Prognostic impact of acute kidney injury in patients with acute decompensated heart failure

Circ J. 2013;77(3):687-96. doi: 10.1253/circj.cj-12-0994. Epub 2012 Dec 1.

Abstract

Background: The relationship between acute kidney injury (AKI) in the acute phase of acute decompensated heart failure (ADHF) and patient outcome has not yet been reported.

Methods and results: Data for 625 patients with ADHF admitted to the intensive care unit were analyzed. No AKI occurred in 281 patients (no AKI) during the first 5 days. The AKI patients were assigned to 3 groups based on the timing: AKI present on admission and stable risk, injury, failure, loss, and endstage (RIFLE) class (stable early AKI; n=125), stepped-up RIFLE class (worsening early AKI; n=49), or AKI that occurred after admission (late AKI; n=170). The AKI patients were grouped into another 3 groups based on severity: class R (risk; n=214), class I (injury; n=73), or class F (failure; n=57). A multivariate logistic regression model found class I, class F, late AKI and worsening early AKI to be independently associated with in-hospital mortality. Kaplan-Meier survival curves showed that the survival rate in any-cause death during 2 years was significantly lower in class I, class F and the worsening early-AKI group, and there were significantly more HF events in class F and the worsening early-AKI group. There were significantly more class I and class F patients in the worsening early-AKI group.

Conclusions: The presence of AKI on admission, worsening of AKI, and severe AKI (class I or class F) are associated with a poorer prognosis for ADHF patients.

Publication types

  • Comparative Study

MeSH terms

  • Acute Disease
  • Acute Kidney Injury / classification*
  • Acute Kidney Injury / complications*
  • Aged
  • Aged, 80 and over
  • Disease Progression*
  • Female
  • Heart Failure / diagnosis*
  • Heart Failure / mortality*
  • Hospitalization
  • Humans
  • Kaplan-Meier Estimate
  • Logistic Models
  • Male
  • Middle Aged
  • Prognosis
  • Severity of Illness Index*
  • Time Factors