Evidence map›Paper›PMID 36650306›Full record

Trial reportPediatric research2023

Impact of race on heart rate characteristics monitoring in very low birth weight infants.

Brynne A Sullivan, Camille J Hochheimer, Pavel Chernyavskiy, William E King, Karen D Fairchild

Open access · greenAbstract readRandomized Controlled TrialMulticenter Study
In one paragraph

Trial report in Pediatric research, 2023. 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
0.8field-weighted citation impact, top 26% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
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

5 authors at 3 institutions in 1 country.

Brynne A SullivanDivision of Neonatology, Department of Pediatrics, University of Virginia School of Medicine, Charlottesville, VA, USA. bsa4m@virginia.edu.
Camille J HochheimerColorado School of Public Health, Aurora, CO, USA.
Pavel ChernyavskiyDepartment of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, USA.
William E KingMedical Predictive Sciences Corporation, Charlottesville, VA, USA.
Karen D FairchildDivision of Neonatology, Department of Pediatrics, University of Virginia School of Medicine, Charlottesville, VA, USA.
University of Virginia · USColorado School of Public Health · USPredictive Science (United States) · US

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
NICHD NIH HHS K23 HD097254NICHD NIH HHS R01 HD072071
6 · The paper itself

Abstract

backgroundA multicenter RCT showed that displaying a heart rate characteristics index (HRCi) predicting late-onset sepsis reduced mortality for VLBW infants. We aimed to assess whether HRCi display had a differential impact for Black versus White infants.

methodsWe performed secondary data analysis of Black and White infants enrolled in the HeRO RCT. We evaluated the predictive performance of the HRCi for infants with Black or White maternal race. Using models adjusted for birth weight, we assessed outcomes and interventions for a race × randomization interaction.

resultsAmong 2607 infants, Black infants had lower birth weight, gestational age, length of stay, and ventilator days, while sepsis and mortality were similar. The HRCi performed equally for sepsis prediction in Black and White infants. We found no differential effect of randomization by race on sepsis, mortality, antibiotic days, length of stay, or ventilator days. However, there was a differential randomization effect by race for blood cultures per patient: White RR 1.11 (95% CrI 1.04-1.18), Black RR 1.00 (0.93-1.07).

conclusionsThe HRCi performed similarly for sepsis prediction in Black and White infants. Randomization to HRCi display increased blood cultures in White but not in Black infants, while the impact on other outcomes or interventions was similar. IMPACT: Predictive analytics, such as heart rate characteristics (HRC) monitoring for late-onset neonatal sepsis, should have equal impact among patients of different race. Infants with Black or White maternal race randomized to HRC display had similar outcomes, but randomization to the study arm increased a related clinical intervention, blood cultures, in White but not in Black infants. This study provides evidence of a differential effect of predictive models on clinical care by race. The work will promote consideration and analysis of equity in the implementation of predictive analytics.

Indexed as

Infant, Very Low Birth WeightSepsisBirth WeightGestational AgeHeart RateHumansInfantInfant, Newborn

Identifiers

PMID36650306
PMCPMC10350468
OpenAlexW4316813502

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.