Objective:To investigate the differences in electroencephalographic (EEG) microstate characteristics between children with autism spectrum disorder (ASD) and typically developing (TD) children, and to explore the correlation between irritability and EEG microstate features in ASD children.Methods:A total of 104 children with ASD [ASD group, 83 boys, 21 girls; aged 4-13 years, mean age (9.47±1.74)years] from the Autism Cohort of Nanjing Medical University and 60 TD children [TD group; 50 boys, 10 girls; aged 5-13 years, mean age(9.86±1.78) years ]from the IEEE Dataport database were enrolled. Irritability severity was assessed using the Affective Reactivity Index-Parent (ARI-P). Resting-state EEG data with eyes closed were recorded using a 24-channel dry-electrode EEG cap. Group-level EEG microstate topographic maps and microstate parameters, including mean duration, frequency, and time coverage, were extracted and compared between groups using nonparametric tests. In the ASD group, Spearman correlation analysis was used to examine the associations between microstate features and ARI-P in ASD children. Multiple linear regression was used to identify predictors of irritability.Results:Four group-level microstates (A, B, C, D) were identified in both groups. Compared to TD children, ASD children exhibited significantly longer mean duration for all microstates, in microstates A[ M(Q1, Q3)]: 0.060 (0.054,0.070) vs 0.091 (0.0530, 0.155) s, microstate B: 0.059 (0.050, 0.066) vs 0.087 (0.057,0.149) s, microstate C: 0.059 (0.050, 0.066) vs 0.095 (0.056, 0.183) s and microstate D: 0.055 (0.049,0.075) vs 0.095 (0.053,0.162) s ( Z=-3.51, -4.89, -4.71, -4.21; all P<0.001); However, microstate occurrence frequencies were significantly lower in the ASD group: A: 5.423 (3.640,21.024) vs 1.834 (1.327,3.395) Hz, microstate B: 4.949 (3.439,20.038) vs 2.146 (1.314,3.834) Hz, microstate C: 5.888 (3.998,22.078) vs 2.234 (1.441,3.768) Hz and microstate D: 5.371 (3.170,15.208) vs 2.074 (1.147,3.582) Hz ( Z=-7.72, -6.41, -7.85, -6.60; all P<0.001). In the ASD group, ARI-P scores were positively correlated with the mean duration of microstates B, C, and D ( r=0.28, 0.26, 0.33; all P<0.05) and negatively correlated with the occurrence frequency of microstates A, C, and D ( r=-0.26, -0.27, -0.21; all P<0.05). Multiple linear regression analysis revealed that the mean duration of microstate B was a significant predictor of irritability severity ( β=0.436, 95% CI: 1.260-4.202, P<0.001). Conclusion:Resting-state EEG microstate characteristics in Children with ASD differ from those in TD children and are associated with the severity of irritability. Prolonged duration of microstate B may serve as a risk factor for increased irritability in children with ASD.

Objective:To investigate the differences in electroencephalographic (EEG) microstate characteristics between children with autism spectrum disorder (ASD) and typically developing (TD) children, and to explore the correlation between irritability and EEG microstate features in ASD children.Methods:A total of 104 children with ASD [ASD group, 83 boys, 21 girls; aged 4-13 years, mean age (9.47±1.74)years] from the Autism Cohort of Nanjing Medical University and 60 TD children [TD group; 50 boys, 10 girls; aged 5-13 years, mean age(9.86±1.78) years ]from the IEEE Dataport database were enrolled. Irritability severity was assessed using the Affective Reactivity Index-Parent (ARI-P). Resting-state EEG data with eyes closed were recorded using a 24-channel dry-electrode EEG cap. Group-level EEG microstate topographic maps and microstate parameters, including mean duration, frequency, and time coverage, were extracted and compared between groups using nonparametric tests. In the ASD group, Spearman correlation analysis was used to examine the associations between microstate features and ARI-P in ASD children. Multiple linear regression was used to identify predictors of irritability.Results:Four group-level microstates (A, B, C, D) were identified in both groups. Compared to TD children, ASD children exhibited significantly longer mean duration for all microstates, in microstates A[ M(Q1, Q3)]: 0.060 (0.054,0.070) vs 0.091 (0.0530, 0.155) s, microstate B: 0.059 (0.050, 0.066) vs 0.087 (0.057,0.149) s, microstate C: 0.059 (0.050, 0.066) vs 0.095 (0.056, 0.183) s and microstate D: 0.055 (0.049,0.075) vs 0.095 (0.053,0.162) s ( Z=-3.51, -4.89, -4.71, -4.21; all P<0.001); However, microstate occurrence frequencies were significantly lower in the ASD group: A: 5.423 (3.640,21.024) vs 1.834 (1.327,3.395) Hz, microstate B: 4.949 (3.439,20.038) vs 2.146 (1.314,3.834) Hz, microstate C: 5.888 (3.998,22.078) vs 2.234 (1.441,3.768) Hz and microstate D: 5.371 (3.170,15.208) vs 2.074 (1.147,3.582) Hz ( Z=-7.72, -6.41, -7.85, -6.60; all P<0.001). In the ASD group, ARI-P scores were positively correlated with the mean duration of microstates B, C, and D ( r=0.28, 0.26, 0.33; all P<0.05) and negatively correlated with the occurrence frequency of microstates A, C, and D ( r=-0.26, -0.27, -0.21; all P<0.05). Multiple linear regression analysis revealed that the mean duration of microstate B was a significant predictor of irritability severity ( β=0.436, 95% CI: 1.260-4.202, P<0.001). Conclusion:Resting-state EEG microstate characteristics in Children with ASD differ from those in TD children and are associated with the severity of irritability. Prolonged duration of microstate B may serve as a risk factor for increased irritability in children with ASD.

Objective:This study aims to investigate the prevalence and distribution characteristics of mental disorders among people aged 18 and above in Shandong Province.Methods:In 2015, an epidemiological survey was carried out to investigate the patterns of mental disorders in 49 counties of Shandong Province. A total of 28 000 individuals aged 18 years or older were selected using the multistage stratified cluster sampling method. All these participants were classified as at a high or low risk of mental disorders according to the assessment results of the revised version of the General Health Questionnaire (GHQ). The diagnosis of mental disorders was confirmed using the Structured Clinical Interview for Diagnostic and Statistical Manual, Forth edition (DSM-Ⅳ) axis I or MMSE. All participants at high risk of mental disorders were evaluated using DSM-Ⅳ or MMSE to confirm the psychiatric diagnoses, while 10% of participants at low risk of mental disorders were randomly selected to be evaluated. The prevalence and its 95% confidence interval of mental disorders were adjusted according to study design and sociodemographic characteristics of the sample. The between-group differences of prevalence were compared using chi-square tests or Fisher′s exact tests as appropriately.Results:A total of 27 489 individuals completed survey. The adjusted prevalence of any mental disorder was 17.46% (95 %CI 17.02%-17.89%). The five most prevalent mental disorder spectrums were substance use disorders (5.29%), mood disorders (4.47%), anxiety disorders (4.46%), intellectual and mental disorders due to physical or substance (1.91%), and psychotic disorders (1.12%). The most common mental disorders were alcohol use disorder (5.27%) and major depressive disorder (2.14%). The prevalence of mental disorders in men was higher than that in women (23.37% vs. 13.89%; χ 2=408.91, P<0.01). There was no significant difference in the prevalence of mental disorders between rural residents and urban residents (17.69% vs. 17.20%; χ2=1.05, P=0.305). Of participants with mental disorders, 26.12% (1 047/4 008) had moderate to severe functional impairment and 10.98% (428/3 898) have sought professional help. Conclusion:The prevalence of mental disorders among people aged 18 and above in Shandong Province is basically consistent with the results of similar domestic studies. The prevalence of mental disorder was higher in men than in women and was not differ in participants living in urban and rural areas. Alcohol use disorder, major depressive disorder, non-specific anxiety disorder and non-specific depressive disorder are most common mental disorders.

Objective:This study aims to investigate the prevalence and distribution characteristics of mental disorders among people aged 18 and above in Shandong Province.Methods:In 2015, an epidemiological survey was carried out to investigate the patterns of mental disorders in 49 counties of Shandong Province. A total of 28 000 individuals aged 18 years or older were selected using the multistage stratified cluster sampling method. All these participants were classified as at a high or low risk of mental disorders according to the assessment results of the revised version of the General Health Questionnaire (GHQ). The diagnosis of mental disorders was confirmed using the Structured Clinical Interview for Diagnostic and Statistical Manual, Forth edition (DSM-Ⅳ) axis I or MMSE. All participants at high risk of mental disorders were evaluated using DSM-Ⅳ or MMSE to confirm the psychiatric diagnoses, while 10% of participants at low risk of mental disorders were randomly selected to be evaluated. The prevalence and its 95% confidence interval of mental disorders were adjusted according to study design and sociodemographic characteristics of the sample. The between-group differences of prevalence were compared using chi-square tests or Fisher′s exact tests as appropriately.Results:A total of 27 489 individuals completed survey. The adjusted prevalence of any mental disorder was 17.46% (95 %CI 17.02%-17.89%). The five most prevalent mental disorder spectrums were substance use disorders (5.29%), mood disorders (4.47%), anxiety disorders (4.46%), intellectual and mental disorders due to physical or substance (1.91%), and psychotic disorders (1.12%). The most common mental disorders were alcohol use disorder (5.27%) and major depressive disorder (2.14%). The prevalence of mental disorders in men was higher than that in women (23.37% vs. 13.89%; χ 2=408.91, P<0.01). There was no significant difference in the prevalence of mental disorders between rural residents and urban residents (17.69% vs. 17.20%; χ2=1.05, P=0.305). Of participants with mental disorders, 26.12% (1 047/4 008) had moderate to severe functional impairment and 10.98% (428/3 898) have sought professional help. Conclusion:The prevalence of mental disorders among people aged 18 and above in Shandong Province is basically consistent with the results of similar domestic studies. The prevalence of mental disorder was higher in men than in women and was not differ in participants living in urban and rural areas. Alcohol use disorder, major depressive disorder, non-specific anxiety disorder and non-specific depressive disorder are most common mental disorders.

OBJECTIVE： To evaluate the clinical efficacy and economics of α-lipoic acid injection alone or combined with Mecobalamin injection versus Mecobalamin injection in the adjunctive treatment of diabetic peripheral neuropathy （DPN）. METHODS： Retrieved from PubMed， Cochrane Library， Embase， CNKI， VIP， CBM and Wanfang database， using “mecobalamin” “α-lipoic acid” and“diabetic peripheral neuropathy”as Chinese retrieval words， “Thioctic acid” “α-lipoic acid” “Methylcobal” “Mecobalamin” “Diabetic peripheral neuropathy” as English retrieval words， relevant randomized controlled trials （RCTs） were collected during the date of database establishment to Aug. 30th， 2018. Meta-analysis was conducted for total response rate. From the perspective of health care providers， cost-effectiveness analysis was used for economic evaluation and sensitivity analysis was conducted by a 15％ fluctuation of cost and total response rate. RESULTS： Totally 13 RCTs were included， involving 1 131 patients. The results of Meta-analysis showed that the total response rate of two-drug combination therapy in the treatment of DPN was higher than that of mecobalamin alone [RR＝1.41， 95％CI（1.28， 1.55）， P＜0.000 01]； that of α-lipoic acid injection alone in the treatment of DPN was higher than that of mecobalamin injection alone [RR＝1.35， 95％CI（1.25，1.47）， P＜0.000 01]， with statistical significance. Results of cost-effectiveness analysis showed that the cost-effectiveness ratio （CER） of Mecobalamin injection was 211.38 yuan， and CER of two-drug combination and α-lipoic acid injection alone were 1 484.42 and    1 383.49 yuan， respectively. The incremental cost-effectiveness ratio （ICER） were 4 589.52 and 4 638.82 yuan， which were all lower than per capita GDP in 2017. Sensitivity analysis showed that the cost-effectiveness analysis results kept stable. CONCLUSIONS： Compared with Mecobalamin injection， α-lipoic acid injection combined with Mecobalamin injection in the adjunctive treatment of DPN show high total response rate and economics.