Accuracy of Computed Equations for Predicting the Resting Energy Requirements in Patients with Generalized Secondary Peritonitis

Nutritional support is central to prompt treatment of patients with generalized secondary peritonitis (GSP).These patients desperately need a simple and affordable solution to evaluate their daily energy need.Objective: to determine accuracy of estimating the Resting Energy Expenditure (REE) in GSP p...

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Main Author: O. G. Sivkov
Format: Article
Language:Russian
Published: Russian Academy of Medical Sciences 2020-08-01
Series:Obŝaâ Reanimatologiâ
Subjects:
Online Access:https://www.reanimatology.com/rmt/article/view/1946
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spelling doaj-2cbccd3f32b147ac9aeaa1b672d96d832021-07-28T21:21:58ZrusRussian Academy of Medical SciencesObŝaâ Reanimatologiâ1813-97792411-71102020-08-01164323910.15360/1813-9779-2020-4-32-391757Accuracy of Computed Equations for Predicting the Resting Energy Requirements in Patients with Generalized Secondary PeritonitisO. G. Sivkov0Medical and Sanitary Unit «Neftyanik»; Tyumen State Medical University, Ministry of Health of RussiaNutritional support is central to prompt treatment of patients with generalized secondary peritonitis (GSP).These patients desperately need a simple and affordable solution to evaluate their daily energy need.Objective: to determine accuracy of estimating the Resting Energy Expenditure (REE) in GSP patients.Materials and methods. Study design: a prospective, single center study. The inclusion criteria: diagnosed GSP and stay at the Intensive Care Unit (ICU). Three treatment arms were formed. The first arm included all patients (n=61), the second arm included patients capable to breath spontaneously and adequately (n=29), and the third arm included patients on artificial ventilation (n=32). Reference values of REE were calculated by Indirect Calorimetry (IC) method using Engstrom Carestation Lung Ventilator and Metabolic (General Electric,USA). Six equations were used to predict REE values: Ideal Body Weight multiplied by 25 (IBWX25); Actual Body Weight multiplied by 25 (ABWX25); J. A. Harris, F. Benedict (HB); HB with corrective ratio 1.25 (HBX1.25); C. Ireton-Jones, 1992 (IJ); PennState, 2003 equation, in modification (PS). SPSS Software Package was used for statistical analysis of the results. The zero hypothesis was rejected at P<0.05.Results. In patients with GSP, the REE value determined by means of Indirect Calorimetry method was equal to 25.78±1.37 kcal/kg/day. If compared with Indirect Calorimetry results, predictive accuracy of calculation equations in the second and third arm, respectively, were as follows: IBWX25: 30 and 0%, HB: 36.7 and 9.9%, HBX1.25: 49.9 and 45.5%, IJ: 51.8 and 53.2%, ABWX25: 63.4 and 60.6%, PS (as determined in patients on mechanical ventilation only): 42.4%.Conclusion. Indirect Calorimetry method is the only accurate way of REE evaluation in GSP patients. ABWX25 and IJ showed the highest predictive accuracy. IBWX25 and HB had the lowest predictive accuracy.https://www.reanimatology.com/rmt/article/view/1946peritonitisabdominal sepsisresting metabolismresting energy expendituregeneralized secondary peritonitis
collection DOAJ
language Russian
format Article
sources DOAJ
author O. G. Sivkov
spellingShingle O. G. Sivkov
Accuracy of Computed Equations for Predicting the Resting Energy Requirements in Patients with Generalized Secondary Peritonitis
Obŝaâ Reanimatologiâ
peritonitis
abdominal sepsis
resting metabolism
resting energy expenditure
generalized secondary peritonitis
author_facet O. G. Sivkov
author_sort O. G. Sivkov
title Accuracy of Computed Equations for Predicting the Resting Energy Requirements in Patients with Generalized Secondary Peritonitis
title_short Accuracy of Computed Equations for Predicting the Resting Energy Requirements in Patients with Generalized Secondary Peritonitis
title_full Accuracy of Computed Equations for Predicting the Resting Energy Requirements in Patients with Generalized Secondary Peritonitis
title_fullStr Accuracy of Computed Equations for Predicting the Resting Energy Requirements in Patients with Generalized Secondary Peritonitis
title_full_unstemmed Accuracy of Computed Equations for Predicting the Resting Energy Requirements in Patients with Generalized Secondary Peritonitis
title_sort accuracy of computed equations for predicting the resting energy requirements in patients with generalized secondary peritonitis
publisher Russian Academy of Medical Sciences
series Obŝaâ Reanimatologiâ
issn 1813-9779
2411-7110
publishDate 2020-08-01
description Nutritional support is central to prompt treatment of patients with generalized secondary peritonitis (GSP).These patients desperately need a simple and affordable solution to evaluate their daily energy need.Objective: to determine accuracy of estimating the Resting Energy Expenditure (REE) in GSP patients.Materials and methods. Study design: a prospective, single center study. The inclusion criteria: diagnosed GSP and stay at the Intensive Care Unit (ICU). Three treatment arms were formed. The first arm included all patients (n=61), the second arm included patients capable to breath spontaneously and adequately (n=29), and the third arm included patients on artificial ventilation (n=32). Reference values of REE were calculated by Indirect Calorimetry (IC) method using Engstrom Carestation Lung Ventilator and Metabolic (General Electric,USA). Six equations were used to predict REE values: Ideal Body Weight multiplied by 25 (IBWX25); Actual Body Weight multiplied by 25 (ABWX25); J. A. Harris, F. Benedict (HB); HB with corrective ratio 1.25 (HBX1.25); C. Ireton-Jones, 1992 (IJ); PennState, 2003 equation, in modification (PS). SPSS Software Package was used for statistical analysis of the results. The zero hypothesis was rejected at P<0.05.Results. In patients with GSP, the REE value determined by means of Indirect Calorimetry method was equal to 25.78±1.37 kcal/kg/day. If compared with Indirect Calorimetry results, predictive accuracy of calculation equations in the second and third arm, respectively, were as follows: IBWX25: 30 and 0%, HB: 36.7 and 9.9%, HBX1.25: 49.9 and 45.5%, IJ: 51.8 and 53.2%, ABWX25: 63.4 and 60.6%, PS (as determined in patients on mechanical ventilation only): 42.4%.Conclusion. Indirect Calorimetry method is the only accurate way of REE evaluation in GSP patients. ABWX25 and IJ showed the highest predictive accuracy. IBWX25 and HB had the lowest predictive accuracy.
topic peritonitis
abdominal sepsis
resting metabolism
resting energy expenditure
generalized secondary peritonitis
url https://www.reanimatology.com/rmt/article/view/1946
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