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Published on: June 10, 2025
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.
Abstract:
We assessed the predictive ability of selected biomarkers using N-terminal pro-brain natriuretic peptide (NT-proBNP) as the benchmark and tried to establish a multi-biomarker approach to heart failure (HF) in hypertensive patients. In 120 hypertensive patients with or without overt heart failure, the incremental predictive value of the following biomarkers was investigated: Collagen III N-terminal propeptide (PIIINP), cystatin C (CysC), lipocalin-2/NGAL, syndecan-4, tumor necrosis factor-α (TNF-α), interleukin 1 receptor type I (IL1R1), galectin-3, cardiotrophin-1 (CT-1), transforming growth factor β (TGF-β) and N-terminal pro-brain natriuretic peptide (NT-proBNP). The highest discriminative value for HF was observed for NT-proBNP (area under the receiver operating characteristic curve (AUC)=0.873) and TGF-β (AUC=0.878). On the basis of ROC curve analysis we found that CT-1>152 pg/mL, TGF-β<7.7 ng/mL, syndecan>2.3 ng/mL, NT-proBNP>332.5 pg/mL, CysC>1 mg/L and NGAL>39.9 ng/mL were significant predictors of overt HF. There was only a small improvement in predictive ability of the multi-biomarker panel including the four biomarkers with the best performance in the detection of HF-NT-proBNP, TGF-β, CT-1, CysC-compared to the panel with NT-proBNP, TGF-β and CT-1 only. Biomarkers with different pathophysiological backgrounds (NT-proBNP, TGF-β, CT-1, CysC) give additive prognostic value for incident HF in hypertensive patients compared to NT-proBNP alone.
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