Norwich Medical School, University of East Anglia, Norwich, United Kingdom.
Am J Clin Nutr. 2012 Oct;96(4):768-80. doi: 10.3945/ajcn.112.040626. Epub 2012 Aug 29.
The response of status biomarkers to an increase in iron supply depends on several physiologic and environmental factors, which make it difficult to predict the outcome of an intervention.
We assessed effects of baseline iron status, sex, menopausal status, duration of intervention, iron form, and daily dose on the change in iron status in response to iron supplementation.
A systematic review of randomized controlled trials (RCTs) of iron-supplementation and -fortification trials that assessed effects on hemoglobin, serum ferritin (SF), soluble transferrin receptor, or body iron was conducted. Subgrouping and straight-line and curved metaregression were used to describe the magnitude and dose-responsiveness of effect modifiers with respect to changes in status.
Forty-one RCTs were included; none of the RCTs were judged at low risk of bias. Random-effects meta-analyses showed that iron supplementation significantly improved iron status but with high levels of heterogeneity. Metaregression explained approximately one-quarter of between-study variance in effect size. There were clear effects on SF with study duration (increase in SF concentration/wk: 0.51 μg/L; 95% CI: 0.02, 1.00 μg/L; P = 0.04) and dose (increase in SF concentration/g Fe: 0.10 μg/L; 95% CI: 0.01, 0.20 μg/L; P = 0.036) and on hemoglobin concentrations with baseline iron status [-0.08 g/dL (95% CI: 0.15, 0.00 g/dL) per 10-μg/L increase in baseline SF concentration; P = 0.02]. Insufficient data were available to assess effects on body iron, sex, or menopausal status.
Quantitative relations between baseline iron status, study duration, and iron dose on changes in iron-status biomarkers, which were generated from the meta-analyses, can be used to predict effects of trials of iron supplementation and fortification and to design iron-intervention programs.
铁供应增加对状态生物标志物的反应取决于多种生理和环境因素,这使得难以预测干预的结果。
我们评估了基线铁状态、性别、绝经状态、干预持续时间、铁形式和每日剂量对铁补充后铁状态变化的影响。
系统评价了铁补充和强化试验的随机对照试验(RCT),评估了对血红蛋白、血清铁蛋白(SF)、可溶性转铁蛋白受体或体内铁的影响。亚组分析和直线及曲线荟萃回归用于描述与状态变化相关的效应修饰剂的幅度和剂量反应性。
纳入了 41 项 RCT;没有一项 RCT 被认为有低偏倚风险。随机效应荟萃分析显示,铁补充显著改善了铁状态,但存在高度异质性。荟萃回归解释了研究间效应大小差异的约四分之一。研究持续时间对 SF 有明显影响(SF 浓度/周增加:0.51μg/L;95%CI:0.02,1.00μg/L;P=0.04)和剂量(SF 浓度/g Fe 增加:0.10μg/L;95%CI:0.01,0.20μg/L;P=0.036),基线铁状态对血红蛋白浓度有明显影响[-0.08g/dL(95%CI:0.15,0.00g/dL)/SF 基线浓度每增加 10μg/L;P=0.02]。由于数据不足,无法评估身体铁、性别或绝经状态的影响。
从荟萃分析中得出的基线铁状态、研究持续时间和铁剂量与铁状态生物标志物变化之间的定量关系可用于预测铁补充和强化试验的效果,并设计铁干预方案。