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

Area of Science:

• Obstetrics and Gynecology
• Neonatology
• Immunology

Background:

• Maternal immune activation (MIA) is a growing concern in pregnancy.
• Understanding MIA's impact on offspring neurologic development is crucial.
• Prenatal risk factors for MIA and subsequent infant morbidity require further characterization.

Purpose of the Study:

• To define the biochemical and demographic profiles of pregnant individuals experiencing MIA.
• To identify prenatal characteristics linked to neurologic morbidity in offspring.
• To develop predictive models for MIA and infant neurologic outcomes.

Main Methods:

• Retrospective cohort study of 602 mother-infant dyads.
• Analysis of mid-pregnancy biochemical markers and maternal demographic data.
• Multivariable logistic regression to build MIA vulnerability and neurologic morbidity profiles.

Main Results:

• A model with 2 demographic and 7 biochemical markers accurately identified mothers with MIA (AUC: 0.814).
• A combined profile of 3 demographic and 5 inflammatory markers predicted 80% of infants with neurologic morbidity (AUC: 0.802).
• Specific maternal risk factors like obesity, poverty, and prematurity were associated with increased susceptibility.

Conclusions:

• The inflammatory maternal environment, exacerbated by risk factors, heightens offspring vulnerability to neurologic morbidities.
• Predictive models incorporating demographic and biochemical markers can aid in identifying at-risk pregnancies.
• Early identification and intervention strategies are warranted for pregnancies with MIA risk factors.