Heart failure therapy-induced early ST2 changes may offer long-term therapy guidance

  • Tobias Breidthardt
  • Cathrin Balmelli
  • Raphael Twerenbold
  • Tamina Mosimann
  • Jaqueline Espinola
  • Philip Haaf
  • Gregor Thalmann
  • Berit Moehring
  • Mira Mueller
  • Bernadette Meller
  • Tobias Reichlin
  • Karsten Murray
  • Ronny Ziller
  • Pascal Benkert
  • Stefan Osswald
  • Christian Mueller

Abstract

BACKGROUND: Biomarkers may help to monitor and tailor treatment in patients with acute heart failure (AHF).

METHODS AND RESULTS: Levels of ST2, a novel biomarker integrating hypervolemic cardiac strain and proinflammatory signals, were measured at presentation to the emergency department (ED) and after 48 hours in 207 patients with AHF. Patients were stratified according to their early ST2 response (responders: ST2 decrease ≥25%; nonresponders: ST2 decrease <25%) and beta-blocker, renin-angiotensin-aldosterone system (RAAS) blockade, or diuretic treatment status at hospital discharge. We assessed the utility of ST2 levels and its changes to predict long-term mortality and the interaction between ST2 levels, treatment at discharge, and 1-year mortality. ST2 levels were higher in nonsurvivors than in survivors (median 108 vs 69 ng/mL; P < .01) and decreased significantly during the 1st 48 hours (median decrease 33%). ST2 decrease was less in nonsurvivors compared with survivors (median -25% vs -42%; P < .01). In Cox regression, early ST2 changes independently predicted 1-year mortality (hazard ratio 1.07 for every increase of 10%; P = .02). RAAS blockers at discharge were associated with survival independently from ST2 response, whereas the association of beta-blockers with survival differed markedly according to ST2 response, with beneficial effects restricted to ST2 nonresponders (P interaction = .04). A similar, albeit nonsignificant, trend was observed for diuretics (P interaction = .11).

CONCLUSIONS: ED and serial ST2 measurements are independent predictors of 1-year mortality in AHF.

Bibliographical data

Original languageEnglish
ISSN1071-9164
DOIs
Publication statusPublished - 12.2013
Externally publishedYes

Comment Deanary

Copyright © 2013 Elsevier Inc. All rights reserved.

PubMed 24239955