Distinct Populations of Sudden Unexpected Infant Death Based on Age
Juan M Lavista Ferres1, Tatiana M Anderson2, Richard Johnston1
1Microsoft Corporation, Redmond, Washington.
Insights
Sudden unexpected early neonatal deaths (SUENDs) are distinct from later SUID cases. Recognizing SUENDs as a separate category improves understanding of infant mortality causes.
Area of Science:
- Pediatrics
- Neonatology
- Public Health
Background:
- Sudden unexpected infant death (SUID) is often analyzed as a single group.
- This approach may obscure critical differences in SUID subpopulations.
- Understanding distinct SUID categories is crucial for targeted prevention and research.
Purpose of the Study:
- To determine if SUID cases can be statistically differentiated based on infant age at death.
- To identify distinct subcategories within SUID for more precise analysis.
Main Methods:
- Retrospective analysis of the CDC Birth Cohort Linked Birth/Infant Death Data Set (2003-2013).
- Logistic regression models used to identify SUID subpopulations by age.
- Covariate analysis performed on identified groups.
Main Results:
- Two distinct SUID groups identified: sudden unexpected early neonatal deaths (SUENDs, 0-6 days) and postperinatal SUIDs (7-364 days).
- Significant differences observed in ICD-10 codes, birth order, maternal age, birth weight, and gestational length between SUENDs and postperinatal SUIDs.
- Maternal smoking was not a significant risk factor for deaths within the first 48 hours.
Conclusions:
- Sudden unexpected early neonatal deaths (SUENDs) should be treated as a distinct entity from postperinatal SUIDs.
- This differentiation can enhance epidemiological and mechanistic understanding of infant deaths.
- Future research and public health strategies may benefit from this refined categorization.
Objectives:
In most recent studies, authors combine all cases of sudden infant death syndrome, other deaths from ill-defined or unknown causes, and accidental suffocation and strangulation in bed as a single population to analyze sudden unexpected infant death (SUID). Our aim with this study is to determine if there are statistically different subcategories of SUID that are based on the age of death of an infant.
Methods:
In this retrospective, cross-sectional analysis, we analyzed the Centers for Disease Control and Prevention Birth Cohort Linked Birth/Infant Death Data Set (2003-2013: 41 125 233 births and 37 624 SUIDs). Logistic regression models were developed to identify subpopulations of SUID cases by age of death, and we subsequently analyzed the effects of a set of covariates on each group.
Results:
Two groups were identified: sudden unexpected early neonatal deaths (SUENDs; days 0-6) and postperinatal SUIDs (days 7-364). These groups significantly differed in the distributions of assigned International Classification of Diseases, 10th Revision code, live birth order, marital status, age of mother, birth weight, and gestational length compared to postperinatal SUIDs (days 7-364). Maternal smoking during pregnancy was not a significant risk factor for deaths that occurred in the first 48 hours.
Conclusions:
SUEND should be considered as a discrete entity from postperinatal SUID in future studies. These data could help improve the epidemiological understanding of SUEND and SUID and provide clues to a mechanistic understanding underlying the causes of death.
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