首页> 外文期刊>The journal of clinical psychiatry >Predicting 5-year outcome in first-episode psychosis: construction of a prognostic rating scale.
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Predicting 5-year outcome in first-episode psychosis: construction of a prognostic rating scale.

机译:预测首发精神病的5年预后:建立预后评估量表。

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OBJECTIVE: The aim of this study was to construct a rating scale to predict long-term outcome on the basis of clinical and sociodemographic characteristics in patients with symptoms of psychosis who seek psychiatric help for the first time. METHOD: Patients (N = 153) experiencing their first episode of psychosis (DSM-IV schizophrenia, schizophreniform disorder, schizoaffective disorder, brief psychotic episode, delusional disorder, affective psychosis with mood-incongruent delusions, or psychotic disorder not otherwise specified or being actively psychotic) were consecutively recruited from 17 psychiatric clinics in Sweden from January 1996 through December 1997 (24 months). Baseline characteristics were assessed with an extensive battery of psychiatric rating scales; duration of untreated psychosis, premorbid characteristics, and cognitive functioning were also assessed. The relationship between baseline characteristics and the 5-year outcome was analyzed using a stepwise logistic regression model. RESULTS: In the logistic regression analysis, 5 variables were found to have unique contributions in the prediction of outcome. In order of magnitude of the odds ratios, these variables were Global Assessment of Functioning (GAF) score during the year before first admission, education level, actual GAF score at first admission, gender, and social network. The sensitivity, i.e., correctly identified cases (poor outcome), was 0.84, and the specificity, i.e., the correctly identified non-cases (good outcome), was 0.77. CONCLUSION: To initiate adequate interventions, it is crucial to identify patients experiencing their first episode of psychosis who are likely to have an unfavorable long-term outcome. The predictive rating scale described here is a feasible tool for early detection of these patients.
机译:目的:本研究的目的是根据首次患有精神病的精神病患者的临床和社会人口学特征,建立预测长期结局的评估量表。方法:患者(N = 153)经历了第一次精神病(DSM-IV精神分裂症,精神分裂症,精神分裂症,短暂性精神病,妄想症,情感性精神病,无情绪妄想或未明确指定或正在积极活动的精神病)从1996年1月至1997年12月(24个月),从瑞典的17家精神病诊所连续招募了精神病患者。用广泛的精神病学评定量表评估基线特征;还评估了未经治疗的精神病的持续时间,病前特征和认知功能。使用逐步逻辑回归模型分析基线特征与5年结局之间的关系。结果:在逻辑回归分析中,发现5个变量在预测结果方面具有独特的作用。按照优势比的大小顺序,这些变量是首次入学前一年的全球功能评估(GAF)分数,教育水平,首次入学时的GAF实际分数,性别和社交网络。敏感性,即正确鉴定出的病例(不良结局)为0.84,特异性,即正确鉴定出的非病例(不良结局)为0.77。结论:要启动适当的干预措施,至关重要的是要确定正在经历首次精神病发作的患者,这些患者可能具有不良的长期预后。此处描述的预测等级量表是这些患者的早期发现的可行工具。

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