How to choose an antidepressant medication.

Area of Science:

• Psychiatry and Pharmacology
• Clinical Psychology

Background:

• Clinical depression management requires effective antidepressant selection.
• Current antidepressant choice relies on general guidelines, often lacking personalization.

Purpose of the Study:

• To develop a model for guiding antidepressant medication choice in clinical depression.
• To integrate patient-specific factors and scientific literature into treatment selection.

Main Methods:

• A narrative review of antidepressant choice parameters.
• Synthesis of findings with clinical experience to create a decision-making model.
• Assessment of patient-specific factors like depressive subtypes, severity, and comorbidities.

Main Results:

• Precision psychiatry biomarkers currently have limited clinical utility for antidepressant selection.
• A model is proposed that prioritizes matching antidepressant class to depressive subtypes or symptom clusters.
• Antidepressant choice can be further refined by severity, personality, comorbidities, and side-effect profiles.

Conclusions:

• Personalized antidepressant selection can be enhanced by trialing medications in specific depressive subtypes.
• Combining 'top-down' (subtype-based) and 'bottom-up' (biomarker-based) approaches can optimize antidepressant choice.
• Future research should focus on testing antidepressant efficacy within defined individual categories for personalized treatment.