Department of Psychology, University of Deusto, Avda. Universidades, 24. 48007 Bilbao, Spain.
Schizophr Res. 2011 Mar;126(1-3):77-80. doi: 10.1016/j.schres.2010.09.019. Epub 2010 Oct 20.
Few studies have analysed factors that predict the ultimate clinical diagnosis in first-episode psychosis (FEP), and none has included cognitive factors. Eighty-six FEP patients and 34 healthy controls were recruited and followed up for two years. Positive and negative symptoms, depression, mania, duration of untreated psychosis (DUP), premorbid functioning, functional outcome and neurocognition were assessed over 2 years. Logistic regression models revealed that Wisconsin Card Sorting Test correctly distinguished the patients ultimately diagnosed with schizophrenia (87%) from those with bipolar disorder (80%) and those with other psychoses (85%), for an overall correct-diagnosis rate of 84.4%. The prediction was stable despite the inclusion of clinical and affective symptoms, DUP, clinical impression, and functional outcome scores. Results highlight the importance of reconsidering neurocognition as a diagnostic criterion for psychosis and schizophrenia.
很少有研究分析过首发精神病（FEP）中预测最终临床诊断的因素，也没有研究包含认知因素。招募了 86 名 FEP 患者和 34 名健康对照者，并进行了两年的随访。在 2 年内评估了阳性和阴性症状、抑郁、躁狂、未治疗精神病持续时间（DUP）、病前功能、功能结局和神经认知。逻辑回归模型显示，威斯康星卡片分类测验正确地区分了最终诊断为精神分裂症（87%）、双相障碍（80%）和其他精神病（85%）的患者，总正确诊断率为 84.4%。尽管纳入了临床和情感症状、DUP、临床印象和功能结局评分，预测结果仍然稳定。结果强调了重新考虑神经认知作为精神病和精神分裂症诊断标准的重要性。
