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

Samhita Jain, Scott Oltman, Elizabeth Rogers, Kelli Ryckman, Mark Petersen, Rebecca J. Baer, Larry Rand, Xianhua Piao, Laura Jelliffe-Pawlowski

Research output: Contribution to journalArticlepeer-review

Abstract

Objective: 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. Study design: 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. Results: 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). Conclusion: Inflammatory environment in mothers with pre-existing risk factors like obesity, poverty, and prematurity renders offspring more susceptible to neurologic morbidities.

Original languageEnglish (US)
Pages (from-to)1486-1493
Number of pages8
JournalJournal of Perinatology
Volume43
Issue number12
DOIs
StatePublished - Dec 2023

ASJC Scopus subject areas

  • Pediatrics, Perinatology, and Child Health
  • Obstetrics and Gynecology

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