Related Experiment Video
Updated: Jul 19, 2025
Coronary Progenitor Cells and Soluble Biomarkers in Cardiovascular Prognosis after Coronary Angioplasty
Published on: January 28, 2020
Growth differentiation factor 15 predicts cardiovascular events in stable coronary artery disease
Juan Wang1, Li-Na Han2, Dao-Sheng Ai3
1Heart Center of Beijing Chao-Yang Hospital, Capital Medical University, Beijing Key Laboratory of Hypertension, Beijing, China.
Insights
Higher levels of Growth Differentiation Factor 15 (GDF-15) predict cardiovascular events and death in stable coronary artery disease (CAD) patients. GDF-15 offers prognostic value independent of traditional risk factors and other biomarkers.
Area of Science:
- Biomarker discovery and validation in cardiovascular disease.
- Prognostic modeling for patients with stable coronary artery disease.
Background:
- Growth Differentiation Factor 15 (GDF-15) is investigated for its role in inflammatory and cardiovascular diseases.
- Existing research explores GDF-15 as a potential biomarker for adverse cardiovascular outcomes.
Purpose of the Study:
- To evaluate the predictive significance of GDF-15 levels for cardiovascular events and all-cause mortality.
- To assess GDF-15's prognostic performance in stable coronary artery disease (CAD) patients, beyond established risk factors and biomarkers.
Main Methods:
- Prospective study involving 3699 patients with stable CAD.
- Baseline measurement of GDF-15 levels and other clinical variables/biomarkers.
- Multivariable Cox regression analysis over a median follow-up of 3.1 years to predict major adverse cardiovascular events and mortality.
Main Results:
- Higher baseline GDF-15 levels correlated with older age, male gender, hypertension, and elevated NT-pro BNP, sST2, and creatine.
- A 1 SD increase in GDF-15 was associated with significantly increased risk of myocardial infarction (HR=2.83), heart failure (HR=2.71), and composite cardiovascular/non-cardiovascular death (HR=2.48).
- These associations remained significant after adjusting for traditional risk factors and other biomarkers.
Conclusions:
- Elevated GDF-15 levels provide independent prognostic information for cardiovascular events and all-cause mortality in stable CAD.
- GDF-15 demonstrates potential as a valuable addition to risk prediction models for secondary prevention in CAD patients.
Background:
Growth differentiation factor 15 (GDF-15) has been explored as a potential biomarker for various inflammatory diseases and cardiovascular events. This study aimed to assess the predictive role of GDF-15 levels in cardiovascular events and all-cause mortality, considering traditional risk factors and other biomarkers.
Methods:
A prospective study was conducted and 3699 patients with stable coronary artery disease (CAD) were enrolled into the research. Baseline GDF-15 levels were measured. Median follow-up was 3.1 years during the study. We analyzed clinical variables and several biomarkers. Multivariable Cox regression analysis was performed to evaluate prognostic performance of GDF-15 levels in predicting myocardial infarction (MI), heart failure, stroke, cardiovascular death, and non-cardiovascular death.
Results:
Baseline GDF-15 levels for 3699 patients were grouped by quartile (≤ 1153, 1153-1888, 1888-3043, > 3043 ng/L). Higher GDF-15 levels were associated with older age, male gender, history of hypertension, and elevated levels of N-terminal pro B-type natriuretic peptide (NT-pro BNP), soluble suppression of tumorigenesis-2 (sST2), and creatine (each with P < 0.001). Adjusting for established risk factors and biomarkers in Cox proportional hazards models, a 1 standard deviation (SD) increase in GDF-15 was associated with elevated risk of clinical events [hazard ratio (HR) = 2.18, 95% confidence interval (CI): (1.52-3.11)], including: MI [HR = 2.83 95% CI: (1.03-7.74)], heart failure [HR = 2.71 95% CI: (1.18-6.23)], cardiovascular and non-cardiovascular death [HR = 2.48, 95% CI (1.49-4.11)] during the median follow up of 3.1 years.
Conclusions:
Higher levels of GDF-15 consistently provides prognostic information for cardiovascular events and all cause death, independent of clinical risk factors and other biomarkers. GDF-15 could be considered as a valuable addition to future risk prediction model in secondary prevention for predicting clinical events in patient with stable CAD.
More Related Videos
07:25Predicting Amputation using Local Circulating Mononuclear Progenitor Cells in Angioplasty-treated Patients with Critical Limb Ischemia
Published on: September 22, 2020
13:07Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression
Published on: January 15, 2022
Related Concept Videos
01:26Coronary Artery Disease II: Pathophysiology
01:20Blood Studies for Cardiovascular System I: Cardiac Biomarkers
The essential diagnostic tools for detecting myocardial necrosis and monitoring individuals suspected of having acute coronary syndrome (ACS) include:
Troponins
Troponins, particularly cardiac troponins I and T, are the most precise and sensitive markers of myocardial injury. They are detectable within 4-6 hours of myocardial injury and remain...
01:30Coronary Artery Disease I: Introduction
01:26Coronary Artery Disease IV: Preventive Measures
01:30Coronary Artery Disease III: Clinical Manifestations
01:30Acute Coronary Syndrome III: Diagnostic Studies