To Örebro University

This viewpoint with two illustrated case summaries of biventricular and biatrial mechanical function/dysfunction emphasizes the importance of continued research in deformation imaging beyond the left ventricle, as there are no Cinderellas in the heart and we just cannot afford to be nonchalant toward the atria, particularly the right atrium.

Aims: Deformation imaging, particularly of left-sided heart, is fast becoming an essential tool in clinical cardiology. However, data are scant regarding the value of biventricular and bi-atrial deformation in association with comorbidities in heart failure with reduced left ventricular ejection fraction (HFREF).

Methods and Results: Forty-nine subjects (72 +/- 13years; 28 male) with HFREF and 14 age-matched controls underwent deformation imaging including LV global longitudinal strain (LVGLS%), right ventricular strain (RVS%), and left atrial reservoir strain (LARS%). Standard echo parameters included LVEF%, E/E ratio, and pulmonary artery systolic pressure (PASP). Mean +/- SD of LVEF, LVGLS%, and RVS% were 31% +/- 8%, 7% +/- 3%, and 17% +/- 7%, respectively, and were significantly lower compared with controls (all P < .0001). Over a follow-up period of 4.2years, 24% of patients died and 48% had a composite outcome of death and heart failure hospitalization. In the logistic regression model, taking the composite of death and heart failure hospitalization as a dichotomous variable, RVS%, E/E ratio, and PASP were the only significant univariate predictors of adverse outcome (R-2 = .68, all P < .05). In the multivariate model, however, only PASP predicted adverse outcome. PASP also had the largest AUC (0.8) in the ROC analysis. A creatinine level of >88 mu mol/L (SCREAT) and a cutoff value of LA reservoir strain (LARS %) at <16.7% provided the best sensitivity (86%) and specificity (40%) with an odds ratio of 3.8. In the Kaplan-Meier survival estimate, LARS%-SCREAT predicted all-cause mortality and HF hospitalization.

Conclusion: Multichamber deformation imaging along with renal function and PASP could best predict adverse outcome in HFREF.

BACKGROUND: Atrial fibrillation (AF) is a bi-atrial disease yet little attention has been given to right heart function in AF. We propose that the assessment of right atrial (RA) and right ventricular function (RV) using two-dimensional speckle tracking echocardiography (2D-STE) could be valuable in predicting AF recurrence in patients with paroxysmal AF (PAF).

METHODS: Thirty patients with PAF were prospectively recruited from a dedicated AF clinic. Right atrial size, volume, and area and RV dimensions were analyzed along with RA and RV strain derived from 2D-STE at baseline and at 3 and 12 months.

RESULTS: Higher RA booster strain independently predicted sinus rhythm (SR) maintenance for up to 1 year (P = 0.001). RV strain was impaired in patients with recurrent AF compared to those in SR (P < 0.05) but did not predict AF recurrence. Two-dimensional STE for RA and RV function was simple to perform with excellent reproducibility (adjusted R (2) 0.92-0.99).

CONCLUSIONS: Two-dimensional STE is useful and highly reproducible in assessing right heart function in AF patients. RA booster strain function was predictive of sinus rhythm maintenance for up to 1 year.

Cardiovascular assessment of patients with Marfan syndrome has normally focused on the aortic root and vascular manifestations of the disease due to the high risk of aortic dissection. Although primary myocardial impairment has long been suspected in these patients, the evidence has been controversial. Advanced echocardiography and cardiovascular magnetic resonance imaging have proven to be effective, accurate, and more sensitive in the detection of subtle cardiac dysfunction. The application of these techniques to Marfan syndrome over the last 10 years has made significant progress in demonstrating the presence of primary myocardial impairment in these patients, but further work is still required to obtain confirmatory molecular, pathophysiological, and prognostic clinical data. Phenotypic expression of the disease has prognostic value, also suggesting potential effective medical therapy.