Mixed States: Modelling and Management

Area of Science:

• Psychiatry
• Neuroscience
• Clinical Psychology

Background:

• Current understanding of mixed states (co-occurring manic and depressive symptoms) is insufficient for clinical practice and research.
• The Diagnostic and Statistical Manual of Mental Disorders (DSM-5) no longer codes mixed state episodes, and the 'mixed features specifier' inadequately represents common presentations.
• Limited research exists on the nature and pathophysiology of mixed states, with clinical guidelines lacking management advice.

Purpose of the Study:

• To propose a reconceptualization of mixed states to guide clinical practice and research.
• Introduce the Activity, Cognition, and Emotion (ACE) model as a framework for deconstructing mood disorders.
• Provide a structured approach to understanding the etiology and management of mixed states.

Main Methods:

• Deconstruction of mood disorders into three symptom domains: activity, cognition, and emotion (ACE model).
• Explanation of mixed states as the result of asynchronous variations across these domains.
• Identification of potential causes including idiopathic, transitions, ultradian cycling, and treatment-emergent affective switches.

Main Results:

• The ACE model explains mixed states as 'out of sync' domain variations.
• Identified idiopathic mixed states and three specific etiological categories relevant to management.
• Outlined strategies for identifying and managing mixed states based on ACE domain monitoring and functioning.

Conclusions:

• A reconceptualization of mixed states using the ACE model provides a framework for research and clinical practice.
• Understanding mixed states requires considering asynchronous domain variations and specific etiological factors.
• Practical management strategies involve monitoring ACE domains, functioning, and utilizing interventions like psychoeducation, psychotherapy, and pharmacotherapy.