Affective dimensions as a diagnostic tool for bipolar disorder in first psychotic episodes

Objective: To examine the predictive diagnostic value of affective symptomatology in a first-episode psychosis (FEP) sample with 5 years' follow-up. Method: Affective dimensions (depressive, manic, activation, dysphoric) were measured at baseline and 5 years in 112 FEP patients based on a factor structure analysis using the Young Mania Rating Scale and Hamilton Depression Rating Scale. Patients were classified as having a diagnosis of bipolar disorder at baseline (BDi), bipolar disorder at 5 years (BDf), or "other psychosis''. The ability of affective dimensions to discriminate between these diagnostic groups and to predict a bipolar disorder diagnosis was analysed. Results: Manic dimension score was higher in BDi vs. BDf, and both groups had higher manic and activation scores vs. "other psychosis''. Activation dimension predicted a bipolar diagnosis at 5 years (odds ratio = 1.383; 95% confidence interval, 1.205-1.587; P = 0.000), and showed high levels of sensitivity (86.2%), specificity (71.7%), positive (57.8%) and negative predictive value (90.5%). Absence of the manic dimension and presence of the depressive dimension were both significant predictors of an early misdiagnosis. Conclusion: The activation dimension is a diagnostic predictor for bipolar disorder in FEP. The manic dimension contributes to a bipolar diagnosis and its absence can lead to early misdiagnosis. (C) 2013 Elsevier Masson SAS. All rights reserved.