Sullivan, Sarah A, Carroll, Robert, Peters, Tim J, Amos, Tim, Jones, Peter B, Marshall, Max, Birchwood, Max, Fowler, David, Johnson, Sonia, Fisher, Helen L, Major, Barnaby, Rahaman, Nikola, Joyce, John, Chamberlain-Kent, Nick, Lawrence, Jo, Moran, Paul and Tilling, Kate (2018) Duration of untreated psychosis and clinical outcomes of first episode psychosis – an observational and an instrumental variables analysis. Early Intervention in Psychiatry. ISSN 1751-7893

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Abstract

Aim
Duration of untreated psychosis (DUP) is considered a key prognostic variable in psychosis. Yet it is unclear whether a longer DUP causes worse outcomes or whether reported associations have alternative explanations.
Methods
Data from two cohorts of patients with first episode psychosis were used (n=2134). Measures of DUP were assessed at baseline and outcomes at 12 months. Regression models were used to investigate associations between DUP and outcomes. We also investigated whether any associations were replicated using instrumental variables analysis to reduce the effect of residual confounding and measurement bias.
Results
There were associations between DUP per 1 year increase and positive psychotic symptoms (7.0% in symptom score increase 95% CI 4.0%,10.0% p<0.001), worse recovery (risk difference (RD) 0.78 95% CI 0.68,0.83 p<0.001) and worse global functioning (0.62 decrease in functioning score 95% CI -1.19,- 0.04 p=0.035). There was no evidence of an association with negative psychotic symptoms (1.0% 95% CI -2.0%,5.0% p=0.455). The instrumental variables analysis showed weaker evidence of associations in the same direction between DUP per 1-year increase and positive psychotic symptoms, recovery and global functioning. However, there was evidence of an inverse association with negative psychotic symptoms (decrease of 15.0% in symptom score 95% CI -26.0% ,-3.0% p=0.016).
Conclusions
We have confirmed previous findings of a positive association between positive psychotic symptoms, global functioning and recovery and DUP using regression analysis. Instrumental variables analysis shows some support for these findings. Future investigation using instrumental variables analysis should be repeated in large datasets.

Item Type:	Article
Keywords:	confounding factors, epidemiology, psychotic disorders, signs and symptoms, epidemiologic methods
Schools and Departments:	School of Psychology > Psychology
Depositing User:	Ellena Adams
Date Deposited:	25 May 2018 16:12
Last Modified:	01 Jul 2019 16:00
URI:	http://sro.sussex.ac.uk/id/eprint/76124

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