Assessing for prenatal risk factors associated with infant neurologic morbidity using a multivariate analysis.


Journal

Journal of perinatology : official journal of the California Perinatal Association
ISSN: 1476-5543
Titre abrégé: J Perinatol
Pays: United States
ID NLM: 8501884

Informations de publication

Date de publication:
Dec 2023
Historique:
received: 21 05 2023
accepted: 30 10 2023
revised: 19 10 2023
pubmed: 11 11 2023
medline: 11 11 2023
entrez: 10 11 2023
Statut: ppublish

Résumé

To characterize the biochemical and demographic profiles of pregnant people with maternal immune activation (MIA) and identify the prenatal characteristics associated with neurologic morbidity in offspring. This was a retrospective cohort study of 602 mother-infant dyads with births between 2009 and 2010 in California. Multivariable logistic regression was used to build a MIA vulnerability profile including mid-pregnancy biochemical markers and maternal demographic characteristics, and its relationship with infant neurologic morbidity was examined. Of the 602 mother-infant dyads, 80 mothers and 61 infants had diagnoses suggestive of MIA and neurologic morbidity, respectively. Our model, including two demographic and seven biochemical characteristics, identified mothers with MIA with good performance (AUC:0.814; 95% CI:0.7-0.8). Three demographic and five inflammatory markers together identified 80% of infants with neurological morbidity (AUC:0.802, 95% CI:0.7-0.8). Inflammatory environment in mothers with pre-existing risk factors like obesity, poverty, and prematurity renders offspring more susceptible to neurologic morbidities.

Identifiants

pubmed: 37950045
doi: 10.1038/s41372-023-01820-3
pii: 10.1038/s41372-023-01820-3
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1486-1493

Subventions

Organisme : U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS)
ID : R01NS108446

Informations de copyright

© 2023. The Author(s).

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Auteurs

Samhita Jain (S)

Division of Neonatology, Department of Pediatrics, University of California, San Francisco, CA, USA. Samhita.Jain@ucsf.edu.

Scott Oltman (S)

California Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, USA.
Department of Epidemiology & Biostatistics, University of California, San Francisco, CA, USA.

Elizabeth Rogers (E)

Division of Neonatology, Department of Pediatrics, University of California, San Francisco, CA, USA.

Kelli Ryckman (K)

Department of Epidemiology and Biostatistics, Indiana University Bloomington, Bloomington, IN, USA.

Mark Petersen (M)

Division of Neonatology, Department of Pediatrics, University of California, San Francisco, CA, USA.

Rebecca J Baer (RJ)

California Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, USA.
Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.

Larry Rand (L)

California Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, USA.
Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Francisco School of Medicine, San Francisco, CA, USA.

Xianhua Piao (X)

Division of Neonatology, Department of Pediatrics, University of California, San Francisco, CA, USA.
Newborn Brain Research Institute, University of California, San Francisco, CA, USA.
Weill Institute for Neuroscience, University of California, San Francisco, CA, USA.

Laura Jelliffe-Pawlowski (L)

California Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, USA.
Department of Epidemiology & Biostatistics, University of California, San Francisco, CA, USA.

Classifications MeSH