Evidence map›Paper›PMID 41580570›Full record

ArticlePediatric research2026

Predicting pulmonary hemorrhage in very low birth weight infants.

Natasha Lalos, Sherry Kausch, Brynne Sullivan, Zachary Vesoulis

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Pediatric research, 2026. 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. 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

4 authors.

Natasha LalosDivision of Newborn Medicine, Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA.
Sherry KauschDivision of Neonatology, Department of Pediatrics, University of Virginia School of Medicine, Charlottesville, VA, USA.
Brynne SullivanDivision of Neonatology, Department of Pediatrics, University of Virginia School of Medicine, Charlottesville, VA, USA. BSA4M@uvahealth.org.
Zachary VesoulisDivision of Newborn Medicine, Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA.

Funding

Predictive Informatics Monitoring in the Neonatal Intensive Care UnitR01HD072071 · NICHD · UNIVERSITY OF VIRGINIA · PI KAREN D FAIRCHILD, Brynne Archer Sullivan · 2014 to 2026
$7.6M
Integrated physiomarker, biomarker and clinical predictive analytics for early warning of sepsis and necrotizing enterocolitis in very low birth weight infants.K23HD097254 · NICHD · UNIVERSITY OF VIRGINIA · PI SULLIVAN, BRYNNE ARCHER · 2019 to 2023
$897k
Racial Disparities in Preterm Brain Injury Are Driven by Differences in Cerebral AutoregulationK23NS111086 · NINDS · WASHINGTON UNIVERSITY · PI VESOULIS, ZACHARY ANDREW · 2019 to 2022
$736k
NICHD NIH HHS K23 HD097254NICHD NIH HHS R01 HD072071NINDS NIH HHS K23 NS111086
6 · The paper itself

Abstract

backgroundPulmonary hemorrhage (PH) in very low birth weight (VLBW) infants is a catastrophic event with significant mortality. Predicting PH clinically is challenging, with no tools for early detection. Our objective was to identify candidate physiologic biomarkers using heart rate (HR) and pulse oximetry (SpO

methodsWe conducted a retrospective case-control study of VLBW infants from two level IV NICUs (2016-2023). We matched infants with PH to controls using gestational age, birth weight, and postnatal age. Taking HR and SpO

resultsWe analyzed 48 infants, 24 PH cases, and 24 controls, with similar characteristics. Infants who developed PH exhibited a three-fold rise in POWS starting 24 hours before PH diagnosis. Control infants showed no significant change in POWS.

conclusionPOWS, a predictive model for cardiorespiratory deterioration, showed a rise in predicted risk before the clinical diagnosis of PH. This suggests that cardiorespiratory deterioration signatures precede the clinical diagnosis of PH and can be recognized with a computer algorithm. IMPACT: There are subtle vital sign changes that may indicate impending pulmonary hemorrhage in very low birth weight infants. Cardiorespiratory predictive monitoring could be useful for early warning of deterioration due to pulmonary hemorrhage. This study lays the foundation for the utility of predictive analytics for pulmonary hemorrhage prediction and suggests that a dedicated predictive model for pulmonary hemorrhage may be helpful.

Indexed as

HemorrhageInfant, Very Low Birth WeightLung DiseasesBiomarkersCase-Control StudiesFemaleGestational AgeHeart RateHumansInfant, NewbornMaleOximetryRetrospective StudiesBiomarkers

Identifiers

PMID41580570
PMCPMC12961956

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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.