Literature DB >> 32654334

Classification of sleep-related sudden unexpected death in infancy: A national survey.

Joanna Garstang1, Marta Cohen2, Edwin A Mitchell3, Peter Sidebotham4.   

Abstract

AIM: To identify how British Child Death Overview Panels (CDOPs) and paediatric pathologists classify cause of death for sleep-related Sudden Unexpected Death in Infancy (SUDI). To determine compliance with national requirements for SUDI investigation.
METHODS: Electronic survey of CDOPs and pathologists using three vignettes of SUDI cases illustrating: accidental asphyxia, typical Sudden Infant Death Syndrome (SIDS) and SIDS with co-sleeping.
RESULTS: Thirty-eight (41%) of 92 CDOPs returned questionnaires, and 32 were complete. Thirteen (14%) of 90 pathologists returned complete questionnaires. Thirty-one (97%) CDOPs and 7 (53%) pathologists agreed with the cause of death in the accidental asphyxia case; 24 (75%) CDOPs and 9 (69%) pathologists in the typical SIDS case; and 11 (34%) CDOPs and 1 (8%) pathologist in the co-sleeping SIDS case. Pathologists used the terms SUDI or unascertained as the cause of death for the accidental asphyxia case (46%) and the co-sleeping SIDS case (77%). These terms were used by CDOPs for the typical SIDS case (25%) and the co-sleeping SIDS case (41%). Seventeen (46%) CDOPs reported compliance with guidelines for investigation in more than 75% of cases.
CONCLUSION: There is wide variation in classification of deaths, with only limited agreement between CDOPs and pathologists. The terms SIDS and accidental asphyxia are underused, even in typical cases.
© 2020 Foundation Acta Paediatrica. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  accidental asphyxia; cause of death; child death review; sudden infant death syndrome; sudden unexpected death in infancy

Mesh:

Year:  2020        PMID: 32654334     DOI: 10.1111/apa.15472

Source DB:  PubMed          Journal:  Acta Paediatr        ISSN: 0803-5253            Impact factor:   2.299


  1 in total

1.  A proof-of-concept study to construct Bayesian network decision models for supporting the categorization of sudden unexpected infant death.

Authors:  Hideki Hamayasu; Masashi Miyao; Chihiro Kawai; Toshio Osamura; Akira Yamamoto; Hirozo Minami; Hitoshi Abiru; Keiji Tamaki; Hirokazu Kotani
Journal:  Sci Rep       Date:  2022-06-13       Impact factor: 4.996

  1 in total

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