The correlation between cardiac T2*MRI and B-Type natriuretic peptides in patients with transfusion-dependent anemias and systemic iron overload: a systematic review and meta-analysis.
Mohamad Amin Kharaghani, Reza Samiee, Amirhossein Shahsavand et al.
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In 30 seconds
This systematic review and meta-analysis examined whether B-type natriuretic peptide (BNP) and NT-proBNP levels are associated with cardiac T2* MRI measures of myocardial iron in patients with transfusion-dependent anemias and systemic iron overload. Nine studies involving 783 patients were included in the review, with pooled analyses from seven. T2* values showed a moderate inverse correlation with natriuretic peptide levels (r = -0.30, 95% CI -0.51 to -0.06), consistent with higher peptide levels alongside greater myocardial iron deposition. Peptide levels were also higher in patients with cardiac iron overload than in those without it.
Key findings
- Across seven studies, T2* values and natriuretic peptide levels had a moderate inverse correlation (r = -0.30, 95% CI -0.51 to -0.06).
- Patients with cardiac iron overload (T2* < 20 ms) had higher pooled peptide concentrations than those without overload: 321.1 (95% CI 248.3-393.9) versus 179.0 (95% CI 134.3-223.6).
- Cardiac iron overload was associated with higher natriuretic peptide levels (standardized mean difference = -0.71, 95% CI -1.32 to -0.11).
Why it matters
Cardiac MRI is the gold standard for assessing myocardial iron but may be costly and unavailable. The observed association suggests natriuretic peptides could provide complementary information about myocardial stress and iron burden, potentially helping identify patients who warrant further assessment. The findings support investigation of these biomarkers, but do not establish them as substitutes for MRI or as validated tools for longitudinal risk prediction.
What to keep in mind
The pooled analyses used data from seven studies, and the authors state that further prospective studies are needed to validate longitudinal assessment and risk prediction.