Affiliation:
1. Orygen Parkville Victoria Australia
2. Centre for Youth Mental Health University of Melbourne Parkville Victoria Australia
3. Department of Affective Disorders Aarhus University Hospital—Psychiatry Aarhus Denmark
4. Department of Clinical Medicine Aarhus University Aarhus Denmark
5. School of Medicine, Barwon Health Deakin University, IMPACT—The Institute for Mental and Physical Health and Clinical Translation Geelong Victoria Australia
Abstract
AbstractObjectivesIndividuals with bipolar disorders (BD) have heterogenic pre‐onset illness courses and responses to treatment. The pattern of illness preceding the diagnosis of BD may be a marker of future treatment response. Here, we examined associations between psychiatric morbidity preceding the diagnosis of BD and pharmacological treatment patterns in the 2 years following diagnosis.MethodsIn this register‐based study, we included all patients with a diagnosis of BD attending Danish Psychiatric Services between January 1, 2012 and December 31, 2016. We examined the association between a diagnosis of substance use disorder, psychosis (other than schizophrenia or schizoaffective disorder), unipolar depression, anxiety/OCD, PTSD, personality disorder, or ADHD preceding BD and pharmacological treatment patterns following the diagnosis of BD (lithium, valproate, lamotrigine, antidepressants, olanzapine, risperidone, and quetiapine) via multivariable Cox proportional hazards regression adjusted for age, sex, and year of BD diagnosis.ResultsWe included 9594 patients with a median age of 39 years, 58% of whom were female. Antidepressants, quetiapine, and lamotrigine were the most commonly used medications in BD and were all linked to prior depressive illness and female sex. Lithium was used among patients with less diagnostic heterogeneity preceding BD, while valproate was more likely to be used for patients with prior substance use disorder or ADHD.ConclusionThe pharmacological treatment of BD is linked to psychiatric morbidity preceding its diagnosis. Assuming that these associations reflect well‐informed clinical decisions, this knowledge may inform future clinical trials by taking participants' prior morbidity into account in treatment allocation.