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  • Title: Effect of bupropion SR on specific symptom clusters of depression: analysis of the 31-item Hamilton Rating Scale for depression.
    Author: Jamerson BD, Krishnan KR, Roberts J, Krishen A, Modell JG.
    Journal: Psychopharmacol Bull; 2003; 37(2):67-78. PubMed ID: 14566216.
    Abstract:
    Principal component (PC) analysis is a statistical technique that has been used to identify core depression symptoms on the Hamilton Rating Scale for Depression (HAM-D). PC analysis is also a useful method to identify unidimensional scales of the HAM-D that are more sensitive to change following antidepressant treatment. Although there have been previous PC investigations of various versions of the HAM-D, there have been no investigations of the 31-item HAM-D scale or investigations that include subjects administered bupropion SR. We performed a PC analysis on data from 910 outpatients who participated in randomized, double-blind trials evaluating bupropion SR versus placebo for major depression. The goal of our analysis was to 1) identify components (domains) of the 31-item HAM-D and 2) determine patient response to bupropion SR using the domains identified. PC analysis produced a solution comprised of 7 domains of the HAM-D that accounted for approximately 49% of the total variance. Bupropion SR demonstrated a significant reduction (p<.01, least square mean change) in symptoms over placebo on 4 domains (cognitive, retardation, fatigue/interest, and anxiety items).
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