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Onset of schizophrenia diagnoses in a large clinical cohort

Abstract : We aimed to describe the diagnostic patterns preceding and following the onset of schizophrenia diagnoses in outpatient clinics. A large clinical sample of 26,163 patients with a diagnosis of schizophrenia in at least one outpatient visit was investigated. We applied a Continuous Time Hidden Markov Model to describe the probability of transition from other diagnoses to schizophrenia considering time proximity. Although the most frequent diagnoses before schizophrenia were anxiety and mood disorders, direct transitions to schizophrenia usually came from psychotic-spectrum disorders. The initial diagnosis of schizophrenia was not likely to change for two of every three patients if it was confirmed some months after its onset. When not confirmed, the most frequent alternative diagnoses were personality, affective or non-schizophrenia psychotic disorders. Misdiagnosis or comorbidity with affective, anxiety and personality disorders are frequent before and after the diagnosis of schizophrenia. Our findings give partial support to a dimensional view of schizophrenia and emphasize the need for longitudinal assessment.
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Contributeur : Nathalie Salvy-Cordoba <>
Soumis le : mardi 19 mai 2020 - 11:37:21
Dernière modification le : dimanche 31 mai 2020 - 18:50:03

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Jorge Lopez-Castroman, Jose Miguel Leiva-Murillo, Fanny Cegla-Schvartzman, Hilario Blasco-Fontecilla, Rebeca Garcia-Nieto, et al.. Onset of schizophrenia diagnoses in a large clinical cohort. Scientific Reports, Nature Publishing Group, 2019, 9 (1), pp.9865. ⟨10.1038/s41598-019-46109-8⟩. ⟨hal-02612539⟩



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