Evidence map›Paper›PMID 36578660›Full record

ArticleFrontiers in pediatrics2022

Detection of spontaneous preterm birth by maternal urinary volatile organic compound analysis: A prospective cohort study.

Emma Ronde, Nina M Frerichs, Shauni Brantenaar, Sofia El Manouni El Hassani, Alfian N Wicaksono, James A Covington, Nanne K H De Boer, Tim G De Meij, Thomas Hankemeier, Irwin K M Reiss and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pediatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 37% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

11 authors at 3 institutions in 2 countries.

Emma RondeDivision of Obstetrics and Prenatal Diagnosis, Erasmus University Medical Centre, Rotterdam, Netherlands.
Nina M FrerichsDepartment of Pediatric Gastroenterology, Amsterdam University Medical Centre, Amsterdam, Netherlands.
Shauni BrantenaarDivision of Obstetrics and Prenatal Diagnosis, Erasmus University Medical Centre, Rotterdam, Netherlands.
Sofia El Manouni El HassaniDepartment of Pediatric Gastroenterology, Amsterdam University Medical Centre, Amsterdam, Netherlands.
Alfian N WicaksonoSchool of Engineering, University of Warwick, Coventry, United Kingdom.
James A CovingtonSchool of Engineering, University of Warwick, Coventry, United Kingdom.
Nanne K H De BoerDepartment of Pediatric Gastroenterology, Amsterdam University Medical Centre, Amsterdam, Netherlands.
Tim G De MeijDepartment of Pediatric Gastroenterology, Amsterdam University Medical Centre, Amsterdam, Netherlands.
Thomas HankemeierDivision of Analytical Biosciences, Leiden Academic Centre for Drug Research, Leiden University, Leiden, Netherlands.
Irwin K M ReissDepartment of Pediatrics, Division of Neonatology, Erasmus University Medical Centre, Rotterdam, Netherlands.
Sam SchoenmakersDivision of Obstetrics and Prenatal Diagnosis, Erasmus University Medical Centre, Rotterdam, Netherlands.
Erasmus University Rotterdam · NLUniversity of Warwick · GBLeiden University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate prediction of preterm birth is currently challenging, resulting in unnecessary maternal hospital admittance and fetal overexposure to antenatal corticosteroids. Novel biomarkers like volatile organic compounds (VOCs) hold potential for predictive, bed-side clinical applicability. In a proof of principle study, we aimed to assess the predictive potential of urinary volatile organic compounds in the identification of pregnant women at risk for preterm birth. Urine samples of women with a high risk for preterm birth (≧24 + 0 until 36 + 6 weeks) were collected prospectively and analyzed for VOCs using gas chromatography coupled with an ion mobility spectrometer (GS-IMS). Urinary VOCs of women delivering preterm were compared with urine samples of women with suspicion of preterm birth collected at the same gestation period but delivering at term. Additionally, the results were also interpreted in combination with patient characteristics, such as physical examination at admission, microbial cultures, and placental pathology. In our cohort, we found that urinary VOCs of women admitted for imminent preterm birth were not significantly different in the overall group of women delivering preterm vs. term. However, urinary VOCs of women admitted for imminent preterm birth and delivering between 28 + 0 until 36 + 6 weeks compared to women with a high risk for preterm birth during the same gestation period and eventually delivering at term (>37 + 0 weeks) differed significantly (area under the curve: 0.70). In addition, based on the same urinary VOCs, we could identify women with a confirmed chorioamnionitis (area under the curve: 0.72) and urinary tract infection (area under the curve: 0.97). In conclusion, urinary VOCs hold potential for non-invasive, bedside prediction of preterm birth and on the spot identification of intra-uterine infection and urinary tract infections. We suggest these observations are further explored in larger populations.

Indexed as

biomarkersmetabolomemicrobiomepreterm (birth)volatile organic compound (VOC)

Identifiers

PMID36578660
PMCPMC9791099
OpenAlexW4311130487

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.