151751-Najiba-Chargi

413 The elderly head and neck cancer patient: skeletal muscle mass and frailty Table 3.2 shows the univariate and multivariate logistic regression analysis with frailty, based on CGA, as the dependent variable. The univariate regression analysis with frailty as depen - dent variables distinguished CCI (OR 1.35 95% CI 1,03-1,76, P=0.029), HSG (OR 0.92, 95% CI 0,87-0,97, P=0.006), SMI (OR 0.89, 95% CI 0,83-0,96, P=0.002), and sarcopenia (OR 2.98, 95% CI 1.05-8.47, P=0.040) as significant variables for predicting frailty. These significant variables were subjected to a multivariate analysis. The first with sarcopenia and the second with HSG and SMI because of assumed multicollinearity. In the second only SMI (OR 0.89, 95% CI 0.82- 0.96, P=0.003) remained significant. Table 3.2. Univariate andmultivariate logistic regression analysis for analyzing variables associated with frailty based on CGA in HNC patients Frailty Univariate analysis Multivariate analysis OR 95% CI P-value OR 95% CI P-value OR 95% CI P-value Age (years) ≤ 80 Ref. > 80 2.53 1.0 - 6.6 0.06 Charlson comorbidity index 1.35 1.0 - 1.8 0.03** 1.3 1.0 - 1.7 0.06 1.33 1.0 - 1.8 0.06 TNM Stage I Ref. II 0.83 0.2 - 4.5 0.82 III 0.45 0.1 - 2.7 0.38 IV 0.68 0.1 - 3.3 0.63 HSG 0.92 0.9 - 1.0 0.01* 0.94 0.8 - 1.0 0.06 SMI 0.89 0.8 - 1.0 0.002* 0.89 0.8 - 1.0 0.003* Sarcopenia No Ref. Yes 2.98 1.1 - 8.5 0.04** 2.5 0.9 - 7.3 0.1 The first with multivariate analysis is conducted with Frailty CGA and the second with Frailty Fried criteria because of assumed multicollinearity. BMI= Body Mass Index. GFI= Groningen Frailty Indicator. CGA= Comprehensive Geriatric Assessment. *. Correlation is significant at the 0.01 level (2-tailed)**. Correlation is significant at the 0.05 level (2-tailed) DISCUSSION In this study the association between sarcopenia and frailty in 73 participants was retro- spectively examined. Sarcopenia is associated with frailty defined with the CGA and Fried criteria, but not with the GFI frailty screening. Furthermore, the Fried criteria and BMI are significant predictors for sarcopenia. Frailty based on the CGA shows associations with the SMI and sarcopenia. Moreover, SMI shows to be a reliable predictor for frailty based on CGA. 20