Banca de QUALIFICAÇÃO: AMANDA DE SOUSA REBOUÇAS

Uma banca de QUALIFICAÇÃO de DOUTORADO foi cadastrada pelo programa.
STUDENT : AMANDA DE SOUSA REBOUÇAS
DATE: 22/11/2024
TIME: 14:00
LOCAL: REMOTA - HTTPS://MEET.GOOGLE.COM/ERC-UCUC-TRK
TITLE:

A potential bioelectrical impedance equation for estimating skeletal muscle area using computed tomography in colorectal cancer.

KEY WORDS:

Bioelectrical impedance analysis; body composition; cancer; computed tomography; predictive equation; skeletal muscle.

PAGES: 20
BIG AREA: Ciências da Saúde
AREA: Nutrição
SUMMARY:

Background

Bioelectrical impedance analysis (BIA) requires validated equations tailored to specific populations and devices to estimate body composition. In this study, we aimed to develop a predictive equation for BIA to evaluate skeletal muscle area (SMA in cm²) using computed tomography (CT) as the reference method.

Methods

This is a cross-sectional, bi-center study, involving 211 patients. BIA was conducted using a tetrapolar model, measuring resistance (R), and reactance (Xc) values. CT scans served as the reference standard technique for assessing SMA. The equation was developed using a linear regression model, maintaining variables that best correlate to SMACT. Validity was assessed using Bland-Altman plots and bootstrapping resampling method. Lins’ concordance correlation coefficient (CCC), root mean squared error (RMSE), and mean absolute error (MAE) were calculated before and after resampling.

Results

The proposed equation included sex, age, weight, height, resistance and reactance. This model accounted for more than 85% of the variability in SMACT (R2 adjusted = 0.86), with a RMSE of 10.37 cm2 and MAE of 8.28 cm2. SMABIA was highly correlated with SMACT (ρ = 0.93, P < .001). Bland-Altman plots and CCC (0.92) demonstrated a moderate agreement between SMABIA and SMACT. Bootstrap analyses based on a sample of 10,000 further demonstrated the equation's validity, yielding a lower RMSE (10.31 cm2).

Conclusion

Despite methodological challenges and a relatively high (but acceptable) error, the newly proposed BIA equation demonstrated potential for predicting SMACT as the reference standard. Our hypothesis requires further investigation in both healthy and clinical populations

COMMITTEE MEMBERS:
Presidente - 1879430 - ANA PAULA TRUSSARDI FAYH
Externo ao Programa - 2626634 - PAULO MOREIRA SILVA DANTAS - nullExterna à Instituição - SARA MARIA MOREIRA LIMA VERDE - UECE