Evidence map›Paper›PMID 33726745›Full record

ArticleBiomedical engineering online2021

Fetal heart rate development during labour.

Jarle Urdal, Kjersti Engan, Trygve Eftestøl, Solveig H Haaland, Benjamin Kamala, Paschal Mdoe, Hussein Kidanto, Hege Ersdal

Open access · goldAbstract read
In one paragraph

Article in Biomedical engineering online, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Fetal Heart Rate Preprocessing Techniques: A Scoping Review.Bioengineering (Basel, Switzerland) · 2024
    Article
  2. Article
  3. Article
  4. 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

8 authors at 6 institutions in 2 countries.

Jarle UrdalDepartment of Electrical Engineering and Computer Science, University of Stavanger, Stavanger, Norway. jarle.urdal@uis.no.ORCID http://orcid.org/0000-0002-2492-3331
Kjersti EnganDepartment of Electrical Engineering and Computer Science, University of Stavanger, Stavanger, Norway.
Trygve EftestølDepartment of Electrical Engineering and Computer Science, University of Stavanger, Stavanger, Norway.
Solveig H HaalandStrategic Research, Laerdal Medical AS, Stavanger, Norway.
Benjamin KamalaFaculty of Health Sciences, University of Stavanger, Stavanger, Norway.
Paschal MdoeHaydom Lutheran Hospital, Haydom, Manyara, Tanzania.
Hussein KidantoSchool of Medicine, Aga Khan University, Dar es Salaam, Tanzania.
Hege ErsdalDepartment of Anesthesiology and Intensive Care, Stavanger University Hospital, Stavanger, Norway.
University of Stavanger · NOAga Khan University · TZHaydom Lutheran Hospital · TZLaerdal (Norway) · NOMuhimbili National Hospital · TZStavanger University Hospital · NO

Funding

GLOBVAC 228203
6 · The paper itself

Abstract

backgroundFresh stillbirths (FSB) and very early neonatal deaths (VEND) are important global challenges with 2.6 million deaths annually. The vast majority of these deaths occur in low- and low-middle income countries. Assessment of the fetal well-being during pregnancy, labour, and birth is normally conducted by monitoring the fetal heart rate (FHR). The heart rate of newborns is reported to increase shortly after birth, but a corresponding trend in how FHR changes just before birth for normal and adverse outcomes has not been studied. In this work, we utilise FHR measurements collected from 3711 labours from a low and low-middle income country to study how the FHR changes towards the end of the labour. The FHR development is also studied in groups defined by the neonatal well-being 24 h after birth.

methodsA signal pre-processing method was applied to identify and remove time periods in the FHR signal where the signal is less trustworthy. We suggest an analysis framework to study the FHR development using the median FHR of all measured heart rates within a 10-min window. The FHR trend is found for labours with a normal outcome, neonates still admitted for observation and perinatal mortality, i.e. FSB and VEND. Finally, we study how the spread of the FHR changes over time during labour.

resultsWhen studying all labours, there is a drop in median FHR from 134 beats per minute (bpm) to 119 bpm the last 150 min before birth. The change in FHR was significant ([Formula: see text]) using Wilcoxon signed-rank test. A drop in median FHR as well as an increased spread in FHR is observed for all defined outcome groups in the same interval.

conclusionA significant drop in FHR the last 150 min before birth is seen for all neonates with a normal outcome or still admitted to the NCU at 24 h after birth. The observed earlier and larger drop in the perinatal mortality group may indicate that they struggle to endure the physical strain of labour, and that an earlier intervention could potentially save lives. Due to the low amount of data in the perinatal mortality group, a larger dataset is required to validate the drop for this group.

Indexed as

Heart Rate, FetalLabor, ObstetricStillbirthFemaleFetal MonitoringHeartHumansInfant, NewbornMalePregnancyProbabilitySignal Processing, Computer-AssistedFetal heart ratePerinatal mortalitySignal processing

Identifiers

PMID33726745
PMCPMC7962212
OpenAlexW3136030712

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.