A community approach to mortality prediction in sepsis via gene expression analysis

Sepsis is characterized by deregulated host response to infection. Efficient therapies are still needed but a limitation for sepsis treatment is the heterogeneity in patients. Here Sweeney et al. generate prognostic models based on gene expression to improve risk stratification classification and pr...

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Autores principales:	Timothy E. Sweeney, Thanneer M. Perumal, Ricardo Henao, Marshall Nichols, Judith A. Howrylak, Augustine M. Choi, Jesús F. Bermejo-Martin, Raquel Almansa, Eduardo Tamayo, Emma E. Davenport, Katie L. Burnham, Charles J. Hinds, Julian C. Knight, Christopher W. Woods, Stephen F. Kingsmore, Geoffrey S. Ginsburg, Hector R. Wong, Grant P. Parnell, Benjamin Tang, Lyle L. Moldawer, Frederick E. Moore, Larsson Omberg, Purvesh Khatri, Ephraim L. Tsalik, Lara M. Mangravite, Raymond J. Langley
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/87658db7864648bb930cc04d02ab688a
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spelling	oai:doaj.org-article:87658db7864648bb930cc04d02ab688a2021-12-02T14:38:50ZA community approach to mortality prediction in sepsis via gene expression analysis10.1038/s41467-018-03078-22041-1723https://doaj.org/article/87658db7864648bb930cc04d02ab688a2018-02-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-03078-2https://doaj.org/toc/2041-1723Sepsis is characterized by deregulated host response to infection. Efficient therapies are still needed but a limitation for sepsis treatment is the heterogeneity in patients. Here Sweeney et al. generate prognostic models based on gene expression to improve risk stratification classification and prediction for 30-day mortality of patients.Timothy E. SweeneyThanneer M. PerumalRicardo HenaoMarshall NicholsJudith A. HowrylakAugustine M. ChoiJesús F. Bermejo-MartinRaquel AlmansaEduardo TamayoEmma E. DavenportKatie L. BurnhamCharles J. HindsJulian C. KnightChristopher W. WoodsStephen F. KingsmoreGeoffrey S. GinsburgHector R. WongGrant P. ParnellBenjamin TangLyle L. MoldawerFrederick E. MooreLarsson OmbergPurvesh KhatriEphraim L. TsalikLara M. MangraviteRaymond J. LangleyNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-10 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Timothy E. Sweeney Thanneer M. Perumal Ricardo Henao Marshall Nichols Judith A. Howrylak Augustine M. Choi Jesús F. Bermejo-Martin Raquel Almansa Eduardo Tamayo Emma E. Davenport Katie L. Burnham Charles J. Hinds Julian C. Knight Christopher W. Woods Stephen F. Kingsmore Geoffrey S. Ginsburg Hector R. Wong Grant P. Parnell Benjamin Tang Lyle L. Moldawer Frederick E. Moore Larsson Omberg Purvesh Khatri Ephraim L. Tsalik Lara M. Mangravite Raymond J. Langley A community approach to mortality prediction in sepsis via gene expression analysis
description	Sepsis is characterized by deregulated host response to infection. Efficient therapies are still needed but a limitation for sepsis treatment is the heterogeneity in patients. Here Sweeney et al. generate prognostic models based on gene expression to improve risk stratification classification and prediction for 30-day mortality of patients.
format	article
author	Timothy E. Sweeney Thanneer M. Perumal Ricardo Henao Marshall Nichols Judith A. Howrylak Augustine M. Choi Jesús F. Bermejo-Martin Raquel Almansa Eduardo Tamayo Emma E. Davenport Katie L. Burnham Charles J. Hinds Julian C. Knight Christopher W. Woods Stephen F. Kingsmore Geoffrey S. Ginsburg Hector R. Wong Grant P. Parnell Benjamin Tang Lyle L. Moldawer Frederick E. Moore Larsson Omberg Purvesh Khatri Ephraim L. Tsalik Lara M. Mangravite Raymond J. Langley
author_facet	Timothy E. Sweeney Thanneer M. Perumal Ricardo Henao Marshall Nichols Judith A. Howrylak Augustine M. Choi Jesús F. Bermejo-Martin Raquel Almansa Eduardo Tamayo Emma E. Davenport Katie L. Burnham Charles J. Hinds Julian C. Knight Christopher W. Woods Stephen F. Kingsmore Geoffrey S. Ginsburg Hector R. Wong Grant P. Parnell Benjamin Tang Lyle L. Moldawer Frederick E. Moore Larsson Omberg Purvesh Khatri Ephraim L. Tsalik Lara M. Mangravite Raymond J. Langley
author_sort	Timothy E. Sweeney
title	A community approach to mortality prediction in sepsis via gene expression analysis
title_short	A community approach to mortality prediction in sepsis via gene expression analysis
title_full	A community approach to mortality prediction in sepsis via gene expression analysis
title_fullStr	A community approach to mortality prediction in sepsis via gene expression analysis
title_full_unstemmed	A community approach to mortality prediction in sepsis via gene expression analysis
title_sort	community approach to mortality prediction in sepsis via gene expression analysis
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/87658db7864648bb930cc04d02ab688a
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A community approach to mortality prediction in sepsis via gene expression analysis

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