Dataset Information

Association of growth differentiation factor-15 level with adverse outcomes in patients with stable coronary artery disease: A meta-analysis

ABSTRACT:

Background and aims

Studies on the association between growth-differentiation factor-15 (GDF-15) level and adverse outcomes have yielded conflicting results in patients with stable coronary artery disease (CAD). This meta-analysis aimed to evaluate the association of baseline GDF-15 level with adverse outcomes in stable CAD patients.

Methods

Two authors independently searched PubMed and Embase databases from inception to May 31, 2021 for available studies that investigated the association of baseline GDF-15 level with all-cause mortality, cardiovascular mortality, or major adverse cardiovascular events (MACEs) in stable CAD patients. Pooled multivariable adjusted hazard ratio (HR) with 95% confidence interval (CI) was calculated for the highest vs. the lowest GDF-15 level.

Results

Seven studies that involved 28,765 stable CAD patients were identified and analyzed. The meta-analysis showed that the highest GDF-15 level was associated with higher risk of MACEs (HR 1.42; 95% CI 1.29–1.57; p < 0.001), cardiovascular mortality (HR 1.64: 95% CI 1.25–2.14; p < 0.001), and all-cause mortality (HR 2.01; 95% CI 1.67–2.42; p < 0.001) when compared the lowest GDF-15 level. Moreover, the values of GDF-15 level in predicting MACEs were consistently observed in each named subgroup.

Conclusions

Elevated blood GDF-15 level is an independent predictor of MACEs, cardiovascular mortality, and all-cause mortality in stable CAD patients. The baseline GDF-15 level may play an important role in the risk stratification of stable CAD patients. Graphical abstract Image 1 Highlights • Predictive value of GDF-15 level has not been well-established in stable CAD patients.• Stable CAD patients with the highest GDF-15 had a 42% higher risk of MACEs (p < 0.001).• Stable CAD patients with the highest GDF-15 had a 64% higher risk of cardiovascular death (p < 0.001).• Stable CAD patients with the highest GDF-15 had a 2.01-fold higher risk of all-cause death (p < 0.001).• Baseline GDF-15 level is a promising biomarker of adverse outcomes in stable CAD patients.

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PROVIDER: S-EPMC9833259 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature

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Project description: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.