The optimal timing of continuous renal replacement therapy for patients with sepsis-induced acute kidney injury

Int Urol Nephrol. 2014 Oct;46(10):2009-14. doi: 10.1007/s11255-014-0747-5. Epub 2014 Jun 10.

Abstract

Purpose: High mortality in the intensive care unit (ICU) is probably associated with sepsis-induced acute kidney injury (AKI). The aim of this study is to explore which stage of AKI may be the optimal timing for continuous renal replacement therapy (CRRT).

Methods: A retrospective analysis of 160 critically ill patients with septic AKI, treated with or without CRRT was performed in Binzhou medical college affiliated hospital ICU. The parameters including 28-days mortality rate, renal recovery, ventilation time and ICU stay between CRRT group and control group were assessed.

Results: Renal recovery, defined as independence from dialysis at discharge, was documented for 64/76 (84.2 %) of the surviving patients (48.1 % of total subjects included in the study). The mortality rate increased proportionally with acute kidney injury Network stages in CRRT subgroups (P = 0.001) and control groups (P = 0.029). CRRT initiation at stage 2 of AKI significantly reduced the 28-day mortality (P = 0.048) and increased the 28-day survival rate (P = 0.036) compared with those in control group. In addition, the ICU stay and ventilation time were shorter in CRRT group than that of control group in stage 2 of AKI.

Conclusion: The stage 2 AKI might be the optimal timing for performing CRRT.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • APACHE
  • Acute Kidney Injury / etiology*
  • Acute Kidney Injury / mortality
  • Acute Kidney Injury / therapy*
  • Biomarkers / analysis
  • Case-Control Studies
  • China / epidemiology
  • Critical Illness
  • Female
  • Humans
  • Intensive Care Units
  • Kidney Function Tests
  • Length of Stay / statistics & numerical data
  • Male
  • Middle Aged
  • Renal Replacement Therapy*
  • Retrospective Studies
  • Sepsis / complications*
  • Sepsis / mortality
  • Time Factors

Substances

  • Biomarkers