The multi-biomarker approach for heart failure in patients with hypertension

Agata Bielecka-Dabrowa1, Anna Gluba-Brzózka2, Marta Michalska-Kasiczak3

  • 1These authors contributed equally to this work.. agatbiel7@poczta.onet.pl.

Insights

This study explored multiple biomarkers for predicting heart failure (HF) in hypertensive patients. Combining N-terminal pro-brain natriuretic peptide (NT-proBNP) with transforming growth factor-beta (TGF-β), cardiotrophin-1 (CT-1), and cystatin C (CysC) improved HF prediction beyond NT-proBNP alone.

Area of Science:

  • Cardiology
  • Biomarker Discovery
  • Hypertension Research

Background:

  • Hypertension is a major risk factor for heart failure (HF).
  • Early and accurate prediction of HF in hypertensive patients is crucial for timely intervention.
  • N-terminal pro-brain natriuretic peptide (NT-proBNP) is a recognized biomarker for HF, but its predictive ability may be enhanced by other markers.

Purpose of the Study:

  • To evaluate the predictive capabilities of various biomarkers for HF in hypertensive individuals.
  • To establish a multi-biomarker approach for improved HF detection and prognosis in this population.
  • To compare the performance of individual biomarkers and multi-biomarker panels against NT-proBNP.

Main Methods:

  • A cohort of 120 hypertensive patients, with or without overt HF, was studied.
  • The predictive value of NT-proBNP, transforming growth factor-beta (TGF-β), cardiotrophin-1 (CT-1), cystatin C (CysC), and others were assessed using receiver operating characteristic (ROC) curve analysis.
  • Multi-biomarker panels were constructed and their predictive ability for HF was evaluated.

Main Results:

  • NT-proBNP (AUC=0.873) and TGF-β (AUC=0.878) demonstrated the highest discriminative value for HF.
  • Specific thresholds for CT-1, TGF-β, syndecan-4, NT-proBNP, CysC, and NGAL were identified as significant predictors of overt HF.
  • A multi-biomarker panel combining NT-proBNP, TGF-β, CT-1, and CysC showed only a marginal improvement over a panel with NT-proBNP, TGF-β, and CT-1.

Conclusions:

  • Biomarkers including NT-proBNP, TGF-β, CT-1, and CysC offer additive prognostic value for incident HF in hypertensive patients.
  • A multi-biomarker strategy incorporating markers with distinct pathophysiological roles may enhance HF prediction beyond NT-proBNP alone.
  • Further validation of these multi-biomarker panels is warranted for clinical application in hypertensive HF management.

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