Accuracy of high-sensitive troponin depending on renal function for clinical outcome prediction in patients with acute heart failure

Jakob Ledwoch, Anna Krauth, Jana Kraxenberger, Alisa Schneider, Katharina Leidgschwendner, Vera Schneider, Alexander Müller, Karl Ludwig Laugwitz, Christian Kupatt, Eimo Martens

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

High-sensitive troponin T (hs-TnT) is increasingly used for clinical outcome prediction in patients with acute heart failure (AHF). However, there is an ongoing debate regarding the potential impact of renal function on the prognostic accuracy of hs-TnT in this setting. The aim of the present study was to assess the prognostic value of hs-TnT within 6 h of admission for the prediction of 30-day mortality depending on renal function in patients with AHF. Patients admitted to our institution due to AHF were retrospectively included. Clinical information was gathered from electronic and paper-based patient charts. Patients with myocardial infarction were excluded. A total of 971 patients were enrolled in the present study. A negative correlation between estimated glomerular filtration rate (eGFR) and hsTnT was identified (Pearson r = − 0.16; p < 0.001) and eGFR was the only variable to be independently associated with hsTnT. The area under the curve (AUC) of hs-TnT for the prediction of 30-mortality was significantly higher in patients with an eGFR ≥ 45 ml/min (AUC 0.74) compared to those with an eGFR < 45 ml/min (AUC 0.63; p = 0.049). Sensitivity and specificity of the Youden Index derived optimal cut-off for hs-TnT was higher in patients with an eGFR ≥ 45 ml/min (40 ng/l: sensitivity 73%, specificity 71%) compared to patients with an eGFR < 45 ml/min (55 ng/l: sensitivity 63%, specificity 62%). Prognostic accuracy of hs-TnT in patients hospitalized for AHF regarding 30-day mortality is significantly lower in patients with reduced renal function.

Original languageEnglish
Pages (from-to)69-76
Number of pages8
JournalHeart and Vessels
Volume37
Issue number1
DOIs
StatePublished - Jan 2022

Keywords

  • Acute heart failure
  • Mortality prediction
  • Renal failure
  • Troponin

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