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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/142769
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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 |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.3389/fneur.2020.594550 info:eu-repo/semantics/altIdentifier/url/https://www.frontiersin.org/articles/10.3389/fneur.2020.594550/abstract |
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info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
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application/pdf application/pdf application/pdf |
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Frontiers Media |
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Frontiers Media |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
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dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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