Cite

Introduction: The Sudden Infant Death Syndrome (SIDS) is not likely to be explained by a currently measureable presence in all cases and absence in controls, as otherwise it would have been solved already. Indeed, any proposed physiological model for SIDS causation must explain the constant mathematical and statistical properties of SIDS age and gender. We have shown previously that SIDS are characterized by a common 4-parameter lognormal age distribution sparing neonatal infants, by a nominal 50% male excess, and by a higher rate in winter than summer. We test now whether SIDS is closely related to a fulminating prodromal Acute Respiratory Infection (ARI) by a common increasing rate with the infants increasing Live Birth Order (LBO), all remaining the same, independent of the change in preferred sleeping positions of the infants, prone or supine.

Methods: We use U.S. published infant mortality data from wonder.cdc.gov and other countries (Colombia, U.K., Europe, Australasia) to make comparisons between the two causes of death (ARI and SIDS) to evaluate how closely ARI resembles the characteristics of SIDS.

Results: Gender: SIDS male excess 50%, ARI male excess 50%; Ages: SIDS 90% post-neonatal, ARI 96% post-neonatal; Seasonality: SIDS and ARI are higher in winter than summer; Live birth order: SIDS and ARI rates increase with increasing LBO with similar mathematical relationship.

Conclusion: Our results show that all SIDS are very likely relatable to a single cause tied to a fulminating prodromal ARI in a physiologically anemic infant who is genetically (X-link recessive) susceptible to cerebral anoxia. An alternative cause of all SIDS death by a collection of subsets of different causes, such as brainstem-related respiratory abnormalities and cardiac QT abnormalities, is not supported because they cannot all have the same age-gender-seasonal-familial-distributions of SIDS, required by Cramér’s Theorem.

eISSN:
2353-0707
Language:
English
Publication timeframe:
2 times per year
Journal Subjects:
Medicine, Clinical Medicine, other