Evidence map›Paper›PMID 35780234›Full record

Observational studyJournal of perinatology : official journal of the California Perinatal Association2022

A predictive clinical model for moderate to severe intraventricular hemorrhage in very low birth weight infants.

Rachel M Weinstein, Charlamaine Parkinson, Allen D Everett, Ernest M Graham, Dhananjay Vaidya, Frances J Northington

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Journal of perinatology : official journal of the California Perinatal Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.2field-weighted citation impact, top 6% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Rachel M WeinsteinDivision of Neonatal-Perinatal Medicine, Northwestern University, Chicago, IL, USA.
Charlamaine ParkinsonDivision of Neonatal-Perinatal Medicine, Johns Hopkins University, Baltimore, MD, USA.
Allen D EverettBlalock-Taussig-Thomas Congenital Heart Center, Johns Hopkins University, Baltimore, MD, USA.
Ernest M GrahamDepartment of Obstetrics and Gynecology, Johns Hopkins Hospital, Baltimore, MD, USA.ORCID 0000-0003-1362-7083
Dhananjay Vaidya *Department of Epidemiology, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0002-7164-1601
Frances J Northington *Division of Neonatal-Perinatal Medicine, Johns Hopkins University, Baltimore, MD, USA. Frances@jhmi.edu.ORCID 0000-0003-4557-2646
Johns Hopkins University · USJohns Hopkins Hospital · USNorthwestern University · US

Funding

Adult Biomarkers in Neonatal Brain Injury and DevelopmentR01HD086058 · NICHD · JOHNS HOPKINS UNIVERSITY · PI EVERETT, ALLEN D, NORTHINGTON, FRANCES J · 2016 to 2020
$3.1M
Advanced therapeutic hypothermia efficacy network modeling in neonatal HIER01HD110091 · NICHD · JOHNS HOPKINS UNIVERSITY · PI EVERETT, ALLEN D, NORTHINGTON, FRANCES J · 2022 to 2025
$2.7M
NICHD NIH HHS R01 HD086058NICHD NIH HHS R01 HD110091
6 · The paper itself

Abstract

importanceIntraventricular hemorrhage (IVH) occurs in 15-45% of all very low birth weight (VLBW) preterm infants. Despite improvements in the perinatal care, the incidence of IVH remains high. As more preterm infants survive, there will be a larger burden of neurodevelopmental abnormalities borne by former preterm infants.

objectiveThe objective of this study was to develop a predictive clinical model of IVH risk within the first few hours of life in an effort to augment perinatal counseling and guide the timing of future targeted therapies aimed at preventing or slowing the progression of disease.

designThis is a prospective observational cohort study of VLBW infants born in the NICU at John's Hopkins Children's Center from 2011 to 2019. The presence and severity of IVH was defined on standard head ultrasound screening (HUS) using the modified Papile classification. Clinical variables were identified as significant using absolute risk regression from a general linear model. The model predictors included clinically meaningful variables that were not collinear.

settingThis study took place at the Johns Hopkins Children's Center Level IV NICU.

participantsThe study sample included VLBW infants treated in the neonatal intensive care unit (NICU) at John's Hopkins Children's Center from 2011 to 2019. A total of 683 infants included in the study had no or grade I IVH, and 115 infants had grades II through IV IVH. Exclusion criteria included admission to the JHH NICU after 24 h of age, BW > 1500 g, and failure to consent. MAIN OUTCOME: The main outcome of this study was the presence of grades II-IV IVH on standard head ultrasound screening using the modified Papile classification [1].

resultsA total of 798 VLBW infants were studied in this cohort and 14.4% had moderate to severe IVH. Fifty four percent of the cohort was black, 33% white, and half of the cohort was male. A higher gestational age, 5-min Apgar score, hematocrit, and platelet count were significantly associated with decreased incidence of IVH in a multi-predictor model (ROC 0.826). CONCLUSION AND RELEVANCE: In the face of continued lack of treatments for IVH, prevention is still a primary goal to avoid long-term developmental sequela. This model can be used for perinatal counseling and may provide important information during the narrow therapeutic window for targeted prevention therapies.

Indexed as

Infant, PrematureInfant, Premature, DiseasesCerebral HemorrhageChildChild, PreschoolCohort StudiesFemaleGestational AgeHumansInfantInfant, NewbornInfant, Very Low Birth WeightMalePregnancyRetrospective Studies

Identifiers

PMID35780234
PMCPMC12452877
OpenAlexW4283775155

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.