March 8, 2013European Journal of Heart Failure
Clinical Utility and Prognostic Value of Left Atrial Volume Assessment by Cardiovascular Magnetic Resonance in Non-Ischaemic Dilated Cardiomyopathy
Why the study?
Does left atrial volume assessment by cardiovascular magnetic resonance predict transplant-free survival and heart failure outcomes in patients with non-ischaemic dilated cardiomyopathy?
Population
Patients with non-ischaemic dilated cardiomyopathy (DCM)
Design
Cohort
Authors
Discussion
Loading...
Member takes
Implication
Left atrial volume index assessed by CMR is an independent predictor of transplant-free survival and heart failure outcomes in non-ischaemic dilated cardiomyopathy, improving risk stratification.
Key Points
- Evaluate the prognostic value of left atrial volume assessment using cardiovascular magnetic resonance in dilated cardiomyopathy.
- Conducted LAV assessment using cardiovascular magnetic resonance in patients with dilated cardiomyopathy.
- Analyzed transplant-free survival and heart failure outcomes based on LAVi measurements.
- Incorporated LAV assessment into routine CMR examinations.
- LAVi independently predicts transplant-free survival and heart failure outcomes in dilated cardiomyopathy.
- Enhanced risk stratification for heart failure observed with LAV assessment.
- Recommendation for routine incorporation of LAV assessment in CMR examinations.
Structured PICO
Does left atrial volume assessment by cardiovascular magnetic resonance predict transplant-free survival and heart failure outcomes in patients with non-ischaemic dilated cardiomyopathy?
P
Population
Patients with non-ischaemic dilated cardiomyopathy (DCM)
I
Intervention
Left atrial volume (LAV) / Left atrial volume index (LAVi) assessment by Cardiovascular Magnetic Resonance (CMR)
O
Outcome
Transplant-free survival and heart failure (HF) outcomeshard clinical
Left atrial volume index assessed by CMR is an independent predictor of transplant-free survival and heart failure outcomes in non-ischaemic dilated cardiomyopathy, improving risk stratification.
Cite This Study
Gulati et al. (2013) studied this question.