Evidence map›Paper›PMID 41169896›Full record

ArticleFrontiers in pediatrics2025

Identifying neonatal hyperglycemia thresholds in preterm infants based on retinopathy of prematurity outcomes: proof-of-concept study.

Tammy Movsas, Claudia Nadernejad, Jeannette Prentice, Brooke Dudick, Amy Pribyl, Lena Sanfilippo, Brooke E Geddie

Abstract read
In one paragraph

Article in Frontiers in pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Tammy MovsasResearch and Development Laboratory, PREEMIER LLC, Plymouth, MI, United States.
Claudia NadernejadNeonatology, Helen DeVos Children's Hospital, Corewell Health, Grand Rapids, MI, United States.
Jeannette PrenticeNeonatology, Helen DeVos Children's Hospital, Corewell Health, Grand Rapids, MI, United States.
Brooke DudickDepartment of Bioinformatics, Corewell Health, Grand Rapids, MI, United States.
Amy PribylCorewell Health Research Institute, Clinical Research Operations, Grand Rapids, MI, United States.
Lena SanfilippoCorewell Health Research Institute, Clinical Research Operations, Grand Rapids, MI, United States.
Brooke E GeddiePediatric Ophthalmology, Helen DeVos Children's Hospital, Corewell Health, Grand Rapids, MI, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Neonatal hyperglycemia significantly increases risk for retinopathy of prematurity (ROP) in preterm infants, independent of other major ROP risk factors. However, glucose thresholds predictive of ROP remain undefined. This prospective study explored two glycemic metrics-mean blood glucose and glycated hemoglobin [specifically, glycated fetal hemoglobin for non-transfused infants and a neonatal-adapted hemoglobin A1C assay for transfused infants]-to identify thresholds associated with severe ROP. Methods: Infants born at gestational ages <30 weeks and hospitalized at DeVos Children's Hospital (September 2022-August 2024) were eligible. The final cohort included 98 infants. Blood glucose was monitored per clinical care, and glycated hemoglobin was measured on Day 30 using a research prototype assay. Eye exams were conducted per ROP protocol. Predictive thresholds for each biomarker were evaluated using AUC-ROC analysis. Results: Most cases of severe ROP occurred in the transfused participants, who represent the earliest gestational ages and sickest infants. Both glycated hemoglobin (A1C) and 30-day mean blood glucose were significantly higher in infants with severe ROP compared to counterparts with mild or no ROP. Both biomarkers demonstrated concordant positive predictive values of 94%. Predictive cutoffs were identified as 5.66% for A1C ( Conclusions: Severe ROP may represent a clinical outcome for defining neonatal glycemic thresholds. In this pilot study, preliminary cutoffs for two independent glycemic biomarkers are lower than current NICU intervention criteria; further investigation is needed to potentially refine glucose strategies for ROP mitigation.

Indexed as

blood glucosefetal hemoglobinglycated hemoglobinglycosylated fetal hemoglobinhemoglobin A1Cneonatal hyperglycemianeonatal outcomesretinopathy of prematurity

Identifiers

PMID41169896
PMCPMC12568416

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.