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Iron deficiency in infancy: applying a physiologic framework for prediction
Betsy Lozoff1, Niko Kaciroti, Tomás Walter
1Center for Human Growth and Development, University of Michigan, Ann Arbor, MI 48109-0406, USA. blozoff@umich.edu
Insights
Infant iron deficiency is common. Predictors vary with iron supplementation, highlighting the need for early iron status data in research comparisons.
Area of Science:
- Pediatrics
- Nutritional Science
- Hematology
Background:
- Infants aged 6-24 months face significant risk of iron deficiency.
- Identifying predictors of iron deficiency in this age group is crucial for public health.
Purpose of the Study:
- To apply a physiologic model to identify iron deficiency risk factors in infants.
- To evaluate how iron supplementation affects these risk factors.
Main Methods:
- A study of 1657 Chilean infants (12 months old) randomly assigned to different iron supplementation groups.
- Analysis of venous blood biomarkers including hemoglobin, ferritin, and mean corpuscular volume.
- Logistic regression models used to identify predictors of iron deficiency anemia and iron deficiency without anemia.
Main Results:
- The prevalence of iron deficiency was 34.9% at 12 months.
- Lower 6-month hemoglobin was the strongest predictor of iron deficiency.
- Birth factors (weight, gestation) predicted deficiency in no-added-iron and high-iron groups, but predictors varied with supplementation.
Conclusions:
- Predictors of infant iron deficiency differ based on iron supplementation levels.
- Direct comparison of studies is challenging without consistent data on early iron status and supplementation conditions.
Background:
Infants aged 6-24 mo are at high risk of iron deficiency. Numerous studies worldwide have sought to identify predictors of iron deficiency in this age group.
Objective:
The objectives of the study were to apply a physiologic model to identify risk factors for iron deficiency and to consider those risk factors under different conditions of iron supplementation. We predicted that factors related to iron status at birth (lower gestational age and lower birth weight), postnatal needs for iron (more rapid growth), and bioavailable iron (more cow milk) would be major risk factors.
Design:
The physiologic framework was assessed in 1657 Chilean infants (aged 12 mo) with birth weights >or=3 kg who were randomly assigned at age 6 mo to high or low iron supplementation or no added iron. Based on venous blood, the analysis used mean corpuscular volume and concentrations of hemoglobin, free erythrocyte protoporphyrin, and ferritin. Logistic regression models were used to identify predictors of iron deficiency anemia and iron deficiency without anemia.
Results:
The prevalence of iron deficiency (>or=2 abnormal iron measures) was 34.9% at age 12 mo. Of 186 infants with hemoglobin concentrations <110 g/L, 158 (84.9%) were iron deficient. The only consistent (and the strongest) predictor of iron deficiency or iron deficiency anemia was lower 6-mo hemoglobin. Factors related to poorer iron status at birth (lower birth weight, shorter gestation though full-term, or both) were predictors in the no-added-iron and high-iron groups. Otherwise, predictors varied by iron supplementation.
Conclusion:
Variations in predictors of iron deficiency or iron deficiency anemia according to iron supplementation suggest that direct comparisons across studies are tenuous at best without data on early iron status and certainty that specific conditions are comparable.
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