Evidence map›Paper›PMID 34852708›Full record

ArticleThe journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians2022

Maternal, infant, and environmental risk factors for sudden unexpected infant deaths: results from a large, administrative cohort.

Gretchen Bandoli, Rebecca J Baer, Mallory Owen, Elizabeth Kiernan, Laura Jelliffe-Pawlowski, Stephen Kingsmore, Christina D Chambers

Abstract read
In one paragraph

Article in The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

7 authors.

Gretchen BandoliDepartment of Pediatrics, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0003-2167-8921
Rebecca J BaerCalifornia Preterm Birth Initiative, University of California San Francisco, La Jolla, CA, USA.
Mallory OwenRady Children's Institute for Genomic Medicine, San Diego, CA, USA.
Elizabeth KiernanDepartment of Pediatrics, University of California San Diego, La Jolla, CA, USA.
Laura Jelliffe-PawlowskiCalifornia Preterm Birth Initiative, University of California San Francisco, La Jolla, CA, USA.
Stephen KingsmoreRady Children's Institute for Genomic Medicine, San Diego, CA, USA.
Christina D ChambersDepartment of Pediatrics, University of California San Diego, La Jolla, CA, USA.

Funding

Genomic and Environmental Determinants of Infant Deaths in San Diego County in 2015-2022R01HD101540 · NICHD · RADY PEDIATRIC GENOMICS & SYSTEMS MEDICINE INSTITUTE · PI CHAMBERS, CHRISTINA, KINGSMORE, STEPHEN FRANCIS · 2020 to 2024
$3.5M
Applying Machine Learning in the Prediction and Identification of Children Affected by Prenatal Alcohol ExposureK01AA027811 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BANDOLI, GRETCHEN E. · 2019 to 2023
$865k
NIAAA NIH HHS K01 AA027811NICHD NIH HHS R01 HD101540
6 · The paper itself

Abstract

objectivesMany studies of sudden unexpected infant death (SUID) have focused on individual domains of risk factors (maternal, infant, and environmental), resulting in limited capture of this multifactorial outcome. The objective of this study was to examine the geographic distribution of SUID in San Diego County, and assess maternal, infant, and environmental risk factors from a large, administrative research platform. STUDY

designBirths in California between 2005 and 2017 were linked to hospital discharge summaries and death files. From this retrospective birth cohort, cases of SUID were identified from infant death files in San Diego County. We estimated adjusted hazard ratios (aHRs) for infant, maternal, and environmental factors and SUID in multivariable Cox regression analysis. Models were adjusted for maternal sociodemographic characteristics and prenatal nicotine exposure.

resultsThere were 211 (44/100,000 live births; absolute risk 0.04%) infants with a SUID among 484,905 live births. There was heterogeneity in geographic distribution of cases. Multiparity (0.05%; aHR 1.4, 95% confidence interval (CI) 1.1, 1.9), maternal depression (0.11%; aHR 1.8, 95% CI 1.0, 3.4), substance-related diagnoses (0.27%; aHR 2.3, 95% CI 1.3, 3.8), cannabis-related diagnosis (0.35%; aHR 2.7, 95% CI 1.5, 5.0), prenatal nicotine use (0.23%; aHR 2.5, 95% CI 1.5, 4.2), preexisting hypertension (0.11%; aHR 2.3, 95% CI 1.2, 4.3), preterm delivery (0.09%; aHR 2.1, 95% CI 1.5, 3.0), infant with a major malformation (0.09%; aHR 2.0, 95% CI 1.1, 3.6), respiratory distress syndrome (0.12%; aHR 2.6, 95% CI 1.5, 4.6), and select environmental factors were all associated with SUID.

conclusionsMultiple risk factors were confirmed and expanded upon, and the geographic distribution for SUID in San Diego County was identified. Through this approach, prevention efforts can be targeted to geographies that would benefit the most.

Indexed as

NicotineSudden Infant DeathCohort StudiesFemaleHumansInfantInfant MortalityInfant, NewbornPregnancyRetrospective StudiesRisk FactorsNicotineEpidemiologyperinatal epidemiologyrisk factorsStudy of Mothers and Infantssudden unexpected infant death

Identifiers

PMID34852708
PMCPMC9310558

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.