JOURNAL ARTICLE
MULTICENTER STUDY
RESEARCH SUPPORT, NON-U.S. GOV'T
Add like
Add dislike
Add to saved papers

Metabolic Syndrome and Illness Severity Predict Relapse at 1-Year Follow-Up in Schizophrenia: The FACE-SZ Cohort.

OBJECTIVE: Predicting relapse is a major challenge in schizophrenia from a clinical and medico-economic point of view. During recent decades, major psychiatric disorders have been found to be extensively associated with metabolic disorders, even before the illness onset, with a prevalence estimated to be 35% in this population. However, no study to date has, to our knowledge, explored the potential impact of metabolic syndrome (MetS) on relapse.

METHODS: From 2010 to 2016, 185 patients (mean age = 32 years) with a DSM-IV-TR diagnosis of schizophrenia were included in the FondaMental Academic Centers of Expertise for Schizophrenia (FACE-SZ) cohort and followed up for 1 year. Multivariable logistic regression was performed to estimate the adjusted odds ratio for relapse.

RESULTS: Thirty-seven percent of stabilized outpatients with schizophrenia (mean illness duration = 11 years) experienced a relapse at least once during the 1 year of follow-up. MetS strongly predicted relapse at 1 year, independently of illness severity, insight into illness, and treatment characteristics (including medication compliance). Patients with MetS at baseline had a 3 times higher risk (95% CI, 1.1-8.4) of experiencing a new episode of psychosis during the 12 months of follow-up.

CONCLUSIONS: Further studies should determine if reducing or preventing MetS could help to protect subjects with schizophrenia from relapse.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

Related Resources

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app