4.5 Article

The mood disorder spectrum vs. schizophrenia decision tree: EDIPHAS research into the childhood and adolescence of 205 patients

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BMC PSYCHIATRY
卷 22, 期 1, 页码 -

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BMC
DOI: 10.1186/s12888-022-03835-0

关键词

Adolescence; Mood spectrum disorder; Decision tree; Schizophrenia; Trajectory

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This study aims to investigate the differences in early symptoms between schizophrenia and bipolar disorder (or mood spectrum disorder) and provide methods for early identification and intervention. The results show that there are significant differences in the illness trajectories of these two disorders, with schizophrenia patients exhibiting negative and positive behavioral symptoms, while mood spectrum disorder patients are more prone to anxiety and mood-related symptoms.
Background The early detection of patients at risk of developing schizophrenia and bipolar disorder, and more broadly mood spectrum disorder, is a public health concern. The phenotypical overlap between the prodromes in these disorders calls for a simultaneous investigation into both illness trajectories. Method This is an epidemiological, retrospective, multicentre, descriptive study conducted in the Grand-Est region of France in order to describe and compare early symptoms in 205 patients: 123 of which were diagnosed with schizophrenia and 82 with bipolar disorder or mood spectrum disorder. Data corresponding to the pre-morbid and prodromal phases, including a timeline of their onset, were studied in child and adolescent psychiatric records via a data grid based on the literature review conducted from birth to 17 years of age. Results Two distinct trajectories were highlighted. Patients with schizophrenia tended to present more difficulties at each developmental stage, with the emergence of negative and positive behavioural symptoms during adolescence. Patients with mood spectrum disorder, however, were more likely to exhibit anxiety and then mood-related symptoms. Overall, our results corroborate current literature findings and are consistent with the neurodevelopmental process. We succeeded in extracting a decision tree with good predictability based on variables relating to one diagnosis: 77.6% of patients received a well-indexed diagnosis. An atypical profile was observed in future mood spectrum disorder patients as some exhibited numerous positive symptoms alongside more conventional mood-related symptoms. Conclusion The combination of all these data could help promote the early identification of high-risk patients thereby facilitating early prevention and appropriate intervention in order to improve outcomes.

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