Left Ventricular Mass Assessment by 1- and 2-Dimensional Echocardiographic Methods in Hemodialysis Patients: Changes in Left Ventricular Volume Using Echocardiography Before and After a Hemodialysis Session

Accuracy of Devereaux and Teichholz formulas for left ventricular mass calculation in different geometric patterns: comparison with cardiac magnetic resonance imaging

Left ventricular (LV) myocardial mass is important in the evaluation of cardiac remodeling and requires accurate assessment when performed on linear measurements in two-dimensional echocardiography (Echo). We aimed to compare the accuracy of the Devereaux formula (DEV) and the Teichholz formula (TEICH) in calculating LV myocardial mass in Echo using cardiac magnetic resonance (CMR) as the reference method. Based on preceding mathematical calculations, we identified primarily LV size rather than wall thickness as the main source of bias between DEV and TEICH in a retrospective derivation cohort (n = 1276). Although LV mass from DEV and TEICH were correlated with CMR, TEICH did not show a proportional bias as did DEV (- 2 g/m2 vs. + 22 g/m2). This could be validated in an independent prospective cohort (n = 226) with symptomatic non-ischemic heart failure. DEV systematically overestimated LV mass in all tiers of LV remodeling as compared to TEICH. In conclusion, the TEICH method accounts for the changes in LV geometry with increasing LV mass and thus better reflects the different pattern of LV remodeling than the DEV method. This has important clinical implications, as TEICH may be more appropriate for use in clinical practice, rather than DEV, currently recommended.

Echocardiographic changes in anorexia nervosa: a pathophysiological adaptation or a disease?

Anorexia Nervosa is one of the most common form of eating disorders. Cardiac involvement occurs in approximately 80% of patients. Few reports focused on the association between body weight fluctuations and echocardiographic abnormalities, considering linear measurements. We describe echocardiographic and clinical features among male and female patients with anorexia nervosa and the effect of weight gain on these parameters. We performed a single center, retrospective study of patients followed at a dedicated multidisciplinary Unit. The study population consisted of 81 patients, mean age 25 ± 11 years, 94% female. Median body mass index was 14.4 kg/m² (25th-75th percentile 12.7-15.6 kg/m²). Patients with body mass index below the median value had more often pericardial effusion, smaller left ventricular mass and left ventricular end-diastolic volume and thinner interventricular septum. However, when indexed to body surface area, left ventricular mass and volumes were within the normal range in 90% of population. Patients with pericardial effusion showed mitral valve abnormalities and lower values of white blood cells and platelets, although within normal limits. Presence of pericardial effusion was not related to inflammatory parameters or low plasma protein levels. In 39 patients who displayed weight gain during a median follow-up of 189 days (25th-75th percentile 47-471), increased left ventricular mass, interventricular septum thickness, white blood cells and platelet count and decreased pericardial effusion were observed. Patients with anorexia nervosa have a specific echocardiographic pattern which seems to be proportional to the body size, suggesting a pathophysiological adaptation to the lack of substrates.

Echocardiographic Left Ventricular Mass Assessment: Correlation between 2D-Derived Linear Dimensions and 3-Dimensional Automated, Machine Learning-Based Methods in Unselected Patients

A recently developed algorithm for 3D analysis based on machine learning (ML) principles detects left ventricular (LV) mass without any human interaction. We retrospectively studied the correlation between 2D-derived linear dimensions using the ASE/EACVI-recommended formula and 3D automated, ML-based methods (Philips HeartModel) regarding LV mass quantification in unselected patients undergoing echocardiography. We included 130 patients (mean age 60 ± 18 years; 45% women). There was only discrete agreement between 2D and 3D measurements of LV mass (r = 0.662, r² = 0.348, p < 0.001). The automated algorithm yielded an overestimation of LV mass compared to the linear method (Bland–Altman positive bias of 13.1 g with 95% limits of the agreement at 4.5 to 21.6 g, p = 0.003, ICC 0.78 (95%CI 0.68−8.4). There was a significant proportional bias (Beta −0.22, t = −2.9) p = 0.005, the variance of the difference varied across the range of LV mass. When the published cut-offs for LV mass abnormality were used, the observed proportion of overall agreement was 77% (kappa = 0.32, p < 0.001). In consecutive patients undergoing echocardiography for any indications, LV mass assessment by 3D analysis using a novel ML-based algorithm showed systematic differences and wide limits of agreements compared with quantification by ASE/EACVI- recommended formula when the current cut-offs and partition values were applied.