Gene signature for the prediction of the trajectories of sepsis-induced acute kidney injury

HIGHLIGHTS

  • who: Zhongheng Zhang from the Department of Emergency Medicine, Key Laboratory of Precision Medicine Hospital, Zhejiang University School of Medicine, Hangzhou, People`s Republic of China have published the research work: Gene signature for the prediction of the trajectories of sepsis-induced acute kidney injury, in the Journal: (JOURNAL)
  • what: The authors first classified trajectories of sepsis-induced AKI by the renal component of the SOFA score, and then, transcriptional profiles between different renal function trajectories were characterized. The worsening subtype of AKI described in the study has not yet been formally defined in the . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?