Incidence and predictors of new onset left ventricular diastolic dysfunction in asymptomatic patients with rheumatoid arthritis without overt cardiac disease.

Rheumatoid arthritis (RA) is associated with higher risk of heart failure. Several studies report that left ventricular (LV) diastolic dysfunction (LVDD), a silent precursor of heart failure, is widely present in RA patients. Very little is known about the factors related to the development of LVDD in this disease. In this study we assessed the incidence and the predictors of new-onset LVDD in RA patients. Two-hundred-ninety-five adults with RA without overt cardiac disease were prospectively analyzed from March 2014 to March 2015 by Doppler echocardiography. Among the 295 subjects evaluated, 217 (73.6%) had normal LV diastolic function and represented the final study population. At 1-year follow-up, 53 of 217 patients (24%) developed LVDD, which was of degree I (mild dysfunction) in all of them. By multivariate logistic regression analysis, lower E/A ratio of transmitral flow (ratio between the peak velocity of early diastolic "E" wave and late diastolic "A" wave of transmitral flow) was independently associated with new-onset LVDD [OR 0.17 (CI 0.09-0.57)], together with older age and higher systolic blood pressure. In a clinical predictive model derived from multivariate analysis, the new-onset LVDD rate event ranged from 0% (patients without any factor) to 75% (patients in whom the three predictors coexisted). A significant portion of patients with RA without overt cardiac disease develop LVDD at 1-year follow-up. This condition can be predicted by a simple clinical model which could improve the clinical management and the prognostic stratification of patients with RA.

A novel skeleton based quantification and 3-D volumetric visualization of left atrium fibrosis using late gadolinium enhancement magnetic resonance imaging.

This work presents the results of a new tool for 3-D segmentation, quantification and visualization of cardiac left atrium fibrosis, based on late gadolinium enhancement magnetic resonance imaging (LGE-MRI), for stratifying patients with atrial fibrillation (AF) that are candidates for radio-frequency catheter ablation. In this study 10 consecutive patients suffering AF with different grades of atrial fibrosis were considered. LGE-MRI and magnetic resonance angiography (MRA) images were used to detect and quantify fibrosis of the left atrium using a threshold and 2-D skeleton based approach. Quantification and 3-D volumetric views of atrial fibrosis were compared with quantification and 3-D bipolar voltage maps measured with an electro-anatomical mapping (EAM) system, the clinical reference standard technique for atrial substrate characterization. Segmentation and quantification of fibrosis areas proved to be clinically reliable among all different fibrosis stages. The proposed tool obtains discrepancies in fibrosis quantification less than 4% from EAM results and yields accurate 3-D volumetric views of fibrosis of left atrium. The novel 3-D visualization and quantification tool based on LGE-MRI allows detection of cardiac left atrium fibrosis areas. This noninvasive method provides a clinical alternative to EAM systems for quantification and localization of atrial fibrosis.

Identification of left atrial fibrosis with a late-enhancement MR sequence (LE-MR): preliminary results.

PURPOSE: This study was done to identify left atrial fibrosis in a group of consecutive patients with atrial fibrillation (AF) candidate for percutaneous radiofrequency catheter ablation (RFCA) by using a late-enhancement magnetic resonance (LE-MR) sequence, and to validate the technique by comparison with electroanatomical mapping (EAM). MATERIALS AND METHODS: We enrolled 37 patients (29 males; mean age, 61 years) candidate for percutaneous RFCA of AF, who were studied with LE-MR and EAM. To identify left AF we used a three-dimensional LE sequence with cardiac gating and respiratory navigator. The EAM study involved the acquisition of 200 points in the left atrium (LA). The LA was divided into seven segments (pulmonary vein antra, floor, anterior wall, posterior wall-roof). Two blinded radiologists assessed the presence of fibrosis (area of hyperintense signal), reaching a consensus in discordant cases. Inter-observer variability was also evaluated to estimate the reproducibility of the method. We analysed the anatomical agreement between the results obtained with LE-MR imaging and EAM. RESULTS: Five patients were excluded because of to poor image quality. As for the other 32 patients, inter-observer agreement was good [Cohen's kappa κ = 0.72 with 95 % confidence interval (CI) of 0.55, 0.89]. In the classification of LA segments affected by fibrosis, LE-MR had a sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy of 66 % (95 % CI 53.7 %, 77.2 %); 87 % (95 % CI 80.9 %, 91.9 %); 69 % (95 % CI 56.5 %, 80.1 %); 85.5 % (95 % CI 79.1 %, 90.6 %) and 81 % (95 % CU 75.1 %, 85.7 %). CONCLUSIONS: Despite the small size of the sample studied, the LE-MR sequence proved more useful for excluding the presence of AF than for confirming its existence. Identification of AF prior to RFCA is paramount to select those patients who are truly amenable to the ablation procedure, which is expensive and not entirely free of risks.