Objective To detect the contingent negative variation (CNV) in first episode deficit and non-deficit schizophrenia and the relationship between CNV and clinical symptoms. Methods Nihon Kohden evoked brain potentials machine were used to measure CNV in 60 patients with non-deficit schizophrenia (NDS), including 50 patients with deficit schizophrenia (DS) and 60 unrelated healthy controls (HC). Click-flashing paradigm was used to record the CNV and the differences among three groups were compared. The clinical status of patients with schizophrenia was determined using the Positive and Negative Syndrome Scale (PANSS). The overall functioning status was assessed using the Global Assessment of Functioning Scale (GAF). Partial correlations were computed to explore associations among the CNV in DS and the clinical data, controlling the sex, age, and education level. Results Compared to HC, both DS and NDS groups showed significantly reduced amplitude of B (F=27.38, P=0.00), significantly delayed reaction time (F=50.30, P=0.00). Compared to HC, the course of PINV in the DS group significantly shortened, while it was significantly delayed in the NDS group (F=15.32, P=0.00). Only in DS, when compared with that in HC, the latency of point A in CNV was delayed (F=61.01, P=0.00). There was no significant difference among three groups in both area of A-S2’ (F=2.34, P=0.10) and area of PINV (F=1.07, P=0.35). Amplitude of B and the course of PINV in the DS group correlated negatively with PANSS subscale of negative symptoms (r= –0.94, –0.89, respectively, Plt;0.05), whereas in the NDS group amplitude of B correlated negatively with PANSS subscale of positive symptoms (r= –0.87, Plt;0.05), but the course of PINV correlated positively with PANSS subscale of positive symptoms (r=0.88, Plt;0.05). Latency of point A in CNV, which was delayed in the DS group, correlated negatively with GAF (r= –0.48, Plt;0.05). Conclusion Generalized abnormalities of CNV existed in DS and NDS, while DS may cause more impairments in CNV than in NDS. The latency of point A in CNV may predict the social function outcomes of DS.
【摘要】 目的 了解全开放管理的急性期精神分裂症患者的抑郁状况，为急性期开放管理提供参考信息。 方法 2009年10-11月，采用卡尔加里精神分裂症抑郁量表（CDSS）对95例精神分裂症患者进行调查。 结果 精神分裂症患者抑郁的发生率为38.95%。且与性别、文化程度、住院次数无关。但与病程密切相关，病程5年以上的患者抑郁状况突出。 结论 精神分裂症患者的抑郁状况明显，需要加强对病情的评估；加强对家属的教育，提高患者的社会支持；早期对患者进行心理干预；以预防自杀的发生。【Abstract】 Objective To find out the depressive situation of patients with schizophrenia in the acute phase under a whole open management, and to provide a scientific basis for the open management. Methods From October to November 2009, 95 patients with schizophrenia were investigated via Calgary depression scale with schizophrenia (CDSS). Results The incidence of depression in patients with schizophrenia was 38.95%, which had no relationship with gender, education level, or frequency of hospitalization. However, the course of the disease was closely related. The depressive symptoms were prominent in patients with the duration more than five years. Conclusion The patients with schizophrenia have obvious depressive symptoms we should. strengthen the evaluation of the disease, improve the family education and the patient′s social support, and implement psychological intervening with patients in the early phase in order to prevent the occurrence of suicide and improve the quality of management.
The clinical manifestations of patients with schizophrenia and patients with depression not only have a certain similarity, but also change with the patient's mood, and thus lead to misdiagnosis in clinical diagnosis. Electroencephalogram (EEG) analysis provides an important reference and objective basis for accurate differentiation and diagnosis between patients with schizophrenia and patients with depression. In order to solve the problem of misdiagnosis between patients with schizophrenia and patients with depression, and to improve the accuracy of the classification and diagnosis of these two diseases, in this study we extracted the resting-state EEG features from 100 patients with depression and 100 patients with schizophrenia, including information entropy, sample entropy and approximate entropy, statistical properties feature and relative power spectral density (rPSD) of each EEG rhythm (δ, θ, α, β). Then feature vectors were formed to classify these two types of patients using the support vector machine (SVM) and the naive Bayes (NB) classifier. Experimental results indicate that: ① The rPSD feature vector P performs the best in classification, achieving an average accuracy of 84.2% and a highest accuracy of 86.3%; ② The accuracy of SVM is obviously better than that of NB; ③ For the rPSD of each rhythm, the β rhythm performs the best with the highest accuracy of 76%; ④ Electrodes with large feature weight are mainly concentrated in the frontal lobe and parietal lobe. The results of this study indicate that the rPSD feature vector P in conjunction with SVM can effectively distinguish depression and schizophrenia, and can also play an auxiliary role in the relevant clinical diagnosis.
ObjectiveTo compare social function of schizophrenic patients of different marriage status and breeding status. MethodsA total of 218 people diagnosed to have schizophrenia between June and December 2013 were investigated. The research instruments included General Status Questionnaire and Social Disability Screening Scale. ResultsMen had no significant difference in social deficit from women (P>0.05). At the onset of the disease, married male patients were better than single male ones in terms of social function retreating and family function (P<0.05); married female patients were better in all aspects of social function than single female ones (P<0.05); male patients with children were better in family function than those without children (P<0.05); female patients without children had much worse social dysfunction than those with children except in the area of activity outside the family (P<0.05); male patients without children had more obvious social dysfunction than those with children except in such areas as little activity within the family, personal care, external interests and concern (P<0.05); single female patients had worse social dysfunction than married ones at present (P<0.05). ConclusionMarried schizophrenic patients with children have better social function.
Objective To investigate the difference in first onset age, family history and medication compliance between male and female patients with schizophrenia in communities. Methods We used self-designed questionnaire to survey and analyze 372 cases of schizophrenia between June to August 2014. Results There were no significant differences between male and female schizophrenic patients in the family history, personality before the disease, education level, age, and the onset type and disease course (P > 0.05). The first onset age of male patients [(24.92±8.22) years] was significantly earlier than female patients [(27.02±11.28) years] and the difference was statistically significant (P < 0.05). The number of unmarried male patients (115, 58.97%) was significantly more than unmarried females (81, 45.76%) and the difference was statistically significant (P < 0.05). The full medication compliance rate of female patients (127, 71.75%) was significantly better than that of male patients (115, 58.97%) (P < 0.05). Conclusion The first onset age, marital status and medication compliance are significantly different between the two genders of patients with schizophrenia, which indicates that prevention, treatment and recovery measures for male and female patients should be differentiated.
ObjectiveTo explore family care and its influence on the life quality of schizophrenia patients. MethodsBetween September 2011 and March 2012, 101 schizophrenia patients were investigated with Questionnaire of Family Care and Quality of Life Inventory and were divided into two groups in order to compare their life quality. According to the scores of Questionnaire of Family Care, 56 subjects were in support group and 45 subjects were in control group. ResultsAmong the 101 patients, 55.45% had good family care and 44.55% had not. In the support group, there was no significant correlation between family care and life quality in the first month and the third month (r=0.023, P=0.894; r=-0.072, P=0.587), while there was a significant correlation between family care and life quality in the sixth month (r=-0.322, P=0.032). In the control group, there was no significant differences in the score of family care and life quality in the first, third and sixth month (r=0.021, P=0.893; r=0.114, P=0.482; r=1.863, P=0.226). ConclusionLong-term family care is significantly correlated with the life quality of schizophrenia patients. If schizophrenic patients get more poor family care, they will have lower life quality. It's important to create a good and comfortable environment for the patients.