A single-center prospective observational study comparing resting energy expenditure in different phases of critical illness: indirect calorimetry versus predictive equations
Objectives: Several predictive equations have been developed for estimation of resting energy expenditure, but no study has been done to compare predictive equations against indirect calorimetry among critically ill patients at different phases of critical illness. This study aimed to determine the...
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RC Internal medicine RC82 Medical Emergencies, Critical Care, Intensive Care, First Aid Tah, Pei Chien Lee, Zheng Yii Poh, Bee Koon Abdul Majid, Hazreen Hakumat-Rai, Vineya-Rai Mat Nor, Mohd Basri Kee, Chee Cheong Kamarul Zaman, Mazuin Hasan, Mohd Shahnaz A single-center prospective observational study comparing resting energy expenditure in different phases of critical illness: indirect calorimetry versus predictive equations |
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Objectives: Several predictive equations have been developed for estimation of resting energy expenditure, but no study has been done to compare predictive equations against indirect calorimetry among critically ill patients at different phases of critical illness. This study aimed to determine the degree of agreement and accuracy of predictive equations among ICU patients during acute phase (≤ 5 d), late phase (6–10 d), and chronic phase (≥ 11 d). Design: This was a single-center prospective observational study that compared resting energy expenditure estimated by 15 commonly used predictive equations against resting energy expenditure measured by indirect calorimetry at different phases. Degree of agreement between resting energy expenditure calculated by predictive equations and resting energy expenditure measured by indirect calorimetry was analyzed using intraclass correlation coefficient and Bland-Altman analyses. Resting energy expenditure values calculated from predictive equations differing by ± 10% from resting energy expenditure measured by indirect calorimetry was used to assess accuracy. A score ranking method was developed to determine the best predictive equations. Setting: General Intensive Care Unit, University of Malaya Medical Centre. Patients: Mechanically ventilated critically ill patients. Interventions: None. Measurements and Main Results: Indirect calorimetry was measured thrice during acute, late, and chronic phases among 305, 180, and 91 ICU patients, respectively. There were significant differences (F = 3.447; p = 0.034) in mean resting energy expenditure measured by indirect calorimetry among the three phases. Pairwise comparison showed mean resting energy expenditure measured by indirect calorimetry in late phase (1,878 ± 517 kcal) was significantly higher than during acute phase (1,765 ± 456 kcal) (p = 0.037). The predictive equations with the best agreement and accuracy for acute phase was Swinamer (1990), for late phase was Brandi (1999) and Swinamer (1990), and for chronic phase was Swinamer (1990). None of the resting energy expenditure calculated from predictive equations showed very good agreement or accuracy. Conclusions: Predictive equations tend to either over- or underestimate resting energy expenditure at different phases. Predictive equations with “dynamic” variables and respiratory data had better agreement with resting energy expenditure measured by indirect calorimetry compared with predictive equations developed for healthy adults or predictive equations based on “static” variables. Although none of the resting energy expenditure calculated from predictive equations had very good agreement, Swinamer (1990) appears to provide relatively good agreement across three phases and could be used to predict resting energy expenditure when indirect calorimetry is not available. |
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Tah, Pei Chien Lee, Zheng Yii Poh, Bee Koon Abdul Majid, Hazreen Hakumat-Rai, Vineya-Rai Mat Nor, Mohd Basri Kee, Chee Cheong Kamarul Zaman, Mazuin Hasan, Mohd Shahnaz |
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Tah, Pei Chien Lee, Zheng Yii Poh, Bee Koon Abdul Majid, Hazreen Hakumat-Rai, Vineya-Rai Mat Nor, Mohd Basri Kee, Chee Cheong Kamarul Zaman, Mazuin Hasan, Mohd Shahnaz |
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Tah, Pei Chien |
title |
A single-center prospective observational study comparing resting energy expenditure in different phases of critical illness: indirect calorimetry versus predictive equations |
title_short |
A single-center prospective observational study comparing resting energy expenditure in different phases of critical illness: indirect calorimetry versus predictive equations |
title_full |
A single-center prospective observational study comparing resting energy expenditure in different phases of critical illness: indirect calorimetry versus predictive equations |
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A single-center prospective observational study comparing resting energy expenditure in different phases of critical illness: indirect calorimetry versus predictive equations |
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A single-center prospective observational study comparing resting energy expenditure in different phases of critical illness: indirect calorimetry versus predictive equations |
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single-center prospective observational study comparing resting energy expenditure in different phases of critical illness: indirect calorimetry versus predictive equations |
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wolterskluwer.com |
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2020 |
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http://irep.iium.edu.my/80153/1/80153_A%20Single-Center%20Prospective%20Observational.pdf http://irep.iium.edu.my/80153/2/80153_A%20Single-Center%20Prospective%20Observational%20-%20SCOPUS%20in%20press.pdf http://irep.iium.edu.my/80153/ https://journals.lww.com/ccmjournal/Abstract/2020/05000/A_Single_Center_Prospective_Observational_Study.32.aspx |
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my.iium.irep.801532021-05-14T07:40:31Z http://irep.iium.edu.my/80153/ A single-center prospective observational study comparing resting energy expenditure in different phases of critical illness: indirect calorimetry versus predictive equations Tah, Pei Chien Lee, Zheng Yii Poh, Bee Koon Abdul Majid, Hazreen Hakumat-Rai, Vineya-Rai Mat Nor, Mohd Basri Kee, Chee Cheong Kamarul Zaman, Mazuin Hasan, Mohd Shahnaz RC Internal medicine RC82 Medical Emergencies, Critical Care, Intensive Care, First Aid Objectives: Several predictive equations have been developed for estimation of resting energy expenditure, but no study has been done to compare predictive equations against indirect calorimetry among critically ill patients at different phases of critical illness. This study aimed to determine the degree of agreement and accuracy of predictive equations among ICU patients during acute phase (≤ 5 d), late phase (6–10 d), and chronic phase (≥ 11 d). Design: This was a single-center prospective observational study that compared resting energy expenditure estimated by 15 commonly used predictive equations against resting energy expenditure measured by indirect calorimetry at different phases. Degree of agreement between resting energy expenditure calculated by predictive equations and resting energy expenditure measured by indirect calorimetry was analyzed using intraclass correlation coefficient and Bland-Altman analyses. Resting energy expenditure values calculated from predictive equations differing by ± 10% from resting energy expenditure measured by indirect calorimetry was used to assess accuracy. A score ranking method was developed to determine the best predictive equations. Setting: General Intensive Care Unit, University of Malaya Medical Centre. Patients: Mechanically ventilated critically ill patients. Interventions: None. Measurements and Main Results: Indirect calorimetry was measured thrice during acute, late, and chronic phases among 305, 180, and 91 ICU patients, respectively. There were significant differences (F = 3.447; p = 0.034) in mean resting energy expenditure measured by indirect calorimetry among the three phases. Pairwise comparison showed mean resting energy expenditure measured by indirect calorimetry in late phase (1,878 ± 517 kcal) was significantly higher than during acute phase (1,765 ± 456 kcal) (p = 0.037). The predictive equations with the best agreement and accuracy for acute phase was Swinamer (1990), for late phase was Brandi (1999) and Swinamer (1990), and for chronic phase was Swinamer (1990). None of the resting energy expenditure calculated from predictive equations showed very good agreement or accuracy. Conclusions: Predictive equations tend to either over- or underestimate resting energy expenditure at different phases. Predictive equations with “dynamic” variables and respiratory data had better agreement with resting energy expenditure measured by indirect calorimetry compared with predictive equations developed for healthy adults or predictive equations based on “static” variables. Although none of the resting energy expenditure calculated from predictive equations had very good agreement, Swinamer (1990) appears to provide relatively good agreement across three phases and could be used to predict resting energy expenditure when indirect calorimetry is not available. wolterskluwer.com 2020-05-01 Article PeerReviewed application/pdf en http://irep.iium.edu.my/80153/1/80153_A%20Single-Center%20Prospective%20Observational.pdf application/pdf en http://irep.iium.edu.my/80153/2/80153_A%20Single-Center%20Prospective%20Observational%20-%20SCOPUS%20in%20press.pdf Tah, Pei Chien and Lee, Zheng Yii and Poh, Bee Koon and Abdul Majid, Hazreen and Hakumat-Rai, Vineya-Rai and Mat Nor, Mohd Basri and Kee, Chee Cheong and Kamarul Zaman, Mazuin and Hasan, Mohd Shahnaz (2020) A single-center prospective observational study comparing resting energy expenditure in different phases of critical illness: indirect calorimetry versus predictive equations. Critical Care Medicine, 48 (5). e380-e390. ISSN 0090-3493 E-ISSN 1530-0293 https://journals.lww.com/ccmjournal/Abstract/2020/05000/A_Single_Center_Prospective_Observational_Study.32.aspx 10.1097/CCM.0000000000004282 |
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