BACKGROUND: The purpose of this study was to critically examine current approaches for estimating energy expenditure and requirements of hospitalized patients requiring nutrition support. METHODS: All indirect calorimetry tests performed by our adult nutrition support service from 1991 to 2000 were reviewed. Stress factors were calculated as the measured energy expenditure divided by the predicted energy expenditure using the Harris-Benedict equation. Various methods for adjusting the body weights of obese subjects for use in the Harris-Benedict equation were evaluated. RESULTS: The average stress factor for these hospitalized patients was 1.25, and there were no differences in the stress factors between men and women. For obese subjects, using an adjusted body weight equal to ideal body weight plus 50% of the difference between ideal and actual body weight in the Harris-Benedict equation gave stress factors comparable with normal weight subjects. For underweight subjects, using the actual rather than ideal body weight gave stress factors that were most similar to normal weight patients. Disease-specific stress factors were calculated and compared with literature values. Mechanical ventilation, recent feeding, fever, and restlessness during the indirect calorimetry measurement increased the measured energy expenditure. CONCLUSIONS: Our findings provide nutrition support services with updated information on disease-specific stress factors that can be used for estimating energy expenditure in hospitalized patients. An adjusted body weight equal to ideal body weight plus 50% of the excess body weight should be used for estimating the energy requirements of obese patients requiring nutrition support.
BACKGROUND: The purpose of this study was to critically examine current approaches for estimating energy expenditure and requirements of hospitalized patients requiring nutrition support. METHODS: All indirect calorimetry tests performed by our adult nutrition support service from 1991 to 2000 were reviewed. Stress factors were calculated as the measured energy expenditure divided by the predicted energy expenditure using the Harris-Benedict equation. Various methods for adjusting the body weights of obese subjects for use in the Harris-Benedict equation were evaluated. RESULTS: The average stress factor for these hospitalized patients was 1.25, and there were no differences in the stress factors between men and women. For obese subjects, using an adjusted body weight equal to ideal body weight plus 50% of the difference between ideal and actual body weight in the Harris-Benedict equation gave stress factors comparable with normal weight subjects. For underweight subjects, using the actual rather than ideal body weight gave stress factors that were most similar to normal weight patients. Disease-specific stress factors were calculated and compared with literature values. Mechanical ventilation, recent feeding, fever, and restlessness during the indirect calorimetry measurement increased the measured energy expenditure. CONCLUSIONS: Our findings provide nutrition support services with updated information on disease-specific stress factors that can be used for estimating energy expenditure in hospitalized patients. An adjusted body weight equal to ideal body weight plus 50% of the excess body weight should be used for estimating the energy requirements of obesepatients requiring nutrition support.
Authors: Rebecca B Little; Robert A Oster; Betty E Darnell; Wendy Demark-Wahnefried; L Burt Nabors Journal: Nutr Cancer Date: 2016-06-24 Impact factor: 2.900
Authors: Cheryl E Hickmann; Jean Roeseler; Diego Castanares-Zapatero; Eduardo I Herrera; Arthur Mongodin; Pierre-François Laterre Journal: Intensive Care Med Date: 2014-01-30 Impact factor: 17.440
Authors: Agostino Paccagnella; Michela Morello; Maria C Da Mosto; Carla Baruffi; Maria L Marcon; Alessandro Gava; Vittorio Baggio; Stefano Lamon; Roberta Babare; Giovanni Rosti; Marta Giometto; Paolo Boscolo-Rizzo; Edward Kiwanuka; Michele Tessarin; Lorenza Caregaro; Carlo Marchiori Journal: Support Care Cancer Date: 2009-08-30 Impact factor: 3.603