Evidence map›Paper›PMID 37083949›Full record

ArticlePloS one2023

Maternal infections in pregnancy and the risk of sudden unexpected infant death in the offspring in the U.S., 2011-2015.

Maggie Weatherly, Anusua Trivedi, Ratna Chembrolu, Sanjana Gupta, Jan-Marino Ramirez, Juan M Lavista Ferres, Tatiana M Anderson, Edwin A Mitchell

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 55% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Review
  2. 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

8 authors at 4 institutions in 2 countries.

Maggie WeatherlyMaster of Science in Data Science, University of Washington, Seattle, Washington, United States of America.
Anusua TrivediAI for Good Lab, Microsoft, Redmond, Washington, United States of America.
Ratna ChembroluMaster of Science in Data Science, University of Washington, Seattle, Washington, United States of America.
Sanjana GuptaMaster of Science in Data Science, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0002-6985-4640
Jan-Marino RamirezSeattle Children's Research Institute, Center for Integrative Brain Research, Seattle, Washington, United States of America.
Juan M Lavista FerresAI for Good Lab, Microsoft, Redmond, Washington, United States of America.ORCID 0000-0002-9654-3178
Tatiana M AndersonAI for Good Lab, Microsoft, Redmond, Washington, United States of America.
Edwin A MitchellDepartment of Paediatrics, Child and Youth Health, The University of Auckland, Auckland, New Zealand.ORCID 0000-0001-6187-7648
Microsoft (United States) · USUniversity of Washington · USSeattle Children's Hospital · USUniversity of Auckland · NZ

Funding

Mechanisms Underlying Sympathetic Activation-dependent Endothelial Cell Activation by Chronic Intermittent HypoxiaP01HL144454 · NHLBI · UNIVERSITY OF CHICAGO · PI PRABHAKAR, NANDURI R · 2019 to 2023
$12.7M
Unraveling respiratory rhythm generation in the medullary networkR01HL126523 · NHLBI · SEATTLE CHILDREN'S HOSPITAL · PI Jan M. Ramirez · 2015 to 2026
$8.3M
Unraveling the dynamic mechanisms underlying opioid respiratory depressionR01HL144801 · NHLBI · SEATTLE CHILDREN'S HOSPITAL · PI Jan M. Ramirez · 2019 to 2026
$5.2M
Neuroglial interactions underlying the generation of the sighR01HL151389 · NHLBI · SEATTLE CHILDREN'S HOSPITAL · PI RAMIREZ, JAN M. · 2020 to 2023
$3.2M
NHLBI NIH HHS P01 HL144454NHLBI NIH HHS R01 HL126523NHLBI NIH HHS R01 HL144801NHLBI NIH HHS R01 HL151389
6 · The paper itself

Abstract

backgroundInfection is thought to play a part in some infant deaths. Maternal infection in pregnancy has focused on chlamydia with some reports suggesting an association with sudden unexpected infant death (SUID).

objectivesWe hypothesized that maternal infections in pregnancy are associated with subsequent SUID in their offspring.

settingAll births in the United States, 2011-2015. DATA SOURCE: Centers for Disease Control and Prevention (CDC) Birth Cohort Linked Birth-Infant Death Data Files. STUDY

designCohort study, although the data were analysed as a case control study. Cases were infants that died from SUID. Controls were randomly sampled infants that survived their first year of life; approximately 10 controls per SUID case. EXPOSURES: Chlamydia, gonorrhea and hepatitis C.

resultsThere were 19,849,690 live births in the U.S. for the period 2011-2015. There were 37,143 infant deaths of which 17,398 were classified as SUID cases (a rate of 0.86/1000 live births). The proportion of the control mothers with chlamydia was 1.7%, gonorrhea 0.2% and hepatitis C was 0.3%. Chlamydia was present in 3.8% of mothers whose infants subsequently died of SUID compared with 1.7% of controls (unadjusted OR = 2.35, 95% CI = 2.15, 2.56; adjusted OR = 1.08, 95% CI = 0.98, 1.19). Gonorrhea was present in 0.7% of mothers of SUID cases compared with 0.2% of mothers of controls (OR = 3.09, (2.50, 3.79); aOR = 1.20(0.95, 1.49)) and hepatitis C was present in 1.3% of mothers of SUID cases compared with 0.3% of mothers of controls (OR = 4.69 (3.97, 5.52): aOR = 1.80 (1.50, 2.15)).

conclusionsThe marked attenuation of SUID risk after adjustment for a wide variety of socioeconomic and demographic factors suggests the small increase in the risk of SUID of the offspring of mothers with infection with hepatitis C in pregnancy is due to residual confounding.

Indexed as

GonorrheaHepatitis CSudden Infant DeathCase-Control StudiesCohort StudiesDeathFemaleHepacivirusHumansInfantInfant MortalityPregnancyUnited States

Identifiers

PMID37083949
PMCPMC10121007
OpenAlexW4366603482

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.