Evidence map›Paper›PMID 26193688›Full record

ArticleAmerican journal of obstetrics and gynecology2015

Electronic fetal monitoring patterns associated with respiratory morbidity in term neonates.

Lucy Liu, Methodius G Tuuli, Kimberly A Roehl, Anthony O Odibo, George A Macones, Alison G Cahill

Open access · greenAbstract read
In one paragraph

Article in American journal of obstetrics and gynecology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Increased variability of fetal heart rate during labour: a review of preclinical and clinical studies.BJOG : an international journal of obstetrics and gynaecology · 2022
    Review
  5. Article
  6. Article
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 1 institution in 1 country.

Lucy LiuDepartment of Obstetrics and Gynecology, Washington University School of Medicine, St. Louis, MO. Electronic address: liul@wudosis.wustl.edu.
Methodius G TuuliDepartment of Obstetrics and Gynecology, Washington University School of Medicine, St. Louis, MO.
Kimberly A RoehlDepartment of Obstetrics and Gynecology, Washington University School of Medicine, St. Louis, MO.
Anthony O OdiboDepartment of Obstetrics and Gynecology, Washington University School of Medicine, St. Louis, MO.
George A MaconesDepartment of Obstetrics and Gynecology, Washington University School of Medicine, St. Louis, MO.
Alison G CahillDepartment of Obstetrics and Gynecology, Washington University School of Medicine, St. Louis, MO.
Washington University in St. Louis · US

Funding

PREDICTING FETAL ACIDEMIA WITH INTRAPARTUM ELECTRONIC FETAL HEART RATE MONITORINGR01HD061619 · NICHD · WASHINGTON UNIVERSITY · PI CAHILL, ALISON G, MACONES, GEORGE A · 2010 to 2014
$2.9M
NICHD NIH HHS R01 HD061619NICHD NIH HHS R01HD061619-01
6 · The paper itself

Abstract

objectiveThe purpose of this study was to identify electronic fetal monitoring patterns that are associated with neonatal respiratory morbidity. STUDY

designIn an on-going prospective cohort study of >8000 consecutive term, vertex, nonanomalous singleton pregnancies during labor, we performed this analysis within the first 5000 women as a representative sample. Electronic fetal monitoring patterns in the 30 minutes preceding delivery were extracted by trained obstetrics research nurses, who were blinded to clinical data, using the National Institute of Child Health and Human Development system; the data were compared between those with respiratory morbidity and healthy infants (no morbidities). The primary outcome was neonatal respiratory morbidity, which was defined as either oxygen requirement at ≥6 hours of life or any mechanical ventilation in the first 24 hours. Multivariable logistic regression was used to adjust for confounders.

resultsOf 4736 neonates, 175 (3.4%) experienced respiratory morbidity. Most electronic fetal monitoring patterns were category II (96.6%; n = 4575). Baseline tachycardia (adjusted odds ratio [aOR], 2.9; 95% confidence interval [CI], 1.9-4.4), marked variability (aOR, 2.7; 95% CI, 1.5-5.0), and prolonged decelerations (aOR,2.7; 95% CI, 1.5-5.0) were significantly associated with an increased likelihood of term neonatal respiratory morbidity. Accelerations and persistent moderate variability were both significantly associated with a decreased likelihood of respiratory morbidity.

conclusionSpecific features of category II electronic fetal monitoring patterns make respiratory morbidity more likely in nonanomalous term infants. Tachycardia, marked variability, or prolonged decelerations before delivery can assist providers in anticipating the potential need for neonatal respiratory support.

Indexed as

CardiotocographyAdultFemaleHeart Rate, FetalHumansInfant, NewbornMultivariate AnalysisOxygenPregnancyRespiration, ArtificialRespiratory Tract DiseasesTachycardiaOxygenelectronic fetal monitoringneonatal respiratory morbidityterm neonate

Identifiers

PMID26193688
PMCPMC5454805
OpenAlexW1859583802

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.