The early improvement of depressive symptoms as a potential predictor of response to antidepressants in depressive patients who failed to respond to previous antidepressant treatments. Analysis of naturalistic data.
ABSTRACT Current studies suggest that improvement of depressive symptoms after 2 weeks of treatment could predict the subsequent response. The aim of our study was to compare the predictive effect of early improvement (EI) after 1 and 2 weeks of treatment in patients who had failed to respond to previous antidepressant treatments (≥1 unsuccessful antidepressant trial).
Seventy-one subjects were treated (≥4 weeks) with various antidepressants chosen according to the judgment of attending psychiatrists. We used three definitions of EI (MADRS reduction ≥20, 25, 30%) at both time points. Areas under curve (AUC) were calculated to compare predictive effect of EI.
We found lower MADRS scores in weeks 1 and 2 in responders (≥50% reduction of MADRS, n=35) compared to nonresponders. AUCs of MADRS reduction for response prediction at week 1 and 2 were not significantly different (0.73 vs 0.8; p=0.24).
The results indicate that improvement of depressive symptoms in the treatment of resistant patients may occur after the first week of treatment. The predictive potential might be comparable to that found after the second week of antidepressant intervention and be clinically meaningful.
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ABSTRACT: Studies have found that up to two-thirds of patients with major depressive disorder (MDD) do not fully respond to the first antidepressant. While switching antidepressants is a common strategy for antidepressant non-responders, there is still a lack of consensus about the optimal timing of a switch. Many clinicians wait for 6-12 weeks before considering a switch. The objectives of this paper are to (1) review the evidence for positive and negative predictive value (NPV) of early improvement at 2-4 weeks to predict final antidepressant response; (2) review randomized controlled trials (RCTs) that examine early switching strategies; and (3) provide future research directions and clinical recommendations for timing of antidepressant switching. We conducted a literature search for English-language studies via PubMed and Google Scholar, from 1984 to May 2013, with the following terms: 'antidepressants', 'MDD', 'time course', 'trajectory', 'early response', 'onset', 'delayed response', 'early improvement', 'predictors', 'switch', 'combination therapy', and 'augmentation'. Replicated evidence indicates that lack of early improvement (e.g. <20 % reduction in a depression scale score) at 2-4 weeks can be an accurate predictor to identify eventual non-responders. The NPVs suggest that only about one in five patients with lack of improvement at 4 weeks will have a response by 8 weeks. Three RCTs examined early switch strategies, but results are inconsistent and comparisons limited by methodological differences. Future studies should incorporate a standard consensus definition of early improvement, discern whether the effect of early switching is specific to certain types of antidepressants, and determine whether early switch is superior to other strategies such as augmentation or combination. Notwithstanding these limitations, there is reasonable evidence to recommend earlier assessment for improvement. If there is no indication of early improvement at 2-4 weeks after starting an antidepressant, and taking into account other patient and clinical factors, a change in management can be considered.CNS Drugs 05/2014; · 4.38 Impact Factor
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ABSTRACT: Current studies suggest that an early improvement of depressive symptoms and the reduction of prefrontal theta cordance value predict the subsequent response to antidepressants. The aim of our study was (1) to compare the predictive abilities of early clinical improvement defined as ≥20 % reduction in Montgomery and Åsberg Depression Rating Scale (MADRS) total score at week 1 and 2, and the decrease of prefrontal theta cordance at week 1 in resistant depressive patients and (2) to assess whether the combination of individual predictors yields more robust predictive power than either predictor alone. Eighty-seven subjects were treated (≥4 weeks) with various antidepressants chosen according to the judgment of attending psychiatrists. Areas under curve (AUC) were calculated to compare predictive effect of defined single predictors (≥20 % reduction in MADRS total score at week 1 and 2, and the decrease of cordance at week 1) and combined prediction models. AUCs of all three predictors were not statistically different (pair-wise comparison). The model combining all predictors yielded an AUC value 0.91 that was significantly higher than AUCs of each individual predictor. The results indicate that the combined predictor model may be a useful and clinically meaningful tool for the prediction of antidepressant response in patients with resistant depression.European Archives of Psychiatry and Clinical Neuroscience 05/2014; · 3.36 Impact Factor
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ABSTRACT: The effectiveness of prefrontal theta cordance and early reduction of depressive symptoms in the prediction of antidepressant treatment outcome in patients with resistant depression: analysis of naturalistic dataEuropean Archives of Psychiatry and Clinical Neuroscience 01/2014; · 3.36 Impact Factor