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.

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 explore the clinical application value of extended detection method for Y chromosome azoospermia factor (AZF) microdeletion in hereditary infertility and sexual development disorders.Methods:Multiplex polymerase chain reaction(PCR) combined with agarose gel electrophoresis method, combined fluorescence multiplex PCR capillary electrophoresis DNA fragment analysis technique and chromosome karyotype analysis technique were used to detect an infertility patient who visited the Reproductive Center of Henan Provincial People's Hospital in March 2020 (patient 1) and a child with sexual dysplasia who visited the Endocrinology Department of Henan Provincial People's Hospital in June 2020 (patient 2).Results:We found no AZF microdeletions on the Y-chromosome of the two patients to detect 15 sequence tagged site (STS) sequences. To detect the 27 genetic markers, it was found that in patient 1 the amplification peak of the STS locus on the long arm of the X chromosome was nearly three times as much as the amplification peak of the short arm of the X chromosome (Xqp), the STR quality control loci on the long arm of the X chromosome had two peaks, and the ratio was about 2∶1 (GATA31E08 and DXS6809), and the ratio of the amplification peak of the long arm of the X chromosome to that of the autosome at the TAF9b locus was about 3∶2. Patient 1 might have an abnormal copy number of long arm of X chromosome. In patient 2, the ratio of the amplification peak of C03Yp, TAF9b, C01Yq and C11Xp on the X chromosome or Y chromosome to the amplification peak of autosomes was about 1∶1, and the amplification peak of the STR quality control site on the X chromosome was two peaks, and the ratio was about 1∶1 (GATA31E08 and DXS6795). Patient 2 might have abnormal X and Y chromosome copy numbers. The results of karyotype analysis showed that the karyotype of patient 1 was 47, XY, i(X)(q10); the karyotype of patient 2 was 48, XXYY, which was consistent with the results of AZF microdeletion extension test.Conclusion:Compared with the traditional AZF detection method, this extended detection method can not only meet the needs of AZF detection, but also indicate abnormal copy number of sex chromosomes. Compared with the karyotype analysis technology, it has the characteristics of simple operation and can reduce the cost and workload of clinical testing.