Evidence map›Paper›PMID 31726960›Full record

ArticleJournal of the American Heart Association2019

Impaired Fetal Environment and Gestational Age: What Is Driving Mortality in Neonates With Critical Congenital Heart Disease?

Martina A Steurer, Shabnam Peyvandi, Rebecca J Baer, Scott P Oltman, Christina D Chambers, Mary E Norton, Kelli K Ryckman, Anita J Moon-Grady, Roberta L Keller, Stephen C Shiboski and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
4.8field-weighted citation impact, top 5% 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

27 citing papers in PubMed, 41 citations in OpenAlex.

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  8. Adverse fetal/neonatal and obstetric outcomes in pregnancies with both maternal and fetal heart disease.Journal of perinatology : official journal of the California Perinatal Association · 2024
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  16. Fetal Brain Development in Congenital Heart Disease.The Canadian journal of cardiology · 2023
    Review
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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

11 authors at 3 institutions in 1 country.

Martina A SteurerDepartment of Pediatrics University of California San Francisco San Francisco CA.
Shabnam PeyvandiDepartment of Pediatrics University of California San Francisco San Francisco CA.
Rebecca J BaerDepartment of Pediatrics University of California San Diego La Jolla CA.
Scott P OltmanDepartment of Epidemiology and Biostatistics University of California San Francisco San Francisco CA.
Christina D ChambersDepartment of Pediatrics University of California San Diego La Jolla CA.
Mary E NortonDepartment of Obstetrics, Gynecology, and Reproductive Sciences University of California San Francisco San Francisco CA.
Kelli K RyckmanDepartment of Epidemiology College of Public Health University of Iowa Iowa City IA.
Anita J Moon-GradyDepartment of Pediatrics University of California San Francisco San Francisco CA.
Roberta L KellerDepartment of Pediatrics University of California San Francisco San Francisco CA.
Stephen C ShiboskiDepartment of Epidemiology and Biostatistics University of California San Francisco San Francisco CA.
Laura L Jelliffe-PawlowskiDepartment of Epidemiology and Biostatistics University of California San Francisco San Francisco CA.
University of California, San Francisco · USUniversity of California, San Diego · USUniversity of Iowa · US

Funding

Fetal markers of neurodevelopmental outcomes in congenital heart diseaseK23NS099422 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PEYVANDI, SHABNAM · 2017 to 2021
$961k
NINDS NIH HHS K23 NS099422
6 · The paper itself

Abstract

Background Infants with critical congenital heart disease (CCHD) are more likely to be small for gestational age (SGA) or born to mothers with maternal placental syndrome. The objective of this study was to investigate the relationship between maternal placental syndrome, SGA, and gestational age (GA) on 1-year mortality in infants with CCHD. Methods and Results In a population-based administrative database of all live-born infants in California (2007-2012) we identified all infants with CCHD without chromosomal anomalies. Our primary predictor was an impaired fetal environment (IFE), defined as presence of maternal placental syndrome or SGA. We calculated hazard ratios to quantify the association between different components of IFE and 1-year mortality and conducted a causal mediation analysis to assess GA at birth as a mediator. We identified 6863 infants with CCHD. IFE was present in 25.1%. Infants with IFE were more likely to die than infants without IFE (16.6% versus 11.1%; hazard ratios 1.55, 95% CI 1.34-1.78). Only SGA (hazard ratios 1.76, 95% CI 1.50-2.05) and placental abruption (hazard ratios 1.70, 95% CI 1.17-2.48) were significantly associated with mortality; preeclampsia and gestational hypertension had no significant association with mortality. The mediation analysis showed that 32.8% (95% CI 24.9-47.0%) of the relationship between IFE and mortality is mediated through GA. Conclusions IFE is a significant contributor to outcomes in the CCHD population. SGA and placental abruption are the main drivers of postnatal mortality while other maternal placental syndrome components had much less of an impact. Only one third of the effect between IFE and mortality is mediated through GA.

Indexed as

Gestational AgeHeart Defects, CongenitalInfant MortalityAbruptio PlacentaeChronic DiseaseEclampsiaFemaleHumansHypertensionHypertension, Pregnancy-InducedInfantInfant, NewbornInfant, Small for Gestational AgeMalePre-EclampsiaPregnancycongenital heart diseasefetal environmentmaternal placental syndromesmall for gestational age

Identifiers

PMID31726960
PMCPMC6915289
OpenAlexW2986007373

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.