Nutritional Sciences Division, King's College London, Franklin-Wilkins Building, London SE1 9NH, UK.
Br J Nutr. 2012 Jun;107(12):1806-11. doi: 10.1017/S0007114511004971. Epub 2011 Dec 9.
Fe deficiency and Fe-deficiency anaemia are common in patients with inflammatory bowel disease (IBD). Traditional clinical markers of Fe status can be skewed in the presence of inflammation, meaning that a patient's Fe status can be misinterpreted. Additionally, Fe absorption is known to be down-regulated in patients with active IBD. However, whether this is the case for quiescent or mildly active disease has not been formally assessed. The present study aimed to investigate the relationship between Fe absorption, Fe requirements and standard haematological indices in IBD patients without active disease. A group of twenty-nine patients with quiescent or mildly active IBD and twenty-eight control subjects undertook an Fe absorption test that measured sequential rises in serum Fe over 4 h following ingestion of 200 mg ferrous sulphate. At baseline, serum Fe, transferrin saturation, non-transferrin-bound Fe (NTBI), ferritin and soluble transferrin receptor were all measured. Thereafter (30-240 min), only serum Fe and NTBI were measured. Fe absorption did not differ between the two groups (P = 0·9; repeated-measures ANOVA). In control subjects, baseline haematological parameters predicted Fe absorption (i.e. Fe requirements), but this was not the case for patients with IBD. Fe absorption is normal in quiescent or mildly active IBD patients but standard haematological parameters do not accurately predict Fe requirements.
缺铁和缺铁性贫血在炎症性肠病(IBD)患者中很常见。传统的铁状态临床标志物在存在炎症时可能会出现偏差,这意味着患者的铁状态可能会被误解。此外,已知铁吸收在活动性 IBD 患者中受到抑制。然而,静止或轻度活动的疾病是否存在这种情况尚未得到正式评估。本研究旨在调查无活动性疾病的 IBD 患者铁吸收、铁需求和标准血液学指标之间的关系。一组 29 名静止或轻度活动的 IBD 患者和 28 名对照受试者进行了一项铁吸收测试,该测试在摄入 200 毫克硫酸亚铁后 4 小时内测量血清铁的连续升高。在基线时,测量血清铁、转铁蛋白饱和度、非转铁蛋白结合铁(NTBI)、铁蛋白和可溶性转铁蛋白受体。此后(30-240 分钟),仅测量血清铁和 NTBI。两组之间的铁吸收没有差异(P=0.9;重复测量方差分析)。在对照组中,基线血液学参数预测铁吸收(即铁需求),但对于 IBD 患者则不是如此。静止或轻度活动的 IBD 患者的铁吸收正常,但标准血液学参数不能准确预测铁需求。