Soluble ST2 serum concentration and renal function in heart failure

Antoni Bayes-Genis, Elisabet Zamora, Marta De Antonio, Amparo Galán, Joan Vila, Agustín Urrutia, Crisanto Díez, Ramon Coll, Salvador Altimir, Josep Lupón

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63 Citations (Scopus)

Abstract

Background Soluble ST2 (sST2) provides important prognostic information in patients with heart failure (HF). How sST2 serum concentration is related to renal function is uncertain. We evaluated the association between sST2 and renal function and compared its prognostic value in HF patients with renal insufficiency. Methods and Results Patients (n = 879; median age 70.4 years; 71.8% men) were divided into 3 subgroups according to estimated glomerular filtration rate (eGFR): ≥60 mL/min/1.73 m2 (n = 337); 30-59 mL/min/1.73 m2 (n = 352); and <30 mL/min/1.73 m2 (n = 190). sST2 (rho = -0.16; P <001), N-terminal pro-B-type natriuretic peptide (rho = -0.40; P <001), and high-sensitivity cardiac troponin T (rho = -0.47; P <001) inversely correlated with eGFR. All-cause mortality was the primary end point. During a median follow-up of 3.46 years, 312 patients (35%) died, 246 of them from the subgroup of 542 patients with eGFR <60 mL/min/1.73 m 2 (45%). Biomarker combination including sST2 showed best discrimination, calibration, and reclassification metrics in renal insufficiency patients (net reclassification improvement 16.6 [95% confidence interval (CI) 8.1-25; P <001]; integrated discrimination improvement 4.2 [95% CI 2.2-6.2; P <001]). Improvement in reclassification was higher in these patients than in the total cohort. Conclusions The prognostic value of sST2 was not influenced by renal function. On top of other biomarkers, sST2 improved long-term prediction in patients with renal insufficiency even more than in the total cohort. © 2013 Elsevier Inc. All rights reserved.
Original languageEnglish
Pages (from-to)768-775
JournalJournal of Cardiac Failure
Volume19
DOIs
Publication statusPublished - 1 Nov 2013

Keywords

  • Heart failure
  • cardiac markers
  • prognosis
  • renal dysfunction
  • risk prediction

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