Skip Navigation
Skip to contents

Ann Clin Nutr Metab : Annals of Clinical Nutrition and Metabolism

OPEN ACCESS

Search

Page Path
HOME > Search
2 "Energy expenditure"
Filter
Filter
Article category
Keywords
Publication year
Authors
Original Articles
Comparison of Energy Requirements of Patients with Brain Injury of the Intensive Care Unit: Indirect Calorimetry vs. Predictive Equations
EunJoo Bae, SeongSuk Kang, MiYeon Kim, JinYoung Jang, HyunJung Lim, TaeGon Kim
J Clin Nutr 2020;12(2):41-47.   Published online December 31, 2020
DOI: https://doi.org/10.15747/jcn.2020.12.2.41
AbstractAbstract PDFePub
Purpose: The metabolic activity and demand usually increase in seriously ill patients, especially in patients with a brain injury (BI). These nutritional demands have been traditionally satisfied using predictive equations (PEs). Recently, indirect calorimetry (IC) has been used widely because it is more accurate than other methods. This study measured the energy expenditures (EE) using IC (GE, CARESCAPE B650, Helsinki, Finland) and calculated the PEs simultaneously in patients with BI.
Methods: This study was conducted on 55 patients with a BI for three years (2017.7∼2020.8), who were mechanically ventilated within a hospital for ≤seven days. The EE values using IC were measured once in each patient, and the EE values using PE were calculated using 5 PEs (ESPEN, Harris-Benedict, HB; Frankenfield, FK; Penn state, PS; and Faisy) at the same time. The 55 patients were divided into two groups, acute group (39 patients; ≤3 hospital days group, AG) and subacute group (16 patients; >3 hospital days group, SG) according to the time, and the values were obtained.
Results: There were no differences in the patient’s characteristics between the two groups, including age, gender, severity of the condition (Simplified Acute Physiology Score II), and anthropometric parameters. In AG, the energy expenditure values using PEs were significantly lower than those using IC in the three PEs (IC 1,712.0±476 kcal, ESPEN 1,558.6±324 kcal, P=0.038, HB 1,582.4±273 kcal, P=0.037, PS 1,530.8±340 kcal, P=0.005). In SG, the EE value using PEs did not differ significantly from that using IC.
Conclusion: An accurate assessment of EE is critical for seriously ill patients. These results showed that the previously well-known PEs might not be correct, particularly in acute patients with BI. Therefore, it is recommended that the EE values be obtained using IC, at least in acute patients with BI.
  • 152 View
  • 2 Download
Close layer
Determination of the Stress Factor Calculated from the Changes in the Measured Resting Energy Expenditure with Indirect Calorimetry in Patients Undergoing Pancreaticoduodenectomy
Seon Hyeong Kim, Baik Hwan Cho, Sook Bae Kim, Mi Jin Jeong, Hee Chul Yu
J Clin Nutr 2017;9(2):62-67.   Published online December 31, 2017
DOI: https://doi.org/10.15747/jcn.2017.9.2.62
AbstractAbstract PDFePub

Purpose

To predict the energy expenditure using the stress factor representing the ratio of the metabolic variation between pre-operation and post-operation in a pancreaticoduodenectomy (PD).

Methods

This was a prospective study conducted on 17 patients (11 males and 6 females) who underwent PD at Chonbuk National University Hospital between March 2010 and October 2011. The rest energy expenditure was measured by indirect calorimetry 1 day before and 3 days after surgery. The height, weight, and fat free mass were also measured 1 day before surgery.

Results

The mean measured rest energy expenditure 1 day before PD (mREEpre) and 3 days after PD (mREEpost) were significantly different (16.8±2.6 vs. 18.8±3.5 kcal/kg/d, P=0.0076). The stress factor, representing the ratio of the metabolic changes between pre- and post-PD, was 1.12±0.17. The recommended energy requirement for PD patients is estimated to be 23∼24 kcal/ideal body weight/d [determined from the measured preoperative rest energy expenditure (16.8±2.6 kcal/kg/d)×activity factor (1.2∼1.3)×stress factor (1.12)].

Conclusion

PD patients maintained a hypermetabolic status and the applicable stress factor was 1.12.

  • 139 View
  • 1 Download
Close layer

Ann Clin Nutr Metab : Annals of Clinical Nutrition and Metabolism
Close layer
TOP