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Record W4417009515 · doi:10.1182/blood-2025-4688

Total effect of gestational hypertension on neonatal iron deficiency in very-preterm infants.

2025· article· en· W4417009515 on OpenAlexaff
Hudson Barr, Valerie Hamilton, Satvinder Ghotra

Bibliographic record

VenueBlood · 2025
Typearticle
Languageen
FieldMedicine
TopicIron Metabolism and Disorders
Canadian institutionsIzaak Walton Killam Health CentreDalhousie University
Fundersnot available
KeywordsOdds ratioIron deficiencyAnemiaPregnancyGestational ageGestational hypertensionHepcidinSmall for gestational ageGestation

Abstract

fetched live from OpenAlex

Abstract Background: Gestational hypertension (GH) is a major risk factor for adverse maternal and perinatal morbidity and outcomes, including placental dysfunction, preterm birth, and fetal growth restriction. Maternal GH is thought to disrupt placental perfusion, potentially reducing placental blood flow and nutrient transfer to the fetus. Moreover, elevated maternal hepcidin reported in pre-eclampsia and some hypertensive pregnancies could impair placental iron transfer in hypertensive pregnancies leading to neonatal iron deficiency and heightened risks of anemia-related developmental impairment. Prior research has highlighted the role of maternal anemia and iron status in neonatal health, but limited studies have explored the specific impact of GH on neonatal iron metabolism. Given the robust pool of evidence highlighting the long-term negative consequences of iron deficiency (ID) during development, it is imperative to identify and address potential sources of ID where possible. This study aims to evaluate whether maternal GH is independently associated with lower neonatal iron status (assessed by serum ferritin) at NICU discharge in very preterm infants. Methods: Guided by a directed acyclic graph, we estimated the total effect of GH on ID using multivariable logistic regression. Covariates entered a priori consisted of maternal anemia, body-mass index, age, smoking during pregnancy, twin gestation, and infant sex. These variables were chosen for their potential to influence both maternal blood pressure and neonatal iron status. Gestational age and birthweight were intentionally omitted to avoid adjustment for post-exposure mediators. Missing data were addressed with 20-fold multiple imputation. Results are reported as adjusted odds ratios (aOR) with 95 % confidence intervals (CI). This analysis drew from a retrospective population-based cohort of very preterm infants (< 32 weeks gestation) born at the IWK Health Centre between 2005 and 2018 to mothers residing in Nova Scotia. Infants with major congenital malformations, chromosomal anomalies, or death before discharge were excluded. Unit protocol provided elemental iron prophylaxis at 2–4 mg/kg/day beginning at 2–4 weeks of age, with dose increases (up to 6 mg/kg/day) guided by serum ferritin (SF) checks every 2–4 weeks. ID at discharge was defined as SF < 50 µg/L. Antenatal and neonatal variables were abstracted from electronic and paper records. Results:Of 262 very-preterm infants, 82 (31.3 %) were iron-deficient at NICU discharge despite supplementation. GH affected 45 (17.2%) of mothers. Iron-deficiency occurred in 48.9% (n = 22/45) of GH-exposed vs 27.6% (n = 60/217) of non-exposed infants (crude OR = 2.50; 95% CI 1.30 – 4.84; p < 0.05). After multiple imputation and adjustment for maternal anemia, body-mass index, age, cigarette use during pregnancy, twin gestation, and neonatal sex, GH remained the only independent predictor of discharge iron-deficiency (aOR = 2.28; 95 % CI 1.13 – 4.62; p < 0.05). No other covariate reached statistical significance. Model diagnostics indicated good fit and no serious collinearity (Hosmer–Lemeshow p = 0.68; all variance-inflation factors < 2). Conclusion: Gestational hypertension markedly increases the risk of iron deficiency in very-preterm infants at NICU discharge, even under standardized iron-supplementation protocols. These findings support the hypothesis that in utero factors linked to GH can diminish the efficacy of standardized post-natal iron therapy. Furthermore, these results could justify closer monitoring or tailored iron dosing for GH-exposed infants, pending prospective studies. Moreover, the present findings underscore the importance of optimizing maternal cardiovascular and hematologic health during pregnancy.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.004
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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.

Opus teacher head0.005
GPT teacher head0.238
Teacher spread0.233 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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