Evidence map›Paper›PMID 38365874›Full record

ArticlePediatric research2024

Sample entropy correlates with intraventricular hemorrhage and mortality in premature infants early in life.

Michael D Scahill, Valerie Chock, Katherine Travis, Molly Lazarus, Eric Helfenbein, Melissa Scala

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Article in Pediatric research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
4.4field-weighted citation impact, top 7% of its field
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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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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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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

6 authors at 3 institutions in 1 country.

Michael D ScahillNeonatal and Developmental Medicine, Stanford University School of Medicine, Palo Alto, CA, USA. mscahill@stanford.edu.ORCID 0000-0002-1547-3375
Valerie ChockNeonatal and Developmental Medicine, Stanford University School of Medicine, Palo Alto, CA, USA.
Katherine TravisDevelopmental Behavioral Medicine, Stanford University School of Medicine, Palo Alto, CA, USA.
Molly LazarusDevelopmental Behavioral Medicine, Stanford University School of Medicine, Palo Alto, CA, USA.
Eric HelfenbeinAdvanced Algorithm Research Center, Hospital Patient Monitoring, Philips Healthcare, Sunnyvale, CA, USA.
Melissa ScalaNeonatal and Developmental Medicine, Stanford University School of Medicine, Palo Alto, CA, USA.
Stanford University · USPhilips (United States) · USStanford Medicine · US

Funding

NIH/NICHD R00 HD084749-01A1
6 · The paper itself

Abstract

backgroundMortality and intraventricular hemorrhage (IVH) are common adverse outcomes in preterm infants and are challenging to predict clinically. Sample entropy (SE), a measure of heart rate variability (HRV), has shown predictive power for sepsis and other morbidities in neonates. We evaluated associations between SE and mortality and IVH in the first week of life.

methodsParticipants were 389 infants born before 32 weeks of gestation for whom bedside monitor data were available. A total of 29 infants had IVH grade 3 or 4 and 31 infants died within 2 weeks of life. SE was calculated with the PhysioNet open-source benchmark. Logistic regressions assessed associations between SE and IVH and/or mortality with and without common clinical covariates over various hour of life (HOL) censor points.

resultsLower SE was associated with mortality by 4 HOL, but higher SE was very strongly associated with IVH and mortality at 24-96 HOL. Bootstrap testing confirmed SE significantly improved prediction using clinical variables at 96 HOL.

conclusionSE is a significant predictor of IVH and mortality in premature infants. Given IVH typically occurs in the first 24-72 HOL, affected infants may initially have low SE followed by a sustained period of high SE. IMPACT: SE correlates with IVH and mortality in preterm infants early in life. SE combined with clinical factors yielded ROC AUCs well above 0.8 and significantly outperformed the clinical model at 96 h of life. Previous studies had not shown predictive power over clinical models. First study using the PhysioNet Cardiovascular Toolbox benchmark in young infants. Relative to the generally accepted timing of IVH in premature infants, we saw lower SE before or around the time of hemorrhage and a sustained period of higher SE after. Higher SE after acute events has not been reported previously.

Indexed as

EntropyHeart RateInfant, PrematureCerebral HemorrhageCerebral Intraventricular HemorrhageFemaleGestational AgeHumansInfantInfant, NewbornInfant, Premature, DiseasesLogistic ModelsMale

Identifiers

PMID38365874
OpenAlexW4391877763

What OpenQuestion holds

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Registered trials

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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.