Evidence map›Paper›PMID 36771294›Full record

ArticleNutrients2023

Abnormal Maternal Body Mass Index and Customized Fetal Weight Charts: Improving the Identification of Small for Gestational Age Fetuses and Newborns.

Nieves Luisa González González, Enrique González Dávila, Agustina González Martín, Marina Armas, Laura Tascón, Alba Farras, Teresa Higueras, Manel Mendoza, Elena Carreras, María Goya

Abstract read
In one paragraph

Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Nieves Luisa González GonzálezDepartment of Obstetrics and Gynecology, University of La Laguna, Hospital Universitario de Canarias, 38200 Tenerife, Spain.
Enrique González DávilaDepartment of Mathematics, Statistics and Operations Research, IMAULL, University of La Laguna, 38200 Tenerife, Spain.ORCID 0000-0002-0781-9161
Agustina González MartínDepartment of Obstetrics and Gynecology, Hospital Universitario Ntra Sra de Candenlaria, 38200 Tenerife, Spain.
Marina ArmasDepartment of Pediatrics, Evangelisches Krakenhaus König Elisabeth Herzberge, 10365 Berlin, Germany.
Laura TascónDepartment of Obstetrics and Gynecology, University of La Laguna, Hospital Universitario de Canarias, 38200 Tenerife, Spain.
Alba FarrasMaternal-Fetal Medicine Unit, Department of Obstetrics, Hospital Universitari Vall d'Hebron, Universitat Autónoma de Barcelona, Pg. de la Vall d'Hebron, 119, 08035 Barcelona, Spain.ORCID 0000-0003-2100-7693
Teresa HiguerasMaternal-Fetal Medicine Unit, Department of Obstetrics, Hospital Universitari Vall d'Hebron, Universitat Autónoma de Barcelona, Pg. de la Vall d'Hebron, 119, 08035 Barcelona, Spain.
Manel MendozaMaternal-Fetal Medicine Unit, Department of Obstetrics, Hospital Universitari Vall d'Hebron, Universitat Autónoma de Barcelona, Pg. de la Vall d'Hebron, 119, 08035 Barcelona, Spain.ORCID 0000-0002-3030-3833
Elena CarrerasMaternal-Fetal Medicine Unit, Department of Obstetrics, Hospital Universitari Vall d'Hebron, Universitat Autónoma de Barcelona, Pg. de la Vall d'Hebron, 119, 08035 Barcelona, Spain.
María GoyaMaternal-Fetal Medicine Unit, Department of Obstetrics, Hospital Universitari Vall d'Hebron, Universitat Autónoma de Barcelona, Pg. de la Vall d'Hebron, 119, 08035 Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity and thinness are serious diseases, but cases with abnormal maternal weight have not been excluded from the calculations in the construction of customized fetal growth curves (CCs).

methodTo determine if the new CCs, built excluding mothers with an abnormal weight, are better than standard CCs at identifying SGA. A total of 16,122 neonates were identified as SGA, LGA, or AGA, using the two models. Logistic regression and analysis of covariance were used to calculate the OR and CI for adverse outcomes by group. Gestational age was considered as a covariable.

resultsThe SGA rates by the new CCs and by the standard CCs were 11.8% and 9.7%, respectively. The SGA rate only by the new CCs was 18% and the SGA rate only by the standard CCs was 0.01%. Compared to AGA by both models, SGA by the new CCs had increased rates of cesarean section, (OR 1.53 (95% CI 1.19, 1.96)), prematurity (OR 2.84 (95% CI 2.09, 3.85)), NICU admission (OR 5.41 (95% CI 3.47, 8.43), and adverse outcomes (OR 1.76 (95% CI 1.06, 2.60). The strength of these associations decreased with gestational age.

conclusionThe use of the new CCs allowed for a more accurate identification of SGA at risk of adverse perinatal outcomes as compared to the standard CCs.

Indexed as

Fetal WeightInfant, Small for Gestational AgeBirth WeightBody Mass IndexCesarean SectionFemaleFetal Growth RetardationFetusGestational AgeHumansInfant, NewbornPregnancybirthweightcustomized growth chartsfetal weightmaternal body mass indexnewborn weightobesityperinatal outcomessmall for gestational agethinness

Identifiers

PMID36771294
PMCPMC9920601

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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.