摘要:目的: 观察免费治疗社区精神分裂症患者的疗效。 方法 :纳入贫困家庭精神分裂症患者140例,随机分为免费服药组和对照组,每组70例。随访1年,采用精神分裂症阳性与阴性症状量表(PANSS)\社会功能缺陷量表(SDSS)等评估。 结果 :对实验组与对照组的基线、6个月后及1年后随访的PANSS总分、各因子分、SDSS总分分别进行比较,结果显示基线、6月后均无统计学差异;1年后SDSS总分、PANSS总分、阳性因子分、一般病理因子、思维障碍、偏执因子分差异有显著性;免费治疗组1年后各指标与入组前相比分值降低(P＜001)。 结论 :精神分裂症患者免费服药后精神症状缓解明显,同时其社会功能缺陷也得到改善。Abstract: Objective: To observe the effect of the free treatment on schizophrenics from community. Methods : Totally 140 subjects from poor family were divided into the free treated group and the control group at random. They were followed up for 1 year. The treatment effects were evaluated by PANSS and SDSS. Results : There were no significant difference in all examinations at baseline and after 6 months; at the following end point, significant difference existed in the score of SDSS, the total scores of the PANSS, the positive factor, the general pathology factor, the thinking factor and the paranoid ideation factor between two groups. There was decrease in the scores for all examinations in the free treated group. Conclusion : The symptoms of schizophrenics by free treatment relieve significantly, and the social function improves.
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.
Objective To systematically review the health state utility values in patients with schizophrenia, and to provide references for subsequent studies on the health economics of schizophrenia. Methods The PubMed, EMbase, The Cochrane Library, Web of Science, CNKI, WanFang Data, and VIP databases were searched from inception to December 1st, 2021 to collect studies on health state utility values in patients with schizophrenia. Two reviewers independently screened literature, extracted data, and assessed the risk of bias of the included studies. Meta-analysis was then performed by Stata 15.0 software. Results A total of 19 studies were included. Patients’ utility values were 0.68 (95%CI 0.59 to 0.77) for direct measures, and 0.77 (95%CI 0.75 to 0.80) and 0.66 (95%CI 0.61 to 0.70) for indirect measures with the EQ-5D-5L and EQ-5D-3L as the primary scales. Utility values varied with measures, tariffs, regions, and populations. Conclusion Studies on health state utility value in schizophrenia are diversified in measurement methods, showing high inter-study heterogeneity. Therefore, it is necessary to promote the study on utility value measurement in schizophrenia in China.
Objective To investigate the effect of nursing practice on the treatment compliance in schizophrenic inpatients.Methods A total of 196 inpatients with schizophrenia met the inclusion and exclusion criteria were randomly divided into two groups: the rountine nursing group (n=96) and the trial group (n=100). The trial group followed the paths of evidence-based nursing by confirming the affected facts of compliance, collecting the evidence, evaluating the evidence and incorporating this into nursing practice. The change of compliance was evaluated and two groups were scored by NOSIE-30 and BPRS at the beginning and 3 months later, respectively.Results The trial group had a significant improvement (Plt;0.05) on using the chosen treatment and had a lower relapse rate. Conclusions Implementing evidence-based nursing practice has a positive effect on the compliance with treatment of inpatients with schizophrenia.
【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.