Nearly Half of Extreme Preterm Infants Are Iron Deficient at 4-6 Months of Corrected Age Despite Prophylactic Iron Supplementation
Bibliographic record
Abstract
Background: Iron deficiency (ID) is the most prevalent micronutrient deficiency globally and has been associated with negative neurodevelopmental and behavioral outcomes in infants and young children. Susceptibility to ID is heightened in preterm infants due to lower iron reserves at birth, rapid growth during the initial weeks of life, immature erythropoiesis, and frequent blood samplings during hospitalization. To mitigate this problem, international bodies recommend prophylactic iron therapy from 2-6 weeks of age until at least 6-12 months in preterm infants. Currently, the literature regarding iron status in extremely preterm infants (EPI, infants born less than 28 weeks gestational age) who receive prophylactic iron supplementation after birth is limited. Considering the potential long-term detrimental effects of ID on the developing brain of these high-risk preterm infants, examining the prevalence and risk factors for ID are crucial to implement prevention strategies. Objective: To investigate the prevalence and risk factors associated with ID in EPI Methods: A retrospective cohort study was conducted using a population-based Provincial Perinatal Follow-Up database on all live EPIs born in Nova Scotia between 2005 and 2018. Infants with congenital malformations, chromosomal anomalies, blood disorders or those who died before outcome assessment were excluded. Prophylactic iron supplementation (2-3 mg/kg/day) starting at 2-4 weeks of chronological age was a standard of care for all included infants. Further, the dosage of iron was adjusted regularly during the hospital stay based on serum ferritin (SF) levels. Discharge instructions recommended continuing iron prophylaxis until 9-12 months corrected age (CA). At 4-6 months CA, all infants underwent blood tests to evaluate hemoglobin, and SF levels. ID was defined as SF levels below 20g/L or 12g/L at 4 and 6 months CA, respectively. A univariate analysis was performed by using a series of single-variable logistic regression models to identify the factors associated with presence of ID. Factors with a p-value < 0.20 in the univariate analysis were entered into a multivariable risk model using a backward selection procedure. Variables with a p-value < 0.05 were retained. Results: Among 146 infants, 67 (45.9%) had ID. Ferritin (16.4 µg/L vs 50.0 µg/L, p < .001) and reticulocyte hemoglobin equivalent (28.4pg vs 31.6pg, p < .001) were significantly lower in the ID group than non-ID group. The prevalence of ID decreased over time, from 59.7% in 2005-2011 to 40.3% in 2012-2018 (p = 0.52). Table 1 compares the antenatal and neonatal characteristics of the ID and non-ID groups. Table 2 compares sociodemographic variables and clinical variables at 4-6 months CA between two groups. Breastfeeding (exclusive or partial) versus formula alone at a 4-6 months CA was identified as an independent factor protective for ID (Odds: 0.2 (0.1 - 0.6), p = 0.003). Iron therapy at follow-up was also protective for ID but did not remain significant in the final model. Of note, iron therapy was stopped in 40 (27.4%) EPI before 4-6 months CA. Supplemental iron intake at 4-6 months CA was significantly lower in the infants receiving exclusive formula feeding (66.1%) compared with those breastfed (99.1%, p = 0.006). Conclusion(s): Despite prophylactic iron supplementation, nearly half of the EPI had ID at 4-6 months CA, and iron therapy was discontinued in roughly a quarter of all EPI before 4-6 months CA. Breastfeeding at 4-6 months follow-up was found to be protective for ID. High prevalence of ID in EPI highlights the need for further research in this area to avert the negative neurodevelopmental consequences of ID on the developing brain of these high-risk infants. Closer monitoring of iron status and early identification of children at high risk for ID is imperative to maximize the benefits of prophylactic iron supplementation in EPI. Further, there is lack of sufficient data for iron requirements in EPI leading to a variability in iron therapy recommendations by different professional organizations. Future prospective studies to investigate specific iron requirements of EPI as well as risk factors for ID in this high-risk vulnerable population are essential to optimize their neurodevelopmental outcomes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".