Bipolar disorder (BD) is a chronic mental illness with high recurrence rate and disability. As one of the core symptoms, cognitive impairment may occurs at every stage of the disease. Evidence from the neuroimaging studies revealed that the abnormal brain volumes, the blood flow and oxygen saturation of key brain areas are related to executive impairment in patients with bipolar disorder. This article reviews current structural and functional neuroimaging studies about the executive impairment of patients with euthymic bipolar disorder and research progresses.

Objective To estimate the incentive and guidance of degree policy for the doctoral student's capacity-building. Methods Totally 1185 published SCI papers completed by 1 013 doc-toral students from 2008 to 2012 in Capital Medical University were filed and impact factors of these SCI journals taken as analysis objects were organized using Microsoft Office Excellsoftware. ANOVA was used for data procession and t-test was used for statistical analysis. P<0.05 signifies statistically significant difference. Results This study showed that 97%doctoral students can complete SCI paper publication in compliance with requirements of doctoral degree policy. Quality of SCI papers of aca-demic degree PhDs was higher than that of professional degree PhDs(P=0.00). Level of SCI papers of PhDs in basic disciplines was higher than that of PhDs in clinical disciplines (P=0.00). In addition, this study found that higher leveled SCI papers originated primarily from the national key disciplines and co-first authors. Conclusions The appropriate degree policies play an important guiding role in enhancing the quality of doctoral students' education. Degree-granting units should make more specific guidance policies according to different types of disciplines and cultures, such as raising published arti-cle requirements to the clinical professional PhDs, improving and standardizing relevant degree poli-cies about SCI papers published by co-first authors, strengthening disciplinary conditions building, etc.

Objective To explore the relationship between ERG4 gene overexpression and azole resistance in clinical Candida albicans strains. Methods The National Committee for Clinical Laboratory Standards (NCCLS)M27-A2 broth microdilution method was conducted to evaluate antifungal susceptibility of 34 clinical Candida albicans isolates in vitro. Total RNA was extracted from these Candida albicans strains and transcribed into cDNA. Real-time fluorescence-based quantitative PCR was performed to determine the mRNA expression of ERG4 gene. Statistical analysis was carried out by a two-sample t-test. Results The expression level of ERG4 mRNA was significantly higher in fluconazole-resistant than in -sensitive Candida albicans strains (4.20 ± 2.56 vs. 1.72 ± 1.33, t = 3.99, P < 0.05), higher in itraconazole-resistant than in -sensitive Candida albicans strains (3.60 ± 2.47 vs. 1.66 ± 1.61, t = 3.71, P < 0.05), and higher in voriconazole-resistant than in -sensitive Candida albicans strains (3.99 ± 2.72 vs. 2.07 ± 1.58, t = 2.91, P <0.05). Further more, increased ERG4 mRNA expression was also observed in isolates cross-resistant to all the three azole antifungal agents compared with those susceptible to all of them (4.49 ± 2.73 vs. 1.69 ± 1.82, t = 3.81, P < 0.05). Conclusions The overexpression of ERG4 gene may be associated with cross resistance to fluconazole, itraconazole and voriconazole in clinical Candida albicans strains, but its exact role is expected to be investigated through downregulation of the ERG4 gene.

Objective:To explore the clinical characteristics and treatment of a family with inherited generalized epilepsy with febrile seizures plus (GEFS + ) caused by the KCNT2 gene mutation and review the literature. Methods:Clinical data of a child with GEFS + and his family members who visited Department of Pediatric Neurology, Guangzhou Women and Children′s Medical Center in May 2019 were collected.DNA samples were collected from the peripheral blood of the proband, his parents, his elder brother, and his maternal grandparents, and genetic analysis and verification were performed using the next-generation sequencing technique.Using " KCNT2" as the key word, literature was retrieved from PubMed, China National Knowledge Infrastructure and Wanfang databases (up to August 2019). Results:The proband was a 3-year-old boy who was admitted to Guangzhou Women and Children′s Medical Center because of frequent epileptic seizures in the past 5 months.He presented with a binocular gaze and experienced 3 to 8 times of extremities myoclonic-spastic epileptic attacks every day.He had a history of 3 times of febrile seizures at the age of 2 years old.His seizures were refractory to Sodium valproate, Topiramate, Nitrazepam and Levetiracetam.His elder brother and mother had a history of childhood febrile seizures.Other members in the family had no history of convulsion.Ictal electroencephalogram showed general 1 Hz high voltage spike-slow waves.A heterozygous nonsense mutation of KCNT2 gene c. 574C>T(p.Q192X) that was never reported previously was detected in the proband, his brother, mother and maternal grandmother.Furthermore, no other family members carried the mutation at the c. 574 locus of the KCNT2 gene.No article in Chinese was found, and 2 articles in a language other than Chinese provided the complete data of 3 sporadic cases.Together with 4 cases in the family studied in this article, there were 7 cases and 4 mutation sites in KCNT2 gene.Of these mutations, there were 3 missense mutations and 1 nonsense mutation.Three sporadic patients presented with early infantile epileptic encephalopathy.The family of this study was characterized with febrile seizures and febrile seizures plus. Conclusions:A de novo mutation and phenotype of the KCNT2 gene is found in a family with GEFS + .It would expand the gene mutation spectrum and provide basis for family genetic counseling. KCNT2 mutation induced GEFS + is refractory to antiepileptic drugs.

Objective To analyze the risk factors of socio-demographic and clinical characteristics related to anxious symptoms in bipolar depression patients(BDP).Methods This was a secondary analysis of data from the Diagnostic Assessment Service for People with Bipolar Depression in China(DASP)from September 1,2010 to February 28,2011.According to the criterion that comorbid anxiety or not, BDP(n=306)were divided into comorbid anxiety group(n =200)(65.4％)and without anxiety group(n =106)(34.6％).Further analysis for risk factors of anxious symptoms in BDP was performed by the multivariate logistic regression analysis.Results BDP with anxiety were younger(35.10± 11.09), younger at illness onset(27.93-± 10.04), ruore male(t =4.603, P＜0.05), more lifetime episodes(3.21 ± 3.77), frequently episodes(t =17.328,P＜0.05),inducement onset(t=14.859,P＜0.05)and more seasonal episodes(t=8.300,P＜0.05)compared with BDP without anxiety.Logistic regression analysis showed that inducement onset(OR=5.023)and episodes frequency(OR=10.852)was significantly associated with anxious symptom(P＜0.05).Conclusion The finding indicates that postpartum onset and depressive episodes frequency may be risk factors of bipolar depression with anxiety.

Objective To analyze the risk factors of socio-demographic and clinical characteristics related to sui?cide risk in misdiagnosed bipolar disorderⅡ(BPⅡ) treated for major depressive disorder. Methods A total of l478 con?secutive major depressive disorder patients were interviewed with the Mini International Neuropsychiatric Interview (MINI) in 13 major mental health centers in China. Of the 1478 patients, 190 patients were diagnosed BPⅡ, who were divided into two groups (nonsuicidal risk and suicidal risk) with the suicidality module of MINI. Logistic regression was performed to evaluate significant risk factors associated with suicide risk in misdiagnosed BPⅡtreated for major depres?sive disorder. Results Of the 190 patients, 116 were in the nonsuicidal risk group and 74 were in the suicidal risk group. In comparison to the nonsuicidal risk group, the suicidal risk group had younger age [(34.45 ± 11.18) vs.(37.23 ± 13.22), P=0.008], earlier age at onset [(26.20 ± 9.16) vs. (30.37 ± 11.59), P=0.007], and more suicidal ideation (82.4%vs. 53.4%, P=0.001). Logistic regression analysis showed that age (OR=0.969,95% CI:0.945~0.993) and depressive epi?sodes with suicidal ideation (OR=4.129,95%CI:2.030~8.397) were significantly associated with suicide risk in patients of misdiagnosed BPⅡtreated for major depressive disorder (P<0.05). Conclusions Younger age, severer suicidal ide?ation may be potential independent risk factors to suicide risk in BPⅡwith misdiagnosed with major depressive disor?der.

Objective To analyze the risk factors of socio-demographic and clinical characteristics related to sui?cidal attempt in major depressive disorder (MDD) patients with anxious characteristics. Methods Based on the anxious module of Mini International Neuropsychiatric Interview (MINI), a total of 728 anxious MDD patients from 13 major men?tal health centers in China were classified as suicidal and non-suicidal attempt groups. Further analyses regarding risk factors of suicidal attempt in anxious MDD patients were performed by the multivariate logistic regression analysis. Re?sults Among the 728 patients with anxious MDD analyzed, 135 (18.5%) of them had suicidal attempt and 593 (81.5%) had non-suicidal attempt. Compared to the non-suicidal attempt group, patients with suicidal attempt had significantly earlier age onset[(32.3 ± 11.9) vs. (35.3 ± 13.1)], more lifetime depression episodes (median:2 vs. 2), more number of ad?missions (median: 1 vs. 0), more frequent depressive episodes (14.8% vs. 7.4%), more atypical characteristics (25.9%vs.15.0%), more suicidal ideation (78.5%vs. 50.3%) and more antidepressant use (81.5%vs. 71.2%). Logistic regression analysis showed that number of admissions (OR=1.18, 95%CI:1.02~1.37), frequent depressive episodes (OR=2.10, 95%CI:1.14~3.68), depressive episodes with suicidal ideation (OR=3.55, 95%CI:2.28~5.54) were associated with suicidal at?tempt in MDD patients with anxious characteristics (P<0.05). Conclusions More number of admissions, more frequent depressive episodes, comorbid suicidal ideation may be risk factors of suicidal attempt in anxious MDD patients.

Objective:To compare the suicidality risk in major depressive disorder (MDD)patients with and without anxious characteristics,and analyze the risk factors of suicidality in MDD patients. Methods:This was a secondary analysis of the data from the Diagnostic Assessment Service for people with Bipolar Disorders in China (DASP),which was initiated by the Chinese Society of Psychiatry (CSP),from September 1,2010 to February 28, 201 1. Based on the anxious module and suicide module of Mini International Neuropsychiatric Interview (M. I. N. I),1 172 MDD patients were classified as suffering from anxious MDD (n=728,62. 1%)and non-anxious MDD(n=444,37. 9%). Logistic regression was employed to examine the risk factors of suicidality in MDD pa-tients. Results:Among the anxious MDD patients,331 (45. 5%)of them had suicidality risk. And 54(12. 2%)of non-anxious MDD patients had suicidality risk. Compare to the non-anxious group,the anxious MDD patients had significantly higher suicidality risk (P<0. 00 1 ). Logistic regression analysis showed that more frequent depressive episodes (OR=2. 07 ),depressive episodes with psychotic symptoms (OR=2. 0 1 ),comorbid with anxious charac-teristics (OR=3. 18)or melancholic characteristics (OR=2. 90)were associated with suicidality risk in patients with MDD. Conclusion:It indicates that the anxious MDD patients may have higher suicidality risk than non-anx-ious MDD patients,and more frequent depressive episodes,depressive episodes with psychotic symptoms,comorbid with anxious characteristics or melancholic characteristics may be risk factors of suicidality in patients with MDD.

Objective To explore the attempted suicide risk factors of socio-demographic and clinical charac-teristics in major depressive disorder patients with atypical features (e.g. increased appetite, weight gain and greater time spent sleeping). Methods This was a secondary analysis of the data from the Diagnostic Assessment Service for People with Bipolar Disorders in China (DASP), which was initiated by the Chinese Society of Psychiatry (CSP) and carried out in 13 major mental health centers in China. Totally 179 patients were diagnosed as atypical major depres-sive disorder patients in all 1172 major depressive disorder patients using Diagnostic and Statistical Manual of Mental Disorder, Fourth Edition (DSM-Ⅳ) by psychiatrists. Suicide attempters and nonattempters were grouped base on the interview results of suicidality module of the Mini International Neuro-psychiatric Interview (MINI). Multiple logistic regression were used to assess association between independent variables and attempted suicide in major depressive disorder patients with atypical features. Results The rater of attempted snicide was 23.5% (42/179) of atypical major depressive disorder patients reported prior or current attempted suicide. Compared to nonattempters, attempters had higher levels of suicidal ideation, postpartum depressive episodes, and the use of antipsychotic, mood stabilizers and benzodiazepines (P<0.05). Logistic regression analysis showed that number of admissions (OR=1.73, 95% CI: 1.093~2.740) and depressive episodes with suicidal ideation (OR=3.90, 95%CI: 1.506~10.092) were significantly associat-ed with attempted suicide in atypical unipolar depression patients (P<0.05). Conclusions High number of admissions and high levels of suicidal ideation may be considered as potential risk factors to identify atypical unipolar depression patients at risk for future suicidal behavior.

Wearable devices are used in the new design of the maternal health care system to detect electrocardiogram and oxygen saturation signal while smart terminals are used to achieve assessments and input maternal clinical information. All the results combined with biochemical analysis from hospital are uploaded to cloud server by mobile Internet. Machine learning algorithms are used for data mining of all information of subjects. This system can achieve the assessment and care of maternal physical health as well as mental health. Moreover, the system can send the results and health guidance to smart terminals.
Algorithms ; Clothing ; Electrocardiography ; Equipment Design ; Female ; Humans ; Internet ; Machine Learning ; Maternal Health ; Monitoring, Ambulatory ; instrumentation ; Telemedicine ; instrumentation