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Updated: Jul 24, 2025

Developing a Rat Model for Bipolar Disorder
Published on: May 2, 2025
Predictors of diagnostic conversion from major depression to bipolar disorder: a Swedish national longitudinal study
Sang Jin Rhee1, Henrik Ohlsson2, Jan Sundquist2,3
1Biomedical Research Institute, Seoul National University Hospital, Seoul, Korea.
Background:
It is clinically important to predict the conversion of major depression (MD) to bipolar disorder (BD). Therefore, we sought to identify related conversion rates and risk factors.
Methods:
This cohort study included the Swedish population born from 1941 onward. Data were collected from Swedish population-based registers. Potential risk factors, including family genetic risk scores (FGRS), which were calculated based on the phenotypes of relatives in the extended family and not molecular data, and demographic/clinical characteristics from these registers were retrieved. Those with first MD registrations from 2006 were followed up until 2018. The conversion rate to BD and related risk factors were analyzed using Cox proportional hazards models. Additional analyses were performed for late converters and with stratification by sex.
Results:
The cumulative incidence of conversion was 5.84% [95% confidence interval (95% CI) 5.72-5.96] for 13 years. In the multivariable analysis, the strongest risk factors for conversion were high FGRS of BD [hazard ratio (HR) = 2.73, 95% CI 2.43-3.08], inpatient treatment settings (HR = 2.64, 95% CI 2.44-2.84), and psychotic depression (HR = 2.58, 95% CI 2.14-3.11). For late converters, the first registration of MD during the teenage years was a stronger risk factor when compared with the baseline model. When the interactions between risk factors and sex were significant, stratification by sex revealed that they were more predictive in females.
Conclusions:
Family history of BD, inpatient treatment, and psychotic symptoms were the strongest predictors of conversion from MD to BD.
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