Revisiting the neuropathology of sudden infant death syndrome (SIDS)

Autores
Blackburn, Jessica; Chapur, Valeria Fernanda; Stephens, Julie A.; Zhao, Jing; Shepler, Anne; Pierson, Christopher R.; Otero, José Javier
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Background: Sudden infant death syndrome (SIDS) is one of the leading causes of infant mortality in the United States (US). The extent to which SIDS manifests with an underlying neuropathological mechanism is highly controversial. SIDS correlates with markers of poor prenatal and postnatal care, generally rooted in the lack of access and quality of healthcare endemic to select racial and ethnic groups, and thus can be viewed in the context of health disparities. However, some evidence suggests that at least a subset of SIDS cases may result from a neuropathological mechanism. To explain these issues, a triple-risk hypothesis has been proposed, whereby an underlying biological abnormality in an infant facing an extrinsic risk during a critical developmental period SIDS is hypothesized to occur. Each SIDS decedent is thus thought to have a unique combination of these risk factors leading to their death. This article reviews the neuropathological literature of SIDS and uses machine learning tools to identify distinct subtypes of SIDS decedents based on epidemiological data. Methods: We analyzed US Period Linked Birth/Infant Mortality Files from 1990 to 2017 (excluding 1992–1994). Using t-SNE, an unsupervised machine learning dimensionality reduction algorithm, we identified clusters of SIDS decedents. Following identification of these groups, we identified changes in the rates of SIDS at the state level and across three countries. Results: Through t-SNE and distance based statistical analysis, we identified three groups of SIDS decedents, each with a unique peak age of death. Within the US, SIDS is geographically heterogeneous. Following this, we found low birth weight and normal birth weight SIDS rates have not been equally impacted by implementation of clinical guidelines. We show that across countries with different levels of cultural heterogeneity, reduction in SIDS rates has also been distinct between decedents with low vs. normal birth weight. Conclusions: Different epidemiological and extrinsic risk factors exist based on the three unique SIDS groups we identified with t-SNE and distance based statistical measurements. Clinical guidelines have not equally impacted the groups, and normal birth weight infants comprise more of the cases of SIDS even though low birth weight infants have a higher SIDS rate.
Fil: Blackburn, Jessica. The Ohio State University College Of Medicine; Estados Unidos
Fil: Chapur, Valeria Fernanda. Universidad Nacional de Jujuy. Instituto de Ecorregiones Andinas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Ecorregiones Andinas; Argentina. Universidad Nacional de Jujuy. Instituto de Biología de la Altura; Argentina
Fil: Stephens, Julie A.. The Ohio State University College Of Medicine; Estados Unidos
Fil: Zhao, Jing. The Ohio State University College Of Medicine; Estados Unidos
Fil: Shepler, Anne. The Ohio State University College Of Medicine; Estados Unidos
Fil: Pierson, Christopher R.. The Ohio State University College Of Medicine; Estados Unidos
Fil: Otero, José Javier. The Ohio State University College Of Medicine; Estados Unidos
Materia
SUDDEN INFANT DEATH SYNDROME (SIDS)
NEUROPATHOLOGY
CLUSTER ANALYSIS
INFANT MORTALITY RATE
INFANT DEATH
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/142769

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network_name_str CONICET Digital (CONICET)
spelling Revisiting the neuropathology of sudden infant death syndrome (SIDS)Blackburn, JessicaChapur, Valeria FernandaStephens, Julie A.Zhao, JingShepler, AnnePierson, Christopher R.Otero, José JavierSUDDEN INFANT DEATH SYNDROME (SIDS)NEUROPATHOLOGYCLUSTER ANALYSISINFANT MORTALITY RATEINFANT DEATHhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Background: Sudden infant death syndrome (SIDS) is one of the leading causes of infant mortality in the United States (US). The extent to which SIDS manifests with an underlying neuropathological mechanism is highly controversial. SIDS correlates with markers of poor prenatal and postnatal care, generally rooted in the lack of access and quality of healthcare endemic to select racial and ethnic groups, and thus can be viewed in the context of health disparities. However, some evidence suggests that at least a subset of SIDS cases may result from a neuropathological mechanism. To explain these issues, a triple-risk hypothesis has been proposed, whereby an underlying biological abnormality in an infant facing an extrinsic risk during a critical developmental period SIDS is hypothesized to occur. Each SIDS decedent is thus thought to have a unique combination of these risk factors leading to their death. This article reviews the neuropathological literature of SIDS and uses machine learning tools to identify distinct subtypes of SIDS decedents based on epidemiological data. Methods: We analyzed US Period Linked Birth/Infant Mortality Files from 1990 to 2017 (excluding 1992–1994). Using t-SNE, an unsupervised machine learning dimensionality reduction algorithm, we identified clusters of SIDS decedents. Following identification of these groups, we identified changes in the rates of SIDS at the state level and across three countries. Results: Through t-SNE and distance based statistical analysis, we identified three groups of SIDS decedents, each with a unique peak age of death. Within the US, SIDS is geographically heterogeneous. Following this, we found low birth weight and normal birth weight SIDS rates have not been equally impacted by implementation of clinical guidelines. We show that across countries with different levels of cultural heterogeneity, reduction in SIDS rates has also been distinct between decedents with low vs. normal birth weight. Conclusions: Different epidemiological and extrinsic risk factors exist based on the three unique SIDS groups we identified with t-SNE and distance based statistical measurements. Clinical guidelines have not equally impacted the groups, and normal birth weight infants comprise more of the cases of SIDS even though low birth weight infants have a higher SIDS rate.Fil: Blackburn, Jessica. The Ohio State University College Of Medicine; Estados UnidosFil: Chapur, Valeria Fernanda. Universidad Nacional de Jujuy. Instituto de Ecorregiones Andinas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Ecorregiones Andinas; Argentina. Universidad Nacional de Jujuy. Instituto de Biología de la Altura; ArgentinaFil: Stephens, Julie A.. The Ohio State University College Of Medicine; Estados UnidosFil: Zhao, Jing. The Ohio State University College Of Medicine; Estados UnidosFil: Shepler, Anne. The Ohio State University College Of Medicine; Estados UnidosFil: Pierson, Christopher R.. The Ohio State University College Of Medicine; Estados UnidosFil: Otero, José Javier. The Ohio State University College Of Medicine; Estados UnidosFrontiers Media2020-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/142769Blackburn, Jessica; Chapur, Valeria Fernanda; Stephens, Julie A.; Zhao, Jing; Shepler, Anne; et al.; Revisiting the neuropathology of sudden infant death syndrome (SIDS); Frontiers Media; Frontiers in Neurology; 11; 594550; 12-2020; 1-121664-2295CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.3389/fneur.2020.594550info:eu-repo/semantics/altIdentifier/url/https://www.frontiersin.org/articles/10.3389/fneur.2020.594550/abstractinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:37:44Zoai:ri.conicet.gov.ar:11336/142769instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:37:44.573CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Revisiting the neuropathology of sudden infant death syndrome (SIDS)
title Revisiting the neuropathology of sudden infant death syndrome (SIDS)
spellingShingle Revisiting the neuropathology of sudden infant death syndrome (SIDS)
Blackburn, Jessica
SUDDEN INFANT DEATH SYNDROME (SIDS)
NEUROPATHOLOGY
CLUSTER ANALYSIS
INFANT MORTALITY RATE
INFANT DEATH
title_short Revisiting the neuropathology of sudden infant death syndrome (SIDS)
title_full Revisiting the neuropathology of sudden infant death syndrome (SIDS)
title_fullStr Revisiting the neuropathology of sudden infant death syndrome (SIDS)
title_full_unstemmed Revisiting the neuropathology of sudden infant death syndrome (SIDS)
title_sort Revisiting the neuropathology of sudden infant death syndrome (SIDS)
dc.creator.none.fl_str_mv Blackburn, Jessica
Chapur, Valeria Fernanda
Stephens, Julie A.
Zhao, Jing
Shepler, Anne
Pierson, Christopher R.
Otero, José Javier
author Blackburn, Jessica
author_facet Blackburn, Jessica
Chapur, Valeria Fernanda
Stephens, Julie A.
Zhao, Jing
Shepler, Anne
Pierson, Christopher R.
Otero, José Javier
author_role author
author2 Chapur, Valeria Fernanda
Stephens, Julie A.
Zhao, Jing
Shepler, Anne
Pierson, Christopher R.
Otero, José Javier
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv SUDDEN INFANT DEATH SYNDROME (SIDS)
NEUROPATHOLOGY
CLUSTER ANALYSIS
INFANT MORTALITY RATE
INFANT DEATH
topic SUDDEN INFANT DEATH SYNDROME (SIDS)
NEUROPATHOLOGY
CLUSTER ANALYSIS
INFANT MORTALITY RATE
INFANT DEATH
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Background: Sudden infant death syndrome (SIDS) is one of the leading causes of infant mortality in the United States (US). The extent to which SIDS manifests with an underlying neuropathological mechanism is highly controversial. SIDS correlates with markers of poor prenatal and postnatal care, generally rooted in the lack of access and quality of healthcare endemic to select racial and ethnic groups, and thus can be viewed in the context of health disparities. However, some evidence suggests that at least a subset of SIDS cases may result from a neuropathological mechanism. To explain these issues, a triple-risk hypothesis has been proposed, whereby an underlying biological abnormality in an infant facing an extrinsic risk during a critical developmental period SIDS is hypothesized to occur. Each SIDS decedent is thus thought to have a unique combination of these risk factors leading to their death. This article reviews the neuropathological literature of SIDS and uses machine learning tools to identify distinct subtypes of SIDS decedents based on epidemiological data. Methods: We analyzed US Period Linked Birth/Infant Mortality Files from 1990 to 2017 (excluding 1992–1994). Using t-SNE, an unsupervised machine learning dimensionality reduction algorithm, we identified clusters of SIDS decedents. Following identification of these groups, we identified changes in the rates of SIDS at the state level and across three countries. Results: Through t-SNE and distance based statistical analysis, we identified three groups of SIDS decedents, each with a unique peak age of death. Within the US, SIDS is geographically heterogeneous. Following this, we found low birth weight and normal birth weight SIDS rates have not been equally impacted by implementation of clinical guidelines. We show that across countries with different levels of cultural heterogeneity, reduction in SIDS rates has also been distinct between decedents with low vs. normal birth weight. Conclusions: Different epidemiological and extrinsic risk factors exist based on the three unique SIDS groups we identified with t-SNE and distance based statistical measurements. Clinical guidelines have not equally impacted the groups, and normal birth weight infants comprise more of the cases of SIDS even though low birth weight infants have a higher SIDS rate.
Fil: Blackburn, Jessica. The Ohio State University College Of Medicine; Estados Unidos
Fil: Chapur, Valeria Fernanda. Universidad Nacional de Jujuy. Instituto de Ecorregiones Andinas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Ecorregiones Andinas; Argentina. Universidad Nacional de Jujuy. Instituto de Biología de la Altura; Argentina
Fil: Stephens, Julie A.. The Ohio State University College Of Medicine; Estados Unidos
Fil: Zhao, Jing. The Ohio State University College Of Medicine; Estados Unidos
Fil: Shepler, Anne. The Ohio State University College Of Medicine; Estados Unidos
Fil: Pierson, Christopher R.. The Ohio State University College Of Medicine; Estados Unidos
Fil: Otero, José Javier. The Ohio State University College Of Medicine; Estados Unidos
description Background: Sudden infant death syndrome (SIDS) is one of the leading causes of infant mortality in the United States (US). The extent to which SIDS manifests with an underlying neuropathological mechanism is highly controversial. SIDS correlates with markers of poor prenatal and postnatal care, generally rooted in the lack of access and quality of healthcare endemic to select racial and ethnic groups, and thus can be viewed in the context of health disparities. However, some evidence suggests that at least a subset of SIDS cases may result from a neuropathological mechanism. To explain these issues, a triple-risk hypothesis has been proposed, whereby an underlying biological abnormality in an infant facing an extrinsic risk during a critical developmental period SIDS is hypothesized to occur. Each SIDS decedent is thus thought to have a unique combination of these risk factors leading to their death. This article reviews the neuropathological literature of SIDS and uses machine learning tools to identify distinct subtypes of SIDS decedents based on epidemiological data. Methods: We analyzed US Period Linked Birth/Infant Mortality Files from 1990 to 2017 (excluding 1992–1994). Using t-SNE, an unsupervised machine learning dimensionality reduction algorithm, we identified clusters of SIDS decedents. Following identification of these groups, we identified changes in the rates of SIDS at the state level and across three countries. Results: Through t-SNE and distance based statistical analysis, we identified three groups of SIDS decedents, each with a unique peak age of death. Within the US, SIDS is geographically heterogeneous. Following this, we found low birth weight and normal birth weight SIDS rates have not been equally impacted by implementation of clinical guidelines. We show that across countries with different levels of cultural heterogeneity, reduction in SIDS rates has also been distinct between decedents with low vs. normal birth weight. Conclusions: Different epidemiological and extrinsic risk factors exist based on the three unique SIDS groups we identified with t-SNE and distance based statistical measurements. Clinical guidelines have not equally impacted the groups, and normal birth weight infants comprise more of the cases of SIDS even though low birth weight infants have a higher SIDS rate.
publishDate 2020
dc.date.none.fl_str_mv 2020-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/142769
Blackburn, Jessica; Chapur, Valeria Fernanda; Stephens, Julie A.; Zhao, Jing; Shepler, Anne; et al.; Revisiting the neuropathology of sudden infant death syndrome (SIDS); Frontiers Media; Frontiers in Neurology; 11; 594550; 12-2020; 1-12
1664-2295
CONICET Digital
CONICET
url http://hdl.handle.net/11336/142769
identifier_str_mv Blackburn, Jessica; Chapur, Valeria Fernanda; Stephens, Julie A.; Zhao, Jing; Shepler, Anne; et al.; Revisiting the neuropathology of sudden infant death syndrome (SIDS); Frontiers Media; Frontiers in Neurology; 11; 594550; 12-2020; 1-12
1664-2295
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
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info:eu-repo/semantics/altIdentifier/url/https://www.frontiersin.org/articles/10.3389/fneur.2020.594550/abstract
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
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application/pdf
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dc.publisher.none.fl_str_mv Frontiers Media
publisher.none.fl_str_mv Frontiers Media
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