BACKGROUND AND OBJECTIVE: Detailed body composition, such as fat-free mass, has not been examined in idiopathic pulmonary fibrosis (IPF). We investigated whether the fat-free mass index (FFMI), an index of lean body mass, predicted survival. METHODS: Forty-four patients with IPF were enrolled in the study. Their body composition was assessed using direct segmental multi-frequency bioelectrical impedance analysis. The degree of correlation between variables of body composition and other variables such as forced vital capacity (FVC) and survival was examined. RESULTS: There was a significant positive correlation between FFMI and FVC, diffusion capacity of the lung for carbon monoxide (DLCO ) and 6-min walk distance, and a significant negative correlation with age. However, there was no significant correlation between FFMI and percentage predicted FVC or DLCO , with the degree of correlation being similar to that observed for BMI. The mean observation period in the survival analysis was 837.5 ± 407.5 days. A univariate Cox proportional hazard model showed that several variables, but not BMI, were associated significantly with survival. FFMI (hazard ratio (HR): 0.64, 95% CI: 0.43-0.94, P = 0.02) and percentage predicted FVC (HR: 0.96, 95% CI: 0.93-0.99, P=0.008) were significant factors in a multivariate model. CONCLUSION: We conclude that FFMI is a significant independent predictor of survival in patients with IPF.
BACKGROUND AND OBJECTIVE: Detailed body composition, such as fat-free mass, has not been examined in idiopathic pulmonary fibrosis (IPF). We investigated whether the fat-free mass index (FFMI), an index of lean body mass, predicted survival. METHODS: Forty-four patients with IPF were enrolled in the study. Their body composition was assessed using direct segmental multi-frequency bioelectrical impedance analysis. The degree of correlation between variables of body composition and other variables such as forced vital capacity (FVC) and survival was examined. RESULTS: There was a significant positive correlation between FFMI and FVC, diffusion capacity of the lung for carbon monoxide (DLCO ) and 6-min walk distance, and a significant negative correlation with age. However, there was no significant correlation between FFMI and percentage predicted FVC or DLCO , with the degree of correlation being similar to that observed for BMI. The mean observation period in the survival analysis was 837.5 ± 407.5 days. A univariate Cox proportional hazard model showed that several variables, but not BMI, were associated significantly with survival. FFMI (hazard ratio (HR): 0.64, 95% CI: 0.43-0.94, P = 0.02) and percentage predicted FVC (HR: 0.96, 95% CI: 0.93-0.99, P=0.008) were significant factors in a multivariate model. CONCLUSION: We conclude that FFMI is a significant independent predictor of survival in patients with IPF.
Authors: Carla M Prado; Sarah A Purcell; Carolyn Alish; Suzette L Pereira; Nicolaas E Deutz; Daren K Heyland; Bret H Goodpaster; Kelly A Tappenden; Steven B Heymsfield Journal: Ann Med Date: 2018-09-12 Impact factor: 4.709
Authors: Paola Faverio; Alessia Fumagalli; Sara Conti; Fabiana Madotto; Francesco Bini; Sergio Harari; Michele Mondoni; Tiberio Oggionni; Emanuela Barisione; Paolo Ceruti; Maria Chiara Papetti; Bruno Dino Bodini; Antonella Caminati; Angela Valentino; Stefano Centanni; Donatella Noè; Matteo Della Zoppa; Silvia Crotti; Marco Grosso; Samir Giuseppe Sukkar; Denise Modina; Marco Andreoli; Roberta Nicali; Giulia Suigo; Federica De Giacomi; Sara Busnelli; Elena Cattaneo; Lorenzo Giovanni Mantovani; Giancarlo Cesana; Alberto Pesci; Fabrizio Luppi Journal: ERJ Open Res Date: 2022-03-07
Authors: Felipe V C Machado; Ada E M Bloem; Tessa Schneeberger; Inga Jarosch; Rainer Gloeckl; Sandra Winterkamp; Frits M E Franssen; Andreas R Koczulla; Fabio Pitta; Martijn A Spruit; Klaus Kenn Journal: BMJ Open Respir Res Date: 2021-10