Article, 2024

Prior psychiatric morbidity and differential psychopharmacological treatment patterns: Exploring the heterogeneity of bipolar disorder in a nationwide study of 9594 patients

Bipolar Disorders, ISSN 1398-5647, 1399-5618, 10.1111/bdi.13432

Contributors

Ratheesh, Aswin [1] [2] Speed, Maria Simonsen 0000-0002-3356-2080 [3] [4] Salagre, Estela 0000-0001-6352-5179 [3] [4] Berk, Michael 0000-0002-5554-6946 [5] Rohde, Christopher 0000-0001-9458-506X [3] [4] Østergaard, Søren Dinesen 0000-0002-8032-6208 (Corresponding author) [3] [4]

Affiliations

  1. [1] Orygen
  2. [NORA names: Australia; Oceania; OECD];
  3. [2] University of Melbourne
  4. [NORA names: Australia; Oceania; OECD];
  5. [3] Aarhus University
  6. [NORA names: AU Aarhus University; University; Denmark; Europe, EU; Nordic; OECD];
  7. [4] Aarhus University Hospital
  8. [NORA names: Central Denmark Region; Hospital; Denmark; Europe, EU; Nordic; OECD];
  9. [5] Barwon Health
  10. [NORA names: Australia; Oceania; OECD]

Abstract

OBJECTIVES: Individuals 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. METHODS: In 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. RESULTS: We 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. CONCLUSION: The 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.

Keywords

ADHD, BD diagnosis, Cox proportional hazards regression, Danish, PTSD, age, allocation, antidepressants, anxiety/OCD, association, bipolar disorder, clinical decisions, clinical trials, course, decision, depression, depressive illness, diagnosis, diagnosis of BD, diagnosis of substance use disorder, diagnostic heterogeneity, disorders, female sex, future treatment response, hazards regression, heterogeneity, heterogeneity of bipolar disorder, illness, illness course, individuals, knowledge, lamotrigine, lithium, markers, medication, morbidity, multivariable Cox proportional hazards regression, participants, patients, patterns, patterns of illness, personality disorder, persons, pharmacological treatment, pharmacological treatment of BD, pharmacological treatment patterns, proportional hazards regression, psychiatric morbidity, psychiatric services, psychosis, quetiapine, register-based study, regression, response, response to treatment, services, sex, study, substance use disorders, substances, treatment, treatment allocation, treatment of BD, treatment patterns, treatment response, trials, unipolar depression, use disorder, valproate, years

Funders

  • National Health and Medical Research Council
  • Government of Victoria
  • Lundbeck Foundation
  • Congressionally Directed Medical Research Programs
  • Patient-Centered Outcomes Research Institute
  • Wellcome Trust

Data Provider: Digital Science