A 48-year-old female presented with a one-week history of painful and enlarged lymph nodes in the left neck.One-week systemic treatment with antibiotics resulted in no obvious improvement.Skin examination revealed palpable lymph nodes between the left lateral cervical papillae and clavicle,which appeared as a string of beads with a little mobility and obvious tenderness.The largest diameter of enlarged lymph nodes was about 2 cm.No enlarged lymph nodes were palpable in the other body sites.Histopathologically,histiocytes of various shapes,immunoblasts and plasmacytoid monocytes markedly proliferated with different degrees of karyorrhexis.Immunohistochemistry revealed that the lesions were positive for CD3,CDS,CD68,mouse macrophage inflammatory protein,and CD20.A diagnosis of histiocytic necrotizing lymphadenitis was made.

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 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.

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

Objective To investigate the abnormal change of gray matter volume in patients with euthymic bipolar disorder Ⅰ (BD-Ⅰ),and to elucidate the relationship between the use of different mood stabilizers and brain structure variations.Methods Voxel-based morphometry (VBM) was used to analyze the volume of local gray matter in 35 patients with BD-Ⅰ and 30 healthy controls(HC).The patients were divided into BD-Ⅰ with lithium group and BD-Ⅰ with valproate group according to different mood stabilizers.The volume differences of gray matter of the three groups were compared by one-way ANOVA.Results Compared with HC,BD-Ⅰ patients showed significantly reduced gray matter volume in the medial frontal cortex (MNI (x,y,z):2,34,-18),orbital frontal cortex (MNI(x,y,z):-32,22,-4),frontal operculum (MNI(x,y,z):38,18,4) and insula cortex (MNI(x,y,z):-32,22,-4) (P＜0.05).There was no significant difference in thevolume of gray matter between BD-Ⅰ with lithium group and BD-Ⅰ with valproate group(P＞0.05).Conclusion Emotional disturbance in patients with BD-Ⅰ may be associated with reduced gray matter volume in the medial frontal cortex,orbital frontal cortex,frontal operculum and insula cortex.There are not significant difference about the effects of lithium carbonate and valproate on cerebral gray matter volume in patients with BD-Ⅰ.

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 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.

Major depressive disorder (MDD), also referred to as depression, is one of the most common psychiatric disorders with a high economic burden. The etiology of depression is still not clear, but it is generally believed that MDD is a multifactorial disease caused by the interaction of social, psychological, and biological aspects. Therefore, there is no exact pathological theory that can independently explain its pathogenesis, involving genetics, neurobiology, and neuroimaging. At present, there are many treatment measures for patients with depression, including drug therapy, psychotherapy, and neuromodulation technology. In recent years, great progress has been made in the development of new antidepressants, some of which have been applied in the clinic. This article mainly reviews the research progress, pathogenesis, and treatment of MDD.

A correction to this paper has been published: https://doi.org/10.1007/s12264-021-00694-9.