Improving Anemia Assessment in Clinical and Public Health Settings

被引:11
作者
Williams, Anne M. [1 ,2 ,3 ]
Brown, Kenneth H. [4 ]
Allen, Lindsay H. [5 ]
Dary, Omar [6 ]
Moorthy, Denish [7 ]
Suchdev, Parminder S. [2 ,3 ]
机构
[1] Univ Otago, Dept Human Nutr, Dunedin, New Zealand
[2] Ctr Dis Control & Prevent, Nutr Branch, Atlanta, GA 30333 USA
[3] Emory Univ, Atlanta, GA 30322 USA
[4] Univ Calif Davis, Dept Nutr & Inst Global Nutr, Davis, CA USA
[5] USDA, ARS, Western Human Nutr Res Ctr, Davis, CA USA
[6] US Agcy Int Dev, Div Nutr & Environm Hlth, Bur Global Hlth, Off Maternal & Child Hlth & Nutr, Washington, DC USA
[7] USAID Adv Nutr, Arlington, VA USA
关键词
hemoglobin; anemia assessment; anemia etiology; population-based methods; IRON-DEFICIENCY ANEMIA; BIOMARKERS REFLECTING INFLAMMATION; HEMOGLOBIN CONCENTRATION; NUTRITIONAL DETERMINANTS; WOMEN; CHILDREN; BLOOD; HEMOCUE; CAPILLARY; POPULATIONS;
D O I
10.1016/j.tjnut.2023.05.032
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
We aim to provide a practical approach to assess anemia and its primary causes, both in clinical settings and in the context of public health programs. Anemia remains a global challenge; thus, to achieve goals for anemia reduction and assess progress, standardized approaches are required for the assessment of anemia and its causes. We first provide a brief review of how to assess anemia, based on hemoglobin concentrations and cutoffs that correspond to age, sex, and physiologic status. Next, we discuss how to assess the likely causes of anemia in different settings. The causes of anemia are classified as non-nutritional (for example, because of infection, inflammation, blood loss, or genetic disorders) or nutrition-specific (for example, because of deficiencies of iron, vitamin A, riboflavin, vitamin B12, or folate). There is an important overlap between these 2 categories, such as the increased likelihood of iron deficiency in the context of inflammation. Given the multifaceted nature of anemia etiology, we introduce a framework for anemia assessment based on the "ecology of anemia," which recognizes its many overlapping causes. This conceptual framework is meant to inform what data on anemia causes may need to be collected in population surveys. The framework has a supporting table with information on the diagnostic tests, biomarkers and proposed cutoffs, characteristics, and feasibility of collecting the myriad information that can help elucidate the anemia etiology. We also provide examples of how this framework can be applied to interpret the anemia risk factor data from population-based surveys that can inform decisions about context-specific interventions. Finally, we present research gaps and priorities related to anemia assessment.
引用
收藏
页码:S29 / S41
页数:13
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