Hamilton depression rating subscales to predict antidepressant treatment outcome in the early course of treatment
Hamilton depression rating subscales to predict antidepressant treatment outcome in the early course of treatment
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DOI:
10.1016/j.jad.2014.12.043
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发表时间:
2015-04-01
影响因子:
6.6
通讯作者:
Tadic, Andre
中科院分区:
文献类型:
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作者:
Helmreich, Isabella;Wagner, Stefanie;Tadic, Andre
Background: Hamilton depression rating scale (HAMD) subscales provide an economic alternative for the full scale; however, their ability to detect onset of improvement in the early course of treatment (El) has not yet been researched. The present study investigated in patients with major depression (MD) whether the subscales are a comparable option to predict treatment remission in the early course of treatment.Methods: Based on data from 210 MD patients of a 6-week randomised, placebo-controlled trial comparing mirtazapine (MIR) and paroxetine (PAR), the discriminative and predictive validity of El for (stable) remission at treatment end was evaluated for seven subscales and the HAMD(17) in the total and in treatment subgroups (MIR vs. PAR). Receiver operating characteristics (ROC) curves (at week 2) and the Clinical Global Impression scales (CGI) (at study endpoint) were used to validate the 20% EI criterion for the subscales.Results: Only the Evans(6) and Toronto(7) subscale had almost the same predictive value as the HAMD(17) (e.g., sensitivities stable remission Evans(6)/Toronto(7): 96/95% vs. 96% HAMD(17)). The optimal cut-off for El to predict remission was just below 20% for most subscales and slightly over 20% for stable remission. Limitations: Study sample representativeness, non-independence of subscales, missing external validation criterion, lack of control group.Conclusions: The Evans and Toronto7 subscales are valuable alternatives in situations, where economic aspects play a larger role. A sum score reduction of >= 20% as definition for EI seems also appropriate for the HAMD subscales, in the total as well as in the antidepressant subgroups. (C) 2015 Elsevier B.V. All rights reserved.