Evidence map›Paper›PMID 33003189›Full record

ArticlePediatric research2021

Newborn metabolic vulnerability profile identifies preterm infants at risk for mortality and morbidity.

Scott P Oltman, Elizabeth E Rogers, Rebecca J Baer, Elizabeth A Jasper, James G Anderson, Martina A Steurer, Matthew S Pantell, Mark A Petersen, J Colin Partridge, Deborah Karasek and 7 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Pediatric research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 18% of its field
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

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. Trial
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  3. Developing a Subset of ICNPHealthcare (Basel, Switzerland) · 2026
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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

17 authors at 3 institutions in 2 countries.

Scott P OltmanCalifornia Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, USA. Scott.Oltman@ucsf.edu.ORCID http://orcid.org/0000-0002-6560-3334
Elizabeth E RogersDepartment of Pediatrics, University of California San Francisco, San Francisco, CA, USA.
Rebecca J BaerCalifornia Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, USA.
Elizabeth A JasperDepartment of Epidemiology, University of Iowa, Iowa City, IA, USA.
James G AndersonDepartment of Pediatrics, University of California San Francisco, San Francisco, CA, USA.
Martina A SteurerDepartment of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA, USA.
Matthew S PantellDepartment of Pediatrics, University of California San Francisco, San Francisco, CA, USA.
Mark A PetersenDepartment of Pediatrics, University of California San Francisco, San Francisco, CA, USA.
J Colin PartridgeDepartment of Pediatrics, University of California San Francisco, San Francisco, CA, USA.
Deborah KarasekCalifornia Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, USA.
Kharah M RossOwerko Centre, Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada.
Sky K FeuerCalifornia Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, USA.
Linda S FranckCalifornia Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, USA.
Larry RandCalifornia Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, USA.
John M DagleDepartment of Pediatrics, University of Iowa, Iowa City, IA, USA.
Kelli K RyckmanDepartment of Epidemiology, University of Iowa, Iowa City, IA, USA.
Laura L Jelliffe-PawlowskiCalifornia Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, USA.
University of California, San Francisco · USUniversity of Iowa · USUniversity of Calgary · CA

Funding

UCSF/Kaiser-DOR Program for Developing Independent Women's Health ResearchersK12HD052163 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ADLER, NANCY E, BRINDIS, CLAIRE D. · 2005 to 2023
$9.3M
NICHD NIH HHS K12 HD052163
6 · The paper itself

Abstract

backgroundIdentifying preterm infants at risk for mortality or major morbidity traditionally relies on gestational age, birth weight, and other clinical characteristics that offer underwhelming utility. We sought to determine whether a newborn metabolic vulnerability profile at birth can be used to evaluate risk for neonatal mortality and major morbidity in preterm infants.

methodsThis was a population-based retrospective cohort study of preterm infants born between 2005 and 2011 in California. We created a newborn metabolic vulnerability profile wherein maternal/infant characteristics along with routine newborn screening metabolites were evaluated for their association with neonatal mortality or major morbidity.

resultsNine thousand six hundred and thirty-nine (9.2%) preterm infants experienced mortality or at least one complication. Six characteristics and 19 metabolites were included in the final metabolic vulnerability model. The model demonstrated exceptional performance for the composite outcome of mortality or any major morbidity (AUC 0.923 (95% CI: 0.917-0.929). Performance was maintained across mortality and morbidity subgroups (AUCs 0.893-0.979).

conclusionsMetabolites measured as part of routine newborn screening can be used to create a metabolic vulnerability profile. These findings lay the foundation for targeted clinical monitoring and further investigation of biological pathways that may increase the risk of neonatal death or major complications in infants born preterm. IMPACT: We built a newborn metabolic vulnerability profile that could identify preterm infants at risk for major morbidity and mortality. Identifying high-risk infants by this method is novel to the field and outperforms models currently in use that rely primarily on infant characteristics. Utilizing the newborn metabolic vulnerability profile for precision clinical monitoring and targeted investigation of etiologic pathways could lead to reductions in the incidence and severity of major morbidities associated with preterm birth.

Indexed as

Infant MortalityInfant, PrematureMorbidityAdultFemaleHumansInfantInfant, NewbornInfant, Premature, DiseasesPregnancyRisk FactorsYoung Adult

Identifiers

PMID33003189
PMCPMC8061535
OpenAlexW3090155896

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.