Hoofnagle Andrew N
Departments of Laboratory Medicine and Medicine, University of Washington, Seattle, WA
Am J Clin Nutr. 2017 Dec;106(Suppl 6):1615S-1619S. doi: 10.3945/ajcn.117.155895. Epub 2017 Oct 25.
Blood-based indicators that are used in the assessment of iron status are assumed to be accurate. In practice, inaccuracies in these measurements exist and stem from bias and variability. For example, the analytic variability of serum ferritin measurements across laboratories is very high (>15%), which increases the rate of misclassification in clinical and epidemiologic studies. The procedures that are used in laboratory medicine to minimize bias and variability could be used effectively in clinical research studies, particularly in the evaluation of iron deficiency and its associated anemia in pregnancy and early childhood and in characterizing states of iron repletion and excess. The harmonization and standardization of traditional and novel bioindicators of iron status will allow results from clinical studies to be more meaningfully translated into clinical practice by providing a firm foundation for clinical laboratories to set appropriate cutoffs. In addition, proficiency testing monitors the performance of the methods over time. It is important that measures of iron status be evaluated, validated, and performed in a manner that is consistent with standard procedures in laboratory medicine.
用于评估铁状态的血液指标被认为是准确的。实际上,这些测量存在不准确之处,源于偏差和变异性。例如,不同实验室血清铁蛋白测量的分析变异性非常高(>15%),这增加了临床和流行病学研究中的错误分类率。检验医学中用于尽量减少偏差和变异性的程序可有效地用于临床研究,特别是在评估孕期和幼儿期的缺铁及其相关贫血以及确定铁补充和过量状态时。铁状态的传统和新型生物指标的协调与标准化将为临床实验室设定适当的临界值提供坚实基础,从而使临床研究结果能更有意义地转化为临床实践。此外,能力验证会长期监测方法的性能。以与检验医学标准程序一致的方式评估、验证和进行铁状态测量非常重要。