Cystatin C-based CKD-EPI equations and N-terminal pro-B-type natriuretic peptide for predicting outcomes in acutely decompensated heart failure

Clin Cardiol. 2015 Feb;38(2):106-13. doi: 10.1002/clc.22362. Epub 2015 Feb 6.

Abstract

Background: In patients with acute decompensated heart failure (ADHF), both natriuretic peptides and renal impairment predict adverse outcomes. Our aim was to evaluate the complementary prognosis role of N-terminal pro-B-type natriuretic peptide (NT-proBNP) and the newly developed Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations based on cystatin C (CysC) for glomerular filtration rate (GFR) estimation in ADHF patients.

Hypothesis: Renal impairment assessed by CysC-based CKD-EPI equations and natriuretic peptides have complementary prognostic value in ADHF patients.

Methods: The study included 613 consecutive patients presenting with ADHF. At admission, plasma levels of NT-proBNP and CysC were determined. The GFR was estimated using CysC-based CKD-EPI equations. The primary endpoint was death from any cause and heart failure readmission.

Results: During the median follow-up of 365 days (interquartile range, 227-441 days), 323 patients (0.65 %patient-year) died or were readmitted for heart failure. After multivariate adjustment, estimated GFR <60 mL/min/1.73 m(2) and NT-proBNP >3251 pg/mL were independent predictors of adverse outcomes (P < 0.01). The combination of GFR <60 mL/min/1.73 m(2) and NT-proBNP >3251 pg/mL was associated with the highest risk of adverse outcomes. Furthermore, reclassification analyses demonstrated that use of both NT-proBNP and CysC-based CKD-EPI equations resulted in improving the accuracy for adverse outcomes prediction.

Conclusions: In patients with ADHF, the combination of NT-proBNP with estimated GFR using CysC-based CKD-EPI equations better predicts outcomes than either parameter alone and adds valuable complementary prognosis information to other established risk factors.

Publication types

  • Evaluation Study
  • Multicenter Study

MeSH terms

  • Aged
  • Aged, 80 and over
  • Biomarkers / blood
  • Chi-Square Distribution
  • Cystatin C / blood*
  • Female
  • Glomerular Filtration Rate*
  • Heart Failure / blood*
  • Heart Failure / diagnosis*
  • Heart Failure / mortality
  • Heart Failure / physiopathology
  • Heart Failure / therapy
  • Humans
  • Kaplan-Meier Estimate
  • Kidney / physiopathology*
  • Logistic Models
  • Male
  • Middle Aged
  • Models, Biological*
  • Multivariate Analysis
  • Natriuretic Peptide, Brain / blood*
  • Patient Readmission
  • Peptide Fragments / blood*
  • Predictive Value of Tests
  • Prognosis
  • Proportional Hazards Models
  • Renal Insufficiency, Chronic / blood*
  • Renal Insufficiency, Chronic / diagnosis*
  • Renal Insufficiency, Chronic / mortality
  • Renal Insufficiency, Chronic / physiopathology
  • Renal Insufficiency, Chronic / therapy
  • Risk Factors
  • Spain
  • Time Factors

Substances

  • Biomarkers
  • CST3 protein, human
  • Cystatin C
  • Peptide Fragments
  • pro-brain natriuretic peptide (1-76)
  • Natriuretic Peptide, Brain