2015
DOI: 10.1177/0148607114567898
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Prevalence of Underprescription or Overprescription of Energy Needs in Critically Ill Mechanically Ventilated Adults as Determined by Indirect Calorimetry

Abstract: Large discrepancies exist between predictive equation estimates and indirect calorimetry measurements in individuals and groups. Further research is needed to determine the influence of indirect calorimetry and predictive equation limitations in contributing to these observed differences.

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Cited by 99 publications
(87 citation statements)
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References 51 publications
(60 reference statements)
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“…4 As a result, predictive equations (PEs) aiming to estimate the REE were developed in the past century and are frequently used in clinical practice in the place of IC. 7,8 Despite a large number of existing equations, the accuracy of PEs is still questioned, and they may not be suited for elderly patients as most were validated for the healthy, young, adult population. In addition, aging is associated with changes in body composition such as the reduction of fat-free mass, resulting in the progressive decrease of the REE at a rate of 1%-2% per year beginning at age 20 years.…”
Section: Introductionmentioning
confidence: 99%
“…4 As a result, predictive equations (PEs) aiming to estimate the REE were developed in the past century and are frequently used in clinical practice in the place of IC. 7,8 Despite a large number of existing equations, the accuracy of PEs is still questioned, and they may not be suited for elderly patients as most were validated for the healthy, young, adult population. In addition, aging is associated with changes in body composition such as the reduction of fat-free mass, resulting in the progressive decrease of the REE at a rate of 1%-2% per year beginning at age 20 years.…”
Section: Introductionmentioning
confidence: 99%
“…One systematic review of 18 studies showed discrepancies between predictive equations and indirect calorimetry in predicting resting energy expenditure. Of the 160 variations of 13 predictive equations reviewed at a group level, 38% underestimated and 12% overestimated energy expenditure by >10%, and on an individual patient level, predictive equations underestimated and overestimated energy expenditure in 13%–90% and 0%–88% of patients, respectively …”
Section: Discussionmentioning
confidence: 99%
“…The absence of a gold standard method to quantify requirements is an important limitation of all the studies included, since the prevalence of underprescription or overprescription of energy needs in critically ill mechanically ventilated patients is high when predictive equations or weight-based fixed prescriptions are compared to estimates of indirect calorimetry values (38% and 12%, respectively) (41). Thus, the standard caloric requirements and the goals of caloric intake set by the strategies evaluated (full-feeding versus underfeeding) probably fail to match the actual energy needs.…”
Section: Discussionmentioning
confidence: 99%