Esketamine nasal spray reduced depressive symptoms in people with treatment-resistant bipolar depression as effectively as in those with unipolar treatment-resistant depression, with no significant differences in response or remission rates after one and three months. The treatment also showed greater anxiety-reducing effects in the bipolar group. No treatment-emergent affective switch occurred, supporting the safety and tolerability of esketamine for bipolar treatment-resistant depression.
Machine learning models predicted which patients with treatment-resistant depression would respond to esketamine nasal spray. In a retrospective study of 149 patients, three random forest classifiers achieved 68.53% accuracy for response at one month and 66.26% at three months, and 68.60% accuracy for remission at three months. Features such as severe anhedonia, anxious distress, mixed symptoms, and bipolarity positively predicted response and remission, while benzodiazepine use and depression severity were linked to delayed responses. The findings suggest machine learning may aid personalized treatment decisions for treatment-resistant depression.