ObjectiveTo integrate person imagery from drawing tests in screening for mental disorders through meta-analysis to identify indicators that can effectively predict mental disorders. MethodsA computerized search of CNKI, WanFang Data, VIP, PubMed, Web of Science, and EBSCO databases was conducted to collect studies related to mental disorders and drawing tests, with a search timeframe of the period from the creation of the database to May 8, 2023. Meta-analysis was performed using CMA 3.0 after two researchers independently screened the literature, extracted information, and assessed the risk of bias. ResultsA total of 43 studies were included, with 791 independent effect sizes and 8 444 subjects. Meta-analysis revealed that a total of 29 person imagery traits significantly predicted mental disorders, which could be categorized into 7 types according to the features: absent, bizarre, blackened, simplified, static, detailed, and holistic. The subgroup analysis revealed that the specific indicators of affective disorders included "excessive separation among items", "oversimplified person", "rigid and static person" and "hands behind the back". The specific indicators of thought disorders were "absence of limbs", "absence of facial features" and "disproportionate body proportions". Moreover, there were seven common indicators of mental disorders, including "oversimplified drawing", "very small drawing", "very small person", "weak or intermittent lines", "single line limb", "absence of hands or feet" and "no expression or dullness''. ConclusionThe findings could provide a reference standard for selection and interpretation of drawing indicators, promote standardization of the drawing test, and enhance the accuracy of results in screening for mental disorders.
The interaction mechanism between mental disorders and diabetes is complex, involving genetics, endocrine metabolism, inflammation, oxidative stress and other aspects, which makes it difficult to treat patients with mental disorders complicated by diabetes. Such patients mostly use drugs and non-drug interventions to relieve symptoms of mental disorders and improve blood sugar levels, but the mechanism of mental disorders and diabetes needs to be systematically summarized and needs practical means to intervene. This article starts with the pathogenesis of diabetes and then describes the interaction mechanism of schizophrenia, bipolar disorder, depression and diabetes in detail. Finally, the intervention measures for patients with mental disorders complicated by diabetes are summarized, which aims to provide a reference for medical staff engaged in related work.
ObjectiveTo explore the related factors and nursing countermeasures for psychonosema in postoperative laryngeal cancer patients. MethodsWe retrospectively analyzed the clinical data of eight patients who accepted laryngectomy and developed psychonosema from January 2008 to April 2013. The related factors for psychonosema in these patients were analyzed and nursing countermeasures were summarized. ResultsEight patients had different degree of psychonosema, and it was correlated with psychological factors, various channels of undesirable stimulation, sleep disorders, drug and other factors. After treatment and careful nursing, within three to seven days, all patients' abnormal mental symptoms were alleviated, and all of them were discharged. ConclusionThere are many factors which can cause psychonosema after laryngectomy for laryngeal carcinoma. Medical staff should try to reduce or avoid inducing factors. Once it happens, medical staff should carry out psychiatric treatment in time to avoid accidents and promote the rehabilitation of patients.
ObjectiveTo systematically review the efficacy of different drugs for patients with methamphetamine-induced psychotic disorders by network meta-analysis.MethodsAn electronical search was conducted in PubMed, The Cochrane Library, Web of Science, EMbase, CNKI, CBM, WanFang Data and VIP databases from inception to October 2016 to collect randomized controlled trials (RCTs) about different drugs for methamphetamine-induced psychotic disorders. Two reviewers independently screened literature, extracted data and assessed the risk bias of included studies, and then RevMan 5.3, R 3.3.2 and JAGS 4.2.0 softwares were used to perform network meta-analysis.ResultsA total of 16 RCTs involving 1 676 patients and 9 kinds of drugs were included. The results of network meta-analysis showed that: compared with the placebo group, olanzapine (OR=28.00, 95%CI 8.10 to 110.00), risperidone (OR=20.00, 95%CI 7.70 to 58.00), quetiapine (OR=30.00, 95%CI 6.60 to 160.00), ziprasidone (OR=28.00, 95%CI 3.70 to 230.00), chlorpromazine (OR=29.00, 95%CI 5.00 to 200.00), aripiprazole (OR=13.00, 95%CI 1.70 to 93.00), haloperidol (OR=19.00, 95%CI 2.10 to 190.00) could significantly improve the psychotic disorders of patients with methamphetamine, respectively, in which quetiapine was the best choice. There were no significant differences between any other pairwise comparisons of these different drugs.ConclusionFor the treatment of psychotic disorders caused by methamphetamine, quetiapine should be of a priority choice, follows by ziprasidone, chlorpromazine, olanzapine, risperidone, aripiprazole or haloperidol in a descending priority. Due to limited quality and quantity of the included studies, more high-quality studies are needed to verify above conclusion.
目的:探讨被误诊为功能性精神障碍的麻痹性痴呆患者的临床特点和诊治要点。方法:回顾性分析10例被误诊为功能性精神障碍的麻痹性痴呆患者的临床资料。结果:被误诊为功能性精神障碍的麻痹性痴呆均以精神症状为首发，多表现为精神病性症状、类躁狂、抑郁、类神经症、人格的改变及进行性痴呆等不典型症状群，本研究显示误诊率高达71.4%，误诊例次率以精神分裂症最高（47.3%），其次为躁狂症或躁狂状态（37.5%）。抗精神病药物能有效改善精神症状，青霉素驱梅能阻止病情进展使病情得到缓解，两者缺一不可。结论:被误诊为功能性精神障碍的麻痹性痴呆均以精神症状为首发且症状不典型而易被误诊，早期鉴别诊断十分重要，抗精神病药物和青霉素治疗可以有效控制症状。