RT Journal Article
T1 Onset of schizophrenia diagnoses in a large clinical cohort
A1 López Castroman, Jorge
A1 Leiva Murillo, José Miguel
A1 Cegla Schvartzman, Fanny
A1 Blasco Fontecilla, Hilario
A1 García Nieto, Rebeca
A1 Artés Rodríguez, Antonio
A1 Morant Ginestar, Consuelo
A1 Courtet, Philippe
A1 Blanco, Carlos
A1 Aroca, Fuensanta
A1 Baca García, Enrique
AB 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.
PB Springer
SN 2045-2322
YR 2019
FD 2019-01-01
LK https://hdl.handle.net/10016/37960
UL https://hdl.handle.net/10016/37960
LA eng
NO This research was supported by Madrid Regional Government (S2010/BMD-2422 AGES), Community of Madrid (I + D Activities in Biomedicine B2017/BMD-3740, AGES-CM 2CM), European Union Structural Funds.
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RD 21 may. 2024