Predictors of Treatment Outcome in Major Depressive Disorder

Major depressive disorder (MDD) is a common and disabling mental health condition characterized by persistent low mood, loss of interest, and disruptions in sleep, appetite, and daily functioning. Response to treatment varies widely among individuals: while some respond to standard single-drug antidepressant therapy, others require medication combinations or electroconvulsive therapy (ECT). Currently, reliable clinical tools to predict which patients will respond best to specific treatment modalities remain limited.

The purpose of this prospective observational study is to identify sociodemographic and clinical factors that predict treatment response and remission at one month in patients diagnosed with MDD. The study specifically investigates whether baseline characteristics, such as age, sex, symptom profiles (including sleep disturbances, appetite changes, and functional impairment), and the presence of psychotic features, are associated with clinical improvement across different treatment approaches.

Adult participants aged 18 to 60 receiving psychiatric care at Assiut University Hospital are evaluated upon treatment initiation and followed for one month. Because this is an observational study, all treatment choices, including single antidepressants, combination pharmacotherapy, ECT, or combined regimens, are determined entirely by the treating medical team according to standard clinical practice. Depressive symptom severity and therapeutic response are measured at baseline and after one month using standardized clinical assessments, including the Hamilton Depression Rating Scale (HDRS).