Evaluation of a multimarker panel in chronic heart failure: a 10-year follow-up

Susanne Bauer1, Christina Strack1, Ekrem Ücer1

  • 1University Hospital Regensburg, Department for Cardiology, Franz-Josef-Strauss Allee 11, Regensburg, 93053, Germany.

Biomarkers in Medicine
|November 16, 2021
PubMed

Insights

This study identified three key biomarkers for predicting heart failure mortality over 10 years. Elevated levels of N-terminal pro-B-type natriuretic peptide (NT-proBNP), high-sensitivity troponin T (hs-TnT), and insulin-like growth factor-binding protein 7 (IGF-BP7) indicate a high mortality risk.

Area of Science:

  • Biomarker discovery
  • Cardiovascular research
  • Prognostic modeling

Background:

  • Heart failure (HF) poses a significant global health burden.
  • Accurate prognostic markers are crucial for managing HF patients.
  • Existing biomarkers have limitations in predicting long-term outcomes.

Purpose of the Study:

  • To evaluate the 10-year prognostic value of 11 diverse biomarkers in heart failure patients.
  • To identify a combination of biomarkers for improved mortality risk stratification.
  • To validate a multimarker model for long-term prognosis in heart failure.

Main Methods:

  • Analysis of blood samples from 144 heart failure patients.
  • 10-year follow-up for all-cause mortality data acquisition.
  • Kaplan-Meier analysis and multimarker model development using NT-proBNP, hs-TnT, and IGF-BP7.

Main Results:

  • Most biomarkers, excluding TIMP-1 and GDF-15, were significant predictors of all-cause mortality.
  • A multimarker model combining NT-proBNP, hs-TnT, and IGF-BP7 demonstrated strong prognostic capability.
  • Patients with elevated levels of all three markers exhibited a significantly worse long-term prognosis.

Conclusions:

  • A combination of NT-proBNP, hs-TnT, and IGF-BP7 effectively identifies high-risk heart failure patients.
  • This three-biomarker panel offers a valuable tool for 10-year mortality risk assessment in HF.
  • The findings support the use of this multimarker approach for personalized HF management.

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