Estimating the per-protocol effect of lithium on suicidality in a randomized trial of individuals with depression or bipolar disorder

锂(药物) 危险系数 安慰剂 精神科 萧条(经济学) 随机对照试验 双相情感障碍 医学 重性抑郁障碍 毒物控制 内科学 心理学 置信区间 急诊医学 心情 替代医学 病理 经济 宏观经济学
作者
Alejandro G. Szmulewicz,Arin L. Madenci,Ryan Ferguson,Matthew H. Liang,Robert Lew,Ira R. Katz,Miguel A. Hernán
出处
期刊:Journal of Psychopharmacology [SAGE]
卷期号:37 (6): 539-544
标识
DOI:10.1177/02698811231166460
摘要

Background: The CSP590 randomized trial was designed to estimate the effect of lithium on suicidality. After a third of the intended number of participants were enrolled, the hazard ratio of suicidality was 1.10 (95% CI: 0.77, 1.55). Based on this, the trial was stopped for futility. However, only 17% of patients adhered to the specified protocol. Aims: The objective was to estimate the per-protocol effect of lithium on suicidality, that is, the effect of adhering to the treatment strategies as specified in the protocol. Methods: We stopped individuals’ follow-up if/when they showed evidence of nonadherence. We then conducted the analysis in the restricted sample, adjusting for prognostic factors that predict adherence via inverse probability weighting. The primary outcome was the 12-month risk of suicidality (including death from suicide, suicide attempt, interrupted attempt, hospitalization specifically to prevent suicide). Results: The estimated 12-month risk of suicidality was 18.8% for lithium, and 24.3% for placebo. The risk ratio was 0.78 (95% CI: 0.43, 1.37) and the risk difference −5.5 percentage points (95% CI: −17.5, 5.5). Results were consistent across sensitivity analyses. Conclusions: With one-third of the targeted sample size, lithium effects (compared with placebo) ranging between a 17.5% reduction and a 5.5% increase in the risk of suicidality were highly compatible with the data. Thus, a protective effect of lithium on suicidality among patients with bipolar disorder or major depressive disorder cannot be ruled out. Trials should incorporate adequate per-protocol analyses into the decision-making processes for stopping trials for futility.
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