- Design
- Cross-sectional multicentre cardiac MRI study
- Population
- 1,154 patients with transfusion-dependent thalassaemia and 167 healthy controls
- Primary outcome
- Right ventricular–pulmonary arterial coupling and its associations
- Effect
- 0.68 vs 0.59 in controls; heart failure OR 3.99 (p = 0.049)
This cross-sectional study from the Italian E-MIOT network measured right ventricular–pulmonary arterial coupling in 1,154 patients with transfusion-dependent thalassaemia (mean age 37) and 167 matched controls. Coupling was calculated from standard cine images as right ventricular end-systolic volume index divided by stroke volume index, so it needs no additional sequence.
The ratio was higher in thalassaemia than in controls (0.68 vs 0.59). Among patients it rose with serum ferritin, myocardial iron overload and liver iron concentration, and was associated with junctional late gadolinium enhancement. In a multivariable model, higher coupling was independently associated with heart failure (OR 3.99, p = 0.049).
India has one of the largest populations with transfusion-dependent thalassaemia, and T2* cardiac MRI is already used to guide chelation where it is available. This ratio can be added to those studies from images already acquired. It is a cross-sectional association and the heart failure result only just reached significance, so it is a marker to report and follow, not yet a threshold to act on.
- Calculate right ventricular coupling from existing cine volumes in thalassaemia cardiac MRI reports
- Report it alongside myocardial T2*, biventricular volumes and ejection fractions
- Flag junctional late gadolinium enhancement when present
- Compare with previous studies to track change rather than a single value
Why it matters
A right heart marker available from standard cine images may add early warning to iron monitoring in thalassaemia.
Don't overread it
Cross-sectional and borderline significant for heart failure — this is not yet a validated risk threshold.
The statistics, in plain English
An odds ratio of 3.99 sounds large, but a p value of 0.049 sits right at the conventional threshold, so the true association could be much weaker. Cross-sectional data cannot show whether poor coupling comes before heart failure or results from it.
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