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

Pedro J Flores-Blanco1, Sergio Manzano-Fernández, Juan I Pérez-Calvo

  • 1Division of Cardiology, University Hospital Virgen de la Arrixaca, School of Medicine, University of Murcia, Murcia, Spain.

Clinical Cardiology
|February 10, 2015
PubMed

Insights

Combining N-terminal pro-B-type natriuretic peptide (NT-proBNP) and cystatin C-based estimated glomerular filtration rate (eGFR) improves prediction of adverse outcomes in acute decompensated heart failure (ADHF) patients. This dual approach offers enhanced prognostic information beyond individual markers.

Area of Science:

  • Cardiology
  • Nephrology
  • Biomarker Research

Background:

  • Acute decompensated heart failure (ADHF) patients face adverse outcomes predicted by natriuretic peptides and renal impairment.
  • Evaluating complementary prognostic roles of NT-proBNP and cystatin C (CysC)-based CKD-EPI equations is crucial for ADHF management.

Purpose of the Study:

  • To assess the combined prognostic value of NT-proBNP and CysC-based CKD-EPI equations for estimating GFR in ADHF patients.
  • To determine if this combination improves prediction of adverse outcomes compared to individual markers.

Main Methods:

  • 613 consecutive ADHF patients were enrolled.
  • Plasma NT-proBNP and CysC levels were measured at admission.
  • GFR was estimated using CysC-based CKD-EPI equations; primary endpoint was all-cause death or heart failure readmission.

Main Results:

  • An eGFR <60 mL/min/1.73 m² and NT-proBNP >3251 pg/mL independently predicted adverse outcomes after multivariate adjustment.
  • The combination of low eGFR and high NT-proBNP identified patients with the highest risk.
  • Integrating NT-proBNP and CysC-based eGFR improved prediction accuracy for adverse outcomes.

Conclusions:

  • The combination of NT-proBNP and CysC-based eGFR offers superior prediction of outcomes in ADHF patients compared to either marker alone.
  • This combined approach provides valuable complementary prognostic information to existing risk factors.
Abstract

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