Evidence map›Paper›PMID 41331421›Full record

Observational studyBMC pediatrics2025

Genetic disorders and associated morbidity, mortality, and congenital anomalies in preterm infants born at less than 34 weeks of gestation.

Selin S Everett, Miles Bomback, Aashna Banerjee, Rakesh Sahni, Ronald J Wapner, Veeral N Tolia, Reese H Clark, Alex Lyford, Thomas Hays

Abstract readMulticenter StudyObservational Study
In one paragraph

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

0numbers the graph read from it
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

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Association of preterm birth and congenital anomalies: findings of a Brazilian multicenter study.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2026
    Observational
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

9 authors.

Selin S EverettStanford University School of Medicine, Stanford, CA, USA.
Miles BombackColumbia University, Vagelos College of Physicians and Surgeons, New York City, USA.
Aashna BanerjeeDepartment of Statistics, Middlebury College, Middlebury, VT, USA.
Rakesh SahniDepartment of Pediatrics, Columbia University Irving Medical Center, 622 West 168th Street, Suite PH 17W-303, New York City, 10032, USA.
Ronald J WapnerDivision of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Columbia University Irving Medical Center, New York City, USA.
Veeral N ToliaThe MEDNAX Center for Research, Education, Quality and Safety, Sunrise, FL, USA.
Reese H ClarkDuke University Medical Center, Durham, NC, United States of America.
Alex LyfordDepartment of Statistics, Middlebury College, Middlebury, VT, USA.
Thomas HaysDepartment of Pediatrics, Columbia University Irving Medical Center, 622 West 168th Street, Suite PH 17W-303, New York City, 10032, USA. th2712@cumc.columbia.edu.

Funding

The Genetic Basis of Morbidity and Mortality in Small for Gestational Age Preterm InfantsK23HD113827 · NICHD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Thomas Hays · 2023 to 2026
$666k
NICHD NIH HHS K23 HD113827
6 · The paper itself

Abstract

backgroundGenetic disorders are recognized as key contributors to morbidity, mortality, and congenital anomalies in term infants. However, the rates of diagnosis and association with morbidity, mortality, and congenital anomalies in preterm infants are poorly characterized. We sought to determine rates of diagnosis of genetic disorders in preterm infants and to define the association of genetic disorders with morbidity, mortality, and congenital anomalies.

methodsThis was a multicenter observational cohort study conducted in neonatal intensive care units in the Pediatrix Clinical Data Warehouse. Infants born from 23 to 0/7 to 33 and 6/7 weeks of gestation, admitted to 374 U.S. community and academic neonatal intensive care units from 2000 to 2020 were included. Infants transferred after birth or prior to discharge were excluded. We analyzed diagnosis of genetic disorders; predischarge morbidity (including acute kidney injury, bronchopulmonary dysplasia, necrotizing enterocolitis, sepsis, shock, severe retinopathy, and intracranial hemorrhage); mortality; and presence of congenital anomalies.

resultsAmong 323,770 early preterm infants analyzed, 4,196 (1.3%) were diagnosed with one of twenty genetic disorders. Single gene disorders were identified in 2,250 (0.7%) infants, copy number variants in 88 (0.03%) infants, and aneuploidies in 1,885 (0.6%) infants. Morbidity, mortality, and congenital anomalies occurred in 1,319 (31.4%), 566 (13.5%), and 1,041 (24.8%) infants with genetic disorders compared to 77,957 (24.5%), 15,240 (4.7%), and 9,455 (3.0%) infants without genetic disorders. Common aneuploidies accounted for most of these associations. However, morbidity, mortality, and congenital anomalies were also significantly more common in early preterm infants with single gene disorders and pathogenic copy number variants. We did not detect meaningful differences in diagnostic rates of genetic disorders over the study period.

conclusions1.3% of early preterm infants were diagnosed with genetic disorders. Genetic disorders were strongly associated with morbidity, mortality, and congenital anomalies. Clinicians should strongly consider genetic evaluation in early preterm infants with morbidity, mortality, or congenital anomalies. Prospective research is needed to determine the true prevalence of genetic disorders in this high-risk population.

Indexed as

Congenital AbnormalitiesGenetic Diseases, InbornInfant, Premature, DiseasesCohort StudiesFemaleGestational AgeHumansInfant MortalityInfant, NewbornInfant, PrematureIntensive Care Units, NeonatalMaleUnited StatesGenetic disordersPrematurityPreterm birth

Identifiers

PMID41331421
PMCPMC12781509

What OpenQuestion holds

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Registered trials

None linked

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.