Major depressive disorder with subthreshold hypomanic (mixed) features: A real-world assessment of treatment patterns and economic burden.

BACKGROUND

To compare outcomes for individuals with major depressive disorder (MDD) with or without subthreshold hypomania (mixed features) in naturalistic settings.

METHODS

Using the Optum Research Database (1/1/2009─10/31/2014), a retrospective analysis of individuals newly diagnosed with MDD was conducted. Continuous enrollment for 12-months before and after the initial MDD diagnosis was required. MDD with subthreshold hypomania (mixed features) (MDD-MF) was defined based on ≥1 hypomania diagnosis within 30 days after an MDD diagnosis during the one-year follow-up period, in the absence of bipolar I diagnoses. Psychiatric medication use, healthcare utilization, and costs during the one-year follow-up period were compared using multivariate logistic and gamma regressions, controlling for baseline differences.

RESULTS

Of 130,626 MDD individuals, 652 (0.5%) met the operational definition of MDD-MF. Compared to the MDD-only group, the MDD-MF group had more suicidality (2.0% vs. 0.5%), anxiety disorders (46.8% vs. 34.0%), and substance use disorders (15.5% vs. 6.1%, all P<0.001). More individuals with MDD-MF were treated with antidepressants (83.6% vs. 71.6%), mood stabilizers (50.5% vs. 2.7%), atypical antipsychotics (39.0% vs. 5.5%), and polypharmacy with multiple drug classes (72.1% vs. 22.7%, all P<0.001). Individuals with MDD-MF had higher hospitalizations rates (24.2% vs. 10.5%) and total healthcare costs (mean: $15,660 vs. $10,744, all P<0.001).

LIMITATIONS

The commercial claims data used were not collected for research purposes and may over- or under-represent certain populations. No specific claims-based diagnostic code for MDD with mixed features exists.

CONCLUSIONS

Greater use of mood stabilizers, atypical antipsychotics, polypharmacy, and healthcare resources provides evidence of the complexity and severity of MDD-MF. Identifying optimal treatment regimens for this population represents a major unmet medical need.