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Published on: June 10, 2025
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.
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.
Abstract:
Aim: We assessed the 10-year prognostic role of 11 biomarkers with different pathophysiological backgrounds. Materials & methods/results: Blood samples from 144 patients with heart failure were analyzed. After 10 years of follow-up (median follow-up was 104 months), data regarding all-cause mortality were acquired. Regarding Kaplan-Meier analysis, all markers, except TIMP-1 and GDF-15, were significant predictors for all-cause mortality. We created a multimarker model with nt-proBNP, hs-TnT and IGF-BP7 and found that patients in whom all three markers were elevated had a significantly worse long-time prognosis than patients without elevated markers. Conclusion: In a 10-year follow-up, a combination of three biomarkers (NT-proBNP, hs-TnT, IGF-BP7) identified patients with a high risk of mortality.
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