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Treatment of insomnia with tricyclic antidepressants: a meta-analysis of polysomnographic randomized controlled trials.

Abstract：

BACKGROUND:Insomnia represents a significant public health burden worldwide. Antidepressants have often been the insomnia treatment of choice in recent decades. Some tricyclic antidepressants (TCAs) have been shown to improve sleep efficiency. OBJECTIVE:Assess the efficacy and safety of TCAs for the treatment of insomnia using a meta-analysis of randomized control trials (RCTs). METHODS:Relevant studies were identified in electronic databases such as PubMed, Cochrane, Embase, and Web of Science, up until July 2016. We included all polysomnographic (PSG) RCTs using TCAs to treat insomnia. The primary outcome measure was the total sleep time (TST), although other polysomnographic measures were also investigated. Next-day somnolence and dropout rates were also assessed. RESULTS:The meta-analysis included nine RCTs. TCAs significantly improved TST compared with placebo (SMD = 0.61, 95% CI = 0.50-0.71, P < 0.00001). Participants receiving TCAs were not more likely to drop out than those receiving a placebo because of adverse side effects (1.71% vs 1.19%, RR = 1.37, 95% CI = 0.67-2.80, P = 0.39) or any other reason (7.08% vs 8.20%; RR = 0.86, 95% CI = 0.60-1.23, P = 0.42). However, the incidence of somnolence was higher in participants receiving TCAs (6.06% vs. 3.21%; RR = 1.82, 95% CI = 1.10-3.00, P = 0.02). CONCLUSIONS:Based on our limited data analysis with two medications at particular doses (most studies included extremely low doxepin), we assert that TCAs can be an effective pharmacological treatment for insomnia. TCAs were found to improve sleep outcome measures, with the notable exception of an 82% increase in somnolence. Overall TCAs have very problematic and dangerous side effects, while TCAs were not found to increase the dropout rate compared with the placebo.

journal_name

Sleep Med

journal_title

Sleep medicine

authors

Liu Y,Xu X,Dong M,Jia S,Wei Y

doi

10.1016/j.sleep.2017.03.007

subject

Has Abstract

pub_date

2017-06-01 00:00:00

pages

126-133

eissn

1389-9457

issn

1878-5506

pii

S1389-9457(17)30134-X

journal_volume

34

pub_type

杂志文章,meta分析,评审

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