Exploring the utility of bioelectrical impedance for body composition assessment in cancer patients: new perspectives
Bioelectrical impedance analysis; nutritional assessment; body composition; muscle quality; cancer; hospitalized patient.
Cancer is a disease with high incidence and mortality rates, and its course tends to induce changes in body composition (BC) that negatively impact the disease prognosis. Monitoring these changes in BC is crucial. Therefore, reliable, accessible, and practical methods for assessing BC are essential. Bioelectrical impedance analysis (BIA) is a viable alternative in practice. BIA provides a detailed and functional approach to BC, with the potential to overcome the limitations of other existing methods. In this regard, this study aims to analyze different approaches to BIA in the assessment of BC in cancer patients. Two cross-sectional studies were conducted, including hospitalized adults and elderly individuals with cancer. One study compared raw parameters [resistance (R) and reactance (Xc)] and estimates [fat-free mass (FFM) and phase angle (PhA)] derived from BIA, obtained by BIA devices from homologous models and different manufacturers (Study 1). The other study evaluated the performance of PhA in assessing muscle quality (Study 2). In Study 2, skeletal muscle radiodensity (SMD), muscle quality index (MQI), and strength-to-muscle radiodensity index (SMRi) were used as indicators of morphological, functional, and "morpho-functional" muscle quality, respectively. Statistical tests for correlation and agreement were applied, and P values < 0.05 were considered statistically significant. In Study 1, 116 patients were included, with a mean age of 60.8 ± 14.8 years, and 51.7% were female. Very strong correlations were found between the measurements of R (rho = 0.971) and FFM (r = 0.979), and strong correlations for Xc (rho = 0.784) and PhA (rho = 0.768). However, the measurements did not show agreement between methods, with less satisfactory results for reactance and PhA, showing a concordance bias of -14.18% [35.67 - (-64.04)] and -13.33% [40.30 - (-66.80)], respectively. In Study 2, 294 patients were included, with a median age of 62 years (range: 59-69), and 53.7% were male. PhA was moderately correlated with SMD (rho = 0.48, P < 0.001) and poor correlated with MQI and SMRi (rho = 0.22 and 0.26, respectively, P < 0.001). Low PhA showed moderate agreement with low SMD and poor agreement when compared with low MQI and SMRi values. PhA exhibited moderate accuracy (AUC > 0.70) in classifying low SMD, with a more modest accuracy in classifying low MQI and SMRi among males. In conclusion, the results obtained by BIA are significantly influenced by the device manufacturer and the appropriateness of the formulas used for the equipment. Additionally, PhA shows modest ability in classifying reduced muscle quality.