Predictive Equations To Muscle Mass Volume In Patients With Spinocerebellar Ataxia (P2.030)

OBJECTIVE: to compare predictive anthropometric equations of muscle mass with one that uses BIA in predicting MM in a group of patients with SCA ataxias followed in the Service of Disturbios do Movimento at Hospital de Clinicas da Universidade Federal do Parana. BACKGROUND: The spinocerebellar ataxias (SCA) are part of a group of neurodegenerative disorders that affect balance and gait. Over time, they can affect muscle tone and may influence muscle trophism. Thus the assessment of this body component is relevant to seek for recovering and/or mainteining muscle mass (MM) through nutritional intervention. Although the use of bioelectrical impedance (BIA) have been increasingly indicated as a suitable tool for body composition analysis, it not always available, resulting on the use of anthropometric methods in most cases. DESIGN/METHODS: The anthropometric data were collected according to Lohman (1988) and BIA analysis according to Heyward e col (2000). The equation of Janssen, 2000 (A) that uses BIA to predict MM was compared to the following predictive anthropometric equations: Martin, 1990 (B); Doupe, 1997 (C); Lee, 2000 (D, E, F); and Heymsfield, 1982 (G). For data analysis the Pearson´s correlation test, sensitivity and specificity analyses by ROC Curve were used. RESULTS: Fifty SCA patients (aged 22 - 72 years) with average weight and height of 63.4 +14 kg and 160.0 + 26 cm, respectively were studied. The SCA score 3 was the most common (40%) and SARA scores ranged from 1 to 36.5. The equation E showed the highest correlation (r= 0.95), better sensitivity (100%) and higher specificity (78,2%) as compared to the equation A which uses BIA in predicting muscle mass. CONCLUSIONS: The results demonstrated that the anthropometric data are suitable for estimating muscle mass of SCA patients, as well as for assessing and monitoring their muscular impairment. Study Supported by: Disclosure: Dr. Leite has nothing to disclose. Dr. Macedo has nothing to disclose. Dr. Schieferdecker has nothing to disclose. Dr. Vilela has nothing to disclose. Dr. Teive has nothing to disclose. Dr. Moro has nothing to disclose.