An integrated clinico-metabolomic model improves prediction of death in sepsis.
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ABSTRACT:
SUBMITTER: Langley RJ
PROVIDER: S-EPMC3924586 | biostudies-literature | 2013 Jul
REPOSITORIES: biostudies-literature
Publications
An integrated clinico-metabolomic model improves prediction of death in sepsis.
Langley Raymond J RJ Tsalik Ephraim L EL van Velkinburgh Jennifer C JC Glickman Seth W SW Rice Brandon J BJ Wang Chunping C Chen Bo B Carin Lawrence L Suarez Arturo A Mohney Robert P RP Freeman Debra H DH Wang Mu M You Jinsam J Wulff Jacob J Thompson J Will JW Moseley M Arthur MA Reisinger Stephanie S Edmonds Brian T BT Grinnell Brian B Nelson David R DR Dinwiddie Darrell L DL Miller Neil A NA Saunders Carol J CJ Soden Sarah S SS Rogers Angela J AJ Gazourian Lee L Fredenburgh Laura E LE Massaro Anthony F AF Baron Rebecca M RM Choi Augustine M K AM Corey G Ralph GR Ginsburg Geoffrey S GS Cairns Charles B CB Otero Ronny M RM Fowler Vance G VG Rivers Emanuel P EP Woods Christopher W CW Kingsmore Stephen F SF Kingsmore Stephen F SF
Science translational medicine 20130701 195
Sepsis is a common cause of death, but outcomes in individual patients are difficult to predict. Elucidating the molecular processes that differ between sepsis patients who survive and those who die may permit more appropriate treatments to be deployed. We examined the clinical features and the plasma metabolome and proteome of patients with and without community-acquired sepsis, upon their arrival at hospital emergency departments and 24 hours later. The metabolomes and proteomes of patients at ...[more]
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