Prediction of normal values for central apnea-hypopnea index at different ages and altitudes above sea level in healthy children
Background: There is a critical need for studies aimed to help clinicians to establish the normal/expected central apnea-hypopnea index (CAHI) at altitudes above sea level and ages other than those reported in the current available studies. The aim of the present study was to develop predictive mode...
- Autores:
-
Restrepo-Gualteros, Sonia Maria
Restrepo-Gualteros, Sonia Maria
Rodríguez-Martínez, Carlos E.
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2021
- Institución:
- Universidad El Bosque
- Repositorio:
- Repositorio U. El Bosque
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unbosque.edu.co:20.500.12495/5578
- Acceso en línea:
- http://hdl.handle.net/20.500.12495/5578
https://doi.org/10.1016/j.sleep.2020.12.033
- Palabra clave:
- Altitude
Child
Sleep apnea
Central
Polysomnography
- Rights
- openAccess
- License
- Acceso abierto
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Repositorio U. El Bosque |
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|
dc.title.spa.fl_str_mv |
Prediction of normal values for central apnea-hypopnea index at different ages and altitudes above sea level in healthy children |
dc.title.translated.spa.fl_str_mv |
Prediction of normal values for central apnea-hypopnea index at different ages and altitudes above sea level in healthy children |
title |
Prediction of normal values for central apnea-hypopnea index at different ages and altitudes above sea level in healthy children |
spellingShingle |
Prediction of normal values for central apnea-hypopnea index at different ages and altitudes above sea level in healthy children Altitude Child Sleep apnea Central Polysomnography |
title_short |
Prediction of normal values for central apnea-hypopnea index at different ages and altitudes above sea level in healthy children |
title_full |
Prediction of normal values for central apnea-hypopnea index at different ages and altitudes above sea level in healthy children |
title_fullStr |
Prediction of normal values for central apnea-hypopnea index at different ages and altitudes above sea level in healthy children |
title_full_unstemmed |
Prediction of normal values for central apnea-hypopnea index at different ages and altitudes above sea level in healthy children |
title_sort |
Prediction of normal values for central apnea-hypopnea index at different ages and altitudes above sea level in healthy children |
dc.creator.fl_str_mv |
Restrepo-Gualteros, Sonia Maria Restrepo-Gualteros, Sonia Maria Rodríguez-Martínez, Carlos E. |
dc.contributor.author.none.fl_str_mv |
Restrepo-Gualteros, Sonia Maria Restrepo-Gualteros, Sonia Maria Rodríguez-Martínez, Carlos E. |
dc.subject.keywords.spa.fl_str_mv |
Altitude Child Sleep apnea Central Polysomnography |
topic |
Altitude Child Sleep apnea Central Polysomnography |
description |
Background: There is a critical need for studies aimed to help clinicians to establish the normal/expected central apnea-hypopnea index (CAHI) at altitudes above sea level and ages other than those reported in the current available studies. The aim of the present study was to develop predictive models useful for determining the normal/expected CAHI in children of different ages born and living at various altitudes above sea level. Methods: A systematic review of the literature was performed in order to identify all available studies that reported on CAHI values measured in healthy children of different ages and living at various levels above sea level. In order to identify factors independently associated with CAHI values, they were fit to multiple linear and quantile regression models. Results: A total of 16 studies that reported on CAHI values measured in healthy children living at various levels above sea level were included in the analyses. Out of the 16 studies, 12 (75%) were conducted in low-altitude cities, 1 (6.2%) was conducted in a medium-altitude city, 2 (12.5%) in high-altitude cities, and 1 (6.2%) in both low- and high-altitude cities. Age and altitude above sea level are independent predictors of CAHI values in the linear regression analysis and in the quantile regression at the ninetieth percentile. Conclusions: The best-fitting prediction equations were obtained with linear regression and quantile regression at the ninetieth percentile analyses, and either of the two models could be used to predict the normal/expected CAHI values in healthy children |
publishDate |
2021 |
dc.date.accessioned.none.fl_str_mv |
2021-03-08T20:48:24Z |
dc.date.available.none.fl_str_mv |
2021-03-08T20:48:24Z |
dc.date.issued.none.fl_str_mv |
2021-02 |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.local.none.fl_str_mv |
Artículo de revista |
dc.type.coar.none.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.type.driver.none.fl_str_mv |
info:eu-repo/semantics/article |
format |
http://purl.org/coar/resource_type/c_6501 |
dc.identifier.issn.none.fl_str_mv |
1878-5506 |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/20.500.12495/5578 |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1016/j.sleep.2020.12.033 |
dc.identifier.instname.spa.fl_str_mv |
instname:Universidad El Bosque |
dc.identifier.reponame.spa.fl_str_mv |
reponame:Repositorio Institucional Universidad El Bosque |
dc.identifier.repourl.none.fl_str_mv |
repourl:https://repositorio.unbosque.edu.co |
identifier_str_mv |
1878-5506 instname:Universidad El Bosque reponame:Repositorio Institucional Universidad El Bosque repourl:https://repositorio.unbosque.edu.co |
url |
http://hdl.handle.net/20.500.12495/5578 https://doi.org/10.1016/j.sleep.2020.12.033 |
dc.language.iso.none.fl_str_mv |
spa |
language |
spa |
dc.relation.ispartofseries.spa.fl_str_mv |
Sleep medicine, 1878-5506, Vol. 78, 2021, p. 182-188 |
dc.relation.uri.none.fl_str_mv |
https://www.sciencedirect.com/science/article/pii/S1389945720305839 |
dc.rights.local.spa.fl_str_mv |
Acceso abierto |
dc.rights.accessrights.none.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 info:eu-repo/semantics/openAccess Acceso abierto |
rights_invalid_str_mv |
Acceso abierto http://purl.org/coar/access_right/c_abf2 |
eu_rights_str_mv |
openAccess |
dc.format.mimetype.none.fl_str_mv |
application/pdf |
dc.publisher.spa.fl_str_mv |
Elsevier |
dc.publisher.journal.spa.fl_str_mv |
Sleep medicine |
institution |
Universidad El Bosque |
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Restrepo-Gualteros, Sonia MariaRestrepo-Gualteros, Sonia MariaRodríguez-Martínez, Carlos E.2021-03-08T20:48:24Z2021-03-08T20:48:24Z2021-021878-5506http://hdl.handle.net/20.500.12495/5578https://doi.org/10.1016/j.sleep.2020.12.033instname:Universidad El Bosquereponame:Repositorio Institucional Universidad El Bosquerepourl:https://repositorio.unbosque.edu.coapplication/pdfspaElsevierSleep medicineSleep medicine, 1878-5506, Vol. 78, 2021, p. 182-188https://www.sciencedirect.com/science/article/pii/S1389945720305839Prediction of normal values for central apnea-hypopnea index at different ages and altitudes above sea level in healthy childrenPrediction of normal values for central apnea-hypopnea index at different ages and altitudes above sea level in healthy childrenArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/articlehttp://purl.org/coar/version/c_970fb48d4fbd8a85AltitudeChildSleep apneaCentralPolysomnographyBackground: There is a critical need for studies aimed to help clinicians to establish the normal/expected central apnea-hypopnea index (CAHI) at altitudes above sea level and ages other than those reported in the current available studies. The aim of the present study was to develop predictive models useful for determining the normal/expected CAHI in children of different ages born and living at various altitudes above sea level. Methods: A systematic review of the literature was performed in order to identify all available studies that reported on CAHI values measured in healthy children of different ages and living at various levels above sea level. In order to identify factors independently associated with CAHI values, they were fit to multiple linear and quantile regression models. Results: A total of 16 studies that reported on CAHI values measured in healthy children living at various levels above sea level were included in the analyses. Out of the 16 studies, 12 (75%) were conducted in low-altitude cities, 1 (6.2%) was conducted in a medium-altitude city, 2 (12.5%) in high-altitude cities, and 1 (6.2%) in both low- and high-altitude cities. Age and altitude above sea level are independent predictors of CAHI values in the linear regression analysis and in the quantile regression at the ninetieth percentile. Conclusions: The best-fitting prediction equations were obtained with linear regression and quantile regression at the ninetieth percentile analyses, and either of the two models could be used to predict the normal/expected CAHI values in healthy childrenAcceso abiertohttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessAcceso abiertoORIGINALSonia M. Restrepo-Gualterosa,Milena Villamil-Osorio_2021.pdfSonia M. Restrepo-Gualterosa,Milena Villamil-Osorio_2021.pdfapplication/pdf473118https://repositorio.unbosque.edu.co/bitstreams/37ce530f-c2eb-405e-b94e-35f7d0534670/downloadd56720249f08b0a59c6de94d77106158MD51THUMBNAILSonia M. Restrepo-Gualterosa,Milena Villamil-Osorio_2021.pdf.jpgSonia M. 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