An integrated clinico-metabolomic model improves prediction of death in sepsis.

@article{Langley2013AnIC,
  title={An integrated clinico-metabolomic model improves prediction of death in sepsis.},
  author={Raymond J Langley and Ephraim L. Tsalik and Jennifer C. van Velkinburgh and Seth W. Glickman and Brandon J. Rice and Chunping Wang and Bo Chen and Lawrence Carin and Arturo D{\'i}az Su{\'a}rez and Robert P. Mohney and Debra H. Freeman and Mu Zhong Wang and Jinsam You and Jacob Wulff and J. Will Thompson and M. Arthur Moseley and Stephanie J. Reisinger and Brian T. Edmonds and Brian William Grinnell and David R. Nelson and Darrell Lee Dinwiddie and Neil A Miller and Carol Jean Saunders and Sarah S Soden and Angela J. Rogers and Lee Gazourian and Laura E Fredenburgh and Anthony F. Massaro and Rebecca Baron and Augustine M. K. Choi and G. Ralph Corey and Geoffrey S. Ginsburg and Charles B. Cairns and Ronny M. Otero and Vance G. Fowler and Emanuel Phillip Rivers and Christopher W. Woods and Stephen F Kingsmore},
  journal={Science translational medicine},
  year={2013},
  volume={5 195},
  pages={195ra95}
}
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… CONTINUE READING
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