Evidence map›Paper›PMID 41090526›Full record

ArticleActa obstetricia et gynecologica Scandinavica2025

Carbon monoxide levels, smoking and adverse pregnancy outcomes.

Katarzyna Galka, Michael Shea, Christina Y L Aye, Lawrence Impey

Abstract read
In one paragraph

Article in Acta obstetricia et gynecologica Scandinavica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Carbon monoxide levels, smoking and adverse pregnancy outcomes.Acta obstetricia et gynecologica Scandinavica · 2025
    Article
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Katarzyna GalkaNuffield Department of Women's Reproductive Health, John Radcliffe Hospital, Oxford University, Oxford, UK.ORCID 0009-0005-8989-7049
Michael SheaFetal Medicine Unit, Women's Centre, John Radcliffe Hospital, Oxford, UK.
Christina Y L AyeNuffield Department of Women's Reproductive Health, John Radcliffe Hospital, Oxford University, Oxford, UK.
Lawrence ImpeyNuffield Department of Women's Reproductive Health, John Radcliffe Hospital, Oxford University, Oxford, UK.ORCID 0000-0002-4462-112X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIdentifying pregnant smokers is crucial for cessation support and increased fetal surveillance, but some patients may not disclose their smoking. Biochemical markers like breath carbon monoxide (CO) can improve detection, yet the optimal CO threshold for predicting smoking-related risks remains unknown. Our objective was to assess the relationship between smoking, CO levels, and adverse pregnancy outcomes. MATERIAL AND

methodsThis retrospective cohort study analyzed 1 year of pregnancies (2023) in Oxford. Birthweight and adverse outcomes, small for gestational age (SGA), preterm birth (PTB), and extended perinatal mortality (EPM) were compared across CO categories and between self-reported smokers and nonsmokers with CO ≤2 and >2 ppm. Statistical analyses included changepoint analysis, one-way ANOVA, the Cochran-Armitage test for trend, binary logistic regression, and univariate linear regression.

resultsOf 6963 pregnancies, 5041 (72.4%) had recorded CO levels. The mean gestation at birth was 39 + 6 weeks, and the mean birthweight (BW) was 3439 g (560); the mean BW centile was 54.25 (28.00). The prevalence of SGA, PTB, and EPM was 6.7%, 5.0%, and 0.6%, respectively. CO levels were >2 ppm in 11.7% of the cohort, including 5.0% of self-reported non-smokers. Changepoint analysis identified 2 ppm as the threshold for mean birthweight. Above this level, each 1 ppm increase in CO was associated with a 69.35 g decrease in BW and a 3.15-point decrease in BW centile, indicating a dose-response relationship. Above 2 ppm, the odds of adverse outcomes were significantly increased: for SGA, OR 2.05-3.37; for PTB, OR 1.50-3.21; and for EPM, OR 2.52-4.22. Compared to non-smokers with low CO, smokers with high CO had the highest risk of all outcomes. Non-smokers with high CO had increased risks, but not significantly.

conclusionsAt a threshold of >2 ppm, CO was associated with lower mean birthweight and higher rates of SGA and PTB, with a dose-response relationship. Universal CO testing could help identify and quantify risk in pregnancy.

Indexed as

Carbon MonoxidePregnancy ComplicationsPregnancy OutcomePremature BirthSmokingAdultBirth WeightFemaleHumansInfant, NewbornInfant, Small for Gestational AgePerinatal MortalityPregnancyRetrospective StudiesCarbon Monoxidebirth weightbreath testscarbon monoxidecigarette smokingpregnancy outcomepremature birthsmall for gestational age

Identifiers

PMID41090526
PMCPMC12668819

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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.