Publication Type : Journal Article
Publisher : Elsevier BV
Source : Asian Journal of Psychiatry
Url : https://doi.org/10.1016/j.ajp.2017.04.029
Keywords : Antidepressants, Unipolar depression, Factor analysis, Mood Disorder, Predictor
Campus : Faridabad
School : School of Medicine
Department : Psychiatry
Year : 2017
Abstract : Background
 Major Depressive Disorder (MDD) is a broad heterogeneous construct resolving into several symptom-clusters by factor analysis. The aim was to find the factor structures of MDD as per Montgomery and Asberg Depression Rating Scale (MADRS) and whether they predict escitalopram response.
 
 Methods
 In a longitudinal study at a tertiary institute in north India, 116 adult out-patients with non-psychotic unipolar MDD were assessed with MADRS before and after treatment with escitalopram (10–20mg) over 6–8 weeks for drug response.
 
 Results
 For total 116 patients pre-treatment four factor structures of MADRS extracted by principal component analysis with varimax rotation altogether explained a variance of 57%: first factor ‘detachment’ (concentration difficulty, lassitude, inability to feel); second factor ‘psychic anxiety’ (suicidal thoughts and inner tension); third ‘mood-pessimism’ (apparent sadness, reported sadness, pessimistic thoughts) and fourth ‘vegetative’ (decreased sleep, appetite). Eighty patients (68.9%) who completed the study had mean age 35.37±10.9 yrs, majority were male (57.5%), with mean pre-treatment MADRS score 28.77±5.18 and majority (65%) having moderate severity (MADRS <30). Among them 56 (70%) responded to escitalopram. At the end of the treatment there were significant changes in all the 4 factor structures (p
 <0.01). Vegetative function was an important predictor of response (p
 <0.01, odd's ratio: 1.3 [1.1–1.6] 95% CI). Melancholia significantly predicted non-response (p
 =0.04).
 
 Conclusions
 Non-psychotic unipolar major depression having moderate severity in north Indian patients as per MADRS resolved into four factor-structures all significantly improved with adequate escitalopram treatment. Understanding the factor structure is important as they can be important predictor of escitalopram response.
Cite this Research Publication : Aniruddha Basu, Rakesh Chadda, Mamta Sood, S.A. Rizwan, Pre-treatment factor structures of the Montgomery and Åsberg Depression Rating scale as predictors of response to escitalopram in Indian patients with non-psychotic major depressive disorder, Asian Journal of Psychiatry, Elsevier BV, 2017, https://doi.org/10.1016/j.ajp.2017.04.029