Evidence map›Paper›PMID 31689293›Full record

ArticlePloS one2019

Average and time-specific maternal prenatal inflammatory biomarkers and the risk of labor epidural associated fever.

Dominique Y Arce, Andrea Bellavia, David E Cantonwine, Olivia J Napoli, John D Meeker, Tamarra James-Todd, Thomas F McElrath, Lawrence C Tsen

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

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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

8 authors.

Dominique Y ArceDepartment of Anesthesiology, Perioperative and Pain Medicine, Division of Obstetric Anesthesia, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.ORCID 0000-0001-7318-6254
Andrea BellaviaDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
David E CantonwineDepartment of Obstetrics and Gynecology, Division of Maternal Fetal Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.
Olivia J NapoliLake Erie College of Osteopathic Medicine, Erie, Pennsylvania, United States of America.
John D MeekerDepartment of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America.
Tamarra James-ToddDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
Thomas F McElrathDepartment of Obstetrics and Gynecology, Division of Maternal Fetal Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.
Lawrence C TsenDepartment of Anesthesiology, Perioperative and Pain Medicine, Division of Obstetric Anesthesia, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.

Funding

Research Training for AnesthetistsT32GM007592 · NIGMS · MASSACHUSETTS GENERAL HOSPITAL · PI STUART A FORMAN · 1985 to 2026
$11.8M
Bisphenol A and Phthalate Exposure in Relation to Fetal Growth and Preterm BirthR01ES018872 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MEEKER, JOHN D. · 2010 to 2014
$2.6M
NIEHS NIH HHS R01 ES018872NIGMS NIH HHS T32 GM007592
6 · The paper itself

Abstract

backgroundThe use of labor epidural analgesia has been associated with intrapartum fever, known as labor epidural associated fever (LEAF). LEAF is most commonly non-infectious in origin and associated with elevated inflammatory cytokines.

methodsThe LIFECODES pregnancy cohort was designed to prospectively collect data to evaluate the association of maternal inflammatory biomarkers with preterm birth in women who delivered between 2007 and 2008 at Brigham and Women's Hospital. Our secondary analysis of the data from the cohort identified 182 women for whom inflammatory biomarkers (i.e. interleukin-10, interleukin-1β, interleukin-6, tumor necrosis factor-α and C-reactive protein) collected longitudinally over four prenatal visits was available. Maternal temperature and other clinical variables were abstracted from medical records. The primary outcome, the presence of LEAF, was defined as oral temperature ≥ 38°C (≥100.4°F) after epidural analgesia initiation. Multivariable logistic regression estimated the association between inflammatory biomarker concentrations and the odds of developing an intrapartum fever after adjusting for a number of potential confounders.

resultsWomen who developed LEAF were more likely to have a longer duration of epidural analgesia, whereas women who did not develop LEAF were more likely to have induced labor and positive or unknown Group B Streptococcus colonization status. However, no differences were seen by nulliparity, mode of delivery, white blood cell count at admission, baseline temperature, length of rupture of membranes and number of cervical exams performed during labor. Unadjusted and multivariable logistic regression models did not provide evidence for or exclude an association between individual maternal inflammatory biomarkers and the odds of developing LEAF, regardless of visit time-period.

conclusionThe predictive value of maternal inflammatory biomarkers measured during early- and mid-pregnancy for the risk of developing LEAF cannot be excluded.

Indexed as

AdultAnalgesia, EpiduralAnalgesia, ObstetricalBiomarkersCohort StudiesFemaleFeverHumansInflammation MediatorsLogistic ModelsLongitudinal StudiesMultivariate AnalysisObstetric Labor ComplicationsPregnancyProspective StudiesRisk FactorsBiomarkersInflammation Mediators

Identifiers

PMID31689293
PMCPMC6830771

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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.