Literature DB >> 17919460

Treatment of SSRI-resistant depression: a meta-analysis comparing within- versus across-class switches.

George I Papakostas1, Maurizio Fava, Michael E Thase.   

Abstract

BACKGROUND: Two broad treatment options exist for switching antidepressants for depressed patients who fail to respond to a selective serotonin reuptake inhibitor (SSRI): either a second course of SSRI therapy or a different class of antidepressants. The goal of the present work was to conduct a meta-analysis of studies comparing these two switch strategies.
METHODS: Several sources were searched for randomized clinical trials comparing these two switch strategies.
RESULTS: Data from four clinical trials (n = 1496) were combined using a random-effects model. Patients randomized to switch to a non-SSRI antidepressant (bupropion, mirtazapine, venlafaxine) were more likely to experience remission than patients switched to a second SSRI (risk ratio = 1.29, p = .007). Pooled remission rates were 28% (for non-SSRIs) and 23.5% (for SSRIs). There was also a nonsignificant trend (p = .1) in the rate of discontinuation due to intolerance favoring the within-class switch strategy (risk ratio = 1.23). There was no difference in response rates between the two treatment groups.
CONCLUSIONS: These results suggest a modest yet statistically significant advantage in remission rates when switching patients with SSRI-resistant depression to a non-SSRI rather than an SSRI antidepressant. With the number needed to treat (NNT) statistic as one indicator of clinical significance, nearly 22 SSRI nonresponders would need to be switched to a non-SSRI rather than a second SSRI antidepressant to obtain one additional remitter. This difference falls well below the mark of NNT = 10 suggested by the United Kingdom's National Institute of Clinical Excellence but nonetheless might be of public health relevance given the large number of SSRI-resistant patients switched to an SSRI versus a non-SSRI antidepressant.

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Year:  2007        PMID: 17919460     DOI: 10.1016/j.biopsych.2007.08.010

Source DB:  PubMed          Journal:  Biol Psychiatry        ISSN: 0006-3223            Impact factor:   13.382


  59 in total

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