features.

【Objective】 To study the changes of platelet components(PC), apheresis platelets (AP) and pooled platelet concentrates (PPC) production of 19 provincial blood centers before and during the COVID-19 epidemic. 【Methods】 The data related to the collection of AP and the preparation of PPC from 2016 to 2021 of 19 provincial blood centers was collected. The production of PC, AP and PPC during the four years before the epidemic (i.e. 2016-2019) and during the COVID-19 epidemic (i.e. 2020 and 2021) were calculated respectively, and the change of production was analyzed. 【Results】 The total production of PC in 19 blood centers steadily increased from 2016 to 2019, with a decrease of 4.16% in 2020 and an increase of 15.60% in 2021, exceeding the output before the COVID-19 epidemic. In 2020, the production of PC of 42.11% (8/19) blood centers decreased compared with 2019, while 94.74% (18/19) in 2021 increased compared with 2020. The changes of AP output was basically consistent with the trend of PC. The total production of PPC in 2017 and 2018 both doubled compared to the previous year, while decreased by 67.98% in 2019, increased by 30.38% in 2020 and decreased by 27.08% in 2021. 【Conclusion】 The total production of PC kept increasing steadily between 2016 and 2019, but decreased in 2020 under the COVID-19 epidemic, with some blood centers being significantly affected. In 2021, with the strong support from government and various measures by blood centers, the total production of PC increased.

Objective:This study investigates the difference in the detection rate and symptomatology between ICD-10 and DSM-5 diagnostic criteria for bipolar disorder with mixed states.Methods:Based on the Phase Ⅰ (2012) and Phase Ⅱ (2021) databases of National Bipolar Mania Pathway Survey (BIPAS), patients with bipolar disorder were included. General demographic data, clinical characteristics, symptomatic phenotypes, and mixed characteristics were retrieved. The detection rates and symptomatic performances of patients with or without mixed states in Phase Ⅰ and Ⅱ were compared using the chi-square test.Results:For patients with mixed states, the detection rate during Phase Ⅱ (2021) using DSM-5 (18.79%, 199/1 059) criteria was significantly higher than that during Phase Ⅰ (2012) using ICD-10 (6.78%, 199/2 934; χ 2=125.05, P<0.001). Whether using ICD-10 or DSM-5 criteria, patients with mixed states had a significantly higher frequency of multiple symptomatic manifestations. Conclusion:The DSM-5 diagnostic criteria generate a high detection rate for bipolar disorder with mixed states. The clinical phenotypes of bipolar disorder with mixed states vary significantly using different diagnostic tools.

Objective:This study investigates the difference in the detection rate and symptomatology between ICD-10 and DSM-5 diagnostic criteria for bipolar disorder with mixed states.Methods:Based on the Phase Ⅰ (2012) and Phase Ⅱ (2021) databases of National Bipolar Mania Pathway Survey (BIPAS), patients with bipolar disorder were included. General demographic data, clinical characteristics, symptomatic phenotypes, and mixed characteristics were retrieved. The detection rates and symptomatic performances of patients with or without mixed states in Phase Ⅰ and Ⅱ were compared using the chi-square test.Results:For patients with mixed states, the detection rate during Phase Ⅱ (2021) using DSM-5 (18.79%, 199/1 059) criteria was significantly higher than that during Phase Ⅰ (2012) using ICD-10 (6.78%, 199/2 934; χ 2=125.05, P<0.001). Whether using ICD-10 or DSM-5 criteria, patients with mixed states had a significantly higher frequency of multiple symptomatic manifestations. Conclusion:The DSM-5 diagnostic criteria generate a high detection rate for bipolar disorder with mixed states. The clinical phenotypes of bipolar disorder with mixed states vary significantly using different diagnostic tools.

【Objective】 To investigate the establishment of multi-center haemovigilance (HV) and the monitoring of adverse reactions to blood donation (ARBD), in order to provide basis for the management of blood donors. 【Methods】 The operation of HV was investigated by questionnaire. The total number of blood donations (including plateletpheresis) and ARBD cases occurred in each blood center from 2014 to 2018 were analyzed. 【Results】 Among the 24 blood centers in this survey, only nine got HV operated. The incidence of ARBD of 19 blood centers that fulfilled the questionnaire was in the range of (0.003~1.151) %. The change trend of number and incidence of ARBD cases were indeterminate. 【Conclusion】 Most blood centers did not got HV established. The incidence of ARBD varied greatly and was indeterminate. The application of HV should be further improved to strengthen ARBD management.