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. 2022 Dec;35(25):8998-9005.
doi: 10.1080/14767058.2021.2008899. Epub 2021 Dec 1.

Maternal, infant, and environmental risk factors for sudden unexpected infant deaths: results from a large, administrative cohort

Gretchen Bandoli  1   2 , Rebecca J Baer  3 , Mallory Owen  4 , Elizabeth Kiernan  1 , Laura Jelliffe-Pawlowski  3 , Stephen Kingsmore  4 , Christina D Chambers  1   2
Affiliations

Maternal, infant, and environmental risk factors for sudden unexpected infant deaths: results from a large, administrative cohort

Gretchen Bandoli et al. J Matern Fetal Neonatal Med. 2022 Dec.

Abstract

Objectives: Many studies of sudden unexpected infant death (SUID) have focused on individual domains of risk factors (maternal, infant, and environmental), resulting in limited capture of this multifactorial outcome. The objective of this study was to examine the geographic distribution of SUID in San Diego County, and assess maternal, infant, and environmental risk factors from a large, administrative research platform.

Study design: Births in California between 2005 and 2017 were linked to hospital discharge summaries and death files. From this retrospective birth cohort, cases of SUID were identified from infant death files in San Diego County. We estimated adjusted hazard ratios (aHRs) for infant, maternal, and environmental factors and SUID in multivariable Cox regression analysis. Models were adjusted for maternal sociodemographic characteristics and prenatal nicotine exposure.

Results: There were 211 (44/100,000 live births; absolute risk 0.04%) infants with a SUID among 484,905 live births. There was heterogeneity in geographic distribution of cases. Multiparity (0.05%; aHR 1.4, 95% confidence interval (CI) 1.1, 1.9), maternal depression (0.11%; aHR 1.8, 95% CI 1.0, 3.4), substance-related diagnoses (0.27%; aHR 2.3, 95% CI 1.3, 3.8), cannabis-related diagnosis (0.35%; aHR 2.7, 95% CI 1.5, 5.0), prenatal nicotine use (0.23%; aHR 2.5, 95% CI 1.5, 4.2), preexisting hypertension (0.11%; aHR 2.3, 95% CI 1.2, 4.3), preterm delivery (0.09%; aHR 2.1, 95% CI 1.5, 3.0), infant with a major malformation (0.09%; aHR 2.0, 95% CI 1.1, 3.6), respiratory distress syndrome (0.12%; aHR 2.6, 95% CI 1.5, 4.6), and select environmental factors were all associated with SUID.

Conclusions: Multiple risk factors were confirmed and expanded upon, and the geographic distribution for SUID in San Diego County was identified. Through this approach, prevention efforts can be targeted to geographies that would benefit the most.

Keywords: Epidemiology; Study of Mothers and Infants; perinatal epidemiology; risk factors; sudden unexpected infant death.

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Conflict of interest statement

Disclosures of interest: The authors have no conflicts of interest relevant to this article to disclose

Figures

Figure 1.
Figure 1.
Adjusted hazard ratios for maternal sociodemographic factors derived from a single model. Reference not plotted for binary factors. Reference group is infants who did not die in the first year of life. PNC=prenatal care.
Figure 2.
Figure 2.
Adjusted hazard ratios for maternal characteristics and complications (circle markers), infant characteristic and complications (triangle markers), and environmental (square markers) factors. Reference not plotted for binary factors. Adjusted hazard ratios derived from individual models adjusted for sociodemographic factors and prenatal nicotine use (nicotine model only adjusted for sociodemographic factors). Reference group is infants who did not die in the first year of life.
See this image and copyright information in PMC

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