BACKGROUND: Low fat-free mass may be an independent risk factor for malnutrition that results in an increased length of hospital stay (LOS). OBJECTIVES: The objectives were to compare differences in fat-free mass and fat mass at hospital admission between patients and healthy control subjects and to determine the association between these differences and the LOS. DESIGN: Patients (525 men, 470 women) were prospectively recruited at hospital admission. Height-corrected fat-free mass and fat mass (fat-free-mass index or fat-mass index; in kg/m2) were determined in patients at admission by bioelectrical impedance analysis and were compared with values for sex-, age-, and height-matched control subjects. Patients were classified as well-nourished, moderately depleted, or severely depleted on the basis of a Subjective Global Assessment questionnaire and a body mass index (in kg/m2) < or > 20. RESULTS: Low fat-free mass was noted in 37% and 55.6% of patients hospitalized 1-2 d and > 12 d, respectively. The odds ratios were significant for fat-free-mass index and were higher in patients with a LOS of > 12 d [men (odds ratio: 5.6; 95% CI: 3.1, 10.4), women (4.4; 2.3, 8.7)] than in those with a LOS of 1-2 d [men (3.3; 2.2, 5.0), women (2.2; 1.6, 3.1)]. Severe nutritional depletion was significantly associated only with a LOS > 12 d. CONCLUSION: Fat-free mass and fat-free-mass index were significantly lower in patients than in control subjects. Because the fat-free-mass index is significantly associated with an increased LOS, provides nutritional assessment information that complements that from a Subjective Global Assessment questionnaire, and is a more sensitive determinant of the association of fat-free mass with LOS than is a weight loss > 10% or a body mass index < 20, it should be used to evaluate nutritional status.
BACKGROUND: Low fat-free mass may be an independent risk factor for malnutrition that results in an increased length of hospital stay (LOS). OBJECTIVES: The objectives were to compare differences in fat-free mass and fat mass at hospital admission between patients and healthy control subjects and to determine the association between these differences and the LOS. DESIGN:Patients (525 men, 470 women) were prospectively recruited at hospital admission. Height-corrected fat-free mass and fat mass (fat-free-mass index or fat-mass index; in kg/m2) were determined in patients at admission by bioelectrical impedance analysis and were compared with values for sex-, age-, and height-matched control subjects. Patients were classified as well-nourished, moderately depleted, or severely depleted on the basis of a Subjective Global Assessment questionnaire and a body mass index (in kg/m2) < or > 20. RESULTS: Low fat-free mass was noted in 37% and 55.6% of patients hospitalized 1-2 d and > 12 d, respectively. The odds ratios were significant for fat-free-mass index and were higher in patients with a LOS of > 12 d [men (odds ratio: 5.6; 95% CI: 3.1, 10.4), women (4.4; 2.3, 8.7)] than in those with a LOS of 1-2 d [men (3.3; 2.2, 5.0), women (2.2; 1.6, 3.1)]. Severe nutritional depletion was significantly associated only with a LOS > 12 d. CONCLUSION: Fat-free mass and fat-free-mass index were significantly lower in patients than in control subjects. Because the fat-free-mass index is significantly associated with an increased LOS, provides nutritional assessment information that complements that from a Subjective Global Assessment questionnaire, and is a more sensitive determinant of the association of fat-free mass with LOS than is a weight loss > 10% or a body mass index < 20, it should be used to evaluate nutritional status.
Authors: H R Hull; J Thornton; J Wang; R N Pierson; Z Kaleem; X Pi-Sunyer; S Heymsfield; J Albu; J R Fernandez; T B Vanitallie; D Gallagher Journal: Int J Obes (Lond) Date: 2010-06-08 Impact factor: 5.095
Authors: Cristina R Bosoi; Mariana M Oliveira; Rafael Ochoa-Sanchez; Mélanie Tremblay; Gabriella A Ten Have; Nicolaas E Deutz; Christopher F Rose; Chantal Bemeur Journal: Metab Brain Dis Date: 2016-12-15 Impact factor: 3.584
Authors: V Venant; M Pouget; C Lahaye; E Gentes; B Pereira; C Lambert; J Debarges; C Domingues-Faria; C Palmier-Forestier; N Farigon; M Miolanne; Y Boirie Journal: J Nutr Health Aging Date: 2019 Impact factor: 4.075
Authors: Enid E Martinez; Craig D Smallwood; Nicolle L Quinn; Katelyn Ariagno; Lori J Bechard; Christopher P Duggan; Nilesh M Mehta Journal: J Pediatr Date: 2017-11 Impact factor: 4.406