Throwing darts in ICU: how close are we in estimating energy requirements?

BackgroundIndirect calorimetry (IC) is the gold standard for determining energy requirement. Due to lack of availability in many institutions, predictive equations are used to estimate energy requirements. The purpose of this study is to determine the accuracy of predictive equations (ie, Harris-Ben...

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Bibliographic Details
Published in:Trauma surgery & acute care open 2020-09, Vol.5 (1), p.e000493-e000493
Main Authors: Grguric, Laryssa, Musillo, Lisa, DiGiacomo, Jody C, Munnangi, Swapna
Format: Article
Language:English
Subjects:
Age
Agreements
Body mass index
Critical care
Energy
Enteral nutrition
Gender
Heart rate
Intensive care
intensive care units
Metabolism
Nutrition
nutritional sciences
Original Research
Parenteral nutrition
Patients
Ventilators
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Summary:BackgroundIndirect calorimetry (IC) is the gold standard for determining energy requirement. Due to lack of availability in many institutions, predictive equations are used to estimate energy requirements. The purpose of this study is to determine the accuracy of predictive equations (ie, Harris-Benedict equation (HBE), Mifflin-St Jeor equation (MSJ), and Penn State University equation (PSU)) used to determine energy needs for critically ill, ventilated patients compared with measured resting energy expenditure (mREE).MethodsThe researchers examined data routinely collected as part of clinical care for patients within intensive care units (ICUs). The final sample consisted of 68 patients. All studies were recorded during a single inpatient stay within an ICU.ResultsPatients, on average, had an mREE of 33.9 kcal/kg using IC. The estimated energy requirement when using predictive equations was 24.8 kcal/kg (HBE×1.25), 24.0 kcal/kg (MSJ×1.25), and 26.8 kcal/kg (PSU).DiscussionThis study identified significant differences between mREE and commonly used predictive equations in the ICU.Level of evidenceIII.
ISSN:2397-5776
2397-5776
DOI:10.1136/tsaco-2020-000493