BACKGROUND: In nine patients with multiple organ failure ultrasound was able to identify muscle wasting despite the presence of oedema (Campbell et al., J Clin Nutr 62 (1995) 533). AIMS: The purpose of the present study was twofold: one was to determine whether this technique was applicable to a much larger ICU population, many of whom were not as ill as the original subjects. The second reason was to determine whether a relationship could be identified between rates of wasting and energy balance. METHODS: Serial measurements of both mid-upper arm circumference (MAC) and muscle thickness, using ultrasound, were made at 1-3 day intervals between 5 and 39 (median 7) days in 50 critically ill patients. RESULTS: Muscle thickness decreased in 48 of the 50 patients at a median rate of 1.6%/day with a range of 0.2-5.7%/day. In 33 patients, in whom MAC did not change significantly with time, muscle thickness decreased by between 0.3 and 4.2 (median 1.6)%/day. In three patients MAC increased significantly with time but muscle thickness decreased by between 1.3 and 5.7 (median 2.6)%/day. Twelve patients showed a significant decrease in MAC with time and muscle thickness in this group decreased by between 0.2 and 4.0 (median 1.3)%/day. The percentage decrease in muscle thickness between the groups, in whom MAC decreased or did not change, was not significantly different (P = 0.475). CONCLUSION: We have demonstrated that an ultrasound technique devised to identify muscle wasting in the presence of severe fluid retention works in the majority (48/50) of patients when applied to a wider ICU population. Energy balance made no difference to the rate of wasting.
BACKGROUND: In nine patients with multiple organ failure ultrasound was able to identify muscle wasting despite the presence of oedema (Campbell et al., J Clin Nutr 62 (1995) 533). AIMS: The purpose of the present study was twofold: one was to determine whether this technique was applicable to a much larger ICU population, many of whom were not as ill as the original subjects. The second reason was to determine whether a relationship could be identified between rates of wasting and energy balance. METHODS: Serial measurements of both mid-upper arm circumference (MAC) and muscle thickness, using ultrasound, were made at 1-3 day intervals between 5 and 39 (median 7) days in 50 critically ill patients. RESULTS: Muscle thickness decreased in 48 of the 50 patients at a median rate of 1.6%/day with a range of 0.2-5.7%/day. In 33 patients, in whom MAC did not change significantly with time, muscle thickness decreased by between 0.3 and 4.2 (median 1.6)%/day. In three patients MAC increased significantly with time but muscle thickness decreased by between 1.3 and 5.7 (median 2.6)%/day. Twelve patients showed a significant decrease in MAC with time and muscle thickness in this group decreased by between 0.2 and 4.0 (median 1.3)%/day. The percentage decrease in muscle thickness between the groups, in whom MAC decreased or did not change, was not significantly different (P = 0.475). CONCLUSION: We have demonstrated that an ultrasound technique devised to identify muscle wasting in the presence of severe fluid retention works in the majority (48/50) of patients when applied to a wider ICU population. Energy balance made no difference to the rate of wasting.
Authors: Selina M Parry; Catherine L Granger; Sue Berney; Jennifer Jones; Lisa Beach; Doa El-Ansary; René Koopman; Linda Denehy Journal: Intensive Care Med Date: 2015-02-05 Impact factor: 17.440
Authors: Michelle E Kho; Alexander D Truong; Roy G Brower; Jeffrey B Palmer; Eddy Fan; Jennifer M Zanni; Nancy D Ciesla; Dorianne R Feldman; Radha Korupolu; Dale M Needham Journal: Phys Ther Date: 2012-03-15
Authors: Rodrigo Cerqueira Borges; Celso R F Carvalho; Alexandra Siqueira Colombo; Mariucha Pereira da Silva Borges; Francisco Garcia Soriano Journal: Intensive Care Med Date: 2015-06-25 Impact factor: 17.440
Authors: Claudia-Paula Heidegger; Jacques-André Romand; Miriam M Treggiari; Claude Pichard Journal: Intensive Care Med Date: 2007-04-28 Impact factor: 17.440