[Predictive factors of depression and its therapy]

Area of Science:

• Psychiatry
• Genetics
• Clinical Psychology

Context:

• Major depressive disorder (MDD) is a complex condition with heterogeneous presentations.
• Existing research has explored psychosocial and biological risk factors for MDD.
• Predictive factors are sought to guide personalized prevention and treatment strategies.

Purpose:

• To review predictive factors for the occurrence of depressive episodes.
• To examine the identification of predictive factors for individual antidepressant therapy response.
• To assess the clinical utility of predictive factors in treatment decisions for MDD.

Summary:

• Psychosocial and biological factors contribute to the heterogeneity of depression.
• Despite extensive research, particularly in psychiatric genetics, clinically applicable predictive factors for individual antidepressant response remain elusive.
• Clinical factors (symptom clusters, antidepressant properties), individual, and contextual factors influence antidepressant selection in practice.
• Early clinical improvement within the first two weeks of antidepressant treatment is a robust predictor of long-term treatment outcomes in MDD.

Impact:

• Understanding predictive factors can enable targeted preventive measures for at-risk populations.
• Identifying reliable predictors can aid in optimizing individual antidepressant therapy selection and improving long-term outcomes.
• Early treatment response assessment offers a valuable prognostic indicator for managing major depressive disorder.