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研究 N-3 脂肪酸预防新生儿烟草相关结局(INFANTS):一项双盲、随机、安慰剂对照平行临床试验方案,研究在吸烟孕妇中补充 n-3 多不饱和脂肪酸。

Investigating N-3 Fatty Acids to prevent Neonatal Tobacco-related outcomeS (INFANTS): study protocol for a double-blind, randomized, placebo-controlled parallel clinical trial of n-3 polyunsaturated fatty acids in pregnant smokers.

机构信息

Division of General Internal Medicine and Public Health, Vanderbilt University Medical Center, 2525 West End Avenue, Suite 450, Nashville, TN, 37232, USA.

Geriatric Research, Education and Clinical Center, Tennessee Valley Healthcare System, Nashville, TN, USA.

出版信息

Trials. 2021 Dec 14;22(1):922. doi: 10.1186/s13063-021-05865-7.

Abstract

BACKGROUND

Tobacco use during pregnancy is the most important modifiable risk factor associated with adverse pregnancy outcomes, increasing the risk of preterm birth, intrauterine growth restriction and sudden infant death syndrome. Fewer than half of pregnant smokers can quit on their own. Identifying safe and effective therapies to prevent tobacco-related adverse pregnancy outcomes and/or increase smoking cessation in pregnant women would have a substantial public health impact. Cigarette smoking is associated with a relative deficiency in circulating n-3 long-chain polyunsaturated fatty acid (n-3 LCPUFA) levels. A recent analysis found that smokers taking n-3 LCPUFAs during pregnancy had a reduction in preterm labor risk when compared to non-smokers. Studies have shown that supplemental n-3 LCPUFAs may also reduce nicotine cravings and daily cigarette use. Thus, smokers may benefit from supplemental n-3 LCPUFAs by lowering the risk of preterm labor and/or increased smoking cessation. To address important remaining knowledge gaps, we propose the Investigating N-3 Fatty Acids to prevent Neonatal Tobacco related outcomeS (INFANTS).

METHODS

The INFANTS study is a multicenter, randomized, double-blind, placebo-controlled study that will randomize 400 pregnant smokers to either supplemental n-3 LCPUFAs or placebo. Participants will be enrolled between 12 and 24 weeks' gestation and followed until 6 weeks after delivery. We will recruit from clinical centers throughout Middle Tennessee. We will assess smoking behavior after 12 weeks of supplementation using self-report and validated biomarkers of tobacco exposure. We will measure response to supplementation using biological markers of n-3 LCPUFA status. Our primary endpoint will be preterm labor as reflected by gestational age at delivery. Our secondary endpoint will be change from baseline in cigarettes per day at 12 weeks.

DISCUSSION

This study tests the hypothesis that smoking-induced n-3 LCPUFA deficiencies contribute to tobacco-related adverse pregnancy outcomes and that supplementation of n-3 LCPUFAs in pregnant smokers may prevent these complications. If our study demonstrates that supplemental n-3 LCPUFAs are effective at reducing the risk of tobacco-related adverse neonatal outcomes and/or reducing tobacco use during pregnancy, our results could have an immediate and major impact on pregnancy care and neonatal outcomes.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04417595. Registered on April 21, 2020.

摘要

背景

怀孕期间吸烟是与不良妊娠结局相关的最重要的可改变风险因素,增加了早产、宫内生长受限和婴儿猝死综合征的风险。只有不到一半的孕妇能够自行戒烟。确定安全有效的治疗方法来预防与烟草有关的不良妊娠结局和/或增加孕妇戒烟率,将对公共健康产生重大影响。吸烟与循环中 n-3 长链多不饱和脂肪酸(n-3 LCPUFA)水平相对不足有关。最近的一项分析发现,与非吸烟者相比,怀孕期间服用 n-3 LCPUFA 的吸烟者早产风险降低。研究表明,补充 n-3 LCPUFA 还可能减少尼古丁渴望和每日吸烟量。因此,吸烟者可能会受益于补充 n-3 LCPUFA,从而降低早产风险和/或增加戒烟率。为了解决重要的遗留知识空白,我们提出了研究 n-3 脂肪酸以预防新生儿与烟草相关的结局(INFANTS)。

方法

INFANTS 研究是一项多中心、随机、双盲、安慰剂对照研究,将招募 400 名孕妇吸烟者,随机分配到补充 n-3 LCPUFA 或安慰剂组。参与者将在 12 至 24 周妊娠时入组,并随访至分娩后 6 周。我们将从整个田纳西州中部的临床中心招募参与者。我们将在补充 12 周后通过自我报告和经过验证的烟草暴露生物标志物评估吸烟行为。我们将使用 n-3 LCPUFA 状态的生物标志物来衡量对补充的反应。我们的主要终点是分娩时的孕龄所反映的早产。我们的次要终点是 12 周时每日吸烟量的基线变化。

讨论

这项研究检验了这样一个假设,即吸烟引起的 n-3 LCPUFA 缺乏导致与烟草有关的不良妊娠结局,而在孕妇吸烟者中补充 n-3 LCPUFA 可能预防这些并发症。如果我们的研究表明,补充 n-3 LCPUFA 能有效降低与烟草有关的不良新生儿结局的风险和/或减少怀孕期间的烟草使用,我们的结果可能会对妊娠护理和新生儿结局产生直接而重大的影响。

试验注册

ClinicalTrials.gov NCT04417595。于 2020 年 4 月 21 日注册。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed2b/8670186/d2f38c981a30/13063_2021_5865_Fig1_HTML.jpg

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