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Troponin I in acute decompensated heart failure: insights from the ASCEND-HF study.

Publication ,  Journal Article
Felker, GM; Hasselblad, V; Tang, WHW; Hernandez, AF; Armstrong, PW; Fonarow, GC; Voors, AA; Metra, M; McMurray, JJV; Butler, J; Heizer, GM ...
Published in: Eur J Heart Fail
November 2012

AIMS: We examined the prognostic importance of cardiac troponin I (cTnI) in a cohort of patients enrolled in the ASCEND-HF study of nesiritide in acute decompensated heart failure (ADHF). Circulating troponins are a prognostic marker in patients with ADHF. Contemporary assays with greater sensitivity require reassessment of the significance of troponin elevation in HF. METHODS AND RESULTS: Cardiac troponin I was measured in a core laboratory in 808 ADHF patients enrolled in the ASCEND-HF biomarkers substudy using a sensitive assay (VITROS Trop I ES, Ortho Clinical Diagnostics) with a lower limit of detection of 0.012 ng/mL and a 99th percentile upper reference limit (URL) of 0.034 ng/mL. Patients with clinical evidence of acute coronary syndrome or troponin >5× the URL were excluded. Multivariable modelling was used to assess the relationship between log(cTnI) and in-hospital and post-discharge outcomes. Baseline cTnI was undetectable in 22% and elevated above the 99th percentile URL in 50% of subjects. cTnI levels did not differ based on HF aetiology. After multivariable adjustment, higher cTnI was associated with worsened in-hospital outcomes such as length of stay (P = 0.01) and worsening HF during the index hospitalization (P = 0.01), but was not associated with worsened post-discharge outcomes at 30 or 180 days. The relationship between cTnI and outcomes was generally linear and there was no evidence of a threshold effect at any particular level of cTnI. CONCLUSION: cTnI is elevated above the 99th percentile URL in 50% of ADHF patients and predicts in-hospital outcome, but is not an independent predictor of long-term outcomes.

Duke Scholars

Published In

Eur J Heart Fail

DOI

EISSN

1879-0844

Publication Date

November 2012

Volume

14

Issue

11

Start / End Page

1257 / 1264

Location

England

Related Subject Headings

  • Troponin I
  • Statistics as Topic
  • Prognosis
  • Odds Ratio
  • Natriuretic Peptide, Brain
  • Natriuretic Agents
  • Multivariate Analysis
  • Models, Statistical
  • Male
  • Humans
 

Citation

APA
Chicago
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MLA
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Felker, G. M., Hasselblad, V., Tang, W. H. W., Hernandez, A. F., Armstrong, P. W., Fonarow, G. C., … O’Connor, C. M. (2012). Troponin I in acute decompensated heart failure: insights from the ASCEND-HF study. Eur J Heart Fail, 14(11), 1257–1264. https://doi.org/10.1093/eurjhf/hfs110
Felker, G Michael, Vic Hasselblad, WH Wilson Tang, Adrian F. Hernandez, Paul W. Armstrong, Gregg C. Fonarow, Adriaan A. Voors, et al. “Troponin I in acute decompensated heart failure: insights from the ASCEND-HF study.Eur J Heart Fail 14, no. 11 (November 2012): 1257–64. https://doi.org/10.1093/eurjhf/hfs110.
Felker GM, Hasselblad V, Tang WHW, Hernandez AF, Armstrong PW, Fonarow GC, et al. Troponin I in acute decompensated heart failure: insights from the ASCEND-HF study. Eur J Heart Fail. 2012 Nov;14(11):1257–64.
Felker, G. Michael, et al. “Troponin I in acute decompensated heart failure: insights from the ASCEND-HF study.Eur J Heart Fail, vol. 14, no. 11, Nov. 2012, pp. 1257–64. Pubmed, doi:10.1093/eurjhf/hfs110.
Felker GM, Hasselblad V, Tang WHW, Hernandez AF, Armstrong PW, Fonarow GC, Voors AA, Metra M, McMurray JJV, Butler J, Heizer GM, Dickstein K, Massie BM, Atar D, Troughton RW, Anker SD, Califf RM, Starling RC, O’Connor CM. Troponin I in acute decompensated heart failure: insights from the ASCEND-HF study. Eur J Heart Fail. 2012 Nov;14(11):1257–1264.
Journal cover image

Published In

Eur J Heart Fail

DOI

EISSN

1879-0844

Publication Date

November 2012

Volume

14

Issue

11

Start / End Page

1257 / 1264

Location

England

Related Subject Headings

  • Troponin I
  • Statistics as Topic
  • Prognosis
  • Odds Ratio
  • Natriuretic Peptide, Brain
  • Natriuretic Agents
  • Multivariate Analysis
  • Models, Statistical
  • Male
  • Humans