Lean body mass is the strongest anthropometric predictor of left ventricular mass in the obese paediatric population

Abstract

Background:Indexing left ventricular mass to body surface area or height2.7 leads to inaccuracies in diagnosing left ventricular hypertrophy in obese children. Lean body mass predictive equations provide the opportunity to determine the utility of lean body mass in indexing left ventricular mass. Our objectives were to compare the diagnostic accuracy of predicted lean body mass, body surface area, and height in detecting abnormal left ventricle mass in obese children.Methods:Obese non-hypertensive patients aged 4–21 years were recruited prospectively. Dual-energy X-ray absorptiometry was used to measure lean body mass. Height, weight, sex, race, and body mass index z-score were used to calculate predicted lean body mass.Results:We enrolled 328 patients. Average age was 12.6 ± 3.8 years. Measured lean body mass had the strongest relationship with left ventricular mass (R2 = 0.84, p < 0.01) compared to predicted lean body mass (R2 = 0.82, p < 0.01), body surface area (R2 = 0.80, p < 0.01), and height2.7 (R2 = 0.65, p < 0.01). Of the clinically derived variables, predicted lean body mass was the only measure to have an independent association with left ventricular mass (β = 0.90, p < 0.01). Predicted lean body mass was the most accurate scaling variable in detecting left ventricular hypertrophy (positive predictive value = 88%, negative predictive value = 99%).Conclusions:Lean body mass is the strongest predictor of left ventricular mass in obese children. Predicted lean body mass is the most accurate anthropometric scaling variable for left ventricular mass in left ventricular hypertrophy detection. Predicted lean body mass should be considered for clinical use as the body size correcting variable for left ventricular mass in obese children.

Defining left ventricular remodeling using lean body mass allometry: a UK Biobank study

“…Our analysis also confirms that scaling to LBM is best accomplished with a coefficient of 0.85 when derived from a reference group with normal body composition. This is in agreement with previous smaller studies which have found an allometric coefficient close of 0.9 (George et al 2009;Giraldeau et al 2015;Krysztofiak et al 2019;Martinho et al 2020;Shea et al 2020) . Compared to other body size metrics, LBM was more strongly associated with LVM and LVEDV and therefore had the lowest coefficient of variation.…”

A prospective cohort study on the association of lean body mass estimated by mid‐upper arm muscle circumference with hypertension risk in Chinese residents

“…Lean body mass (LBM) or skeletal muscle mass plays a key role in energy metabolism, and the promotion of LBM and muscular strength is always advocated in preventing obesity‐related metabolic abnormalities, as well as geriatric sarcopenia and frailty 1–3 . Elevated blood pressure (BP) and hypertension are major risk factors of several cardiovascular diseases (CVDs), and generate huge health and economic burdens 4–6 . The unfavorable relationship between LBM and hypertension has been found in cross‐sectional studies, while opposite findings were also reported 7–10 .…”

“…[1][2][3] Elevated blood pressure (BP) and hypertension are major risk factors of several cardiovascular diseases (CVDs), and generate huge health and economic burdens. [4][5][6] The unfavorable relationship between LBM and hypertension has been found in cross-sectional studies, while opposite findings were also reported. [7][8][9][10] Such inconsistency was probably resulted from the variances of populations, as well as the utilities of different measurements of LBM.…”

New Measurement of the Body Mass Index with Bioimpedance Using a Novel Interpretable Takagi-Sugeno Fuzzy NARX Predictive Model

“…where 𝒒 𝑖 (𝑠) is the basis of the i-th model term at s-th selection iteration. At the first iteration when 𝑠 = 1, the initial basis is selected as 𝒒 𝑖 (1) = 𝝋 𝑖 , 𝑖 = 1,2, … 𝑀. At each step, the significant term can be selected as 𝒒 𝑠 = 𝒒 𝑙 𝑠 (𝑠) ,…”

“…Body Mass Index (BMI) describes the relationship between the mass and height of human. It is a critical indicator for the medical research and diagnosis, especially in the field of obesity, maturity and heritability [1][2][3]. The conventional measurement of human BMI is derived from the weight and the square of body height.…”