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- Title
Seasonality in bipolar disorder: a specifier that needs being specified?
- Authors
De Toffol, M.; Fico, G.; Sagué, M.; Verdolini, N.; Pacchiarotti, I.; Solmi, M.; Vieta, E.; Murru, A.
- Abstract
Introduction: Among the course specifier of Bipolar Disorder (BD), seasonal pattern specifier (SPS) outlines a clinical course characterizad by a tendency towards relapses according to specific moments of the year. This course affects 15-25% of BD patients. In the past, SPS just considered depressive episodes, intrinsically biasing clinical correlates outlined. Seasonality in DSM-5 may be applied to both polarities of relapse. Objectives: To assess SPS and its clinical correlates, in a sample of BD I and II patients. Methods: BD-I and BD-II patients enrolled from a prospective cohort follow-up. Data on seasonality were obtained from electronic clinical records, and assessed with respect to season of relapse and type of episode per season. SPS and non-SPS patients were compared according to sociodemographic and clinical correlates variables. A binary logistic regression was performed on the likelihood of association with SPS. Results: Among the 889 BD patients enrolled, 168 presented SPS. Significant variables at bivariate comparisons were included in a binary logistic regression. Total variance explained by the model was statistically significant (p<0.0001), between 7.2-11.0%, and included significant contribution of BD-II (p<0001, OR=2.655), treatment less treated with quetiapine (p<0.008 OR=1.8), undetermined predominant polarity (p<0.003, OR=1.8). Conclusions: Our results outline a known association with BD-II, an unknown association with undetermined predominant polarity. Differences among SPS BD patient might possibly underpin a need for a more precise definition which implements type of the affective relapse as well as season of relapse, in order to stratify among SPS patients more homogenous subpopulations.
- Subjects
BIPOLAR disorder; MEDICAL records; LOGISTIC regression analysis; ELECTRONIC records
- Publication
European Psychiatry, 2020, Vol 63, pS311
- ISSN
0924-9338
- Publication type
Article