Key result
SUPC, SUID, and SUDC represent distinct clinical entities requiring separate classification and prevention strategies.
Why the study?
Sudden unexpected deaths in early life have historically been grouped under broad, inconsistent terminology, limiting epidemiologic precision and mechanistic understanding.
Standardized classification of sudden unexpected deaths in early life into SUPC, SUID, and SUDC is necessary for accurate surveillance and targeted prevention, while emerging molecular evidence points to shared intrinsic vulnerabilities.
Supports distinct classification of SUPC, SUID, and related deaths; leaves open prospective validation for improved surveillance and prevention.
Sudden unexpected deaths in early life have historically been grouped under broad, inconsistent terminology, limiting epidemiologic precision and mechanistic understanding. Standardized investigation and surveillance now permit clearer differentiation among distinct entities. The goal of this project is to synthesize epidemiologic, forensic, and molecular evidence supporting classification of sudden unexpected postnatal collapse (SUPC), sudden unexpected infant death (SUID), and sudden unexpected death in childhood (SUDC) as distinct entities, and to examine whether shared biologic vulnerability underlies cases across age groups. A narrative review used population-based epidemiologic studies, national and international surveillance data, forensic pathology reports, and molecular autopsy investigations, emphasizing standardized definitions, age-stratified analyses, and comprehensive death-scene investigation. SUPC is rare, occurs almost exclusively within the first postnatal week, and is linked to early caregiving context during physiologic transition. SUID is more common (approximately 101 per 100,000 US live births in 2022), peaks at 1 to 4 months, and shows robust associations with modifiable sleep-environment factors. SUDC is rare, occurs predominantly after age 1, and lacks consistent environmental risk factors; data suggest contributions from autonomic instability or seizure susceptibility. Molecular autopsy studies in SUID and SUDC have identified variants in genes governing cardiac conduction, autonomic regulation, and neuronal excitability, suggesting shared intrinsic vulnerability in a subset, though cohorts remain small. Conclusions : SUPC, SUID, and SUDC are distinct entities warranting separate classification and prevention strategies. Emerging but limited molecular data support further investigation of cross-age biologic vulnerability. Accurate classification, standardized investigation, and molecular integration are needed to advance the field. What is Known: • Sudden unexpected deaths in infancy and early childhood (SUPC, SUID, SUDC) have traditionally been groupedunder broad, inconsistently applied terminology, which has limited epidemiologic precision and mechanisticunderstanding of these events .• Each entity shows a distinct age distribution and risk profi le: SUPC occurs almost exclusively in the fi rst postnatalweek and relates to early caregiving context, SUID peaks at 1–4 months and is strongly tied to modifi able sleep-environment factors, and SUDC occurs predominantly after age 1 without a consistent environmental risk pattern . What is New: • This review synthesizes standardized, age-stratifi ed epidemiologic and forensic data to support classifying SUPC,SUID, and SUDC as distinct entities requiring separate prevention strategies, rather than treating them as a singlecontinuum .• Molecular autopsy fi ndings across SUID and SUDC have identifi ed variants in genes governing cardiac conduction,autonomic regulation, and neuronal excitability, raising the novel possibility of a shared intrinsic biologicvulnerability that cuts across age groups despite their distinct epidemiologic profi les .
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Hegyi et al. (2026) conducted a review in Sudden unexpected deaths in early life (SUPC, SUID, SUDC). Classification of sudden unexpected deaths was evaluated. SUPC, SUID, and SUDC are distinct clinical entities with unique age distributions, environmental contexts, and risk factors, warranting separate classification and prevention strategies.
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