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Multiple marker approach to risk stratification in patients with stable coronary artery disease
Renate B Schnabel1, Andreas Schulz, C Martina Messow
1Department of Medicine II, University Medical Center of the Johannes Gutenberg-University Mainz, Langenbeckstr. 1, 55131 Mainz, Germany. schnabelr@gmx.de
Insights
Five biomarkers, including N-terminal-pro-B-type natriuretic peptide (NT-proBNP) and Growth-differentiation factor 15 (GDF-15), significantly predict cardiovascular events in stable angina patients. These markers offer improved risk prediction beyond traditional factors.
Area of Science:
- Cardiology
- Biomarker Discovery
- Risk Prediction
Background:
- Multimarker approaches for coronary artery disease risk prediction have shown inconsistent results.
- Assessing biomarkers from distinct pathophysiological pathways is crucial for improving cardiovascular risk assessment.
Purpose of the Study:
- To evaluate the predictive value of 12 diverse biomarkers for cardiovascular events in patients with stable angina.
- To identify the most potent biomarkers for cardiovascular risk stratification in this population.
Main Methods:
- A cohort of 1781 stable angina patients was analyzed over 3.6 years.
- Twelve biomarkers reflecting inflammation, lipid metabolism, renal function, and cardiovascular remodeling were measured.
- Cox proportional hazards models and C-indices were used to assess associations with non-fatal myocardial infarction and cardiovascular death.
Main Results:
- N-terminal-pro-B-type natriuretic peptide (NT-proBNP), Growth-differentiation factor 15 (GDF-15), mid-regional-pro-atrial natriuretic peptide (MR-proANP), cystatin C, and mid-regional-pro-adrenomedullin (MR-proADM) were the strongest predictors.
- These top five biomarkers demonstrated incremental predictive information beyond classical risk factors.
- Combining the top markers showed a slight improvement in model fit but did not significantly enhance clinical risk prediction.
Conclusions:
- NT-proBNP, GDF-15, MR-proANP, cystatin C, and MR-proADM are key predictors of cardiovascular outcomes in stable angina.
- These biomarkers offer added value for risk stratification in patients with stable coronary artery disease.
- While individually powerful, combining these markers did not substantially improve clinical risk prediction compared to single marker assessment.
Aims:
multimarker approaches for risk prediction in coronary artery disease have remained inconsistent. We assessed multiple biomarkers representing distinct pathophysiological pathways in relation to cardiovascular events in stable angina.
Methods And Results:
we investigated 12 biomarkers reflecting inflammation [C-reactive protein, growth-differentiation factor (GDF)-15, neopterin], lipid metabolism (apolipoproteins AI, B100), renal function (cystatin C, serum creatinine), and cardiovascular function and remodelling [copeptin, C-terminal-pro-endothelin-1, mid-regional-pro-adrenomedullin (MR-proADM), mid-regional-pro-atrial natriuretic peptide (MR-proANP), N-terminal-pro-B-type natriuretic peptide (Nt-proBNP)] in 1781 stable angina patients in relation to non-fatal myocardial infarction and cardiovascular death (n = 137) over 3.6 years. Using Cox proportional hazards models and C-indices, the strongest association with outcome for log-transformed biomarkers in multivariable-adjusted analyses was observed for Nt-proBNP [hazard ratio (HR) for one standard deviation increase 1.65, 95% confidence interval (CI) 1.28-2.13, C-index 0.686], GDF-15 (HR 1.59, 95% CI 1.25-2.02, C-index 0.681), MR-proANP (HR 1.46, 95% CI 1.14-1.87, C-index 0.673), cystatin C (HR 1.39, 95% CI 1.10-1.75, C-index 0.671), and MR-proADM (HR 1.63, 95% CI 1.21-2.20, C-index 0.668). Each of these top single markers and their combination (C-index 0.690) added predictive information beyond the baseline model consisting of the classical risk factors assessed by C-index and led to substantial reclassification (P-integrated discrimination improvement <0.05).
Conclusion:
comparative analysis of 12 biomarkers revealed Nt-proBNP, GDF-15, MR-proANP, cystatin C, and MR-proADM as the strongest predictors of cardiovascular outcome in stable angina. All five biomarkers taken separately offered incremental predictive ability over established risk factors. Combination of the single markers slightly improved model fit but did not enhance risk prediction from a clinical perspective.
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